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Metadata_Indicator_API_USA_DS2_en_csv_v2_2056322.csv

INDICATOR_CODE INDICATOR_NAME SOURCE_NOTE SOURCE_ORGANIZATION
VC.IDP.TOCV Internally displaced persons, total displaced by conflict and violence (number of people) Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. “People displaced” refers to the number of people living in displacement as of the end of each year, and reflects the stock of people displaced at the end of the previous year, plus inflows of new cases arriving over the year as well as births over the year to those displaced, minus outflows which may include returnees, those who settled elsewhere, those who integrated locally, those who travelled over borders, and deaths. The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
TX.VAL.MRCH.R4.ZS Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.QTY.MRCH.XD.WD Export volume index (2000 = 100) Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna­tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the export volume indexes (lines 72) in the IMF's International Financial Statistics are used. United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
TM.VAL.MRCH.R1.ZS Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.SM.FN.ZS Tariff rate, most favored nation, simple mean, primary products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TM.TAX.MANF.SM.FN.ZS Tariff rate, most favored nation, simple mean, manufactured products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
ST.INT.ARVL International tourism, number of arrivals International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.POP.TOTL.FE.ZS Population, female (% of total population) Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.65UP.TO.ZS Population ages 65 and above (% of total population) Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.4044.MA.5Y Population ages 40-44, male (% of male population) Male population between the ages 40 to 44 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1519.MA.5Y Population ages 15-19, male (% of male population) Male population between the ages 15 to 19 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.M15.2024.FE.ZS Women who were first married by age 15 (% of women ages 20-24) Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15. Demographic and Health Surveys (DHS)
SP.DYN.AMRT.MA Mortality rate, adult, male (per 1,000 male adults) Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.
SL.UEM.TOTL.ZS Unemployment, total (% of total labor force) (modeled ILO estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.ADVN.MA.ZS Unemployment with advanced education, male (% of male labor force with advanced education) The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.ZS Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.FE.ZS Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.MA.ZS Children in employment, study and work, male (% of male children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.MNF.0714.MA.ZS Child employment in manufacturing, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.VULN.MA.ZS Vulnerable employment, male (% of male employment) (modeled ILO estimate) Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.EMP.1524.SP.NE.ZS Employment to population ratio, ages 15-24, total (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.RMT.COST.IB.ZS Average transaction cost of sending remittances to a specific country (%) Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country. World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org
SI.POV.DDAY Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.GHED.PC.CD Domestic general government health expenditure per capita (current US$) Public expenditure on health from domestic sources per capita expressed in current US dollars. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP2.ZS Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) Proportion of population pushed below the $3.20 ($2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the fraction of a country's households experiencing impoverishing expenditures, defined as expenditures without which the household would have been above the $3.20 poverty line, but because of the expenditures is below the poverty line. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.WAST.FE.ZS Prevalence of wasting, weight for height, female (% of children under 5) Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.OWGH.MA.ZS Prevalence of overweight, weight for height, male (% of children under 5) Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.DIAB.ZS Diabetes prevalence (% of population ages 20 to 79) Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. International Diabetes Federation, Diabetes Atlas.
SH.PRV.SMOK.FE Prevalence of current tobacco use, females (% of female adults) The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.IMM.HEPB Immunization, HepB3 (% of one-year-old children) Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses. WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
SH.H2O.BASW.ZS People using at least basic drinking water services (% of population) The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DYN.0509 Probability of dying among children ages 5-9 years (per 1,000) Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.ALC.PCAP.MA.LI Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age) Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SE.XPD.TOTL.GD.ZS Government expenditure on education, total (% of GDP) General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.ENRL.TC.ZS Pupil-teacher ratio, tertiary Tertiary school pupil-teacher ratio is the average number of pupils per teacher in tertiary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.TCHR.FE.ZS Secondary education, teachers (% female) Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.NENR.MA School enrollment, secondary, male (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.UP.ZS Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed upper secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.UNER.FE.ZS Children out of school, female (% of female primary school age) Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.PRSL.FE.ZS Persistence to last grade of primary, female (% of cohort) Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.GINT.FE.ZS Gross intake ratio in first grade of primary education, female (% of relevant age group) Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRE.TCAQ.MA.ZS Trained teachers in preprimary education, male (% of male teachers) Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.1524.LT.MA.ZS Literacy rate, youth male (% of males ages 15-24) Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_q1_tot Coverage of social safety net programs in poorest quintile (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
PA.NUS.PPPC.RF Price level ratio of PPP conversion factor (GDP) to market exchange rate Price level ratio is the ratio of a purchasing power parity (PPP) conversion factor to an exchange rate. It provides a measure of the differences in price levels between countries by indicating the number of units of the common currency needed to buy the same volume of the aggregation level in each country. At the level of GDP, they provide a measure of the differences in the general price levels of countries. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GNS.ICTR.CN Gross savings (current LCU) Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.CD GNI (current US$) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.PP.KD GDP, PPP (constant 2017 international $) PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.DEFL.ZS.AD GDP deflator: linked series (base year varies by country) The GDP implicit deflator is calculated as the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The base year varies by country. World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
NY.ADJ.NNAT.GN.ZS Adjusted savings: net national savings (% of GNI) Net national savings are equal to gross national savings less the value of consumption of fixed capital. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.AEDU.GN.ZS Adjusted savings: education expenditure (% of GNI) Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.
NV.IND.TOTL.KN Industry (including construction), value added (constant LCU) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.TOTL.KD.ZG Agriculture, forestry, and fishing, value added (annual % growth) Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.TOTL.ZS Gross capital formation (% of GDP) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FPRV.CN Gross fixed capital formation, private sector (current LCU) Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.KD Final consumption expenditure (constant 2010 US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
VC.IHR.PSRC.P5 Intentional homicides (per 100,000 people) Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded. UN Office on Drugs and Crime's International Homicide Statistics database.
TX.VAL.MRCH.RS.ZS Merchandise exports by the reporting economy, residual (% of total merchandise exports) Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise exports by the economy. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.VAL.FOOD.ZS.UN Food exports (% of merchandise exports) Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.VAL.MRCH.R4.ZS Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) Merchandise imports from low- and middle-income economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Middle East and North Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.WM.FN.ZS Tariff rate, most favored nation, weighted mean, primary products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TM.TAX.MANF.WM.FN.ZS Tariff rate, most favored nation, weighted mean, manufactured products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
ST.INT.RCPT.XP.ZS International tourism, receipts (% of total exports) International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Their share in exports is calculated as a ratio to exports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.
SP.REG.BRTH.FE.ZS Completeness of birth registration, female (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
SP.POP.7579.FE.5Y Population ages 75-79, female (% of female population) Female population between the ages 75 to 79 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.5054.FE.5Y Population ages 50-54, female (% of female population) Female population between the ages 50 to 54 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.MA.IN Population ages 15-64, male Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0004.FE.5Y Population ages 00-04, female (% of female population) Female population between the ages 0 to 4 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.CONM.ZS Contraceptive prevalence, modern methods (% of women ages 15-49) Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
SL.WAG.0714.ZS Children in employment, wage workers (% of children in employment, ages 7-14) Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.UEM.BASC.MA.ZS Unemployment with basic education, male (% of male labor force with basic education) The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.INTM.ZS Labor force with intermediate education (% of total working-age population with intermediate education) The percentage of the working age population with an intermediate level of education who are in the labor force. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ADVN.FE.ZS Labor force with advanced education, female (% of female working-age population with advanced education) The percentage of the working age population with an advanced level of education who are in the labor force. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.FE.TM Average working hours of children, working only, female, ages 7-14 (hours per week) Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SLF.0714.MA.ZS Children in employment, self-employed, male (% of male children in employment, ages 7-14) Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.WORK.MA.ZS Wage and salaried workers, male (% of male employment) (modeled ILO estimate) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.MPYR.MA.ZS Employers, male (% of male employment) (modeled ILO estimate) Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.SPR.PC40.ZG Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations. World Bank, Global Database of Shared Prosperity (GDSP) circa 2011-2016 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
SI.POV.LMIC Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population) Poverty headcount ratio at $3.20 a day is the percentage of the population living on less than $3.20 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.OOPC.PC.CD Out-of-pocket expenditure per capita (current US$) Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.OOPC.25.TO Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.SVR.WAST.FE.ZS Prevalence of severe wasting, weight for height, female (% of children under 5) Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.POIS.P5.FE Mortality rate attributed to unintentional poisoning, female (per 100,000 female population) Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.HYGN.UR.ZS People with basic handwashing facilities including soap and water, urban (% of urban population) The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.SGR.IRSK.ZS Risk of impoverishing expenditure for surgical care (% of people at risk) The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.90 PPP/day). The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)
SH.MED.BEDS.ZS Hospital beds (per 1,000 people) Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included. Data are from the World Health Organization, supplemented by country data.
SH.H2O.SMDW.ZS People using safely managed drinking water services (% of population) The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DYN.2024 Probability of dying among youth ages 20-24 years (per 1,000) Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.ANM.NPRG.ZS Prevalence of anemia among non-pregnant women (% of women ages 15-49) Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
SG.GEN.PARL.ZS Proportion of seats held by women in national parliaments (%) Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women. Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 2020, the data is as of October 1, 2020. For the year of 1998, the data is as of August 10, 1998.
SE.TER.ENRR.MA School enrollment, tertiary, male (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.UNER.LO.ZS Adolescents out of school (% of lower secondary school age) Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.PROG.MA.ZS Progression to secondary school, male (%) Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.ENRL.FE.ZS Secondary education, pupils (% female) Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.UNER.ZS Children out of school (% of primary school age) Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.REPT.FE.ZS Repeaters, primary, female (% of female enrollment) Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.NENR School enrollment, primary (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CMPT.FE.ZS Primary completion rate, female (% of relevant age group) Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.LITR.MA.ZS Literacy rate, adult male (% of males ages 15 and above) Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_q4_tot Coverage of social safety net programs in 4th quintile (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_allsp.ben_q1_tot Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) Benefit incidence of social protection and labor programs (SPL) to poorest quintile shows the percentage of total social protection and labor programs benefits received by the poorest 20% of the population. Social protection and labor programs include social insurance, social safety nets, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.GSR.NFCY.CD Net primary income (Net income from abroad) (current US$) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.KD GNI (constant 2010 US$) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.PCAP.CN GDP per capita (current LCU) GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.FCST.CD Gross value added at basic prices (GVA) (current US$) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.KD.ZG Adjusted net national income (annual % growth) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DFOR.CD Adjusted savings: net forest depletion (current US$) Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.MNF.FBTO.ZS.UN Food, beverages and tobacco (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
NV.FSM.TOTL.CN Financial intermediary services indirectly Measured (FISIM) (current LCU) Financial intermediation services indirectly measured (FISIM) is an indirect measure of the value of financial intermediation services (i.e. output) provided but for which financial institutions do not charge explicitly as compared to explicit bank charges. Although the 1993 SNA recommends that the FISIM are allocated as intermediate and final consumption to the users, many countries still make a global (negative) adjustment to the sum of gross value added. World Bank national accounts data, and OECD National Accounts data files.
NE.IMP.GNFS.KD Imports of goods and services (constant 2010 US$) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.CN Gross fixed capital formation (current LCU) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.ZS Final consumption expenditure (% of GDP) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources. World Bank national accounts data, and OECD National Accounts data files.
TX.VAL.MRCH.WL.CD Merchandise exports by the reporting economy (current US$) Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.VAL.FUEL.ZS.UN Fuel exports (% of merchandise exports) Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.VAL.MRCH.R5.ZS Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.UVI.MRCH.XD.WD Import unit value index (2000 = 100) Import unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates. United Nations Conference on Trade and Development, Handbook of Statistics and data files. (http://unctadstat.unctad.org)
TM.TAX.MRCH.BC.ZS Binding coverage, all products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
ST.INT.TRNR.CD International tourism, receipts for passenger transport items (current US$) International tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.REG.BRTH.MA.ZS Completeness of birth registration, male (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
SP.POP.7579.MA.5Y Population ages 75-79, male (% of male population) Male population between the ages 75 to 79 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.5054.MA.5Y Population ages 50-54, male (% of male population) Male population between the ages 50 to 54 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.MA.ZS Population ages 15-64, male (% of male population) Male population between the ages 15 to 64 as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0004.MA.5Y Population ages 00-04, male (% of male population) Male population between the ages 0 to 4 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.CONU.ZS Contraceptive prevalence, any methods (% of women ages 15-49) Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union. UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.
SM.POP.NETM Net migration Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates. United Nations Population Division. World Population Prospects: 2019 Revision.
SL.UEM.BASC.ZS Unemployment with basic education (% of total labor force with basic education) The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.PART.FE.ZS Part time employment, female (% of total female employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ADVN.MA.ZS Labor force with advanced education, male (% of male working-age population with advanced education) The percentage of the working age population with an advanced level of education who are in the labor force. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.FE.ZS Children in employment, work only, female (% of female children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SLF.0714.ZS Children in employment, self-employed (% of children in employment, ages 7-14) Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.WORK.ZS Wage and salaried workers, total (% of total employment) (modeled ILO estimate) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.MPYR.ZS Employers, total (% of total employment) (modeled ILO estimate) Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.SPR.PCAP Survey mean consumption or income per capita, total population (2011 PPP $ per day) Mean consumption or income per capita (2011 PPP $ per day) used in calculating the growth rate in the welfare aggregate of total population. World Bank, Global Database of Shared Prosperity (GDSP) circa 2011-2016 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
SI.POV.LMIC.GP Poverty gap at $3.20 a day (2011 PPP) (%) Poverty gap at $3.20 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.20 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.OOPC.PP.CD Out-of-pocket expenditure per capita, PPP (current international $) Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP time series based on ICP2011 PPP). World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.OOPC.25.ZS Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%) Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.SVR.WAST.MA.ZS Prevalence of severe wasting, weight for height, male (% of children under 5) Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.POIS.P5.MA Mortality rate attributed to unintentional poisoning, male (per 100,000 male population) Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.HYGN.ZS People with basic handwashing facilities including soap and water (% of population) The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.SGR.PROC.P5 Number of surgical procedures (per 100,000 population) The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain. The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).
SH.MED.CMHW.P3 Community health workers (per 1,000 people) Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers. World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
SH.HIV.0014 Children (0-14) living with HIV Children living with HIV refers to the number of children ages 0-14 who are infected with HIV. UNAIDS estimates.
SH.DYN.AIDS.FE.ZS Women's share of population ages 15+ living with HIV (%) Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV. UNAIDS estimates.
SH.CON.1524.FE.ZS Condom use, population ages 15-24, female (% of females ages 15-24) Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months. Demographic and Health Surveys, and UNAIDS.
SG.LAW.INDX Women Business and the Law Index Score (scale 1-100) The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each of the eight areas (Going Places, Starting a Job, Getting Paid, Getting Married, Having Children, Running a Business, Managing Assets and Getting a Pension), with 100 representing the highest possible score. World Bank: Women, Business and the Law. https://wbl.worldbank.org/
SE.TER.TCHR.FE.ZS Tertiary education, academic staff (% female) Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.BA.FE.ZS Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.PROG.ZS Progression to secondary school (%) Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.ENRL.GC Secondary education, general pupils Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.AGES Lower secondary school starting age (years) Lower secondary school starting age is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.REPT.MA.ZS Repeaters, primary, male (% of male enrollment) Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.NENR.FE School enrollment, primary, female (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CMPT.MA.ZS Primary completion rate, male (% of relevant age group) Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.LITR.ZS Literacy rate, adult total (% of people ages 15 and above) Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_q5_tot Coverage of social safety net programs in richest quintile (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_allsp.cov_pop_tot Coverage of social protection and labor programs (% of population) Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.GSR.NFCY.CN Net primary income (Net income from abroad) (current LCU) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.KD.ZG GNI growth (annual %) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.PCAP.KD GDP per capita (constant 2010 US$) GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.FCST.CN Gross value added at basic prices (GVA) (current LCU) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.PC.CD Adjusted net national income per capita (current US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DFOR.GN.ZS Adjusted savings: net forest depletion (% of GNI) Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.MNF.MTRN.ZS.UN Machinery and transport equipment (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
NV.FSM.TOTL.KN Financial intermediary services indirectly Measured (FISIM) (constant LCU) Financial intermediation services indirectly measured (FISIM) is an indirect measure of the value of financial intermediation services (i.e. output) provided but for which financial institutions do not charge explicitly as compared to explicit bank charges. Although the 1993 SNA recommends that the FISIM are allocated as intermediate and final consumption to the users, many countries still make a global (negative) adjustment to the sum of gross value added. World Bank national accounts data, and OECD National Accounts data files.
NE.IMP.GNFS.KD.ZG Imports of goods and services (annual % growth) Annual growth rate of imports of goods and services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.KD Gross fixed capital formation (constant 2010 US$) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.DEFL.ZS Gross national expenditure deflator (base year varies by country) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.CN Households and NPISHs Final consumption expenditure (current LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
LP.LPI.TRAC.XQ Logistics performance index: Ability to track and trace consignments (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the ability to track and trace consignments when shipping to the market, on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IT.CEL.SETS.P2 Mobile cellular subscriptions (per 100 people) Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.CPA.STRC.XQ CPIA structural policies cluster average (1=low to 6=high) The structural policies cluster includes trade, financial sector, and business regulatory environment. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IQ.CPA.ECON.XQ CPIA economic management cluster average (1=low to 6=high) The economic management cluster includes macroeconomic management, fiscal policy, and debt policy. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPN.ENGY.CD Public private partnerships investment in energy (current US$) Public Private Partnerships in energy (current US$) refers to commitments to infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
TX.VAL.SERV.CD.WT Commercial service exports (current US$) Commercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TX.VAL.MMTL.ZS.UN Ores and metals exports (% of merchandise exports) Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.VAL.MRCH.WR.ZS Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.ICTG.ZS.UN ICT goods imports (% total goods imports) Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
TM.TAX.MRCH.SM.FN.ZS Tariff rate, most favored nation, simple mean, all products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
ST.INT.XPND.CD International tourism, expenditures (current US$) International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.REG.DTHS.ZS Completeness of death registration with cause-of-death information (%) Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
SP.POP.DPND Age dependency ratio (% of working-age population) Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.6064.MA.5Y Population ages 60-64, male (% of male population) Male population between the ages 60 to 64 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.2024.MA.5Y Population ages 20-24, male (% of male population) Male population between the ages 20 to 24 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.MA.ZS Population ages 0-14, male (% of male population) Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.LE00.FE.IN Life expectancy at birth, female (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SM.POP.TOTL.ZS International migrant stock (% of population) International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data. United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.
SL.UEM.NEET.FE.ZS Share of youth not in education, employment or training, female (% of female youth population) Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.TOTL.IN Labor force, total Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.TLF.BASC.ZS Labor force with basic education (% of total working-age population with basic education) The percentage of the working age population with a basic level of education who are in the labor force. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.ZS Children in employment, work only (% of children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SRV.EMPL.FE.ZS Employment in services, female (% of female employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.FAM.WORK.FE.ZS Contributing family workers, female (% of female employment) (modeled ILO estimate) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.SMGT.FE.ZS Female share of employment in senior and middle management (%) The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.0714.ZS Child employment in agriculture (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SI.POV.MDIM.FE Multidimensional poverty headcount ratio, female (% of female population) The percentage of female population who are multidimensionally poor Government statistical agencies. Data for EU countires are from the EUROSTAT
SI.DST.02ND.20 Income share held by second 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.CHEX.PC.CD Current health expenditure per capita (current US$) Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.TBS.INCD Incidence of tuberculosis (per 100,000 people) Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously. World Health Organization, Global Tuberculosis Report.
SH.STA.STNT.FE.ZS Prevalence of stunting, height for age, female (% of children under 5) Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.MMRT Maternal mortality ratio (modeled estimate, per 100,000 live births) Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs). WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
SH.STA.ANVC.ZS Pregnant women receiving prenatal care (%) Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.MLR.INCD.P3 Incidence of malaria (per 1,000 population at risk) Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).
SH.HIV.INCD Adults (ages 15-49) newly infected with HIV Number of adults (ages 15-49) newly infected with HIV. UNAIDS estimates.
SH.DYN.MORT.MA Mortality rate, under-5, male (per 1,000 live births) Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.DTH.1519 Number of deaths ages 15-19 years Number of deaths of adolescents ages 15-19 years Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.VAW.ARGU.ZS Women who believe a husband is justified in beating his wife when she argues with him (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
SE.XPD.CTOT.ZS Current education expenditure, total (% of total expenditure in public institutions) Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.DO.MA.ZS Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed Doctoral or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.LO.ZS Trained teachers in lower secondary education (% of total teachers) Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.UP.TC.ZS Pupil-teacher ratio, upper secondary Upper secondary school pupil-teacher ratio is the average number of pupils per teacher in upper secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.LO.FE.ZS Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TCAQ.ZS Trained teachers in primary education (% of total teachers) Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.NINT.ZS Net intake rate in grade 1 (% of official school-age population) Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CUAT.ZS Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ENR.SECO.FM.ZS School enrollment, secondary (gross), gender parity index (GPI) Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.cov_q1_tot Coverage of social insurance programs in poorest quintile (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_q1_tot Coverage of unemployment benefits and ALMP in poorest quintile (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TAX.NIND.KN Taxes less subsidies on products (constant LCU) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.PCAP.CD GNI per capita, Atlas method (current US$) GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.PCAP.PP.KD GDP per capita, PPP (constant 2017 international $) GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.MINR.RT.ZS Mineral rents (% of GDP) Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.ADJ.SVNG.GN.ZS Adjusted net savings, including particulate emission damage (% of GNI) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DMIN.GN.ZS Adjusted savings: mineral depletion (% of GNI) Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.SRV.EMPL.KD Services, value added per worker (constant 2010 US$) Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Services corresponds to the International Standard Industrial Classification (ISIC) tabulation categories G-P (revision 3) or tabulation categories G-U (revision 4), and includes wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social and personal services. Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
NV.IND.MANF.KD Manufacturing, value added (constant 2010 US$) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are expressed constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.RSB.GNFS.CN External balance on goods and services (current LCU) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.STKB.CD Changes in inventories (current US$) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.TOTL.KN Gross national expenditure (constant LCU) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.KN Households and NPISHs Final consumption expenditure (constant LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
VC.IHR.PSRC.MA.P5 Intentional homicides, male (per 100,000 male) Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded. UN Office on Drugs and Crime's International Homicide Statistics database.
TX.VAL.MRCH.R6.ZS Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.VAL.AGRI.ZS.UN Agricultural raw materials exports (% of merchandise exports) Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.VAL.MRCH.R3.ZS Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.WM.AR.ZS Tariff rate, applied, weighted mean, primary products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TM.TAX.MANF.WM.AR.ZS Tariff rate, applied, weighted mean, manufactured products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
ST.INT.RCPT.CD International tourism, receipts (current US$) International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.POP.TOTL.MA.ZS Population, male (% of total population) Male population is the percentage of the population that is male. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.7074.MA.5Y Population ages 70-74, male (% of male population) Male population between the ages 70 to 74 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.4549.MA.5Y Population ages 45-49, male (% of male population) Male population between the ages 45 to 49 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.FE.ZS Population ages 15-64, female (% of female population) Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.MTR.1519.ZS Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant. Demographic and Health Surveys.
SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SL.WAG.0714.MA.ZS Children in employment, wage workers, male (% of male children in employment, ages 7-14) Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.UEM.BASC.FE.ZS Unemployment with basic education, female (% of female labor force with basic education) The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.INTM.MA.ZS Labor force with intermediate education, male (% of male working-age population with intermediate education) The percentage of the working age population with an intermediate level of education who are in the labor force. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.ZS Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.ZS Children in employment, study and work (% of children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SLF.0714.FE.ZS Children in employment, self-employed, female (% of female children in employment, ages 7-14) Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.WORK.FE.ZS Wage and salaried workers, female (% of female employment) (modeled ILO estimate) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.MPYR.FE.ZS Employers, female (% of female employment) (modeled ILO estimate) Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.SPR.PC40 Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day) Mean consumption or income per capita (2011 PPP $ per day) used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country. World Bank, Global Database of Shared Prosperity (GDSP) circa 2011-2016 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
SI.POV.GINI Gini index (World Bank estimate) Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.OOPC.CH.ZS Out-of-pocket expenditure (% of current health expenditure) Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.OOPC.10.ZS Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%) Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.WAST.ZS Prevalence of wasting, weight for height (% of children under 5) Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.POIS.P5 Mortality rate attributed to unintentional poisoning (per 100,000 population) Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.HYGN.RU.ZS People with basic handwashing facilities including soap and water, rural (% of rural population) The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.SGR.CRSK.ZS Risk of catastrophic expenditure for surgical care (% of people at risk) The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income. The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)
SH.IMM.MEAS Immunization, measles (% of children ages 12-23 months) Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine. WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
SH.H2O.SMDW.UR.ZS People using safely managed drinking water services, urban (% of urban population) The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DYN.1519 Probability of dying among adolescents ages 15-19 years (per 1,000) Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.ANM.CHLD.ZS Prevalence of anemia among children (% of children under 5) Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
SG.DMK.SRCR.FN.ZS Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49) Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”. Demographic and Health Surveys compiled by United Nations Population Fund
SE.TER.ENRR.FE School enrollment, tertiary, female (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.UNER.LO.MA.ZS Adolescents out of school, male (% of male lower secondary school age) Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.PROG.FE.ZS Progression to secondary school, female (%) Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.ENRL Secondary education, pupils Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.UNER.MA.ZS Children out of school, male (% of male primary school age) Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.PRSL.ZS Persistence to last grade of primary, total (% of cohort) Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.GINT.ZS Gross intake ratio in first grade of primary education, total (% of relevant age group) Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.AGES Primary school starting age (years) Primary school starting age is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.LITR.FE.ZS Literacy rate, adult female (% of females ages 15 and above) Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_q3_tot Coverage of social safety net programs in 3rd quintile (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_allsp.adq_pop_tot Adequacy of social protection and labor programs (% of total welfare of beneficiary households) Adequacy of social protection and labor programs (SPL) is measured by the total transfer amount received by the population participating in social insurance, social safety net, and unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.GNS.ICTR.ZS Gross savings (% of GDP) Gross savings are calculated as gross national income less total consumption, plus net transfers. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.CN.AD GNI: linked series (current LCU) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices. World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
NY.GDP.PCAP.CD GDP per capita (current US$) GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.DISC.KN Discrepancy in expenditure estimate of GDP (constant LCU) A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure categories). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.KD Adjusted net national income (constant 2010 US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DCO2.GN.ZS Adjusted savings: carbon dioxide damage (% of GNI) Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).
NV.MNF.CHEM.ZS.UN Chemicals (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
NV.AGR.TOTL.ZS Agriculture, forestry, and fishing, value added (% of GDP) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator. World Bank national accounts data, and OECD National Accounts data files.
NE.IMP.GNFS.CN Imports of goods and services (current LCU) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.CD Gross fixed capital formation (current US$) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.KN Final consumption expenditure (constant LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.GOVT.ZS General government final consumption expenditure (% of GDP) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. World Bank national accounts data, and OECD National Accounts data files.
VC.BTL.DETH Battle-related deaths (number of people) Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring parties. This includes traditional battlefield fighting, guerrilla activities, and all kinds of bombardments of military units, cities, and villages, etc. The targets are usually the military itself and its installations or state institutions and state representatives, but there is often substantial collateral damage in the form of civilians being killed in crossfire, in indiscriminate bombings, etc. All deaths--military as well as civilian--incurred in such situations, are counted as battle-related deaths. Uppsala Conflict Data Program, http://www.pcr.uu.se/research/ucdp/.
TX.VAL.MRCH.R1.ZS Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) Merchandise exports to low- and middle-income economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.TRVL.ZS.WT Travel services (% of commercial service imports) Travel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging, meals, and transport (within the economy visited). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.VAL.MRCH.CD.WT Merchandise imports (current US$) Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars. World Trade Organization.
TM.TAX.TCOM.BR.ZS Bound rate, simple mean, primary products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
TM.TAX.MANF.BR.ZS Bound rate, simple mean, manufactured products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
SP.URB.TOTL Urban population Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages. World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
SP.POP.TECH.RD.P6 Technicians in R&D (per million people) The number of technicians participated in Research & Development (R&D), expressed as per million. Technicians and equivalent staff are people who perform scientific and technical tasks involving the application of concepts and operational methods, normally under the supervision of researchers. R&D covers basic research, applied research, and experimental development. UNESCO Institute for Statistics (http://uis.unesco.org/)
SP.POP.65UP.MA.IN Population ages 65 and above, male Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.3539.FE.5Y Population ages 35-39, female (% of female population) Female population between the ages 35 to 39 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1014.FE.5Y Population ages 10-14, female (% of female population) Female population between the ages 10 to 14 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.TO65.MA.ZS Survival to age 65, male (% of cohort) Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year. United Nations Population Division. World Population Prospects: 2019 Revision.
SN.ITK.VITA.ZS Vitamin A supplementation coverage rate (% of children ages 6-59 months) Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least two doses of vitamin A in the previous year. United Nations Children's Fund, State of the World's Children.
SL.UEM.TOTL.MA.NE.ZS Unemployment, male (% of male labor force) (national estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.NE.ZS Unemployment, youth total (% of total labor force ages 15-24) (national estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.MA.NE.ZS Labor force participation rate, male (% of male population ages 15+) (national estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.MA.ZS Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.FE.TM Average working hours of children, study and work, female, ages 7-14 (hours per week) Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.IND.EMPL.MA.ZS Employment in industry, male (% of male employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.NE.ZS Employment to population ratio, 15+, total (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.1524.SP.FE.ZS Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.NAHC Poverty headcount ratio at national poverty lines (% of population) National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year. World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.
SI.DST.50MD Proportion of people living below 50 percent of median income (%) The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2011 Purchasing Power Parity (PPP) using PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from EU-SILC or the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.GHED.CH.ZS Domestic general government health expenditure (% of current health expenditure) Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP2.CG Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.SUIC.P5 Suicide mortality rate (per 100,000 population) Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.ORCF.ZS Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.STA.BFED.ZS Exclusive breastfeeding (% of children under 6 months) Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.MMR.RISK.ZS Lifetime risk of maternal death (%) Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death. WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
SH.HIV.INCD.YG.P3 Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period. UNAIDS estimates.
SH.FPL.SATM.ZS Demand for family planning satisfied by modern methods (% of married women with demand for family planning) Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods. Demographic and Health Surveys (DHS).
SH.DTH.MORT Number of under-five deaths Number of children dying before reaching age five. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.VAW.REFU.ZS Women who believe a husband is justified in beating his wife when she refuses sex with him (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
SE.XPD.TERT.PC.ZS Government expenditure per student, tertiary (% of GDP per capita) Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.ST.FE.ZS Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed short-cycle tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.ZS Trained teachers in secondary education (% of total teachers) Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRR.MA School enrollment, secondary, male (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.CUAT.PO.ZS Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TENR.MA Adjusted net enrollment rate, primary, male (% of primary school age children) Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.PRS5.FE.ZS Persistence to grade 5, female (% of cohort) Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.ENRR School enrollment, primary (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRE.ENRR.FE School enrollment, preprimary, female (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
PX.REX.REER Real effective exchange rate index (2010 = 100) Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs. International Monetary Fund, International Financial Statistics.
per_sa_allsa.adq_pop_tot Adequacy of social safety net programs (% of total welfare of beneficiary households) Adequacy of social safety net programs is measured by the total transfer amount received by the population participating in social safety net programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
PA.NUS.ATLS DEC alternative conversion factor (LCU per US$) The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where further refinements are made by World Bank staff. It is expressed in local currency units per U.S. dollar. International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.
NY.GNP.PCAP.PP.CD GNI per capita, PPP (current international $) This indicator provides per capita values for gross national income (GNI. Formerly GNP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDS.TOTL.ZS Gross domestic savings (% of GDP) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.KD.ZG GDP growth (annual %) Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.DEFL.KD.ZG Inflation, GDP deflator (annual %) Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.DRES.GN.ZS Adjusted savings: natural resources depletion (% of GNI) Natural resource depletion is the sum of net forest depletion, energy depletion, and mineral depletion. Net forest depletion is unit resource rents times the excess of roundwood harvest over natural growth. Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.SRV.TOTL.KN Services, value added (constant LCU) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.TOTL.CN Industry (including construction), value added (current LCU) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.TOTL.CD Agriculture, forestry, and fishing, value added (current US$) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.TOTL.KD Gross capital formation (constant 2010 US$) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.KD.ZG Exports of goods and services (annual % growth) Annual growth rate of exports of goods and services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.ZS Households and NPISHs final consumption expenditure (% of GDP) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This item also includes any statistical discrepancy in the use of resources relative to the supply of resources. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.GOVT.CD General government final consumption expenditure (current US$) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
TX.VAL.MRCH.XD.WD Export value index (2000 = 100) Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the export value indexes are derived from export volume indexes (line 72) and corresponding unit value indexes of exports (line 74) in the IMF's International Financial Statistics. United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
TX.VAL.INSF.ZS.WT Insurance and financial services (% of commercial service exports) Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.VAL.MRCH.RS.ZS Merchandise imports by the reporting economy, residual (% of total merchandise imports) Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise imports by the economy. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.FOOD.ZS.UN Food imports (% of merchandise imports) Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.TAX.MRCH.IP.ZS Share of tariff lines with international peaks, all products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
ST.INT.TVLR.CD International tourism, receipts for travel items (current US$) International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.REG.BRTH.UR.ZS Completeness of birth registration, urban (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
SP.POP.80UP.MA.5Y Population ages 80 and above, male (% of male population) Male population between the ages 80 and above as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.5559.MA.5Y Population ages 55-59, male (% of male population) Male population between the ages 55 to 59 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.TO.ZS Population ages 15-64 (% of total population) Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.FE.ZS Population ages 0-14, female (% of female population) Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.IMRT.IN Mortality rate, infant (per 1,000 live births) Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SM.POP.REFG.OR Refugee population by country or territory of origin Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant. United Nations High Commissioner for Refugees (UNHCR), Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.
SL.UEM.INTM.MA.ZS Unemployment with intermediate education, male (% of male labor force with intermediate education) The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.PART.ZS Part time employment, total (% of total employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.BASC.FE.ZS Labor force with basic education, female (% of female working-age population with basic education) The percentage of the working age population with a basic level of education who are in the labor force. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.MA.ZS Children in employment, work only, male (% of male children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SRV.0714.MA.ZS Child employment in services, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.FAM.0714.MA.ZS Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.SELF.MA.ZS Self-employed, male (% of male employment) (modeled ILO estimate) Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.0714.FE.ZS Child employment in agriculture, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SI.POV.MDIM.17 Multidimensional poverty headcount ratio, children (% of population ages 0-17) The percentage of children who are multidimensionally poor Government statistical agencies. Data for EU countires are from the EUROSTAT
SH.XPD.PVTD.PC.CD Domestic private health expenditure per capita (current US$) Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.VAC.TTNS.ZS Newborns protected against tetanus (%) Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus. WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
SH.TBS.CURE.ZS Tuberculosis treatment success rate (% of new cases) Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ("cured" and "treatment completed" respectively). World Health Organization, Global Tuberculosis Report.
SH.STA.SMSS.UR.ZS People using safely managed sanitation services, urban (% of urban population) The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.STA.MALN.MA.ZS Prevalence of underweight, weight for age, male (% of children under 5) Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.AIRP.MA.P5 Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population) Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.MED.PHYS.ZS Physicians (per 1,000 people) Physicians include generalist and specialist medical practitioners. World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
SH.HIV.1524.MA.ZS Prevalence of HIV, male (% ages 15-24) Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group. UNAIDS estimates.
SH.DYN.MORT Mortality rate, under-5 (per 1,000 live births) Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.DTH.0509 Number of deaths ages 5-9 years Number of deaths of children ages 5-9 years Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.TIM.UWRK.MA Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day) The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others. National statistical offices or national database and publications compiled by United Nations Statistics Division
SE.XPD.CSEC.ZS Current education expenditure, secondary (% of total expenditure in secondary public institutions) Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.BA.ZS Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.LO.FE.ZS Trained teachers in lower secondary education, female (% of female teachers) Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.LO.TC.ZS Pupil-teacher ratio, lower secondary Lower secondary school pupil-teacher ratio is the average number of pupils per teacher in lower secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CMPT.LO.MA.ZS Lower secondary completion rate, male (% of relevant age group) Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TCAQ.FE.ZS Trained teachers in primary education, female (% of female teachers) Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.NINT.FE.ZS Net intake rate in grade 1, female (% of official school-age population) Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CUAT.FE.ZS Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ENR.PRIM.FM.ZS School enrollment, primary (gross), gender parity index (GPI) Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.ben_q1_tot Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) Benefit incidence of social insurance programs to poorest quintile shows the percentage of total social insurance benefits received by the poorest 20% of the population. Social insurance programs include old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.ben_q1_tot Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) Benefit incidence of unemployment benefits and active labor market programs (ALMP) to poorest quintile shows the percentage of total unemployment and active labor market programs benefits received by the poorest 20% of the population. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TAX.NIND.CD Taxes less subsidies on products (current US$) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.PP.CD GNI, PPP (current international $) This indicator provides values for gross national income (GNI. Formerly GNP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “GNI: linked series (current LCU)” [NY.GNP.MKTP.CN.AD] is used as underlying GNI in local currency unit so that it’s in line with time series of PPP conversion factors, which are extrapolated with linked deflators. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.PCAP.KN GDP per capita (constant LCU) GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.FCST.KN Gross value added at basic prices (GVA) (constant LCU) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.PC.KD.ZG Adjusted net national income per capita (annual % growth) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DKAP.GN.ZS Adjusted savings: consumption of fixed capital (% of GNI) Consumption of fixed capital represents the replacement value of capital used up in the process of production. World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.
NV.MNF.TECH.ZS.UN Medium and high-tech Industry (including construction) (% manufacturing value added) The proportion of medium and high-tech industry value added in total value added of manufacturing United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database
NV.IND.MANF.CD Manufacturing, value added (current US$) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.IMP.GNFS.ZS Imports of goods and services (% of GDP) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.KN Gross fixed capital formation (constant LCU) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.TOTL.CN Gross national expenditure (current LCU) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.KD Households and NPISHs Final consumption expenditure (constant 2010 US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
MS.MIL.TOTL.P1 Armed forces personnel, total Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. International Institute for Strategic Studies, The Military Balance.
IT.MLT.MAIN.P2 Fixed telephone subscriptions (per 100 people) Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.CPA.TRAN.XQ CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the extent to which public employees within the executive are required to account for administrative decisions, use of resources, and results obtained. The three main dimensions assessed here are the accountability of the executive to oversight institutions and of public employees for their performance, access of civil society to information on public affairs, and state capture by narrow vested interests. World Bank Group, CPIA database (http://www.worldbank.org/ida).
NE.CON.GOVT.KD.ZG General government final consumption expenditure (annual % growth) Annual percentage growth of general government final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. General government final consumption expenditure (general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. World Bank national accounts data, and OECD National Accounts data files.
LP.LPI.ITRN.XQ Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IS.RRS.TOTL.KM Rail lines (total route-km) Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks. Internation Union of Railways (UIC)
IQ.CPA.PROT.XQ CPIA social protection rating (1=low to 6=high) Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.TMK.RSCT Trademark applications, resident, by count Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IE.PPI.ENGY.CD Investment in energy with private participation (current US$) Investment in energy projects with private participation refers to commitments to infrastructure projects in energy (electricity and natural gas: generation, transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.REG.DURS Time required to start a business (days) Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.RSDV.ZS Firms that spend on R&D (% of firms) Percent of firms that spend on research and development. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.EXP.CSDC.CD Cost to export, documentary compliance (US$) Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study. World Bank, Doing Business project (http://www.doingbusiness.org/).
HD.HCI.OVRL.UB.FE Human Capital Index (HCI), Female, Upper Bound (scale 0-1) The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.INTP.RV.ZS Interest payments (% of revenue) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.IMPT.CN Customs and other import duties (current LCU) Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or services. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.LBL.TOTL.GD.ZS Net incurrence of liabilities, total (% of GDP) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FS.AST.PRVT.GD.ZS Domestic credit to private sector (% of GDP) Domestic credit to private sector refers to financial resources provided to the private sector by financial corporations, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. The financial corporations include monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FM.AST.PRVT.ZG.M3 Claims on private sector (annual growth as % of broad money) Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere. International Monetary Fund, International Financial Statistics and data files.
FB.ATM.TOTL.P5 Automated teller machines (ATMs) (per 100,000 adults) Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. International Monetary Fund, Financial Access Survey.
ER.FSH.AQUA.MT Aquaculture production (metric tons) Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption. Food and Agriculture Organization.
EN.CO2.OTHX.ZS CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that are included in the IPCC Source/Sink Categories 1 A 4 and 1 A 5. In the 1996 IPCC Guidelines, the category also includes emissions from autoproducers in the commercial/residential/agricultural sectors that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EN.ATM.NOXE.KT.CE Nitrous oxide emissions (thousand metric tons of CO2 equivalent) Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.SF.ZS CO2 emissions from solid fuel consumption (% of total) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.USE.COMM.FO.ZS Fossil fuel energy consumption (% of total) Fossil fuel comprises coal, oil, petroleum, and natural gas products. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.ACCS.ZS Access to electricity (% of population) Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources. World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
DT.ODA.ODAT.PC.ZS Net ODA received per capita (current US$) Net official development assistance (ODA) per capita consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients; and is calculated by dividing net ODA received by the midyear population estimate. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank population estimates are used for the denominator.
DT.NFL.UNFP.CD Net official flows from UN agencies, UNFPA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.OFFT.CD PPG, official creditors (NFL, current US$) Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.PVLX.EX.ZS Present value of external debt (% of exports of goods, services and primary income) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The exports denominator is a three-year average. World Bank, International Debt Statistics.
DC.ODA.TOTL.GN.ZS Net ODA provided, total (% of GNI) Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. It is shown as a share of donors' GNI. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
DC.DAC.JPNL.CD Net bilateral aid flows from DAC donors, Japan (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.BELL.CD Net bilateral aid flows from DAC donors, Belgium (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.KLT.DINV.CD.WD Foreign direct investment, net inflows (BoP, current US$) Foreign direct investment refers to direct investment equity flows in the reporting economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
BN.TRF.CURR.CD Net secondary income (BoP, current US$) Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.TRAN.ZS Transport services (% of service imports, BoP) Transport covers all transport services (sea, air, land, internal waterway, pipeline, space and electricity transmission) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Also included are postal and courier services. Excluded are freight insurance (included in insurance services); goods procured in ports by nonresident carriers (included in goods); maintenance and repairs on transport equipment (included in maintenance and repair services n.i.e.); and repairs of railway facilities, harbors, and airfield facilities (included in construction). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.TRAC.ZS Agricultural machinery, tractors per 100 sq. km of arable land Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Food and Agriculture Organization, electronic files and web site.
AG.LND.ARBL.HA.PC Arable land (hectares per person) Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Food and Agriculture Organization, electronic files and web site.
NE.CON.PRVT.CD Households and NPISHs Final consumption expenditure (current US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
LP.LPI.TIME.XQ Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed how often the shipments to assessed markets reach the consignee within the scheduled or expected delivery time, on a rating ranging from 1 (hardly ever) to 5 (nearly always). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IT.CEL.SETS Mobile cellular subscriptions Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.CPA.SOCI.XQ CPIA policies for social inclusion/equity cluster average (1=low to 6=high) The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IQ.CPA.DEBT.XQ CPIA debt policy rating (1=low to 6=high) Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPI.WATR.CD Investment in water and sanitation with private participation (current US$) Investment in water and sanitation projects with private participation refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.REG.PROC Start-up procedures to register a business (number) Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.GOV.DURS.ZS Time spent dealing with the requirements of government regulations (% of senior management time) Time spent dealing with the requirements of government regulations is the proportion of senior management's time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g., taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.FRM.BKWC.ZS Firms using banks to finance working capital (% of firms) Firms using banks to finance working capital are the percentage of firms using bank loans to finance working capital. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.BUS.DISC.XQ Business extent of disclosure index (0=less disclosure to 10=more disclosure) Disclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure. World Bank, Doing Business project (http://www.doingbusiness.org/).
GC.XPN.OTHR.ZS Other expense (% of expense) Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.INTT.RV.ZS Taxes on international trade (% of revenue) Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.NLD.TOTL.CN Net lending (+) / net borrowing (-) (current LCU) Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.FE.ZS Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (female, % age 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FM.LBL.BMNY.IR.ZS Broad money to total reserves ratio Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper. International Monetary Fund, International Financial Statistics and data files.
FB.CBK.BRWR.P3 Borrowers from commercial banks (per 1,000 adults) Borrowers from commercial banks are the reported number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks and other banks functioning as commercial banks. For many countries data cover the total number of loan accounts due to lack of information on loan account holders. International Monetary Fund, Financial Access Survey.
ER.GDP.FWTL.M3.KD Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal) Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal. Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates.
EN.HPT.THRD.NO Plant species (higher), threatened Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
EN.ATM.PM25.MC.M3 PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas. Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
EN.ATM.GHGT.KT.CE Total greenhouse gas emissions (kt of CO2 equivalent) Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR), EDGARv4.2 FT2012: http://edgar.jrc.ec.europa.eu/
EG.USE.ELEC.KH.PC Electric power consumption (kWh per capita) Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.HYRO.ZS Electricity production from hydroelectric sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DECT.EX.ZS Total debt service (% of exports of goods, services and primary income) Total debt service to exports of goods, services and primary income. Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. World Bank, International Debt Statistics.
DT.NFL.UNTA.CD Net official flows from UN agencies, UNTA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PCBO.CD Commercial banks and other lending (PPG + PNG) (NFL, current US$) Commercial bank and other lending includes net commercial bank lending (public and publicly guaranteed and private nonguaranteed) and other private credits. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.BOND.CD Portfolio investment, bonds (PPG + PNG) (NFL, current US$) Bonds are securities issued with a fixed rate of interest for a period of more than one year. They include net flows through cross-border public and publicly guaranteed and private nonguaranteed bond issues. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DECT.GN.ZS External debt stocks (% of GNI) Total external debt stocks to gross national income. Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank, International Debt Statistics.
DC.DAC.NLDL.CD Net bilateral aid flows from DAC donors, Netherlands (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.CHEL.CD Net bilateral aid flows from DAC donors, Switzerland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.TRF.CURR.CD Secondary income receipts (BoP, current US$) Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BX.GRT.TECH.CD.WD Technical cooperation grants (BoP, current US$) Technical cooperation grants include free-standing technical cooperation grants, which are intended to finance the transfer of technical and managerial skills or of technology for the purpose of building up general national capacity without reference to any specific investment projects; and investment-related technical cooperation grants, which are provided to strengthen the capacity to execute specific investment projects. Data are in current U.S. dollars. World Bank, International Debt Statistics, and OECD.
BM.KLT.DINV.WD.GD.ZS Foreign direct investment, net outflows (% of GDP) Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world, and is divided by GDP. International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
AG.PRD.FOOD.XD Food production index (2004-2006 = 100) Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value. Food and Agriculture Organization, electronic files and web site.
AG.LND.CROP.ZS Permanent cropland (% of land area) Permanent cropland is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Food and Agriculture Organization, electronic files and web site.
MS.MIL.XPND.CD Military expenditure (current USD) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another). Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
IT.NET.BBND.P2 Fixed broadband subscriptions (per 100 people) Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.SCI.OVRL Statistical Capacity score (Overall average) The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100. World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
IQ.CPA.FISP.XQ CPIA fiscal policy rating (1=low to 6=high) Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.IDS.NRCT Industrial design applications, nonresident, by count Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.TAX.LABR.CP.ZS Labor tax and contributions (% of commercial profits) Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.ISV.DURS Time to resolve insolvency (years) Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.CRIM.ZS Losses due to theft and vandalism (% of annual sales of affected firms) Average losses as a result of theft, robbery, vandalism or arson that occurred on the establishment’s premises calculated as a percentage of annual sales. The value represents the average losses for all firms which reported losses (please see indicator IC.FRM.THEV.ZS). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.CRD.PRVT.ZS Private credit bureau coverage (% of adults) Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population. World Bank, Doing Business project (http://www.doingbusiness.org/).
GF.XPD.BUDG.ZS Primary government expenditures as a proportion of original approved budget (%) Primary government expenditures as a proportion of original approved budget measures the extent to which aggregate budget expenditure outturn reflects the amount originally approved, as defined in government budget documentation and fiscal reports. The coverage is budgetary central government (BCG) and the time period covered is the last three completed fiscal years. Public Expenditure and Financial Accountability (PEFA). Ministry of Finance (MoF).
GC.TAX.YPKG.CN Taxes on income, profits and capital gains (current LCU) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.REV.SOCL.ZS Social contributions (% of revenue) Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.YG.ZS Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (young adults, % of population ages 15-24). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FR.INR.DPST Deposit interest rate (%) Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics and data files.
FI.RES.TOTL.DT.ZS Total reserves (% of total external debt) International reserves to total external debt stocks. World Bank, International Debt Statistics.
ER.H2O.FWTL.K3 Annual freshwater withdrawals, total (billion cubic meters) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002. Food and Agriculture Organization, AQUASTAT data.
EN.POP.EL5M.ZS Population living in areas where elevation is below 5 meters (% of total population) Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
EN.ATM.SF6G.KT.CE SF6 gas emissions (thousand metric tons of CO2 equivalent) Sulfur hexafluoride is used largely to insulate high-voltage electric power equipment. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.METH.EG.KT.CE Methane emissions in energy sector (thousand metric tons of CO2 equivalent) Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.KD.GD CO2 emissions (kg per 2010 US$ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.RNEW.ZS Renewable electricity output (% of total electricity output) Renewable electricity is the share of electrity generated by renewable power plants in total electricity generated by all types of plants. IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DPPG.GN.ZS Public and publicly guaranteed debt service (% of GNI) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. World Bank, International Debt Statistics.
DT.ODA.ALLD.KD Net official development assistance and official aid received (constant 2018 US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2018 U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.RDBC.CD Net financial flows, RDB concessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Concessional financial flows cover disbursements made through concessional lending facilities. Regional development banks are the African Development Bank, in Tunis, Tunisia, which serves all of Africa, including North Africa; the Asian Development Bank, in Manila, Philippines, which serves South and Central Asia and East Asia and Pacific; the European Bank for Reconstruction and Development, in London, United Kingdom, which serves Europe and Central Asia; and the Inter-American Development Bank, in Washington, D.C., which serves the Americas. Aggregates include amounts for economies not specified elsewhere. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.ILOG.CD Net official flows from UN agencies, ILO (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.DOD.DSTC.CD External debt stocks, short-term (DOD, current US$) Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.SVKL.CD Net bilateral aid flows from DAC donors, Slovak Republic (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.FINL.CD Net bilateral aid flows from DAC donors, Finland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.LCAP.CD Market capitalization of listed domestic companies (current US$) Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates. World Federation of Exchanges database.
BX.GSR.GNFS.CD Exports of goods and services (BoP, current US$) Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.FIN.TOTL.CD Net financial account (BoP, current US$) The net financial account shows net acquisition and disposal of financial assets and liabilities. It measures how net lending to or borrowing from nonresidents is financed, and is conceptually equal to the sum of the balances on the current and capital accounts. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.CMCP.ZS Communications, computer, etc. (% of service imports, BoP) Communications, computer, information, and other services cover international telecommunications; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; personal, cultural, and recreational services; manufacturing services on physical inputs owned by others; and maintenance and repair services and government services not included elsewhere. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.EL5M.ZS Land area where elevation is below 5 meters (% of total land area) Land area below 5m is the percentage of total land where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
IP.IDS.RSCT Industrial design applications, resident, by count Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.TAX.METG Average number of visits or required meetings with tax officials (for affected firms) Average number of visits or required meetings with tax officials during the year. The value represents the average number of visits for all firms which reported being visited or required to meet with tax officials (please see indicator IC.FRM.METG.ZS). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.LGL.CRED.XQ Strength of legal rights index (0=weak to 12=strong) Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 12, with higher scores indicating that these laws are better designed to expand access to credit. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.DURS Time required to obtain an operating license (days) Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.CRD.PUBL.ZS Public credit registry coverage (% of adults) Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population. World Bank, Doing Business project (http://www.doingbusiness.org/).
HD.HCI.OVRL Human Capital Index (HCI) (scale 0-1) The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.TAX.YPKG.RV.ZS Taxes on income, profits and capital gains (% of revenue) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.REV.XGRT.CN Revenue, excluding grants (current LCU) Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.ZS Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FR.INR.LEND Lending interest rate (%) Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics and data files.
FI.RES.TOTL.MO Total reserves in months of imports Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. This item shows reserves expressed in terms of the number of months of imports of goods and services they could pay for [Reserves/(Imports/12)]. International Monetary Fund, International Financial Statistics and data files.
ER.H2O.FWTL.ZS Annual freshwater withdrawals, total (% of internal resources) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002. Food and Agriculture Organization, AQUASTAT data.
EN.POP.SLUM.UR.ZS Population living in slums (% of urban population) Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements. United Nations Human Settlements Programme (UN-HABITAT)
EN.BIR.THRD.NO Bird species, threatened Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
EN.ATM.METH.EG.ZS Energy related methane emissions (% of total) Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.CO2E.KT CO2 emissions (kt) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.RNWX.KH Electricity production from renewable sources, excluding hydroelectric (kWh) Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DPPG.XP.ZS Public and publicly guaranteed debt service (% of exports of goods, services and primary income) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Exports refer to exports of goods, services, and income. World Bank.
DT.ODA.OATL.CD Net official aid received (current US$) Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.RDBN.CD Net financial flows, RDB nonconcessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Nonconcessional financial flows cover all disbursements except those made through concessional lending facilities. Regional development banks are the African Development Bank, in Tunis, Tunisia, which serves all of Africa, including North Africa; the Asian Development Bank, in Manila, Philippines, which serves South and Central Asia and East Asia and Pacific; the European Bank for Reconstruction and Development, in London, United Kingdom, which serves Europe and Central Asia; and the Inter-American Development Bank, in Washington, D.C., which serves the Americas. Aggregates include amounts for economies not specified elsewhere. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.IMFC.CD Net financial flows, IMF concessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides concessional lending through the Poverty Reduction and Growth Facility and the IMF Trust Fund. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DSTC.IR.ZS Short-term debt (% of total reserves) Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total reserves includes gold. World Bank, International Debt Statistics.
DC.DAC.SVNL.CD Net bilateral aid flows from DAC donors, Slovenia (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.FRAL.CD Net bilateral aid flows from DAC donors, France (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.LCAP.GD.ZS Market capitalization of listed domestic companies (% of GDP) Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values. World Federation of Exchanges database.
BX.GSR.INSF.ZS Insurance and financial services (% of service exports, BoP) Insurance and financial services cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and nonresidents. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.GSR.FCTY.CD Net primary income (BoP, current US$) Net primary income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.FCTY.CD Primary income payments (BoP, current US$) Primary income payments refer to employee compensation paid to nonresident workers and investment income (payments on direct investment, portfolio investment, other investments). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.FRST.K2 Forest area (sq. km) Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens. Food and Agriculture Organization, electronic files and web site.
TX.VAL.TRVL.ZS.WT Travel services (% of commercial service exports) Travel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging and meals and transport (within the economy visited). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TX.VAL.MRCH.OR.ZS Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.TRAN.ZS.WT Transport services (% of commercial service imports) Transport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.VAL.MRCH.AL.ZS Merchandise imports from economies in the Arab World (% of total merchandise imports) Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.BC.ZS Binding coverage, primary products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
TM.TAX.MANF.BC.ZS Binding coverage, manufactured products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
SP.URB.GROW Urban population growth (annual %) Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
SP.POP.SCIE.RD.P6 Researchers in R&D (per million people) The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development. UNESCO Institute for Statistics (http://uis.unesco.org/)
SP.POP.65UP.FE.ZS Population ages 65 and above, female (% of female population) Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.3034.MA.5Y Population ages 30-34, male (% of male population) Male population between the ages 30 to 34 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0509.MA.5Y Population ages 05-09, male (% of male population) Male population between the ages 5 to 9 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.TO65.FE.ZS Survival to age 65, female (% of cohort) Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year. United Nations Population Division. World Population Prospects: 2019 Revision.
SN.ITK.SVFI.ZS Prevalence of severe food insecurity in the population (%) The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Food and Agriculture Organization of the United Nations (FAO)
SL.UEM.TOTL.FE.ZS Unemployment, female (% of female labor force) (modeled ILO estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.MA.ZS Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.FM.ZS Ratio of female to male labor force participation rate (%) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.MA.NE.ZS Labor force participation rate for ages 15-24, male (%) (national estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.MA.ZS Children in employment, male (% of male children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.IND.EMPL.FE.ZS Employment in industry, female (% of female employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.MA.ZS Employment to population ratio, 15+, male (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.1524.SP.FE.NE.ZS Employment to population ratio, ages 15-24, female (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.MDIM.XQ Multidimensional poverty index (scale 0-1) Proportion of the population that is multidimensionally poor adjusted by the intensity of the deprivations Government statistical agencies. Data for EU countires are from the EUROSTAT
SI.DST.10TH.10 Income share held by highest 10% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.EHEX.PP.CD External health expenditure per capita, PPP (current international $) Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP time series based on ICP2011 PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP1.ZS Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the fraction of a country's households experiencing impoverishing expenditures, defined as expenditures without which the household would have been above the $ 1.90 poverty line, but because of the expenditures is below the poverty line. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.SUIC.MA.P5 Suicide mortality rate, male (per 100,000 male population) Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.ODFC.ZS People practicing open defecation (% of population) People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).
SH.STA.BASS.ZS People using at least basic sanitation services (% of population) The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.MMR.RISK Lifetime risk of maternal death (1 in: rate varies by country) Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death. WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
SH.HIV.INCD.YG Young people (ages 15-24) newly infected with HIV Number of young people (ages 15-24) newly infected with HIV. UNAIDS estimates.
SH.DYN.NMRT Mortality rate, neonatal (per 1,000 live births) Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.DTH.INJR.ZS Cause of death, by injury (% of total) Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries. Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
SG.VAW.REAS.ZS Women who believe a husband is justified in beating his wife (any of five reasons) (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
SE.XPD.SECO.ZS Expenditure on secondary education (% of government expenditure on education) Expenditure on secondary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.MS.ZS Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed Master's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.UP.ZS Trained teachers in upper secondary education (% of total teachers) Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRR.FE School enrollment, secondary, female (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.CUAT.PO.MA.ZS Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TENR.FE Adjusted net enrollment rate, primary, female (% of primary school age children) Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.PRIV.ZS School enrollment, primary, private (% of total primary) Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.ENRL.TC.ZS Pupil-teacher ratio, primary Primary school pupil-teacher ratio is the average number of pupils per teacher in primary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRE.ENRR School enrollment, preprimary (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.cov_q5_tot Coverage of social insurance programs in richest quintile (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_q5_tot Coverage of unemployment benefits and ALMP in richest quintile (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TTF.GNFS.KN Terms of trade adjustment (constant LCU) The terms of trade effect equals capacity to import less exports of goods and services in constant prices. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.PCAP.KN GNI per capita (constant LCU) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDS.TOTL.CN Gross domestic savings (current LCU) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.KD GDP (constant 2010 US$) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2010 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.COAL.RT.ZS Coal rents (% of GDP) Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.ADJ.DPEM.GN.ZS Adjusted savings: particulate emission damage (% of GNI) Particulate emissions damage is the damage due to exposure of a country's population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5), ambient ozone pollution, and indoor concentrations of PM2.5 in households cooking with solid fuels. Damages are calculated as foregone labor income due to premature death. Estimates of health impacts from the Global Burden of Disease Study 2013 are for 1990, 1995, 2000, 2005, 2010, and 2013. Data for other years have been extrapolated from trends in mortality rates. Data on health impacts from exposure to ambient PM2.5 pollution and household air pollution are from the Global Burden of Disease 2013 study. Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington.
NV.SRV.TOTL.KD.ZG Services, value added (annual % growth) Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.TOTL.CD Industry (including construction), value added (current US$) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.EMPL.KD Agriculture, forestry, and fishing, value added per worker (constant 2010 US$) Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Agriculture corresponds to the International Standard Industrial Classification (ISIC) tabulation categories A and B (revision 3) or tabulation category A (revision 4), and includes forestry, hunting, and fishing as well as cultivation of crops and livestock production. Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
NE.GDI.TOTL.CN Gross capital formation (current LCU) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.KD Exports of goods and services (constant 2010 US$) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.PP.KD Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are converted to constant 2017 international dollars using purchasing power parity rates. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
MS.MIL.XPRT.KD Arms exports (SIPRI trend indicator values) Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services. Figures are SIPRI Trend Indicator Values (TIVs) expressed in US$ m. at constant (1990) prices. A '0' indicates that the value of deliveries is less than US$0.5m Stockholm International Peace Research Institute (SIPRI), Arms Transfers Programme (http://portal.sipri.org/publications/pages/transfer/splash).
TX.VAL.TRAN.ZS.WT Transport services (% of commercial service exports) Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TX.VAL.MRCH.HI.ZS Merchandise exports to high-income economies (% of total merchandise exports) Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.SERV.CD.WT Commercial service imports (current US$) Commercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.VAL.MMTL.ZS.UN Ores and metals imports (% of merchandise imports) Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.TAX.MRCH.WM.FN.ZS Tariff rate, most favored nation, weighted mean, all products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TM.QTY.MRCH.XD.WD Import volume index (2000 = 100) Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna­tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used. United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
SP.RUR.TOTL.ZS Rural population (% of total population) Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
SP.POP.GROW Population growth (annual %) Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SP.POP.65UP.FE.IN Population ages 65 and above, female Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.3034.FE.5Y Population ages 30-34, female (% of female population) Female population between the ages 30 to 34 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0509.FE.5Y Population ages 05-09, female (% of female population) Female population between the ages 5 to 9 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.TFRT.IN Fertility rate, total (births per woman) Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SN.ITK.SALT.ZS Consumption of iodized salt (% of households) Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine. United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019
SL.UEM.TOTL.FE.NE.ZS Unemployment, female (% of female labor force) (national estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.MA.NE.ZS Unemployment, youth male (% of male labor force ages 15-24) (national estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.FM.NE.ZS Ratio of female to male labor force participation rate (%) (national estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.FE.ZS Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.FE.ZS Children in employment, female (% of female children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.GDP.PCAP.EM.KD GDP per person employed (constant 2017 PPP $) GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.MA.NE.ZS Employment to population ratio, 15+, male (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.EMPL.ZS Employment in agriculture (% of total employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.MDIM.MA Multidimensional poverty headcount ratio, male (% of male population) The percentage of male population who are multidimensionally poor Government statistical agencies. Data for EU countires are from the EUROSTAT
SI.DST.05TH.20 Income share held by highest 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.EHEX.PC.CD External health expenditure per capita (current US$) Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP1.ZG Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $1.90 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.SUIC.FE.P5 Suicide mortality rate, female (per 100,000 female population) Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.ODFC.UR.ZS People practicing open defecation, urban (% of urban population) People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).
SH.STA.BASS.UR.ZS People using at least basic sanitation services, urban (% of urban population) The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.MMR.DTHS Number of maternal deaths A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes. WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
SH.HIV.INCD.TL.P3 Incidence of HIV, all (per 1,000 uninfected population) Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period. UNAIDS estimates.
SH.DYN.NCOM.ZS Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.DTH.IMRT Number of infant deaths Number of infants dying before reaching one year of age. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.VAW.NEGL.ZS Women who believe a husband is justified in beating his wife when she neglects the children (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
SE.XPD.SECO.PC.ZS Government expenditure per student, secondary (% of GDP per capita) Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.MS.MA.ZS Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed Master's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.UP.MA.ZS Trained teachers in upper secondary education, male (% of male teachers) Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRR School enrollment, secondary (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.CUAT.PO.FE.ZS Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TENR Adjusted net enrollment rate, primary (% of primary school age children) Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.OENR.ZS Over-age students, primary (% of enrollment) Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.ENRL.FE.ZS Primary education, pupils (% female) Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRE.ENRL.TC.ZS Pupil-teacher ratio, preprimary Preprimary school pupil-teacher ratio is the average number of pupils per teacher in preprimary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
per_si_allsi.cov_q4_tot Coverage of social insurance programs in 4th quintile (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_q4_tot Coverage of unemployment benefits and ALMP in 4th quintile (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TRF.NCTR.KN Net secondary income (Net current transfers from abroad) (constant LCU) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.PCAP.KD.ZG GNI per capita growth (annual %) Annual percentage growth rate of GNI per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank national accounts data, and OECD National Accounts data files.
NY.GDS.TOTL.CD Gross domestic savings (current US$) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.CN.AD GDP: linked series (current LCU) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in current local currency. World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
NY.EXP.CAPM.KN Exports as a capacity to import (constant LCU) Exports as a capacity to import equals the current price value of exports of goods and services deflated by the import price index. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.DPEM.CD Adjusted savings: particulate emission damage (current US$) Particulate emissions damage is the damage due to exposure of a country's population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5), ambient ozone pollution, and indoor concentrations of PM2.5 in households cooking with solid fuels. Damages are calculated as foregone labor income due to premature death. Estimates of health impacts from the Global Burden of Disease Study 2013 are for 1990, 1995, 2000, 2005, 2010, and 2013. Data for other years have been extrapolated from trends in mortality rates. Data on health impacts from exposure to ambient PM2.5 pollution and household air pollution are from the Global Burden of Disease 2013 study. Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington.
NV.SRV.TOTL.KD Services, value added (constant 2010 US$) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.MANF.ZS Manufacturing, value added (% of GDP) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator. World Bank national accounts data, and OECD National Accounts data files.
NE.TRD.GNFS.ZS Trade (% of GDP) Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.TOTL.CD Gross capital formation (current US$) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.CN Exports of goods and services (current LCU) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
IQ.CPA.FINQ.XQ CPIA quality of budgetary and financial management rating (1=low to 6=high) Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including timely and audited public accounts. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPN.TRAN.CD Public private partnerships investment in transport (current US$) Public Private Partnerships in transport (current US$) refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.TAX.DURS Time to prepare and pay taxes (hours) Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.IMP.TMBC Time to import, border compliance (hours) Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.CMPU.ZS Firms competing against unregistered firms (% of firms) Firms competing against unregistered firms are the percentage of firms competing against unregistered or informal firms. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.BUS.NREG New businesses registered (number) New businesses registered are the number of new limited liability corporations registered in the calendar year. World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).
GC.XPN.TRFT.CN Subsidies and other transfers (current LCU) Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.TOTL.CN Tax revenue (current LCU) Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.REV.GOTR.ZS Grants and other revenue (% of revenue) Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government owner­ship of property); and voluntary, unrequited, nonrepayable receipts other than grants. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.PL.ZS Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (primary education or less, % of population ages 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FP.CPI.TOTL.ZG Inflation, consumer prices (annual %) Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.
FD.RES.LIQU.AS.ZS Bank liquid reserves to bank assets ratio (%) Ratio of bank liquid reserves to bank assets is the ratio of domestic currency holdings and deposits with the monetary authorities to claims on other governments, nonfinancial public enterprises, the private sector, and other banking institutions. International Monetary Fund, International Financial Statistics and data files.
ER.H2O.FWIN.ZS Annual freshwater withdrawals, industry (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for industry are total withdrawals for direct industrial use (including withdrawals for cooling thermoelectric plants). Data are for the most recent year available for 1987-2002. Food and Agriculture Organization, AQUASTAT data.
EN.POP.EL5M.RU.ZS Rural population living in areas where elevation is below 5 meters (% of total population) Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
EN.ATM.PM25.MC.T3.ZS PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 3 (IT-3) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 15 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed. Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
EN.ATM.METH.AG.KT.CE Agricultural methane emissions (thousand metric tons of CO2 equivalent) Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savanna burning. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.GF.KT CO2 emissions from gaseous fuel consumption (kt) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.NUCL.ZS Electricity production from nuclear sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DPPF.XP.ZS Debt service (PPG and IMF only, % of exports of goods, services and primary income) Debt service (PPG and IMF only, % of exports of goods, services and primary income) Debt service is the sum of principle repayments and interest actually paid in currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and services include primary income, but do not include workers' remittances.
DT.NFL.WHOL.CD Net official flows from UN agencies, WHO (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PROP.CD PPG, other private creditors (NFL, current US$) Public and publicly guaranteed other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.IAEA.CD Net official flows from UN agencies, IAEA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.DOD.DPNG.CD External debt stocks, private nonguaranteed (PNG) (DOD, current US$) Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.POLL.CD Net bilateral aid flows from DAC donors, Poland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.DNKL.CD Net bilateral aid flows from DAC donors, Denmark (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.TRF.PWKR.DT.GD.ZS Personal remittances, received (% of GDP) Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.
BX.GSR.CMCP.ZS Communications, computer, etc. (% of service exports, BoP) Communications, computer, information, and other services cover international telecommunications; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; personal, cultural, and recreational services; manufacturing services on physical inputs owned by others; and maintenance and repair services and government services not included elsewhere. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.CAB.XOKA.CD Current account balance (BoP, current US$) Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.YLD.CREL.KG Cereal yield (kg per hectare) Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year. Food and Agriculture Organization, electronic files and web site.
AG.LND.EL5M.UR.K2 Urban land area where elevation is below 5 meters (sq. km) Urban land area below 5m is the total urban land area in square kilometers where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
NE.CON.PRVT.CN.AD Households and NPISHs final consumption expenditure: linked series (current LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices. World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
MS.MIL.MPRT.KD Arms imports (SIPRI trend indicator values) Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services. Figures are SIPRI Trend Indicator Values (TIVs) expressed in US$ m. at constant (1990) prices. A '0' indicates that the value of deliveries is less than US$0.5m. Stockholm International Peace Research Institute (SIPRI), Arms Transfers Programme (http://portal.sipri.org/publications/pages/transfer/splash).
IT.MLT.MAIN Fixed telephone subscriptions Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.CPA.TRAD.XQ CPIA trade rating (1=low to 6=high) Trade assesses how the policy framework fosters trade in goods. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IQ.CPA.ENVR.XQ CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPN.ICTI.CD Public private partnerships investment in ICT (current US$) Public Private Partnerships in ICT (current US$) refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars and available 2015 onwards only. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.REG.PROC.MA Start-up procedures to register a business, male (number) Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.IMP.CSDC.CD Cost to import, documentary compliance (US$) Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.BRIB.ZS Bribery incidence (% of firms experiencing at least one bribe payment request) Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.BUS.NDNS.ZS New business density (new registrations per 1,000 people ages 15-64) New businesses registered are the number of new limited liability corporations registered in the calendar year. World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).
GC.XPN.TOTL.GD.ZS Expense (% of GDP) Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
GC.TAX.OTHR.RV.ZS Other taxes (% of revenue) Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.REV.GOTR.CN Grants and other revenue (current LCU) Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government owner­ship of property); and voluntary, unrequited, nonrepayable receipts other than grants. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.OL.ZS Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (older adults, % of population ages 25+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FP.CPI.TOTL Consumer price index (2010 = 100) Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Data are period averages. International Monetary Fund, International Financial Statistics and data files.
FD.AST.PRVT.GD.ZS Domestic credit to private sector by banks (% of GDP) Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
ER.H2O.FWDM.ZS Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002. Food and Agriculture Organization, AQUASTAT data.
EN.POP.DNST Population density (people per sq. km of land area) Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. Food and Agriculture Organization and World Bank population estimates.
EN.ATM.PM25.MC.T2.ZS PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 2 (IT-2) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 25 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed. Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
EN.ATM.HFCG.KT.CE HFC gas emissions (thousand metric tons of CO2 equivalent) Hydrofluorocarbons, used as a replacement for chlorofluorocarbons, are used mainly in refrigeration and semiconductor manufacturing. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.EG.ZS CO2 intensity (kg per kg of oil equivalent energy use) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.NGAS.ZS Electricity production from natural gas sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DIMF.CD IMF repurchases and charges (TDS, current US$) IMF repurchases are total repayments of outstanding drawings from the General Resources Account during the year specified, excluding repayments due in the reserve tranche. IMF charges cover interest payments with respect to all uses of IMF resources, excluding those resulting from drawings in the reserve tranche. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.WFPG.CD Net official flows from UN agencies, WFP (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PNGC.CD PNG, commercial banks and other creditors (NFL, current US$) Nonguaranteed long-term commercial bank loans from private banks and other private financial institutions. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.FAOG.CD Net official flows from UN agencies, FAO (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.DOD.DLXF.CD External debt stocks, long-term (DOD, current US$) Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.NZLL.CD Net bilateral aid flows from DAC donors, New Zealand (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.DEUL.CD Net bilateral aid flows from DAC donors, Germany (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.TRF.PWKR.CD.DT Personal remittances, received (current US$) Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars. World Bank staff estimates based on IMF balance of payments data.
BX.GSR.CCIS.ZS ICT service exports (% of service exports, BoP) Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.TRF.PWKR.CD.DT Personal remittances, paid (current US$) Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars. World Bank staff estimates based on IMF balance of payments data.
AG.SRF.TOTL.K2 Surface area (sq. km) Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways. Food and Agriculture Organization, electronic files and web site.
AG.LND.EL5M.RU.ZS Rural land area where elevation is below 5 meters (% of total land area) Rural land area below 5m is the percentage of total land where the rural land elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
LP.LPI.INFR.XQ Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IS.RRS.PASG.KM Railways, passengers carried (million passenger-km) Passengers carried by railway are the number of passengers transported by rail times kilometers traveled. Internation Union of Railways (UIC), OECD Statistics
IQ.CPA.PROP.XQ CPIA property rights and rule-based governance rating (1=low to 6=high) Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.TMK.RESD Trademark applications, direct resident Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Direct resident trademark applications are those filed by domestic applicants directly at a given national IP office. World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.WRH.PROC Procedures to build a warehouse (number) Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apart from architects and engineers. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.REG.COST.PC.ZS Cost of business start-up procedures (% of GNI per capita) Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.OUTG.ZS Value lost due to electrical outages (% of sales for affected firms) Average losses due to electrical outages, as percentage of total annual sales. The value represents average losses for all firms which reported outages (please see indicator IC.ELC.OUTG.ZS). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.EXP.CSBC.CD Cost to export, border compliance (US$) Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies. World Bank, Doing Business project (http://www.doingbusiness.org/).
HD.HCI.OVRL.UB Human Capital Index (HCI), Upper Bound (scale 0-1) The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.INTP.CN Interest payments (current LCU) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.GSRV.VA.ZS Taxes on goods and services (% value added of industry and services) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates.
GC.LBL.TOTL.CN Net incurrence of liabilities, total (current LCU) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FS.AST.DOMS.GD.ZS Domestic credit provided by financial sector (% of GDP) Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FM.AST.PRVT.GD.ZS Monetary Sector credit to private sector (% GDP) Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FB.AST.NPER.ZS Bank nonperforming loans to total gross loans (%) Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperforming should be the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue. International Monetary Fund, Financial Soundness Indicators.
EP.PMP.SGAS.CD Pump price for gasoline (US$ per liter) Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars. German Agency for International Cooperation (GIZ).
EN.CO2.MANF.ZS CO2 emissions from manufacturing industries and construction (% of total fuel combustion) CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). Manufacturing industries and construction also includes emissions from coke inputs into blast furnaces, which may be reported either in the transformation sector, the industry sector or the separate IPCC Source/Sink Category 2, Industrial Processes. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EN.ATM.NOXE.EG.ZS Nitrous oxide emissions in energy sector (% of total) Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.CO2E.SF.KT CO2 emissions from solid fuel consumption (kt) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.USE.COMM.CL.ZS Alternative and nuclear energy (% of total energy use) Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.ACCS.UR.ZS Access to electricity, urban (% of urban population) Access to electricity, urban is the percentage of urban population with access to electricity. World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
DT.ODA.ODAT.MP.ZS Net ODA received (% of imports of goods, services and primary income) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank imports of good and services estimates are used for the denominator.
DT.NFL.UNEP.CD Net official flows from UN agencies, UNEP (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.NIFC.CD IFC, private nonguaranteed (NFL, current US$) Nonguaranteed long-term debt privately placed from the International Finance Corporation (IFC). Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.PVLX.CD Present value of external debt (current US$) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.ODA.TOTL.CD Net ODA provided, total (current US$) Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
DC.DAC.ITAL.CD Net bilateral aid flows from DAC donors, Italy (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.AUTL.CD Net bilateral aid flows from DAC donors, Austria (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.GSR.TRVL.ZS Travel services (% of service exports, BoP) Travel covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Travel includes local transport (i.e., transport within the economy being visited and provided by a resident of that economy), but excludes international transport (which is included in passenger transport. Travel also excludes goods for resale, which are included in general merchandise. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.RES.INCL.CD Reserves and related items (BoP, current US$) Reserves and related items is the net change in a country's holdings of international reserves resulting from transactions on the current, capital, and financial accounts. Reserve assets are those external assets that are readily available to and controlled by monetary authorities for meeting balance of payments financing needs, and include holdings of monetary gold, special drawing rights (SDRs), reserve position in the International Monetary Fund (IMF), and other reserve assets. Also included are net credit and loans from the IMF (excluding reserve position) and total exceptional financing. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.TOTL.CD Imports of goods, services and primary income (BoP, current US$) Imports of goods, services and primary income is the sum of goods imports, service imports and primary income payments. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.TOTL.UR.K2 Urban land area (sq. km) Urban land area in square kilometers, based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
AG.LND.ARBL.HA Arable land (hectares) Arable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Food and Agriculture Organization, electronic files and web site.
IP.JRN.ARTC.SC Scientific and technical journal articles Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences. National Science Foundation, Science and Engineering Indicators.
IC.TAX.OTHR.CP.ZS Other taxes payable by businesses (% of commercial profits) Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.LGL.DURS Time required to enforce a contract (days) Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.FEMM.ZS Firms with female top manager (% of firms) Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.CUS.DURS.EX Average time to clear exports through customs (days) Average time to clear exports through customs is the average number of days to clear direct exports through customs. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
HD.HCI.OVRL.FE Human Capital Index (HCI), Female (scale 0-1) The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.TAX.YPKG.ZS Taxes on income, profits and capital gains (% of total taxes) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.REV.XGRT.GD.ZS Revenue, excluding grants (% of GDP) Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
GB.XPD.RSDV.GD.ZS Research and development expenditure (% of GDP) Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development. UNESCO Institute for Statistics (http://uis.unesco.org/)
FR.INR.LNDP Interest rate spread (lending rate minus deposit rate, %) Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics and data files.
FI.RES.XGLD.CD Total reserves minus gold (current US$) Total reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. Gold holdings are excluded. Data are in current U.S. dollars. International Monetary Fund, International Financial Statistics and data files.
ER.H2O.INTR.K3 Renewable internal freshwater resources, total (billion cubic meters) Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Food and Agriculture Organization, AQUASTAT data.
EN.URB.LCTY Population in largest city Population in largest city is the urban population living in the country's largest metropolitan area. United Nations, World Urbanization Prospects.
EN.CLC.DRSK.XQ Disaster risk reduction progress score (1-5 scale; 5=best) Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of "Priority 1" include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions. (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).
EN.ATM.METH.KT.CE Methane emissions (kt of CO2 equivalent) Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.LF.KT CO2 emissions from liquid fuel consumption (kt) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.RNWX.ZS Electricity production from renewable sources, excluding hydroelectric (% of total) Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.MLAT.CD Multilateral debt service (TDS, current US$) Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Debt service payments are the sum of principal repayments and interest payments actually made in the year specified. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.ODA.OATL.KD Net official aid received (constant 2018 US$) Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2018 U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.UNAI.CD Net official flows from UN agencies, UNAIDS (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.IMFN.CD Net financial flows, IMF nonconcessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, mainly to meet balance of payments needs. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DSTC.XP.ZS Short-term debt (% of exports of goods, services and primary income) Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. World Bank, International Debt Statistics.
DC.DAC.SWEL.CD Net bilateral aid flows from DAC donors, Sweden (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.GBRL.CD Net bilateral aid flows from DAC donors, United Kingdom (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.LDOM.NO Listed domestic companies, total Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included. World Federation of Exchanges database.
BX.GSR.MRCH.CD Goods exports (BoP, current US$) Goods exports refer to all movable goods (including nonmonetary gold and net exports of goods under merchanting) involved in a change of ownership from residents to nonresidents. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.GSR.GNFS.CD Net trade in goods and services (BoP, current US$) Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.GNFS.CD Imports of goods and services (BoP, current US$) Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, nonmonetary gold, and services. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.FRST.ZS Forest area (% of land area) Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens. Food and Agriculture Organization, electronic files and web site.
AG.AGR.TRAC.NO Agricultural machinery, tractors Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Food and Agriculture Organization, electronic files and web site.
IS.RRS.GOOD.MT.K6 Railways, goods transported (million ton-km) Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled. Internation Union of Railways (UIC), OECD Statistics
IQ.CPA.PRES.XQ CPIA equity of public resource use rating (1=low to 6=high) Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.TMK.NRES Trademark applications, direct nonresident Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Direct nonresident trademark applications are those filed by applicants from abroad directly at a given national IP office. World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.WRH.DURS Time required to build a warehouse (days) Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.REG.COST.PC.MA.ZS Cost of business start-up procedures, male (% of GNI per capita) Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.METG.ZS Firms visited or required meetings with tax officials (% of firms) Percent of firms that were visited or required to meet with tax officials. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.ELC.TIME Time required to get electricity (days) Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to complete a procedure. World Bank, Doing Business project (http://www.doingbusiness.org/).
HD.HCI.OVRL.MA Human Capital Index (HCI), Male (scale 0-1) The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.GSRV.ZS Goods and services expense (% of expense) Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.GSRV.RV.ZS Taxes on goods and services (% of revenue) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.DOD.TOTL.GD.ZS Central government debt, total (% of GDP) Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
FS.AST.DOMO.GD.ZS Claims on other sectors of the domestic economy (% of GDP) Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FM.AST.NFRG.CN Net foreign assets (current LCU) Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency. International Monetary Fund, International Financial Statistics and data files.
ER.PTD.TOTL.ZS Terrestrial and marine protected areas (% of total territorial area) Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded. World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
EP.PMP.DESL.CD Pump price for diesel fuel (US$ per liter) Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars. German Agency for International Cooperation (GIZ).
EN.CO2.ETOT.ZS CO2 emissions from electricity and heat production, total (% of total fuel combustion) CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers (formerly known as public utilities) are defined as those undertakings whose primary activity is to supply the public. They may be publicly or privately owned. This corresponds to IPCC Source/Sink Category 1 A 1 a. For the CO2 emissions from fuel combustion (summary) file, emissions from own on-site use of fuel in power plants (EPOWERPLT) are also included. (2) Unallocated Autoproducers which contains the emissions from the generation of electricity and/or heat by autoproducers. Autoproducers are defined as undertakings that generate electricity and/or heat, wholly or partly for their own use as an activity which supports their primary activity. They may be privately or publicly owned. In the 1996 IPCC Guidelines, these emissions would normally be distributed between industry, transport and "other" sectors. (3) Other Energy Industries contains emissions from fuel combusted in petroleum refineries, for the manufacture of solid fuels, coal mining, oil and gas extraction and other energy-producing industries. This corresponds to the IPCC Source/Sink Categories 1 A 1 b and 1 A 1 c. According to the 1996 IPCC Guidelines, emissions from coke inputs to blast furnaces can either be counted here or in the Industrial Processes source/sink category. Within detailed sectoral calculations, certain non-energy processes can be distinguished. In the reduction of iron in a blast furnace through the combustion of coke, the primary purpose of the coke oxidation is to produce pig iron and the emissions can be considered as an industrial process. Care must be taken not to double count these emissions in both Energy and Industrial Processes. In the IEA estimations, these emissions have been included in this category. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EN.ATM.NOXE.EG.KT.CE Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.PP.GD.KD CO2 emissions (kg per 2017 PPP $ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.IMP.CONS.ZS Energy imports, net (% of energy use) Net energy imports are estimated as energy use less production, both measured in oil equivalents. A negative value indicates that the country is a net exporter. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.ACCS.RU.ZS Access to electricity, rural (% of rural population) Access to electricity, rural is the percentage of rural population with access to electricity. World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
DT.ODA.ODAT.KD Net official development assistance received (constant 2018 US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in constant 2018 U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.UNEC.CD Net official flows from UN agencies, UNECE (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.MOTH.CD Net financial flows, others (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Others is a residual category in the World Bank's Debtor Reporting System. It includes such institutions as the Caribbean Development Fund, Council of Europe, European Development Fund, Islamic Development Bank, Nordic Development Fund, and the like. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.MWBG.CD IBRD loans and IDA credits (DOD, current US$) IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are at concessional rates. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.ODA.TLDC.GN.ZS Net ODA provided to the least developed countries (% of GNI) Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Series is shown as a share of donors' GNI. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
DC.DAC.ISLL.CD Net bilateral aid flows from DAC donors, Iceland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.AUSL.CD Net bilateral aid flows from DAC donors, Australia (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.GSR.TRAN.ZS Transport services (% of service exports, BoP) Transport covers all transport services (sea, air, land, internal waterway, pipeline, space and electricity transmission) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Also included are postal and courier services. Excluded are freight insurance (included in insurance services); goods procured in ports by nonresident carriers (included in goods); maintenance and repairs on transport equipment (included in maintenance and repair services n.i.e.); and repairs of railway facilities, harbors, and airfield facilities (included in construction). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.KLT.PTXL.CD Portfolio Investment, net (BoP, current US$) Portfolio investment covers transactions in equity securities and debt securities. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.ROYL.CD Charges for the use of intellectual property, payments (BoP, current US$) Charges for the use of intellectual property are payments and receipts between residents and nonresidents for the authorized use of proprietary rights (such as patents, trademarks, copyrights, industrial processes and designs including trade secrets, and franchises) and for the use, through licensing agreements, of produced originals or prototypes (such as copyrights on books and manuscripts, computer software, cinematographic works, and sound recordings) and related rights (such as for live performances and television, cable, or satellite broadcast). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.TOTL.RU.K2 Rural land area (sq. km) Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
AG.LND.AGRI.ZS Agricultural land (% of land area) Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops. Food and Agriculture Organization, electronic files and web site.
VC.IHR.PSRC.FE.P5 Intentional homicides, female (per 100,000 female) Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded. UN Office on Drugs and Crime's International Homicide Statistics database.
TX.VAL.MRCH.R5.ZS Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.UVI.MRCH.XD.WD Export unit value index (2000 = 100) Export unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates. United Nations Conference on Trade and Development, Handbook of Statistics and data files. (http://unctadstat.unctad.org)
TM.VAL.MRCH.R2.ZS Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) Merchandise imports from low- and middle-income economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Europe and Central Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.SR.ZS Share of tariff lines with specific rates, primary products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
TM.TAX.MANF.SR.ZS Share of tariff lines with specific rates, manufactured products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
ST.INT.DPRT International tourism, number of departures International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.POP.TOTL.MA.IN Population, male Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.7074.FE.5Y Population ages 70-74, female (% of female population) Female population between the ages 70 to 74 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.4549.FE.5Y Population ages 45-49, female (% of female population) Female population between the ages 45 to 49 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.FE.IN Population ages 15-64, female Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.M18.2024.FE.ZS Women who were first married by age 18 (% of women ages 20-24) Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SL.WAG.0714.FE.ZS Children in employment, wage workers, female (% of female children in employment, ages 7-14) Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.UEM.ADVN.ZS Unemployment with advanced education (% of total labor force with advanced education) The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.INTM.FE.ZS Labor force with intermediate education, female (% of female working-age population with intermediate education) The percentage of the working age population with an intermediate level of education who are in the labor force. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.MA.ZS Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.TM Average working hours of children, study and work, ages 7-14 (hours per week) Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.MNF.0714.ZS Child employment in manufacturing (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.VULN.ZS Vulnerable employment, total (% of total employment) (modeled ILO estimate) Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.EMP.1524.SP.ZS Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.RMT.COST.OB.ZS Average transaction cost of sending remittances from a specific country (%) Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country. World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org
SI.POV.GAPS Poverty gap at $1.90 a day (2011 PPP) (%) Poverty gap at $1.90 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $1.90 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.GHED.PP.CD Domestic general government health expenditure per capita, PPP (current international $) Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP time series based on ICP2011 PPP). World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.OOPC.10.TO Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.WAST.MA.ZS Prevalence of wasting, weight for height, male (% of children under 5) Prevalence of wasting, male,is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.OWGH.ZS Prevalence of overweight, weight for height (% of children under 5) Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.FGMS.ZS Female genital mutilation prevalence (%) Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of Auguest 28, 2020, UNICEF DATA (http://www.data.unicef.org/) as of August 30, 2020.
SH.PRV.SMOK.MA Prevalence of current tobacco use, males (% of male adults) The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.IMM.IDPT Immunization, DPT (% of children ages 12-23 months) Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine. WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
SH.H2O.SMDW.RU.ZS People using safely managed drinking water services, rural (% of rural population) The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DYN.1014 Probability of dying among adolescents ages 10-14 years (per 1,000) Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.ANM.ALLW.ZS Prevalence of anemia among women of reproductive age (% of women ages 15-49) Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
SG.DMK.ALLD.FN.ZS Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends). Demographic and Health Surveys (DHS)
SE.TER.ENRR School enrollment, tertiary (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.UNER.LO.FE.ZS Adolescents out of school, female (% of female lower secondary school age) Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.PRIV.ZS School enrollment, secondary, private (% of total secondary) Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.DURS Secondary education, duration (years) Secondary duration refers to the number of grades (years) in secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.UNER.MA Children out of school, primary, male Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.PRSL.MA.ZS Persistence to last grade of primary, male (% of cohort) Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.GINT.MA.ZS Gross intake ratio in first grade of primary education, male (% of relevant age group) Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRE.TCAQ.ZS Trained teachers in preprimary education (% of total teachers) Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.1524.LT.ZS Literacy rate, youth total (% of people ages 15-24) Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_q2_tot Coverage of social safety net programs in 2nd quintile (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
PA.NUS.PRVT.PP PPP conversion factor, private consumption (LCU per international $) Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for household final consumption expenditure. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GNS.ICTR.GN.ZS Gross savings (% of GNI) Gross savings are calculated as gross national income less total consumption, plus net transfers. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.CN GNI (current LCU) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.NGAS.RT.ZS Natural gas rents (% of GDP) Natural gas rents are the difference between the value of natural gas production at world prices and total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.GDP.DISC.CN Discrepancy in expenditure estimate of GDP (current LCU) Discrepancy in expenditure estimate of GDP is the discrepancy included in final consumption expenditure, etc. (total consumption, etc.). This discrepancy is included to ensure that GDP from the expenditure side equals GDP measured by the income or output approach. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.CD Adjusted net national income (current US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DCO2.CD Adjusted savings: carbon dioxide damage (current US$) Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).
NV.IND.TOTL.ZS Industry (including construction), value added (% of GDP) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.TOTL.KN Agriculture, forestry, and fishing, value added (constant LCU) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.IMP.GNFS.CD Imports of goods and services (current US$) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FPRV.ZS Gross fixed capital formation, private sector (% of GDP) Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.KD.ZG Final consumption expenditure (annual % growth) Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.GOVT.KN General government final consumption expenditure (constant LCU) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
LP.LPI.LOGS.XQ Logistics performance index: Competence and quality of logistics services (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
VC.IDP.NWDS Internally displaced persons, new displacement associated with disasters (number of cases) Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once. The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
TX.VAL.MRCH.R3.ZS Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.MNF.TECH.ZS.UN Medium and high-tech exports (% manufactured exports) Share of medium and high-tech manufactured exports in total manufactured exports. United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database
TM.VAL.MRCH.OR.ZS Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.SM.AR.ZS Tariff rate, applied, simple mean, primary products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TM.TAX.MANF.SM.AR.ZS Tariff rate, applied, simple mean, manufactured products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
SP.UWT.TFRT Unmet need for contraception (% of married women ages 15-49) Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception. Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
SP.POP.TOTL.FE.IN Population, female Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.65UP.TO Population ages 65 and above, total Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.4044.FE.5Y Population ages 40-44, female (% of female population) Female population between the ages 40 to 44 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1519.FE.5Y Population ages 15-19, female (% of female population) Female population between the ages 15 to 19 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.HOU.FEMA.ZS Female headed households (% of households with a female head) Female headed households shows the percentage of households with a female head. Demographic and Health Surveys.
SP.DYN.AMRT.FE Mortality rate, adult, female (per 1,000 female adults) Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.
SL.UEM.TOTL.NE.ZS Unemployment, total (% of total labor force) (national estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.ADVN.FE.ZS Unemployment with advanced education, female (% of female labor force with advanced education) The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.NE.ZS Labor force participation rate, total (% of total population ages 15+) (national estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.ZS Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.MA.TM Average working hours of children, study and work, male, ages 7-14 (hours per week) Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.MNF.0714.FE.ZS Child employment in manufacturing, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.VULN.FE.ZS Vulnerable employment, female (% of female employment) (modeled ILO estimate) Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.EMP.1524.SP.MA.ZS Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.UMIC.GP Poverty gap at $5.50 a day (2011 PPP) (%) Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SI.DST.FRST.20 Income share held by lowest 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.GHED.GE.ZS Domestic general government health expenditure (% of general government expenditure) Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP2.ZG Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.WASH.P5 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.STA.OWGH.FE.ZS Prevalence of overweight, weight for height, female (% of children under 5) Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.BRTW.ZS Low-birthweight babies (% of births) Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred. UNICEF-WHO Low birthweight estimates [data.unicef.org]
SH.PRV.SMOK Prevalence of current tobacco use (% of adults) The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.HIV.PMTC.ZS Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT). UNAIDS estimates.
SH.H2O.BASW.UR.ZS People using at least basic drinking water services, urban (% of urban population) The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DTH.NMRT Number of neonatal deaths Number of neonates dying before reaching 28 days of age. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.ALC.PCAP.LI Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SE.XPD.TOTL.GB.ZS Government expenditure on education, total (% of government expenditure) General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.ST.ZS Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed short-cycle tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCHR.FE Secondary education, teachers, female Secondary education teachers includes full-time and part-time teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.NENR.FE School enrollment, secondary, female (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.UP.MA.ZS Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed upper secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.UNER.FE Children out of school, primary, female Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.PRS5.ZS Persistence to grade 5, total (% of cohort) Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.ENRR.MA School enrollment, primary, male (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRE.TCAQ.FE.ZS Trained teachers in preprimary education, female (% of female teachers) Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.1524.LT.FM.ZS Literacy rate, youth (ages 15-24), gender parity index (GPI) Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.cov_pop_tot Coverage of social safety net programs (% of population) Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
PA.NUS.PPP PPP conversion factor, GDP (LCU per international $) Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for GDP. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GNS.ICTR.CD Gross savings (current US$) Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.ATLS.CD GNI, Atlas method (current US$) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.PP.CD GDP, PPP (current international $) This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From April 2020, “GDP: linked series (current LCU)” [NY.GDP.MKTP.CN.AD] is used as underlying GDP in local currency unit so that it’s in line with time series of PPP conversion factors for GDP, which are extrapolated with linked GDP deflators. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.DEFL.ZS GDP deflator (base year varies by country) The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNAT.CD Adjusted savings: net national savings (current US$) Net national savings are equal to gross national savings less the value of consumption of fixed capital. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.AEDU.CD Adjusted savings: education expenditure (current US$) Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.
NV.IND.TOTL.KD.ZG Industry (including construction), value added (annual % growth) Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.TOTL.KD Agriculture, forestry, and fishing, value added (constant 2010 US$) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.TOTL.KN Gross capital formation (constant LCU) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.ZS Exports of goods and services (% of GDP) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.CN Final consumption expenditure (current LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.GOVT.KD General government final consumption expenditure (constant 2010 US$) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
LP.EXP.DURS.MD Lead time to export, median case (days) Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IS.AIR.GOOD.MT.K1 Air transport, freight (million ton-km) Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
IQ.CPA.MACR.XQ CPIA macroeconomic management rating (1=low to 6=high) Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.PAT.RESD Patent applications, residents Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.TAX.PRFT.CP.ZS Profit tax (% of commercial profits) Profit tax is the amount of taxes on profits paid by the business. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.PRP.PROC Procedures to register property (number) Number of procedures to register property is the number of procedures required for a businesses to secure rights to property. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.FREG.ZS Firms formally registered when operations started (% of firms) Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.ELC.OUTG Power outages in firms in a typical month (number) Power outages are the average number of power outages that establishments experience in a typical month. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
HD.HCI.OVRL.LB.FE Human Capital Index (HCI), Female, Lower Bound (scale 0-1) The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.COMP.ZS Compensation of employees (% of expense) Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.EXPT.ZS Taxes on exports (% of tax revenue) Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from these taxes, not from amounts receivable from export taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.AST.TOTL.GD.ZS Net acquisition of financial assets (% of GDP) Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FR.INR.RISK Risk premium on lending (lending rate minus treasury bill rate, %) Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the "risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers its best corporate clients to be lower risk than the government. The terms and conditions attached to lending rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics database.
FM.AST.DOMO.ZG.M3 Claims on other sectors of the domestic economy (annual growth as % of broad money) Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. International Monetary Fund, International Financial Statistics and data files.
ER.LND.PTLD.ZS Terrestrial protected areas (% of total land area) Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas, unclassified areas, littoral (intertidal) areas, and sites protected under local or provincial law are excluded. World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
EN.URB.MCTY Population in urban agglomerations of more than 1 million Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2018 had a population of more than one million people. United Nations, World Urbanization Prospects.
EN.CLC.MDAT.ZS Droughts, floods, extreme temperatures (% of population, average 1990-2009) Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated. EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.
EN.ATM.NOXE.AG.KT.CE Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savanna burning. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.CO2E.PC CO2 emissions (metric tons per capita) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.GDP.PUSE.KO.PP GDP per unit of energy use (PPP $ per kg of oil equivalent) GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.CFT.ACCS.ZS Access to clean fuels and technologies for cooking (% of population) Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels. World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.
DT.ODA.ODAT.GI.ZS Net ODA received (% of gross capital formation) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross capital formation estimates are used for the denominator.
DT.NFL.UNCR.CD Net official flows from UN agencies, UNHCR (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.MIDA.CD Net financial flows, IDA (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IDA is the International Development Association, the concessional loan window of the World Bank Group. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.MIBR.CD PPG, IBRD (DOD, current US$) Public and publicly guaranteed debt outstanding from the International Bank for Reconstruction and Development (IBRD) is nonconcessional. Nonconcessional debt excludes loans with an original grant element of 35 percent or more. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.USAL.CD Net bilateral aid flows from DAC donors, United States (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.HUNL.CD Net bilateral aid flows from DAC donors, Hungary (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.TRAD.GD.ZS Stocks traded, total value (% of GDP) The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values. World Federation of Exchanges database.
BX.GSR.ROYL.CD Charges for the use of intellectual property, receipts (BoP, current US$) Charges for the use of intellectual property are payments and receipts between residents and nonresidents for the authorized use of proprietary rights (such as patents, trademarks, copyrights, industrial processes and designs including trade secrets, and franchises) and for the use, through licensing agreements, of produced originals or prototypes (such as copyrights on books and manuscripts, computer software, cinematographic works, and sound recordings) and related rights (such as for live performances and television, cable, or satellite broadcast). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.KAC.EOMS.CD Net errors and omissions (BoP, current US$) Net errors and omissions constitute a residual category needed to ensure that accounts in the balance of payments statement sum to zero. Net errors and omissions are derived as the balance on the financial account minus the balances on the current and capital accounts. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.MRCH.CD Goods imports (BoP, current US$) Goods imports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from nonresidents to residents. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.PRCP.MM Average precipitation in depth (mm per year) Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid. Food and Agriculture Organization, electronic files and web site.
AG.CON.FERT.ZS Fertilizer consumption (kilograms per hectare of arable land) Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has adopted the concept of a calendar year (January to December). Some countries compile fertilizer data on a calendar year basis, while others are on a split-year basis. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Food and Agriculture Organization, electronic files and web site.
IC.REG.PROC.FE Start-up procedures to register a business, female (number) Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.IMP.CSBC.CD Cost to import, border compliance (US$) Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.BNKS.ZS Firms using banks to finance investment (% of firms) Firms using banks to finance investment are the percentage of firms using banks to finance investments. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.BUS.EASE.XQ Ease of doing business index (1=most business-friendly regulations) Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators. World Bank, Doing Business project (http://www.doingbusiness.org/).
GC.XPN.TOTL.CN Expense (current LCU) Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.OTHR.CN Other taxes (current LCU) Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.NLD.TOTL.GD.ZS Net lending (+) / net borrowing (-) (% of GDP) Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.MA.ZS Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (male, % age 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FM.LBL.BMNY.ZG Broad money growth (annual %) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper. International Monetary Fund, International Financial Statistics and data files.
FB.CBK.DPTR.P3 Depositors with commercial banks (per 1,000 adults) Depositors with commercial banks are the reported number of deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. For many countries data cover the total number of deposit accounts due to lack of information on account holders. The major types of deposits are checking accounts, savings accounts, and time deposits. International Monetary Fund, Financial Access Survey.
ER.H2O.FWAG.ZS Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture are total withdrawals for irrigation and livestock production. Data are for the most recent year available for 1987-2002. Food and Agriculture Organization, AQUASTAT data.
EN.MAM.THRD.NO Mammal species, threatened Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
EN.ATM.PM25.MC.T1.ZS PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 1 (IT-1) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 35 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed. Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
EN.ATM.GHGT.ZG Total greenhouse gas emissions (% change from 1990) Total greenhouse gas emissions are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). Each year of data shows the percentage change to that year from 1990. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EG.USE.PCAP.KG.OE Energy use (kg of oil equivalent per capita) Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.LOSS.ZS Electric power transmission and distribution losses (% of output) Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage. IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DECT.GN.ZS Total debt service (% of GNI) Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. World Bank, International Debt Statistics.
DT.NFL.UNWT.CD Net official flows from UN agencies, UNWTO (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PNGB.CD PNG, bonds (NFL, current US$) Nonguaranteed long-term debt from bonds that are privately placed. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.DPNG.CD Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DIMF.CD Use of IMF credit (DOD, current US$) Use of IMF Credit: Data related to the operations of the IMF are provided by the IMF Treasurer’s Department. They are converted from special drawing rights into dollars using end-of-period exchange rates for stocks and average-over-the-period exchange rates for flows. IMF trust fund operations under the Enhanced Structural Adjustment Facility, Extended Fund Facility, Poverty Reduction and Growth Facility, and Structural Adjustment Facility (Enhanced Structural Adjustment Facility in 1999) are presented together with all of the IMF’s special facilities (buffer stock, supplemental reserve, compensatory and contingency facilities, oil facilities, and other facilities). SDR allocations are also included in this category. According to the BPM6, SDR allocations are recorded as the incurrence of a debt liability of the member receiving them (because of a requirement to repay the allocation in certain circumstances, and also because interest accrues). This debt item is introduced for the first time this year with historical data starting in 1999. World Bank, International Debt Statistics.
DC.DAC.NORL.CD Net bilateral aid flows from DAC donors, Norway (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.CZEL.CD Net bilateral aid flows from DAC donors, Czech Republic (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.TRF.PWKR.CD Personal transfers, receipts (BoP, current US$) Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BX.GSR.CCIS.CD ICT service exports (BoP, current US$) Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.TRF.PRVT.CD Secondary income, other sectors, payments (BoP, current US$) Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.PRD.LVSK.XD Livestock production index (2004-2006 = 100) Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins. Food and Agriculture Organization, electronic files and web site.
AG.LND.EL5M.RU.K2 Rural land area where elevation is below 5 meters (sq. km) Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
IT.NET.BBND Fixed broadband subscriptions Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IQ.SCI.MTHD Methodology assessment of statistical capacity (scale 0 - 100) The methodology indicator measures a country’s ability to adhere to internationally recommended standards and methods. The methodology score is calculated as the weighted average of 10 underlying indicator scores. The final methodology score contributes 1/3 of the overall Statistical Capacity Indicator score. World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
IQ.CPA.FINS.XQ CPIA financial sector rating (1=low to 6=high) Financial sector assesses the structure of the financial sector and the policies and regulations that affect it. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPN.WATR.CD Public private partnerships investment in water and sanitation (current US$) Public Private Partnerships in water and sanitation (current US$) refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.TAX.GIFT.ZS Firms expected to give gifts in meetings with tax officials (% of firms) Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question "was a gift or informal payment expected or requested during a meeting with tax officials?" World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.IMP.TMDC Time to import, documentary compliance (hours) Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.CORR.ZS Informal payments to public officials (% of firms) Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to "get things done" with regard to customs, taxes, licenses, regulations, services, and the like. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.CRD.INFO.XQ Depth of credit information index (0=low to 8=high) Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions. World Bank, Doing Business project (http://www.doingbusiness.org/).
GC.XPN.TRFT.ZS Subsidies and other transfers (% of expense) Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.TOTL.GD.ZS Tax revenue (% of GDP) Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
GC.REV.SOCL.CN Social contributions (current LCU) Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.SO.ZS Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (secondary education or more, % of population ages 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FP.WPI.TOTL Wholesale price index (2010 = 100) Wholesale price index refers to a mix of agricultural and industrial goods at various stages of production and distribution, including import duties. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.
FI.RES.TOTL.CD Total reserves (includes gold, current US$) Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. Data are in current U.S. dollars. International Monetary Fund, International Financial Statistics and data files.
ER.H2O.FWST.ZS Level of water stress: freshwater withdrawal as a proportion of available freshwater resources The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity. Food and Agriculture Organization, AQUASTAT data.
EN.POP.EL5M.UR.ZS Urban population living in areas where elevation is below 5 meters (% of total population) Urban population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
EN.ATM.PM25.MC.ZS PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed. Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
EN.ATM.METH.AG.ZS Agricultural methane emissions (% of total) Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savanna burning. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.CO2E.GF.ZS CO2 emissions from gaseous fuel consumption (% of total) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.ELC.PETR.ZS Electricity production from oil sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DPPG.CD Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.ODA.ALLD.CD Net official development assistance and official aid received (current US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PRVT.CD PPG, private creditors (NFL, current US$) Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.IFAD.CD Net official flows from UN agencies, IFAD (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.DOD.DPPG.CD External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, Public Corporations, State Owned Enterprises, Development Banks and Other Mixed Enterprises, political subdivisions (or an agency of either), autonomous public bodies, and external obligations of private debtors that are guaranteed for repayment by a public entity. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.PRTL.CD Net bilateral aid flows from DAC donors, Portugal (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.ESPL.CD Net bilateral aid flows from DAC donors, Spain (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.INDX.ZG S&P Global Equity Indices (annual % change) S&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P/IFCI and S&P/Frontier BMI country indices. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.
BX.GSR.FCTY.CD Primary income receipts (BoP, current US$) Primary income receipts refer to employee compensation paid to resident workers working abroad and investment income (receipts on direct investment, portfolio investment, other investments, and receipts on reserve assets). Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.CAB.XOKA.GD.ZS Current account balance (% of GDP) Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
BG.GSR.NFSV.GD.ZS Trade in services (% of GDP) Trade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
AG.LND.EL5M.UR.ZS Urban land area where elevation is below 5 meters (% of total land area) Urban land area below 5m is the percentage of total land where the urban land elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
TX.VAL.MRCH.WR.ZS Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TX.VAL.ICTG.ZS.UN ICT goods exports (% of total goods exports) Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
TM.VAL.MRCH.R6.ZS Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.AGRI.ZS.UN Agricultural raw materials imports (% of merchandise imports) Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.TAX.MRCH.BR.ZS Bound rate, simple mean, all products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
ST.INT.TRNX.CD International tourism, expenditures for passenger transport items (current US$) International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.REG.BRTH.RU.ZS Completeness of birth registration, rural (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
SP.POP.80UP.FE.5Y Population ages 80 and above, female (% of female population) Female population between the ages 80 and above as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.5559.FE.5Y Population ages 55-59, female (% of female population) Female population between the ages 55 to 59 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1564.TO Population ages 15-64, total Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.FE.IN Population ages 0-14, female Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.IMRT.FE.IN Mortality rate, infant, female (per 1,000 live births) Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SM.POP.REFG Refugee population by country or territory of asylum Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted. United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.
SL.UEM.INTM.FE.ZS Unemployment with intermediate education, female (% of female labor force with intermediate education) The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.PART.MA.ZS Part time employment, male (% of total male employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ADVN.ZS Labor force with advanced education (% of total working-age population with advanced education) The percentage of the working age population with an advanced level of education who are in the labor force. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.MA.TM Average working hours of children, working only, male, ages 7-14 (hours per week) Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SRV.0714.FE.ZS Child employment in services, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.FAM.0714.FE.ZS Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.SELF.FE.ZS Self-employed, female (% of female employment) (modeled ILO estimate) Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.SPR.PCAP.ZG Annualized average growth rate in per capita real survey mean consumption or income, total population (%) The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations. World Bank, Global Database of Shared Prosperity (GDSP) circa 2011-2016 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
SI.POV.MDIM Multidimensional poverty headcount ratio (% of total population) The percentage of people who are multidimensionally poor Government statistical agencies. Data for EU countires are from the EUROSTAT
SH.XPD.PVTD.CH.ZS Domestic private health expenditure (% of current health expenditure) Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.SRVS.CV.XD UHC service coverage index Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100. World Health Organization, Global Health Observatory Data Repository (https://www.who.int/data/gho).
SH.SVR.WAST.ZS Prevalence of severe wasting, weight for height (% of children under 5) Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.SMSS.RU.ZS People using safely managed sanitation services, rural (% of rural population) The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.STA.MALN.FE.ZS Prevalence of underweight, weight for age, female (% of children under 5) Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.AIRP.FE.P5 Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population) Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.MED.NUMW.P3 Nurses and midwives (per 1,000 people) Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses. World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
SH.HIV.1524.FE.ZS Prevalence of HIV, female (% ages 15-24) Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group. UNAIDS estimates.
SH.DYN.AIDS.ZS Prevalence of HIV, total (% of population ages 15-49) Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. UNAIDS estimates.
SH.CON.1524.MA.ZS Condom use, population ages 15-24, male (% of males ages 15-24) Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months. Demographic and Health Surveys, and UNAIDS.
SG.TIM.UWRK.FE Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day) The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others. National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on December 3 from the Global SDG Indicators Database: https://unstats.un.org/sdgs/indicators/database/
SE.XPD.CPRM.ZS Current education expenditure, primary (% of total expenditure in primary public institutions) Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.BA.MA.ZS Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.FE.ZS Trained teachers in secondary education, female (% of female teachers) Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.GC.FE.ZS Secondary education, general pupils (% female) Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CMPT.LO.FE.ZS Lower secondary completion rate, female (% of relevant age group) Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.REPT.ZS Repeaters, primary, total (% of total enrollment) Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.NENR.MA School enrollment, primary, male (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CMPT.ZS Primary completion rate, total (% of relevant age group) Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.COM.DURS Compulsory education, duration (years) Duration of compulsory education is the number of years that children are legally obliged to attend school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.adq_pop_tot Adequacy of social insurance programs (% of total welfare of beneficiary households) Adequacy of social insurance programs is measured by the total transfer amount received by the population participating in social insurance programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social insurance programs include old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.adq_pop_tot Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) Adequacy of unemployment benefits and active labor market programs (ALMP) is measured by the total transfer amount received by the population participating in unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.GSR.NFCY.KN Net primary income (Net income from abroad) (constant LCU) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.KN GNI (constant LCU) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.PCAP.KD.ZG GDP per capita growth (annual %) Annual percentage growth rate of GDP per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.FCST.KD Gross value added at basic prices (GVA) (constant 2010 US$) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.NNTY.PC.KD Adjusted net national income per capita (constant 2010 US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DKAP.CD Adjusted savings: consumption of fixed capital (current US$) Consumption of fixed capital represents the replacement value of capital used up in the process of production. World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.
NV.MNF.OTHR.ZS.UN Other manufacturing (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
NV.IND.EMPL.KD Industry (including construction), value added per worker (constant 2010 US$) Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Industry corresponds to the International Standard Industrial Classification (ISIC) tabulation categories C-F (revision 3) or tabulation categories B-F (revision 4), and includes mining and quarrying (including oil production), manufacturing, construction, and public utilities (electricity, gas, and water). Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
NE.IMP.GNFS.KN Imports of goods and services (constant LCU) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.KD.ZG Gross fixed capital formation (annual % growth) Average annual growth of gross fixed capital formation based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.TOTL.CD Gross national expenditure (current US$) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
TX.VAL.TECH.CD High-technology exports (current US$) High-technology exports are products with high R&D intensity, such as aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars. United Nations, Comtrade database through the WITS platform.
TX.VAL.MRCH.AL.ZS Merchandise exports to economies in the Arab World (% of total merchandise exports) Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.MRCH.XD.WD Import value index (2000 = 100) Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the import value indexes are derived from import volume indexes (line 73) and corresponding unit value indexes of imports (line 75) in the IMF's International Financial Statistics. United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
TM.VAL.INSF.ZS.WT Insurance and financial services (% of commercial service imports) Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.TAX.MRCH.SR.ZS Share of tariff lines with specific rates, all products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
ST.INT.XPND.MP.ZS International tourism, expenditures (% of total imports) International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Their share in imports is calculated as a ratio to imports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank imports estimates.
SP.RUR.TOTL Rural population Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages. World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
SP.POP.DPND.OL Age dependency ratio, old (% of working-age population) Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.6569.FE.5Y Population ages 65-69, female (% of female population) Female population between the ages 65 to 69 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.2529.FE.5Y Population ages 25-29, female (% of female population) Female population between the ages 25 to 29 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.TO Population ages 0-14, total Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.LE00.IN Life expectancy at birth, total (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SN.ITK.DEFC.ZS Prevalence of undernourishment (% of population) Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%. Food and Agriculture Organization (http://www.fao.org/publications/en/).
SL.UEM.NEET.MA.ZS Share of youth not in education, employment or training, male (% of male youth population) Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.FE.NE.ZS Unemployment, youth female (% of female labor force ages 15-24) (national estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.FE.NE.ZS Labor force participation rate, female (% of female population ages 15+) (national estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.ZS Children in employment, total (% of children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SRV.EMPL.MA.ZS Employment in services, male (% of male employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.FAM.WORK.MA.ZS Contributing family workers, male (% of male employment) (modeled ILO estimate) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.FE.NE.ZS Employment to population ratio, 15+, female (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.EMPL.FE.ZS Employment in agriculture, female (% of female employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.MDIM.HH Multidimensional poverty headcount ratio, household (% of total households) The percentage of households who are multidimensionally poor Government statistical agencies. Data for EU countires are from the EUROSTAT
SI.DST.03RD.20 Income share held by third 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.CHEX.PP.CD Current health expenditure per capita, PPP (current international $) Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP time series based on ICP2011 PPP). World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP1.CG Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.STNT.MA.ZS Prevalence of stunting, height for age, male (% of children under 5) Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.MMRT.NE Maternal mortality ratio (national estimate, per 100,000 live births) Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites. [https://www.who.int/reproductivehealth/publications/maternal-mortality-2000-2017/en/]
SH.STA.ARIC.ZS ARI treatment (% of children under 5 taken to a health provider) Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.MLR.NETS.ZS Use of insecticide-treated bed nets (% of under-5 population) Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.HIV.INCD.14 Children (ages 0-14) newly infected with HIV Number of children (ages 0-14) newly infected with HIV. UNAIDS estimates.
SH.DYN.NCOM.FE.ZS Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%) Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.DTH.2024 Number of deaths ages 20-24 years Number of deaths of youths ages 20-24 years Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.VAW.BURN.ZS Women who believe a husband is justified in beating his wife when she burns the food (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
SE.XPD.PRIM.PC.ZS Government expenditure per student, primary (% of GDP per capita) Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.DO.ZS Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed Doctoral or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.MA.ZS Trained teachers in secondary education, male (% of male teachers) Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.VO Secondary education, vocational pupils Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.LO.MA.ZS Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TCHR Primary education, teachers Primary education teachers includes full-time and part-time teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.OENR.FE.ZS Over-age students, primary, female (% of female enrollment) Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.DURS Primary education, duration (years) Primary duration refers to the number of grades (years) in primary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ENR.TERT.FM.ZS School enrollment, tertiary (gross), gender parity index (GPI) Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.cov_q2_tot Coverage of social insurance programs in 2nd quintile (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_q2_tot Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TRF.NCTR.CD Net secondary income (Net current transfers from abroad) (current US$) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.PCAP.CN GNI per capita (current LCU) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.PETR.RT.ZS Oil rents (% of GDP) Oil rents are the difference between the value of crude oil production at world prices and total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.GDP.MKTP.CD GDP (current US$) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.SVNX.CD Adjusted net savings, excluding particulate emission damage (current US$) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DNGY.CD Adjusted savings: energy depletion (current US$) Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.SRV.TOTL.CD Services, value added (current US$) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.MANF.KD.ZG Manufacturing, value added (annual % growth) Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. World Bank national accounts data, and OECD National Accounts data files.
NE.RSB.GNFS.KN External balance on goods and services (constant LCU) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.STKB.CN Changes in inventories (current LCU) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.TOTL.ZS Gross national expenditure (% of GDP) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.PC.KD Households and NPISHs Final consumption expenditure per capita (constant 2010 US$) Household final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2010 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
MS.MIL.XPND.CN Military expenditure (current LCU) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.) Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
IT.NET.SECR Secure Internet servers The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey. Netcraft (http://www.netcraft.com/)
IQ.SCI.PRDC Periodicity and timeliness assessment of statistical capacity (scale 0 - 100) The periodicity and timeliness indicator assesses the availability and periodicity of key socioeconomic indicators. It measures the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. The periodicity score is calculated as the weighted average of 10 underlying indicator scores. The final periodicity score contributes 1/3 of the overall Statistical Capacity Indicator score. World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
IQ.CPA.GNDR.XQ CPIA gender equality rating (1=low to 6=high) Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law. World Bank Group, CPIA database (http://www.worldbank.org/ida).
LP.IMP.DURS.MD Lead time to import, median case (days) Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IS.AIR.PSGR Air transport, passengers carried Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
IQ.CPA.PADM.XQ CPIA quality of public administration rating (1=low to 6=high) Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.TMK.NRCT Trademark applications, nonresident, by count Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.TAX.TOTL.CP.ZS Total tax and contribution rate (% of profit) Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.REG.COST.PC.FE.ZS Cost of business start-up procedures, female (% of GNI per capita) Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.INFM.ZS Firms that do not report all sales for tax purposes (% of firms) Firms that do not report all sales for tax purposes are the percentage of firms that expressed that a typical firm reports less than 100 percent of sales for tax purposes; such firms are termed "informal firms." World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.ELC.OUTG.ZS Firms experiencing electrical outages (% of firms) Percent of firms experiencing electrical outages during the previous fiscal year. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
HD.HCI.OVRL.LB.MA Human Capital Index (HCI), Male, Lower Bound (scale 0-1) The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.GSRV.CN Goods and services expense (current LCU) Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.GSRV.CN Taxes on goods and services (current LCU) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.DOD.TOTL.CN Central government debt, total (current LCU) Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FS.AST.CGOV.GD.ZS Claims on central government, etc. (% GDP) Claims on central government (IFS line 52AN or 32AN) include loans to central government institutions net of deposits. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FM.AST.DOMS.CN Net domestic credit (current LCU) Net domestic credit is the sum of net claims on the central government and claims on other sectors of the domestic economy (IFS line 32). Data are in current local currency. International Monetary Fund, International Financial Statistics and data files.
ER.MRN.PTMR.ZS Marine protected areas (% of territorial waters) Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
EN.URB.MCTY.TL.ZS Population in urban agglomerations of more than 1 million (% of total population) Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2018 had a population of more than one million people. United Nations, World Urbanization Prospects.
EN.CO2.BLDG.ZS CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activities of ISIC Divisions 41, 50-52, 55, 63-67, 70-75, 80, 85, 90-93 and 99. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EN.ATM.NOXE.AG.ZS Agricultural nitrous oxide emissions (% of total) Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savanna burning. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.CO2E.PP.GD CO2 emissions (kg per PPP $ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.GDP.PUSE.KO.PP.KD GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2017 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.EGY.PRIM.PP.KD Energy intensity level of primary energy (MJ/$2011 PPP GDP) Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output. World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
DT.ODA.ODAT.GN.ZS Net ODA received (% of GNI) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GNI estimates are used for the denominator.
DT.NFL.UNDP.CD Net official flows from UN agencies, UNDP (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.MLAT.CD Net financial flows, multilateral (NFL, current US$) Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.MIDA.CD PPG, IDA (DOD, current US$) Public and publicly guaranteed debt outstanding from the International Development Association (IDA) is concessional. Concessional debt is defined as loans with an original grant element of 35 percent or more. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 5 percent. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.ODA.TLDC.CD Net ODA provided, to the least developed countries (current US$) Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
DC.DAC.IRLL.CD Net bilateral aid flows from DAC donors, Ireland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.TRNR Stocks traded, turnover ratio of domestic shares (%) Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12. World Federation of Exchanges database.
BX.GSR.TOTL.CD Exports of goods, services and primary income (BoP, current US$) Exports of goods, services and primary income is the sum of goods exports, service exports and primary income receipts. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.KLT.DINV.CD Foreign direct investment, net (BoP, current US$) Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net FDI. In BPM6, financial account balances are calculated as the change in assets minus the change in liabilities. Net FDI outflows are assets and net FDI inflows are liabilities. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.NFSV.CD Service imports (BoP, current US$) Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.TOTL.K2 Land area (sq. km) Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. Food and Agriculture Organization, electronic files and web site.
AG.LND.AGRI.K2 Agricultural land (sq. km) Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops. Food and Agriculture Organization, electronic files and web site.
TX.VAL.OTHR.ZS.WT Computer, communications and other services (% of commercial service exports) Computer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TX.VAL.MANF.ZS.UN Manufactures exports (% of merchandise exports) Manufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.VAL.MRCH.WL.CD Merchandise imports by the reporting economy (current US$) Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.VAL.FUEL.ZS.UN Fuel imports (% of merchandise imports) Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.TAX.MRCH.SM.AR.ZS Tariff rate, applied, simple mean, all products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
ST.INT.TVLX.CD International tourism, expenditures for travel items (current US$) International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars. World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
SP.REG.BRTH.ZS Completeness of birth registration (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
SP.POP.BRTH.MF Sex ratio at birth (male births per female births) Sex ratio at birth refers to male births per female births. The data are 5 year averages. United Nations Population Division. World Population Prospects: 2019 Revision.
SP.POP.6064.FE.5Y Population ages 60-64, female (% of female population) Female population between the ages 60 to 64 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.2024.FE.5Y Population ages 20-24, female (% of female population) Female population between the ages 20 to 24 as a percentage of the total female population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.MA.IN Population ages 0-14, male Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.IMRT.MA.IN Mortality rate, infant, male (per 1,000 live births) Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SM.POP.TOTL International migrant stock, total International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data. United Nations Population Division, Trends in Total Migrant Stock: 2012 Revision.
SL.UEM.INTM.ZS Unemployment with intermediate education (% of total labor force with intermediate education) The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.TOTL.FE.ZS Labor force, female (% of total labor force) Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on January 29, 2021.
SL.TLF.BASC.MA.ZS Labor force with basic education, male (% of male working-age population with basic education) The percentage of the working age population with a basic level of education who are in the labor force. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.WK.TM Average working hours of children, working only, ages 7-14 (hours per week) Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.SRV.0714.ZS Child employment in services (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.FAM.0714.ZS Children in employment, unpaid family workers (% of children in employment, ages 7-14) Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.EMP.SELF.ZS Self-employed, total (% of total employment) (modeled ILO estimate) Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.0714.MA.ZS Child employment in agriculture, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SI.POV.MDIM.17.XQ Multidimensional poverty index, children (population ages 0-17) (scale 0-1) Proportion of the child population that is multidimensionally poor adjusted by the intensity of the deprivations Government statistical agencies. Data for EU countires are from the EUROSTAT
SH.XPD.PVTD.PP.CD Domestic private health expenditure per capita, PPP (current international $) Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP time series based on ICP2011 PPP). World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.XPD.CHEX.GD.ZS Current health expenditure (% of GDP) Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.TBS.DTEC.ZS Tuberculosis case detection rate (%, all forms) Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously. World Health Organization, Global Tuberculosis Report.
SH.STA.SMSS.ZS People using safely managed sanitation services (% of population) The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.STA.MALN.ZS Prevalence of underweight, weight for age (% of children under 5) Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.AIRP.P5 Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.MED.SAOP.P5 Specialist surgical workforce (per 100,000 population) Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population. Data collected by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org); Data collected by WHO Collaborating Centre for Surgery and Public Health at Lund University from various sources including Ministries of Health or equivalent national regulatory bodies, national official entities such as medical councils, Eurostat, OECD, WHO Euro Health For All Database, WHO EURO Technical resources for health Database; BMJ Glob Health.
SH.HIV.ARTC.ZS Antiretroviral therapy coverage (% of people living with HIV) Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy. UNAIDS estimates.
SH.DYN.MORT.FE Mortality rate, under-5, female (per 1,000 live births) Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SH.DTH.1014 Number of deaths ages 10-14 years Number of deaths of adolescents ages 10-14 years Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
SG.VAW.1549.ZS Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of women age 15-49) Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months. United Nations Statistics Division (UNSD)
SE.XPD.CTER.ZS Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration). UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.TER.CUAT.DO.FE.ZS Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed Doctoral or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.LO.MA.ZS Trained teachers in lower secondary education, male (% of male teachers) Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.TC.ZS Pupil-teacher ratio, secondary Secondary school pupil-teacher ratio is the average number of pupils per teacher in secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CMPT.LO.ZS Lower secondary completion rate, total (% of relevant age group) Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TCAQ.MA.ZS Trained teachers in primary education, male (% of male teachers) Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.NINT.MA.ZS Net intake rate in grade 1, male (% of official school-age population) Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.CUAT.MA.ZS Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ENR.PRSC.FM.ZS School enrollment, primary and secondary (gross), gender parity index (GPI) Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.cov_pop_tot Coverage of social insurance programs (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_pop_tot Coverage of unemployment benefits and ALMP (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TAX.NIND.CN Taxes less subsidies on products (current LCU) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.MKTP.PP.KD GNI, PPP (constant 2017 international $) PPP GNI (formerly PPP GNP) is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2017 international dollars. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.PCAP.PP.CD GDP per capita, PPP (current international $) This indicator provides per capita values for gross domestic product (GDP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries. Total population is a mid-year population based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDP.FRST.RT.ZS Forest rents (% of GDP) Forest rents are roundwood harvest times the product of average prices and a region-specific rental rate. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.ADJ.SVNG.CD Adjusted net savings, including particulate emission damage (current US$) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DMIN.CD Adjusted savings: mineral depletion (current US$) Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.MNF.TXTL.ZS.UN Textiles and clothing (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
NV.IND.MANF.CN Manufacturing, value added (current LCU) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.RSB.GNFS.CD External balance on goods and services (current US$) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.FTOT.ZS Gross fixed capital formation (% of GDP) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. World Bank national accounts data, and OECD National Accounts data files.
NE.DAB.TOTL.KD Gross national expenditure (constant 2010 US$) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.KD.ZG Households and NPISHs Final consumption expenditure (annual % growth) Annual percentage growth of household final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. World Bank national accounts data, and OECD National Accounts data files.
MS.MIL.TOTL.TF.ZS Armed forces personnel (% of total labor force) Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population. International Institute for Strategic Studies, The Military Balance.
LP.LPI.OVRL.XQ Logistics performance index: Overall (1=low to 5=high) Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
IS.SHP.GOOD.TU Container port traffic (TEU: 20 foot equivalent units) Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units. UNCTAD (http://unctad.org/en/Pages/statistics.aspx)
IQ.CPA.REVN.XQ CPIA efficiency of revenue mobilization rating (1=low to 6=high) Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IQ.CPA.BREG.XQ CPIA business regulatory environment rating (1=low to 6=high) Business regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IE.PPI.TRAN.CD Investment in transport with private participation (current US$) Investment in transport projects with private participation refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.REG.DURS.MA Time required to start a business, male (days) Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.TRNG.ZS Firms offering formal training (% of firms) Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.EXP.TMDC Time to export, documentary compliance (hours) Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.BUS.DFRN.XQ Ease of doing business score (0 = lowest performance to 100 = best performance) Distance to frontier score illustrates the distance of an economy to the "frontier," which represents the best performance observed on each Doing Business topic across all economies and years included since 2005. An economy's distance to frontier is indicated on a scale from 0 to 100, where 0 represents the lowest performance and 100 the frontier. For example, a score of 75 in 2012 means an economy was 25 percentage points away from the frontier constructed from the best performances across all economies and across time. A score of 80 in 2013 would indicate the economy is improving. World Bank, Doing Business project (http://www.doingbusiness.org/).
GC.XPN.OTHR.CN Other expense (current LCU) Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.INTT.CN Taxes on international trade (current LCU) Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.NFN.TOTL.GD.ZS Net investment in nonfinancial assets (% of GDP) Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.60.ZS Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (richest 60%, share of population ages 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FM.LBL.BMNY.GD.ZS Broad money (% of GDP) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
FB.CBK.BRCH.P5 Commercial bank branches (per 100,000 adults) Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legally separated subsidiaries. International Monetary Fund, Financial Access Survey.
ER.FSH.PROD.MT Total fisheries production (metric tons) Total fisheries production measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included. Food and Agriculture Organization.
EN.FSH.THRD.NO Fish species, threatened Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org.
EN.ATM.PFCG.KT.CE PFC gas emissions (thousand metric tons of CO2 equivalent) Perfluorocarbons, used as a replacement for chlorofluorocarbons in manufacturing semiconductors, are a byproduct of aluminum smelting and uranium enrichment. European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
EN.ATM.GHGO.ZG Other greenhouse gas emissions (% change from 1990) Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. Each year of data shows the percentage change to that year from 1990. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EG.USE.CRNW.ZS Combustible renewables and waste (% of total energy) Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste, measured as a percentage of total energy use. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.FOSL.ZS Electricity production from oil, gas and coal sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. Gas refers to natural gas but excludes natural gas liquids. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.TDS.DECT.CD Debt service on external debt, total (TDS, current US$) Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.UNRW.CD Net official flows from UN agencies, UNRWA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PCBK.CD PPG, commercial banks (NFL, current US$) Public and publicly guaranteed commercial bank loans from private banks and other private financial institutions. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.NFL.BLAT.CD Net financial flows, bilateral (NFL, current US$) Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DECT.CD External debt stocks, total (DOD, current US$) Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DC.DAC.LUXL.CD Net bilateral aid flows from DAC donors, Luxembourg (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.CECL.CD Net bilateral aid flows from DAC donors, European Union institutions (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.PEF.TOTL.CD.WD Portfolio equity, net inflows (BoP, current US$) Portfolio equity includes net inflows from equity securities other than those recorded as direct investment and including shares, stocks, depository receipts (American or global), and direct purchases of shares in local stock markets by foreign investors. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments database, and World Bank, International Debt Statistics.
BX.GRT.EXTA.CD.WD Grants, excluding technical cooperation (BoP, current US$) Grants are defined as legally binding commitments that obligate a specific value of funds available for disbursement for which there is no repayment requirement. Data are in current U.S. dollars. World Bank, International Debt Statistics, and OECD.
BM.KLT.DINV.CD.WD Foreign direct investment, net outflows (BoP, current US$) Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
AG.PRD.CROP.XD Crop production index (2004-2006 = 100) Crop production index shows agricultural production for each year relative to the base period 2004-2006. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base period 2004-2006. Food and Agriculture Organization, electronic files and web site.
AG.LND.CREL.HA Land under cereal production (hectares) Land under cereal production refers to harvested area, although some countries report only sown or cultivated area. Cereals include wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. Food and Agriculture Organization, electronic files and web site.
NE.CON.PRVT.PP.CD Households and NPISHs Final consumption expenditure, PPP (current international $) This indicator provides values for households and NPISHs final consumption expenditure expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “Households and NPISHs final consumption expenditure: linked series (current LCU)” [NE.CON.PRVT.CN.AD] is used as underlying expenditure in local currency unit so that it’s in line with time series of PPP conversion factor, private consumption (LCU per international $), which are extrapolated with linked CPI. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
MS.MIL.XPND.ZS Military expenditure (% of general government expenditure) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.) Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
IT.NET.USER.ZS Individuals using the Internet (% of population) Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc. International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IS.AIR.DPRT Air transport, registered carrier departures worldwide Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
IQ.CPA.IRAI.XQ IDA resource allocation index (1=low to 6=high) IDA Resource Allocation Index is obtained by calculating the average score for each cluster and then by averaging those scores. For each of 16 criteria countries are rated on a scale of 1 (low) to 6 (high). World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.PAT.NRES Patent applications, nonresidents Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IC.TAX.PAYM Tax payments (number) Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.PRP.DURS Time required to register property (days) Time required to register property is the number of calendar days needed for businesses to secure rights to property. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.FEMO.ZS Firms with female participation in ownership (% of firms) Firms with female participation in ownership are the percentage of firms with a woman among the principal owners. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.ELC.DURS Time to obtain an electrical connection (days) The average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
HD.HCI.OVRL.LB Human Capital Index (HCI), Lower Bound (scale 0-1) The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.COMP.CN Compensation of employees (current LCU) Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.EXPT.CN Taxes on exports (current LCU) Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from these taxes, not from amounts receivable from export taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.AST.TOTL.CN Net acquisition of financial assets (current LCU) Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FR.INR.RINR Real interest rate (%) Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
FM.AST.CGOV.ZG.M3 Claims on central government (annual growth as % of broad money) Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits. International Monetary Fund, International Financial Statistics and data files.
ER.H2O.INTR.PC Renewable internal freshwater resources per capita (cubic meters) Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population estimates. Food and Agriculture Organization, AQUASTAT data.
EN.URB.LCTY.UR.ZS Population in the largest city (% of urban population) Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area. United Nations, World Urbanization Prospects.
EN.CLC.GHGR.MT.CE GHG net emissions/removals by LUCF (Mt of CO2 equivalent) GHG net emissions/removals by LUCF refers to changes in atmospheric levels of all greenhouse gases attributable to forest and land-use change activities, including but not limited to (1) emissions and removals of CO2 from decreases or increases in biomass stocks due to forest management, logging, fuelwood collection, etc.; (2) conversion of existing forests and natural grasslands to other land uses; (3) removal of CO2 from the abandonment of formerly managed lands (e.g. croplands and pastures); and (4) emissions and removals of CO2 in soil associated with land-use change and management. For Annex-I countries under the UNFCCC, these data are drawn from the annual GHG inventories submitted to the UNFCCC by each country; for non-Annex-I countries, data are drawn from the most recently submitted National Communication where available. Because of differences in reporting years and methodologies, these data are not generally considered comparable across countries. Data are in million metric tons. United Nations Framework Convention on Climate Change.
EN.ATM.METH.ZG Methane emissions (% change from 1990) Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. Each year of data shows the percentage change to that year from 1990. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.CO2E.LF.ZS CO2 emissions from liquid fuel consumption (% of total) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
EG.FEC.RNEW.ZS Renewable energy consumption (% of total final energy consumption) Renewable energy consumption is the share of renewables energy in total final energy consumption. World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
DT.TDS.MLAT.PG.ZS Multilateral debt service (% of public and publicly guaranteed debt service) Multilateral debt service is the repayment of principal and interest to the World Bank, regional development banks, and other multilateral agencies. public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. World Bank, International Debt Statistics.
DT.ODA.ODAT.CD Net official development assistance received (current US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.UNCF.CD Net official flows from UN agencies, UNICEF (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.MIBR.CD Net financial flows, IBRD (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IBRD is the International Bank for Reconstruction and Development, the founding and largest member of the World Bank Group. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.DSTC.ZS Short-term debt (% of total external debt) Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. World Bank, International Debt Statistics.
DC.DAC.TOTL.CD Net bilateral aid flows from DAC donors, Total (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.GRCL.CD Net bilateral aid flows from DAC donors, Greece (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
CM.MKT.TRAD.CD Stocks traded, total value (current US$) The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates. World Federation of Exchanges database.
BX.GSR.NFSV.CD Service exports (BoP, current US$) Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BN.GSR.MRCH.CD Net trade in goods (BoP, current US$) Net trade in goods is the difference between exports and imports of goods. Trade in services is not included. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.INSF.ZS Insurance and financial services (% of service imports, BoP) Insurance and financial services cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and nonresidents. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.LND.IRIG.AG.ZS Agricultural irrigated land (% of total agricultural land) Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding. Food and Agriculture Organization, electronic files and web site.
AG.CON.FERT.PT.ZS Fertilizer consumption (% of fertilizer production) Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has adopted the concept of a calendar year (January to December). Some countries compile fertilizer data on a calendar year basis, while others are on a split-year basis. Food and Agriculture Organization, electronic files and web site.
TX.VAL.TECH.MF.ZS High-technology exports (% of manufactured exports) High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. United Nations, Comtrade database through the WITS platform.
TX.VAL.MRCH.CD.WT Merchandise exports (current US$) Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars. World Trade Organization.
TM.VAL.OTHR.ZS.WT Computer, communications and other services (% of commercial service imports) Computer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
TM.VAL.MANF.ZS.UN Manufactures imports (% of merchandise imports) Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals). World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
TM.TAX.MRCH.WM.AR.ZS Tariff rate, applied, weighted mean, all products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
TG.VAL.TOTL.GD.ZS Merchandise trade (% of GDP) Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars. World Trade Organization, and World Bank GDP estimates.
SP.RUR.TOTL.ZG Rural population growth (annual %) Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
SP.POP.DPND.YG Age dependency ratio, young (% of working-age population) Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.6569.MA.5Y Population ages 65-69, male (% of male population) Male population between the ages 65 to 69 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.2529.MA.5Y Population ages 25-29, male (% of male population) Male population between the ages 25 to 29 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.0014.TO.ZS Population ages 0-14 (% of total population) Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.LE00.MA.IN Life expectancy at birth, male (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SN.ITK.MSFI.ZS Prevalence of moderate or severe food insecurity in the population (%) The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources. Food and Agriculture Organization of the United Nations (FAO)
SL.UEM.NEET.ZS Share of youth not in education, employment or training, total (% of youth population) Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.FE.ZS Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.FE.ZS Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.FE.NE.ZS Labor force participation rate for ages 15-24, female (%) (national estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.SRV.EMPL.ZS Employment in services (% of total employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.FAM.WORK.ZS Contributing family workers, total (% of total employment) (modeled ILO estimate) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.FE.ZS Employment to population ratio, 15+, female (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.AGR.EMPL.MA.ZS Employment in agriculture, male (% of male employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.MDIM.IT Multidimensional poverty intensity (average share of deprivations experienced by the poor) The average percentage of dimensions in which poor people are deprived Government statistical agencies. Data for EU countires are from the EUROSTAT
SI.DST.04TH.20 Income share held by fourth 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.EHEX.CH.ZS External health expenditure (% of current health expenditure) Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP1.TO Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of households experiencing impoverishing expenditures, defined as expenditures without which the household would have been above the $1.90 poverty line, but because of the expenditures is below the poverty line. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.STNT.ZS Prevalence of stunting, height for age (% of children under 5) Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006. UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
SH.STA.ODFC.RU.ZS People practicing open defecation, rural (% of rural population) People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).
SH.STA.BASS.RU.ZS People using at least basic sanitation services, rural (% of rural population) The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.MLR.TRET.ZS Children with fever receiving antimalarial drugs (% of children under age 5 with fever) Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.HIV.INCD.TL Adults (ages 15+) and children (ages 0-14) newly infected with HIV Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV. UNAIDS estimates.
SH.DYN.NCOM.MA.ZS Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%) Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SH.DTH.COMM.ZS Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting. Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
SG.VAW.GOES.ZS Women who believe a husband is justified in beating his wife when she goes out without telling him (%) Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.
SE.XPD.PRIM.ZS Expenditure on primary education (% of government expenditure on education) Expenditure on primary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.MS.FE.ZS Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed Master's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCAQ.UP.FE.ZS Trained teachers in upper secondary education, female (% of female teachers) Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.ENRL.VO.FE.ZS Secondary education, vocational pupils (% female) Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.LO.ZS Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed lower secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.TCHR.FE.ZS Primary education, teachers (% female) Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.OENR.MA.ZS Over-age students, primary, male (% of male enrollment) Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.PRM.ENRL Primary education, pupils Primary education pupils is the total number of pupils enrolled at primary level in public and private schools. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRE.DURS Preprimary education, duration (years) Preprimary duration refers to the number of grades (years) in preprimary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_si_allsi.cov_q3_tot Coverage of social insurance programs in 3rd quintile (% of population) Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
per_lm_alllm.cov_q3_tot Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
NY.TRF.NCTR.CN Net secondary income (Net current transfers from abroad) (current LCU) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GNP.PCAP.KD GNI per capita (constant 2010 US$) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.TOTL.RT.ZS Total natural resources rents (% of GDP) Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
NY.GDP.MKTP.CN GDP (current LCU) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.ADJ.SVNX.GN.ZS Adjusted net savings, excluding particulate emission damage (% of GNI) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NY.ADJ.DNGY.GN.ZS Adjusted savings: energy depletion (% of GNI) Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
NV.SRV.TOTL.CN Services, value added (current LCU) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.MANF.KN Manufacturing, value added (constant LCU) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.STKB.KN Changes in inventories (constant LCU) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.CD Exports of goods and services (current US$) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.PRVT.PC.KD.ZG Households and NPISHs Final consumption expenditure per capita growth (annual %) Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. World Bank national accounts data, and OECD National Accounts data files.
MS.MIL.XPND.GD.ZS Military expenditure (% of GDP) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.) Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
IT.NET.SECR.P6 Secure Internet servers (per 1 million people) The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey. Netcraft (http://www.netcraft.com/) and World Bank population estimates.
IQ.SCI.SRCE Source data assessment of statistical capacity (scale 0 - 100) The source data indicator reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available. The source data score is calculated as the weighted average of 5 underlying indicator scores. The final source data score contributes 1/3 of the overall Statistical Capacity Indicator score. World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
IQ.CPA.HRES.XQ CPIA building human resources rating (1=low to 6=high) Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IS.SHP.GCNW.XQ Liner shipping connectivity index (maximum value in 2004 = 100) The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country's ports. For each component a country's value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online. United Nations Conference on Trade and Development, Review of Maritime Transport 2010.
IQ.CPA.PUBS.XQ CPIA public sector management and institutions cluster average (1=low to 6=high) The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability, and corruption in the public sector. World Bank Group, CPIA database (http://www.worldbank.org/ida).
IP.TMK.TOTL Trademark applications, total Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
IE.PPI.ICTI.CD Investment in ICT with private participation (current US$) Investment in ICT projects with private participation refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data are in current U.S. dollars and available 2015 onwards only. World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
IC.REG.DURS.FE Time required to start a business, female (days) Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).
IC.FRM.THEV.ZS Firms experiencing losses due to theft and vandalism (% of firms) Percent of firms experiencing losses due to theft, robbery, vandalism or arson that occurred on the establishment's premises. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
IC.EXP.TMBC Time to export, border compliance (hours) Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies. World Bank, Doing Business project (http://www.doingbusiness.org/).
HD.HCI.OVRL.UB.MA Human Capital Index (HCI), Male, Upper Bound (scale 0-1) The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful. World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
GC.XPN.INTP.ZS Interest payments (% of expense) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.TAX.IMPT.ZS Customs and other import duties (% of tax revenue) Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or services. International Monetary Fund, Government Finance Statistics Yearbook and data files.
GC.NFN.TOTL.CN Net investment in nonfinancial assets (current LCU) Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.
FX.OWN.TOTL.40.ZS Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (poorest 40%, share of population ages 15+). Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.
FM.LBL.BMNY.CN Broad money (current LCU) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper. International Monetary Fund, International Financial Statistics and data files.
FB.BNK.CAPA.ZS Bank capital to assets ratio (%) Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. International Monetary Fund, Financial Soundness Indicators.
ER.FSH.CAPT.MT Capture fisheries production (metric tons) Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational and subsistence purposes. Food and Agriculture Organization.
EN.CO2.TRAN.ZS CO2 emissions from transport (% of total fuel combustion) CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC Source/Sink Category 1 A 3. In addition, the IEA data are not collected in a way that allows the autoproducer consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EN.ATM.NOXE.ZG Nitrous oxide emissions (% change from 1990) Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. Each year of data shows the percentage change to that year from 1990. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EN.ATM.GHGO.KT.CE Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
EG.USE.COMM.GD.PP.KD Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP) Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. PPP GDP is gross domestic product converted to 2017 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
EG.ELC.COAL.ZS Electricity production from coal sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category. IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
DT.ODA.ODAT.XP.ZS Net ODA received (% of central government expense) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. IMF central government expense estimates are used for the denominator.
DT.NFL.UNPB.CD Net official flows from UN agencies, UNPBF (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DT.NFL.PBND.CD PPG, bonds (NFL, current US$) Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars. World Bank, International Debt Statistics.
DT.DOD.PVLX.GN.ZS Present value of external debt (% of GNI) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The GNI denominator is a three-year average. World Bank, International Debt Statistics.
DC.ODA.TOTL.KD Net ODA provided, total (constant 2015 US$) Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. Data are in constant 2016 U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
DC.DAC.KORL.CD Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
DC.DAC.CANL.CD Net bilateral aid flows from DAC donors, Canada (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars. Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
BX.KLT.DINV.WD.GD.ZS Foreign direct investment, net inflows (% of GDP) Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP. International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
BN.TRF.KOGT.CD Net capital account (BoP, current US$) Net capital account records acquisitions and disposals of nonproduced nonfinancial assets, such as land sold to embassies and sales of leases and licenses, as well as capital transfers, including government debt forgiveness. The use of the term capital account in this context is designed to be consistent with the System of National Accounts, which distinguishes between capital transactions and financial transactions. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
BM.GSR.TRVL.ZS Travel services (% of service imports, BoP) Travel covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Travel includes local transport (i.e., transport within the economy being visited and provided by a resident of that economy), but excludes international transport (which is included in passenger transport. Travel also excludes goods for resale, which are included in general merchandise. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.PRD.CREL.MT Cereal production (metric tons) Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. Food and Agriculture Organization, electronic files and web site.
AG.LND.ARBL.ZS Arable land (% of land area) Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Food and Agriculture Organization, electronic files and web site.
VC.IDP.NWCV Internally displaced persons, new displacement associated with conflict and violence (number of cases) Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once. The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
TX.VAL.MRCH.R2.ZS Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TT.PRI.MRCH.XD.WD Net barter terms of trade index (2000 = 100) Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna­tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights. United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
TM.VAL.MRCH.HI.ZS Merchandise imports from high-income economies (% of total merchandise imports) Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
TM.TAX.TCOM.IP.ZS Share of tariff lines with international peaks, primary products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals). World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
TM.TAX.MANF.IP.ZS Share of tariff lines with international peaks, manufactured products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
SP.URB.TOTL.IN.ZS Urban population (% of total population) Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division. United Nations Population Division. World Urbanization Prospects: 2018 Revision.
SP.POP.TOTL Population, total Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates. (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
SP.POP.65UP.MA.ZS Population ages 65 and above, male (% of male population) Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.3539.MA.5Y Population ages 35-39, male (% of male population) Male population between the ages 35 to 39 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.POP.1014.MA.5Y Population ages 10-14, male (% of male population) Male population between the ages 10 to 14 as a percentage of the total male population. World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
SP.DYN.WFRT Wanted fertility rate (births per woman) Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided. Demographic and Health Surveys.
SP.ADO.TFRT Adolescent fertility rate (births per 1,000 women ages 15-19) Adolescent fertility rate is the number of births per 1,000 women ages 15-19. United Nations Population Division, World Population Prospects.
SL.UEM.TOTL.MA.ZS Unemployment, male (% of male labor force) (modeled ILO estimate) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.UEM.1524.ZS Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.CACT.MA.ZS Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.ACTI.1524.NE.ZS Labor force participation rate for ages 15-24, total (%) (national estimate) Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.TLF.0714.SW.FE.ZS Children in employment, study and work, female (% of female children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
SL.IND.EMPL.ZS Employment in industry (% of total employment) (modeled ILO estimate) Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4). International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.TOTL.SP.ZS Employment to population ratio, 15+, total (%) (modeled ILO estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SL.EMP.1524.SP.MA.NE.ZS Employment to population ratio, ages 15-24, male (%) (national estimate) Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population. International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.
SI.POV.UMIC Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population) Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SI.DST.FRST.10 Income share held by lowest 10% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
SH.XPD.GHED.GD.ZS Domestic general government health expenditure (% of GDP) Public expenditure on health from domestic sources as a share of the economy as measured by GDP. World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
SH.UHC.NOP2.TO Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of households experiencing impoverishing expenditures, defined as expenditures without which the household would have been above the $1.90 poverty line, but because of the expenditures is below the poverty line. World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.
SH.STA.TRAF.P5 Mortality caused by road traffic injury (per 100,000 people) Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population. World Health Organization, Global Status Report on Road Safety 2018 through Global Health Observatory data repository.
SH.STA.ORTH Diarrhea treatment (% of children under 5 who received ORS packet) Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids). UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.STA.BRTC.ZS Births attended by skilled health staff (% of total) Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
SH.PRG.ANEM Prevalence of anemia among pregnant women (%) Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level. World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
SH.HIV.INCD.ZS Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period. UNAIDS estimates.
SH.H2O.BASW.RU.ZS People using at least basic drinking water services, rural (% of rural population) The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
SH.DTH.NCOM.ZS Cause of death, by non-communicable diseases (% of total) Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies. Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
SH.ALC.PCAP.FE.LI Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age) Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption. World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
SE.XPD.TERT.ZS Expenditure on tertiary education (% of government expenditure on education) Expenditure on tertiary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.TER.CUAT.ST.MA.ZS Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) The percentage of population ages 25 and over that attained or completed short-cycle tertiary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.TCHR Secondary education, teachers Secondary education teachers includes full-time and part-time teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.SEC.NENR School enrollment, secondary (% net) Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
SE.SEC.CUAT.UP.FE.ZS Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) The percentage of population ages 25 and over that attained or completed upper secondary education. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.UNER Children out of school, primary Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.PRS5.MA.ZS Persistence to grade 5, male (% of cohort) Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRM.ENRR.FE School enrollment, primary, female (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.PRE.ENRR.MA School enrollment, preprimary, male (% gross) Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
SE.ADT.1524.LT.FE.ZS Literacy rate, youth female (% of females ages 15-24) Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020.
per_sa_allsa.ben_q1_tot Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) Benefit incidence of social safety net programs to poorest quintile shows the percentage of total social safety net benefits received by the poorest 20% of the population. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries. ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
PA.NUS.FCRF Official exchange rate (LCU per US$, period average) Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar). International Monetary Fund, International Financial Statistics.
NY.GNP.PCAP.PP.KD GNI per capita, PPP (constant 2017 international $) GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2017 international dollars. International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
NY.GDY.TOTL.KN Gross domestic income (constant LCU) Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.MKTP.KN GDP (constant LCU) GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NY.GDP.DEFL.KD.ZG.AD Inflation, GDP deflator: linked series (annual %) Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
NY.ADJ.ICTR.GN.ZS Adjusted savings: gross savings (% of GNI) Gross savings are the difference between gross national income and public and private consumption, plus net current transfers. World Bank national accounts data files.
NV.SRV.TOTL.ZS Services, value added (% of GDP) Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4. World Bank national accounts data, and OECD National Accounts data files.
NV.IND.TOTL.KD Industry (including construction), value added (constant 2010 US$) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant 2010 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NV.AGR.TOTL.CN Agriculture, forestry, and fishing, value added (current LCU) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.GDI.TOTL.KD.ZG Gross capital formation (annual % growth) Annual growth rate of gross capital formation based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. World Bank national accounts data, and OECD National Accounts data files.
NE.EXP.GNFS.KN Exports of goods and services (constant LCU) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.TOTL.CD Final consumption expenditure (current US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.
NE.CON.GOVT.CN General government final consumption expenditure (current LCU) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.
LP.LPI.CUST.XQ Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated efficiency of customs clearance processes (i.e. speed, simplicity and predictability of formalities), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents. World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.

API_USA_DS2_en_csv_v2_2056322.csv

Data Source World Development Indicators
Last Updated Date 2021-02-17
Country Name Country Code Indicator Name Indicator Code 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
United States USA Internally displaced persons, total displaced by conflict and violence (number of people) VC.IDP.TOCV
United States USA Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) TX.VAL.MRCH.R4.ZS 2.80983686389092 2.88658810057732 3.18282753515914 2.77551020408163 2.97538136233197 2.56805529172816 2.79893699596111 2.09116198901189 2.14959814376559 2.39713397608134 2.01764047127639 2.43755465242192 2.35282308657465 2.45699557740796 3.68467012922208 5.65114443567482 4.92941227574823 4.7871411148103 4.83179662619773 2.78356630873589 2.33218506833007 2.87606457570886 3.16426678466021 2.98819001660078 2.70961201478913 2.21806380204669 1.92916210572793 1.75410218585502 1.71489992447722 1.57575052400522 1.35322590090721 1.26725618376235 1.40831591069173 1.36804864898537 1.21271282899297 1.04229521749645 0.948877561180865 0.960098064448584 0.851743220645328 0.77707793796405 0.80567560322063 0.909201587905218 0.880873560233969 0.752702433848398 0.899030795570611 0.907102447396241 1.01941195189925 1.18171653665207 1.24432360089838 1.39216205731803 1.34031577546595 1.22723971466731 1.02965762336654 1.10211674847792 1.15118645043444 0.94398906990037 0.874564449817707 0.826237358583342 0.908951089866846 0.922420805364629
United States USA Export volume index (2000 = 100) TX.QTY.MRCH.XD.WD 35.65398037 35.87237515 35.24289345 35.76714989 39.02608008 40.80327686 41.324974 43.28696502 46.53623648 49.57600023 52.20047888 53.45482127 55.79053933 58.45691231 63.61763596 69.33152518 73.15375868 80.10629007 84.16506632 87.53119814 100 93.99704812 90.26618336 92.97034415 100.5935252 107.8016475 118.5289836 126.4805466 133.7545021 115.0409063 132.8249833 142.5555709 148.0756246 151.8910979 156.6522112 155.0967981 154.7712254 161.0373425 167.6972224 166.9141484
United States USA Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) TM.VAL.MRCH.R1.ZS 3.9763275553934 3.62166901757463 3.13874986446307 3.08028887232039 3.22235226735065 2.78445766358689 3.29603358059595 3.22801696100291 2.84790705698359 2.86712030186792 2.59834865608713 2.38433747545806 2.21194195864301 2.6461664373807 3.81692353801302 4.39535236362258 4.45675520329138 4.39974819404018 4.17417288303201 4.14862476899626 4.76170841761319 5.11846642750308 4.6782045196898 5.03284318628922 4.74082779195888 4.28927308469665 4.01410942944898 4.38364594508565 5.00084822438362 6.02847265437341 6.72531111343213 7.95204165578608 9.66882491748219 10.7419237147595 11.6086613419365 12.2123270616431 12.5298650357158 13.2238656834829 14.0171780673721 14.117799099649 14.3139753684636 14.7259208419126 16.658153208972 17.8761903302664 18.8377876982176 20.0694029979971 21.0232336390163 21.6660982754946 21.0127378242743 24.2842782042568 24.2672550454241 22.5905031786499 23.2198224784406 24.2404699011184 25.0327167092193 27.4624779135997 27.5791998612723 28.021456325176 27.4627579083505 25.320131818804
United States USA Tariff rate, most favored nation, simple mean, primary products (%) TM.TAX.TCOM.SM.FN.ZS 3.6 3.54 3.57 3.58 3.62 4.02 4.02 4.34 3.86 3.72 3.66 3.76 3.74 3.61 3.48 3.39 3.34 3.63 3.21 3.17 3.17 3.21 2.97 2.95 2.94 2.99 3.02 5.29 5.54 27.84
United States USA Tariff rate, most favored nation, simple mean, manufactured products (%) TM.TAX.MANF.SM.FN.ZS 6.39 6.39 6.37 6.39 6.4 5.73 5.42 5.19 4.71 4.34 4.31 4.19 4.1 3.96 3.82 3.8 3.79 3.65 3.84 3.88 3.9 3.89 3.79 3.78 3.77 3.78 3.78 3.53 3.76 4.15
United States USA International tourism, number of arrivals ST.INT.ARVL 79732000 82756000 82525000 74767000 75796000 78343000 70975000 64434000 62082000 67606000 71484000 183178000 175299000 175703000 160508000 162275000 147271421.875 171629890.625 179309906.25 178311359.375 176864531.25 175261484.375 174291750 169324921.875 166009000
United States USA Population, female (% of total population) SP.POP.TOTL.FE.ZS 50.4550559159069 50.473114791197 50.4885357987435 50.5044943785641 50.5250166612636 50.5525330057131 50.588655254573 50.6317245718855 50.6769494824042 50.7177786820154 50.7498649012039 50.7710781756653 50.7834932375917 50.7919318835117 50.8031632172934 50.821573731207 50.8490699883625 50.8831208372661 50.9184002879418 50.9475758485264 50.9658502514159 50.9710566875672 50.9656811330264 50.955164913702 50.9470688920258 50.9463216983171 50.9548515184989 50.9699420671743 50.9863034035126 50.9965864201085 50.9958743545725 50.9829098304796 50.9600479251755 50.9304851773073 50.8988568402088 50.8685846305057 50.840541089592 50.8141048969225 50.7893108243952 50.7657843052685 50.743268682874 50.7217088267852 50.7014462635583 50.6829866043738 50.6669920978822 50.6538020129792 50.6438964558909 50.6367847142009 50.6307101023585 50.6233481370269 50.6131890528633 50.5996033795709 50.5834049276266 50.5662962856078 50.5506734728571 50.5382211684035 50.5293128025686 50.5233822743544 50.5200146539124 50.5184872077992
United States USA Population ages 65 and above (% of total population) SP.POP.65UP.TO.ZS 9.1157240516365 9.19070286933771 9.25666124770925 9.32093675570192 9.38862385893657 9.46046624606258 9.5770322269274 9.69526310967829 9.81637277255134 9.93673371555787 10.0508148547925 10.19898387044 10.333096759756 10.4651258924921 10.5990648481906 10.7304526940099 10.8903418943005 11.0503160581731 11.2168348760963 11.3876430297024 11.5565418997375 11.6858364944201 11.7987714612327 11.9059368147568 12.0164485180539 12.1316674554753 12.2502403041832 12.3609815352887 12.4633778668089 12.5532065058315 12.6277839838757 12.6712559239854 12.695214280064 12.7025444314064 12.6920733689759 12.6625104800809 12.6109816541527 12.545806175682 12.4730115222078 12.3997197611975 12.3337392660218 12.3139292858862 12.2915656601496 12.2776805891466 12.2825855574362 12.3117114938844 12.3809160556302 12.4718681790523 12.5951145979011 12.7626484656842 12.9817726024576 13.2502621355322 13.5614320272468 13.9050443081105 14.2676996042196 14.6428847122761 15.0336787501808 15.4193658960742 15.8076540556035 16.2096061428511
United States USA Population ages 40-44, male (% of male population) SP.POP.4044.MA.5Y 6.42689040116721 6.41161522997785 6.42441726377772 6.44594941540706 6.44802140103033 6.41483580252957 6.36112222395862 6.28087548150825 6.18163625917162 6.07303153712418 5.95900864193234 5.82191290137582 5.68602850190048 5.56476997866248 5.46862816106801 5.39812197823718 5.27421286697357 5.1999989561784 5.18619860495809 5.21867069036032 5.26699443846348 5.32489075006264 5.38475712339269 5.46610575062474 5.59375281504629 5.77409639440158 5.98183872256915 6.24536327735641 6.54472489912433 6.8394677827889 7.09640219645667 7.25586530171292 7.37809674163782 7.48433247449805 7.59738388141248 7.72355655777619 7.82943858391453 7.92669549996576 8.00804760654502 8.06151283894715 8.08099861180603 8.0907205995182 8.06842833586206 8.01407658837137 7.92746873548927 7.8097436758818 7.65282894559255 7.47238910680117 7.28066310093699 7.09321772003225 6.92029292008022 6.760584722474 6.62173952868486 6.50262528882301 6.40153754752268 6.31817213254935 6.2528495700306 6.20445317831791 6.1747321236972 6.16581047512478
United States USA Population ages 15-19, male (% of male population) SP.POP.1519.MA.5Y 7.51998025047983 7.78272913604908 8.07932150854185 8.38877077511979 8.67319339498728 8.90908758617641 9.01981577477252 9.11550458214522 9.24115244697311 9.40793471680126 9.59099691455987 9.76002185925456 9.87496773654131 9.9525175957096 9.99745051339968 10.0036698291326 9.98949855858825 9.96579276170305 9.92951515915017 9.86594072598803 9.76274353706911 9.52518569924825 9.24626694304391 8.95467060306508 8.67834706094792 8.42739946219849 8.18097120091532 7.95970137874874 7.76683324111333 7.60265007229344 7.46439683905103 7.3177690976709 7.2179181414274 7.16944487595036 7.16487753677327 7.18876613896797 7.18921195046657 7.20816015691387 7.24899362825569 7.30576216611406 7.3677752952784 7.42793250807104 7.4823307818406 7.53156920225963 7.57897449810299 7.62249383503242 7.58923233261521 7.56798585543348 7.55007175051296 7.5195065047689 7.46826947038059 7.40137729356489 7.29157352131305 7.15318581940285 7.01292200121942 6.88868873474383 6.81308543396829 6.75110316904819 6.69996338459595 6.65567790127073
United States USA Women who were first married by age 15 (% of women ages 20-24) SP.M15.2024.FE.ZS
United States USA Mortality rate, adult, male (per 1,000 male adults) SP.DYN.AMRT.MA 233.293 226.703 229.823 233.559 232.277 233.011 236.639 234.856 240.987 239.492 236.992 232.152 232.026 228.488 219.819 212.742 206.648 202.603 199 195.119 194.955 190.25 183.148 179.711 177.94 178.088 177.915 176.195 176.244 174.804 172.059 170.606 168.459 170.257 169.025 166.964 158.008 149.441 145.506 144.774 143.926 144.307 144.378 143.909 140.559 141.969 141.119 138.605 136.811 134.966 131.884 132.128 131.335 131.229 131.838 134.263 138.455 139.141
United States USA Unemployment, total (% of total labor force) (modeled ILO estimate) SL.UEM.TOTL.ZS 6.80000019073486 7.5 6.90000009536743 6.11999988555908 5.65000009536743 5.44999980926514 5 4.51000022888184 4.21999979019165 3.99000000953674 4.73000001907349 5.78000020980835 5.98999977111816 5.53000020980835 5.07999992370605 4.61999988555908 4.61999988555908 5.78000020980835 9.25 9.63000011444092 8.94999980926514 8.06999969482422 7.38000011444092 6.17000007629395 5.28000020980835 4.86999988555908 4.3600001335144 3.90000009536743 3.67000007629395 8.3100004196167
United States USA Unemployment with advanced education, male (% of male labor force with advanced education) SL.UEM.ADVN.MA.ZS 2.85999989509583 2.67000007629395 2.5 2.15000009536743 1.87000000476837 2.08999991416931 1.78999996185303 2.53999996185303 3.47000002861023 3.65000009536743 3.14000010490417 2.63000011444092 2.33999991416931 2.33999991416931 2.9300000667572 5.65000009536743 5.69000005722046 5.09999990463257 4.48999977111816 4.19000005722046 3.55999994277954 2.91000008583069 2.85999989509583 2.57999992370605 2.42000007629395 2.34999990463257 5.19999980926514
United States USA Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) SL.TLF.CACT.ZS 65.4400024414063 65.0599975585938 65.3300018310547 65.2300033569336 65.6800003051758 65.8300018310547 66 66.3300018310547 66.3000030517578 66.3600006103516 66.4199981689453 66.0500030517578 65.6999969482422 65.3000030517578 65.0199966430664 65.0400009155273 65.1500015258789 64.9700012207031 64.9700012207031 64.3099975585938 63.5699996948242 63 63.0499992370605 62.5 62.2000007629395 62.0099983215332 62.1599998474121 62.2900009155273 62.310001373291 62.5699996948242 61.4099998474121
United States USA Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.FE.ZS 67.0599975585938 66.9400024414063 67.5400009155273 67.7300033569336 68.75 69.0699996948242 69.4300003051758 70.0100021362305 69.9599990844727 69.9800033569336 69.9199981689453 69.5100021362305 69.0899963378906 68.6800003051758 68.1500015258789 68.1399993896484 68.2300033569336 67.9800033569336 68.1500015258789 67.8099975585938 67.1399993896484 66.5599975585938 66.5199966430664 66.0199966430664 66 65.8600006103516 66.2900009155273 66.9400024414063 67.2300033569336 67.870002746582
United States USA Children in employment, study and work, male (% of male children in employment, ages 7-14) SL.TLF.0714.SW.MA.ZS
United States USA Child employment in manufacturing, male (% of male economically active children ages 7-14) SL.MNF.0714.MA.ZS
United States USA Vulnerable employment, male (% of male employment) (modeled ILO estimate) SL.EMP.VULN.MA.ZS 6.11999976634979 6.01999986171723 6.15999998152256 5.76000007987023 5.55999977141618 5.50999984890223 5.39999994635582 5.22000009566545 5.04000001773239 4.89999992400407 4.84999996051193 4.82999997958541 5.04999976977706 5.09000020846725 5.07000022754074 4.98999980837107 4.87999992445111 4.84000020846725 4.91000013425946 4.93000013381242 4.72999982908368 4.62999994307756 4.48000007495285 4.42000011354685 4.49000005796552 4.48999980837107 4.28999999910593 4.39999990537763 4.2500000372529
United States USA Employment to population ratio, ages 15-24, total (%) (national estimate) SL.EMP.1524.SP.NE.ZS 50.0999984741211 49 49.5 48.5 49 50.2000007629395 52.2000007629395 52.7000007629395 52.7000007629395 54 53.2000007629395 52.2999992370605 54.2999992370605 57 57.2000007629395 54.2000007629395 55.7000007629395 57.5999984741211 59.7999992370605 60.5999984741211 58.5999984741211 57.5999984741211 55.2999992370605 55.5999984741211 58.2999992370605 59 59.5 60.0999984741211 60.7999992370605 61.2000007629395 59.7999992370605 57.2000007629395 56.7000007629395 57.2000007629395 58.2000007629395 58.3400001525879 57.75 58.189998626709 58.9900016784668 59 59.6599998474121 57.7099990844727 55.689998626709 53.9099998474121 53.9000015258789 53.9099998474121 54.25 53.1300010681152 51.2299995422363 46.8499984741211 45 45.4500007629395 46.7900009155273 46.4900016784668 47.6399993896484 48.5999984741211 49.4099998474121 50.3400001525879 50.4599990844727 51.189998626709 45.8600006103516
United States USA Average transaction cost of sending remittances to a specific country (%) SI.RMT.COST.IB.ZS
United States USA Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) SI.POV.DDAY 0.5 0.5 0.5 0.5 0.5 0.7 0.7 1 1 1 1 1
United States USA Domestic general government health expenditure per capita (current US$) SH.XPD.GHED.PC.CD 2017.0369873 2219.11352539 2406.6237793 2578.67724609 2761.66308594 2929.8137207 3159.27490234 3328.56225586 3515.82275391 3716.60473633 3857.06518555 3957.61987305 4078.00756836 4210.83789063 4530.33544922 4811.90966797 4977.19140625 5130.76904297 5355.78710938
United States USA Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) SH.UHC.NOP2.ZS
United States USA Prevalence of wasting, weight for height, female (% of children under 5) SH.STA.WAST.FE.ZS
United States USA Prevalence of overweight, weight for height, male (% of children under 5) SH.STA.OWGH.MA.ZS
United States USA Diabetes prevalence (% of population ages 20 to 79) SH.STA.DIAB.ZS 10.3 10.8
United States USA Prevalence of current tobacco use, females (% of female adults) SH.PRV.SMOK.FE 23 21.8 21.2 20.6 19.9 19.3
United States USA Immunization, HepB3 (% of one-year-old children) SH.IMM.HEPB 16 42 68 82 84 87 88 90 89 88 92 92 93 93 93 94 92 92 91 90 91 92 92 93 93 91 91
United States USA People using at least basic drinking water services (% of population) SH.H2O.BASW.ZS 99.2095856995511 99.2143698518206 99.2191311977684 99.2238608831708 99.2285623675617 99.2332041673278 99.2380175688897 99.2429150870344 99.2479549641362 99.253101759601 99.2583628830591 99.2637093636678 99.2691920708955
United States USA Probability of dying among children ages 5-9 years (per 1,000) SH.DYN.0509 1.1 1.1 1.1 1 1 1 1 0.9 0.9 0.9 0.8 0.8 0.8 0.8 0.7 0.7 0.7 0.7 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6
United States USA Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age) SH.ALC.PCAP.MA.LI 14.33 14.74 14.54 15.22 15.29
United States USA Government expenditure on education, total (% of GDP) SE.XPD.TOTL.GD.ZS 4.93104982376099 4.96174001693726
United States USA Pupil-teacher ratio, tertiary SE.TER.ENRL.TC.ZS 12.46114 12.35456 12.02368
United States USA Secondary education, teachers (% female) SE.SEC.TCHR.FE.ZS 55.6079597473145 55.6092796325684 55.6130981445313 55.6133117675781 55.6013298034668 62.0292091369629 62.0095405578613 62.6465911865234
United States USA School enrollment, secondary, male (% net) SE.SEC.NENR.MA 88.05048 87.62882 89.06161 88.32107 88.8673 88.70675 89.93936 92.18887 91.88962
United States USA Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.UP.ZS 65.6999969482422 77.1327209472656 85.1531524658203 85.191780090332 85.7232284545898 86.614128112793 86.7090835571289 87.1494064331055 87.5908889770508 87.6791000366211 88.1503067016602 88.3135833740234 88.4119720458984 89.0923614501953 89.8053588867188
United States USA Children out of school, female (% of female primary school age) SE.PRM.UNER.FE.ZS 0.268880009651184 2.31665992736816 3.06856989860535 2.99465990066528 2.72483992576599 1.91737997531891 0.43095999956131 0.635680019855499
United States USA Persistence to last grade of primary, female (% of cohort) SE.PRM.PRSL.FE.ZS
United States USA Gross intake ratio in first grade of primary education, female (% of relevant age group) SE.PRM.GINT.FE.ZS 106.78762 101.43102 103.04991 97.39879 99.4304 101.98587 103.87874
United States USA Trained teachers in preprimary education, male (% of male teachers) SE.PRE.TCAQ.MA.ZS
United States USA Literacy rate, youth male (% of males ages 15-24) SE.ADT.1524.LT.MA.ZS
United States USA Coverage of social safety net programs in poorest quintile (% of population) per_sa_allsa.cov_q1_tot
United States USA Price level ratio of PPP conversion factor (GDP) to market exchange rate PA.NUS.PPPC.RF 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
United States USA Gross savings (current LCU) NY.GNS.ICTR.CN 231399000000 250189000000 282796000000 339038000000 350514000000 352402000000 402120000000 462336000000 550944000000 617947000000 634238000000 748994000000 728412000000 719270000000 884494000000 883464000000 868140000000 952441000000 1080353000000 1114015000000 1118450000000 1158345000000 1152893050000 1168933200000 1300919600000 1432284700000 1585406100000 1786888700000 1937420900000 2017616000000 2136856000000 2083730000000 2013650000000 2004873000000 2177006000000 2383002000000 2670192000000 2548055000000 2259684000000 2025400000000 2331922000000 2576133000000 3057724000000 3241136000000 3585340000000 3697737000000 3503631000000 3637949000000 3831843000000 4010648900000
United States USA GNI (current US$) NY.GNP.MKTP.CD 546400000000 566800000000 609200000000 643100000000 690700000000 749000000000 820100000000 867100000000 948600000000 1026000000000 1074359000000 1162926000000 1280507000000 1431848000000 1553300000000 1684554000000 1869603000000 2082670000000 2349856000000 2614202000000 2847055000000 3201886000000 3371448000000 3614168000000 4032292000000 4310074000000 4516535000000 4828878000000 5256093000000 5598381000000 5902290000000 6096750000000 6435469000000 6733768000000 7170251000000 7574691000000 8045907000000 8589268000000 9135464000000 9689354000000 10383859000000 10743709000000 11054325000000 11530268000000 12313988000000 13169702000000 14072966000000 14543216000000 14684602000000 14398708000000 15126736000000 15832207000000 16670651000000 17175898000000 18057489000000 18704317000000 19045164000000 19830277000000 20837347000000 21690012900000
United States USA GDP, PPP (constant 2017 international $) NY.GDP.MKTP.PP.KD 10095403422363.4 10084474229002 10439694033797.4 10727082558725 11159259451715.3 11458806017413.5 11891089625674.6 12419912106459.8 12976498985685.7 13593302605817 14154363997496 14295672788308.2 14544659841221.1 14960813215349.3 15529158220463.1 16074730749458.2 16533659859377.3 16843859666163.8 16820854355604.1 16394150143566.4 16814457883306 17075222466006.3 17459337424535.5 17780952574201.2 18230094715455 18760229855113.1 19067492114309 19519353692000.1 20090748755410.5 20524945253654.2
United States USA GDP deflator: linked series (base year varies by country) NY.GDP.DEFL.ZS.AD 63.6145395404225 60.8035981078347 62.8598272360584 64.2923451105678 65.8156109614379 67.2210235228185 68.6305349616155 69.8871812276116 71.0923094899577 71.8924679390084 72.9304539199896 74.5607955553709 76.196230936094 77.4014747352365 78.8388938057389 80.961404066653 83.4833051301396 86.0096807808467 88.3201406944557 90.0380837524428 90.7244890758212 91.781656675286 93.6988871692119 95.4958903473963 97.1717628016383 98.9692727599237 100 101.035268878765 102.938458710681 105.446041516521 107.493745896589
United States USA Adjusted savings: net national savings (% of GNI) NY.ADJ.NNAT.GN.ZS 8.80152723882391 8.70760477912352 9.51068599745499 11.1989540794078 9.24612116526322 6.76095868642587 7.58952569493859 8.28282925467784 9.52177495172077 9.33611862996537 7.22873284834889 8.17527544320486 5.67853931278182 4.33422021581761 7.09522029123685 5.64554111595188 4.04834679569211 4.59850093707969 5.62883875574115 4.92565618506061 3.89540330479432 3.70610570905582 2.99350443245221 2.45679981854358 3.42121357170982 4.09130484222999 5.09700274125812 6.37497100018253 6.87084668250969 6.38411833547786 6.00444619418521 4.51857073212309 3.20341441380864 2.44156786355485 2.85202590324387 3.0673853701241 3.86561460061591 2.02495934155451 -0.716920034483599 -2.42720505622776 -0.425935352626411 0.617918538472124 2.84910256345599 3.21275946583069 4.21525489263507 4.14533894134754 2.68265525958529 2.67106164169622 2.56183936658292
United States USA Adjusted savings: education expenditure (% of GNI) NY.ADJ.AEDU.GN.ZS 7.4547239 7 6.9 6.8 6.6 7 7 6.7 6.6 6.3 6.3 6.4 6.2 6.3 6.3 6.1 4.2 6.4 4.3 4.3 4.4 4.5 5.4280995 5.1 5.3558719 4.7893238 4.7893238 4.7893238 4.27047354561159 4.28059875738757 4.51375828866931 4.7469178199512 4.76279807957674 4.92348521694498 4.68150127233305 4.44733636935943 4.68841276947343 4.60755913332684 4.71428397393142 4.71215385260814 4.84096628264901 5.05 4.50200166934699 4.40433758603065 4.39510978964252 4.39510978964252 4.39510978964252 4.39510978964252 4.39510978964252
United States USA Industry (including construction), value added (constant LCU) NV.IND.TOTL.KN 2605920290000 2703347327000 2854778629000 2998815080000 2893926803000 2895927514000 2979939975000 3145510918000 3194813024000 3328875105000 3393390105000 3272021126000 3024585229000 3087294575000 3100729914000 3149216007000 3228500222000 3304385849000 3376877500000 3389656783000 3488628572000 3598629978000
United States USA Agriculture, forestry, and fishing, value added (annual % growth) NV.AGR.TOTL.KD.ZG 2.65725619619943 12.3321346813744 13.8065845758839 -3.77684130775525 -6.30633799151992 9.68500137398378 4.33451738173278 12.1581419815961 -5.30468439777798 -14.4126003633175 -0.172312924139618 12.029508630939 -2.66993293927298 -6.5104514833637 -3.78649204854888 16.17880996365 1.39813795439348 7.74678784019518 6.55457176927045 -2.29348440674585 -0.454494522670871
United States USA Gross capital formation (% of GDP) NE.GDI.TOTL.ZS 21.4147356338331 21.9198180023179 22.580622464057 23.3318085894529 22.6949418311554 20.2774757493602 22.038398387541 23.5262697266726 24.8317846707708 25.1111202458462 23.3102708249411 24.2768569915829 22.070082771371 22.2529868977705 25.0958177517261 24.1883401602082 23.7406245175648 23.6202310299338 22.827807757869 22.5137993257208 21.5292134484762 20.1106050230516 20.0775819985715 20.39362787431 21.2790967659069 21.2726491406982 21.7018149855781 22.4097090800901 22.9583331986162 23.420368031642 23.6751483699321 22.1769477249141 21.7081385440482 21.7422235599583 22.6585751713657 23.3803031012999 23.5391854504464 22.592491925905 21.1190167058118 17.8045811102374 18.7431037708356 19.1035258566922 20.0208898479027 20.4137431322085 20.806247168447 21.1787412668735 20.4476519853189 20.5716596120994 21.0724797436092 21.0142887496264
United States USA Gross fixed capital formation, private sector (current LCU) NE.GDI.FPRV.CN 83200000000 83600000000 90900000000 97700000000 107300000000 120400000000 130600000000 132800000000 147900000000 173600000000 170100000000 196800000000 228100000000 266900000000 274500000000 257300000000 323200000000 396600000000 478400000000 539700000000 530100000000 631200000000 581000000000 637500000000 820100000000 829600000000 849100000000 892200000000 937000000000 999700000000 993500000000 944300000000 1013000000000 1106800000000 1256500000000 1317500000000 1432100000000 1595600000000 1735300000000 1884200000000 2033800000000 1928600000000 1925000000000 2027900000000 2276700000000 2527100000000 2680600000000 2643700000000 2424800000000 1878100000000 2100800000000 2239900000000 2479200000000 2648000000000
United States USA Final consumption expenditure (constant 2010 US$) NE.CON.TOTL.KD 4112329556125.48 4233595819196.99 4435920158448.98 4596663967874.02 4588219521428.95 4694021833603.98 4897056730587.86 5078217355594.59 5272618452115.99 5380413767411.75 5383396578903.7 5460436131665.37 5550241811490.18 5833560152901.15 6094817736364.61 6405806700599.63 6676231719836.27 6883378861540.37 7140504117478.01 7350944880007.88 7509614397532.16 7546654243593.35 7777764294036.51 7993737459192.75 8251188825957.82 8452509012902.63 8698050172212.83 8994885364030.02 9416506136543.93 9869880129322.19 10308902389673.7 10586513317451.7 10882718284609.7 11201633361472.7 11575930806227.5 11929722497261.5 12254644319352.1 12512944912073.7 12546481700486.1 12517834657519.5 12695979000000 12812144167537.7 12932333596438.7 13039380100731.1 13336045065629.2 13789856104369.7 14147106861836.6 14468632734883.3 14831763046167.2 15173958208052.4
United States USA Intentional homicides (per 100,000 people) VC.IHR.PSRC.P5 9.2963554158 9.7049819456 9.2454740603 9.4500823463 8.8948645919 8.148172868 7.3210723217 6.7011727501 6.1684313399 5.5724656981 5.5326219985 6.6874439703 5.6492059547 5.7029372753 5.5234282342 5.6747011338 5.8130909014 5.6977777652 5.4252910534 5.0272999297 4.7642244631 4.705311441 4.7305490441 4.5255927962 4.4446756529 4.9498515188 5.3907547711 5.316767266 4.9569505476
United States USA Merchandise exports by the reporting economy, residual (% of total merchandise exports) TX.VAL.MRCH.RS.ZS 4.44119795471147 4.65671072093134 4.60307179866765 5.28034371643394 5.49010723455671 4.734281163698 5.08215916117404 3.64369134449042 3.49490519201727 3.69053263790106 4.1530537636399 3.86474743218569 4.2930991217064 5.79570956772278 4.28356848080635 5.26505408793352 5.79722861734938 5.11306325608992 5.62372230798114 6.61648312415895 5.36437421066212 4.93723706262612 4.95610545986886 4.66526748191612 5.09023018559803 4.51745129489452 3.96291151932152 3.66157411618608 3.74097878781231 4.11505999240812 4.03296812419317 3.85454519578356 2.93243741824402 2.47276812468988 2.42008211523856 2.50538145281216 2.33242112092917 0.222724371138458 0.291599683772163 0.165244870749993 0.231380812202858 0.227324335933332 0.225241794145012 0.213804518425183 0.245632211779863 0.29789629197132 0.285894753083443 0.332891828432342 0.369219764329446 0.347673879516704 0.342366672146162 0.235156017821488 0.184998360460603 0.195043886710212 0.188497456617792 0.173561652764577 0.221774170048841 0.110593792289129 0.138105495361246 0.124113331870917
United States USA Food exports (% of merchandise exports) TX.VAL.FOOD.ZS.UN 20.6845977204806 21.3708998124771 21.3934532594607 21.0831048593304 21.2681657125 18.8716334478146 16.8940317129741 15.0168597935526 15.9994792612271 16.2803477363861 17.8240862861024 23.6048800999182 21.0775766513623 19.6703409770165 19.2129229332525 18.7144735536295 19.9627183190804 18.8683337468923 18.2458627853766 18.4830660193139 17.1086103687453 17.8171131037861 16.8106615242088 13.4873058651409 12.597779829208 11.6597359877688 11.7199820155573 11.0821420329684 10.4281647974271 10.8677935311035 10.4464052529352 10.1439524784013 10.5276676539551 10.6782011659578 9.01745167527805 8.33791082630046 7.87646859626434 7.31272072171339 7.90885942705402 8.18039838753732 8.66070771774829 7.95665354430981 7.46826036430362 7.19308934376929 8.12927895973657 9.37211571123077 10.1065097433023 9.68903081460087 9.78386989546362 9.92027863868816 10.0077786089105 10.3016018246321 9.96602604274812 10.5981894234901 10.099184110505 9.40119920680917 9.32976924334648
United States USA Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) TM.VAL.MRCH.R4.ZS 0.884315459442077 1.00390123645051 0.838902236501949 0.772793321324198 0.846676793585178 0.85104897241292 0.944814877588775 0.646994778821704 0.738136784382044 0.763002950451682 0.523979621713416 0.842580796051133 1.13672750560359 1.61855251007557 4.04869808459044 5.06757269039766 6.18594203775411 7.85647060290075 7.147279489219 7.88573689629899 6.8012291893574 4.20203837588178 1.84278759968462 2.02564473045617 1.4378364754807 1.07999082058953 0.852042147464462 1.21641535904177 0.889504636959964 1.03605434868537 1.38820225371073 0.618239721038175 0.46068822745961 0.484577114427861 0.414426672778598 0.385223918535464 0.422720169811921 0.468191736405282 0.474662138917087 0.724353349610865 0.917779123763376 0.985468195260005 0.781197761162998 1.00388413480323 1.40528492857939 1.57732512164572 1.93133076281784 1.9664318748482 2.46296150951759 1.70369238636293 1.78461171066805 1.70873761978306 1.65991574501267 1.12061854177229 0.985932844595516 0.559063044261842 0.644930063037302 0.904441586651129 0.969043974900992 0.743604151697086
United States USA Tariff rate, most favored nation, weighted mean, primary products (%) TM.TAX.TCOM.WM.FN.ZS 3.44 3.63 3.67 3.63 3.56 3.95 4 2.34 4.07 8.32 5.13 4.58 3.9 3.71 3.63 3.74 3.7 3.71 3.64 3.96 3.95 4.07 4.14 3.98 3.76 3.86 3.88 8.59 8.24 134.84
United States USA Tariff rate, most favored nation, weighted mean, manufactured products (%) TM.TAX.MANF.WM.FN.ZS 4.78 4.88 4.93 5.01 4.9 4.32 4.13 4 3.55 3.29 3.15 3.28 3.25 3.13 2.89 2.81 2.76 2.12 2.57 2.62 2.61 2.56 2.55 2.61 2.61 2.64 2.64 2.39 2.56 3.23
United States USA International tourism, receipts (% of total exports) ST.INT.RCPT.XP.ZS 11.8005229123474 12.0000751501829 11.4555052709643 11.2619925566582 11.1813263616451 10.9252217529332 10.3858320759846 9.878865626537 9.22153708494622 9.17798755437151 9.03456894509201 8.26712732523629 8.11651656931463 8.06094775906366 8.60823913791415 8.64278832082482 8.34757757669965 8.68151636541454 9.21240736473836 9.31109220759406 10.1140126013928 10.2125543249497 9.68098242768678 9.36156907468038 9.23403263974889
United States USA Completeness of birth registration, female (%) SP.REG.BRTH.FE.ZS 100
United States USA Population ages 75-79, female (% of female population) SP.POP.7579.FE.5Y 1.99166504334234 2.00102719630883 2.00553274918188 2.0178157513107 2.04689308502381 2.09288097147329 2.12543232649297 2.16217914688049 2.19970397928382 2.23402979472944 2.26479944739161 2.29675793520611 2.32343759580795 2.34977629221172 2.38135590792473 2.41789470769492 2.41729098400582 2.44235810748307 2.50171640495097 2.58799928059736 2.68234219955032 2.72261721805393 2.76087051874164 2.80213296800299 2.84547463534606 2.88451136414822 2.87576040264513 2.86524146767667 2.86311455126965 2.87530577345224 2.89897898869166 2.87603422684742 2.86508957901449 2.87480407637792 2.90523871858068 2.94720003126811 2.95924872475654 2.97749345361033 2.99905316730095 3.01731909571307 3.02605763947428 2.9851237170813 2.9431580700902 2.90646525767377 2.87606376228492 2.84861221879853 2.79763261207728 2.74102728459819 2.68464343548058 2.64029083119654 2.6171524105614 2.59894542629738 2.60450832584795 2.63144976330509 2.67772934424541 2.74259386162681 2.80283528702492 2.87817413398489 2.97145920570329 3.08809292435287
United States USA Population ages 50-54, female (% of female population) SP.POP.5054.FE.5Y 5.61752764845436 5.60265541804979 5.58731454447923 5.55926354334541 5.51916050779523 5.47901279695401 5.46028225993978 5.45053088047414 5.44549809969366 5.44806749316805 5.46300726780257 5.4893976234653 5.52852557179802 5.56489249659458 5.58030827505868 5.56620890797017 5.52977079105008 5.47248922956779 5.39492094116935 5.30006883814013 5.1920242061837 5.06113248074087 4.92387279671015 4.79086834215357 4.67736257862295 4.59256205873941 4.52354993948404 4.48784443256325 4.48730344749777 4.51862582246488 4.57584448543729 4.64615526213298 4.74288918211778 4.8703424206145 5.02919081472552 5.21165942180601 5.39660659784785 5.6120594499624 5.84588070248576 6.07180745709383 6.26755735805288 6.42784232373567 6.54522557813179 6.63386598361185 6.71699683962405 6.80635962441413 6.88653246023581 6.97347964561009 7.0563696856289 7.11762295289445 7.14568226063693 7.12511800846953 7.08238610664667 7.01690122896994 6.92917427251202 6.82123377985736 6.69463294500162 6.54790379777771 6.39457538886147 6.2532275141989
United States USA Population ages 15-64, male SP.POP.1564.MA.IN 53860737 54601629 55458310 56397424 57381634 58327340 59181703 60034898 60886813 61796856 62904136 64245722 65494703 66702750 67920147 69212610 70076471 71034125 72058839 73111764 74042805 75044117 76017379 76931900 77764893 78562130 79204725 79794215 80384558 81023746 81855969 82755297 83770992 84821073 85895154 87036698 88101206 89332568 90624489 91941696 93239646 94410726 95474911 96471064 97587329 98768475 99695551 100693346 101717388 102625726 103405231 104049469 104679561 105229771 105788452 106319959 106806372 107149699 107346573 107487469
United States USA Population ages 00-04, female (% of female population) SP.POP.0004.FE.5Y 10.7748693853712 10.7023312101293 10.5064168448272 10.219987333014 9.89907467641386 9.58451164030849 9.23569718322615 8.91075966494945 8.61706028277439 8.35053524552291 8.10018932313024 7.79937186396941 7.60097027808939 7.46955893100583 7.36255575594819 7.25213572030579 7.20217022548721 7.11223861230299 7.00204015334656 6.91051489877221 6.86775681410265 6.87683089355355 6.91066970418179 6.96658364097274 7.02882346607894 7.08774893009688 7.18230639977191 7.24156999585119 7.27384931112918 7.29291915350158 7.30983208991617 7.34643914093424 7.35588376697376 7.33986123706322 7.29672561593119 7.23430845652997 7.18966314836864 7.07334415349049 6.9233627049262 6.78752938889541 6.69025609816446 6.55805537172828 6.53184874156469 6.57019807412063 6.61409819393606 6.63065927440409 6.74133105310733 6.75574190120631 6.69829648254261 6.61069011595244 6.52696708072508 6.4676449226969 6.36224789679636 6.23628548906379 6.11321594928241 6.00793478586421 5.86695280055949 5.79502674118961 5.77175497739534 5.7657216568054
United States USA Contraceptive prevalence, modern methods (% of women ages 15-49) SP.DYN.CONM.ZS 49.1 56.8 63.5 73.2 60.5 64 69.1 66.6 70.5 68.1 71.6 70.4 70.4 70.1 70.1 63.10396 63.1 67.7188112151858
United States USA Children in employment, wage workers (% of children in employment, ages 7-14) SL.WAG.0714.ZS
United States USA Unemployment with basic education, male (% of male labor force with basic education) SL.UEM.BASC.MA.ZS 11.6400003433228 11.0900001525879 10.0699996948242 9.27999973297119 8.55000019073486 8.18000030517578 7.61999988555908 8.53999996185303 9.0600004196167 9.27999973297119 8.4399995803833 7.3899998664856 7.19000005722046 7.30999994277954 9.89000034332275 14.6999998092651 15.0299997329712 12.539999961853 11.6000003814697 9.64000034332275 7.42000007629395 7.11999988555908 6.30999994277954 5.73999977111816 5.21999979019165 4.59000015258789 10.5200004577637
United States USA Labor force with intermediate education (% of total working-age population with intermediate education) SL.TLF.INTM.ZS 65.9899978637695 65.8499984741211 65.9599990844727 66.0699996948242 65.6399993896484 65.4899978637695 65.2799987792969 64.7799987792969 64.3099975585938 63.75 63.1800003051758 63.1500015258789 63.0800018310547 62.5200004577637 62.2400016784668 61.2299995422363 60.4500007629395 59.5999984741211 58.8499984741211 58.189998626709 57.7099990844727 57.3699989318848 57.4799995422363 57.4799995422363 57.2200012207031 57.3600006103516 55.4700012207031
United States USA Labor force with advanced education, female (% of female working-age population with advanced education) SL.TLF.ADVN.FE.ZS 75.6600036621094 75.5100021362305 75.5299987792969 75.6399993896484 75.2600021362305 74.7300033569336 74.2300033569336 73.4100036621094 73.1500015258789 73.25 73.0199966430664 73.1600036621094 73.0999984741211 73.0899963378906 73.4800033569336 73.3499984741211 72.4400024414063 71.879997253418 71.4899978637695 70.9599990844727 70.3899993896484 69.7200012207031 69.4000015258789 69.3099975585938 69.3600006103516 69.370002746582 67.8199996948242
United States USA Average working hours of children, working only, female, ages 7-14 (hours per week) SL.TLF.0714.WK.FE.TM
United States USA Children in employment, self-employed, male (% of male children in employment, ages 7-14) SL.SLF.0714.MA.ZS
United States USA Wage and salaried workers, male (% of male employment) (modeled ILO estimate) SL.EMP.WORK.MA.ZS 89.1900024414063 89.3899993896484 89.1699981689453 89.7699966430664 90.120002746582 90.2600021362305 90.4599990844727 90.7799987792969 91.1100006103516 91.3600006103516 91.4499969482422 91.5199966430664 91.1999969482422 91.1600036621094 91.2300033569336 91.370002746582 91.5999984741211 91.7300033569336 91.629997253418 91.6699981689453 92.0400009155273 92.25 92.5299987792969 92.629997253418 92.5500030517578 92.5699996948242 92.9199981689453 92.7699966430664 93.0400009155273
United States USA Employers, male (% of male employment) (modeled ILO estimate) SL.EMP.MPYR.MA.ZS 4.69999980926514 4.59000015258789 4.67000007629395 4.46000003814697 4.30999994277954 4.23000001907349 4.1399998664856 4 3.84999990463257 3.74000000953674 3.70000004768372 3.65000009536743 3.75999999046326 3.75 3.70000004768372 3.63000011444092 3.51999998092651 3.4300000667572 3.46000003814697 3.40000009536743 3.23000001907349 3.11999988555908 3 2.94000005722046 2.96000003814697 2.94000005722046 2.79999995231628 2.83999991416931 2.71000003814697
United States USA Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) SI.SPR.PC40.ZG 1.27
United States USA Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population) SI.POV.LMIC 1 0.7 0.7 0.7 0.7 0.7 0.7 1.2 1.2 1.2 1.2 1.2
United States USA Out-of-pocket expenditure per capita (current US$) SH.XPD.OOPC.PC.CD 705.99468994 724.50561523 763.277771 813.05334473 849.9765625 894.31054688 918.9005127 965.97601318 973.92645264 960.36633301 971.56011963 996.30743408 1016.53167725 1033.07006836 1041.08410645 1064.90771484 1105.87902832 1123.42553711 1148.3170166
United States USA Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure SH.UHC.OOPC.25.TO
United States USA Prevalence of severe wasting, weight for height, female (% of children under 5) SH.SVR.WAST.FE.ZS
United States USA Mortality rate attributed to unintentional poisoning, female (per 100,000 female population) SH.STA.POIS.P5.FE 0.6 0.7 0.8 0.8 0.8
United States USA People with basic handwashing facilities including soap and water, urban (% of urban population) SH.STA.HYGN.UR.ZS
United States USA Risk of impoverishing expenditure for surgical care (% of people at risk) SH.SGR.IRSK.ZS 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
United States USA Hospital beds (per 1,000 people) SH.MED.BEDS.ZS 9.19999980926514 8.80000019073486 7.90000009536743 7.5 7.40000009536743 7.19999980926514 7.09999990463257 6.80000019073486 6.59999990463257 6.40000009536743 6.19999980926514 6.09999990463257 6 5.90000009536743 5.90000009536743 5.80000019073486 5.69999980926514 5.5 5.40000009536743 5.19999980926514 5.09999990463257 5 4.9000000954 4.8000001907 4.5999999046 4.5 4.3000001907 4.0999999046 3.9000000954 3.7999999523 3.7000000477 3.5999999046 3.49 3.47 3.39 3.33 3.26 3.2 3.18 3.14 3.13 3.08 3.05 2.97 2.93 2.89 2.83 2.8 2.77 2.87
United States USA People using safely managed drinking water services (% of population) SH.H2O.SMDW.ZS 98.9423321117692 98.947103376354 98.9518518960534 98.9565688404955 98.9612576598948 98.9658869554494 98.970687390534 98.9755717156059 98.9805980161442 98.9857309470258 98.9909778979207 98.9963099760288 99.0017779137847
United States USA Probability of dying among youth ages 20-24 years (per 1,000) SH.DYN.2024 5.5 5.5 5.4 5.4 5.4 5.2 5.1 4.9 4.8 4.7 4.7 4.7 4.7 4.8 4.8 4.9 4.9 4.8 4.6 4.5 4.3 4.2 4.2 4.2 4.3 4.5 4.7 4.9 5 5.1
United States USA Prevalence of anemia among non-pregnant women (% of women ages 15-49) SH.ANM.NPRG.ZS 12 10.9 10.1 9.4 8.9 8.5 8.2 7.9 7.7 7.6 7.5 7.5 7.6 7.8 8 8.3 8.6 9 9.4 9.7 10.1 10.4 10.7 11.2 11.6 12.3 13.2
United States USA Proportion of seats held by women in national parliaments (%) SG.GEN.PARL.ZS 11.7241379310345 11.7241379310345 13.3333333333333 14.0229885057471 13.7931034482759 14.2528735632184 14.9425287356322 15.1724137931034 16.3218390804598 16.7816091954023 17.0114942528736 16.7816091954023 16.7816091954023 16.8202764976959 17.9723502304147 17.8240740740741 19.3103448275862 19.3548387096774 19.1685912240185 19.3548387096774 23.5023041474654 23.4338747099768 23.4338747099768
United States USA School enrollment, tertiary, male (% gross) SE.TER.ENRR.MA 56.0858116149902 55.9597015380859 54.7155990600586 54.1659698486328 55.4067993164063 59.3754997253418 55.0796699523926 53.9967002868652 51.9268493652344 51.7251091003418 52.9119186401367 53.6259117126465 54.2866592407227 54.7201194763184 54.0330200195313 54.6072006225586 56.4369888305664 58.1407890319824 60.0274314880371 63.0336608886719 64.5296325683594 69.7573013305664 69.4720611572266 69.164306640625 68.5741806030273 62.3102111816406 63.041919708252 58.6306991577148 58.6805000305176 66.3764877319336 67.6715621948242 67.8156280517578 66.9317169189453 68.7708206176758 69.4176635742188 70.9342193603516 73.2788467407227 77.7058563232422 79.0152206420898 78.1782836914063 75.0769119262695 75.3973617553711 75.7590179443359 76.0622711181641 74.9971923828125 74.8950500488281
United States USA Adolescents out of school (% of lower secondary school age) SE.SEC.UNER.LO.ZS 2.23353004455566 0.846130013465881 0.304280012845993 0.203749999403954 0.311190009117126
United States USA Progression to secondary school, male (%) SE.SEC.PROG.MA.ZS 100
United States USA Secondary education, pupils (% female) SE.SEC.ENRL.FE.ZS 49.15244 49.00733 48.85835 48.9125 48.87004 49.14494 49.17237 48.78903 48.81884
United States USA Children out of school (% of primary school age) SE.PRM.UNER.ZS 0.565190017223358 2.36563992500305 3.6102499961853 2.73482990264893 2.49076008796692 1.80586004257202 0.35997000336647 0.424380004405975 0.574209988117218
United States USA Repeaters, primary, female (% of female enrollment) SE.PRM.REPT.FE.ZS 1.55674
United States USA School enrollment, primary (% net) SE.PRM.NENR 94.77826 93.37426 92.44255 92.79303 92.80851 93.2305 93.8973 95.07325 94.62633
United States USA Primary completion rate, female (% of relevant age group) SE.PRM.CMPT.FE.ZS 97.1660308837891 95.4763412475586
United States USA Literacy rate, adult male (% of males ages 15 and above) SE.ADT.LITR.MA.ZS
United States USA Coverage of social safety net programs in 4th quintile (% of population) per_sa_allsa.cov_q4_tot
United States USA Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) per_allsp.ben_q1_tot
United States USA Net primary income (Net income from abroad) (current US$) NY.GSR.NFCY.CD 6393000000 7594000000 8558000000 12619000000 15520000000 13004000000 16847000000 20292000000 21581000000 31931000000 34185000000 32935000000 36510000000 37085000000 36290000000 25365000000 16957000000 17488000000 22657000000 24789000000 34692000000 31586000000 31077000000 31158000000 22966000000 27952000000 30869000000 23300000000 17411000000 25536000000 35024000000 48749000000 45243000000 58360000000 78184000000 77955000000 50450000000 109024000000 154608000000 141937000000 195720000000 236378000000 232301000000 230732000000 241062000000 224626000000 218168000000 243296000000 267900000000
United States USA GNI (constant 2010 US$) NY.GNP.MKTP.KD 4769138725773.23 4928944355342.92 5188949675821.47 5493653837553.46 5470057040460.07 5446610936171.95 5747172923261.74 6017021141304.62 6346204177699.8 6565971323349.35 6547356083068.02 6702340456574.34 6586488960142.93 6883717990465.86 7372518918747.85 7656367914158.59 7904717055130.88 8177260151109.75 8524957583507.02 8838619913070.71 9017934794430.04 9002255626991 9315954252945.57 9570311165621.91 9942135295363.92 10214111136325.2 10601154903346 11060528058421.1 11547169339449.3 12104766305560.6 12613810026487.1 12754992001720.3 12971193895954.6 13354883448555.2 13879988453498.8 14361323149484.4 14737437524007.2 15071560435451.3 15093445502739.4 14702481664862 15126736000000 15392888561639.4 15726212998539.8 16007259210060.6 16412143224555 16867297663401.5 17132816476510 17552954722021.8 18076890248709.2
United States USA GDP per capita (current LCU) NY.GDP.PCAP.CN 3007.12344537862 3066.56286916615 3243.84307754988 3374.51517105082 3573.94118474743 3827.52710972039 4146.31664631665 4336.42658722171 4695.92339043178 5032.14474262003 5234.2966662115 5609.38259952519 6094.01798986165 6726.35895596695 7225.69135952566 7801.45666356443 8592.25353727612 9452.57651914511 10564.9482220275 11674.1863100131 12574.7915062163 13976.1097504641 14433.787727053 15543.8937174925 17121.2254849995 18236.8277265009 19071.2271949295 20038.9410992658 21417.0119305191 22857.1544330056 23888.6000088133 24342.2589048189 25418.9907763319 26387.2937338171 27694.853416234 28690.8757013347 29967.7127181749 31459.1389804773 32853.6769523009 34513.5615037271 36334.9087770589 37133.2428088526 38023.1611144021 39496.4858751381 41712.8010675545 44114.7477810544 46298.7314440927 47975.9676958038 48382.5584490552 47099.9804711343 48467.5157769259 49886.8181094923 51610.6052783379 53117.6678498178 55064.7445483427 56839.3817742317 57951.5840820997 60062.2223132211 62996.4712852605 65297.517508274
United States USA Gross value added at basic prices (GVA) (current US$) NY.GDP.FCST.CD 986669206000 1069033116000 1177819686000 1313388687000 1423649237000 1554103987000 1732147350000 1929265257000 2189637599000 2455764604000 2666778413000 2982872251000 3117871702000 3392061589000 3768904031000 4052205171000 4281152710000 4537952130000 4891474478000 5270141879000 5565147896000 5728527175000 6067041691000 6392114017000 6774513660000 7116656796000 7527600505000 8258301438000 8727890386000 9283911154000 9885421922000 10223700386000 10552793923000 11053215533000 11771382054000 12564941861000 13303133157000 13933835864000 14190883805000 13977396558000 14482933327000 14998081588000 15624175306000 16174917460000 16883345419000 17561846885000 18046681221000 18832989611000 19837954410000
United States USA Adjusted net national income (annual % growth) NY.ADJ.NNTY.KD.ZG 2.69074408984405 5.50496313744024 5.42304542694052 -4.17399767369841 -0.315810981059585 5.00697312287495 3.99210944691359 5.10658258861325 -0.43479705779562 -2.304937401041 4.04613143934967 1.13240722734898 3.22774964582169 8.01412744830881 4.2313397926002 3.47383574248808 3.61522720680611 5.79028800374604 2.31056542789017 1.31876982960286 0.345254913126752 3.50353447981122 2.31569643947955 4.49492488717237 3.35101707771257 4.35612166099941 5.47706797200232 5.88911574509527 4.11796521279011 3.97066609958978 1.4411219784336 1.55844864752007 2.13982764838765 3.66775918968676 3.04379299420614 3.60154606242516 0.242325892998551 -2.93775048356657 -1.25606551294443 4.35047298002908 2.24940861885376 3.84663029647197 1.33612564336538 3.51771971577877 3.55804807579321 0.860275411868756 2.14852504719639 2.40715623541314
United States USA Adjusted savings: net forest depletion (current US$) NY.ADJ.DFOR.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 117125420.227665 36317398.3948035 386163318.414693 463657792.338173 485471093.992253 544465952.071219 775762239.215711 410384980.798647 302315281.110931 122726990.123849 106012776.216768 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Food, beverages and tobacco (% of value added in manufacturing) NV.MNF.FBTO.ZS.UN 12.2676968051785 12.0878585691326 11.2006375066407 10.7221532422798 10.9652480097979 10.6748293575399 10.5780003954393 11.619283065513 11.7055575063045 10.8452860139464 10.5431230814932 10.6794177687051 11.7566985048892 11.1704529835654 10.3647129494551 10.3190611533877 9.9009900990099 10.5766982725029 10.4579237592903 11.8519059442091 11.7426998999363 11.0972873750765 11.6444542571555 12.0980077058607 11.6987303636755 11.6917236021114 11.5791169341229 12.368864920468 12.9679256663384 13.0117695177248 12.670906972883 12.1918607096471 12.0788645551512 12.0788645550353 12.0686400735183 12.5127631359993 12.5607180882367 13.0158540152157 14.6407752675954 14.2388857772482 14.7378653698186 14.3994430385016 14.3545990531261 13.5902790533614 13.4504114616068 14.2293672655378 17.033950017891 15.8252144619544 15.3098415659319 14.9283642109049 14.9692409604169 15.1440261216529 15.5664896526005 16.1396526906878 15.8940347348657 15.8940347345216
United States USA Financial intermediary services indirectly Measured (FISIM) (current LCU) NV.FSM.TOTL.CN
United States USA Imports of goods and services (constant 2010 US$) NE.IMP.GNFS.KD 259281638544.194 273120247869.173 303854673197.847 317954931182.548 310752173376.904 276214566746.317 330223649577.49 366323724904.087 398073197806.297 404692348784.924 377755539625.086 387621173504.766 382686964253.361 430978748954.913 535892388882.96 570669376442.893 619343427791.02 656149582975.847 681923819177.432 711954019692.234 737421144251.167 736317952250.014 787932301350.426 856062054852.317 958176427700.948 1034838520458.7 1124833555341.46 1276318780061.47 1425504837712.37 1586565285210.12 1790995370059.53 1740796891792.59 1804104704273.72 1892824897967.59 2108584735136.21 2246246196027.59 2395189161632.12 2455015748922.05 2400348833838.71 2086299146359.86 2360183000000 2493194168030.07 2560677222630.83 2600198212612.77 2730143825236.22 2871445169026.27 2918848090302.51 3054758731741.13 3179874980081.5 3214184340162.07
United States USA Gross fixed capital formation (current LCU) NE.GDI.FTOT.CN 279724000000 316688000000 336702000000 347912000000 395754000000 467452000000 558153000000 641769000000 672378000000 748760000000 752891000000 814433000000 947866000000 1027702000000 1080662000000 1119664000000 1176882000000 1242441000000 1269272000000 1238832000000 1292796000000 1377895000000 1486873000000 1594003000000 1721214000000 1851279000000 2016953000000 2194721000000 2372714000000 2385009000000 2354119000000 2477183000000 2703389000000 2990493000000 3182858000000 3231084000000 3136450000000 2723344000000 2756059000000 2922919000000 3171573000000 3321886000000 3562780000000 3722979000000 3798418000000 3999131000000 4279014000000 4454940000000
United States USA Final consumption expenditure (% of GDP) NE.CON.TOTL.ZS 78.2174278838315 78.0269562604627 77.6829983347797 76.3798464405182 77.3578006824817 78.7743396656427 78.0486620134813 77.5830448846349 76.2469281539922 75.7469358673088 77.146662924215 76.11350272307 78.5272635324777 79.1680769436093 77.4484330221841 78.4394208868031 79.1388432823518 79.3615112821986 79.2612650049518 79.0237132150922 79.7763730005514 80.3540490951066 80.4551980291786 80.5566300442994 79.9900812873358 79.9022716584013 79.4919734893143 78.7790743139551 78.8370222236529 79.23607178013 79.9830441609083 81.3000586157408 82.1816259565578 82.6487470578517 82.4101130691301 82.1517109550549 82.0412942525059 82.3786841774658 83.7956613256529 84.9392199324697 84.6847275098968 84.6247023707987 83.4894601738567 82.5102200102007 82.0906979039885 81.7851891594243 82.4517741764313 82.3954432804383 82.0429539118074 81.8339572400347
United States USA Merchandise exports by the reporting economy (current US$) TX.VAL.MRCH.WL.CD 20535000000 20959000000 21616000000 23275000000 26484000000 27374800000 30404400000 31561400000 34564600000 37962000000 43218800000 44142600000 49812500000 71428700000 98597700000 107695000000 115105000000 121348000000 143814000000 182065000000 220913000000 233896000000 212441000000 200593000000 217998000000 213222000000 217426000000 252853000000 319109000000 363546000000 392743000000 421588000000 447215000000 465539000000 512207000000 583021000000 622662000000 687711000000 680522000000 690793000000 772147000000 731026000000 693255000000 723792000000 816546000000 904308000000 1036990000000 1162690000000 1300120000000 1056910000000 1277490000000 1482480000000 1545800000000 1578430000000 1620480000000 1504570000000 1453700000000 1545610000000 1664240000000 1641120000000
United States USA Fuel exports (% of merchandise exports) TX.VAL.FUEL.ZS.UN 3.75183822542366 4.1250641516366 3.49418505430138 3.50513775253345 3.26933921698858 3.54566254677117 3.09216193431342 3.01682199217479 3.744205093446 3.44293412487328 3.16971262813456 2.37808136509323 3.54514319364962 4.212468496815 3.72914030865486 3.54412359294581 2.77012812225569 3.24108226102482 3.73592035444143 4.53751586869299 6.17334460360361 4.91038812628473 4.41973450336194 4.85418230686114 3.97392020545445 3.17126748849486 2.8238903031564 3.25140191503474 3.012912024288 2.61777454492857 2.21655716454674 1.84602214970637 1.89191251927575 2.07124626296476 1.91675770574592 1.56887699110576 1.52518599921472 1.84678858931191 1.88077482714846 1.83394389932985 2.10931027144065 2.5706533002655 3.31136445717427 3.7372185207955 3.96254139881437 6.48428929958545 5.80419140404513 7.18456859697087 9.92432615355966 10.063657372177 10.7639936765535 10.9856786837279 8.00341812992007 7.57865377522266 10.5104512931032 13.5299941370328 14.1993658855609
United States USA Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) TM.VAL.MRCH.R5.ZS 2.18914456393353 2.27593305630742 2.14005672577028 2.2966111380198 2.106731080509 2.0687036560191 1.72735239070619 1.45399901907243 1.26133718710495 1.26038712634339 1.02149089418516 0.966290613440672 0.959098033267607 0.834986794743743 0.721207552653328 0.757231130823761 0.774518998063891 0.681870594174806 0.727314745146936 0.682287240500182 0.623541310098024 0.660552270408443 0.784453710641002 1.05472382455477 1.02215279833305 0.933673229576503 0.90440357824637 0.964455395352676 1.00125276216658 1.04476550321993 1.01927607376203 1.07286817443753 1.24424546875905 1.31 1.3389191745411 1.32082885911263 1.3373666925069 1.43417308974055 1.53053955094406 1.49330459331604 1.48012113870382 1.49447960886991 1.61627897306243 1.60672177490405 1.5955148249392 1.65419713822302 1.7139172571905 1.73174249897144 1.70806882764925 1.94231620696321 2.08129585594374 2.13122850603501 2.2603424124994 2.35612898098635 2.43012137638009 2.56257566125104 2.66460050438977 2.59878673577585 2.63710087925183 2.84897040670029
United States USA Import unit value index (2000 = 100) TM.UVI.MRCH.XD.WD 91 91 87 88 86 85 87 96 101 102 111 109 111 104 107 117 116 108 103 101 100 96.5 94.0999999999999 96.9 102.3 110 115.4 120.2 134.1 118.6 126.8 140.6 141 139.5 138 123.9 119.8 123.3 127.1 125.5
United States USA Binding coverage, all products (%) TM.TAX.MRCH.BC.ZS 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.98 99.96
United States USA International tourism, receipts for passenger transport items (current US$) ST.INT.TRNR.CD 18909000000 20424000000 20872000000 20094000000 20043000000 21445000000 19046000000 17790000000 17833000000 21562000000 23259000000 24881000000 27881000000 32065000000 26357000000 31506000000 36738000000 41192000000 42124000000 42482000000 37972000000 35683000000 37290000000 41262000000 40143000000
United States USA Completeness of birth registration, male (%) SP.REG.BRTH.MA.ZS 100
United States USA Population ages 75-79, male (% of male population) SP.POP.7579.MA.5Y 1.52262656338568 1.52491304483696 1.52644236525292 1.53635814193035 1.55590959687736 1.57871787222058 1.58943702654216 1.59473721510068 1.5973058410973 1.59587875223022 1.58828746680872 1.58519187335662 1.57088698683476 1.55664152490852 1.55355782109596 1.56358537489139 1.57378338134818 1.62153853610517 1.71097812057226 1.81874801776342 1.91137125787787 1.91297841135211 1.88368634415972 1.8509797457927 1.83991254429805 1.8552264338156 1.87834662165809 1.91484077506094 1.96046084313938 2.0052090894246 2.04174035617977 2.04647684999926 2.04744782612756 2.05679796061845 2.08047270937465 2.11484918190655 2.13228227131174 2.15143901277463 2.1717346942709 2.18919220916261 2.20045334159768 2.1910195978316 2.17932349099993 2.17043386106477 2.16478498817863 2.16022906834912 2.13926055789478 2.11179886642484 2.08646003887608 2.07540681500845 2.08580107411718 2.10474332431997 2.14396056132428 2.19663885924873 2.25398023443828 2.31244531096651 2.35540467278389 2.39694938868892 2.44907815293887 2.52832191438559
United States USA Population ages 50-54, male (% of male population) SP.POP.5054.MA.5Y 5.43991055209002 5.42012900854829 5.41820045573206 5.41914646590241 5.41358755203518 5.40324287643647 5.385376677749 5.37487216685156 5.37362659522599 5.38847892774671 5.42316741609777 5.44382136886086 5.47786941093336 5.51347486487009 5.5334803519797 5.52795962150278 5.45990658442631 5.36970391014842 5.26209743770585 5.1405102188174 5.00559527221138 4.87981571333267 4.75005650094382 4.63051344567549 4.54061918423415 4.49035176892225 4.46055018639165 4.47300746603066 4.51752964181468 4.57513211672748 4.63320111437573 4.67187633911261 4.7136927137447 4.7774830973856 4.88416784862106 5.03714655609203 5.20709262334344 5.42816923874986 5.68317110370376 5.93609732862083 6.15784895745068 6.33632217564705 6.4715441347293 6.57762500942605 6.67775776700992 6.78355785977559 6.87078786754112 6.9646041608846 7.0572656032554 7.13394517298555 7.18366661990286 7.18233573261858 7.16366176010478 7.12449620306773 7.06166999766553 6.97472123127886 6.86035316623749 6.7232638644751 6.57490714558807 6.43089296035648
United States USA Population ages 15-64, male (% of male population) SP.POP.1564.MA.ZS 60.1706223898532 60.017334262866 60.0473083939574 60.211017765378 60.4417702735479 60.708375874041 60.9348351198148 61.197225172564 61.5053587452554 61.8687922250012 62.2884851484562 62.8447428167005 63.4002876873496 63.9672999457744 64.5571069363767 65.1645105627714 65.3904414567072 65.6662247943544 65.9587859595382 66.2274638398081 66.4550673397618 66.7030625467586 66.9197326903541 67.0939768473982 67.2246847079704 67.3136927982163 67.2516887432401 67.1699928555686 67.0776873597978 66.9896019152604 66.9164831644242 66.7360301868929 66.5936083398436 66.5049497744257 66.483411217637 66.5285174516519 66.5252999881633 66.6120173205714 66.758541068653 66.9235587292949 67.0866133356733 67.2307802166496 67.3330306739342 67.4280647772253 67.5580184171589 67.7302643015539 67.6963623081683 67.7169471222532 67.7533099857228 67.7515996953805 67.6894810469317 67.6039540796811 67.498364180454 67.3654210811618 67.2109241050275 67.0399868199102 66.8537256836091 66.6387612512319 66.4088716329403 66.17957827562
United States USA Population ages 00-04, male (% of male population) SP.POP.0004.MA.5Y 11.4381657574772 11.3816762735344 11.1839079498871 10.8828231592049 10.5426197641903 10.213357205912 9.87073099169291 9.54336279803007 9.24541213937662 8.9766714097543 8.72431980651409 8.38807572435856 8.17771069358024 8.04827550755403 7.94837181034015 7.8483183575798 7.86495246651817 7.81311053070737 7.72025040490504 7.63469649514388 7.59641453243248 7.62110762633882 7.63579728849894 7.6522218605564 7.67448016277094 7.70932180494095 7.78002142570243 7.84062974200812 7.89314556170165 7.93583476042506 7.96659372226741 8.00011105430069 8.00133567068562 7.9715459514828 7.91266672464897 7.83547661924379 7.77070626412428 7.63455764674331 7.46708287060376 7.31699075599539 7.20725753008823 7.0537569869452 7.01971888404147 7.0580229474647 7.10312161391804 7.11841904407602 7.23697107234268 7.25067063825548 7.18652104580042 7.09043348508328 6.99951006124005 6.93015503773079 6.81262256967348 6.67385958327522 6.53840482312872 6.42208228065959 6.26994925869987 6.19046917674438 6.16244831397529 6.15333030446144
United States USA Contraceptive prevalence, any methods (% of women ages 15-49) SP.DYN.CONU.ZS 66.5 67.6 69.6 79 67.7 69.5 74.3 70.7 76.4 72.8 77.1 76.4 76.4 74.1 74.1 72.70028 75.9371810574748
United States USA Net migration SM.POP.NETM 1835728 1556054 2889346 3770881 3382460 3366853 4463754 8859954 5334893 5428756 4961716 4774029
United States USA Unemployment with basic education (% of total labor force with basic education) SL.UEM.BASC.ZS 12.6000003814697 12.039999961853 11.3900003433228 10.3400001525879 9.52999973297119 9.3100004196167 8.67000007629395 9.67000007629395 10.1099996566772 10.3199996948242 9.88000011444092 8.80000019073486 8.13000011444092 7.94999980926514 10.460000038147 14.8500003814697 15.2700004577637 13.6000003814697 12.7399997711182 10.8100004196167 8.84000015258789 7.76000022888184 7.48999977111816 6.55000019073486 5.86999988555908 5.40000009536743 11.7200002670288
United States USA Part time employment, female (% of total female employment) SL.TLF.PART.FE.ZS 38.8199996948242 38.2700004577637 38.1500015258789 36.9500007629395 38.5 35.7900009155273 34.3499984741211 35.3699989318848 35.0699996948242 35.310001373291 35.5699996948242 34.9099998474121 34.5099983215332 34.2099990844727 34.1800003051758 37.8699989318848 35.9599990844727 35.7900009155273 34.9799995422363 34.0900001525879 34.6500015258789 35.0200004577637 33.439998626709 33.5900001525879 32.0900001525879 31.3700008392334 34.1800003051758
United States USA Labor force with advanced education, male (% of male working-age population with advanced education) SL.TLF.ADVN.MA.ZS 86.4700012207031 86.1100006103516 85.5100021362305 85.3600006103516 85.2699966430664 84.8300018310547 84.5500030517578 84.5599975585938 84.0999984741211 83.2200012207031 83.0199966430664 83.0100021362305 82.8600006103516 82.7799987792969 82.379997253418 81.7600021362305 81.1100006103516 80.6500015258789 80.25 79.5500030517578 78.9300003051758 78.5999984741211 78.3399963378906 77.8099975585938 77.5899963378906 77.5100021362305 76.1500015258789
United States USA Children in employment, work only, female (% of female children in employment, ages 7-14) SL.TLF.0714.WK.FE.ZS
United States USA Children in employment, self-employed (% of children in employment, ages 7-14) SL.SLF.0714.ZS
United States USA Wage and salaried workers, total (% of total employment) (modeled ILO estimate) SL.EMP.WORK.ZS 90.9800033569336 91.3000030517578 91.1800003051758 91.1999969482422 91.4400024414063 91.5599975585938 91.7300033569336 92.0599975585938 92.3399963378906 92.4400024414063 92.5199966430664 92.6399993896484 92.4300003051758 92.4300003051758 92.5299987792969 92.5999984741211 92.7799987792969 92.9800033569336 92.9100036621094 92.9599990844727 93.1800003051758 93.25 93.4100036621094 93.5500030517578 93.5599975585938 93.6100006103516 93.75 93.7200012207031 93.9100036621094
United States USA Employers, total (% of total employment) (modeled ILO estimate) SL.EMP.MPYR.ZS 3.5699999332428 3.4300000667572 3.48000001907349 3.51999998092651 3.42000007629395 3.35999989509583 3.28999996185303 3.17000007629395 3.04999995231628 3.00999999046326 2.97000002861023 2.91000008583069 2.97000002861023 2.97000002861023 2.91000008583069 2.88000011444092 2.78999996185303 2.69000005722046 2.70000004768372 2.65000009536743 2.54999995231628 2.50999999046326 2.44000005722046 2.38000011444092 2.35999989509583 2.33999991416931 2.27999997138977 2.27999997138977 2.20000004768372
United States USA Survey mean consumption or income per capita, total population (2011 PPP $ per day) SI.SPR.PCAP 62.93 69.4
United States USA Poverty gap at $3.20 a day (2011 PPP) (%) SI.POV.LMIC.GP 0.5 0.5 0.5 0.4 0.5 0.6 0.6 0.9 0.9 1 0.9 1
United States USA Out-of-pocket expenditure per capita, PPP (current international $) SH.XPD.OOPC.PP.CD 705.99468994 724.50561523 763.277771 813.05334473 849.9765625 894.31054688 918.9005127 965.97601318 973.92645264 960.36633301 971.56011963 996.30743408 1016.53167725 1033.07006836 1041.08410645 1064.90771484 1105.87902832 1123.42553711 1148.3170166
United States USA Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%) SH.UHC.OOPC.25.ZS 1.0242598131299 1.00145041942596 0.901333522051573 0.866944342851639 1.0775975883007 1.01180747151375 0.992484670132399 0.949145387858152 0.892695877701044 0.973415467888117 0.824999250471592 0.741824973374605 0.723792752251029 0.727770105004311 0.790611933916807 0.854988116770983 0.85646640509367 0.780771672725677
United States USA Prevalence of severe wasting, weight for height, male (% of children under 5) SH.SVR.WAST.MA.ZS
United States USA Mortality rate attributed to unintentional poisoning, male (per 100,000 male population) SH.STA.POIS.P5.MA 0.8 0.9 1 1 1
United States USA People with basic handwashing facilities including soap and water (% of population) SH.STA.HYGN.ZS
United States USA Number of surgical procedures (per 100,000 population) SH.SGR.PROC.P5
United States USA Community health workers (per 1,000 people) SH.MED.CMHW.P3
United States USA Children (0-14) living with HIV SH.HIV.0014
United States USA Women's share of population ages 15+ living with HIV (%) SH.DYN.AIDS.FE.ZS 18.1 18.3 18.6 18.8 19.1 19.4 19.6 19.8 20 20.1 20.3 20.5 20.7 20.8 21 21.1 21.2 21.3 21.4 21.5 21.6 21.6 21.7 21.7 21.7 21.6 21.6 21.6 21.5
United States USA Condom use, population ages 15-24, female (% of females ages 15-24) SH.CON.1524.FE.ZS
United States USA Women Business and the Law Index Score (scale 1-100) SG.LAW.INDX 66.9 66.9 66.9 66.9 66.9 70 70 70 70 72.5 72.5 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 81.3 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 83.8 91.3 91.3
United States USA Tertiary education, academic staff (% female) SE.TER.TCHR.FE.ZS 25.276460647583 33.1651992797852 35.1941719055176 35.1882400512695 36.3970985412598 38.7068290710449 38.6400985717773 38.6275405883789 49.1062889099121 49.1062889099121 49.568431854248
United States USA Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.BA.FE.ZS 31.3907604217529 32.0014686584473 32.6739616394043 33.6941909790039 35.317211151123
United States USA Progression to secondary school (%) SE.SEC.PROG.ZS 99.2321
United States USA Secondary education, general pupils SE.SEC.ENRL.GC 24707907.27378 24787964.41466
United States USA Lower secondary school starting age (years) SE.SEC.AGES 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
United States USA Repeaters, primary, male (% of male enrollment) SE.PRM.REPT.MA.ZS 1.65861
United States USA School enrollment, primary, female (% net) SE.PRM.NENR.FE 95.41847 93.51886 93.06796 92.63905 92.74006 93.57871 94.31605 94.85693 94.57828
United States USA Primary completion rate, male (% of relevant age group) SE.PRM.CMPT.MA.ZS 100.429466247559 104.510192871094
United States USA Literacy rate, adult total (% of people ages 15 and above) SE.ADT.LITR.ZS
United States USA Coverage of social safety net programs in richest quintile (% of population) per_sa_allsa.cov_q5_tot
United States USA Coverage of social protection and labor programs (% of population) per_allsp.cov_pop_tot
United States USA Net primary income (Net income from abroad) (current LCU) NY.GSR.NFCY.CN 6393000000 7594000000 8558000000 12619000000 15520000000 13004000000 16847000000 20292000000 21581000000 31931000000 34185000000 32935000000 36510000000 37085000000 36290000000 25365000000 16957000000 17488000000 22657000000 24789000000 34692000000 31586000000 31077000000 31158000000 22966000000 27952000000 30869000000 23300000000 17411000000 25536000000 35024000000 48749000000 45243000000 58360000000 78184000000 77955000000 50450000000 109024000000 154608000000 141937000000 195720000000 236378000000 232301000000 230732000000 241062000000 224626000000 218168000000 243296000000 267900000000
United States USA GNI growth (annual %) NY.GNP.MKTP.KD.ZG 3.35082786973837 5.2750711254571 5.87217415408354 -0.42952828465603 -0.428626321713026 5.51833040053786 4.69532101514933 5.47086388205375 3.46296998167507 -0.283510837385705 2.36712913640243 -1.72852300151017 4.51270824443131 7.10082732847277 3.85009517831045 3.24369392585002 3.44785390897661 4.25200404502333 3.67934182066232 2.02876561185923 -0.173866498222168 3.48466694296062 2.73033664367685 3.88518328513348 2.73558780766277 3.78930444220723 4.33323689035177 4.3998015145186 4.82886281234616 4.20531638593246 1.11926511447908 1.69503747399608 2.95801262149202 3.93193251716772 3.46783210661998 2.61893956850578 2.26717101191987 0.145207706805706 -2.5902888628475 2.88559676392546 1.7594844098515 2.16544435805928 1.78711945175198 2.52937751042299 2.77327849640952 1.57416332128034 2.45224272429417 2.98488508051594
United States USA GDP per capita (constant 2010 US$) NY.GDP.PCAP.KD 17562.6661462696 17671.2247077149 18463.0138577112 18999.9685105065 19824.6714466982 20831.3876137092 21930.6836563618 22235.5094759342 23071.3021126072 23555.1926140072 23207.2199345419 23670.3457329415 24649.8447340946 25794.1281646904 25421.3696690803 25120.2308506013 26223.3764438993 27161.4266864969 28362.7717999046 28939.6399380538 28589.6727263776 29028.9014949687 28235.0896669897 29260.5861818018 31107.5596252041 32118.7594245791 32925.2266777911 33761.1788391719 34853.4884701903 35793.8965040787 36059.3016316846 35542.1411056857 36287.3228601842 36797.7976453964 37813.7581772808 38369.1618432814 39356.091800086 40614.4056076014 41942.7095076912 43434.6926738132 44726.9653960074 44728.5974759116 45087.3672762519 45980.5145846469 47287.5937699268 48499.8123738133 49405.7672964793 49856.2814902456 49319.4788646606 47648.8132482238 48467.5157769259 48866.0532763761 49603.2534722502 50171.2371312632 51065.6826923239 52168.1262363804 52643.9178421402 53552.4850143768 54832.9782332551 55753.1443685885
United States USA Gross value added at basic prices (GVA) (current LCU) NY.GDP.FCST.CN 986669206000 1069033116000 1177819686000 1313388687000 1423649237000 1554103987000 1732147350000 1929265257000 2189637599000 2455764604000 2666778413000 2982872251000 3117871702000 3392061589000 3768904031000 4052205171000 4281152710000 4537952130000 4891474478000 5270141879000 5565147896000 5728527175000 6067041691000 6392114017000 6774513660000 7116656796000 7527600505000 8258301438000 8727890386000 9283911154000 9885421922000 10223700386000 10552793923000 11053215533000 11771382054000 12564941861000 13303133157000 13933835864000 14190883805000 13977396558000 14482933327000 14998081588000 15624175306000 16174917460000 16883345419000 17561846885000 18046681221000 18832989611000 19837954410000
United States USA Adjusted net national income per capita (current US$) NY.ADJ.NNTY.PC.CD 4548.67644425611 4858.80097717241 5306.78961115857 5875.29898526533 6129.79906338675 6542.54304613688 7219.84610933891 7956.49717331644 8899.93135047429 9544.21985292768 10140.7654057859 11451.4085061953 12039.058771981 12768.5019826183 14268.7721776752 15158.3661051363 15844.5673777963 16736.2538451243 18148.5756999094 19122.7005176311 19887.7359644946 20270.9684311349 21188.7119537527 21893.6667590844 23109.3226526938 24112.6946039915 25335.079088418 26827.5024041734 28295.3842816892 29596.3123437331 31215.3403662596 31896.6726049403 32543.6785224232 33629.5583475138 35553.4548572024 37570.5706080923 39758.7519186047 40523.9246673858 40068.1541146887 39044.6403367498 41003.0796955054 42635.9254037922 44736.3414864788 45675.5239464649 47714.8778599281 49199.6628461449 49634.9847657103 51309.0408053664 53497.2922694808
United States USA Adjusted savings: net forest depletion (% of GNI) NY.ADJ.DFOR.GN.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00290468597580893 0.000842616586044776 0.0085499906103837 0.00960177068748004 0.00923634901422507 0.00972541797478983 0.0131434111034143 0.00673120893588628 0.00469764178975815 0.00182256041675105 0.00147850857964063 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Machinery and transport equipment (% of value added in manufacturing) NV.MNF.MTRN.ZS.UN 21.2727082898309 21.4191788827741 22.2418983531078 22.6378820042456 22.5466932026944 23.0807121244107 23.0508139458248 21.6182808271807 21.6682095317139 23.3771755768468 23.9602930983266 22.8787609834029 23.0278830228918 23.5170531524279 23.9680768900712 24.6263867241221 24.5442454693231 23.9044031692428 24.3035243346919 23.7670999464486 23.3546347675794 24.3840505812768 24.4640921681185 23.8804236287247 23.704755756402 23.5260194314732 23.6829185971587 22.6221721339374 22.53678126694 21.8559732594301 22.2173327915964 22.6881667105046 21.8423096316637 21.8421335322506 30.0891625663845 30.1008937158878 30.6708208504741 29.7183564457992 27.7032542086865 27.58130784971 27.0811513557893 26.0515845989443 25.1048162624569 24.7305740909646 25.4607479214801 24.9621722205881 27.5408754621367 28.4385957914354 27.804348963786 28.4440006215526 28.353109291864 29.3744351032914 28.9389653010286 27.9264519961141 28.5601258727842 28.5601258724125
United States USA Financial intermediary services indirectly Measured (FISIM) (constant LCU) NV.FSM.TOTL.KN
United States USA Imports of goods and services (annual % growth) NE.IMP.GNFS.KD.ZG 5.33728859578329 11.253074632312 4.64046112449299 -2.26533923498405 -11.1141963241224 19.5533072232127 10.9320078597597 8.66705341307694 1.66279744908815 -6.65612019617254 2.61164505740174 -1.27294626523897 12.619135014377 24.343112086722 6.48954683465905 8.52929092700279 5.94276996142531 3.92810372364956 4.4037471151875 3.57707434111292 -0.149601351921348 7.00979093918477 8.64665065578909 11.9283844284217 8.00083267981186 8.69652927520259 13.4673458131346 11.688777128525 11.2984848060014 12.8850723481156 -2.80282568599104 3.63671447137877 4.91768540283147 11.3988270864513 6.52861886920985 6.63074982020828 2.49778131298655 -2.22674396721681 -13.0835019915256 13.1277364570662 5.63562944187271 2.70669069686136 1.54338038518304 4.99752718823979 5.17560073150445 1.65083846237313 4.65631088819482 4.09578167468092 1.07895311279486
United States USA Gross fixed capital formation (constant 2010 US$) NE.GDI.FTOT.KD 898894814072.499 962509578390.661 924941107969.148 857419254601.668 926288146295.422 1021963772048.9 1130834931499.85 1195280060847.89 1143973163708.39 1165797702920.09 1107909064897.84 1188335094616.11 1366694763221.88 1462427689530.55 1508433841782.85 1535104609578.78 1570595708439.88 1616622255678.43 1614927532418.66 1548602181799.02 1612095547300.54 1694231839760.37 1797660460521.21 1890343856436.7 2035035345964.03 2181173906547.13 2383886116890.68 2582331898173.21 2747537795088.66 2735912673465.38 2689519988508.87 2803472403502.69 2971479206572.68 3151532627337.33 3235814274022.58 3217081027211.22 3081783838865.65 2695880299712.99 2756059000000 2882190113614.94 3080194003839.84 3190108219025.02 3353869959121.14 3476334838184.51 3540253584160.97 3665522282681.56 3841399595171.99 3928450098881.06
United States USA Gross national expenditure deflator (base year varies by country) NE.DAB.DEFL.ZS 20.1931101860362 21.2719307344774 22.2579929976451 23.5990100504313 25.9295307154116 28.0382439545505 29.7468357476788 31.8421491306796 34.2482880527539 37.2973378471713 40.954626180997 44.887708314909 47.1097632275462 48.8464460201676 50.9752379266282 52.4173593946929 53.4424276550223 54.9695667397197 56.8596519760437 59.114209965176 61.3683029263379 63.174197150347 64.6900934762488 66.1967114359039 67.6917381358368 69.1593595600811 70.4469481448766 71.579860225172 72.1335842269834 73.3028774965988 75.1922990672123 76.4953468328966 77.5656781062119 79.1519606710519 81.4700414109835 84.3228024792427 86.9663912128741 89.2708049594685 91.8025564910313 91.3931585783096 92.7405368138225 94.9937459928512 96.6820533732721 98.0815364559478 99.701665107574 100 100.743740633696 102.596467425885 105.004639621499 106.650839639979
United States USA Households and NPISHs Final consumption expenditure (current LCU) NE.CON.PRVT.CN 646724000000 699937000000 768153000000 849575000000 930161000000 1030547000000 1147666000000 1273975000000 1422252000000 1585420000000 1750667000000 1933951000000 2071256000000 2281605000000 2492340000000 2712830000000 2886278000000 3076279000000 3330012000000 3576758000000 3808994000000 3943449000000 4197559000000 4451984000000 4720965000000 4962590000000 5244596000000 5536790000000 5877248000000 6279078000000 6762144000000 7065634000000 7342686000000 7723109000000 8212662000000 8747118000000 9260345000000 9706431000000 9976330000000 9842209000000 10185836000000 10641109000000 11006814000000 11317210000000 11822753000000 12297480000000 12769962000000 13340354000000 13993281000000 14544601000000
United States USA Logistics performance index: Ability to track and trace consignments (1=low to 5=high) LP.LPI.TRAC.XQ 4.01 4.17 4.11 4.137596 4.200025 4.09
United States USA Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P2 0 0 0 0 0 0 0 0 0 0 0 0 0.0384459 0.141461 0.28086 0.502282 0.83657 1.40512 2.09545 2.96895 4.29306 6.16859 9.20314 12.7414 16.4134 20.3568 25.151 30.8912 38.8618 45.1498 49.3596 55.4273 63.2174 69.0524 77.1093 82.9318 86.0995 89.545 92.2678 95.449 97.0686 98.1977 111.556 119.144 122.558 123.108 123.688 123.688
United States USA CPIA structural policies cluster average (1=low to 6=high) IQ.CPA.STRC.XQ
United States USA CPIA economic management cluster average (1=low to 6=high) IQ.CPA.ECON.XQ
United States USA Public private partnerships investment in energy (current US$) IE.PPN.ENGY.CD
United States USA Commercial service exports (current US$) TX.VAL.SERV.CD.WT 9620000000 10520000000 11630000000 14080000000 16970000000 18830000000 21640000000 23190000000 26870000000 31801300000 38110000000 46020000000 50850000000 51040000000 60414000000 63493000000 74898000000 84322000000 98260000000 115100000000 134280000000 149420000000 160905000000 168259000000 183327000000 200341000000 218553000000 234825000000 240486000000 269778000000 288867000000 275842000000 280408000000 288703000000 332552000000 362907000000 403865000000 474737000000 521706000000 501920000000 562835000000 623199000000 662674000000 697679000000 737008000000 748278000000 761751000000 810464000000 840484000000 853275000000
United States USA Ores and metals exports (% of merchandise exports) TX.VAL.MMTL.ZS.UN 3.97474148584131 4.0676449327757 4.53292692285744 4.53289874831286 4.39582427726817 4.44412811254761 4.50093662031963 5.03147990952602 5.21072105087804 3.30624734833947 3.08763597135384 3.59623023886981 3.74654617381584 3.35627164331414 2.87842286073938 2.7072826123465 2.92213864719259 3.95763854259628 5.10414510792435 3.05255473730476 2.7254445504212 2.87969206840239 2.87971621680694 2.81506006676623 2.6555660309349 2.55384204001357 3.21408660909693 3.04268821212894 2.77790675977808 2.30243112932218 2.09421720177806 2.15048546036731 2.62197237487825 2.17800837933151 2.11690771905574 1.90405140377849 1.76567167818683 1.86988994936663 1.91205830386319 1.91170026820431 2.01323529883149 2.39014858804396 2.7857976488932 3.52056099629305 3.73864808681137 3.9687189251926 3.39369226490049 3.95873986278417 4.02265726273792 3.50844555717551 3.21071358061703 3.06248036215257 2.8088360020599 2.60130439892157 2.74624456588234 2.95741194848751 2.82115323144965
United States USA Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) TM.VAL.MRCH.WR.ZS
United States USA ICT goods imports (% total goods imports) TM.VAL.ICTG.ZS.UN 17.6557019039 15.2612550306 14.8356364606 14.0809589655 14.1697929377 13.6444731873 13.4638580117 12.8047318752 11.836255103 14.3971175014 14.2246207602 12.8381063655 12.813279788 12.9609184364 12.8642012837 13.7811887363 14.0620625382 14.2753493832 13.6039431583 12.9293600814
United States USA Tariff rate, most favored nation, simple mean, all products (%) TM.TAX.MRCH.SM.FN.ZS 5.75 5.73 5.72 5.74 5.76 5.34 5.09 4.99 4.51 4.19 4.15 4.09 4 3.86 3.73 3.69 3.68 3.63 3.68 3.7 3.71 3.72 3.57 3.55 3.54 3.56 3.57 3.97 4.2 10.17
United States USA International tourism, expenditures (current US$) ST.INT.XPND.CD 61042000000 65477000000 71948000000 78423000000 77260000000 85490000000 82185000000 79362000000 81708000000 93343000000 98694000000 105403000000 112928000000 119135000000 115123000000 123831000000 130606000000 138167000000 132322000000 140228000000 144669000000 147640000000 158329000000 172549000000 182366000000
United States USA Completeness of death registration with cause-of-death information (%) SP.REG.DTHS.ZS 98.4 98 97.4 98 100
United States USA Age dependency ratio (% of working-age population) SP.POP.DPND 66.1317353094272 66.648032380909 66.6921583715086 66.3929316143002 65.9242908824572 65.3668336343763 64.8140334487465 64.1800460367091 63.45836481971 62.6262953135837 61.6769779906992 60.4453639270556 59.2413382611842 58.0471560760278 56.8355601146168 55.607045110682 54.887857206147 54.0845251063521 53.2849135684437 52.5906009871555 52.0443180765662 51.6006137966402 51.2637470864716 51.0470890165749 50.9331727816976 50.9029775938533 51.1418728748516 51.4064047066971 51.6866445101928 51.9622779608306 52.2122880402135 52.6054419930296 52.9175936951267 53.1200597316629 53.1788075082869 53.0872508390412 53.0414165201833 52.792626709104 52.4147508752781 52.002160539884 51.5992648229178 51.1542889678744 50.801811319259 50.4796955067234 50.1106892502882 49.6845677496855 49.6971103492389 49.6149866977895 49.5214275340227 49.5258139285031 49.670515189153 49.8697528061813 50.1154428267481 50.4259151723395 50.7930402585681 51.2095505815438 51.6461675477204 52.1558056764975 52.7106770901698 53.2776665247595
United States USA Population ages 60-64, male (% of male population) SP.POP.6064.MA.5Y 3.86233136824685 3.87328984877542 3.91311869290379 3.96060013902792 3.99755002213062 4.02415594991841 4.0539103027975 4.07261961927323 4.07642022149277 4.07222056656096 4.07221732279841 4.08386615058125 4.10120720687831 4.11811347349169 4.13313795008732 4.14954194983918 4.18758078363676 4.2187911392539 4.23545719256441 4.24425950384919 4.25632789925065 4.2676929117319 4.29679821937773 4.32568012754594 4.33745327194285 4.32681998625646 4.28405535158744 4.23331195996455 4.17401067156794 4.10667868793979 4.03316802476497 3.93480711805169 3.83409343780244 3.74235155162352 3.67575486048915 3.6424327510363 3.62181349968985 3.63920004269826 3.68354869664785 3.73806531199467 3.79251857509731 3.84426433505808 3.89121741650632 3.94968859299058 4.04534579637874 4.19105270749568 4.36177992373809 4.57870458426628 4.8168099004989 5.04144483479126 5.2333257170146 5.37017817204137 5.47950591725442 5.57068236155061 5.66014637941102 5.7569837403912 5.84568861716623 5.93526487842091 6.01922431977083 6.08804539615557
United States USA Population ages 20-24, male (% of male population) SP.POP.2024.MA.5Y 6.20607246724002 6.30699274780914 6.44754540117856 6.61336064155782 6.79989164496666 7.01171574506285 7.29607061629574 7.5546581889677 7.74861691265159 7.87874796987423 7.98668104890563 8.30894028732054 8.61486269552285 8.87205346455504 9.07041647912044 9.22296493848087 9.34577119704423 9.46572465781813 9.57400618809649 9.65783951296147 9.71329355590902 9.73836060397443 9.72117490703597 9.64956569003074 9.51834318388478 9.33614114953065 9.11126773896301 8.8599937810821 8.60060474593664 8.35129579754211 8.12217446415928 7.88592373353915 7.65783838744941 7.45079685455861 7.27528077867513 7.13938354573221 7.07737909408996 7.04066764805926 7.01773235011081 7.00128063821266 6.99465834882201 6.99617693281969 7.02428447678837 7.08105756070197 7.15812158483201 7.24286528170966 7.2607241143573 7.26787867299723 7.26999159454518 7.27207390527201 7.27732506149134 7.33729621737338 7.40002137382809 7.45089277593952 7.4687365191099 7.44023892163851 7.37593334184031 7.26898871763019 7.13941249134994 7.01578741895988
United States USA Population ages 0-14, male (% of male population) SP.POP.0014.MA.ZS 31.6295217709209 31.7568162727262 31.719304691439 31.5564445248088 31.3271860544529 31.0611260292227 30.7645293812383 30.4367376191759 30.0675816355913 29.6522249173906 29.1951223079057 28.5396644348039 27.9095494769309 27.2811259811074 26.635515033648 25.9775276589738 25.6078350516792 25.1848157315449 24.7366102168815 24.3104103388438 23.9335047146694 23.5755084487836 23.2714679688317 23.0223416180146 22.8197919966574 22.6595808912453 22.6024976025197 22.580123499453 22.5844876999451 22.6039521035857 22.6288526173018 22.7493043817806 22.852358820917 22.9208588972615 22.9433910151616 22.9212021836356 22.9416916445488 22.8889518268738 22.7863362574313 22.666680209906 22.5423645339083 22.3576435372118 22.2159758944611 22.0761290084428 21.8919110826893 21.6540966834618 21.5812193485443 21.4435490470839 21.267240349515 21.0904012194301 20.9257300149773 20.7251314688219 20.5059359734318 20.2856385591052 20.0724561819967 19.8686305754807 19.6573709254641 19.4833737078997 19.3259514439618 19.1591807905675
United States USA Life expectancy at birth, female (years) SP.DYN.LE00.FE.IN 73.1 73.6 73.5 73.4 73.7 73.8 73.9 74.3 74.1 74.4 74.7 75 75.1 75.3 75.9 76.6 76.8 77.2 77.3 77.8 77.4 77.8 78.1 78.1 78.2 78.2 78.2 78.3 78.3 78.5 78.8 78.9 79.1 78.8 79 78.9 79.1 79.4 79.5 79.4 79.3 79.5 79.6 79.7 80.1 80.1 80.3 80.6 80.6 80.9 81 81.1 81.2 81.2 81.3 81.2 81.1 81.1 81.1
United States USA International migrant stock (% of population) SM.POP.TOTL.ZS 9.19566042513874 10.6848170440958 12.3063192386484 13.2566831184215 14.2584836388032 14.4906535240608
United States USA Share of youth not in education, employment or training, female (% of female youth population) SL.UEM.NEET.FE.ZS 22.3299999237061 22.3299999237061 21.1299991607666 19.7199993133545 18.6000003814697 18.2999992370605 18.2000007629395 18.5300006866455 19.3099994659424 19.1100006103516 19 18.8199996948242 18.1900005340576 17.7299995422363 18.3600006103516 19.9799995422363 20.1900005340576 19.8500003814697 19.7099990844727 19.0699996948242 17.8999996185303 16.2700004577637 15.710000038147 14.6700000762939 14.3100004196167 13.5799999237061 18.5
United States USA Labor force, total SL.TLF.TOTL.IN 127947290 128708473 130863546 132263501 134757739 136700078 138600058 141054778 142807783 144781937 146738408 147700623 148537335 149149961 150211571 152069624 153926385 155217717 157018960 157119031 156905914 156975333 158646244 158753171 159542326 160604120 162552800 164257517 165475054 167282980 165491966
United States USA Labor force with basic education (% of total working-age population with basic education) SL.TLF.BASC.ZS 35.4300003051758 36.0999984741211 36.5 37.6800003051758 37.7799987792969 37.9700012207031 40.0900001525879 40.1699981689453 40.560001373291 40.8800010681152 41.2700004577637 41.310001373291 42.1100006103516 42.5099983215332 41.9900016784668 41.9599990844727 41.8699989318848 40.9199981689453 40.8699989318848 40.7900009155273 40.8499984741211 41.0400009155273 41.2599983215332 41.4199981689453 41.9900016784668 42.189998626709 41.0200004577637
United States USA Children in employment, work only (% of children in employment, ages 7-14) SL.TLF.0714.WK.ZS
United States USA Employment in services, female (% of female employment) (modeled ILO estimate) SL.SRV.EMPL.FE.ZS 84.4400024414063 84.5699996948242 84.7200012207031 84.7900009155273 84.9899978637695 85.2200012207031 85.4599990844727 85.7600021362305 86.0800018310547 86.4400024414063 87.2799987792969 88.1900024414063 88.4300003051758 88.7699966430664 89 89.2099990844727 89.2799987792969 89.7200012207031 90.6600036621094 90.8000030517578 90.5100021362305 90.4899978637695 90.5100021362305 90.4400024414063 90.4100036621094 90.5299987792969 90.5400009155273 90.4700012207031 90.370002746582
United States USA Contributing family workers, female (% of female employment) (modeled ILO estimate) SL.FAM.WORK.FE.ZS 0.5 0.490000009536743 0.430000007152557 0.209999993443489 0.189999997615814 0.200000002980232 0.189999997615814 0.150000005960464 0.150000005960464 0.140000000596046 0.140000000596046 0.119999997317791 0.129999995231628 0.119999997317791 0.119999997317791 0.109999999403954 0.129999995231628 0.109999999403954 0.0799999982118607 0.100000001490116 0.100000001490116 0.0900000035762787 0.0799999982118607 0.0799999982118607 0.0900000035762787 0.0799999982118607 0.0700000002980232 0.0799999982118607 0.0700000002980232
United States USA Female share of employment in senior and middle management (%) SL.EMP.SMGT.FE.ZS 35.310001373291 35.8800010681152 36.4000015258789 37.3800010681152 37.2700004577637 37.560001373291 36.9500007629395 37.9500007629395 37.9500007629395 38.0699996948242 38.7999992370605 38.5900001525879 39.0699996948242 38.75 38.7999992370605 39.3699989318848 39.7299995422363 40.5299987792969 40.4700012207031 40.8499984741211 41.8600006103516
United States USA Child employment in agriculture (% of economically active children ages 7-14) SL.AGR.0714.ZS
United States USA Multidimensional poverty headcount ratio, female (% of female population) SI.POV.MDIM.FE
United States USA Income share held by second 20% SI.DST.02ND.20 12 12.1 11.3 11.1 10.6 10.5 10.7 10.7 10.5 10.6 10.4 10.3
United States USA Current health expenditure per capita (current US$) SH.XPD.CHEX.PC.CD 4564.45507813 4914.94042969 5332.49316406 5741.29931641 6103.58447266 6454.68310547 6821.10742188 7172.16601563 7410.70068359 7681.24755859 7930.15136719 8130.75634766 8399.23925781 8599.52734375 9023.61132813 9491.09082031 9877.87109375 10209.63085938 10623.84960938
United States USA Incidence of tuberculosis (per 100,000 people) SH.TBS.INCD 6.7 6.4 6 5.9 5.7 5.5 5.3 5.1 4.9 4.3 4.2 3.9 3.6 3.3 3.2 3.2 3.1 3.1 3 3
United States USA Prevalence of stunting, height for age, female (% of children under 5) SH.STA.STNT.FE.ZS
United States USA Maternal mortality ratio (modeled estimate, per 100,000 live births) SH.STA.MMRT 12 13 13 13 13 13 14 14 14 15 15 15 16 16 16 18 19 19
United States USA Pregnant women receiving prenatal care (%) SH.STA.ANVC.ZS
United States USA Incidence of malaria (per 1,000 population at risk) SH.MLR.INCD.P3
United States USA Adults (ages 15-49) newly infected with HIV SH.HIV.INCD 38000 36000 35000 34000 34000 34000 34000 35000 35000 36000 36000 36000 37000 37000 37000 38000 38000 39000 40000 39000 37000 36000 36000 35000 35000 35000 34000 33000 33000
United States USA Mortality rate, under-5, male (per 1,000 live births) SH.DYN.MORT.MA 33.7 33 32.4 31.8 31 30.3 29.5 28.8 27.9 27 26 25 24.1 23 22 20.9 19.9 19 18.1 17.3 16.6 15.9 15.4 14.8 14.4 14.1 13.8 13.5 13.1 12.8 12.4 12.1 11.6 11.2 10.8 10.4 10.1 9.8 9.6 9.4 9.3 9.1 9.1 9 8.9 8.8 8.6 8.5 8.3 8.2 8 7.9 7.7 7.6 7.5 7.4 7.3 7.3 7.2 7
United States USA Number of deaths ages 15-19 years SH.DTH.1519 15791 15589 15469 15377 15213 14963 14568 14134 13783 13598 13570 13645 13771 13908 14026 14037 13746 13243 12608 11920 11257 10722 10321 10090 10082 10266 10611 10962 11218 11277
United States USA Women who believe a husband is justified in beating his wife when she argues with him (%) SG.VAW.ARGU.ZS
United States USA Current education expenditure, total (% of total expenditure in public institutions) SE.XPD.CTOT.ZS 91.3993682861328 91.2884216308594
United States USA Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.DO.MA.ZS 2.20736002922058 2.31552004814148 2.06640005111694 2.2558000087738 2.45290994644165
United States USA Trained teachers in lower secondary education (% of total teachers) SE.SEC.TCAQ.LO.ZS
United States USA Pupil-teacher ratio, upper secondary SE.SEC.ENRL.UP.TC.ZS 14.77404 14.68497 14.70795
United States USA Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.LO.FE.ZS 93.013671875 93.8935470581055 93.8805084228516 94.4658126831055 94.709716796875 94.7121734619141 94.9339828491211 95.0440216064453 95.1430130004883 95.3915863037109 95.4298477172852 95.4783782958984 95.7040634155273 96.0759582519531
United States USA Trained teachers in primary education (% of total teachers) SE.PRM.TCAQ.ZS
United States USA Net intake rate in grade 1 (% of official school-age population) SE.PRM.NINT.ZS 75.41844 75.67508 71.16051 73.07467 72.66274
United States USA Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) SE.PRM.CUAT.ZS 94.5 96.4301605224609 98.4705505371094 98.4229583740234 98.5437698364258 98.6767272949219 98.5941772460938 98.6884307861328 98.7173004150391 98.7904815673828 98.8670196533203 98.7934112548828 98.7738800048828 98.8771133422852 99.0315322875977
United States USA School enrollment, secondary (gross), gender parity index (GPI) SE.ENR.SECO.FM.ZS 0.561649978160858 1.02271997928619 1.05454003810883 1.05028998851776 1.04488003253937 1.03550004959106 1.02479004859924 1.03252995014191 1.02763998508453 1.00117003917694 1.01726996898651 0.998359978199005 0.992569983005524 1.0145800113678 1.00024998188019 1.03746998310089 1.01570999622345 1.017009973526 0.992649972438812 1.00262999534607 1.02046000957489 1.01854002475739 0.995549976825714 1.00890004634857 0.997720003128052 1.01561999320984 1.01160001754761 1.0045200586319 1.00512003898621 1.00249004364014 1.01194000244141 1.01049995422363 0.994159996509552 0.994930028915405 0.990580022335052
United States USA Coverage of social insurance programs in poorest quintile (% of population) per_si_allsi.cov_q1_tot
United States USA Coverage of unemployment benefits and ALMP in poorest quintile (% of population) per_lm_alllm.cov_q1_tot
United States USA Taxes less subsidies on products (constant LCU) NY.TAX.NIND.KN 455343455000 479909657000 504744162000 527292476000 527342371000 530379324000 542544178000 562173172000 584832657000 597601666000 609377143000 601157134000 568260921000 586764537000 599421574000 615228644000 628095289000 647098903000 662857554000 675037973000 692077346000 712105623000
United States USA GNI per capita, Atlas method (current US$) NY.GNP.PCAP.CD 3280 3410 3610 3880 4190 4370 4740 5070 5230 5620 6280 7290 7980 8510 8960 9590 10760 12200 13380 14360 14220 14570 16210 17460 19110 21390 23490 23770 24060 24270 25680 26390 27650 29040 30270 31270 32030 33670 35960 36710 37310 39770 43510 46190 47880 48500 48980 47730 48990 50570 52770 53950 55860 56750 57210 59080 63170 65850
United States USA GDP per capita, PPP (constant 2017 international $) NY.GDP.PCAP.PP.KD 40442.6011319608 39862.5755649712 40698.3401833718 41270.8673037562 42410.3260480352 43033.2435177277 44140.1427859365 45551.4148049007 47041.1847777655 48714.5305541034 50163.8894682396 50165.7199406447 50568.1011093528 51569.8176904018 53035.7829128595 54395.3564837089 55411.4375480389 55916.7153825593 55314.6600600556 53440.9115376752 54359.1339744884 54806.1169274869 55632.9297643152 56269.9564268269 57273.1290736439 58509.5835390739 59043.2114592766 60062.2223132215 61498.3698302264 62530.389594961
United States USA Mineral rents (% of GDP) NY.GDP.MINR.RT.ZS 0.173694449187673 0.0981632675658079 0.0903268434221332 0.174313900876368 0.28432021477462 0.191613305280873 0.116869415416954 0.152841928380158 0.0649347843296739 0.109960743690928 0.121596478962725 0.0911143588292476 0.0469300988409333 0.0502369644461384 0.0303195540367907 0.032571745227759 0.0221623800535307 0.0338218099622392 0.106854798313622 0.0529652534542017 0.0478141229494666 0.0317776696479867 0.0297356023314337 0.0178455860394205 0.0300852109193961 0.0396790898000236 0.0251742547267885 0.0245334375197171 0.0100333665086455 0.0112776455943524 0.0138596079149976 0.0100451183916171 0.00932239475975898 0.0108913799634262 0.0221026978362009 0.0290681424869532 0.0735261354871112 0.0971116329515611 0.144271569013802 0.0966844923289538 0.125891251223953 0.164880570304887 0.148612124584861 0.119870041039965 0.0912612584531074 0.0764430119694986 0.0766189063360221 0.0799376167796966 0.071173888762964
United States USA Adjusted net savings, including particulate emission damage (% of GNI) NY.ADJ.SVNG.GN.ZS 6.59303806344258 6.72709189791202 6.90525451751894 6.05008013495415 7.38780962558483 7.54809176231413 8.40132384821064 9.83510936830208 10.0169295495213 9.43042368721993 8.97451591079402 7.83209622390904 6.69107428131861 5.92648536446384 5.90723260279011 5.82532174942005 7.00554156317616 5.08749852633207 2.05158743145076 0.960194813470418 3.07942374009633 4.22423530403711 6.08625799932954 6.29880878947136 7.34141979542317 7.51944371224554 5.99891545806761 5.92121139838057 5.63814795765558
United States USA Adjusted savings: mineral depletion (% of GNI) NY.ADJ.DMIN.GN.ZS 0.106237388711847 0.0600317011799537 0.0555227152633073 0.107312864301236 0.168634426868334 0.1094211629921 0.0690009155976486 0.0877991908941692 0.0388449053311623 0.0687317629795652 0.0766250153477924 0.0551814722690132 0.0280315934280979 0.0314589465895812 0.0186288158270775 0.0197705357952683 0.0141243409433906 0.0226596410291194 0.0743358072396319 0.0333700908608005 0.0304110843853282 0.0196963009866608 0.0184198295104061 0.011088357075861 0.0201665981903305 0.0263136453288571 0.0169486669874277 0.0164233336083136 0.0065693831518103 0.0070822586996025 0.00826209985125714 0.00611731038893218 0.00558789229913852 0.00637047945324575 0.013744696055394 0.0180441300813783 0.0477513595319195 0.0561792183631867 0.0802977129017136 0.0582448142196792 0.0722812038063463 0.0925372562188304 0.0904423431071723 0.0733472065081943 0.0594519453800844 0.0510643263736523 0.0516589504046868 0.0537527952979075 0.0456174951945355
United States USA Services, value added per worker (constant 2010 US$) NV.SRV.EMPL.KD 84419.7731557527 86361.4405701498 88368.8746577853 89872.893542347 90969.0847462637 92322.9741481576 94070.9651549304 95718.1318574206 97663.64469459 98603.1600446638 99056.4929600981 98929.9429061127 99547.2542201393 102065.200456546 103100.561159665 103225.296225068 103710.991158446 104489.120662197 105844.094012989 105888.501410797 106489.061175998 108240.4265984
United States USA Manufacturing, value added (constant 2010 US$) NV.IND.MANF.KD 1313923487085.28 1369904235010.37 1448313570325.6 1552664512148.3 1486235973367.6 1503461380997.07 1585885032308.63 1697632578779.36 1747499166130.63 1846913203779.75 1908180889200.45 1870662991175.78 1695624706954.58 1788954408000 1794696033014.22 1785886255607.6 1838259334478.86 1872733189905.83 1887095287109.96 1877859933664.15 1927550254378.53 2003093957439.35
United States USA External balance on goods and services (current LCU) NE.RSB.GNFS.CN 3949000000 621000000 -3373000000 4111000000 -815000000 15976000000 -1631000000 -23094000000 -25367000000 -22544000000 -13056000000 -12519000000 -19974000000 -51642000000 -102726000000 -114018000000 -131869000000 -144770000000 -109392000000 -86742000000 -77854000000 -28613000000 -34738000000 -65174000000 -92487000000 -89762000000 -96377000000 -101971000000 -162711000000 -255834000000 -375050000000 -367929000000 -425402000000 -503127000000 -619075000000 -721193000000 -770925000000 -718427000000 -723088000000 -396451000000 -513903000000 -579461000000 -568571000000 -490782000000 -507658000000 -526571000000 -512512000000 -555533000000 -609460000000 -610470000000
United States USA Changes in inventories (current US$) NE.GDI.STKB.CD 2001000000 8256000000 9107000000 15878000000 13990000000 -6256000000 17116000000 22324000000 25791000000 17984000000 -6331000000 29809000000 -14914000000 -5751000000 65405000000 21824000000 6571000000 27149000000 18482000000 27693000000 14546000000 -394000000 16328000000 20814000000 63785000000 31174000000 30799000000 70927000000 63719000000 60816000000 54544000000 -38284000000 19975000000 14094000000 64068000000 57513000000 68989000000 33950000000 -29241000000 -150772000000 53917000000 46262000000 71212000000 104531000000 83966000000 136785000000 28352000000 16324000000 57736000000 49100000000
United States USA Gross national expenditure (constant LCU) NE.DAB.TOTL.KN 5295642871000 5473081003000 5761894166000 6022566188000 5962537529000 5952327124000 6303335978000 6610483455000 6940393623000 7104737638000 7008641679000 7172477992000 7140267260000 7545441481000 8122257332000 8495271512000 8816029149000 9095914879000 9401800423000 9690258913000 9843840732000 9793148594000 10133029105000 10459330758000 10901956728000 11176375908000 11596667017000 12125649551000 12789504499000 13487188140000 14133622900000 14314271983000 14647999318000 15111908661000 15751563124000 16315668592000 16771459407000 16993557980000 16814273578000 16243429192000 16719716677000 16971689906000 17340942207000 17613541370000 18088881445000 18764872000000 19115417870000 19589868447000 20209888893000 20669032775000
United States USA Households and NPISHs Final consumption expenditure (constant LCU) NE.CON.PRVT.KN 3180821546000 3302294241000 3504552951000 3677987334000 3647177362000 3729874831000 3937756619000 4104183022000 4283800008000 4385625421000 4371934047000 4432554470000 4497438830000 4752042549000 5002036107000 5261017110000 5478198563000 5664220726000 5900808340000 6072852668000 6195164137000 6206347435000 6434746191000 6658915016000 6916907832000 7120991441000 7368086388000 7645532766000 8051593775000 8475699742000 8906402547000 9130743455000 9365292870000 9662889381000 10025432078000 10382532023000 10700588829000 10938409872000 10915217897000 10778307241000 10966886942000 11173850613000 11341793814000 11506710631000 11847325695000 12297480000000 12637853942000 12970232748000 13321593177000 13643193645000
United States USA Intentional homicides, male (per 100,000 male) VC.IHR.PSRC.MA.P5 14.797034186 15.443360451 14.705295299 14.886867498 14.220582771 12.720269796 11.482117349 10.517863612 9.4762625175 8.5566186204 8.558947884 10.391033474 8.8038783001 8.9788157257 8.7335064049 9.0545799289 9.2915030569 9.0639540739 8.5964727204 7.8475622439 7.4771849536 7.4056144563 7.4457215437 7.1285245802 6.9679072777 7.9069557545 8.570886927 8.4506291405 7.757730819
United States USA Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) TX.VAL.MRCH.R6.ZS 2.15242269296323 2.01345484040269 2.29459659511473 2.23845327604726 2.89608820419876 3.09043353741397 2.88445093473313 2.69316316766683 2.60671322682745 2.59996838944207 2.65625144612992 2.93820481802159 2.33676286072773 2.2231959982472 2.43413385910625 2.81090115604253 2.754528474002 2.58438540396216 2.32515610441264 1.86922253041496 2.44272632212681 2.79350651571639 2.53783403392001 2.15461157667516 2.01543133423242 1.75718265469792 1.28830038725819 1.22150023926946 1.12036952890705 1.01442348423583 1.0292226723328 1.13191077544902 1.19752244446184 1.00895950715193 0.858149146731693 0.919915406134599 0.963990094144175 0.891028353479877 0.975648105424953 0.809895294248784 0.75679889969138 0.921950792447875 0.85541395301873 0.942218206335522 1.03896167515364 1.12961513112789 1.15949044831676 1.22822076391816 1.41446174199305 1.40288198616722 1.32235868773924 1.41446908841941 1.44075485489714 1.50595357234721 1.56135669073361 1.16992994596463 0.91883613028823 0.897249433815775 0.937106554763736 0.942658986667642
United States USA Agricultural raw materials exports (% of merchandise exports) TX.VAL.AGRI.ZS.UN 6.24338648004558 6.34164667596017 6.38167888363376 5.47179565277521 5.16765673713277 5.18758343841651 5.18488346436039 4.46459633228401 4.89845743940824 4.91763458863476 5.15544106993866 5.6258278767408 5.12179671196257 4.14830694085967 4.63655238885298 5.05733640086522 4.86044192166045 5.53927776165847 5.12720069069338 4.29274907903773 4.25196860479809 4.39570463509914 4.72280591677106 4.23721104228793 4.28179944825734 4.77179172248982 4.59318112870477 4.5062028691708 3.94289603123057 3.70992286020073 3.36221864918702 3.54277968753403 3.9284494938386 3.13373895164422 2.72660294871002 2.40596187825183 2.12957187178087 2.31176589061403 2.33320484203807 2.42109840854496 2.64288950971667 2.66434741034169 2.5593202703219 2.46044755035212 2.41622623988986 2.28791263854226 2.31153277020622 2.62252713978651 2.7568901505823 2.4282677231867 2.39135509940467 2.29356760853687 2.26473637557062 2.29326912604873 2.28760068788218 2.23298347744278 2.01490964705151
United States USA Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) TM.VAL.MRCH.R3.ZS 23.0033331890394 21.4396452035124 20.6187332005547 20.0844630446968 18.6836666085614 16.9533319658358 15.2270260328954 14.4154610881339 12.7677866926099 11.8085774031338 12.1794226152134 11.0329462016162 10.6936649982304 11.3979803092264 13.4758008119375 12.2534970999659 10.6466299612778 10.8027873174563 10.4935829911645 11.6960058273643 12.0759685700949 12.1217174432169 13.0142510267565 13.3180694949226 12.6411914858699 12.1809947494878 10.3889780092324 10.6435518668286 10.8718224209629 11.3899047904762 12.1599801939599 12.0485081000634 12.1449381840292 12.1440464344942 12.5528387117364 13.384080074285 14.7021444134959 15.3781017966804 15.2719984164168 15.6480142682741 16.2736442560065 16.5399730547294 16.6802089137649 16.2206755483372 16.2079949130432 16.1933055890654 16.4778136723635 16.3505271662891 16.6728932266539 17.2074683362747 17.8199347600756 18.7319968689508 18.8189266916491 18.512019952036 18.192029754907 17.6241118074552 17.7363954111128 17.6761995864121 17.7732112068525 18.0647667385126
United States USA Tariff rate, applied, weighted mean, primary products (%) TM.TAX.TCOM.WM.AR.ZS 2.44 2.51 2.41 2.31 1.89 1.91 2.36 1.66 3.15 3.67 2.35 2.04 1.91 1.44 1.36 1.33 1.28 1.32 1.07 1.3 1.21 1.36 1.49 1.42 1.48 1.51 1.54 2.25 1.71 80.1
United States USA Tariff rate, applied, weighted mean, manufactured products (%) TM.TAX.MANF.WM.AR.ZS 4.2 4.22 4.25 4.25 4.09 3.11 2.95 2.83 3.09 2.12 2.06 2.13 2.21 2.08 1.91 1.87 1.84 1.64 1.78 1.84 1.81 1.79 1.75 1.75 1.75 1.74 1.68 1.57 1.58 2.19
United States USA International tourism, receipts (current US$) ST.INT.RCPT.CD 93743000000 102196000000 107047000000 105095000000 109188000000 118316000000 105454000000 97415000000 94814000000 107210000000 116682000000 121030000000 134800000000 149094000000 137111000000 161821000000 178935000000 195113000000 213105000000 222746000000 230574000000 228549000000 231123000000 237726000000 233461000000
United States USA Population, male (% of total population) SP.POP.TOTL.MA.ZS 49.5449440840931 49.526885208803 49.5114642012565 49.4955056214359 49.4749833387364 49.4474669942869 49.411344745427 49.3682754281145 49.3230505175958 49.2822213179846 49.2501350987961 49.2289218243347 49.2165067624083 49.2080681164883 49.1968367827066 49.178426268793 49.1509300116375 49.1168791627339 49.0815997120582 49.0524241514736 49.0341497485841 49.0289433124328 49.0343188669736 49.044835086298 49.0529311079742 49.0536783016829 49.0451484815011 49.0300579328257 49.0136965964874 49.0034135798915 49.0041256454275 49.0170901695204 49.0399520748245 49.0695148226927 49.1011431597912 49.1314153694943 49.159458910408 49.1858951030775 49.2106891756048 49.2342156947315 49.256731317126 49.2782911732148 49.2985537364417 49.3170133956262 49.3330079021178 49.3461979870208 49.3561035441091 49.3632152857991 49.3692898976415 49.3766518629731 49.3868109471367 49.4003966204291 49.4165950723734 49.4337037143922 49.4493265271429 49.4617788315964 49.4706871974314 49.4766177256456 49.4799853460876 49.4815127922008
United States USA Population ages 70-74, male (% of male population) SP.POP.7074.MA.5Y 2.3242168503022 2.33796759762015 2.35659882665084 2.36888082108167 2.36774402901852 2.35669960013971 2.33796992183494 2.31083331507134 2.28245628246852 2.26748225455914 2.27771116480271 2.31135824729585 2.35335755472917 2.39250614218708 2.42165557435902 2.44498479316699 2.51781985051723 2.57078296620376 2.59096348593195 2.592960932193 2.6067175153696 2.6361810996981 2.68747201554828 2.74090485332493 2.78012859336809 2.80562051595619 2.82710053113572 2.83818112631661 2.84216701133151 2.8483763947214 2.86494094388337 2.88248105823271 2.9074086201002 2.92952108790028 2.94129942749505 2.9430989328501 2.92162114878401 2.89801884746971 2.86958452798216 2.83456377989263 2.79537951093497 2.75220123956546 2.70638890521139 2.66659144018016 2.64626995258715 2.65311253227279 2.65888182738437 2.69031500131437 2.7399167746643 2.79675838619369 2.8563790098624 2.9024531931091 2.94943427175737 3.00893803696928 3.09824428333157 3.22518719285467 3.36721750067434 3.54025653778963 3.72712140439293 3.90398359419813
United States USA Population ages 45-49, male (% of male population) SP.POP.4549.MA.5Y 6.01432687682651 5.9693491105076 5.92550084778665 5.89158000707214 5.87620153827328 5.88121522333536 5.90596616399395 5.95154860174928 6.00118843841854 6.03216348300415 6.03198587694448 5.9756211154026 5.8922755077772 5.79103834110956 5.68477934966784 5.58229841271421 5.42519380595786 5.25977234177873 5.09032387174744 4.93445087536213 4.81455581640184 4.78719513556176 4.80546719808837 4.85414472483912 4.91344425722343 4.97464572895882 5.03125301808385 5.08565660520325 5.15093789922872 5.25461864007234 5.41591342853896 5.61890038401176 5.86220747598366 6.11480349566043 6.34327934836218 6.53586354895976 6.72759145757418 6.8890725049851 7.01985691965655 7.13126292301392 7.23392917642309 7.34045440513689 7.43618694459928 7.51753280184757 7.57835949685243 7.61352758370154 7.61845888986891 7.60466959818528 7.56474849237024 7.49230682361703 7.38805371123205 7.24959955336849 7.09343355985489 6.928010724225 6.76666840481088 6.61861358402488 6.48202169396982 6.35858495308623 6.25069390302579 6.15986794614794
United States USA Population ages 15-64, female (% of female population) SP.POP.1564.FE.ZS 60.2153638349607 59.9962722276318 59.9354373558359 59.9886766453133 60.0987855747037 60.2400342262568 60.4201736208509 60.6275081990711 60.8587020802575 61.1231926313526 61.427875588098 61.8239297047606 62.2137443591809 62.5988947482204 62.9902678515769 63.3934743211545 63.7628838725273 64.1591173917241 64.5428734129603 64.8676641990723 65.1114777225736 65.250239799572 65.329854226479 65.3482231702183 65.3204446441728 65.2606557281118 65.1154099161326 64.967662173109 64.8173710775029 64.6678278295879 64.5265537264886 64.3667082479339 64.2399856685733 64.154461171957 64.1249631258837 64.1571294465698 64.1973708679704 64.3216492038454 64.4980811807025 64.6877924533831 64.8730494888797 65.1149876747077 65.3196888868024 65.5065075962889 65.7017739483212 65.907872119329 65.9292400655749 65.9812275964645 66.0281897238116 66.0258599811064 65.9586005699634 65.8658095614106 65.7524877074301 65.6100803118735 65.4406396868921 65.2460999099375 65.051278947516 64.8244160670525 64.576790382131 64.321850895079
United States USA Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) SP.MTR.1519.ZS
United States USA Death rate, crude (per 1,000 people) SP.DYN.CDRT.IN 9.5 9.3 9.5 9.6 9.4 9.4 9.5 9.4 9.8 9.5 9.5 9.3 9.4 9.3 9.1 8.8 8.8 8.6 8.7 8.5 8.8 8.6 8.5 8.6 8.7 8.7 8.7 8.6 8.9 8.8 8.6 8.6 8.5 8.8 8.8 8.8 8.8 8.7 8.6 8.6 8.5 8.5 8.5 8.4 8.2 8.3 8.1 8 8.1 7.9 7.995 8.073 8.102 8.215 8.237 8.44 8.493 8.638 8.6
United States USA Children in employment, wage workers, male (% of male children in employment, ages 7-14) SL.WAG.0714.MA.ZS
United States USA Unemployment with basic education, female (% of female labor force with basic education) SL.UEM.BASC.FE.ZS 14.3500003814697 13.75 13.8000001907349 12.3500003814697 11.3100004196167 11.3000001907349 10.5799999237061 11.7200002670288 12.0900001525879 12.2799997329712 12.710000038147 11.6499996185303 10.0200004577637 9.26000022888184 11.6199998855591 15.1499996185303 15.7600002288818 15.6199998855591 14.8299999237061 13.0799999237061 11.5500001907349 8.98999977111816 9.6899995803833 8.02000045776367 7.07999992370605 6.84999990463257 13.9899997711182
United States USA Labor force with intermediate education, male (% of male working-age population with intermediate education) SL.TLF.INTM.MA.ZS 75.0199966430664 74.8199996948242 74.7699966430664 74.629997253418 74.0699996948242 73.6999969482422 73.5800018310547 72.75 72.2099990844727 71.5500030517578 71.0400009155273 71.0100021362305 70.9700012207031 70.4000015258789 70.0299987792969 68.7200012207031 67.7300033569336 66.7600021362305 66.1999969482422 65.629997253418 64.9899978637695 64.6999969482422 64.8899993896484 64.8499984741211 64.629997253418 64.6100006103516 62.6399993896484
United States USA Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.ZS 75.7699966430664 75.4400024414063 75.7900009155273 75.75 76.0400009155273 76.2200012207031 76.4000015258789 76.6999969482422 76.6500015258789 76.5599975585938 76.4300003051758 75.9300003051758 75.4199981689453 74.7799987792969 74.3499984741211 74.2600021362305 74.370002746582 74.1100006103516 74.0400009155273 73.3000030517578 72.5500030517578 71.9599990844727 72.120002746582 71.6699981689453 71.5800018310547 71.5500030517578 71.9300003051758 72.370002746582 72.6399993896484 73.1100006103516
United States USA Children in employment, study and work (% of children in employment, ages 7-14) SL.TLF.0714.SW.ZS
United States USA Children in employment, self-employed, female (% of female children in employment, ages 7-14) SL.SLF.0714.FE.ZS
United States USA Wage and salaried workers, female (% of female employment) (modeled ILO estimate) SL.EMP.WORK.FE.ZS 93.2099990844727 93.6600036621094 93.6600036621094 92.9300003051758 93.0500030517578 93.129997253418 93.2399978637695 93.5899963378906 93.8199996948242 93.7300033569336 93.8000030517578 93.9700012207031 93.8899993896484 93.9300003051758 94.0800018310547 94.0500030517578 94.1699981689453 94.4400024414063 94.3600006103516 94.4199981689453 94.5 94.4100036621094 94.4300003051758 94.6399993896484 94.7399978637695 94.8399963378906 94.7200012207031 94.8300018310547 94.9199981689453
United States USA Employers, female (% of female employment) (modeled ILO estimate) SL.EMP.MPYR.FE.ZS 2.16000008583069 2 2.01999998092651 2.36999988555908 2.33999991416931 2.29999995231628 2.26999998092651 2.16000008583069 2.08999991416931 2.13000011444092 2.08999991416931 2.02999997138977 2.04999995231628 2.02999997138977 1.98000001907349 1.98000001907349 1.91999995708466 1.83000004291534 1.8400000333786 1.80999994277954 1.76999998092651 1.79999995231628 1.78999996185303 1.71000003814697 1.66999995708466 1.62999999523163 1.66999995708466 1.62999999523163 1.61000001430511
United States USA Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day) SI.SPR.PC40 25.02 26.98
United States USA Gini index (World Bank estimate) SI.POV.GINI 35.3 34.5 37.4 38 40 40.5 40.1 40.3 40.8 40 40.7 41.1
United States USA Out-of-pocket expenditure (% of current health expenditure) SH.XPD.OOPC.CH.ZS 15.46722794 14.74088287 14.31371307 14.16148853 13.92585945 13.85522079 13.47142792 13.4684 13.14216423 12.50273705 12.25146866 12.25356388 12.10266495 12.01310253 11.53733253 11.22007656 11.19551945 11.00358582 10.80886078
United States USA Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%) SH.UHC.OOPC.10.ZS 7.4632316827774 6.9130465388298 6.86306357383728 7.91778340935707 5.94233497977257 5.81952705979347 6.32344186306 5.78954294323921 5.57503364980221 5.66743388772011 5.41747063398361 4.93137612938881 4.55902852118015 4.69573624432087 4.76314276456833 4.72380556166172 4.99493107199669 4.77259978652
United States USA Prevalence of wasting, weight for height (% of children under 5) SH.STA.WAST.ZS 0.7 0.4 0.8 0.5 0.5 0.3 0.4
United States USA Mortality rate attributed to unintentional poisoning (per 100,000 population) SH.STA.POIS.P5 0.7 0.8 0.9 0.9 0.9
United States USA People with basic handwashing facilities including soap and water, rural (% of rural population) SH.STA.HYGN.RU.ZS
United States USA Risk of catastrophic expenditure for surgical care (% of people at risk) SH.SGR.CRSK.ZS 1 1 0.9 0.9 1 1 0.8 0.7 0.7 0.7 0.8 0.7 0.7 0.7 0.6 0.6 0.6 0.6
United States USA Immunization, measles (% of children ages 12-23 months) SH.IMM.MEAS 86 97 97 98 98 97 97 82 98 94 90 87 83 84 89 88 91 91 92 92 91 91 91 93 93 92 92 92 92 90 92 92 91 92 92 92 92 92 92 90
United States USA People using safely managed drinking water services, urban (% of urban population) SH.H2O.SMDW.UR.ZS 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697 99.6660948659697
United States USA Probability of dying among adolescents ages 15-19 years (per 1,000) SH.DYN.1519 4.4 4.4 4.3 4.3 4.2 4.1 3.9 3.8 3.6 3.5 3.4 3.4 3.3 3.3 3.3 3.2 3.2 3 2.9 2.7 2.5 2.4 2.3 2.3 2.3 2.4 2.5 2.6 2.6 2.6
United States USA Prevalence of anemia among children (% of children under 5) SH.ANM.CHLD.ZS 14.5 12.5 10.8 9.4 8.4 7.6 7.1 6.8 6.5 6.3 6.2 6.2 6.1 6.1 6.1 6.1 6.1 6.1 6.1 6.2 6.3 6.4 6.6 6.8 7.2 7.8 8.5
United States USA Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49) SG.DMK.SRCR.FN.ZS
United States USA School enrollment, tertiary, female (% gross) SE.TER.ENRR.FE 38.7037582397461 40.3858795166016 42.5181503295898 43.7980804443359 46.6497611999512 50.0240898132324 50.7424011230469 52.8026695251465 53.3831901550293 55.5840301513672 58.6955986022949 60.5787315368652 61.081428527832 62.3269081115723 62.7738189697266 64.6020126342773 68.1713485717773 71.9721374511719 75.6667327880859 80.0386505126953 82.3193130493164 89.4847412109375 89.0848007202148 89.6084365844727 89.4794998168945 81.7555313110352 82.8330993652344 77.4093933105469 77.9798812866211 90.0512924194336 93.3352584838867 95.2505111694336 95.1901626586914 98.2729721069336 98.8438186645508 99.8554916381836 102.705558776855 108.252853393555 109.498062133789 108.937568664551 103.112609863281 102.599388122559 102.747329711914 102.293800354004 102.011329650879 102.354042053223
United States USA Adolescents out of school, male (% of male lower secondary school age) SE.SEC.UNER.LO.MA.ZS 2.97642993927002
United States USA Progression to secondary school, female (%) SE.SEC.PROG.FE.ZS 98.43563
United States USA Secondary education, pupils SE.SEC.ENRL 24229776 24417186 24707908 24787964 24871356
United States USA Children out of school, male (% of male primary school age) SE.PRM.UNER.MA.ZS 0.847800016403198 2.41250991821289 4.12890005111694 2.48593997955322 2.26651000976563 1.69895005226135 0.291880011558533 0.515320003032684
United States USA Persistence to last grade of primary, total (% of cohort) SE.PRM.PRSL.ZS
United States USA Gross intake ratio in first grade of primary education, total (% of relevant age group) SE.PRM.GINT.ZS 108.1743 102.98046 101.76131 101.27373 101.04554 102.13492 102.81369
United States USA Primary school starting age (years) SE.PRM.AGES 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
United States USA Literacy rate, adult female (% of females ages 15 and above) SE.ADT.LITR.FE.ZS
United States USA Coverage of social safety net programs in 3rd quintile (% of population) per_sa_allsa.cov_q3_tot
United States USA Adequacy of social protection and labor programs (% of total welfare of beneficiary households) per_allsp.adq_pop_tot
United States USA Gross savings (% of GDP) NY.GNS.ICTR.ZS 21.5595223343268 21.4782160793235 22.1088100319754 23.7858642210897 22.6834226073181 20.9152568929743 21.4645790674982 22.2081960740235 23.4284841930958 23.5199255214602 22.1970547792029 23.3546676345367 21.7840300329955 19.7925833466794 21.9063590294563 20.3611033839989 18.9565491193504 19.6168655764987 20.6314483242234 19.7465071841576 18.756045468632 18.8100151848069 17.6815219543437 17.0434226781457 17.8520305915713 18.7477978661341 19.6380792957173 20.8321463764273 21.3776869050782 20.9499153711641 20.842606284614 19.6916005423879 18.4123339646857 17.4972100554552 17.8242531318514 18.279264886947 19.3287521449498 17.6313307557995 15.3585804831397 14.0176440467652 15.5543876643411 16.5746794741641 18.8783269286396 19.3098904979879 20.4559052587772 20.289695298894 18.7210172999618 18.6376509048607 18.6191120074227 18.7122969729335
United States USA GNI: linked series (current LCU) NY.GNP.MKTP.CN.AD 5902290000000 6096750000000 6435469000000 6733768000000 7170251000000 7574691000000 8045907000000 8589268000000 9135464000000 9689354000000 10383859000000 10743709000000 11054325000000 11530268000000 12313988000000 13169702000000 14072966000000 14543216000000 14684602000000 14398708000000 15126736000000 15832207000000 16670651000000 17175898000000 18057489000000 18704317000000 19045164000000 19830277000000.1 20837347000000.1 21690012900000
United States USA GDP per capita (current US$) NY.GDP.PCAP.CD 3007.12344537862 3066.56286916615 3243.84307754988 3374.51517105082 3573.94118474743 3827.52710972039 4146.31664631665 4336.42658722171 4695.92339043178 5032.14474262003 5234.2966662115 5609.38259952519 6094.01798986165 6726.35895596695 7225.69135952566 7801.45666356443 8592.25353727612 9452.57651914511 10564.9482220275 11674.1863100131 12574.7915062163 13976.1097504641 14433.787727053 15543.8937174925 17121.2254849995 18236.8277265009 19071.2271949295 20038.9410992658 21417.0119305191 22857.1544330056 23888.6000088133 24342.2589048189 25418.9907763319 26387.2937338171 27694.853416234 28690.8757013347 29967.7127181749 31459.1389804773 32853.6769523009 34513.5615037271 36334.9087770589 37133.2428088526 38023.1611144021 39496.4858751381 41712.8010675545 44114.7477810544 46298.7314440927 47975.9676958038 48382.5584490552 47099.9804711343 48467.5157769259 49886.8181094923 51610.6052783379 53117.6678498178 55064.7445483427 56839.3817742317 57951.5840820997 60062.2223132211 62996.4712852605 65297.517508274
United States USA Discrepancy in expenditure estimate of GDP (constant LCU) NY.GDP.DISC.KN 4563253000 4713538000 4961417000 5241525000 5213192000 5202481000 5482798000 5736331000 6053855000 6245529000 6229493000 6387580000 6272420000 6559943000 7034662000 7327982000 7581725000 7844020000 8171669000 8471786000 8631561000 8622216000 8925928000 9171645000 9541156000 9797269000 10166871000 10619013000 11094894000 11622261000 12101968000 12222787000 12435670000 12791481000 13277415000 13743879000 14136264000 14401484000 14381815000 14016983000 14376346000 14599299000 14927717000 15202697000 15586338000 -13596560000 -27240692000 -21000135000 -34738904000 -35489672956.1016
United States USA Adjusted net national income (constant 2010 US$) NY.ADJ.NNTY.KD 4283664465450.79 4398926913883.66 4641086218935.89 4892774432892.26 4688550141884.03 4673743185683.47 4907756250822.84 5103679251743.43 5364302847791.63 5340979016838.19 5217872793897.33 5428994785476.48 5490473114799.62 5667691841316.5 6121907888857 6380946613424.54 6602610217590.76 6841309578536.47 7237441106361.59 7404666918429.09 7502317431731.92 7528219551263.34 7791973318957.74 7972411767670.04 8330765688322.9 8609931069242.82 8984990141547.23 9477104158877.48 10035221792077 10448468734501.1 10863342540468.1 11019896557411.4 11191635986268.4 11431117707409.5 11850383577606.9 12211084722728.7 12650872563739.5 12681528903651.7 12308977226961.1 12154368409017 12683140922544.5 12968436587597.6 13467284398354.9 13647224238666.2 14127295336366.3 14629951296243.5 14755809170013.5 15072841425947.7 15435668268186.4
United States USA Adjusted savings: carbon dioxide damage (% of GNI) NY.ADJ.DCO2.GN.ZS 0.668322565448498 0.672484956555918 0.687607608424478 0.698123732986386 0.696484370219952 0.692552282690998 0.709917184168578 0.716718188360947 0.722242305286329 0.725783284562031 0.721153234068503 0.694281453671359 0.684688784564915 0.689211257334413 0.679472825712191 0.678078457064407 0.6803570189337 0.700467929789235 0.716102365700614 0.72883820285921 0.719073406950042 0.740877355957981 0.753016832303031 0.777225237819499 0.777892743732007 0.780214482838623 0.788298649427316 0.79087592103801 0.779177752272513 0.782332347599074 0.795112092594746 0.794989514504022 0.81499423036222 0.824737141170864 0.828395717205044 0.827467789916948 0.808604656072 0.840908789950089 0.848058936367718 0.841577829326851 0.855658313302257 0.839653581364853 0.80722881368102 0.835427008737196 0.842844125624801 0.83110293648313 0.829914958609368 0.831014447399951 0.834013250719056
United States USA Chemicals (% of value added in manufacturing) NV.MNF.CHEM.ZS.UN 10.404050950094 10.582964009156 10.3993270763237 10.4177514318901 10.3988058787508 10.4144676658926 10.2978975812298 10.3664851501687 10.3776295208606 9.43080673507568 9.21873452817111 10.0736664595722 10.3909068221521 10.2318914567339 9.85497296833433 9.52904862320834 9.59066055859317 9.67008702428887 9.74226804123711 9.61004819629035 10.050714090785 9.87048745665919 9.80089117257437 9.94404538326008 10.5952227243383 11.2215556392122 11.3612653800129 11.7425932789254 12.0082151828184 11.7896859816511 11.7400553705521 11.58482575837 11.7608869327457 11.7608869326186 12.4204245095438 12.2970088824435 11.7650163691842 11.8375962499766 12.2514777007368 13.2894899670301 13.6305449853998 14.4664685064997 14.9371964457067 15.2432843097178 15.5045631683918 15.6560946637851 16.4578238508889 16.2936892990713 16.4254503825377 15.8550521788363 15.7540954828929 15.9308334557202 15.992083721794 16.6182275876153 16.4386024172953 16.4386024170096
United States USA Agriculture, forestry, and fishing, value added (% of GDP) NV.AGR.TOTL.ZS 1.33691171038169 1.21399691075917 1.15118252152304 1.15045636546451 1.12932550544931 0.970430947058331 1.11525741955411 1.25866007956923 1.14225527722491 1.00067777411318 1.06682214149659 1.06578313550216 0.968572535825703 1.04248133891985 1.21648753662505 1.15882894880324 1.3335136788321 1.18557101774133 1.03766398858538 0.935222255182508 0.941850621188078 0.864583083594423
United States USA Imports of goods and services (current LCU) NE.IMP.GNFS.CN 55760000000 62342000000 74216000000 91159000000 127465000000 122730000000 151146000000 182443000000 212250000000 252674000000 293828000000 317758000000 303184000000 328638000000 405107000000 417229000000 452867000000 508713000000 553993000000 591031000000 629727000000 623544000000 667791000000 719973000000 813424000000 902572000000 963966000000 1055774000000 1115690000000 1248612000000 1471305000000 1392565000000 1424143000000 1539304000000 1796706000000 2026418000000 2243538000000 2379280000000 2560143000000 1978447000000 2360183000000 2682456000000 2759851000000 2764210000000 2879362000000 2792433000000 2739686000000 2930093000000 3138164000000 3125221000000
United States USA Gross fixed capital formation (current US$) NE.GDI.FTOT.CD 279724000000 316688000000 336702000000 347912000000 395754000000 467452000000 558153000000 641769000000 672378000000 748760000000 752891000000 814433000000 947866000000 1027702000000 1080662000000 1119664000000 1176882000000 1242441000000 1269272000000 1238832000000 1292796000000 1377895000000 1486873000000 1594003000000 1721214000000 1851279000000 2016953000000 2194721000000 2372714000000 2385009000000 2354119000000 2477183000000 2703389000000 2990493000000 3182858000000 3231084000000 3136450000000 2723344000000 2756059000000 2922919000000 3171573000000 3321886000000 3562780000000 3722979000000 3798418000000 3999131000000 4279014000000 4454940000000
United States USA Final consumption expenditure (constant LCU) NE.CON.TOTL.KN 4444913697000 4575987354000 4794674649000 4968418594000 4959291204000 5073650265000 5293105584000 5488917552000 5699040813000 5815554061000 5818778107000 5902048224000 5999116927000 6305348604000 6587735362000 6923875520000 7216171129000 7440071270000 7717991499000 7945451632000 8116953527000 8156988966000 8406790013000 8640229981000 8918502695000 9136104627000 9401503897000 9722345598000 10178064898000 10668105456000 11142633587000 11442696264000 11762856771000 12107564065000 12512132769000 12894537319000 13245737153000 13524927774000 13561176846000 13530212977000 13722764721000 13848324732000 13978234466000 14093938343000 14414596050000 14905109000000 15291252368000 15638781606000 16031280036000 16401150189000
United States USA General government final consumption expenditure (% of GDP) NE.CON.GOVT.ZS 17.9618430210295 17.9387904021977 17.6292891150878 16.7762751723054 17.1626727964469 17.6107956298994 16.7879782984202 16.3879690233478 15.7667187305319 15.4036372992547 15.876837875664 15.8102388431458 16.5838514332094 16.3837857501765 15.7203773615748 15.9171086101131 16.1145952588757 16.0012069496407 15.6681698513379 15.6237968795976 15.9007731491978 16.3175698333049 16.0786874646011 15.6452689260237 15.2060534337024 14.9447710913016 14.5283200229106 14.2293238255567 13.9868964790694 14.0372561190458 14.0260099998519 14.528614139578 15.0418614345097 15.2465423026494 15.1688806727392 15.055297725279 15.0083193646608 15.2147972958974 15.9887101811824 16.8220241300482 16.7431574962336 16.1604689928469 15.5336041145609 15.0850685069211 14.63681200588 14.3082046053747 14.2177964767665 14.0512029408233 14.0489142527054 13.9738926841904
United States USA Battle-related deaths (number of people) VC.BTL.DETH 233
United States USA Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) TX.VAL.MRCH.R1.ZS 2.8536644752861 3.75017892075004 3.54367135455218 3.5703544575725 2.60912248904999 2.61919721787922 3.05876780992225 3.26031164650491 3.29527898485734 2.85548706601338 2.88069081048062 2.67768550108059 2.94102885821832 3.53359363953145 3.78000703870374 2.79771577139143 2.51857000130316 2.40300623001615 2.81022709889162 3.42652349435641 4.52494873547505 4.07356260902281 4.50892247729958 4.14785161994686 4.15205644088478 3.98218757914286 3.76256749422792 3.7166654142921 3.80575289321204 4.0233797098579 4.00804088169617 4.34224883061188 4.85435416969467 5.42180139580143 5.51282977390001 6.18826766102765 6.19994475333327 6.32205970240406 5.58162704512124 5.27033423905569 5.83260700358869 6.21374615950732 6.90823722872536 7.90099918208546 7.73057488494218 7.83944187157473 8.48287833055285 8.56365841281855 8.53993477525152 9.59157354930883 10.4477451878293 10.1042871112595 10.1271209681718 10.7760577966714 10.6120033256196 10.8250926948563 11.2517713451193 11.570554553542 10.4478866869562 9.81863148794726
United States USA Travel services (% of commercial service imports) TM.VAL.TRVL.ZS.WT 43.9293598233996 43.7 43.9024390243902 40.6318883174137 38.2108626198083 39.0986601705238 36.5282215122471 36.479217603912 36.4301075268817 35.3073463268366 36.0332294911734 36.789506558401 34.3118771882575 34.1500378883556 44.0514469453376 43.5292060160895 40.6462139987377 40.1786556365449 40.1775736513122 39.8317953510104 38.6527340975956 36.0031878860331 38.1586372259189 38.1447984407163 37.3242083995761 35.8896360667662 35.6560595510699 35.4055903563721 35.177328013192 32.2487687023026 31.0900960695305 29.2793010700671 27.5618094019409 26.776493837524 26.6097635721826 26.0250449488707 24.3414902306687 23.1254409245137 21.5223217704265 21.9394226243815 21.0549086503993 20.291359019527 20.450481041313 20.6859836041382 20.6233192984712 21.5580706801335 22.2587459930342 22.5658299954475 23.3742167414217 23.8523428085348
United States USA Merchandise imports (current US$) TM.VAL.MRCH.CD.WT 16371 15938 17781 18621 20306 23188 27745 28753 35350 38312 42428 48342 58862 73572 110478 105881 132497 160411 186046 222225 256985 273352 254884 269878 346363 352463 382294 424443 459543 492922 516987 508363 553923 603438 689215 770852 822025 899020 944353 1059440 1259300 1179180 1200230 1303050 1525680 1732706 1918077 2020403 2169487 1605296 1969184 2266024 2336524 2329060 2412547 2315301 2250154 2408476 2614221 2567445
United States USA Bound rate, simple mean, primary products (%) TM.TAX.TCOM.BR.ZS 4.08 4.08 4.08 4.08 4.08 4.08 4.08 3.69 3.58 3.46 3.37 3.33 3.3 3.18 3.14 3.14 3.14 3.02 2.99 2.99 4.2 4.2 4.23 4.23 4.23
United States USA Bound rate, simple mean, manufactured products (%) TM.TAX.MANF.BR.ZS 3.39 3.39 3.39 3.39 3.39 3.39 3.39 3.75 3.74 3.72 3.7 3.7 3.7 3.71 3.75 3.76 3.75 3.66 3.65 3.63 3.45 3.45 3.46 3.46 3.46
United States USA Urban population SP.URB.TOTL 126462473 129276215 131988693 134615404 137215986 139663053 142008703 144288757 146463196 148629124 150922373 152865492 154531732 156034954 157488501 159070594 160611122 162256678 164005080 165847531 167551171 169552427 171528659 173459636 175321738 177239105 179244877 181215212 183232441 185333919 187966119 191509147 195199459 198806845 202278113 205718394 209146726 212694273 216206090 219721677 223069137 225792302 228400290 230876596 233532722 236200507 238999326 241795278 244607104 247276259 249845296 252186596 254576561 256899730 259361210 261865944 264366216 266676634 268720071 270663028
United States USA Technicians in R&D (per million people) SP.POP.TECH.RD.P6
United States USA Population ages 65 and above, male SP.POP.65UP.MA.IN 7339965 7483584 7604166 7711112 7814310 7907691 8061821 8207140 8342311 8469124 8600567 8807658 8977241 9125820 9266190 9408229 9646808 9896843 10165120 10445707 10708846 10937070 11142292 11332916 11516457 11702240 11949089 12176292 12388642 12586569 12788727 13038598 13276376 13486429 13660347 13802526 13949140 14080123 14192793 14301258 14414059 14620751 14818992 15016619 15239541 15480384 15790766 16118061 16483342 16901413 17391871 17962743 18603482 19289958 20015668 20761867 21550046 22314476 23058935 23812477
United States USA Population ages 35-39, female (% of female population) SP.POP.3539.FE.5Y 6.86309966690574 6.75813525597259 6.62790621629155 6.47612027930265 6.30964642750165 6.1358565617337 5.96650555850097 5.79167070214071 5.62272336239985 5.47711511026696 5.36758907979016 5.29063870385689 5.24634138668973 5.23554619018952 5.26142154925626 5.32907784827591 5.43399990990958 5.56937628504446 5.72742150872638 5.90650685631968 6.11092966365113 6.35549116669427 6.6181865119019 6.87451881022366 7.10233673994375 7.29683466780996 7.48388701285653 7.62873603138942 7.73117542723358 7.8114857069997 7.89272423236862 7.98414041015977 8.08409965362843 8.1710723978405 8.22390618962595 8.23807431516387 8.19758798683242 8.13293144592041 8.04347861707116 7.92676808878804 7.7838716077612 7.62258910461632 7.43104760471758 7.22997380608799 7.0455209901396 6.89111628310009 6.74007771042914 6.62368497125785 6.53609053528581 6.46496496636902 6.40207174707093 6.34017845989809 6.2893224845517 6.25150812196062 6.2315126488842 6.23201540202668 6.24927945188514 6.28210444332409 6.32704218383546 6.37870557850764
United States USA Population ages 10-14, female (% of female population) SP.POP.1014.FE.5Y 8.97011662290343 9.11851393945232 9.21983560769687 9.28738244127151 9.3444925117612 9.40948218564654 9.4939304175252 9.57291351656328 9.63684166880329 9.66625377013487 9.64539102341659 9.59690678822388 9.49846230384383 9.36011381759796 9.1870511768336 8.97644657531252 8.73007541194128 8.45531740731881 8.16491230104821 7.88110582349461 7.62393157452973 7.41919167322719 7.24520581498365 7.09651340310481 6.96385656134556 6.84127841698141 6.7546073473029 6.68939145383395 6.64356040235013 6.61569739684071 6.60413771831953 6.62275833618976 6.66340329066777 6.7187423412294 6.77950692540387 6.83629842366065 6.88227063228428 6.93312425696945 6.98610399283862 7.03646092808658 7.07877559352746 7.10718655726802 7.12158433593584 7.12281537698473 7.09989516180655 7.03533002428476 6.92464866682669 6.80182633062179 6.68070341650535 6.58248999141608 6.52102592548918 6.45477230938057 6.39915975723382 6.3488373427392 6.29984956195191 6.25429563181884 6.25228770292958 6.25095380303971 6.24490375377582 6.22096846353715
United States USA Survival to age 65, male (% of cohort) SP.DYN.TO65.MA.ZS 63.960704 64.011012 64.06132 64.0056454 63.9499708 63.8942962 63.8386216 63.782947 64.1596456 64.5363442 64.9130428 65.2897414 65.66644 66.3960512 67.1256624 67.8552736 68.5848848 69.314496 69.8501876 70.3858792 70.9215708 71.4572624 71.992954 72.249233 72.505512 72.761791 73.01807 73.274349 73.5689928 73.8636366 74.1582804 74.4529242 74.747568 75.2586668 75.7697656 76.2808644 76.7919632 77.303062 77.5896178 77.8761736 78.1627294 78.4492852 78.735841 78.9608472 79.1858534 79.4108596 79.6358658 79.860872 80.0166002 80.1723284 80.3280566 80.4837848 80.639513 80.4498074 80.2601018 80.0703962 79.8806906 79.690985 79.8041226
United States USA Vitamin A supplementation coverage rate (% of children ages 6-59 months) SN.ITK.VITA.ZS
United States USA Unemployment, male (% of male labor force) (national estimate) SL.UEM.TOTL.MA.NE.ZS 5.40000009536743 6.40000009536743 5.19999980926514 5.19999980926514 4.59999990463257 4 3.20000004768372 3.09999990463257 2.90000009536743 2.79999995231628 4.40000009536743 5.30000019073486 5 4.19999980926514 4.90000009536743 7.90000009536743 7.09999990463257 6.30000019073486 5.30000019073486 5.09999990463257 6.90000009536743 7.40000009536743 9.89999961853027 9.89999961853027 7.40000009536743 7 6.90000009536743 6.19999980926514 5.5 5.19999980926514 5.69999980926514 7.19999980926514 7.90000009536743 7.19999980926514 6.17000007629395 5.63000011444092 5.44000005722046 4.94000005722046 4.42000007629395 4.1100001335144 3.90000009536743 4.80000019073486 5.92999982833862 6.26999998092651 5.6399998664856 5.07000017166138 4.61999988555908 4.73000001907349 6.09999990463257 10.289999961853 10.5200004577637 9.36999988555908 8.22999954223633 7.6399998664856 6.26000022888184 5.36999988555908 4.94000005722046 4.40000009536743 3.95000004768372 3.72000002861023 7.80000019073486
United States USA Unemployment, youth total (% of total labor force ages 15-24) (national estimate) SL.UEM.1524.NE.ZS 11.1999998092651 13 11.3000001907349 12.1999998092651 11.5 10.1000003814697 8.60000038146973 8.69999980926514 8.69999980926514 8.39999961853027 11 12.6999998092651 12.1000003814697 10.5 11.8999996185303 16.1000003814697 14.6999998092651 13.6000003814697 12.3000001907349 11.8000001907349 13.8999996185303 14.8999996185303 17.7999992370605 17.2000007629395 13.8999996185303 13.6000003814697 13.3000001907349 12.1999998092651 11 10.8999996185303 11.1999998092651 13.3999996185303 14.1999998092651 13.3999996185303 12.539999961853 12.1899995803833 12.1099996566772 11.4399995803833 10.4399995803833 9.89999961853027 9.34000015258789 10.5600004196167 12 12.4300003051758 11.8500003814697 11.3100004196167 10.5100002288818 10.539999961853 12.8500003814697 17.6000003814697 18.4200000762939 17.3099994659424 16.1700000762939 15.5500001907349 13.3999996185303 11.6199998855591 10.4300003051758 9.23999977111816 8.60999965667725 8.39000034332275 14.9200000762939
United States USA Labor force participation rate, male (% of male population ages 15+) (national estimate) SL.TLF.CACT.MA.NE.ZS 83.3000030517578 82.9000015258789 82 81.4000015258789 81 80.6999969482422 80.4000015258789 80.4000015258789 80.0999984741211 79.8000030517578 79.6999969482422 79.0999984741211 78.9000015258789 78.8000030517578 78.6999969482422 77.9000015258789 77.5 77.6999969482422 77.9000015258789 77.8000030517578 77.4000015258789 77 76.5999984741211 76.4000015258789 76.4000015258789 76.3000030517578 76.3000030517578 76.1999969482422 76.1999969482422 76.4000015258789 76.4000015258789 75.8000030517578 75.8000030517578 75.4000015258789 75.120002746582 75.0500030517578 75.0299987792969 75.0899963378906 74.8899993896484 74.7200012207031 74.8099975585938 74.4400024414063 74.0999984741211 73.5100021362305 73.3300018310547 73.3199996948242 73.4599990844727 73.2200012207031 72.9499969482422 71.9499969482422 71.1800003051758 70.4800033569336 70.1600036621094 69.7300033569336 69.2099990844727 69.0500030517578 69.1900024414063 69.0699996948242 69.0500030517578 69.1500015258789 67.6600036621094
United States USA Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) SL.TLF.ACTI.1524.MA.ZS 68.5800018310547 66.8199996948242 66.6699981689453 66.4599990844727 66.9499969482422 67.0899963378906 65.9499969482422 65.4899978637695 65.4499969482422 65.0699996948242 65.1500015258789 63.25 61.2799987792969 59.4599990844727 58.9500007629395 58.4599990844727 59.1100006103516 57.4000015258789 56.7700004577637 54.2700004577637 52.2999992370605 51.9799995422363 53.2999992370605 52.4799995422363 52.3899993896484 52.439998626709 52.939998626709 53.2200012207031 52.4000015258789 53.060001373291
United States USA Average working hours of children, study and work, female, ages 7-14 (hours per week) SL.TLF.0714.SW.FE.TM
United States USA Employment in industry, male (% of male employment) (modeled ILO estimate) SL.IND.EMPL.MA.ZS 35.1800003051758 35.1100006103516 35.0200004577637 35.0800018310547 34.9500007629395 34.8300018310547 34.7400016784668 34.5800018310547 34.4199981689453 34.2299995422363 33.689998626709 32.7000007629395 32.4099998474121 32.4799995422363 32.4099998474121 32.7200012207031 32.3800010681152 31.6299991607666 29.9799995422363 29.4400005340576 29.2099990844727 29.1200008392334 29.4599990844727 29.4599990844727 29.2299995422363 29.1900005340576 29.1299991607666 29.3600006103516 29.3299999237061
United States USA Employment to population ratio, 15+, total (%) (national estimate) SL.EMP.TOTL.SP.NE.ZS 56.0999984741211 55.4000015258789 55.5 55.4000015258789 55.7000007629395 56.2000007629395 56.9000015258789 57.2999992370605 57.5 58 57.4000015258789 56.5999984741211 57 57.7999992370605 57.7999992370605 56.0999984741211 56.7999992370605 57.9000015258789 59.2999992370605 59.9000015258789 59.2000007629395 59 57.7999992370605 57.9000015258789 59.5 60.0999984741211 60.7000007629395 61.5 62.2999992370605 63 62.7999992370605 61.7000007629395 61.5 61.7000007629395 62.5800018310547 62.9500007629395 63.2200012207031 63.8400001525879 64.0599975585938 64.25 64.4000015258789 63.6599998474121 62.7299995422363 62.2799987792969 62.3499984741211 62.689998626709 63.1199989318848 62.9900016784668 62.1800003051758 59.3199996948242 58.4700012207031 58.3699989318848 58.560001373291 58.5800018310547 59.0099983215332 59.3400001525879 59.7299995422363 60.1100006103516 60.4199981689453 60.7799987792969 56.7700004577637
United States USA Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) SL.EMP.1524.SP.FE.ZS 51.4000015258789 50.9900016784668 51.4599990844727 52.8899993896484 52.8400001525879 53.1699981689453 53.7400016784668 54.7999992370605 54.4900016784668 54.7000007629395 53.1300010681152 51.1300010681152 49.3499984741211 48.9799995422363 49.5200004577637 49.2900009155273 48.7400016784668 47.1199989318848 43.8400001525879 41.7299995422363 41.4900016784668 42.5699996948242 42.7599983215332 43.7900009155273 44.9500007629395 45.7900009155273 47.0800018310547 47.4199981689453 47.9199981689453
United States USA Poverty headcount ratio at national poverty lines (% of population) SI.POV.NAHC
United States USA Proportion of people living below 50 percent of median income (%) SI.DST.50MD 14.7 15.2 18 18.7 18.2 17.7 17.5 17.7 18.2 18 18 18
United States USA Domestic general government health expenditure (% of current health expenditure) SH.XPD.GHED.CH.ZS 44.19009399 45.15036392 45.13130569 44.91452408 45.2465744 45.39051437 46.31615448 46.40944672 47.44251251 48.38542557 48.63797379 48.67468643 48.55210876 48.96592331 50.20534897 50.69922638 50.38727951 50.2542038 50.4128685
United States USA Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SH.UHC.NOP2.CG 0.0731481537222862 0.0705597475171089 0.0866628289222717 0.0784592926502228 0.00421220436692238 0.00204531475901604 0 9.31322574615479E-09 0.000910195522010326 0.00287522561848164 0 0.00246812589466572 0.00150966923683882 0.00214072875678539 0.00320082530379295 0.00195407308638096 0.17015415430069 0
United States USA Suicide mortality rate (per 100,000 population) SH.STA.SUIC.P5 11.3 11.9 13.2 15 15.3
United States USA Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) SH.STA.ORCF.ZS
United States USA Exclusive breastfeeding (% of children under 6 months) SH.STA.BFED.ZS 23.3 25.5 26.4 34.7
United States USA Lifetime risk of maternal death (%) SH.MMR.RISK.ZS 0.0229036535589857 0.0245009826736958 0.0249098038589666 0.0256606956128131 0.0257949902348406 0.0264402355219897 0.027052392044394 0.0271870191934373 0.0276597278498364 0.0286108491552721 0.0282222335556632 0.0290083081598091 0.0291022604654148 0.0294522098422075 0.0301588886249902 0.0319954017294704 0.0341953041362802 0.0335572948257602
United States USA Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) SH.HIV.INCD.YG.P3 0.1 0.1 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.09 0.09 0.09 0.09 0.09 0.09 0.08 0.08
United States USA Demand for family planning satisfied by modern methods (% of married women with demand for family planning) SH.FPL.SATM.ZS 88.3 86.8 86.1 86.4 83.4 77.2
United States USA Number of under-five deaths SH.DTH.MORT 126977 123506 119542 115169 110466 105576 100611 95602 90641 85811 81182 76812 72702 68826 65199 61858 58869 56263 54050 52201 50691 49477 48512 47767 47209 46774 46395 45989 45495 44826 43948 42860 41577 40186 38774 37424 36212 35187 34372 33752 33310 33043 32905 32838 32787 32675 32444 32057 31504 30805 30021 29207 28429 27727 27128 26639 26262 25966 25675 25352
United States USA Women who believe a husband is justified in beating his wife when she refuses sex with him (%) SG.VAW.REFU.ZS
United States USA Government expenditure per student, tertiary (% of GDP per capita) SE.XPD.TERT.PC.ZS 20.83643 20.04063 21.89296 20.41236 21.16585 21.52057 19.42953
United States USA Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) SE.TER.CUAT.ST.FE.ZS 35.3745307922363 36.0050392150879 37.5226287841797 38.4406700134277 39.1529693603516 39.8992195129395 40.5313186645508 41.1223106384277 42.164680480957 42.8737182617188 43.4328994750977 44.6219596862793 46.4446411132813
United States USA Trained teachers in secondary education (% of total teachers) SE.SEC.TCAQ.ZS
United States USA School enrollment, secondary, male (% gross) SE.SEC.ENRR.MA 108.233612060547 84.5538024902344 87.7070693969727 90.9808578491211 91.2828063964844 93.5290908813477 92.9182891845703 93.5056610107422 93.9593963623047 91.4298400878906 90.7686004638672 96.5697174072266 98.2193374633789 95.9918518066406 96.5326080322266 94.7331085205078 93.3368377685547 94.3707275390625 94.7191162109375 94.9340667724609 94.1755599975586 94.2021102905273 94.9368362426758 94.6685791015625 95.0905990600586 94.5043563842773 94.3130111694336 95.7827072143555 96.0117874145508 96.0696334838867 96.3625335693359 97.1537170410156 99.0528335571289 99.1985168457031 99.7356567382813
United States USA Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.PO.ZS 21.2999992370605 26.2999992370605 31.1000003814697 31.8913097381592 32.1531105041504 45.2398109436035 46.5410614013672 36.1269989013672 36.2299385070801 37.3678512573242 38.2589111328125 38.6207695007324 39.1374206542969 39.944938659668 40.6632308959961 41.5046691894531 41.8897018432617 42.3375091552734 43.5118789672852 45.167911529541
United States USA Adjusted net enrollment rate, primary, male (% of primary school age children) SE.PRM.TENR.MA 99.1522 97.58749 95.8711 97.51406 97.73349 97.67179 94.21559 99.70812 95.60171
United States USA Persistence to grade 5, female (% of cohort) SE.PRM.PRS5.FE.ZS
United States USA School enrollment, primary (% gross) SE.PRM.ENRR 88.8608779907227 88.4217987060547 90.7070465087891 89.8160781860352 89.6162109375 90.4418487548828 90.6578826904297 91.073486328125 90.6162490844727 98.9110488891602 98.6317977905273 100.481620788574 99.0345077514648 97.8936614990234 98.2329330444336 99.9011306762695 101.173690795898 106.033233642578 105.328598022461 103.899276733398 103.115478515625 104.106407165527 103.559829711914 102.562042236328 101.93083190918 100.729957580566 101.326133728027 99.8794021606445 101.113960266113 101.249656677246 101.8740234375 102.201042175293 103.093208312988 103.234870910645 102.211906433105 100.333473205566 99.3898773193359 99.1653213500977 99.455436706543 99.6733779907227 100.299911499023 101.362861633301 101.821441650391 101.256561279297
United States USA School enrollment, preprimary, female (% gross) SE.PRE.ENRR.FE 51.1839294433594 51.3566513061523 55.2304496765137 62.1956214904785 61.0014686584473 58.8904304504395 59.977180480957 59.9421195983887 64.0547332763672 67.9955673217773 70.5953063964844 69.3330383300781 70.8482666015625 70.3601303100586 69.9021224975586 71.4453887939453 72.7290725708008 71.3406677246094 71.7789611816406 73.1509704589844 72.7014923095703
United States USA Real effective exchange rate index (2010 = 100) PX.REX.REER 105.708234997965 116.542360074296 130.36114389561 136.46970473961 144.878304615875 150.0015253926 125.960418020597 113.398351568842 107.226072846418 110.881300116653 105.839575950744 104.374308901272 101.784546514932 104.750805289374 104.194358389452 100.745748310197 103.741319560062 108.863027207612 116.714252340515 115.56223874055 119.460964207496 126.223780378278 125.916795083185 117.992863057314 112.401348926191 110.840591180397 109.925507650142 104.892560652696 100.442292580689 104.697523257446 100 95.0093627192522 97.3750597382273 97.536314916993 99.1754941857109 109.874120053284 114.348319226005 114.074037370404 112.981978209148 116.118433271798
United States USA Adequacy of social safety net programs (% of total welfare of beneficiary households) per_sa_allsa.adq_pop_tot
United States USA DEC alternative conversion factor (LCU per US$) PA.NUS.ATLS 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
United States USA GNI per capita, PPP (current international $) NY.GNP.PCAP.PP.CD 23640 24100 25090 25910 27250 28450 29870 31500 33120 34720 36800 37700 38430 39740 42060 44570 47160 48280 48290 46940 48900 50820 53120 54360 56730 58340 58970 61020 63780 66080
United States USA Gross domestic savings (% of GDP) NY.GDS.TOTL.ZS 21.7825721161685 21.9730437395373 22.3170016652203 23.6201535594818 22.6421993175183 21.2256603343573 21.9513379865187 22.4169551153651 23.7530718460078 24.2530641326912 22.853337075785 23.88649727693 21.4727364675223 20.8319230563907 22.5515669778159 21.5605791131969 20.8611567176482 20.6384887178014 20.7387349950482 20.9762867849078 20.2236269994486 19.6459509048934 19.5448019708214 19.4433699557006 20.0099187126642 20.0977283415987 20.5080265106857 21.2209256860449 21.1629777763471 20.76392821987 20.0169558390917 18.6999413842592 17.8183740434422 17.3512529421483 17.5898869308699 17.8482890449451 17.9587057474941 17.6213158225342 16.2043386743471 15.0607800675303 15.3152724901032 15.3752976292013 16.5105398261433 17.4897799897993 17.9093020960115 18.2148108405757 17.5482258235687 17.6045567195617 17.9570460881926 18.1660427599653
United States USA GDP growth (annual %) NY.GDP.MKTP.KD.ZG 2.29999999999968 6.10000000000012 4.39999999999992 5.8000000000003 6.39999999999976 6.50000000000028 2.50000000000003 4.79999999999959 3.09999999999999 -0.322760835616648 3.29336238703934 5.25889534832913 5.64571947321326 -0.540546529606971 -0.205464005057081 5.38813922012807 4.62415921177256 5.53530269624309 3.16615026772367 -0.256751936461413 2.53771870053738 -1.80287445201735 4.58392730884007 7.23662000401062 4.16965594529771 3.46265172126709 3.45957255449522 4.177046383082 3.67265632838441 1.88596032430949 -0.108259104705525 3.52244248662824 2.75284432663625 4.02883906807251 2.6842871338757 3.7725013199817 4.44721633956435 4.48140755308913 4.75323599078349 4.12748401141975 0.998340800315447 1.74169524302894 2.86121077200275 3.79889112264793 3.51321379594287 2.85497229827358 1.87617145523009 -0.136579804247219 -2.53675706962862 2.56376656343198 1.55083550424324 2.24954585097743 1.84208107011949 2.52597345040711 2.90802186128343 1.63783845703892 2.36980078440416 2.92732573232968 2.16117628829923
United States USA Inflation, GDP deflator (annual %) NY.GDP.DEFL.KD.ZG 1.35015389642166 1.24463471200144 1.08838601136836 1.50393967901161 1.91982581124751 2.89877853468326 3.15127936555434 4.36718824053682 4.9584884495751 5.57686234169803 5.06915656972566 4.3227633335562 5.47988379621107 8.99868900114132 9.26262075179135 5.50338647290695 6.21336043644472 7.03383307135539 8.29659310362634 9.0330378760957 9.46217960879866 6.17822038106277 3.91677333156584 3.6077181134463 3.16244543657982 2.01389582089995 2.47249250175679 3.52743627302752 3.92033998673591 3.74333445632146 3.38175567271037 2.27890838632088 2.36928027473641 2.13537873591119 2.09683126636494 1.83103084756513 1.72439099871711 1.12552040409338 1.44380351758386 2.23547441123833 2.19342533638671 1.58176301417505 1.85709519801695 2.69221212837417 3.11494235130895 3.0262046366861 2.68627890794771 1.94513170436437 0.762349990994537 1.16525054065757 2.08890377813606 1.9178490081095 1.75491578553326 1.8498274668072 1.04146187127856 1.03526887876487 1.88368859016883 2.43600189593653 1.94194523627264
United States USA Adjusted savings: natural resources depletion (% of GNI) NY.ADJ.DRES.GN.ZS 0.447224603708224 0.431371405667411 0.439051697623581 0.568025889502992 2.28699872262459 1.96083655894759 1.88263784496682 1.94495619010039 1.77324824858144 3.53245850727253 4.01775099764002 2.71546506011797 1.34863384331574 1.8363945607764 1.71031268037323 1.47092376139023 0.585327066356038 0.900474027281319 0.652355081419847 0.719443369941549 0.835636423379818 0.593547958172917 0.621877623202978 0.589417836353839 0.473865810624333 0.417573547294806 0.565289959277584 0.410236601224143 0.222560009374101 0.328864327880526 0.624416496849919 0.508545328354626 0.325366084834059 0.476881007185843 0.665261189873243 0.72856822306376 0.60846256384515 0.573047055209674 0.962070686307309 0.343418423602281 0.348184572885138 0.468819686349652 0.329954764850732 0.358070317030774 0.308207133049047 0.0726485767716836 0.134722085034786 0.199586928030016 0.370429290322607
United States USA Services, value added (constant LCU) NV.SRV.TOTL.KN 9135061124000 9543179268000 9966650719000 10341243843000 10566917626000 10803632773000 11080660167000 11426265828000 11886664325000 12194409082000 12403799688000 12479864340000 12330958463000 12619879182000 12832487934000 13116843267000 13262158710000 13592027950000 13995858190000 14249987176000 14571938965000 14977092893000
United States USA Industry (including construction), value added (current LCU) NV.IND.TOTL.CN 1984168572000 2054591437000 2171714180000 2302101247000 2272339446000 2257414776000 2376360408000 2560039729000 2766830195000 2983106998000 3099364312000 3069207780000 2792112324000 2901755514000 3017887579000 3102696338000 3232460043000 3387795668000 3376877500000 3365269049000 3580618111000 3835854000000
United States USA Agriculture, forestry, and fishing, value added (current US$) NV.AGR.TOTL.CD 114674330000 110022333000 110866523000 117948761000 119503208000 106130395000 127788915000 153729333000 148911711000 138239746000 154175628000 156807011000 139948397000 156289352000 189073562000 187695610000 223828260000 207796973000 189111195000 175026476000 183843154000 177932580000
United States USA Gross capital formation (constant 2010 US$) NE.GDI.TOTL.KD 797653281245.935 841125136622.785 906875942425.549 988380689142.333 940655084474.834 823857346328.906 947203426443.765 1051592857048.9 1163906413864.63 1208753081180.24 1115629522822.51 1191169298065.84 1069955439793.51 1162725086454.79 1438785129184.34 1473358628648.03 1500044947536.53 1552537668055.76 1578758263225.83 1635951011633.52 1619148945995.68 1534081745169.27 1618541267927.42 1705609432516.16 1859708901464.02 1912981394853.98 2058209732370.2 2253364928027.94 2448515262171.11 2643203761807.51 2804385358584.14 2692421824253.21 2705142235402.88 2816907422752.72 3037326485330.38 3207691318085.13 3305757003068.19 3252226854094.77 3050140234746.7 2543942164870.94 2809976000000 2928502460843.53 3152912754676.21 3300019546725.54 3445051481866.5 3618957379004.44 3585580762859.57 3704583643691.15 3917910855410.93 4001614911933.52
United States USA Exports of goods and services (annual % growth) NE.EXP.GNFS.KD.ZG 1.73312041915474 7.79457096561546 18.8187996636444 7.94279369238228 -0.640347570375582 4.36640350985076 2.40351818791984 10.5554759594544 9.90266389540837 10.767450514896 1.21865493465565 -7.6567708215417 -2.59120476417438 8.15277819246903 3.35078843723267 7.66231421719247 10.9286357233022 16.2123796278113 11.5767888962046 8.82185701354692 6.61422324466861 6.92738213727952 3.27537793151549 8.83591542193597 10.279101044508 8.17562907061478 11.9099104004424 2.33579484372848 4.98141975828652 8.34422400346335 -5.78423614574461 -1.73692057568502 2.18253458349125 9.66825614332893 7.12786957468523 9.34282465136376 8.70182205405419 5.65816268058887 -8.39655290982438 12.1382521389453 7.13885210729887 3.40865170073484 3.57512506383453 4.21449218710599 0.421515644714646 0.295295962419601 3.91531902838584 2.98954042942977 -0.116766268691137
United States USA Households and NPISHs final consumption expenditure (% of GDP) NE.CON.PRVT.ZS 60.2554916924671 60.088165858265 60.0537092196918 59.6035712682127 60.1951278860347 61.1635440357433 61.2607370936025 61.1950758612872 60.4802094234604 60.3432985680542 61.269825048551 60.3032638799242 61.943382193075 62.7842911934328 61.7280556606094 62.52231227669 63.0242480234761 63.3603043325579 63.5930760566629 63.3999340610255 63.8755998513536 64.0364792618018 64.3765105645775 64.9113611182757 64.7840278536334 64.9575005670998 64.9636658531854 64.5497504883984 64.8501147104881 65.1988052775843 65.9570439149221 66.7714350259939 67.1397645220481 67.4022047552024 67.2412323963909 67.0964132297758 67.0329748878451 67.1638938010936 67.8069443476881 68.1172027233478 67.9415700136631 68.4642333779518 67.9558498853157 67.4251515032796 67.4538858981085 67.4769790669922 68.2339776996649 68.344240339615 67.9940348000532 67.8600645558443
United States USA General government final consumption expenditure (current US$) NE.CON.GOVT.CD 192785000000 208960000000 225498000000 239125000000 265205000000 296725000000 314508000000 341169000000 370770000000 404705000000 453650000000 507041000000 554529000000 595393000000 634728000000 690640000000 737989000000 776893000000 820454000000 881429000000 948186000000 1004857000000 1048383000000 1073040000000 1108101000000 1141743000000 1172889000000 1220528000000 1267607000000 1351881000000 1437995000000 1537392000000 1645041000000 1746986000000 1852686000000 1962705000000 2073341000000 2198821000000 2352394000000 2430603000000 2510143000000 2511754000000 2515979000000 2532006000000 2565418000000 2607628000000 2660855000000 2742704000000 2891289000000 2995056000000
United States USA Export value index (2000 = 100) TX.VAL.MRCH.XD.WD 31.37550273 30.85024263 29.25160157 28.97139141 30.83060327 31.82655595 36.77922686 42.85409537 48.86304831 52.05480024 59.50854593 60.40394803 64.15912023 63.13346529 71.25175228 74.78316141 79.94099125 88.13993283 87.2390711 88.98592947 100 93.24507173 88.64139206 92.69143312 104.2148921 115.2399612 131.2115848 146.8439146 164.6517921 135.058024 163.5075545 189.5989093 197.6809589 202.0151602 207.2508754 192.1649329 185.5706992 197.7538565 212.8077752 210.1449129
United States USA Insurance and financial services (% of commercial service exports) TX.VAL.INSF.ZS.WT 0.831600831600832 0.950570342205323 1.37575236457438 1.13636363636364 0.9428403064231 1.11524163568773 0.924214417744917 0.776196636481242 0.855973204317082 4.24510947665661 3.98845447389137 4.78053020425902 4.71976401179941 5.25078369905956 4.68434468831728 4.64618146882334 6.25650885203877 6.28780152273428 4.76083859149196 4.46568201563858 3.46291331546023 3.67420693347611 3.13725490196078 3.56177084138144 3.7108554659161 4.13245416564757 4.52064259012688 5.26945597785585 5.95835100587976 10.768113041093 11.3626686329695 11.2100405304486 12.2385951898662 13.6728748921902 15.0592989968486 15.1474069114126 16.3341710720166 17.8720007077603 17.9006950274676 17.6199394325789 18.0098963284089 18.5735214594375 18.3192640725304 17.9973884838156 18.4813461997699 17.4285492824859 17.1986646555108 18.046205630355 17.8855278625173 17.8063344173918
United States USA Merchandise imports by the reporting economy, residual (% of total merchandise imports) TM.VAL.MRCH.RS.ZS 5.48893987273278 5.74256922470868 5.42261840220511 5.30070911950541 4.6188709315935 4.67902360678919 4.21632654533128 4.11850439852096 4.05070236118928 3.67699715371254 3.46243485389705 3.30467286651854 3.16766941368792 3.81740940063482 4.42732977921476 3.5390841199439 2.43140428363988 2.4303014815415 2.37456198809038 2.43782570964798 2.4028318033297 2.35433511426095 2.2103409184518 2.23670804945187 2.06593380829433 1.63581518418266 1.67259510690566 1.58310835504521 1.56549597202164 1.51741014689875 1.4551443481221 1.32938818064192 1.18635633215589 1.01845771144279 1.08404582788143 0.917850714059687 0.978325992913091 0.0863568235910686 0.0504184957441201 0.0425568441934992 0.0676357762971936 0.0526788513519239 0.0421819512479105 0.0605373436195233 0.0427605918176038 0.0658301058014765 0.0658503543142976 0.0466097284114563 0.0429595704504638 0.0362877828844391 0.0579842692518749 0.0691769115695555 0.0445214980648166 0.0255508408240278 0.0223488894568255 0.0269857102772053 0.0237619597292137 0.00581404495724963 0.00556972328953526 0.00450993659942363
United States USA Food imports (% of merchandise imports) TM.VAL.FOOD.ZS.UN 23.5529412252051 23.417680770982 22.2839570188224 19.6109606737163 18.7417870407214 18.2047284590419 16.9121852230896 15.270191176698 16.124107249655 14.5383669197079 13.6801349173059 13.7576801708969 11.1839990047221 10.8350449084436 10.1802974719302 9.92821648135698 9.62169603055356 9.17929511957847 8.21976083743851 7.70980087623955 7.86553893007574 7.84581865189515 7.17184949901978 7.03205406638735 7.14664696671624 6.48048006886337 5.71130962138627 5.80746640047511 5.91463736972724 5.72090127904871 5.32643627498304 5.03528231040926 4.77976969314125 4.92434364605042 4.98481660002539 4.88207534288116 4.59167749164559 3.92515759512508 4.24520882218111 4.59614092906046 4.66677652520533 4.37188328255649 4.20217607983639 4.18360678451427 4.34641198953585 4.39689582038734 5.43239860670576 4.94657490638714 5.03802471518591 4.89914276151934 5.14581037439152 5.52276573664542 5.83172123490707 6.11930491379426 6.08834028814113 5.95676252502502 6.18022466545531
United States USA Share of tariff lines with international peaks, all products (%) TM.TAX.MRCH.IP.ZS 10.21515 10.27702 10.56253 10.63137 10.56928 10.30339 10.0683 9.892367 9.840349 8.912813 8.745571 8.752975 8.777537 8.006728 6.543021 6.196935 6.004782 6.658692 5.787603 5.540192 5.468874 5.626895 5.443512 5.445902 5.575315 5.454132 5.355588 5.994655 5.555718 5.845908
United States USA International tourism, receipts for travel items (current US$) ST.INT.TVLR.CD 74834000000 81772000000 86175000000 85001000000 89145000000 96871000000 86408000000 79625000000 76981000000 85648000000 93423000000 96149000000 106919000000 117029000000 110754000000 130315000000 142197000000 153921000000 170981000000 180264000000 192602000000 192866000000 193833000000 196464000000 193318000000
United States USA Completeness of birth registration, urban (%) SP.REG.BRTH.UR.ZS
United States USA Population ages 80 and above, male (% of male population) SP.POP.80UP.MA.5Y 1.13932346910898 1.1945344434811 1.2332815136468 1.25040866101937 1.24468221728833 1.21950124259283 1.28580351467596 1.33483704898241 1.36222874593523 1.36580833623293 1.34598816077084 1.41193859978017 1.46111024711075 1.49023761356023 1.49567009508578 1.47627390355722 1.52473033547235 1.54004471936126 1.52362331606787 1.48928783391517 1.45477166367664 1.54422633028823 1.63033220461694 1.69740941307857 1.73196707015321 1.73225188948186 1.80426432974978 1.84873480976037 1.86925557671506 1.87301616122899 1.86569977424325 1.9418633140365 1.99959182109516 2.03455866521888 2.04577341599065 2.03678807078047 2.10731866639798 2.16106752180517 2.19677094081567 2.21532735550499 2.21973533482479 2.30777471550704 2.37285562066338 2.41443368469672 2.43378182039524 2.43401298942726 2.5184566301046 2.5901943624443 2.64635004246911 2.68190323980217 2.69581316303009 2.76195571291831 2.80739078236427 2.83806305801593 2.8607600972551 2.88056323058023 2.96408099786787 3.03693631042688 3.10021645542017 3.15470475687714
United States USA Population ages 55-59, male (% of male population) SP.POP.5559.MA.5Y 4.88078328579031 4.84879959473433 4.81748116666803 4.80246023598595 4.81028853914945 4.83373546505079 4.81092460350357 4.79437809715929 4.79084176378573 4.80095765545258 4.82073841250896 4.81604143633346 4.80680185543326 4.80337460159377 4.81628370722839 4.8476448238772 4.87001113089292 4.89949421368809 4.92628755226395 4.93217495750006 4.90598700258764 4.85843042249796 4.79518137483281 4.71947287091709 4.63505842564403 4.54508755398827 4.43699889624482 4.32258822174238 4.21405230979112 4.13037731630476 4.08373162423603 4.06030424854914 4.0735258099761 4.11086253421318 4.15714309689594 4.2070699523949 4.25546074877563 4.30543031372949 4.36557096724688 4.45654047896808 4.59424404972938 4.78491918232701 5.01801643904299 5.2715079360515 5.51237061148507 5.71974222838041 5.87315602024518 5.99602598515005 6.09833574557388 6.1974094647591 6.30388810341279 6.38839786115668 6.47893954625045 6.56587057078514 6.63547881313573 6.67972926907076 6.69225493491227 6.68374718494407 6.65465397689375 6.60476966316111
United States USA Population ages 15-64 (% of total population) SP.POP.1564.TO.ZS 60.19319531751 60.0067089784951 59.990824576835 60.0987066270352 60.2684509464271 60.4716182162491 60.6744450700698 60.9087414595066 61.1776583272788 61.4906708977389 61.8517252321417 62.3265127057731 62.7977640266201 63.2722553979145 63.76105014511 64.2644426929989 64.5628402637052 64.8994441556391 65.2379922693879 65.5348359055075 65.7702971871341 65.9627936683329 66.1096937547033 66.2045199479907 66.2544875311116 66.2677446854691 66.1630018078362 66.047404177881 65.9253819983634 65.805804890688 65.6977181477276 65.5284626500019 65.394699066304 65.3082293329471 65.2831822807886 65.3222260833584 65.3417891962459 65.4481844460989 65.6104473562473 65.7885385345406 65.9633805661392 66.1575671207519 66.3122007272379 66.454148173037 66.617507766885 66.8071542766919 66.8015565301074 66.838223954126 66.880046517597 66.8780843406327 66.8134265887699 66.7246048062274 66.6153980358509 66.4779068738499 66.3160579782416 66.1333886980394 65.9429787679709 65.7221060220984 65.4833059619314 65.2410767325889
United States USA Population ages 0-14, female (% of female population) SP.POP.0014.FE.ZS 29.7695685450185 29.8661768598687 29.8045040704137 29.6240362444049 29.3794118660275 29.0964145009023 28.7563888860332 28.381411242251 27.9726978039126 27.5233601738075 27.0322333672915 26.4415043942165 25.8606799076434 25.2758893148125 24.675861293159 24.0641227720301 23.5212415911163 22.9548152731816 22.3961845866814 21.8899526870423 21.4605870323434 21.1730829903441 20.9556102385405 20.7989873018281 20.6789871961072 20.5809366880104 20.609368037063 20.6408383576217 20.6754104646331 20.7152961786012 20.7574158505907 20.8872747158858 21.0025757213301 21.0910537025628 21.1382606580009 21.1402632769318 21.1823551415132 21.151400035914 21.0738295889894 20.9826239906168 20.8879879573549 20.7230491780655 20.5992689590398 20.4820440939079 20.3287787963265 20.1281270547875 20.0731198792165 19.9549980938249 19.8006883221194 19.6459642296047 19.501338866698 19.3415591372676 19.1559776647866 18.9633278866872 18.7742938315682 18.5925591604973 18.4026326644684 18.2466676142417 18.1048535943438 17.9519833351839
United States USA Mortality rate, infant (per 1,000 live births) SP.DYN.IMRT.IN 25.9 25.4 24.9 24.4 23.8 23.3 22.7 22 21.3 20.6 19.9 19.1 18.3 17.5 16.7 15.9 15.2 14.5 13.8 13.2 12.6 12.1 11.7 11.3 10.9 10.6 10.4 10.2 9.9 9.7 9.4 9.1 8.8 8.5 8.2 7.9 7.7 7.5 7.4 7.2 7.1 7 6.9 6.9 6.8 6.7 6.7 6.6 6.5 6.4 6.2 6.1 6 6 5.9 5.8 5.8 5.7 5.6 5.6
United States USA Refugee population by country or territory of origin SM.POP.REFG.OR 8 8 10 364 243 141 75 50 38 173 220 383 394 451 676 1353 2164 2126 2367 3019 3775 4454 4755 4980 4824 302 310 333 298
United States USA Unemployment with intermediate education, male (% of male labor force with intermediate education) SL.UEM.INTM.MA.ZS 7.32000017166138 6.61999988555908 6.51999998092651 5.98000001907349 5.42000007629395 4.86999988555908 4.73000001907349 5.76999998092651 7.1100001335144 7.57999992370605 6.92000007629395 6.38000011444092 5.82000017166138 6.03999996185303 7.84999990463257 13.0600004196167 13.3900003433228 12.1099996566772 10.6499996185303 10.0600004196167 8.22000026702881 7.15999984741211 6.51999998092651 5.78999996185303 5.15999984741211 4.84999990463257 9.97000026702881
United States USA Part time employment, total (% of total employment) SL.TLF.PART.ZS 29.6700000762939 29.0499992370605 29.0400009155273 28.0300006866455 29.4500007629395 27.2099990844727 25.9400005340576 27.0599994659424 26.7900009155273 27.1100006103516 27.1900005340576 26.6599998474121 26.4300003051758 26.1200008392334 26.7800006866455 30.7800006866455 28.8799991607666 28.5499992370605 27.7900009155273 27 27.2999992370605 27.7199993133545 26.3899993896484 26.5499992370605 25.3199996948242 24.7700004577637 27.9799995422363
United States USA Labor force with basic education, female (% of female working-age population with basic education) SL.TLF.BASC.FE.ZS 24.3600006103516 25.1200008392334 25.25 25.9599990844727 26.5900001525879 27.1700000762939 28.2999992370605 28.4699993133545 28.4300003051758 28.7099990844727 28.4899997711182 28.2000007629395 28.5799999237061 29.0799999237061 28.7999992370605 29.7099990844727 29.2999992370605 28.9099998474121 29.1700000762939 28.2600002288818 28.6000003814697 28.75 29.2999992370605 29.8500003814697 29.8799991607666 30.1000003814697 28.8600006103516
United States USA Children in employment, work only, male (% of male children in employment, ages 7-14) SL.TLF.0714.WK.MA.ZS
United States USA Child employment in services, male (% of male economically active children ages 7-14) SL.SRV.0714.MA.ZS
United States USA Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) SL.FAM.0714.MA.ZS
United States USA Self-employed, male (% of male employment) (modeled ILO estimate) SL.EMP.SELF.MA.ZS 10.8100004196167 10.6099996566772 10.8299999237061 10.2299995422363 9.88000011444092 9.75 9.53999996185303 9.22999954223633 8.89000034332275 8.64000034332275 8.5600004196167 8.47999954223633 8.80000019073486 8.84000015258789 8.77000045776367 8.63000011444092 8.39999961853027 8.27000045776367 8.36999988555908 8.32999992370605 7.96000003814697 7.75 7.46999979019165 7.36999988555908 7.44999980926514 7.42999982833862 7.07999992370605 7.23000001907349 6.96000003814697
United States USA Child employment in agriculture, female (% of female economically active children ages 7-14) SL.AGR.0714.FE.ZS
United States USA Multidimensional poverty headcount ratio, children (% of population ages 0-17) SI.POV.MDIM.17
United States USA Domestic private health expenditure per capita (current US$) SH.XPD.PVTD.PC.CD 2547.41821289 2695.82714844 2925.86938477 3162.62207031 3341.92138672 3524.86938477 3661.83251953 3843.60302734 3894.87768555 3964.64331055 4073.08666992 4173.13623047 4321.23144531 4388.68896484 4493.27587891 4679.18115234 4900.68066406 5078.86181641 5268.0625
United States USA Newborns protected against tetanus (%) SH.VAC.TTNS.ZS
United States USA Tuberculosis treatment success rate (% of new cases) SH.TBS.CURE.ZS 83 83 83 83 84 83 84 85 86 62 66 80 84 83 85 83 80 77 79
United States USA People using safely managed sanitation services, urban (% of urban population) SH.STA.SMSS.UR.ZS 94.51643169566 94.5844536526787 94.6524756096973 94.7204975667159 94.7885195237345 94.8565414807531 94.9245634377718 94.9925853947904 95.060607351809 95.1286293088276 95.1966512658462 95.2646732228649 95.3326951798835 95.4007171369021 95.4687390939207 95.4687390939207 95.4687390939207 95.4687390939207
United States USA Prevalence of underweight, weight for age, male (% of children under 5) SH.STA.MALN.MA.ZS
United States USA Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population) SH.STA.AIRP.MA.P5 17
United States USA Physicians (per 1,000 people) SH.MED.PHYS.ZS 1.1 1.2 1.2 1.3 1.3 1.3 1.4 1.4 1.5 1.5 1.6 1.6 1.7 1.8 1.8 1.8 1.8 1.9 1.9 1.9 2.4385 2 2.1 2.1 2.2 2.5942 2.2 2.3 2.7147 2.4356 2.4285 2.4358 2.4412 2.4471 2.4354 2.4641 2.4985 2.5596 2.574 2.5781 2.5881 2.612
United States USA Prevalence of HIV, male (% ages 15-24) SH.HIV.1524.MA.ZS 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
United States USA Mortality rate, under-5 (per 1,000 live births) SH.DYN.MORT 30.1 29.5 28.9 28.3 27.7 27.1 26.4 25.7 24.9 24.1 23.2 22.4 21.5 20.6 19.7 18.8 17.9 17.1 16.3 15.6 15 14.4 13.9 13.4 13 12.7 12.4 12.1 11.9 11.6 11.2 10.9 10.5 10.1 9.8 9.5 9.2 8.9 8.8 8.6 8.4 8.3 8.2 8.1 8.1 8 7.9 7.7 7.6 7.5 7.3 7.2 7.1 7 6.9 6.8 6.7 6.7 6.6 6.5
United States USA Number of deaths ages 5-9 years SH.DTH.0509 3971 3947 3936 3928 3910 3869 3822 3747 3650 3538 3418 3308 3195 3072 2940 2812 2719 2636 2568 2511 2456 2409 2390 2395 2419 2453 2490 2511 2507 2476
United States USA Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day) SG.TIM.UWRK.MA 9.875 9.79167 9.66667 9.58333 9.95833 9.41667 9.75 9.875 9.66667 9.33333 9.70833 9.70833 9.75 9.79167 9.875 9.54167
United States USA Current education expenditure, secondary (% of total expenditure in secondary public institutions) SE.XPD.CSEC.ZS 92.2047805786133 92.2865295410156 91.9320373535156 91.4302597045898 90.9884033203125
United States USA Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS 31.6606597900391 31.9557991027832 32.5007591247559 33.4396896362305 34.9924697875977
United States USA Trained teachers in lower secondary education, female (% of female teachers) SE.SEC.TCAQ.LO.FE.ZS
United States USA Pupil-teacher ratio, lower secondary SE.SEC.ENRL.LO.TC.ZS 14.79886 14.70835 14.54548
United States USA Lower secondary completion rate, male (% of relevant age group) SE.SEC.CMPT.LO.MA.ZS 106.90412902832 100.820587158203
United States USA Trained teachers in primary education, female (% of female teachers) SE.PRM.TCAQ.FE.ZS
United States USA Net intake rate in grade 1, female (% of official school-age population) SE.PRM.NINT.FE.ZS 76.53075 75.61275 72.81169 74.45857 75.42676
United States USA Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) SE.PRM.CUAT.FE.ZS 95 96.6446304321289 98.5998306274414 98.4959030151367 98.6408767700195 98.7320098876953 98.6214904785156 98.7053909301758 98.7037734985352 98.8281402587891 98.8688430786133 98.7663803100586 98.7678298950195 98.8974685668945 98.9852600097656
United States USA School enrollment, primary (gross), gender parity index (GPI) SE.ENR.PRIM.FM.ZS 1.02197003364563 1.01301002502441 0.995130002498627 1.00894999504089 1.01609003543854 1.01294994354248 0.995589971542358 0.994329988956451 0.982110023498535 0.980449974536896 0.99031001329422 0.9896399974823 0.987649977207184 1.0255800485611 1.02755999565125 0.984539985656738 0.998340010643005 1.00918996334076 1.00231003761292 0.995039999485016 0.989250004291534 1.00756001472473 0.996999979019165 1.00167000293732 1.00373005867004 0.990000009536743 1.00404000282288 0.984799981117249 0.991720020771027 0.996640026569366 0.999750018119812 0.998329997062683 0.99234002828598 0.998839974403381
United States USA Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) per_si_allsi.ben_q1_tot
United States USA Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) per_lm_alllm.ben_q1_tot
United States USA Taxes less subsidies on products (current US$) NY.TAX.NIND.CD 319253019000 334927816000 346753049000 366923542000 358121013000 383625131000 405028344000 442347093000 471698368000 511478257000 518022793000 521960279000 471536467000 509119399000 544499516000 572832043000 609931736000 643818276000 662857554000 668279317000 686364081000 742205366000
United States USA GNI, PPP (current international $) NY.GNP.MKTP.PP.CD 5902290000000 6096750000000 6435469000000 6733768000000 7170251000000 7574691000000 8045907000000 8589268000000 9135464000000 9689354000000 10383859000000 10743709000000 11054325000000 11530268000000 12313988000000 13169702000000 14072966000000 14543216000000 14684602000000 14398708000000 15126736000000 15832207000000 16670651000000 17175898000000 18057489000000 18704317000000 19045164000000 19830277000000.1 20837347000000.1 21690012900000
United States USA GDP per capita (constant LCU) NY.GDP.PCAP.KN 19135.2681815327 19253.547329434 20116.2351242269 20701.2699473561 21599.8187054259 22696.678582964 23894.4081538539 24226.5287873383 25137.1602435017 25664.3794275179 25285.2484638043 25789.8436249464 26857.0492481991 28103.7944825373 27697.658322968 27369.554833243 28571.4786525099 29593.5240988199 30902.4404519622 31530.9627068939 31149.6586159093 31628.2169515309 30763.3253634574 31880.6472248837 33893.0029725432 34994.7479573309 35873.4281668909 36784.2334319759 37974.3510116606 38998.9653713855 39288.1354923224 38724.6672082093 39536.5742727492 40092.7581592727 41199.6901636478 41804.8259675978 42880.1279315798 44251.1140883968 45698.3574137044 47323.936227781 48731.9220595971 48733.7002797375 49124.5951636789 50097.7169624658 51521.8350625609 52842.5985438469 53829.6747805194 54320.5290645733 53735.6598815249 51915.3989743292 52807.4100344461 53241.6335099061 54044.8443284712 54663.6865673104 55638.2228673307 56839.3817742317 57357.7768686274 58347.6992617816 59742.8508261172 60745.4107805412
United States USA Gross value added at basic prices (GVA) (constant LCU) NY.GDP.FCST.KN 5686208113000 5793498282000 6105743399000 6455462230000 6412460738000 6303043228000 6597511823000 6898767517000 7218106270000 7385128841000 7324202369000 7484291928000 7430928741000 7604254051000 8149440935000 8442098095000 8657861844000 8974889593000 9435391220000 9642945767000 9773188651000 9718974249000 9929897146000 10136970501000 10534596252000 10881375951000 11304344530000 11864613490000 12373443892000 12963998257000 13502311729000 13616969204000 13845839306000 14221046286000 14739177456000 15269230875000 15701077981000 15949358878000 15903792344000 15525724221000 15872810580000 16088070966000 16415048891000 16663753296000 17071928261000 17561846885000 17841150583000 18257452638000 18771713140000
United States USA Adjusted net national income per capita (annual % growth) NY.ADJ.NNTY.PC.KD.ZG 1.40056369328234 4.38153252126756 4.42159390555904 -5.04553421042282 -1.29385359069659 4.01390146658413 2.95142814514142 3.99878088251049 -1.52753461646904 -3.23792578629677 3.03000102980933 0.172875184883537 2.28815953475583 7.08295933168668 3.31179581122518 2.52197280338702 2.6932108137471 4.83406103967552 1.34888698420185 0.180662240950326 -0.98670031670585 2.07796711383052 0.975336764440698 3.2213326761664 2.12762496184513 3.14906554580874 4.21477992220845 4.66191765104165 2.92917565871917 2.82012606005671 0.442069389558284 0.620549544507227 1.26571630274665 2.7127567113276 2.0983884384743 2.60736501426987 -0.706514851138152 -3.85150037482028 -2.11792223843268 3.49017759382141 1.51583887537208 3.09412563304376 0.642560670618849 2.76734285842311 2.80416776695648 0.140024658875035 1.50598914943703 1.87363999158008
United States USA Adjusted savings: consumption of fixed capital (% of GNI) NY.ADJ.DKAP.GN.ZS 12.7368039893782 12.8061458808497 12.574003894908 12.479397253974 13.3196420485397 14.1586437721477 13.9187838231784 13.9163669693999 13.9240872628149 14.3019552449685 15.0482516145435 15.2170002343177 15.9267768599724 15.5671789443764 14.8400463015595 14.8521115925631 15.1730253402484 15.125356240509 14.9254588946239 14.9732217226774 15.0540214100198 15.2932792091383 14.9211658114725 14.9024736224185 14.722078762129 14.8175153327448 14.6075016732224 14.428765709395 14.3368434796977 14.4378477109686 14.5535948963188 14.8878837800012 14.9984387070287 14.9092864270826 14.7947835625441 14.9663560159756 15.0936509870363 15.4904237759073 16.0633693287852 16.4700622348024 15.8059618170269 15.6293235548128 15.4522763089108 15.61034952096 15.5843418287031 15.5877740079251 15.7011979852594 15.7133562865052 15.7566250713323
United States USA Medium and high-tech Industry (including construction) (% manufacturing value added) NV.MNF.TECH.ZS.UN 48.654045427385 48.9673759515029 48.4789185301149 48.8696416302322 49.1751669346116 49.2224311288176 49.2222550293065 51.7056671276585 51.7860386621392 51.5749360922822 51.0131673321701 49.5700892226411 50.3849002664497 50.4128384698695 50.3938623887726 49.3106240883447 49.4657392664653 50.6101266474912 51.3276787379813 47.4277096836289 48.0715491941262 47.5939085223036 47.7858238225766 47.5014108772606 48.7044168693515 48.3239314140589 47.9489558322261 48.3137532936737 47.4422715307037
United States USA Manufacturing, value added (current US$) NV.IND.MANF.CD 1379886400000 1429598421000 1488256019000 1549834603000 1473245581000 1470447377000 1525789278000 1609792760000 1693860366000 1795086802000 1847304576000 1803162351000 1695072536000 1788954408000 1857682037000 1919702813000 1981753561000 2042339457000 2118871486000 2095858073000 2179910378000 2317176890000
United States USA Imports of goods and services (% of GDP) NE.IMP.GNFS.ZS 5.19517787614495 5.35193372537237 5.80215931389794 6.39543530970074 8.24886441808829 7.28409452407971 8.067953018343 8.76360464323147 9.02577352686406 9.6171251923052 10.2833892192894 9.90813341390602 9.06707929238358 9.04332866084504 10.0333290981577 9.61583358665714 9.88872247567544 10.4776616483513 10.5795771858657 10.4763381889471 10.5603185165409 10.1255430017786 10.2416795967442 10.4974383102923 11.162311746182 11.8141577687958 11.9404364259576 12.3085665651286 12.3106298188105 12.9649624762195 14.3509112638306 13.1599745213201 13.022022958046 13.434030697806 14.7105439982785 15.5440202709345 16.2403265120172 16.4634878920034 17.4007349318961 13.6926857960849 15.7428942052039 17.2587550423633 17.0392649736644 16.4684827830252 16.4279974222036 15.3222402546683 14.6390156390508 15.0112193581537 15.2484919172476 14.5811974361676
United States USA Gross fixed capital formation (constant LCU) NE.GDI.FTOT.KN 962670937000 1030799136000 990565202000 918252708000 992007812000 1094471574000 1211067086000 1280084564000 1225137469000 1248510448000 1186514641000 1272646856000 1463661051000 1566186179000 1615456444000 1644019489000 1682028663000 1731320770000 1729505807000 1658474707000 1726472894000 1814436714000 1925203542000 2024462777000 2179420053000 2335927069000 2553021606000 2765547013000 2942474183000 2930024265000 2880340043000 3002377323000 3182304122000 3375132240000 3465393626000 3445331265000 3300434811000 2887151615000 2951599963000 3086680014000 3298732178000 3416444750000 3591825301000 3722979000000 3791432748000 3925589196000 4113944913000 4207171605000
United States USA Gross national expenditure (current LCU) NE.DAB.TOTL.CN 1069355000000 1164230000000 1282482000000 1421266000000 1546058000000 1668928000000 1875043000000 2104920000000 2376966000000 2649878000000 2870363000000 3219561000000 3363763000000 3685680000000 4140340000000 4452997000000 4711500000000 4999985000000 5345831000000 5728320000000 6040998000000 6186743000000 6555066000000 6923733000000 7379724000000 7729510000000 8169498000000 8679523000000 9225528000000 9886497000000 10627396000000 10949752000000 11361820000000 11961372000000 12832805000000 13757829000000 14585533000000 15170286000000 15435933000000 14845383000000 15505955000000 16122044000000 16765579000000 17275632000000 18034916000000 18764872000000 19257587000000 20098513000000 21221321000000 22043697000000
United States USA Households and NPISHs Final consumption expenditure (constant 2010 US$) NE.CON.PRVT.KD 2954286552252.35 3067108080940.63 3254962123799.57 3416044679983.65 3387428964000.04 3464236800289.77 3657313451043.37 3811887128696.22 3978711968952.72 4073285475813.47 4060569188054.13 4116872283927.57 4177135643385.93 4413606734994.64 4645795996752.46 4886332626483.82 5088046629208.49 5260820476035.23 5480558551988.79 5640350051527.91 5753950617553.79 5764337452028.3 5976469872424.69 6184673613362.16 6424292433803.37 6613841408143.67 6843338495136.68 7101025413954.01 7478167155775.8 7872068711370.36 8272097284626.53 8480460852981.35 8698305888470.54 8974707867559.92 9311430628920.51 9643098265745.42 9938503377673.1 10159387039021.9 10137846773756.5 10010686760523.6 10185836000000 10378059921146.7 10534042371932.3 10687213974820.8 11003570767717.7 11421665524203.6 11737798367573 12046505480694.3 12372842364224.8 12671538762017.1
United States USA Armed forces personnel, total MS.MIL.TOTL.P1 2151600 2240000 2180000 2120000 1920000 1820000 1720000 1635600 1572100 1533300 1594000 1575000 1454800 1420700 1467000 1480000 1473000 1546000 1498000 1555000 1540000 1563996 1569417 1520100 1492200 1433150 1381250 1347300 1348400 1359000 1379800
United States USA Fixed telephone subscriptions (per 100 people) IT.MLT.MAIN.P2 26.3865 26.3865 26.3865 26.3865 26.3865 29.1834 29.1834 29.1834 29.1834 29.1834 32.9521 32.9521 32.9521 32.9521 32.9521 36.7512 37.4523 38.2843 39.2637 40.1448 41.0857 45.5712 45.9834 46.8638 47.2392 48.227 48.7261 50.1073 51.3747 52.6596 53.9878 54.7707 55.777 57.0666 58.5141 60.2115 62.0292 63.9891 65.3583 68.032 68.3371 67.3104 65.8767 63.1206 60.7792 59.3779 56.2401 52.6992 53.6311 49.9083 48.4293 45.9969 44.1324 42.109 40.3218 38.9082 37.5619 36.6074 35.6849 32.6018
United States USA CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) IQ.CPA.TRAN.XQ
United States USA General government final consumption expenditure (annual % growth) NE.CON.GOVT.KD.ZG 0.0848147220105773 0.362414256859552 -0.85646338578286 2.15996010381609 2.44051519523272 0.00131144054836341 1.77619243829987 1.77891004972588 0.765281391444475 1.49813880947589 1.60193925317738 2.33013193906473 3.02474306709723 1.49913846336477 4.80872924938551 4.58852241141479 1.95754731957949 1.98510324563389 3.07529757593386 2.74364657260342 1.74458724635345 0.650199759924817 -0.0553640837061948 0.516573893830355 0.271220930964077 0.449847083318772 1.83775171243479 1.87261624196078 2.7372574985619 1.53600828678225 3.50593964148062 3.84223677696068 1.83892811459974 1.5437430943535 0.838771845477225 1.2214696014166 1.5995686650284 2.37181392869657 4.13738973044926 0.109780469373248 -3.01836797638209 -1.45847376483276 -1.89639895782756 -0.777509416785307 1.57369620961809 1.75203890278827 0.563487672317933 1.54848057679868 1.7901418042195
United States USA Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) LP.LPI.ITRN.XQ 3.58 3.21 3.56 3.44804 3.650306 3.51
United States USA Rail lines (total route-km) IS.RRS.TOTL.KM 201284 203875 195804 192815 194708 194077 194746 198057 196806 195369 194025 191771 193560.51 192123 191785 194431 194136 153516.6 154321.5 152932.6 151735 151270 150966 150462.2976
United States USA CPIA social protection rating (1=low to 6=high) IQ.CPA.PROT.XQ
United States USA Trademark applications, resident, by count IP.TMK.RSCT 249849 274054 290457 324610 308837 279978 295186 319502 330032 339482 361547 388136 388506 428224 445872 460197
United States USA Investment in energy with private participation (current US$) IE.PPI.ENGY.CD
United States USA Time required to start a business (days) IC.REG.DURS 6.2 5.6 5.6 5.6 5.6 5.6 4.2
United States USA Firms that spend on R&D (% of firms) IC.FRM.RSDV.ZS
United States USA Cost to export, documentary compliance (US$) IC.EXP.CSDC.CD 60 60 60 60 60 60
United States USA Human capital index (HCI), female, upper bound (scale 0-1) HD.HCI.OVRL.UB.FE 0.713329434394836 0.766 0.740411460399628 0.730083882808685
United States USA Interest payments (% of revenue) GC.XPN.INTP.RV.ZS 6.92879517509 6.42781011724194 8.2847057128449 8.41820114528683 9.22651578473606 9.00595190002963 8.22910915332357 9.63325283451353 11.233238074302 12.2649619406368 14.6844347417413 16.3748239759995 17.2040316293574 19.2292627455935 18.7954851956699 17.1726275527027 17.4771704914967 17.2758109980412 18.0851847758004 18.8798827282918 18.7393998130906 17.0468041786848 16.1088353564583 16.3209690684286 16.491179911505 15.2779195513417 14.0898366202199 12.652407820496 11.2058257398329 16.0353731447912 15.8429377255914 15.1650635213995 14.8644330897913 14.7240908729038 14.4540800628907 15.0994045924503 14.8347471061641 15.6179249526153 15.4432321635302 16.3898042343246 15.5166775496282 13.1394954880176 13.2206406754731 12.3395870924784 12.9852200582232 12.4899330393103 14.9950778032214 15.5412212909255
United States USA Customs and other import duties (current LCU) GC.TAX.IMPT.CN 3370000000 3270000000 3450000000 4290000000 6170000000 5380000000 6820000000 7690000000 7430000000 8160000000 8910000000 8720000000 11460000000 12180000000 13420000000 15140000000 16320000000 16450000000 16810000000 16030000000 17480000000 18930000000 20260000000 19440000000 18780000000 18030000000 18410000000 18440000000 20000000000 20636000000 19938000000 21458100000 23282900000 25334900000 26687000000 28793000000 29243100000 23081000000 28603000000 31891000000 33503000000 35468000000 37363100000 38123000000 37534000000 38513100000 53284000000 77751700000
United States USA Net incurrence of liabilities, total (% of GDP) GC.LBL.TOTL.GD.ZS 1.61440376511793 1.26282468625822 0.131370923537592 3.15092135813079 4.41920944245046 2.68178032169835 2.636078685184 1.51560479177752 2.68119596529179 2.64418114885929 4.14978337448924 5.93251914261766 4.31145827992926 4.62182462740659 5.0888379434937 3.05959674288368 3.08262983348605 2.47271154534723 3.68429808168309 4.48853864542298 4.74976178341976 3.61489928132134 2.5566620869696 2.25583327410364 1.59058664045954 0.436021714434917 -0.579952050548702 -0.925481338883048 -2.18896252362961 0.639166901894523 2.94455889455166 4.83555426031577 3.9209310623826 3.48178128714073 2.13883757671651 2.56925291644646 9.29351994891976 10.64701523177 11.3179858082019 7.71819424311238 7.68734231683159 5.20133419016987 4.36375453159137 4.14978362195047 4.71826909924313 3.25275319059473 6.29816344531766 5.56363190496848
United States USA Domestic credit to private sector (% of GDP) FS.AST.PRVT.GD.ZS 70.8748311218007 75.0801169605771 75.5509382864024 80.294379554041 83.1427094888532 86.1370215445283 83.5061680195512 87.0183329458831 87.850587242918 86.7595094305627 87.6766843401341 91.1170788479504 95.7913033840131 94.8388699689857 92.2866785612489 90.4747067249167 89.8846858637993 90.1764515225629 91.6312437392906 92.9454969119286 94.3548659876566 89.2379798449241 92.610926323638 96.109272798397 96.7960678673929 103.684613019629 110.161710524439 112.619055040487 113.690862126055 117.539952502031 114.791425711226 119.177672922602 118.243163763414 120.994532191545 120.183035270976 130.168599500427 137.665711099743 146.57982022752 157.804636024479 171.623313411581 162.598139195576 170.85117198949 162.29577630998 177.372345881028 184.857960868539 188.670068890464 198.297848143348 206.670738733086 185.843025959379 187.861894381554 182.613987361754 175.118170120002 175.67736796787 184.670977269067 184.837837022515 179.663308476979 182.655087731741 190.616610136051 179.553442121599 191.806432143492
United States USA Claims on private sector (annual growth as % of broad money) FM.AST.PRVT.ZG.M3 5.48677503302793 7.62607904853912 8.69659069925905 8.01556864573718 9.03806500180015 5.66484601462012 5.41700316322753 7.31509184525466 6.81139651618536 4.24888570695439 8.30647987486431 12.2810088034023 12.7454519441357 8.11114263224559 2.37597076925214 7.99979824812119 11.5653050763683 11.7802007768273 9.53159771235291 4.79457284202982 5.15651725997489 1.81887049494701 6.52618124946404 10.7330571567795 7.63285762451244 6.46864141044638 4.61033845819525 6.57332256599751 4.1702354751616 -0.541003145254679 -2.84776112796289 -1.08513555205538 1.55247547387059 4.57420035616965 5.9988761307985 5.02983242572995 5.18940313782597 5.30003829910586 4.61420439058408 7.14713969564035 4.08233196572804 2.52718503917339 5.0158961047575 7.50077978810392 7.88587046006489 7.31089768880488 6.78343768794849 1.74361906904276 -7.96155706824551 0.475918604289012 0.243404914707367 1.56277351098626 1.22283256982132 2.96187372991683 3.64743994937429 3.04633726633211 2.59361836373013 2.69536621338814 2.32967239532799
United States USA Automated teller machines (ATMs) (per 100,000 adults) FB.ATM.TOTL.P5 165.78 169.37 167.19 173.84 168.05 173.96
United States USA Aquaculture production (metric tons) ER.FSH.AQUA.MT 104421 102547 109961 122697 123884 132578 114236 127299 131115 116768 168681 165590 173630 170320 167039 218459 183907 174310 158795 138990 168365 230111 261725 268483 326453 323573 372191 383259 357657 369252 315727 363083 413844 416913 391412 413454 393346 438356 445119 479212 456830 480362 498899 545971 607570 513920 519967 526045 501326 481224 496699 397292 420386 429011 421189 426002 444369
United States USA CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.OTHX.ZS 1.90818122034019 1.89197016359167 1.82961343569407 1.70530622566454 1.5453851257464 1.49230618036922 1.36875052872008 1.21612230715775 1.22159615739886 1.15226949037092 1.09925951836787 1.81572681543531 1.67130919220056 1.58079338173367 1.807450556181 1.97222942982386 1.78212416374918 1.48619335783478 1.48758424787481 1.79941033681644 1.29359968487006 1.31190286580295 1.26307749282474 1.45672784690733 1.41407835180271 1.54664185304576 1.50153101221013 1.40511531918936 1.38846143518413 1.33894796945257 1.38096180074754 1.34392411571514 0.978892311508962 0.908307031201093 0.910734121375475 0.902589697191899 0.897360883249391 0.878155262445937 0.804065758322285 0.758684603446629 0.785625168360909 0.848685313836943 0.908984166839781 0.803479904088709 0.984739266500229 0.963475949051869 1.07218217456968 0.981030134403591 0.971765107173572 0.977563883457979 0.95996858080624 0.894824105559692 0.931776397515528 0.971748932526254 0.943933882126111
United States USA Nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.KT.CE 310995.1 318714.1 329145.6 345609.7 342959.2 347215.5 360561 367229.1 373776.3 390503.9 376718.2 373103.6 343160.7 348340.8 362969.7 356602.3 352590.9 356534.1 364104.3 370815.8 331851.9 330323.6 339112.1 343693.9 356292.3 354844.6 366029.4 364436 348182.7 339347.7 325500 319346.5 317486.5 318013.5 321857.5 320397.4 311987.1 311664.7 302405 304609.1 304082.1 296743.5475 288877.995
United States USA CO2 emissions from solid fuel consumption (% of total) EN.ATM.CO2E.SF.ZS 31.7818089559812 30.8338032974293 30.8506185100028 31.6685907488873 32.2492617561532 32.1892306045227 31.8271900573748 31.4960176776021 29.7684768668287 28.7955362764097 27.0056069319604 25.4388932936734 24.6609697045645 25.3982030128132 26.0359691519825 26.1480987702404 27.6487992089055 27.2106771004496 27.9790815370197 28.8855208074618 30.9371435935936 32.8421147944417 33.3998319228991 34.9638230432899 35.4708635557639 36.2380023034271 35.3636930184905 35.8800060381798 35.9803298446115 36.2905666772494 36.9413100959894 36.6306192413687 36.417217266862 36.4013236765422 36.1659551280805 35.8508601474539 36.3710880117073 36.5662109937967 36.5538279371757 36.0915759187869 36.3729984633041 36.422983944162 36.5227746507896 36.2407270293285 36.5634492283856 36.6783142152662 36.7582051202834 36.4665990575689 37.0226429833924 34.9960393514987 35.4314841559766 34.7018936718726 31.9962709452663 31.9610346319425 31.5826223891794 28.3373697002121 26.4351600571625
United States USA Fossil fuel energy consumption (% of total) EG.USE.COMM.FO.ZS 95.5256695527392 95.5667993020266 95.6055139735254 95.7693155916265 95.8016211194505 95.8601615794837 95.9644902619563 95.9821682441868 95.9226132734279 95.8586746434697 95.9187712540164 95.6438071526866 95.3667577934488 94.9771886917797 94.1564542460561 93.0979531123041 93.0056154760703 92.4223027301356 91.7438061244566 91.8029261569988 91.4260719583639 90.8319465466873 90.0431205042659 89.4550670754244 88.9010414433368 88.3016686762272 87.6566326584691 87.37781446172 87.0772387170186 87.0932872393801 86.4378383178815 85.6947378489449 85.5748223295601 86.1179647916857 85.9121290643525 85.4693359772985 85.5100613230784 86.4564944223768 86.0865943299391 85.7846010464005 85.8808305392289 86.3459809106252 86.2490843609645 86.2783854149701 86.1243128703203 86.018535392161 85.626472526822 85.614705182945 84.968221692611 84.1542537153329 84.1505880660269 83.714052768764 83.4371776188128 82.9405096870129 83.0890424221381 82.4278282452692
United States USA Access to electricity (% of population) EG.ELC.ACCS.ZS 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
United States USA Net ODA received per capita (current US$) DT.ODA.ODAT.PC.ZS
United States USA Net official flows from UN agencies, UNFPA (current US$) DT.NFL.UNFP.CD
United States USA PPG, official creditors (NFL, current US$) DT.NFL.OFFT.CD
United States USA Present value of external debt (% of exports of goods, services and primary income) DT.DOD.PVLX.EX.ZS
United States USA Net ODA provided, total (% of GNI) DC.ODA.TOTL.GN.ZS 0.54 0.572 0.583 0.597 0.56 0.578 0.501 0.408 0.436 0.357 0.316 0.287 0.332 0.199 0.255 0.267 0.252 0.242 0.26 0.193 0.269 0.194 0.265 0.243 0.237 0.236 0.227 0.202 0.209 0.15 0.209 0.2 0.196 0.154 0.143 0.102 0.123 0.085 0.1 0.098 0.1 0.113 0.127 0.149 0.169 0.226 0.177 0.156 0.183 0.206 0.203 0.204 0.186 0.182 0.186 0.168 0.186
United States USA Net bilateral aid flows from DAC donors, Japan (current US$) DC.DAC.JPNL.CD
United States USA Net bilateral aid flows from DAC donors, Belgium (current US$) DC.DAC.BELL.CD
United States USA Foreign direct investment, net inflows (BoP, current US$) BX.KLT.DINV.CD.WD 1220000000 770000000 1270000000 1930000000 3540000000 2310000000 2910000000 2920000000 5500000000 8050000000 16740000000 25680000000 21230000000 11500000000 25230000000 9630000000 30946000000 63235000000 56910000000 75780000000 71230000000 34550000000 30310000000 50230000000 55940000000 69080000000 97660000000 122150000000 211150000000 312449000000 349125000000 172496000000 111055000000 117106000000 213641000000 142344000000 298463000000 346613000000 341092000000 161083000000 264039000000 263497000000 250345000000 288131000000 251856000000 511434000000 474388000000 366995000000 261482000000 351631000000
United States USA Net secondary income (BoP, current US$) BN.TRF.CURR.CD -3450000000 -3840000000 -4060000000 -4110000000 -7420000000 -4880000000 -5310000000 -5190000000 -5890000000 -6130000000 -8500000000 -11900000000 -17250000000 -17900000000 -20730000000 -23140000000 -24128000000 -23265000000 -25273000000 -26180000000 -26660000000 9901000000 -36633950000 -39810800000 -40265400000 -38073300000 -43016900000 -45061300000 -53187100000 -40778000000 -46865000000 -56952000000 -52948000000 -55300000000 -71634000000 -76877000000 -69088000000 -89910000000 -96193000000 -100497000000 -98835000000 -103211000000 -90133000000 -85546000000 -83978000000 -101471000000 -110716000000 -109270000000 -120933000000 -139707000000
United States USA Transport services (% of service imports, BoP) BM.GSR.TRAN.ZS 27.5085324232082 28.4521515735389 29.9120234604106 34.049240440021 37.1652816251154 35.7880556802874 37.8161380971497 38.7984075280492 37.898390659514 38.8076179961358 37.5396631681718 37.8119429590018 32.3079937304075 33.6159233321047 30.7278433716933 30.6677773150076 30.5633873100626 29.2743374529112 29.3636870658622 29.9580528728905 30.4750573638141 29.8902953586498 29.0693589400428 29.3194690193987 29.7343603231261 29.8373523796054 28.656178302196 28.6888456370177 28.1454094622418 25.3599873947231 26.4908635806073 25.4780713211252 23.7276157598756 24.2068304126939 24.7600695101598 25.2371709873103 23.5727719555379 22.3358800409895 22.0698918340663 18.5959204104618 20.2529499369916 20.7396947547846 21.150058239692 20.2731974144353 20.3303933350987 20.001366117474 18.0486775711615 17.7140518287255 18.912802520687 18.2644047977184
United States USA Agricultural machinery, tractors per 100 sq. km of arable land AG.LND.TRAC.ZS 259.64679178431 267.08828594822 264.793344248054 268.759201195734 271.186440677966 311.317264733502 312.344186099824 297.790055248619 280.32592843102 279.227488277214 278.250239183587 277.533391985923 276.931301790965 276.449011111588 274.572053713158 272.963233085932 270.702002658776 264.310879182008 258.536197716617 250.377473444412 248.841090302244 248.661891193779 248.768407317658 249.034697627353 248.715149255719 251.910632972066 257.830754487407 244.882256032561 241.624489839872 238.409864495142 235.130119132252 233.86060408518 236.280232889006 238.049126355537 238.898641105593 243.40955051786 246.083438443173 249.725933635777 254.2747251494 256.809965330049 259.297890535918 265.500326633021 265.215400212079 270.056268556652 270.77521727281 276.135825768829 271.17692117618
United States USA Arable land (hectares per person) AG.LND.ARBL.HA.PC 0.98333614602784 0.949377606707481 0.948911975142939 0.927442427653487 0.910948364152895 0.893900081400081 0.878089898949233 0.901816587446315 0.933722129299329 0.920425062910871 0.905995829741743 0.893513930708541 0.882690211364312 0.871959374152459 0.863404221824024 0.85523883780127 0.847043439172898 0.848013118583912 0.838706094065895 0.830696446253713 0.82258373789581 0.810505732440086 0.803128421845059 0.796204812890915 0.789180578672181 0.781920852194409 0.766613424464173 0.759684088687479 0.752478536903561 0.743825689139222 0.733952352152929 0.717621650280297 0.703095964512021 0.691452003982883 0.682891564455193 0.664476565922032 0.651338494885516 0.640853494964728 0.628469036697248 0.621514394417334 0.615505643412982 0.601397249649129 0.588509587567879 0.575522031708593 0.562643860150813 0.549719647346769 0.537062549432337 0.527552394775239 0.518532474374439 0.509878606434248 0.501873054484428 0.493920310419312 0.492267385761138 0.490414092562346 0.488546229722159 0.486747884664406 0.485365596528897 0.48283696045047
United States USA Households and NPISHs Final consumption expenditure (current US$) NE.CON.PRVT.CD 646724000000 699937000000 768153000000 849575000000 930161000000 1030547000000 1147666000000 1273975000000 1422252000000 1585420000000 1750667000000 1933951000000 2071256000000 2281605000000 2492340000000 2712830000000 2886278000000 3076279000000 3330012000000 3576758000000 3808994000000 3943449000000 4197559000000 4451984000000 4720965000000 4962590000000 5244596000000 5536790000000 5877248000000 6279078000000 6762144000000 7065634000000 7342686000000 7723109000000 8212662000000 8747118000000 9260345000000 9706431000000 9976330000000 9842209000000 10185836000000 10641109000000 11006814000000 11317210000000 11822753000000 12297480000000 12769962000000 13340354000000 13993281000000 14544601000000
United States USA Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) LP.LPI.TIME.XQ 4.11 4.19 4.21 4.136495 4.250527 4.08
United States USA Mobile cellular subscriptions IT.CEL.SETS 0 0 0 0 0 0 0 0 0 0 0 0 91600 340213 681825 1230860 2069440 3508940 5283060 7557150 11032800 16009500 24134400 33785700 44043000 55312300 69209300 86047000 109478000 128500000 141800000 160637000 184819000 203700000 229600000 249300000 261300000 274283000 285118000 297404000 304838000 310698000 355500000 382307000 395881000 400206000 404577000 404577000
United States USA CPIA policies for social inclusion/equity cluster average (1=low to 6=high) IQ.CPA.SOCI.XQ
United States USA CPIA debt policy rating (1=low to 6=high) IQ.CPA.DEBT.XQ
United States USA Investment in water and sanitation with private participation (current US$) IE.PPI.WATR.CD
United States USA Start-up procedures to register a business (number) IC.REG.PROC 6 6 6 6 6 6 6
United States USA Time spent dealing with the requirements of government regulations (% of senior management time) IC.GOV.DURS.ZS
United States USA Firms using banks to finance working capital (% of firms) IC.FRM.BKWC.ZS
United States USA Business extent of disclosure index (0=less disclosure to 10=more disclosure) IC.BUS.DISC.XQ 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4 7.4
United States USA Other expense (% of expense) GC.XPN.OTHR.ZS 5.29251160945558 5.55401809473124 1.17599094634585 1.35608912609859 0.986265100115836 0.793665971810515 0.566542419476676 0.496644940955771 0.524553834547469 0.640602866368063 0.801571580940772 7.65041441786597 7.46804248971359 7.63328958059879 7.60789069550059 8.01416211194457 7.3896232975057 7.60939702788455 11.9217285921583 9.98625425916283 7.75372768504559 7.55298852089336 7.30446458249528 6.94540712374198 6.81934259941155 6.56059404040605 6.3380919675048 6.53406292362477 6.16284837618466 5.98331696427386
United States USA Taxes on international trade (% of revenue) GC.TAX.INTT.RV.ZS 1.63635513581748 1.39378535705501 1.29313450039623 1.49504509138292 2.00604385006108 1.47585575395222 1.66838706579927 1.60247226883877 1.39224738037664 1.28792259960299 1.36141053046497 1.33778240372252 1.61487916249025 1.56169056794491 1.65842516432381 1.68714690817964 1.72143324641325 1.58903062443266 1.57418665487639 1.40984737432094 1.54027205704199 1.55529162727941 1.54985155398549 1.38069948005966 1.24572720796324 1.10543349685663 1.09346480879669 1.04080829287495 1.01741843110854 0.999036788333946 1.04847853868869 1.11549736665247 1.13092157754013 1.08321881140562 1.03633478207398 1.06563872667257 1.11693330877155 1.0167672097795 1.15789609191144 1.22857491666158 1.23006531796269 1.11939138537624 1.12496648112884 1.09583334686729 1.07336477092367 1.01068099641503 1.47814316877954 2.07759341116679
United States USA Net lending (+) / net borrowing (-) (current LCU) GC.NLD.TOTL.CN -17290000000 -14400000000 -1560000000 -40420000000 -63780000000 -42760000000 -41000000000 -17500000000 -50560000000 -47750000000 -104970000000 -189160000000 -163390000000 -185610000000 -209330000000 -144140000000 -156120000000 -147900000000 -218640000000 -269130000000 -288430000000 -253530000000 -203390000000 -151170000000 -111480000000 -19820000000 72560000000 123930000000 228970000000 1479899999.99976 -310933900000 -467245400000 -467533500000 -395955600000 -290917700000 -352985100000 -774163400000 -1475310700000 -1503965700000 -1395585300000 -1187252800000 -697334400000 -653204200000 -584379500000 -717010100000 -539950800000 -1000578200000 -1137378700000
United States USA Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) FX.OWN.TOTL.FE.ZS 84.0690536499023 94.7977142333984 92.6862487792969
United States USA Broad money to total reserves ratio FM.LBL.BMNY.IR.ZS 16.5905349446841 18.7496978836718 22.2870774996956 24.9031794489701 27.4009850447702 32.1200554134785 34.861728800369 38.5851606605333 35.0194711595 37.0692607120864 46.0707690140025 53.9352741225101 44.1644756224222 29.7028307982296 19.383843889176 27.5653044661153 29.6864293260465 27.5187318759869 23.5333461575867 12.5254271815457 11.5861431221562 17.9619212732503 17.0720190623709 21.5371831085996 28.455785039387 27.38726890958 25.2648337392702 22.7391191203793 27.2411889253429 24.5361405334073 24.5367932055836 27.0660692780024 29.176488583638 26.3027244128074 26.5753749772564 26.3990893529136 31.1935391011808 40.1425261960038 40.6310245005345 47.6105104436587 54.6992090455507 58.2771667556526 50.1892268207943 44.9216852467976 45.8948860039253 50.1813298058967 46.5767728339338 41.4478522352381 42.3208260587162 32.4926823167333 26.1160240047171 25.3547239619428 24.8838116059455 33.2951838726157 36.1553907972182 42.2177354807487 41.4437138537569 39.0698136766484 40.7689952089237 38.4773476628798
United States USA Borrowers from commercial banks (per 1,000 adults) FB.CBK.BRWR.P3
United States USA Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal) ER.GDP.FWTL.M3.KD 12.8989426397426 17.0114635744288 19.9404591605769 23.5087612562399 27.2671629829559 33.0304122676134 36.2835506616352 39.1627711090728
United States USA Plant species (higher), threatened EN.HPT.THRD.NO 510
United States USA PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) EN.ATM.PM25.MC.M3 9.70166727025227 9.56639220192139 9.52513800350703 9.6098244651228 9.35863641019104 9.74064060739435 9.00316336976139 8.73477721104189 8.22072031896057 8.06392022206544 7.40646408863749 7.40944166188307
United States USA Total greenhouse gas emissions (kt of CO2 equivalent) EN.ATM.GHGT.KT.CE 5400503.5 5440420.62 5704297.25 5912971.38 5756864.1 5539255.42 5868459.65 6048233.1 6054464.7 6135462.9 5896082.8 5830249.4 5534118 5524777.8 5761217.3 5776897.6 5731026.3 5743632.7 6185748 6221391.6 6136093.5 6073643.8 6137498.4 6282704.3 6374979.2 6365296.6 6577713.1 6724414.4 6749016.1 6808137.8 6969123.8 6821235.6 6981786.8 6991255.2 7244271.5 7182808.4 6994086.9 7128951.7 6648991.2 6604068.9516624 6713348.96911148 6571653.97696764 6343840.50774614
United States USA Electric power consumption (kWh per capita) EG.USE.ELEC.KH.PC 4049.786628734 4182.17550124938 4433.60602129325 4690.48625569377 4970.44645602406 5234.68500229024 5590.33374033374 5888.34091549579 6385.45932857015 6904.83379959245 7236.65704309151 7517.30464555213 8076.40926935244 8573.19415409445 8449.92845586241 8522.39400295407 8968.7756552847 9337.72401799863 9560.5454096188 9700.69538557242 9862.36549675432 9976.69371497302 9544.46094343532 9742.00571448125 10282.3746422135 10414.2078983205 10424.4272965398 10886.8582560496 11298.3325085174 11531.9323066701 11713.3317042099 12134.1721315039 12014.9582478929 12261.5237824091 12455.1621656545 12659.607628118 12854.2989079193 12889.8322801175 13154.7630268185 13281.8699827982 13671.0520240061 13046.6141478464 13296.1822993023 13307.4920085002 13388.5897105591 13704.5770481407 13583.2669593387 13657.4528282523 13663.4279681827 12913.7146883015 13395.1399317757 13247.0131280108 12966.1159339299 13006.7492006922 12997.4486288777
United States USA Electricity production from hydroelectric sources (% of total) EG.ELC.HYRO.ZS 18.4398990094776 18.2712311420234 18.8808852744802 17.2554153454428 17.1601518179567 17.5241366049109 16.2490883349779 17.4478866751123 15.9292412617221 16.5308085169344 15.4246805974046 15.4688912632531 14.6392243784672 13.5020495963132 15.5350514858213 15.0697607350982 13.4026549645292 9.97283706629566 12.2266389575047 11.9754812445676 11.485135870013 10.8037918379138 13.140637918738 13.6972446346323 12.6566418484977 10.8301941051798 11.1281330927021 8.7166249507303 7.2921951461875 8.18958875099668 8.52850291290812 8.85452350156226 7.77750973293255 8.35318677171298 7.61242587265306 8.82751503917239 9.61108049749619 9.0729041288376 7.78274907846069 7.17447009761883 6.28939972204869 4.90388870987027 6.63207993047882 6.87134694026536 6.5359877340842 6.38210849806987 6.82732746184747 5.77298582418942 5.91101041220544 6.61617925790951 6.02306238593337 7.43610219027027 6.52115580755647 6.3179099039587 6.05379847359067 5.84163825956796
United States USA Total debt service (% of exports of goods, services and primary income) DT.TDS.DECT.EX.ZS
United States USA Net official flows from UN agencies, UNTA (current US$) DT.NFL.UNTA.CD
United States USA Commercial banks and other lending (PPG + PNG) (NFL, current US$) DT.NFL.PCBO.CD
United States USA Portfolio investment, bonds (PPG + PNG) (NFL, current US$) DT.NFL.BOND.CD
United States USA External debt stocks (% of GNI) DT.DOD.DECT.GN.ZS
United States USA Net bilateral aid flows from DAC donors, Netherlands (current US$) DC.DAC.NLDL.CD
United States USA Net bilateral aid flows from DAC donors, Switzerland (current US$) DC.DAC.CHEL.CD
United States USA Secondary income receipts (BoP, current US$) BX.TRF.CURR.CD 380000000 400000000 610000000 700000000 720000000 720000000 760000000 700000000 810000000 1140000000 1320000000 1230000000 2040000000 2010000000 2160000000 2500000000 3409000000 3866000000 4629000000 5080000000 10040000000 47850000000 6541600000 6666900000 7986200000 8625900000 10400800000 9891700000 9635800000 34383000000 37544000000 41411000000 53020000000 62030000000 60145000000 65356000000 70309000000 70182000000 84546000000 85155000000 91914000000 101654000000 112065000000 125959000000 140907000000 131505000000 139700000000 157095000000 145011000000 141984000000
United States USA Technical cooperation grants (BoP, current US$) BX.GRT.TECH.CD.WD
United States USA Foreign direct investment, net outflows (% of GDP) BM.KLT.DINV.WD.GD.ZS 0.604675473747861 0.482465553504743 0.573054702097552 0.655265698313989 0.333928061799989 0.81488322183341 0.604245088640406 0.541832026307674 0.611073571642104 0.940877711018089 0.666361717519328 0.315243766685937 0.232490746276156 0.241329342180792 0.317514333344974 0.0848125791804939 0.426322557428754 0.819675338785203 0.414422934063193 0.903647559726176 1.00517445159802 0.800080673854023 0.901335163098415 1.20725067758402 1.23489893836291 1.44062324560663 1.2760862526294 1.41508865502968 1.92831849988377 2.56976045274847 1.81782793658698 1.38011212336093 1.63659602943375 1.70373402834287 3.06216058583438 0.40340915352544 2.05435383953247 3.62507005133555 2.33525889378276 2.16346078606036 2.33342295661738 2.80916018438941 2.32907222841564 2.34018188315691 2.21101945952927 1.65748092647806 1.60200711826903 2.07679007407988 -0.735164360465459 0.879335663236136
United States USA Food production index (2004-2006 = 100) AG.PRD.FOOD.XD 45.45 45.82 48.12 48.91 49.92 50.88 53.68 54.15 54.27 53.52 58.15 57.32 58.8 59.96 64.1 66.02 68.39 67.79 71.47 69.19 75.38 75.2 64.44 73.69 77.88 73.72 73.17 69.02 75.91 77.94 77.15 84.23 76.98 89.19 83.89 87.78 91.18 92.09 93.72 95.96 93.67 94.09 95.66 100.53 99.3 100.18 104.84 107.59 109.89 110.27 109.06 107.97 113.51 117.03 116.61 122.32
United States USA Permanent cropland (% of land area) AG.LND.CROP.ZS 0.205154296994419 0.207010402927843 0.204062469974757 0.204499200782622 0.204499200782622 0.201442085127569 0.198712517578415 0.195982950029261 0.193253382480107 0.192707468970276 0.192161555460445 0.191615641950614 0.191069728440784 0.190632997632919 0.190632997632919 0.190632997632919 0.190087084123088 0.204062469974757 0.204062469974757 0.204062469974757 0.204062469974757 0.222077615799174 0.222077615799174 0.222077615799174 0.222077615799174 0.222077615799174 0.222077615799174 0.222077615799174 0.223824539030632 0.22928367412894 0.22928367412894 0.22928367412894 0.240201944325557 0.240201944325557 0.251120214522173 0.251120214522173 0.272956754915405 0.272956754915405 0.294793295308638 0.29469805455625 0.29469805455625 0.297972477384653 0.297972477384653 0.29469805455625 0.29469805455625 0.283783311794908 0.283783311794908 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631 0.284233149893631
United States USA Military expenditure (current USD) MS.MIL.XPND.CD 47346552670.2126 49879770605.0578 54650942605.0773 54561215775.4246 53432327058.1665 54561791263.2266 66442751527.3178 78398442240.5239 84329031218.2481 84990165430.7737 83407993004.8882 78237979893.08 80708070966.4935 81469794407.5887 89278920339.82 92080928753.6472 94715251079.7143 104665218971.628 113382063749.093 126879927116.756 143688354872.676 176558875270.821 221673542584.02 223427165005.73 245149168288.537 272163229313.057 295546223803.599 304086648682.908 309661269300.954 321866558808.32 325129313986.031 299372779114.591 325033735954.804 316719443747.423 308084000000 295853097724.661 287960668678.94 293167825790.971 290996055088.378 298094891322.404 320086324211.196 331805610572.137 378463138753.841 440532069586.192 492999376159.397 533203000000 558335000000 589586000000 656756000000 705917000000 738005000000 752288000000 725205000000 679229000000 647789000000 633829639000 639856443000 646752927000 682491400000 731751400000
United States USA Fixed broadband subscriptions (per 100 people) IT.NET.BBND.P2 0.256527 0.988801 2.50962 4.49489 6.92063 9.5731 12.7764 17.3415 20.2304 23.853 25.4147 26.1149 27.3524 28.3445 29.4589 30.3514 30.6929 31.8538 32.7312 33.9951 35.6063 34.6719
United States USA Statistical Capacity score (Overall average) IQ.SCI.OVRL
United States USA CPIA fiscal policy rating (1=low to 6=high) IQ.CPA.FISP.XQ
United States USA Industrial design applications, nonresident, by count IP.IDS.NRCT 2055 2059 2238 2415 2877 3170 3227 3668 3701 4198 3281 3589 4079 3596 3876 4578 4637 5256 5713 6299 6757 7135 7903 8888 10068 11026 11277 12271 12319 11023 12353 13024 13987 15763 15058 18187 21015 22451 24324 26860
United States USA Labor tax and contributions (% of commercial profits) IC.TAX.LABR.CP.ZS 9.7 9.7 9.8 9.8 9.8 9.8 9.8
United States USA Time to resolve insolvency (years) IC.ISV.DURS 1 1 1 1 1 1 1
United States USA Losses due to theft and vandalism (% of annual sales of affected firms) IC.FRM.CRIM.ZS
United States USA Private credit bureau coverage (% of adults) IC.CRD.PRVT.ZS 100 100 100 100 100 100 100
United States USA Primary government expenditures as a proportion of original approved budget (%) GF.XPD.BUDG.ZS
United States USA Taxes on income, profits and capital gains (current LCU) GC.TAX.YPKG.CN 126960000000 139470000000 157640000000 163080000000 173070000000 211690000000 241030000000 283590000000 308740000000 346780000000 347420000000 326080000000 355530000000 396100000000 412310000000 476720000000 495650000000 549320000000 560570000000 566130000000 576940000000 627410000000 683680000000 747430000000 828530000000 920250000000 1017270000000 1064250000000 1212030000000 1141539700000 966360000000 963656700000 1045333100000 1268411800000 1435528000000 1513031800000 1395528400000 1032281500000 1176818000000 1369780200000 1457785700000 1619408300000 1763762300000 1883845200000 1883866800000 1884565700000 1854324400000 1957991000000
United States USA Social contributions (% of revenue) GC.REV.SOCL.ZS 23.6009163588761 24.9774534721653 26.1976802824004 28.1075335184995 28.2742879187295 27.8769761116049 28.2617567275608 27.7188817485981 28.2241518282406 27.9951233998656 29.8524885917436 31.3123737219127 32.6859895311282 32.9041632446775 33.9157058330397 32.8185794992416 34.2333544573382 33.907601165735 35.3330754209499 34.5313443131844 36.2093731611921 34.9904258671256 35.0693374422188 34.1453045066143 33.667313712803 32.7420875340006 32.1606642033566 32.4272405196168 31.2574078112703 35.0147967437481 38.8841028924609 39.6788330760427 39.2945764395621 36.4878363047466 35.1702985760231 35.0597842830113 37.2206869412369 41.8787299489022 39.3037369969965 34.7952787989791 34.4372395179824 34.4572326245085 34.3259435550941 34.2286188967109 35.0201370998006 33.6867921554479 37.30066989424 37.4687582876462
United States USA Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) FX.OWN.TOTL.YG.ZS 76.1346130371094 87.5635147094727 86.9444198608398
United States USA Deposit interest rate (%) FR.INR.DPST
United States USA Total reserves (% of total external debt) FI.RES.TOTL.DT.ZS
United States USA Annual freshwater withdrawals, total (billion cubic meters) ER.H2O.FWTL.K3 517.6 465.1 473.5 478.6 418.7
United States USA Population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.ZS 2.574566261 2.5023639 2.512555129
United States USA SF6 gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.SF6G.KT.CE 42182.5 45930.1 41952.9 42528.6 41202
United States USA Methane emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.METH.EG.KT.CE 0 266715.66023592 243870.59871741 247196.288138627 245506.013936781 233910.522477511 231417.067385447 232264.589077382 225615.549407679 223155.757568288 241406.973890155 239907.455963851 232651.42021942 231416.171474415 219807.543410113 234132.459510755 229621.831589043 229016.050245926 235326.585693662 240149.498709159 245754.464156634 252381.807161776 247547.370084492 246262.665126678 244026.902648844 244131.968227636 241933.464765146 243244.314879726 245864.233893175 244291.827302571 237724.610771352 235274.846679298 236882.870128232 233343.872748084 229793.051934044 224175.715260953 213074.620575724 214471.150318645 216024.765607485 219505.404392725
United States USA CO2 emissions (kg per 2010 US$ of GDP) EN.ATM.CO2E.KD.GD 0.911010835333048 0.88738928825973 0.867352298026975 0.867515234917852 0.855909194994309 0.837761054247988 0.826288559660512 0.836424184581439 0.827408399539228 0.843038984554995 0.90968467279323 0.886349684646119 0.882303406743983 0.872701801879415 0.845860418130346 0.812182984743033 0.806822699546028 0.792759682859971 0.774712882430961 0.752616031997958 0.727062808314259 0.680933936740222 0.658418140314798 0.63469486203744 0.61003661157759 0.587890475255241 0.568582956143748 0.573153399504217 0.574129428271102 0.560871314369925 0.535860382936593 0.536156871627514 0.527441424985301 0.525767414146128 0.512006554787473 0.502396829606502 0.495375019349856 0.48481229472664 0.466809045739964 0.454180018132314 0.451154025949662 0.439014549434372 0.435008856398942 0.425486854726567 0.415719422670719 0.403957959227283 0.386474445494455 0.385465928486704 0.374330067816446 0.360087410861931 0.359892819432451 0.346154449375864 0.326459016214497 0.326127579671478 0.321479613067351 0.306506432406714 0.294472839719936
United States USA Renewable electricity output (% of total electricity output) EG.ELC.RNEW.ZS 11.5286468488794 10.7574142290523 9.91611011689915 10.4843256121149 9.74723552434506 10.801084989942 11.5814500482575 10.9778281257659 9.60858498243135 9.06920058095258 8.20599694228722 6.78399231432694 8.6463611778167 8.88937612108964 8.63018553161945 8.57846553445898 9.24463118340514 8.36776393615508 9.00354134718557 10.2918450711157 10.1203551472397 12.2257135163932 12.0073970634651 12.6379191222813 12.9538270902926 13.2285932109672
United States USA Public and publicly guaranteed debt service (% of GNI) DT.TDS.DPPG.GN.ZS
United States USA Net official development assistance and official aid received (constant 2018 US$) DT.ODA.ALLD.KD
United States USA Net financial flows, RDB concessional (NFL, current US$) DT.NFL.RDBC.CD
United States USA Net official flows from UN agencies, ILO (current US$) DT.NFL.ILOG.CD
United States USA External debt stocks, short-term (DOD, current US$) DT.DOD.DSTC.CD
United States USA Net bilateral aid flows from DAC donors, Slovak Republic (current US$) DC.DAC.SVKL.CD
United States USA Net bilateral aid flows from DAC donors, Finland (current US$) DC.DAC.FINL.CD
United States USA Market capitalization of listed domestic companies (current US$) CM.MKT.LCAP.CD 1359797800000 1263560700000 1456865200000 1809034400000 1602159700000 2300857900000 2537942200000 2531767700000 2779940700000 3382233600000 3093448500000 4159595200000 4545844000000 5251079630000 5137739860000 6952026000000 8480497000000 10770143000000 12922580000000 14777387400000 15107751000000 13983666000000 11054430000000 14266265650000 16323726330000 17000864470000 19568972500000 19922279820000 11590277780000 15077285740000 17283451680000 15640707040000 18668333210000 24034853520000 26330589190000 25067539600000 27352200720000 32120702650000 30436313050000
United States USA Exports of goods and services (BoP, current US$) BX.GSR.GNFS.CD 53900000000 56110000000 62730000000 88450000000 119080000000 130420000000 142320000000 151900000000 177525000000 223270300000 271788000000 294295000000 275167000000 266018000000 291047000000 289010000000 310041000000 348872000000 431143000000 487063000000 535258000000 578337000000 616872900000 642854000000 703254000000 794397000000 851628000000 934459000000 933183000000 976521000000 1082962000000 1015364000000 986095000000 1028180000000 1168121000000 1291506000000 1463991000000 1660811000000 1849584000000 1592788000000 1872324000000 2143556000000 2247453000000 2313239000000 2392265000000 2279748000000 2237922000000 2387392000000 2539382000000 2528267000000
United States USA Net financial account (BoP, current US$) BN.FIN.TOTL.CD 2070000000 -12728000000 -7879000000 3373900000 -3386000000 22518000000 14210000000 -17790000000 -4584000000.0039 26184999999.9981 24997000000 28578999999.9998 27545000000 -25930000000 -80066000000 -104675000000 -116599000000 -167803000000 -138265000000 -47398000000 -58059000000 -43817000000 -93931000000 -79254000000 -124248000000 -82819800000 -134507600000 -218937900000 -66954000000 -238602000000 -478394000000 -402032000000 -502668000000 -540555000000 -542221000000 -714059000000 -825564000000 -632838000000 -747057000000 -239381000000 -446385000000 -525969000000 -448034000000 -400091000000 -297075000000 -333144000000 -363631000000 -334098000000 -419728000000 -395546000000
United States USA Communications, computer, etc. (% of service imports, BoP) BM.GSR.CMCP.ZS 43.9590443686007 41.8754014129737 39.0029325513196 35.7255107386066 34.2105263157895 33.8572070049394 32.517061421116 31.9218241042345 32.8494793310192 32.7629036709909 34.9524041981938 33.6898395721925 40.3800940438871 38.9421304828603 31.983261096996 31.3758156323754 31.5414556251403 32.0203555614302 33.115651777113 33.9771729587357 33.4239823234469 35.2742616033755 33.4293027301927 32.1790241655961 31.3705053541236 31.9913018881267 33.340478531629 33.3208800081951 33.1123115411012 34.900352236166 32.9866156095397 33.8171844459057 36.6962339225369 36.2618985345285 35.4629135768483 35.260167444959 36.6128399712593 36.5952810242175 38.479733745394 41.5077256030682 40.4541184557223 43.0125996040935 42.6812830193501 43.7605325696572 43.0690729839285 43.2408324477008 43.417353813936 43.5305864365778 17.1475388253044 16.5042669236509
United States USA Land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.ZS 1.167679223 1.167679223 1.167679223
United States USA Industrial design applications, resident, by count IP.IDS.RSCT 5775 5316 5936 5667 5862 6381 6685 7485 7588 8417 8007 9472 8999 10039 11898 10831 10524 11290 11394 11462 11536 11145 13001 13714 13913 14527 14239 15481 15463 14783 16706 17443 18812 20271 20320 22785 24405 23618 22825 22988
United States USA Average number of visits or required meetings with tax officials (for affected firms) IC.TAX.METG
United States USA Strength of legal rights index (0=weak to 12=strong) IC.LGL.CRED.XQ 11 11 11 11 11 11 11
United States USA Time required to obtain an operating license (days) IC.FRM.DURS
United States USA Public credit registry coverage (% of adults) IC.CRD.PUBL.ZS 0 0 0 0 0 0 0
United States USA Human capital index (HCI) (scale 0-1) HD.HCI.OVRL 0.691508173942566 0.762 0.713683247566223 0.701764345169067
United States USA Taxes on income, profits and capital gains (% of revenue) GC.TAX.YPKG.RV.ZS 59.3576137266819 57.1738952201361 56.7826525466465 55.9201728217262 55.6387835144345 57.0116614149902 57.8606236646902 58.0389668863329 56.5582179233531 54.2021600837775 52.6705174269644 49.9112226780138 49.4946541931173 50.0473813885906 50.0941596705019 52.3971774636741 51.4923589972677 52.4886531938273 51.634980288125 48.8169354143313 49.9238517185283 50.691195837474 51.3871246570709 52.0937007764257 54.1512257929583 55.2566635242973 56.6080888572319 55.8588111796352 57.4623327612528 55.264593702447 50.8179215892869 50.0956054453568 50.7750219477348 54.2322062596997 55.7457787327575 55.9978217194145 53.3018781625981 45.4741987115809 47.6395120473739 52.769671539296 53.5227182817049 51.109498715089 53.1051617285157 54.1505230568389 53.8731884753213 49.4557628309743 51.4405251963296 52.3192316145354
United States USA Revenue, excluding grants (current LCU) GC.REV.XGRT.CN 213890000000 243940000000 277620000000 291630000000 311050000000 371310000000 416570000000 488620000000 545880000000 639790000000 659610000000 653320000000 718320000000 791450000000 823070000000 909820000000 962570000000 1046550000000 1085640000000 1116550000000 1150730000000 1237670000000 1330450000000 1434780000000 1530030000000 1665410000000 1797040000000 1905250000000 2109250000000 2065048300000 1901110300000 1922973600000 2058207600000 2338163300000 2574063100000 2700890600000 2617035900000 2269080800000 2469438700000 2594836000000 2722784800000 3167539500000 3320143700000 3478221500000 3496031700000 3809809900000 3604072600000 3741110300000
United States USA Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) FX.OWN.TOTL.ZS 87.9578628540039 93.5838012695313 93.122184753418
United States USA Lending interest rate (%) FR.INR.LEND 4.82083333333333 4.5 4.5 4.5 4.5 4.535 5.625 5.63333333333333 6.3125 7.95166666666667 7.91 5.72333333333333 5.24833333333333 8.02166666666667 10.7983333333333 7.8625 6.84 6.82416666666667 9.05666666666667 12.6658333333333 15.2658333333333 18.87 14.8608333333333 10.7941666666667 12.0425 9.93333333333333 8.3325 8.20333333333333 9.315 10.8733333333333 10.0091666666667 8.46333333333333 6.25166666666667 6 7.13833333333333 8.82916666666667 8.27083333333333 8.44166666666667 8.35416666666667 7.99416666666667 9.23333333333333 6.92166666666667 4.675 4.1225 4.34 6.18916666666667 7.9575 8.05 5.0875 3.25 3.25 3.25 3.25 3.25 3.25 3.26 3.51166666666667 4.09666666666667 4.90416666666667 5.2825
United States USA Total reserves in months of imports FI.RES.TOTL.MO 3.06878465256798 2.69819403756047 3.13704325572387 4.10435424650425 4.85793321164003 3.89280379667813 3.26200652316508 3.29793754180922 3.6257051487683 6.1033444059575 6.1616545091386 4.08221840248436 4.83733304803977 3.91236503174438 2.65356180238078 2.92483445465779 3.16628101944666 3.26503598836953 2.6062331938462 2.80318917307075 2.73557589265656 2.60169338107099 2.31231476555185 2.39765174502403 2.06391324712795 1.95523553618241 1.66275864603053 1.2572687990174 1.29127119690474 1.07377331452326 0.854272096906953 0.938134144021971 1.11647810305723 1.19878399570069 1.05559111218244 0.903588941772187 0.920734980795975 1.06599499526028 1.07901356702484 1.92028077353965 2.00331890203891 1.96135892377522 2.04662420386995 1.5941759674763 1.48011111349041 1.35007321613717 1.44126220183935 1.48738340426116 1.3576574531279 1.54836796508484
United States USA Annual freshwater withdrawals, total (% of internal resources) ER.H2O.FWTL.ZS 18.3676366217175 16.5046132008517 16.8026969481902 16.9836763662172 14.8580553584102 14.8580553584102
United States USA Population living in slums (% of urban population) EN.POP.SLUM.UR.ZS
United States USA Bird species, threatened EN.BIR.THRD.NO 91
United States USA Energy related methane emissions (% of total) EN.ATM.METH.EG.ZS 44.8823586231366 42.0834416839219 42.1670447551608 41.6596269453603 39.7673776774637 39.23220862154 39.3964602366492 38.6313442657432 38.3768065900621 40.2262492672594 39.4873642655976 38.2439014326655 38.1901969074398 37.1660653021733 38.5314428791315 38.1513366799602 38.2430232658132 38.9033866248408 38.8596452234267 39.53388095115 39.5808591675777 39.460910899886 39.5162124678155 39.5454240372146 39.6798023953704 40.0217475066619 40.6292910010032 41.6950836894366 42.2812615403443 41.8337015511098 42.2693213151957 42.9594023565421 42.3509280329459 41.6856631693026 41.200213055184 39.575817906471 39.6604003407454 39.7838594773231 40.070501241831
United States USA CO2 emissions (kt) EN.ATM.CO2E.KT 2890696.1 2880505.507 2987207.873 3119230.874 3255995.306 3390922.571 3561878.111 3695708.943 3831354.94 4024748.853 4328904.501 4356770.034 4564952.958 4770194.948 4598487.673 4406329.539 4613100.668 4742292.745 4890861.25 4901796.244 4723209.677 4535800.308 4306748.487 4341878.347 4475192.132 4492555.377 4495463.308 4688373.177 4892526.068 4955081.421 4823403.118 4820847.219 4909533.614 5028674.444 5094354.081 5132919.92 5252112.088 5368715.354 5401010.623 5504669.379 5693684.894 5595794.329 5641309.133 5675701.926 5756075.232 5789727.291 5697285.888 5789030.561 5614110.994 5263505.457 5395532.125 5270047.385 5081999.958 5170359.99 5225412.661 5126913.374 5006302.077
United States USA Electricity production from renewable sources, excluding hydroelectric (kWh) EG.ELC.RNWX.KH 122000000 181000000 206000000 286000000 320000000 345000000 383000000 474000000 629000000 799000000 817000000 844000000 1838000000 2748000000 2864000000 3626000000 4097000000 4286000000 3498000000 4628000000 5809000000 6421000000 5122000000 6426000000 8221000000 11382000000 12203000000 13016000000 12718000000 71143000000 96089000000 61937000000 69945000000 72278000000 73690000000 70227000000 71943000000 69953000000 69464000000 73395000000 77160000000 72174000000 81103000000 81824000000 86869000000 93760000000 103340000000 112196000000 134308000000 153106000000 178411000000 207229000000 234311000000 270946000000 298023000000 317421000000
United States USA Public and publicly guaranteed debt service (% of exports of goods, services and primary income) DT.TDS.DPPG.XP.ZS
United States USA Net official aid received (current US$) DT.ODA.OATL.CD
United States USA Net financial flows, RDB nonconcessional (NFL, current US$) DT.NFL.RDBN.CD
United States USA Net financial flows, IMF concessional (NFL, current US$) DT.NFL.IMFC.CD
United States USA Short-term debt (% of total reserves) DT.DOD.DSTC.IR.ZS
United States USA Net bilateral aid flows from DAC donors, Slovenia (current US$) DC.DAC.SVNL.CD
United States USA Net bilateral aid flows from DAC donors, France (current US$) DC.DAC.FRAL.CD
United States USA Market capitalization of listed domestic companies (% of GDP) CM.MKT.LCAP.GD.ZS 47.5901889436452 39.3995682002294 43.5692922011526 49.7802829799798 39.6808634210361 53.0276339203301 55.4180500568714 52.1453262110947 53.0883913836085 59.9518858192208 51.8761327916951 67.5464122300783 69.7180371475234 76.562432866729 70.5032725713837 90.9980943091193 105.046065202533 125.561930897573 142.588979630511 153.440999395776 147.358973154477 132.148006214899 101.07906386375 124.50656315137 133.650633099306 130.408327376232 141.654165387297 137.852717039471 78.7765962435791 104.348782805712 115.284090809481 100.63133616832 115.257916525873 143.193741208755 150.227325129116 137.547029541841 146.151527621244 164.558228498952 147.891529420942
United States USA Insurance and financial services (% of service exports, BoP) BX.GSR.INSF.ZS 0.698689956331878 0.78125 1.19850187265918 0.938967136150235 0.770341839191141 0.900128589798543 0.725163161711385 0.578964297201673 0.648801128349788 3.47657688514163 3.19663512092534 3.84279475982533 3.75058602906704 4.17315478044223 3.97952583176308 4.03595419534018 5.40490663098767 5.37390281972796 4.21764414191047 4.0427874783703 3.1448667658596 3.34226226713746 2.84808501827164 3.22358547907332 3.39479527932334 3.77703667544128 4.12500260943991 4.83183843369401 5.45312006454387 10.4497530548891 11.0135794888314 10.8867631578021 11.9135316029008 13.258098644768 14.5354490228916 14.5237654891807 15.5921018421787 17.117649669732 17.268995358642 16.9272936771951 17.4154919293182 17.9549505249981 17.7267961601701 17.450811709294 18.000348882387 16.9729230248645 16.7849199516225 17.6132121369769 17.4303597269118 17.3477729696402
United States USA Net primary income (BoP, current US$) BN.GSR.FCTY.CD 6680000000 7900000000 8920000000 12830000000 15520000000 12790000000 15970000000 17730000000 20310000000 30940000000 29580000000 32390000000 29180000000 30813000000 29999000000 19787000000 15481000000 14293000000 18675000000 19800000000 28560000000 24130000000 24236000000 25339000000 17134000000 20899300000 22324800000 12624800000 4280100000 9969000000 14626000000 23246000000 17505000000 29254000000 46580000000 44184000000 15979000000 64356000000 112019000000 115540000000 169911000000 202431000000 197928000000 195517000000 200311000000 185377000000 197021000000 257794000000 251172000000 236344000000
United States USA Primary income payments (BoP, current US$) BM.GSR.FCTY.CD 5070000000 4810000000 5850000000 8950000000 12110000000 12580000000 13320000000 14670000000 22160000000 33430000000 43090000000 54260000000 57140000000 54450000000 74858000000 73944000000 81583000000 93891000000 118037000000 141490000000 143190000000 125110000000 109521000000 110742000000 149383000000 189364700000 203808900000 244195300000 257546100000 292570000000 350983000000 288119000000 288888000000 317679000000 386257000000 492109000000 653940000000 752582000000 708225000000 537682000000 553309000000 589038000000 593754000000 616043000000 645619000000 639725000000 660797000000 739729000000 857297000000 899347000000
United States USA Forest area (sq. km) AG.LND.FRST.K2 3024500 3025585.9375 3026671.875 3027758.125 3028844.0625 3029930 3031015.9375 3032101.875 3033188.125 3034274.0625 3035360 3037801.875 3040244.0625 3042685.9375 3045128.125 3047570 3055495.9375 3063421.875 3071348.125 3079274.0625 3087200 3089950 3092700 3095450 3098200 3100950 3103700
United States USA Travel services (% of commercial service exports) TX.VAL.TRVL.ZS.WT 24.2203742203742 24.0494296577947 24.2476354256234 24.2897727272727 23.8067177371833 24.9601699415826 26.5249537892791 26.5631737818025 26.7212504652028 26.5397955429495 27.7879821569142 32.9204693611473 29.4591937069813 26.9984326018809 33.4922368987321 33.1264863843258 34.2759486234612 34.3753706031641 35.5017301038062 36.7940920938315 37.5335120643432 37.8998795341989 39.7342531307293 40.3162980880666 37.8031604728163 37.3534124318038 37.4149977351032 36.6975407218141 35.3455086782599 33.0438360429687 33.5348101375373 31.3251789067655 28.3961227925024 26.6644267638369 25.7547691789555 25.7429589398937 23.8072128062595 22.5217330858981 22.4319827642389 22.0660663053873 23.1533220215516 22.8172702459407 23.2272580484522 24.5071157366067 24.45889325489 25.7393642469777 25.3187721447035 23.9162997986339 23.3751029168907 22.6560018751282
United States USA Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) TX.VAL.MRCH.OR.ZS 28.8483077672267 28.4173863256835 29.1543301258327 28.4339419978518 28.3831747470171 26.7399213875535 26.757311441765 25.4868288478965 24.7374481405831 22.7358937885254 23.0385850602053 23.2158957560271 22.4403513174404 22.2593999330801 26.18874476788 28.0431774919913 25.2005560140741 24.332580677061 24.9497962646196 23.3122236563865 26.4232525926496 27.1976861511099 25.54459826493 21.987008519739 22.5142891219185 22.6909043156897 21.1702832227976 20.476640577727 20.812512339044 20.322019496845 20.2712460820435 21.738095012192 24.7979383517995 25.5643888052344 26.1010099432456 25.1110851924716 26.2164384529649 28.1424610046953 28.6614246122829 27.7284222625302 29.3288454141504 30.2521798130299 30.6684409055831 30.7147771735526 31.4458462842265 31.7404247225503 32.9188420331922 33.3355150556038 34.7374088545673 36.0671012669007 37.889329857768 38.8085853046921 39.2333628370423 40.1709883639439 40.2502525907756 39.3980894205653 39.3240752259063 39.9999157598618 39.6276699811926 38.7033142701326
United States USA Transport services (% of commercial service imports) TM.VAL.TRAN.ZS.WT 44.4812362030905 44.3 44.4250871080139 47.7590007347539 51.4376996805112 48.5383678440926 50.1597444089457 52.4205378973105 51.6559139784946 52.6986506746627 53.2364139840775 52.998126171143 44.4115270670617 46.0722404647638 38.8878380934367 38.6323889471843 37.7122361959885 35.8079249808006 35.5601675037762 35.8719775727135 36.3802373947449 35.2859135285914 33.4655791693549 33.0518971892817 32.7644740328564 32.6502975384401 31.3798821325255 31.3273148391851 30.6040526958793 27.3345349557062 28.353834303072 27.3665318601366 25.8721500424983 26.706540225513 27.2234392321109 27.6702438476233 25.5754293008507 24.1030335606544 23.6968119049442 20.1515099140877 21.8531978540879 22.2599883812451 22.4839841539332 21.4394849220277 21.3861301278137 20.9056548306491 18.8400802616661 18.461091153933 19.7188245463685 19.0439143687531
United States USA Merchandise imports from economies in the Arab World (% of total merchandise imports) TM.VAL.MRCH.AL.ZS 1.76244689469225 1.76000406643539 1.48947948113611 1.32245617663225 1.24013248001594 1.21765468360618 1.03136280530683 0.702650243666582 0.927620173476285 0.846334330705791 0.656789834280026 1.0290687297279 1.22166607681548 1.95359718718619 3.67660548375671 7.11920467038174 10.368314375605 11.9522441271246 9.4287572285401 11.4694760318167 13.5412711996266 10.7691632565743 5.74548207540139 3.4296214790363 2.94460188558149 1.73264137536324 1.98071900743186 2.34438772502741 2.54365093174186 3.04265860990447 3.86784497131606 3.17193417851751 2.78872184260814 2.42905472636816 2.03604202146332 1.87018534945609 1.95492794486982 2.01340138620449 1.53220146650817 1.84754120250267 2.47714920250353 2.61751273121669 2.29184720685956 2.88693107384453 3.26522973247589 3.68407898458288 4.04233534806169 4.19521758311482 5.58804518949764 3.62208696845164 3.87529723797329 4.50157609216694 4.9115407297904 4.19942870065289 3.75852198587542 2.00192493433438 1.86070407321463 2.1589930166434 2.34525093116454 1.66981262744156
United States USA Binding coverage, primary products (%) TM.TAX.TCOM.BC.ZS 99.91 99.91 99.91 99.91 99.91 99.91 99.91 99.92 99.92 99.92 99.92 99.92 99.91 99.91 99.91 99.91 99.91 99.92 99.92 99.92 99.92 99.92 99.92 99.92 99.85
United States USA Binding coverage, manufactured products (%) TM.TAX.MANF.BC.ZS 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
United States USA Urban population growth (annual %) SP.URB.GROW 2.20057087771013 2.07649430194512 1.97055936295003 1.91343710832917 1.76765328716456 1.66555870446276 1.59282042208749 1.49576263761729 1.46799272604928 1.531151622153 1.27927789350898 1.08410628926962 0.968058589105531 0.927239982306409 0.999564503181063 0.963796080842526 1.01934615261149 1.07178895113162 1.1171475381994 1.02199247812023 1.18733797133269 1.15881776860062 1.11945662708531 1.06778620152612 1.08769078654837 1.12532022077028 1.09324426439828 1.10701747375615 1.14036493918274 1.41025628541903 1.86738439894312 1.90863299657144 1.83118227604993 1.7309822295661 1.68646666337335 1.65278297800739 1.68197526681483 1.63762765741403 1.61295677155673 1.51201139138713 1.21338042170418 1.14841884658312 1.07836038438036 1.14388530085121 1.13588459113456 1.17796815968651 1.16306776101756 1.15618567133535 1.08529029428822 1.03357412063368 0.932736350679415 0.943234600380991 0.908423329547718 0.953587018384507 0.961098538767768 0.950261502244321 0.870149208464894 0.763339371824656 0.720439853390911
United States USA Researchers in R&D (per million people) SP.POP.SCIE.RD.P6 3140.92456 3243.38158 3408.37276 3465.72038 3496.36797 3567.42616 3652.18425 3894.90127 3789.08962 3742.51961 3806.33035 3781.17475 3935.49275 4090.2744 3885.08226 4027.11889 3990.62379 4090.88439 4205.25602 4267.83919 4247.7483 4412.43542
United States USA Population ages 65 and above, female (% of female population) SP.POP.65UP.FE.ZS 10.0150676200208 10.1375509124995 10.2600585737503 10.3872871102818 10.5218025592688 10.6635512728409 10.8234374931158 10.991080558678 11.1686001158299 11.3534471948398 11.5398910446105 11.7345659010229 11.9255757331757 12.1252159369671 12.333870855264 12.5424029068155 12.7158745363564 12.8860673350943 13.0609420003583 13.2423831138853 13.4279352450829 13.5766772100839 13.7145355349805 13.8527895279535 14.00056815972 14.1584075838779 14.2752220468044 14.3914994692693 14.507218457864 14.616875991811 14.7160304229207 14.7460170361803 14.7574386100966 14.7544851254802 14.7367762161154 14.7026072764985 14.6202739905164 14.5269507602406 14.4280892303081 14.3295835560001 14.2389625537654 14.1619631472268 14.0810421541579 14.0114483098032 13.9694472553522 13.9640008258835 13.9976400552086 14.0637743097106 14.1711219540691 14.3281757892889 14.5400605633385 14.7926313013218 15.0915346277833 15.4265918014393 15.7850664815396 16.1613409295653 16.5460883880156 16.9289163187058 17.3183560235252 17.7261657697371
United States USA Population ages 30-34, male (% of male population) SP.POP.3034.MA.5Y 6.68399066303773 6.49512639745965 6.32372028157221 6.17340025360174 6.04637222325253 5.94583541680916 5.85237923921162 5.79352156812662 5.77909532703961 5.81473046524553 5.89966703009915 5.99104459766684 6.12154660950825 6.2894359992025 6.48859506380373 6.7165419021599 6.85390425812445 7.03970806864609 7.28335243989042 7.55628045362827 7.81571429432214 8.01715243498177 8.17956348825628 8.32494101622106 8.47494499279759 8.6316113916244 8.74505319810705 8.84782228010565 8.93814497644662 9.00047608902699 9.01742723007218 8.99367114716856 8.94818266321001 8.88800955298741 8.80763124132086 8.69076916403655 8.47404768319931 8.23544380329459 7.99441845967807 7.77250735440189 7.57940590878796 7.38529363521008 7.20693078161748 7.04965861853806 6.91403611668686 6.79570818825316 6.68177263424604 6.59487772436177 6.53933412870284 6.51423635992653 6.51140603250449 6.5267631168852 6.56665729856786 6.62504638094968 6.69465884782259 6.77049171310615 6.84591683621329 6.92069058560543 6.99502752544046 7.07015271531781
United States USA Population ages 05-09, male (% of male population) SP.POP.0509.MA.5Y 10.6414268064108 10.6720172096038 10.7214932841233 10.7787973391355 10.8138145111275 10.787300478027 10.7274752326623 10.6166754724922 10.4569941642116 10.2622201017337 10.0549715254365 9.78982425523343 9.47147395789648 9.1123577658242 8.74479989273283 8.4118861996372 8.22230975851838 8.07281225029032 7.95587864371795 7.8494694295628 7.72323264485804 7.59646879864759 7.5029433171507 7.4393204806055 7.3963039622983 7.3599626507564 7.35349203162033 7.36381468690012 7.388504133009 7.42187826547156 7.45608679958041 7.52829137564371 7.59145238365189 7.64045433839286 7.67071526186212 7.67756362074202 7.71360078600256 7.74101148415199 7.75257421102223 7.7385962692002 7.69053608697531 7.62072900486849 7.49149585976431 7.3121222347567 7.11423323741463 6.94138778953884 6.87685881519938 6.86251236471594 6.88688458182171 6.91997562620823 6.92013631266598 6.87753677945894 6.84639863078626 6.82431112042149 6.80171431659891 6.76478389448277 6.71260246929768 6.62288022024342 6.5016497692147 6.36944281341186
United States USA Survival to age 65, female (% of cohort) SP.DYN.TO65.FE.ZS 78.3115746 78.4661878 78.620801 78.7495798 78.8783586 79.0071374 79.1359162 79.264695 79.5330154 79.8013358 80.0696562 80.3379766 80.606297 81.044022 81.481747 81.919472 82.357197 82.794922 83.037859 83.280796 83.523733 83.76667 84.009607 84.1357556 84.2619042 84.3880528 84.5142014 84.64035 84.7970694 84.9537888 85.1105082 85.2672276 85.423947 85.5728894 85.7218318 85.8707742 86.0197166 86.168659 86.2855322 86.4024054 86.5192786 86.6361518 86.753025 86.9143444 87.0756638 87.2369832 87.3983026 87.559622 87.6482302 87.7368384 87.8254466 87.9140548 88.002663 87.8964036 87.7901442 87.6838848 87.5776254 87.471366 87.5426358
United States USA Prevalence of severe food insecurity in the population (%) SN.ITK.SVFI.ZS 1.1 1 0.9 0.8
United States USA Unemployment, female (% of female labor force) (modeled ILO estimate) SL.UEM.TOTL.FE.ZS 6.3600001335144 7 6.57000017166138 6.05000019073486 5.67000007629395 5.46999979019165 5.07999992370605 4.61999988555908 4.34000015258789 4.09999990463257 4.65000009536743 5.6100001335144 5.65999984741211 5.40000009536743 5.09999990463257 4.63000011444092 4.5 5.42000007629395 8.0600004196167 8.60999965667725 8.46000003814697 7.8899998664856 7.07000017166138 6.05999994277954 5.17999982833862 4.78999996185303 4.30999994277954 3.83999991416931 3.60999989509583
United States USA Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.MA.ZS 14.1800003051758 15.2299995422363 14.1999998092651 13.0600004196167 12.3999996185303 12.5299997329712 11.7399997711182 10.8999996185303 10.1800003051758 9.56999969482422 11.2799997329712 12.6999998092651 13.2299995422363 12.5200004577637 12.210000038147 11.0500001907349 11.3699998855591 14.1400003433228 19.8899993896484 20.6200008392334 18.6200008392334 17.8600006103516 16.8999996185303 14.3999996185303 12.6300001144409 11.3100004196167 10.1899995803833 9.39999961853027 9.27999973297119
United States USA Ratio of female to male labor force participation rate (%) (modeled ILO estimate) SL.TLF.CACT.FM.ZS 74.6447072380752 75.0502240387545 75.5484188447672 76.0279538069983 77.613147346283 77.9049457729486 78.2877899187859 78.9431180801872 79.1032754213605 79.3935340570222 79.5417828641324 79.8262236135445 80.0847419625438 80.6540634447259 80.5178628399264 80.709532598109 80.7000592365285 80.927906723628 81.4546493226295 82.1882967845347 82.2603701642437 82.1145230082417 81.6417523127287 81.6270325737313 81.8885046107623 81.6254892024166 81.6921918409222 82.2429861769593 82.3692669350884 82.7525898119603
United States USA Labor force participation rate for ages 15-24, male (%) (national estimate) SL.TLF.ACTI.1524.MA.NE.ZS 71.6999969482422 70.8000030517578 70 69.0999984741211 68.8000030517578 69 69 69.3000030517578 68.3000030517578 68.8000030517578 69.4000015258789 69.5999984741211 71.3000030517578 72.9000015258789 73.6999969482422 72.4000015258789 72.9000015258789 74.0999984741211 74.9000015258789 75 74.4000015258789 73.6999969482422 72.5999984741211 72.5 72.8000030517578 73 73 72.3000030517578 72.4000015258789 73 71.8000030517578 70.4000015258789 70.5 70.1999969482422 70.3499984741211 70.379997253418 69 68.4499969482422 68.3600006103516 68.0299987792969 68.5899963378906 67.0299987792969 65.4899978637695 63.8600006103516 63.5900001525879 62.9500007629395 63.3199996948242 61.5299987792969 61.0200004577637 58.4700012207031 56.75 56.6100006103516 57.6599998474121 56.5900001525879 56.4099998474121 56.1800003051758 56.5200004577637 56.6500015258789 55.9000015258789 56.5999984741211 54.5999984741211
United States USA Children in employment, male (% of male children ages 7-14) SL.TLF.0714.MA.ZS
United States USA Employment in industry, female (% of female employment) (modeled ILO estimate) SL.IND.EMPL.FE.ZS 14.5200004577637 14.3999996185303 14.2600002288818 14.1999998092651 14.0200004577637 13.8100004196167 13.6000003814697 13.3199996948242 13.0200004577637 12.710000038147 11.8900003433228 10.960000038147 10.7600002288818 10.4499998092651 10.25 10.0500001907349 10.0600004196167 9.60000038146973 8.65999984741211 8.46000003814697 8.72000026702881 8.75 8.81999969482422 8.85999965667725 8.82999992370605 8.71000003814697 8.71000003814697 8.77999973297119 8.86999988555908
United States USA Employment to population ratio, 15+, male (%) (modeled ILO estimate) SL.EMP.TOTL.SP.MA.ZS 69.3300018310547 68.8499984741211 69.0899963378906 69.6500015258789 70.0899963378906 70.2600021362305 70.6999969482422 70.9800033569336 71.1500015258789 71.3000030517578 70.129997253418 68.8199996948242 67.9300003051758 68.1500015258789 68.5 68.9499969482422 68.5899963378906 67.3899993896484 63.4700012207031 62.560001373291 62.8300018310547 63.8499984741211 63.7000007629395 64.2300033569336 64.7399978637695 65.1600036621094 65.4700012207031 65.7600021362305 66.0400009155273
United States USA Employment to population ratio, ages 15-24, female (%) (national estimate) SL.EMP.1524.SP.FE.NE.ZS 38.2000007629395 37.9000015258789 38.2999992370605 37.5999984741211 38.2000007629395 39.2000007629395 41.9000015258789 43 43.7999992370605 45.7999992370605 45.7000007629395 44.7000007629395 46.4000015258789 48.7999992370605 49.5999984741211 48.2999992370605 49.5999984741211 51.2000007629395 53.7999992370605 54.7999992370605 53.9000015258789 53.2999992370605 52 52.2000007629395 54.4000015258789 55.4000015258789 56 57.0999984741211 57.5999984741211 57.7000007629395 56.0999984741211 54 53.7000007629395 54.2999992370605 55.3400001525879 55.1300010681152 55.2599983215332 56.0499992370605 57.1599998474121 56.9599990844727 57.3800010681152 56.0400009155273 54.2799987792969 52.4700012207031 52.2200012207031 52.6399993896484 52.25 51.7999992370605 50.1800003051758 47.0099983215332 45.0699996948242 44.9000015258789 45.9000015258789 46.0299987792969 47.060001373291 48.2000007629395 48.7599983215332 49.8800010681152 50.3400001525879 51.0999984741211 45.3199996948242
United States USA Multidimensional poverty index (scale 0-1) SI.POV.MDIM.XQ
United States USA Income share held by highest 10% SI.DST.10TH.10 26 25.3 26.7 27.5 29.6 30.4 30.3 30.1 30.4 29.3 30 30.4
United States USA External health expenditure per capita, PPP (current international $) SH.XPD.EHEX.PP.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) SH.UHC.NOP1.ZS 0.0320853781886399 0.0217369335587137 0.0258094863966107 0.00637247940176167 0.00150176538227242 0.0131972934468649 0 0 0 0 0 0.000851509139465634 0.000851562526804628 0.00490761995024514 0 0.000991090473689837 0.00148487770275096 0
United States USA Suicide mortality rate, male (per 100,000 male population) SH.STA.SUIC.MA.P5 17.9 18.6 20.7 23 23.6
United States USA People practicing open defecation (% of population) SH.STA.ODFC.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA People using at least basic sanitation services (% of population) SH.STA.BASS.ZS 99.966820658955 99.9670080566801 99.9671947000276 99.9673829760681 99.9675685367391 99.9677495673152 99.9679306229826 99.9681158325872 99.9682960512725 99.9684751962871 99.9686484161633 99.9688318574833 99.9690185037399 99.969212956187 99.9694067198877 99.9696072219909 99.9698121431811 99.9700187653163
United States USA Lifetime risk of maternal death (1 in: rate varies by country) SH.MMR.RISK 4400 4100 4000 3900 3900 3800 3700 3700 3600 3500 3500 3400 3400 3400 3300 3100 2900 3000
United States USA Young people (ages 15-24) newly infected with HIV SH.HIV.INCD.YG 3900 3600 3400 3400 3300 3300 3300 3300 3400 3400 3500 3600 3700 3800 3900 4000 4100 4100 4400 4200 4100 4000 4000 3800 3800 3800 3600 3400 3400
United States USA Mortality rate, neonatal (per 1,000 live births) SH.DYN.NMRT 15.9 15.5 15 14.4 13.6 12.8 12.1 11.5 10.9 10.1 9.4 8.8 8.4 8 7.7 7.4 7.2 7 6.7 6.5 6.2 6 5.8 5.6 5.4 5.3 5.1 5 4.9 4.8 4.7 4.7 4.6 4.6 4.6 4.6 4.6 4.5 4.4 4.3 4.2 4.2 4.1 4.1 4 4 4 3.9 3.8 3.8 3.8 3.7
United States USA Cause of death, by injury (% of total) SH.DTH.INJR.ZS 5.84452615114421 6.20237374659824 6.30596510151972 6.55296093578568
United States USA Women who believe a husband is justified in beating his wife (any of five reasons) (%) SG.VAW.REAS.ZS
United States USA Expenditure on secondary education (% of government expenditure on education) SE.XPD.SECO.ZS 35.16779 34.55486
United States USA Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.MS.ZS 11.5664396286011 11.76535987854 11.9948501586914 12.6140098571777 13.0503797531128
United States USA Trained teachers in upper secondary education (% of total teachers) SE.SEC.TCAQ.UP.ZS
United States USA School enrollment, secondary, female (% gross) SE.SEC.ENRR.FE 60.7891387939453 86.4746780395508 92.4902267456055 95.5559234619141 95.3799667358398 96.849250793457 95.2214965820313 96.5470123291016 96.5568237304688 91.5366287231445 92.3362731933594 96.4116821289063 97.489387512207 97.3910980224609 96.5565795898438 98.2826232910156 94.8032684326172 95.9760589599609 94.0230026245117 95.1835021972656 96.1021423339844 95.9484786987305 94.5146331787109 95.5113296508789 94.8736724853516 95.9805068969727 95.4068984985352 96.2157897949219 96.5035781860352 96.3090591430664 97.5130462646484 98.1735763549805 98.4747085571289 98.695556640625 98.7960586547852
United States USA Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.PO.MA.ZS 24.2087593078613 30.7707691192627 35.821418762207 36.1711807250977 36.8098182678223 48.7241592407227 36.9446792602539 36.4735717773438 37.2006912231445 38.0628814697266 38.0480690002441 38.3180809020996 39.3158302307129 40.1651496887207 40.7895698547363 40.8264198303223 41.152271270752 42.3129806518555 43.7934112548828
United States USA Adjusted net enrollment rate, primary, female (% of primary school age children) SE.PRM.TENR.FE 99.73112 97.68334 96.93143 97.00534 97.27516 98.29023 95.00148 99.56904 95.51193
United States USA School enrollment, primary, private (% of total primary) SE.PRM.PRIV.ZS 19.1949901580811 18.1306495666504 17.0529899597168 19.2945098876953 11.4616899490356 10.6698904037476 11.73939037323 11.2454500198364 11.9888696670532 10.441840171814 10.4855003356934 9.8320198059082 11.7502698898315 11.5622100830078 11.5778999328613 11.5756502151489 11.5756502151489 11.5756502151489 10.3325099945068 10.806830406189 10.2878704071045 9.84593963623047 9.99612045288086 9.68216037750244 9.76039028167725 8.89453029632568 8.72191047668457 8.4033203125 8.25259017944336 8.07388973236084 8.29216957092285 8.90025997161865 8.98348999023438 8.78785991668701
United States USA Pupil-teacher ratio, primary SE.PRM.ENRL.TC.ZS 14.53749 14.45723 14.19857
United States USA School enrollment, preprimary (% gross) SE.PRE.ENRR 37.8958206176758 37.7494010925293 42.8341407775879 51.7631912231445 50.616569519043 48.3382186889648 48.2015495300293 48.5948905944824 52.4450492858887 52.711540222168 54.6056518554688 56.6238288879395 57.3140106201172 61.1959190368652 62.044189453125 61.6954307556152 60.4845008850098 60.959789276123 65.0517883300781 69.5888900756836 71.1154403686523 70.5173263549805 70.1041793823242 70.1495895385742 70.9335632324219 71.5239562988281 72.5406265258789 72.0273590087891 71.937370300293 72.93408203125 72.1459197998047
United States USA Coverage of social insurance programs in richest quintile (% of population) per_si_allsi.cov_q5_tot
United States USA Coverage of unemployment benefits and ALMP in richest quintile (% of population) per_lm_alllm.cov_q5_tot
United States USA Terms of trade adjustment (constant LCU) NY.TTF.GNFS.KN 78292217691.1585 73215765012.7041 71826893198.0301 73349062070.1741 30626794107.049 35664453222.3091 38057746174.8971 24815206512.9383 24294629964.0989 10536629830.1764 -34329194018.0514 -27959187322.198 -12558118063.6973 2396014574.58966 9526926262.09863 11124640110.1865 4684824313.51373 -11873448417.9567 -12102349753.1918 -16578341065.9458 -32435365538.3445 -21420441945.5162 -27039624026.0366 -20963275566.1892 -20998606073.1156 -27632272320.114 -25748495860.0925 -9267363504.10498 27112008742.2671 12145617308.7188 -18246814609.1089 5755773152.19043 12065635511.1594 -5827836726.55322 -21258422061.6694 -55586969990.6194 -70346862630.1685 -71838861226.896 -161766264856.193 -60208067714.3689 -91294386504.0703 -120631969208.955 -113175572367.71 -85411800180.2576 -69435752972.6956 0 34975558709.5669 45939343568.1777 59678749185.4448 85879865228.7905
United States USA GNI per capita (constant LCU) NY.GNP.PCAP.KN 25439.6449739912 25961.7566338355 27040.2309622383 28356.1319575775 27977.5433606844 27584.3016276752 28831.2286704643 29882.8772758456 31185.5384533081 31911.3675340309 31517.005623082 31947.9679350396 31097.860978993 32205.3871352225 34194.8854208835 35198.1341540192 36005.5610756434 36915.5392994428 38137.3260606673 39168.8634741812 39514.6002494703 38922.3036356018 39723.8537705532 40273.8484353043 41328.6296485934 41956.6101929181 43042.7848193283 44370.4987198564 45785.8571849142 47448.7795689883 48897.0015892001 48957.3318655403 49327.3890592937 50351.8692372784 51849.5837930426 53155.4347885485 54024.0944230256 54725.9560937724 54289.4808362935 52421.6511280209 53489.678440945 54040.3169907582 54810.4574833617 55408.1478655867 56397.8287684832 57539.9474823041 58028.3549812191 59077.389480724 60523.8160693401
United States USA Gross domestic savings (current LCU) NY.GDS.TOTL.CN 233793000000 255953000000 285459000000 336676000000 349877000000 357632000000 411239000000 466682000000 558577000000 637209000000 652990000000 766050000000 718003000000 757040000000 910545000000 935509000000 955364000000 1002043000000 1085971000000 1183394000000 1205964000000 1209823000000 1274385000000 1333535000000 1458170000000 1535416000000 1655638000000 1820236457000 1917962202000 1999704202000 2052207464000 1978794399000 1948692054000 1988148878000 2148381147000 2326817230000 2480925414000 2546607656000 2384119084000 2176122025000 2296073727000 2389718104000 2674213349000 2935633196000 3138992695000 3319595440000 3284143538000 3436295692000 3695588776000 3893569000000
United States USA GDP (constant 2010 US$) NY.GDP.MKTP.KD 3173064455312.67 3246044937784.85 3444053678989.73 3595592040865.28 3804136379235.47 4047601107506.54 4310695179494.47 4418462558981.83 4630548761812.94 4774095773429.15 4758686862017.69 4915407665248.36 5173903810307.52 5466007905251.38 5436461589211.5 5425291617496.91 5717613882945.58 5982005452007.4 6313127561081.77 6513010666258.7 6496288385251.14 6661145910444.5 6541053812613.5 6840890964615.81 7335940248613.75 7641823717333.56 7906433457818.01 8179962259764.11 8521643077473.06 8834613741240.21 9001231051205.99 8991486399057.48 9308206336157.28 9564446766193.78 9949782934155.2 10216863677305.3 10602294994392.4 11073801989751.8 11570064188534.7 12120016643700.8 12620268392851 12746261681326.2 12968262714693.8 13339312044428.3 13846057985506.4 14332499604847.4 14741688498216 15018267849838.4 14997755929007.8 14617299295193.1 14992052727000 15224554803505.2 15567038144417.2 15853795607253.8 16254258275174.8 16726935659206.4 17000895844117 17403783207186.7 17913248631409.5 18300385513295.6
United States USA Coal rents (% of GDP) NY.GDP.COAL.RT.ZS 0.0915680243239128 0.102152452732489 0.108130948440243 0.120285560334474 0.245988581920099 0.572923091812217 0.580787627064348 0.544784966818142 0.400503949594081 0.411905188174696 0.531280415025586 0.716566351012436 0.739255560996089 0.383024065394535 0.305565821249503 0.304184649680642 0.19788538432111 0.105895353828661 0.139079186815746 0.179850954532583 0.193682529195046 0.174290611464026 0.135931976781799 0.0644665796516135 0.0636826327929373 0.184867905585344 0.194408231192026 0.179858071222137 0.159523254966546 0.125541089161182 0.139839754933242 0.22078507101717 0.155038102739915 0.163142125386259 0.331659714129011 0.26937822142762 0.274302632601458 0.243314297750269 0.685123823569296 0.307105583557749 0.428391528730954 0.556701771804261 0.343823846196426 0.259765950272817 0.214062210851841 0.153342814782204 0.134722194586435 0.180663940646832 0.195515168473993
United States USA Adjusted savings: particulate emission damage (% of GNI) NY.ADJ.DPEM.GN.ZS 0.147655411021888 0.144588497012904 0.141454959427257 0.140076609416085 0.137517291768648 0.13474884978243 0.131414084342576 0.128072909618302 0.122652916953398 0.123096730165906 0.124159982615836 0.129857485306593 0.134777896870492 0.136949567679281 0.132637665708519 0.13336397708277 0.131418586996042 0.131064103389521 0.135646885322033 0.139757729980835 0.131764303738869 0.135209966720505 0.127662654941697 0.124790936622011 0.117893628180574 0.117253505489708 0.114212547516049 0.114358657528207 0.114358657528207
United States USA Services, value added (annual % growth) NV.SRV.TOTL.KD.ZG 4.46760167731965 4.43742529724844 3.75846545204892 2.18226923594649 2.24015323463449 2.56420594646956 3.11899883031582 4.02929971987696 2.58899173549263 1.71710334294983 0.613236700956946 -1.193169035682 2.34305159543705 1.68471305417287 2.21590181469482 1.10785377275637 2.48729673059387 2.97108158904278 1.81574421911172 2.25931283322301 2.78037074525999
United States USA Industry (including construction), value added (current US$) NV.IND.TOTL.CD 1984168572000 2054591437000 2171714180000 2302101247000 2272339446000 2257414776000 2376360408000 2560039729000 2766830195000 2983106998000 3099364312000 3069207780000 2792112324000 2901755514000 3017887579000 3102696338000 3232460043000 3387795668000 3376877500000 3365269049000 3580618111000 3835854000000
United States USA Agriculture, forestry, and fishing, value added per worker (constant 2010 US$) NV.AGR.EMPL.KD 49465.6515733328 51056.8725915525 57742.5760516161 66667.7420334932 68431.2879809231 64043.1804094729 71978.5265355947 75713.8771463573 87038.806693186 82206.1700816445 75179.4783442602 72307.5311063664 83422.4626483335 77618.2628658327 70505.7318208121 69851.5972405401 84146.3998556873 81950.3501316902 81465.2263419011 85987.3305068721 82687.8885248373 84870.6167728586
United States USA Gross capital formation (current LCU) NE.GDI.TOTL.CN 229845000000 255333000000 288831000000 332566000000 350692000000 341656000000 412870000000 489776000000 583944000000 659753000000 666046000000 778569000000 737977000000 808682000000 1013272000000 1049527000000 1087233000000 1146813000000 1195364000000 1270134000000 1283818000000 1238437000000 1309124000000 1398709000000 1550658000000 1625177000000 1752014000000 1922205000000 2080672000000 2255537000000 2427258000000 2346725000000 2374093000000 2491277000000 2767457000000 3048006000000 3251847000000 3265035000000 3107208000000 2572572000000 2809976000000 2969181000000 3242785000000 3426416000000 3646745000000 3859763000000 3826770000000 4015455000000 4336750000000 4504040000000
United States USA Exports of goods and services (constant 2010 US$) NE.EXP.GNFS.KD 187598043100.565 190849343091.475 205725230576.151 244440249575.848 263855634300.802 262166041157.258 273613268379.985 280189613050.06 309764960296.447 340439943180.349 377096645595.233 381692152475.201 352466859116.365 343333721070.806 371324957809.659 383767271560.504 413172725770.216 458326867877.682 532632559634.269 594294306655.579 646722100628.384 689497744136.556 737261887700.817 761410000868.044 828687544558.906 913869174607.368 988583728513.955 1106323164813.32 1132164604252 1188562475544.54 1287738790925.08 1213252938317.62 1192179698396.88 1218199432611.75 1335978074093.24 1431204848760.99 1564919808182.55 1701096345179.24 1797347143743.03 1646431939845.43 1846280000000 1978083198686.64 2045509165280.62 2118638676131.6 2207928537610.17 2217235301820.32 2223782708143.94 2310850895665.85 2379934717455.62 2377155756488.76
United States USA Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $) NE.CON.PRVT.PP.KD 6371950625822.73 6383453052734.12 6618369443010.11 6848935196097.71 7114290148608.3 7324197529806.03 7578343629466.38 7863707274857.3 8281355725035.84 8717564067878.79 9160557497459.22 9391300244143 9632542809900 9938631596665.77 10311519887266.5 10678810110367.1 11005943051354.9 11250550604967.1 11226696818958 11085879252080.2 11279840302543.4 11492709931787.7 11665445594806.5 11835068512303.7 12185403438420.8 12648403440039.9 12998490363449.6 13340354000000.1 13701740923081.7 14032518648743.3
United States USA Arms exports (SIPRI trend indicator values) MS.MIL.XPRT.KD 6056000000 6404000000 5928000000 9017000000 12237000000 11151000000 8413000000 7256000000 8449000000 11770000000 9011000000 11720000000 10787000000 12033000000 12780000000 15680000000 15662000000 14387000000 14083000000 9721000000 10732000000 13611000000 14015000000 13947000000 11887000000 10815000000 11651000000 12252000000 11898000000 11347000000 10733000000 12489000000 14118000000 13856000000 11526000000 11218000000 10878000000 14531000000 15733000000 11562000000 7577000000 5606000000 4947000000 5659000000 6843000000 6770000000 7521000000 7832000000 6797000000 6870000000 8033000000 8988000000 9074000000 7508000000 9608000000 9963000000 9855000000 12050000000 10414000000 10752000000
United States USA Transport services (% of commercial service exports) TX.VAL.TRAN.ZS.WT 38.1496881496881 36.9771863117871 36.7153912295787 38.7073863636364 39.8939304655274 36.5905469994689 36.7375231053604 36.4812419146184 36.21138816524 38.1116495237616 37.3655208606665 34.0286831812256 30.4228121927237 31.7594043887147 29.5957890555169 30.0663065219788 28.2290581857994 28.6888356538033 28.9965397923875 27.2632493483927 27.956508787608 25.8867621469683 23.8159162238588 22.9610303163575 22.3464083304696 22.6159398226025 21.3970981867099 20.4884488448845 19.1088046705422 17.1626300143081 17.1224127366574 16.6635247714271 16.3871929474195 16.1754467393827 16.3640573504294 16.0859393728972 15.8530697138895 14.9208930418316 14.9965689487949 13.1106550844756 13.5666758463848 13.3077877210971 13.315748014861 12.8999152905563 12.3048867854894 11.2840414926003 10.7355290639592 10.6536502546689 11.0946787803218 10.6754563300226
United States USA Merchandise exports to high-income economies (% of total merchandise exports) TX.VAL.MRCH.HI.ZS 66.7104942780618 66.9259029533852 66.2425980754996 66.2857142857143 66.1267180184262 68.5257974487485 68.160529397061 70.8694798076131 71.7676466673996 73.5735735735736 72.8083611761548 72.9193568117873 73.2665495608532 71.9448904991971 69.5276867513137 66.6917684200752 69.0022153685765 70.5543560668491 69.4264814273993 70.0712932194546 68.2123731966883 67.865076786264 69.4992962752011 73.3477239983449 72.3954806924834 72.7916443894157 74.8668052578808 75.8617853060869 75.4465088731437 75.5629205107469 75.6957857937633 74.4073597920244 72.2696242299565 71.9628430700758 71.4789079415158 72.3835333547162 71.451140426106 71.6348146241663 71.0469757039449 72.1063328667199 70.4397737736467 69.5204958510368 69.1063173002719 69.0714183080222 68.3085215039936 67.9616789854784 66.7952632137243 66.3315931159638 64.8933713811033 63.5852248535826 61.7683034700859 60.9562586774864 60.5816388024971 59.6339677493459 59.5612499526066 60.4283489266701 60.4541506040449 59.8894904478491 60.2342245234461 61.1725723979965
United States USA Commercial service imports (current US$) TM.VAL.SERV.CD.WT 9060000000 10000000000 11480000000 13610000000 15650000000 16420000000 18780000000 20450000000 23250000000 26680000000 28890000000 32020000000 37130000000 39590000000 52870000000 57180000000 64963000000 74221000000 81431000000 85610000000 98570000000 100380000000 103847000000 109794000000 120768000000 129227000000 139309000000 151976000000 166161000000 182531000000 206413000000 206716000000 214126000000 228723000000 264309000000 284768000000 321977000000 357204000000 391770000000 376081000000 404490000000 426896000000 441750000000 440477000000 466695000000 476230000000 490396000000 522786000000 539094000000 564280000000
United States USA Ores and metals imports (% of merchandise imports) TM.VAL.MMTL.ZS.UN 12.5849637208641 11.4347794129153 11.1011842449062 11.3006463964821 11.171902791451 10.4631963905866 9.6675251581885 7.89778476755945 7.71431335668941 6.30158170913412 5.84902798373243 5.93157788864468 6.14891346896816 5.14575702875831 5.09619140608088 4.52638032194764 4.66477630869354 4.68664944732169 4.7253087609228 4.23156173001588 3.34870944951217 3.8408291622342 3.43936039209837 2.81141557197451 2.85254877110249 2.62607846617125 3.37254808486665 3.03743607989082 2.68235865483253 2.42476526533043 2.23748783549855 2.41817797057324 2.67063508250585 2.41330842718019 2.40695730224854 2.38050412492117 2.17674241315469 2.21289639368369 2.11297340796418 1.82414810217169 1.69819215401018 2.01120036309122 2.1742253997004 2.76808863888625 2.82111701283802 2.60666484725249 2.01745327747031 2.3069354994781 2.60321303489616 2.25816923686071 2.16952163632836 2.13807000887075 1.96344009661028 1.89888101029096 2.24159099940768 2.26191244731158 2.16891297713907
United States USA Tariff rate, most favored nation, weighted mean, all products (%) TM.TAX.MRCH.WM.FN.ZS 4.56 4.66 4.73 4.8 4.71 4.27 4.11 3.67 3.6 3.89 3.4 3.46 3.33 3.2 2.99 2.96 2.91 2.42 2.76 2.82 2.81 2.81 2.79 2.81 2.78 2.79 2.79 3.07 3.19 17.94
United States USA Import volume index (2000 = 100) TM.QTY.MRCH.XD.WD 23.34514044 25.08635342 23.92043461 25.28468512 32.79064727 33.87656729 35.74843735 35.80774443 37.66992837 39.93787589 38.34785276 38.61926595 40.92066424 47.46512807 52.4606486 53.35284349 57.14227548 67.71012552 74.25849655 84.23411064 100 97.03392254 101.285121 106.7844709 118.429151 125.0843542 131.9869598 133.4763536 128.4692211 107.4833391 123.321222 127.9823208 131.5897101 132.5797714 138.8249396 148.3908037 149.151011 155.1136398 163.3306203 162.4531557
United States USA Rural population (% of total population) SP.RUR.TOTL.ZS 30.004 29.623 29.243 28.866 28.492 28.121 27.753 27.388 27.026 26.667 26.398 26.387 26.377 26.367 26.357 26.347 26.337 26.327 26.318 26.308 26.262 26.11 25.958 25.806 25.656 25.506 25.356 25.207 25.058 24.911 24.7 24.299 23.903 23.512 23.125 22.743 22.364 21.992 21.623 21.258 20.943 20.766 20.591 20.417 20.243 20.072 19.901 19.731 19.562 19.394 19.228 19.056 18.881 18.701 18.517 18.329 18.138 17.942 17.744 17.541
United States USA Population growth (annual %) SP.POP.GROW 1.65773003738953 1.53799735825387 1.43916476170683 1.38904605518369 1.25017164562845 1.1548931907552 1.08888120728762 0.998461043585335 0.977242811872469 1.16500266687286 1.26433369185094 1.07052275237269 0.954476728552297 0.913660196067714 0.985986067347125 0.950220048994522 1.00577199618134 1.0595730803427 1.10357656509899 0.959589922764484 0.981415437259678 0.953317566163514 0.914378513375149 0.865817336309961 0.886129040850881 0.924164157058979 0.893829201032046 0.907999040167679 0.944405555428529 1.12965052045579 1.33626074073779 1.38688569247935 1.31867999977741 1.2262960888682 1.19078709090209 1.16341161998189 1.20396029701272 1.16571452642589 1.14834004729055 1.11276899679534 0.989741382223669 0.927797485710314 0.859481712840946 0.925483968943482 0.921713167161207 0.964253917136075 0.951055242772428 0.945865287282592 0.876651298802912 0.827846041704304 0.720017688665691 0.727268997193117 0.686773155567634 0.727517695817155 0.730641178178307 0.716669413429853 0.631007893230758 0.522337357899676 0.473953539373292
United States USA Population ages 65 and above, female SP.POP.65UP.FE.IN 9129501 9398987 9662954 9927724 10201093 10474283 10762508 11058270 11359771 11670580 12008828 12371956 12711772 13050694 13400084 13766651 14097934 14440704 14802843 15183725 15550510 15879451 16192634 16502703 16821112 17161905 17467078 17772719 18084844 18398154 18733129 19018981 19290873 19531693 19736688 19914954 20024127 20126831 20214380 20298836 20387123 20469861 20534403 20601784 20724462 20902768 21152004 21452009 21818559 22251373 22763564 23320072 23957268 24649583 25398693 26188371 26999911 27796212 28582660 29393819
United States USA Population ages 30-34, female (% of female population) SP.POP.3034.FE.5Y 6.58522461232553 6.36591022611111 6.14844145346488 5.94494099789493 5.770084213185 5.63327577655059 5.54149232863716 5.49024004195866 5.48118016977417 5.5110155489588 5.57344505507533 5.66288306134058 5.79027688225578 5.96084937116279 6.1723696369096 6.4131861262141 6.63412559529236 6.88704164874211 7.16140258155501 7.42803687802773 7.65928376057242 7.81975457228438 7.9427040775127 8.04951735266492 8.16040508372702 8.2760903614653 8.35158588553515 8.42920833291301 8.50721940929374 8.56270729709813 8.56916938534703 8.51118801992221 8.42187869344651 8.31591018776961 8.20020636394336 8.06796427434852 7.86730782946596 7.65003107036793 7.43061857992868 7.23019158182325 7.06288184947441 6.92095792352732 6.8043355340669 6.70954174797482 6.62956124351246 6.55978646418868 6.48661601110921 6.42820208623737 6.38415550757919 6.35638919873578 6.34592424954184 6.35211171177951 6.38122443054504 6.42669309398242 6.47978077510839 6.53493797606679 6.58615700530287 6.63416275370856 6.68134188704712 6.73210180320435
United States USA Population ages 05-09, female (% of female population) SP.POP.0509.FE.5Y 10.0245825367439 10.0453317102871 10.0782516178896 10.1166664701194 10.1358446778524 10.1024206749473 10.0267612852819 9.89773806073826 9.71879585233497 9.50657115814975 9.28665302074472 9.04522574202324 8.76124732571019 8.4462165662087 8.12625436037725 7.83554047641174 7.58899595368783 7.38725925355977 7.22923213228659 7.09833196477552 6.96889864371107 6.87706042356333 6.79973471937506 6.7358902577506 6.68630716868273 6.6519093409321 6.67245428998814 6.70987690793659 6.75800075115379 6.80667962825888 6.84344604235501 6.91807723876179 6.98328866368861 7.03245012427015 7.06202811666586 7.06965639674116 7.11042136086027 7.14493162545403 7.16436289122461 7.15863367363484 7.11895626566298 7.0578072490692 6.94583588153923 6.7890306428025 6.6147854405839 6.46213775609865 6.40714015928248 6.39742986199681 6.4216884230714 6.45278412223614 6.45334586048379 6.41914190519016 6.39457001075641 6.37820505488417 6.36122832033393 6.33032874281422 6.28339216097934 6.20068707001235 6.08819486317261 5.96529321484133
United States USA Fertility rate, total (births per woman) SP.DYN.TFRT.IN 3.654 3.62 3.461 3.319 3.19 2.913 2.721 2.558 2.464 2.456 2.48 2.266 2.01 1.879 1.835 1.774 1.738 1.79 1.76 1.808 1.8395 1.812 1.8275 1.799 1.8065 1.844 1.8375 1.872 1.934 2.014 2.081 2.0625 2.046 2.0195 2.0015 1.978 1.976 1.971 1.999 2.0075 2.056 2.0305 2.0205 2.0475 2.0515 2.057 2.108 2.12 2.072 2.002 1.931 1.8945 1.8805 1.8575 1.8625 1.8435 1.8205 1.7655 1.7295
United States USA Consumption of iodized salt (% of households) SN.ITK.SALT.ZS
United States USA Unemployment, female (% of female labor force) (national estimate) SL.UEM.TOTL.FE.NE.ZS 5.90000009536743 7.19999980926514 6.19999980926514 6.5 6.19999980926514 5.5 4.80000019073486 5.19999980926514 4.80000019073486 4.69999980926514 5.90000009536743 6.90000009536743 6.59999990463257 6 6.69999980926514 9.30000019073486 8.60000038146973 8.19999980926514 7.19999980926514 6.80000019073486 7.40000009536743 7.90000009536743 9.39999961853027 9.19999980926514 7.59999990463257 7.40000009536743 7.09999990463257 6.19999980926514 5.59999990463257 5.40000009536743 5.5 6.40000009536743 7 6.59999990463257 6.05000019073486 5.67000007629395 5.46999979019165 5.07000017166138 4.61999988555908 4.34000015258789 4.09999990463257 4.65000009536743 5.6100001335144 5.67000007629395 5.40000009536743 5.09999990463257 4.63000011444092 4.5 5.42000007629395 8.06999969482422 8.61999988555908 8.46000003814697 7.8899998664856 7.07999992370605 6.05999994277954 5.17999982833862 4.78999996185303 4.30999994277954 3.83999991416931 3.60999989509583 8.35000038146973
United States USA Unemployment, youth male (% of male labor force ages 15-24) (national estimate) SL.UEM.1524.MA.NE.ZS 11.5 13.3000001907349 11.1999998092651 12.1000003814697 11.1000003814697 9.5 7.69999980926514 7.90000009536743 7.80000019073486 7.80000019073486 11.1000003814697 12.8000001907349 11.8999996185303 9.89999961853027 11.5 16.6000003814697 14.8000001907349 13.3000001907349 11.6999998092651 11.3999996185303 14.6000003814697 15.6999998092651 19.1000003814697 18.3999996185303 14.3999996185303 14.1000003814697 13.6999998092651 12.6000003814697 11.3999996185303 11.3999996185303 11.6000003814697 14.3000001907349 15.3000001907349 14.3000001907349 13.1999998092651 12.5600004196167 12.7200002670288 11.9099998474121 11.0600004196167 10.3000001907349 9.72000026702881 11.4300003051758 12.8199996948242 13.3500003814697 12.6400003433228 12.3900003433228 11.2399997711182 11.5500001907349 14.3599996566772 20.1299991607666 20.8299999237061 18.75 17.3299999237061 17.0499992370605 14.539999961853 12.7799997329712 11.4399995803833 10.3199996948242 9.52000045776367 9.39999961853027 15
United States USA Ratio of female to male labor force participation rate (%) (national estimate) SL.TLF.CACT.FM.NE.ZS 45.2581024991258 45.9589840444423 46.2195140559499 47.051595232322 47.7777787196784 48.6988856545632 50.1243762092329 51.119400117041 51.9350802329432 53.5087708395757 54.3287338708179 54.8672596246357 55.6400515549798 56.7258870961965 58.068618214807 59.4351711555221 61.0322570800781 62.2908667012166 64.1848511176083 65.4241639193983 66.5374663885256 67.6623356806768 68.6684066865768 69.2408383106643 70.15706466441 71.4285685716554 72.4770603214104 73.4908165915508 74.278216195423 75.1308905490478 75.261778601566 75.7255926318169 76.2532940765101 76.7904513980764 78.3546305355131 78.6808751977492 79.0883661442383 79.7709474592865 79.9172105246322 80.3399328139519 80.1229789905579 80.3197191759761 80.458839621578 80.9549674767358 80.6763921589844 80.8237841901089 80.8058825893704 81.0024588698327 81.5215952139064 82.2654637070906 82.3545921334062 82.434727166348 82.2120828028497 82.0450255704513 82.314697260969 82.0854421435582 82.0927839757799 82.5828886166936 82.6647346970706 83.0513362804237 83.0623673087566
United States USA Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) SL.TLF.ACTI.1524.FE.ZS 60.0999984741211 58.6199989318848 58.5400009155273 58.6500015258789 59.9000015258789 59.7999992370605 59.9199981689453 60.2400016784668 60.6399993896484 60.1199989318848 59.9799995422363 58.7099990844727 57.4500007629395 55.6399993896484 54.9500007629395 55.0299987792969 54.5 53.7400016784668 52.9700012207031 51.4099998474121 49.5 49.1599998474121 49.939998626709 49.6100006103516 49.7900009155273 50.1100006103516 50.4500007629395 51.1800003051758 51.310001373291 51.6699981689453
United States USA Children in employment, female (% of female children ages 7-14) SL.TLF.0714.FE.ZS
United States USA GDP per person employed (constant 2017 PPP $) SL.GDP.PCAP.EM.KD 84062.2433217254 86244.0538500311 87113.5540981727 88208.672217605 88844.9891334862 90743.9282854604 92689.6541058073 95158.3466521473 98024.1496173693 100468.286280377 101602.972028218 103930.407980524 106695.874943409 109423.587656601 111356.388485216 112615.744853553 113771.030557805 113706.804817366 114980.269594256 118578.439107966 119472.061873102 119716.684887485 120923.048084216 121783.403973386 123334.107504705 123311.118703888 124239.016821337 126318.523880337 127378.230066265
United States USA Employment to population ratio, 15+, male (%) (national estimate) SL.EMP.TOTL.SP.MA.NE.ZS 78.9000015258789 77.5999984741211 77.6999969482422 77.0999984741211 77.3000030517578 77.5 77.9000015258789 78 77.8000030517578 77.5999984741211 76.1999969482422 74.9000015258789 75 75.5 74.9000015258789 71.6999969482422 72 72.8000030517578 73.8000030517578 73.8000030517578 72 71.3000030517578 69 68.8000030517578 70.6999969482422 70.9000015258789 71 71.5 72 72.5 72 70.4000015258789 69.8000030517578 70 70.4800033569336 70.8199996948242 70.9499969482422 71.379997253418 71.5800018310547 71.6500015258789 71.8899993896484 70.870002746582 69.7099990844727 68.9000015258789 69.1900024414063 69.5999984741211 70.0699996948242 69.7600021362305 68.5 64.5500030517578 63.689998626709 63.8699989318848 64.3899993896484 64.4000015258789 64.879997253418 65.3399963378906 65.7699966430664 66.0299987792969 66.3300018310547 66.5800018310547 62.3899993896484
United States USA Employment in agriculture (% of total employment) (modeled ILO estimate) SL.AGR.EMPL.ZS 1.92999994754791 1.9099999666214 1.88999998569489 1.86000001430511 1.83000004291534 1.79999995231628 1.75999999046326 1.72000002861023 1.67999994754791 1.62999999523163 1.52999997138977 1.53999996185303 1.5 1.47000002861023 1.4099999666214 1.38999998569489 1.28999996185303 1.3400000333786 1.35000002384186 1.41999995708466 1.45000004768372 1.37999999523163 1.32000005245209 1.35000002384186 1.44000005722046 1.42999994754791 1.42999994754791 1.37000000476837 1.36000001430511
United States USA Multidimensional poverty headcount ratio, male (% of male population) SI.POV.MDIM.MA
United States USA Income share held by highest 20% SI.DST.05TH.20 41.8 41.1 43.1 43.8 45.6 46.2 45.9 45.8 46.3 45.5 46.2 46.7
United States USA External health expenditure per capita (current US$) SH.XPD.EHEX.PC.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) SH.UHC.NOP1.ZG 0.012777432857547 0.0114483744255267 0.0078714729170315 0.00957814627327025 0.0008454797352897 0.000225496842176653 0 0 0 0.000367221582564525 0 0.000547536183148623 0.000558808096684515 0.000611628638580441 3.52374627254903E-05 1.35769369080663E-05 0.0852491961268242 0
United States USA Suicide mortality rate, female (per 100,000 female population) SH.STA.SUIC.FE.P5 4.9 5.4 5.9 7.1 7.2
United States USA People practicing open defecation, urban (% of urban population) SH.STA.ODFC.UR.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA People using at least basic sanitation services, urban (% of urban population) SH.STA.BASS.UR.ZS 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086 99.9891560091086
United States USA Number of maternal deaths SH.MMR.DTHS 470 510 520 540 540 560 570 570 580 600 600 610 620 630 640 680 730 720
United States USA Incidence of HIV, all (per 1,000 uninfected population) SH.HIV.INCD.TL.P3 0.17 0.15 0.15 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.14 0.15 0.14 0.14 0.13 0.13 0.13 0.12 0.12 0.12 0.12 0.11
United States USA Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) SH.DYN.NCOM.ZS 18 16 14.5 14.3 14.6
United States USA Number of infant deaths SH.DTH.IMRT 109268 106072 102465 98515 94307 89981 85616 81246 76946 72784 68814 65082 61575 58261 55163 52311 49768 47560 45697 44142 42870 41843 41017 40365 39863 39458 39100 38724 38278 37689 36927 35987 34882 33688 32486 31347 30337 29500 28857 28385 28070 27904 27845 27839 27836 27770 27593 27269 26796 26195 25523 24829 24175 23594 23109 22725 22444 22234 22023 21779
United States USA Women who believe a husband is justified in beating his wife when she neglects the children (%) SG.VAW.NEGL.ZS
United States USA Government expenditure per student, secondary (% of GDP per capita) SE.XPD.SECO.PC.ZS 24.28969 23.89396 22.76782 22.58939 22.36455 21.68055 22.1348
United States USA Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.MS.MA.ZS 11.9544897079468 11.9256401062012 12.00119972229 12.5778503417969 12.8409404754639
United States USA Trained teachers in upper secondary education, male (% of male teachers) SE.SEC.TCAQ.UP.MA.ZS
United States USA School enrollment, secondary (% gross) SE.SEC.ENRR 84.0059967041016 85.0294570922852 85.3779678344727 85.4316329956055 85.6479187011719 85.7496566772461 85.4878311157227 78.9636383056641 91.3139190673828 89.9994201660156 93.1751174926758 93.2487869262695 95.122802734375 94.0247802734375 94.9692306518555 95.2131500244141 91.4817810058594 91.5325469970703 96.4926223754883 97.8633575439453 96.6739883422852 96.5442962646484 96.4650268554688 94.391960144043 94.0496368408203 95.1511306762695 94.3805236816406 95.0554428100586 95.1133880615234 95.0524826049805 94.7313003540039 95.078857421875 94.984992980957 95.223258972168 94.8459396362305 95.9938201904297 96.251708984375 96.1864929199219 96.9245376586914 97.6525497436523 98.7699279785156 98.9523391723633 99.2755813598633
United States USA Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.PO.FE.ZS 18.7000007629395 22.2000007629395 26.8999996185303 28.1006393432617 28.0280303955078 44.5495109558105 35.3745307922363 36.0050392150879 37.5226287841797 38.4406700134277 39.1529693603516 39.8992195129395 40.5313186645508 41.1223106384277 42.164680480957 42.8737182617188 43.4328994750977 44.6219596862793 46.4446411132813
United States USA Adjusted net enrollment rate, primary (% of primary school age children) SE.PRM.TENR 99.43481 97.63436 96.38975 97.26517 97.50924 97.97434 94.60023 99.64003 95.55776
United States USA Over-age students, primary (% of enrollment) SE.PRM.OENR.ZS 16.3198 5.32799 4.98179 5.79918 5.38143 5.83626 5.53205 5.58336 6.06495 5.97824 5.98609 5.99152 5.52862 5.77392 5.46119 5.44662 5.56819 5.81269
United States USA Primary education, pupils (% female) SE.PRM.ENRL.FE.ZS 48.54702 48.65033 49.0147 48.54171 48.71871 48.83788 48.93702 48.91652 48.75848
United States USA Pupil-teacher ratio, preprimary SE.PRE.ENRL.TC.ZS 13.81997 13.75664 14.27951
United States USA Coverage of social insurance programs in 4th quintile (% of population) per_si_allsi.cov_q4_tot
United States USA Coverage of unemployment benefits and ALMP in 4th quintile (% of population) per_lm_alllm.cov_q4_tot
United States USA Net secondary income (Net current transfers from abroad) (constant LCU) NY.TRF.NCTR.KN -3230369875.08938 -1737821117.41542 -155339643.999973 461133643.417012 1222105739.70536 1113610482.68802 -2490965977.23914 -2130834483.12641 -1991372391.45486 -3440675161.19986 4033679658.97889 -7293307648.52646 5518569364.03647 23028291318.3002 25932091821.2132 -586018010.758982 -9999351963.71471 2615334972.26391 -3910021848.42054 -28895439774.8513 -20085577531.5492 -7007430760.98352 52962249003.0993 -29164056459.2909 -3976142467.16303 -41579451137.0102 -93946584996.8186 -35446449824.8942 34395698345.3054 -56227062758.4732 -78028576294.9503 -75516787142.1518 -103913221901.314 -153009818326.785 -140604567703.131 -75270447429.5594 -29711926174.4834 13899314540.2128 91356986678.3999 68472089537.1433 147831020208.753 179332046581.633 128380661890.318 84935276529.05 99698343219.5695 127300000000 275238807503.332 100463480858.186 68504221172.5888 68992877012.5603 147969415024.758 280344269589.62 236454083890.258 222225919966.827
United States USA GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 2.05235434841204 4.15408842942956 4.86645619697852 -1.33512073317858 -1.40556205360679 4.52042273761262 3.64760245704932 4.35922272623779 2.32745405954611 -1.23580385744457 1.36739611976955 -2.66091088414485 3.5614223016097 6.1775325889041 2.93391459215995 2.2939480771653 2.52732688122153 3.3096814631743 2.70479742568487 0.882682683700949 -1.49893105365902 2.05935944196854 1.38454508449219 2.6190226518421 1.51948068364294 2.58880453262526 3.08463754401838 3.18986377411275 3.6319564300349 3.05217970486717 0.123382363702063 0.755876963985202 2.07689925925976 2.97449643568612 2.51853708357285 1.63418780776151 1.29916415673893 -0.797565339435934 -3.4405002212214 2.0373782396053 1.0294295383009 1.42512208567382 1.09046778601778 1.78616492523331 2.0251111412627 0.848814641454581 1.80779637789902 2.44835901066362
United States USA Gross domestic savings (current US$) NY.GDS.TOTL.CD 233793000000 255953000000 285459000000 336676000000 349877000000 357632000000 411239000000 466682000000 558577000000 637209000000 652990000000 766050000000 718003000000 757040000000 910545000000 935509000000 955364000000 1002043000000 1085971000000 1183394000000 1205964000000 1209823000000 1274385000000 1333535000000 1458170000000 1535416000000 1655638000000 1820236457000 1917962202000 1999704202000 2052207464000 1978794399000 1948692054000 1988148878000 2148381147000 2326817230000 2480925414000 2546607656000 2384119084000 2176122025000 2296073727000 2389718104000 2674213349000 2935633196000 3138992695000 3319595440000 3284143538000 3436295692000 3695588776000 3893569000000
United States USA GDP: linked series (current LCU) NY.GDP.MKTP.CN.AD 5657692999999.98 5963144000000 6158129000000 6520327000000 6858559000000 7287236000000 7639749000000 8073122000000 8577554457000 9062818202000 9630664202000 10252345464000 10581821399000 10936419054000 11458243878000 12213729147000 13036640230000 13814611414000 14451858656000 14712844084000 14448933025000 14992052727000 15542581104000 16197007349000 16784849196000 17527163695000 18224704440000 18714960538000 19519353692000.1 20580159776000.1 21433226000000.1
United States USA Exports as a capacity to import (constant LCU) NY.EXP.CAPM.KN 270004516691.159 268250669012.704 282063931198.03 323150187070.174 300269107107.049 303580118222.309 317671690174.897 311149722512.938 340853116964.099 358442839830.176 351037644981.949 362103943677.802 347638772936.303 353259466574.59 388995497262.099 403308400110.187 426918936313.514 456505091582.043 532211497246.808 590749570934.054 628470146461.656 683198836054.484 726391323973.963 757145383433.811 825863075926.884 906279177679.886 984516090139.907 1121318829495.9 1184106375742.27 1226774730308.72 1297733672390.89 1245616841152.19 1230391301511.16 1239088208273.45 1344019294938.33 1407005962009.38 1528893562369.83 1666564619773.1 1674998913143.81 1622332150285.63 1795476805495.93 1900833027791.04 1977194125632.29 2079691228819.74 2186915374027.3 2265862000000 2307528557709.57 2407470042568.18 2491808363185.44 2515169572228.79
United States USA Adjusted savings: particulate emission damage (current US$) NY.ADJ.DPEM.CD 8715050559.20376 8815199191.63425 9103290062.90371 9432433900.3453 9860334988.21441 10206808997.0733 10573455011.1052 11000525442.5137 11204913073.2276 11927277948.1995 12892597529.2529 13951510336.0581 14898786748.229 15790652178.2624 16332986238.8271 17563638357.1491 18494493065.6334 19060935654.4013 19919205234.937 20123307447.3689 19931638368.8169 21406721815.8214 21282195662.6646 21433963987.4412 21288628940.408 21931467360.4074 21751966983.0095 22677638561.3247 23829310293.694
United States USA Services, value added (constant 2010 US$) NV.SRV.TOTL.KD 8270051790589.1 8639524763100.67 9022897220500.54 9362019695306.94 9566324170980.87 9780624491332.72 10031419846141.3 10344299713806.5 10761102553198.2 11039706608948.4 11229269780182.5 11298131783724 11163325973670.1 11424888461000 11617365048327.2 11874794451252.8 12006349809588 12304983355865.6 12670574450886.5 12900639674006.7 13192105481729.4 13558894923227.2
United States USA Manufacturing, value added (% of GDP) NV.IND.MANF.ZS 16.08717737576 15.7743252610376 15.4533061041723 15.1168784591007 13.9224196426073 13.4454191060115 13.3160831122607 13.1801904285343 12.9930744127009 12.9941172299702 12.782470545635 12.2557021654359 11.7314720268073 11.9326848736209 11.95221066932 11.8522068406576 11.8067999173461 11.6524241602343 11.6263695412775 11.1988377893955 11.1679434288515 11.2592755120503
United States USA Trade (% of GDP) NE.TRD.GNFS.ZS 10.7582854049602 10.7571790359274 11.3406196496001 13.0792857463575 16.4449863225396 15.5163736331565 16.0488456356637 16.4178946751554 16.9728342289651 18.3761942714554 20.1098446894226 19.4259071131591 17.5368122809184 16.6655934803103 17.522432189514 16.603906126303 16.8979771514343 17.9735809845702 19.0701007058615 19.4151283860195 19.8150505840543 19.7864481240974 19.9505945023923 20.0446187019752 21.0554591617453 22.4533816490568 22.6870719902412 23.4283210916839 22.8258909523693 23.2734726597002 25.0436352248928 22.8429578317059 22.1542717779622 22.4771005698784 24.3524067400051 25.5559940385039 26.9001486081178 27.9558020609526 29.8867980581803 24.6415634555134 28.0579522804396 30.7892940559817 30.5681839448303 30.0130072136753 29.9595878225179 27.7551551886786 26.5395162865291 27.1763762453575 27.5355879724925 26.3141535483273
United States USA Gross capital formation (current US$) NE.GDI.TOTL.CD 229845000000 255333000000 288831000000 332566000000 350692000000 341656000000 412870000000 489776000000 583944000000 659753000000 666046000000 778569000000 737977000000 808682000000 1013272000000 1049527000000 1087233000000 1146813000000 1195364000000 1270134000000 1283818000000 1238437000000 1309124000000 1398709000000 1550658000000 1625177000000 1752014000000 1922205000000 2080672000000 2255537000000 2427258000000 2346725000000 2374093000000 2491277000000 2767457000000 3048006000000 3251847000000 3265035000000 3107208000000 2572572000000 2809976000000 2969181000000 3242785000000 3426416000000 3646745000000 3859763000000 3826770000000 4015455000000 4336750000000 4504040000000
United States USA Exports of goods and services (current LCU) NE.EXP.GNFS.CN 59709000000 62963000000 70843000000 95270000000 126650000000 138706000000 149515000000 159349000000 186883000000 230130000000 280772000000 305239000000 283210000000 276996000000 302381000000 303211000000 320998000000 363943000000 444601000000 504289000000 551873000000 594931000000 633053000000 654799000000 720937000000 812810000000 867589000000 953803000000 952979000000 992778000000 1096255000000 1024636000000 998741000000 1036177000000 1177631000000 1305225000000 1472613000000 1660853000000 1837055000000 1581996000000 1846280000000 2102995000000 2191280000000 2273428000000 2371704000000 2265862000000 2227174000000 2374560000000 2528704000000 2514751000000
United States USA CPIA quality of budgetary and financial management rating (1=low to 6=high) IQ.CPA.FINQ.XQ
United States USA Public private partnerships investment in transport (current US$) IE.PPN.TRAN.CD
United States USA Time to prepare and pay taxes (hours) IC.TAX.DURS 175 175 175 175 175 175 175
United States USA Time to import, border compliance (hours) IC.IMP.TMBC 1.5 1.5 1.5 1.5 1.5 1.5
United States USA Firms competing against unregistered firms (% of firms) IC.FRM.CMPU.ZS
United States USA New businesses registered (number) IC.BUS.NREG
United States USA Subsidies and other transfers (current LCU) GC.XPN.TRFT.CN 33100000000 37370000000 31590000000 34410000000 661110000000 722450000000 803180000000 866970000000 915260000000 963610000000 998940000000 1040160000000 1072700000000 1118460000000 1191620000000 1223300400000 1326255100000 1425005400000 1486960300000 1592523900000 1683271400000 1780189300000 1906847900000 2260707200000 2459628200000 2456961200000 2424760400000 2470779600000 2571586100000 2697563100000 2786029300000 2858961800000 2988867600000 3154080400000
United States USA Tax revenue (current LCU) GC.TAX.TOTL.CN 151190000000 163850000000 182920000000 188470000000 201370000000 241880000000 271430000000 315380000000 346830000000 402500000000 400540000000 376060000000 410210000000 450570000000 465430000000 531590000000 554850000000 608300000000 624060000000 635540000000 651000000000 706770000000 774160000000 838920000000 918230000000 1014570000000 1117430000000 1180780000000 1329630000000 1254773900000 1078486200000 1075840000000 1165211500000 1392812200000 1562608600000 1634127700000 1517778800000 1144276500000 1288676800000 1488047300000 1587024200000 1765757500000 1918847600000 2044355600000 2040358100000 2288647100000 2039748700000 2147846900000
United States USA Grants and other revenue (% of revenue) GC.REV.GOTR.ZS 5.71321707419702 7.85439042387472 7.91369497874793 7.2660563042211 6.98900533659101 6.98068998949665 6.57992654295797 7.73607302198027 8.23990620649227 9.09360884040076 9.42375039796243 11.1262474744383 10.2071500167056 10.1661507359909 9.53624843573451 8.75337978940889 8.12408448216753 7.96808561463857 7.1837809955418 10.6665516944037 7.45820497732858 7.90653707249679 6.74283137284377 7.38440736558915 6.31883034973171 6.33777868512859 5.65763700307172 5.59769059178586 5.70484435299584 4.23868807240315 4.4016010411374 4.39371248768997 4.10754152049011 3.96109905819664 4.14901272481799 4.46058613423887 4.80811351514474 7.71345745872602 8.52851619196422 7.87890167690787 7.29504770482104 9.81439999747515 7.89942465870066 7.00703833554059 6.63147484477548 6.25332870030299 6.11497265210437 5.138897109269
United States USA Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) FX.OWN.TOTL.PL.ZS 47.1923294067383 59.8634262084961 64.5688552856445
United States USA Inflation, consumer prices (annual %) FP.CPI.TOTL.ZG 1.45797598627786 1.07072414764723 1.19877334820185 1.2396694214876 1.27891156462583 1.58516926383669 3.01507537688439 2.77278562259307 4.27179615288534 5.4623862002875 5.83825533848253 4.29276668813045 3.27227824655283 6.17776006377041 11.0548048048048 9.14314686496534 5.74481263549085 6.50168399472839 7.63096383885602 11.2544711292795 13.5492019749684 10.3347153402771 6.13142700027494 3.21243523316063 4.30053547523427 3.54564415209369 1.89804772234275 3.66456321751691 4.07774110744408 4.82700303008949 5.39795643990322 4.23496396453853 3.0288196781497 2.95165696638554 2.6074415921546 2.80541968853655 2.9312041999344 2.33768993730741 1.55227909874362 2.18802719697358 3.37685727149935 2.82617111885402 1.58603162650603 2.27009497336113 2.67723669309173 3.39274684549547 3.22594410070407 2.85267248150136 3.83910029665101 -0.35554626629975 1.64004344238989 3.15684156862206 2.06933726526059 1.46483265562714 1.62222297740821 0.118627135552435 1.26158320570537 2.13011000365963 2.44258329692818 1.81221007526015
United States USA Bank liquid reserves to bank assets ratio (%) FD.RES.LIQU.AS.ZS 0.790624676212946 0.823579637432607 0.78040578403555 0.695491439375827 0.67189233154892 0.625704702007028 0.617943777550699 5.97461598703357 7.00117222622931 7.14569237230643 11.2322666831914 10.6052977611568 15.7279686142793 16.5776133472902 14.0127282706113 12.2786213733522 12.607892141843 9.69765250243242 9.15162894914836
United States USA Annual freshwater withdrawals, industry (% of total freshwater withdrawal) ER.H2O.FWIN.ZS 54.34 53.42 54.25 51.15
United States USA Rural population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.RU.ZS 0.245736835 0.256448839 0.248613272
United States USA PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) EN.ATM.PM25.MC.T3.ZS 0.435606724963844 0.408256632453408 0.470045399820984 0.485666603887358 0.479929998459305 0.510906048928106 0.460403731128578 0.437632637498242 0.345386942653791 0.356753675064103 0.276866386180175 0.277272840949727
United States USA Agricultural methane emissions (thousand metric tons of CO2 equivalent) EN.ATM.METH.AG.KT.CE 0 183159.122381914 187591.109091138 188181.573541714 190110.372436088 196701.986323612 198670.507573866 193168.394170443 190331.660213694 188086.189901242 184795.82080161 190553.348722305 195438.944867138 193240.310515988 187570.098016838 188030.036650031 183038.911985481 177973.312429734 174414.098107366 175257.629438406 172495.697132443 172736.823909165 173900.817892833 178039.466145809 179564.558964296 183820.586873406 186398.599399978 186661.799608217 185342.918848491 185744.079988458 186877.601823618 185222.224886511 185455.160704685 186293.144473628 185962.529632825 187157.253467802 190585.568755285 192380.00271163 194811.25315726 196939.951903976
United States USA CO2 emissions from gaseous fuel consumption (kt) EN.ATM.CO2E.GF.KT 630540.65 636935.898 676920.866 719043.695 759692.39 783245.531 842896.62 882005.175 937127.519 1018916.287 1060078.362 1097826.46 1116586.832 1104383.056 1053030.388 978931.319 995271.471 963676.599 981036.177 1015843.341 1002059.088 970713.572 903497.462 858228.347 886962.959 860681.57 817454.974 865694.359 907443.154 939188.373 1003980.596 1050346.144 1070995.021 1101299.109 1123766.818 1162211.646 1152435.424 1161085.877 1142303.503 1200792.153 1255148.094 1179494.217 1225702.084 1189992.838 1168709.57 1162996.384 1151434.333 1244700.811 1240762.453 1227971.957 1275074.572 1304065.874 1365136.092 1392202.219 1440397.6 1484155.911 1498556.22
United States USA Electricity production from nuclear sources (% of total) EG.ELC.NUCL.ZS 0.0692777977163337 0.215179689322422 0.268683990460557 0.353732927008749 0.343260630424641 0.349964001913936 0.487348894616474 0.594980561581967 0.952330207445297 0.975677779516332 1.43630329868199 2.38067841585553 3.12315482232543 4.53658568849087 6.19469840369686 9.12468426181905 9.47493331250348 11.9122723245361 12.6481474606314 11.4619757143287 10.9661272514543 11.8601211970009 12.6119071712737 12.7110214614706 13.5514148151241 15.5119379662836 16.625980594941 17.7605001054399 19.5445343350448 17.9407113942132 19.0953702261106 19.9514883759513 20.056582941891 19.0766087182148 19.6684077721093 20.0598925239449 19.5881732362997 18.1460533410308 18.7704888731882 19.9247064387534 19.8147239675252 20.6470146771244 19.9811047042283 19.4299925838217 19.607601589169 18.9915076224786 19.0922315755445 19.3489927530953 19.2909937416244 19.9311229787331 19.2664460909667 18.9848461910931 18.7579199060429 19.1738311600765 19.2302385002996 19.3237776259423
United States USA Debt service (PPG and IMF only, % of exports of goods, services and primary income) DT.TDS.DPPF.XP.ZS
United States USA Net official flows from UN agencies, WHO (current US$) DT.NFL.WHOL.CD
United States USA PPG, other private creditors (NFL, current US$) DT.NFL.PROP.CD
United States USA Net official flows from UN agencies, IAEA (current US$) DT.NFL.IAEA.CD
United States USA External debt stocks, private nonguaranteed (PNG) (DOD, current US$) DT.DOD.DPNG.CD
United States USA Net bilateral aid flows from DAC donors, Poland (current US$) DC.DAC.POLL.CD
United States USA Net bilateral aid flows from DAC donors, Denmark (current US$) DC.DAC.DNKL.CD
United States USA Personal remittances, received (% of GDP) BX.TRF.PWKR.DT.GD.ZS 0.00960695082105805 0.00935533651783318 0.00875412109766021 0.00279983914924088 0.00249451051779178 0.00239249545949221 0.00220140791042912 0.00198136869482043 0.00184375172131508 0.0198269249203702 0.0204728317901473 0.0190014662638992 0.0180800414068399 0.0196205223284898 0.0211103080172565 0.0275446308137613 0.0265361863913396 0.0266630585313828 0.0285218794491809 0.0270155709278269 0.0264644195659695 0.0268900903193909 0.0440883402322161 0.0428682394231892 0.0426486124631293 0.0417869869235536 0.0407741365059467 0.0387596608949101 0.0367809490436479 0.0366857948307108 0.0361130019620917 0.0364579408941965 0.0397261167317232 0.0395542899160189 0.0392727563019059 0.0389145961608096 0.0393986262419084 0.037102409226971 0.0360938638080871 0.0338232078403114 0.0325164454733013 0.0323175333544116 0.0313718522820596
United States USA Communications, computer, etc. (% of service exports, BoP) BX.GSR.CMCP.ZS 46.8995633187773 49.0625 45.6928838951311 47.0070422535211 47.1834376504574 49.4213459065581 49.6374184191443 52.3962688967514 51.6502115655853 43.57644477522 44.5846477392219 42.3406113537118 48.6638537271449 49.1279975085643 42.424838990916 41.0709643878347 40.5979307719812 40.7279398349922 38.643105080467 37.966021708353 37.3799540105505 38.6338731279679 39.4593490591107 39.5071835448145 41.5786821028469 41.4113589393822 42.2100494749807 42.7313515012125 44.7099521629428 42.4587315690457 40.6384742117219 43.5160703157732 45.6503702366529 46.0631098124171 45.6072932660353 45.739649660493 47.157551892523 47.599151027523 46.9916233658167 49.5402501253689 47.0611378845278 47.7339533931366 47.0462397528117 45.9247759999222 45.2329979304931 45.7841000045551 46.2485650738987 46.430945533895 22.665902934956 22.1943756208397
United States USA Current account balance (BoP, current US$) BN.CAB.XOKA.CD 2620000000 -980000000 -5260000000 7580000000 1700000000 17880000000 3840000000 -15100000000 -15747000000 -156700000 2127000000 4810000000 -11607000000 -44222000000 -99008000000 -124455000000 -147174000000 -160647000000 -121258000000 -99506000000 -78952000000 2851000000 -51605050000 -84782800000 -121642400000 -113561000000 -124727100000 -140724500000 -215037000000 -286622000000 -401928000000 -394079000000 -456109000000 -522297000000 -635887000000 -749230000000 -816642000000 -736554000000 -696526000000 -379736000000 -432002000000 -455297000000 -418112000000 -336853000000 -367812000000 -407356000000 -394867000000 -365261000000 -449700000000 -480228000000
United States USA Cereal yield (kg per hectare) AG.YLD.CREL.KG 2522.3 2683.1 2800.6 2639.3 3040.8 3016.7 3161.2 3212.8 3464.3 3154.9 3725.6 3908.2 3683.2 2997.5 3461.3 3533 3683.2 4109.8 4426.2 3771.9 4256.7 4370.6 3535.9 4374.1 4763.3 4698.9 4735.4 3706.9 4473.9 4755.1 4507.6 5357.8 4298.8 5560 4644.8 5175.3 5275.3 5676.5 5736.5 5854.3 5891.1 5546.8 6023.7 6851.1 6450.7 6400.4 6704.4 6598.3 7226.2 6978.1 6803.5 5911.9 7300.9 7638.1 7430.5 8144.6 8280.8
United States USA Urban land area where elevation is below 5 meters (sq. km) AG.LND.EL5M.UR.K2 17520.22198 17520.22198 17520.22198
United States USA Households and NPISHs final consumption expenditure: linked series (current LCU) NE.CON.PRVT.CN.AD 3808994000000 3943449000000 4197559000000 4451984000000 4720965000000 4962590000000 5244596000000 5536790000000 5877248000000 6279078000000 6762144000000 7065634000000 7342686000000 7723109000000 8212662000000 8747118000000 9260345000000 9706431000000 9976330000000 9842209000000 10185836000000 10641109000000 11006814000000 11317210000000 11822753000000 12297480000000 12769962000000 13340354000000.1 13993281000000.1 14544601000000
United States USA Arms imports (SIPRI trend indicator values) MS.MIL.MPRT.KD 221000000 238000000 264000000 323000000 326000000 190000000 109000000 84000000 70000000 70000000 46000000 589000000 781000000 666000000 594000000 395000000 499000000 387000000 371000000 253000000 380000000 531000000 248000000 463000000 381000000 655000000 420000000 1992000000 1787000000 1784000000 357000000 519000000 551000000 988000000 982000000 788000000 580000000 588000000 264000000 222000000 334000000 493000000 504000000 602000000 570000000 529000000 639000000 829000000 960000000 974000000 1083000000 1004000000 1203000000 789000000 548000000 516000000 458000000 524000000 380000000 1048000000
United States USA Fixed telephone subscriptions IT.MLT.MAIN 49269000 49269000 49269000 49269000 49269000 58289000 58289000 58289000 58289000 58289000 69039000 69039000 69039000 69039000 69039000 80515000 82802000 85426000 88431000 91265000 94282000 105559000 107519000 110613000 112551000 115986000 118289000 122789000 127087000 131505000 136114000 139413000 143342000 148106000 153448000 159659000 166446000 173867000 179850000 189502000 192513000 191571000 189250000 182933000 177691000 175161000 167460000 158418000 162763000 152873000 149652000 143319000 138595000 133233000 128495000 124848000 121331000 119005000 116724000 107281000
United States USA CPIA trade rating (1=low to 6=high) IQ.CPA.TRAD.XQ
United States USA CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) IQ.CPA.ENVR.XQ
United States USA Public private partnerships investment in ICT (current US$) IE.PPN.ICTI.CD
United States USA Start-up procedures to register a business, male (number) IC.REG.PROC.MA 6 6 6 6 6 6 6
United States USA Cost to import, documentary compliance (US$) IC.IMP.CSDC.CD 100 100 100 100 100 100
United States USA Bribery incidence (% of firms experiencing at least one bribe payment request) IC.FRM.BRIB.ZS
United States USA New business density (new registrations per 1,000 people ages 15-64) IC.BUS.NDNS.ZS
United States USA Expense (% of GDP) GC.XPN.TOTL.GD.ZS 17.7983128894309 17.8963305120894 17.8826242862773 19.4705455028892 19.73244539909 19.602983150369 19.123583570158 18.9210812176906 20.5441697374486 21.004714001251 22.4631398691724 22.8027334882024 21.470358848161 22.1748019522565 22.2306120296592 21.3743366668623 21.0303263401572 20.8631269963379 21.5589293164814 22.8843858256298 21.8183842620163 21.4174726790278 20.7314542852736 20.5330044220039 20.0053956821165 19.3896757908978 18.7213288646304 18.1053971297005 17.9240936276745 19.5159011112695 20.0812888492669 20.6650515141008 20.4577092706672 20.7523997921971 20.5994675834028 20.9001587401077 22.8815508461824 25.6339910607344 26.1594430823802 25.4433280646177 23.9997785778618 23.0229027075258 22.7303976235272 22.4916366325445 22.5838354904257 22.3004760745948 22.3373042291001 22.6583637012926
United States USA Other taxes (% of revenue) GC.TAX.OTHR.RV.ZS 2.54803871148721 2.02098876772977 1.82263525682588 1.58419915646538 1.68134764997107 1.97678489671703 1.27229517248002 1.10924644918341 1.17425075108082 1.06284874724519 1.21283788905565 0.927569950407151 0.839458737053124 0.813696380061912 0.848044516262286 0.825437998725023 0.790591853060037 0.837991495867374 1.06112523488449 0.965767008709149 0.970025267384307 1.01639317772338 1.14472546882634 1.0287291431439 1.12350738220819 1.19189869161348 1.33998130258648 1.45807636793072 1.3753638716896 1.35317296330307 1.33055491954565 1.14242035080248 1.19562574383562 1.06842951336753 1.08083733613614 0.979700716623816 1.07949862038602 0.907958448973845 0.610422514069593 0.371527280307432 0.516728032862934 0.65873285766248 0.565838891308651 0.580383786863504 0.573429700712992 7.16819823729483 0.628995912636202 0.432263585393568
United States USA Grants and other revenue (current LCU) GC.REV.GOTR.CN 12220000000 19160000000 21970000000 21190000000 21740000000 25920000000 27410000000 37800000000 44980000000 58180000000 62160000000 72690000000 73320000000 80460000000 78490000000 79640000000 78200000000 83390000000 77990000000 123700000000 86190000000 97860000000 89710000000 105950000000 96680000000 105550000000 101670000000 106650000000 120330000000 87553900000 83701400000 84519000000 84564200000 92644300000 106842600000 120522700000 125884100000 175098400000 210676200000 204518300000 198693500000 310970000000 262360700000 243768200000 231893000000 238289900000 220432100000 192317700000
United States USA Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) FX.OWN.TOTL.OL.ZS 90.7021865844727 94.8354644775391 94.2130432128906
United States USA Consumer price index (2010 = 100) FP.CPI.TOTL 13.5630607803977 13.7082837473334 13.8726149993924 14.0445895655005 14.2242074456579 14.4496852101109 14.8853541109182 15.2980930695779 15.9515964207889 16.8229342224036 17.8051000777325 18.5694314826577 19.1770749495732 20.3617886272073 22.612744614712 24.6802610650347 26.0980958211709 27.7949115401049 29.9159311887723 33.2828110274678 37.7923663165265 41.6980997956942 44.254788345169 45.6764447583299 47.6407764689876 49.3299488738723 50.2662548449057 52.1082935307754 54.2331348364675 56.8509698983363 59.919760489111 62.4573407534626 64.3490609806525 66.2484245218916 67.9758134970226 69.8828203523109 71.9312285175105 73.6127576083459 74.7554330587091 76.391102265249 78.9707207568716 81.2025684592531 82.4904668765521 84.3630788186188 86.6216781201728 89.5605323721102 92.4497050827274 95.0869923788515 98.7374773853446 98.3864199710624 100 103.156841568622 105.291504532867 106.833848874866 108.566932118964 108.695721960693 110.06700893427 112.411557302308 115.157303224791 117.244195476228
United States USA Domestic credit to private sector by banks (% of GDP) FD.AST.PRVT.GD.ZS 38.9272961531382 40.722883010829 42.3582878862998 45.3725336673974 47.1625838436862 49.0603738066425 48.2284662576687 48.8918417082511 49.1622281167109 49.6077066379057 49.6387320262778 50.7431858179165 53.8905958048956 56.4853764901331 57.3585513734733 54.1266446040843 53.7599844561687 55.6611839798331 56.6336352413826 56.6191812689213 55.073116049483 52.2605254312229 51.3339208903433 51.6317385784078 53.519195623751 55.0508310826118 56.722015376348 56.8583471586737 57.3356926979752 56.1214411565554 52.7198068669816 49.0864838979502 45.6423427843419 44.3657771260698 44.473844404106 45.835458730385 46.2696587515957 46.5805961364589 47.2518471026481 47.3080662396456 48.9682289543262 50.1530723648684 50.2786312733087 51.4550088376368 53.3490305777381 55.2691359485342 57.1561917865724 59.4694235002877 59.7778346544282 54.012729297701 52.4728171990678 50.8141628657258 50.0754079633322 49.362731391297 49.7956333224521 51.0331834469032 52.3333083265684 52.4120948878162 52.0197089046915 51.9429682414803
United States USA Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) ER.H2O.FWDM.ZS 10.85 11.44 11.64 12.79
United States USA Population density (people per sq. km of land area) EN.POP.DNST 20.0558797068663 20.3667228593639 20.6619528854804 20.9509594975849 21.2145265401312 21.4609518984688 21.6959130731 21.9136233808205 22.1288224863958 22.3881314035655 22.6729890729952 22.9170124118896 23.1367971909474 23.3491575462716 23.5805156917379 23.8056504231922 24.0462890983256 24.3024317171382 24.5721129909946 24.8090394542612 25.0537178893674 25.293701468289 25.526042258073 25.7480106911702 25.9771851825972 26.2183697712404 26.4537676766794 26.6950614480247 26.9483653165862 27.2545136128993 27.6211491261017 28.0068916121481 28.3786587123429 28.7288076375484 29.0729515141457 29.4131648134723 29.7694279699879 30.1184850681737 30.4663411566379 30.7973013298523 31.1036283879362 31.3935499327652 31.6645346171981 31.9589450682826 32.2548765979183 32.5673998463204 32.8786113609374 33.2436868537795 33.5363992251367 33.8151813298176 34.0595352569358 34.3081426238218 34.5445726773232 34.7968069685223 35.0519778254415 35.3040869447341 35.5275628537883 35.7136220923495
United States USA PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) EN.ATM.PM25.MC.T2.ZS 0.0351253970467647 0.0351416365854895 0.177794617086424 0.181172484534808 0.185266269991002 0.186573943942614 0.186740677478547 0.170335533363852 0.120884702416346 0.104533778950666 0.0545427047125235 0.0545981931093675
United States USA HFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.HFCG.KT.CE 29185.8 112665 186290 240127 300896
United States USA CO2 intensity (kg per kg of oil equivalent energy use) EN.ATM.CO2E.EG.ZS 2.83596497084176 2.79419696521669 2.77317484315724 2.75319140840948 2.76491597980569 2.76665013002696 2.74922420597998 2.73110251967537 2.69872707518884 2.70825798444611 2.78914501750027 2.74447451189563 2.73877948892637 2.75743197492741 2.71859096974287 2.66477556036423 2.61186999059165 2.59879304288661 2.60392926162612 2.61562722372407 2.61720291386957 2.58472256506017 2.5609991969315 2.57969689280766 2.5495007906369 2.53240973228266 2.5380258216897 2.53869000100076 2.54917714417439 2.5443648962045 2.51868127681746 2.49705085193163 2.49295774421175 2.50951312970149 2.49565793466064 2.48288940114851 2.48532138525844 2.51518927109856 2.50896910583368 2.48979074345092 2.5045415787994 2.50853222076982 2.50064283212374 2.51007356056486 2.49421747524088 2.49689492222203 2.48050511936155 2.47711867350868 2.46548636400904 2.43138214763359 2.43566025951741 2.40595541318223 2.35607642130414 2.36891777453107 2.35783963410572 2.34930892425706
United States USA Electricity production from natural gas sources (% of total) EG.ELC.NGAS.ZS 21.1409828193563 21.5215393916889 21.7778938006894 22.2449330356913 22.596071700772 21.2446841335641 22.1579977361006 22.0647054978507 23.1088377379937 23.3270985452234 24.5773885069872 23.4932898120208 21.7339983761086 18.5636392405224 17.4966983168441 15.9491039996818 14.7452451101683 14.6426309343888 14.106461547494 14.9355225725029 15.2622233574477 15.1816724004359 13.7432967199423 11.9755087707837 12.4167064347876 11.9142051520083 10.0731743167089 10.7355143389101 9.46441654811231 11.874857331757 11.9166807428345 12.3577140855759 13.0529074661293 13.0030192951833 14.2560902477816 14.8619566127675 13.1123803284579 13.7695181661229 14.6786282784826 15.0229061156463 15.755293556572 17.1904936685152 17.6940238659904 16.5289769841976 17.6359183043721 18.3380117580999 19.713960969925 21.1659109857617 20.9574071259826 22.8015830431448 23.3758416558289 24.1585897585537 29.6086711790814 27.0217680238967 26.8879614443192 31.9421612232398
United States USA IMF repurchases and charges (TDS, current US$) DT.TDS.DIMF.CD
United States USA Net official flows from UN agencies, WFP (current US$) DT.NFL.WFPG.CD
United States USA PNG, commercial banks and other creditors (NFL, current US$) DT.NFL.PNGC.CD
United States USA Net official flows from UN agencies, FAO (current US$) DT.NFL.FAOG.CD
United States USA External debt stocks, long-term (DOD, current US$) DT.DOD.DLXF.CD
United States USA Net bilateral aid flows from DAC donors, New Zealand (current US$) DC.DAC.NZLL.CD
United States USA Net bilateral aid flows from DAC donors, Germany (current US$) DC.DAC.DEUL.CD
United States USA Personal remittances, received (current US$) BX.TRF.PWKR.CD.DT 200000000 220000000 230000000 80000000 80000000 80000000 80000000 80000000 80000000 908000000 994000000 995000000 1020000000 1170000000 1300000000 1796000000 1820000000 1943000000 2179000000 2181000000 2270000000 2437000000 4246000000 4395000000 4513000000 4570000000 4672000000 4734000000 4795000000 5068000000 5219000000 5364000000 5740000000 5930000000 6104000000 6303000000 6613000000 6503000000 6578000000 6330000000 6347000000 6651000000 6724000000
United States USA ICT service exports (% of service exports, BoP) BX.GSR.CCIS.ZS 2.62008733624454 2.421875 2.54681647940075 2.93427230046948 2.64805007221955 2.78611230175739 2.79187817258883 2.79832743647475 2.82087447108604 2.85851877222756 1.99789695057834 1.55458515283843 1.85966557274574 2.00872002491436 1.88429845037545 1.99745529667684 3.38642890921464 2.93223328130385 3.23851598070595 3.00456190026742 2.73907750574868 3.33008644831365 2.43509012259516 2.40168682864381 2.5928790638489 2.57576656188838 2.53679310272843 2.89269913664177 3.52902000631738 4.42019158480127 4.09867694775236 4.51637661820986 4.32272555275135 4.72232018405629 4.34292978693145 4.09918359798145 4.06158558780012 4.07397842867461 4.27485715342369 4.55864394841308 4.30155743971686 4.52495776902566 4.74736500871759 4.7832546478192 4.58436742601447 4.76049794043196 4.93909251173565 5.0841293467632
United States USA Personal remittances, paid (current US$) BM.TRF.PWKR.CD.DT 650000000 700000000 670000000 710000000 680000000 590000000 650000000 1060000000 1170000000 1220000000 1360000000 4720000000 5140000000 5450000000 5990000000 6330000000 8660000000 8806000000 9005000000 10220000000 11850000000 13919000000 16156300000 18041200000 20365700000 22181400000 23723200000 25593600000 27426700000 33346000000 34397000000 38219000000 40109000000 40943000000 44357000000 47751000000 50974000000 53039000000 55679000000 50555000000 50527000000 50854000000 52371000000 55003000000 57239000000 60719000000 62870000000 64058000000 67009000000 71562000000
United States USA Surface area (sq. km) AG.SRF.TOTL.K2 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9629090 9632030 9632030 9632030 9632030 9632030 9632030 9632030 9632030 9831510 9831510 9831510 9831510 9831510 9831510 9831510 9831510 9831510 9831510 9831510
United States USA Rural land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.RU.ZS 0.980329212 0.980329212 0.980329212
United States USA Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) LP.LPI.INFR.XQ 4.07 4.15 4.14 4.184653 4.152011 4.05
United States USA Railways, passengers carried (million passenger-km) IS.RRS.PASG.KM 22079.197517351 21865.609594934 22746.357703048 23490.391327033 23910.674990425 25977.28144892 25198.095303748 24409.622511445 25044.071809908 24776.56200888 25393.591629483 27296.432407703 30357.906712861 32143.406016433 30906.931637514 31871.671919151 32579.510200833 34125.70065511 36047.104941171 36393.106488533 36043.875681391 35892.157355569 33255.54260666 31962.706636735
United States USA CPIA property rights and rule-based governance rating (1=low to 6=high) IQ.CPA.PROP.XQ
United States USA Trademark applications, direct resident IP.TMK.RESD 41300 46411 57561 48343 54053 53577 56679 58294 63788 77394 106693 105051 110071 131797 139713 163787 183925 198953 207429 229721 251220 181713 181693 191906 213518 224300 233355 256472 246263 225045 236864 256841 261959 270225 283290 303233 300552 330498 342150 351823
United States USA Procedures to build a warehouse (number) IC.WRH.PROC 15.8 15.8 15.8 15.8 15.8 15.8 15.8
United States USA Cost of business start-up procedures (% of GNI per capita) IC.REG.COST.PC.ZS 1.2 1.2 1.1 1.1 1.1 1 1
United States USA Value lost due to electrical outages (% of sales for affected firms) IC.FRM.OUTG.ZS
United States USA Cost to export, border compliance (US$) IC.EXP.CSBC.CD 175 175 175 175 175 175
United States USA Human capital index (HCI), upper bound (scale 0-1) HD.HCI.OVRL.UB 0.699601054191589 0.773 0.722182035446167 0.710881412029266
United States USA Interest payments (current LCU) GC.XPN.INTP.CN 14820000000 15680000000 23000000000 24550000000 28700000000 33440000000 34280000000 47070000000 61320000000 78470000000 96860000000 106980000000 123580000000 152190000000 154700000000 156240000000 168230000000 180800000000 196340000000 218950000000 216560000000 210990000000 214320000000 234170000000 252320000000 254440000000 253200000000 241060000000 236360000000 331225000000 301271300000 291720500000 306022200000 344374900000 372211800000 407978000000 388397400000 354532800000 381487400000 425441900000 422624100000 416325900000 439092300000 429282500000 454074200000 475942500000 540541500000 581613500000
United States USA Taxes on goods and services (% value added of industry and services) GC.TAX.GSRV.VA.ZS 0.688391048074005 0.654802320631446 0.751331785382218 0.687281130886949 0.639805408199646 0.640261838822766 0.629259638124641 0.619578685373238 0.596619040909787 0.551167394483966 0.477748354259204 0.461337791935699 0.49360907593141 0.475874881228072 0.518144090848506 0.529015692749951 0.564283723019993 0.593260247603613 0.588257381126369 0.55342049413567 0.495552974572256 0.556796940240224
United States USA Net incurrence of liabilities, total (current LCU) GC.LBL.TOTL.CN 20650000000 18000000000 2030000000 53090000000 82790000000 55830000000 61990000000 39820000000 76610000000 84800000000 138760000000 215590000000 174080000000 200540000000 233050000000 148550000000 161420000000 139500000000 219700000000 276410000000 309700000000 247930000000 186310000000 172340000000 128410000000 37400000000 -52560000000 -89130000000 -224420000000 67635500000 322029300000 554069600000 478891900000 453907300000 295472100000 371304800000 1367341100000 1538380100000 1696798400000 1199606600000 1245119400000 873036100000 764842400000 756285800000 883022200000 634916400000 1296172100000 1192465800000
United States USA Domestic credit provided by financial sector (% of GDP) FS.AST.DOMS.GD.ZS 101.084107764539 106.460376147511 106.258259390352 110.335876578783 112.376451104485 114.020845667158 109.489235504214 113.973653823219 114.377802097029 110.701366475371 112.68844709492 116.132488557355 119.884774625736 117.20040825783 113.781809100588 113.664692623223 113.992250030144 113.624040322011 113.720596558372 114.096937878323 116.443531993795 111.49839925945 118.037680224677 122.98639956482 124.194136974066 134.287134949328 143.463323689343 145.602764309799 144.541127134445 147.771961974555 145.621236294368 152.861166724047 154.276387250518 158.39517276342 156.338856215982 166.23649911336 171.58527778039 180.069237454778 190.517705336028 201.890062815996 191.566388562792 199.359289491663 192.526002435496 207.544193225591 214.002888476539 217.293332448294 227.016331852447 236.330394821556 214.607982397565 222.533631454821 218.856002621505 220.094941828845 222.107814974089 230.845457061723 232.990016917138 226.86032428062 232.109718682034 241.501927771145 228.942432519751 243.828157742777
United States USA Monetary Sector credit to private sector (% GDP) FM.AST.PRVT.GD.ZS 38.9272961531382 40.722883010829 42.3582878862998 45.3725336673974 47.1625838436862 49.0603738066425 48.2284662576687 48.8918417082511 49.1622281167109 49.6077066379057 49.6387320262778 50.7431858179165 53.8905958048956 56.4853764901331 57.3585513734733 54.1266446040843 53.7599844561687 55.6611839798331 56.6336352413826 56.6191812689213 55.073116049483 52.2605254312229 51.3339208903433 51.6317385784078 53.519195623751 55.0508310826118 56.722015376348 56.8583471586737 57.3356926979752 56.1214411565554 52.7198068669816 49.0864838979502 45.6423427843419 44.3657771260698 44.473844404106 45.835458730385 46.2696587515957 46.5805961364589 47.2518471026481 47.3080662396456 48.9682289543262 50.1530723648684 50.2786312733087 51.4550088376368 53.3490305777381 55.2691359485342 57.1561917865724 59.4694235002877 59.7778346544282 54.012729297701 52.4728171990678 50.8141628657258 50.0754079633322 49.362731391297 49.7956333224521 51.0331834469032 52.3333083265684 52.4120948878162 52.0197089046915 51.9429682414803
United States USA Bank nonperforming loans to total gross loans (%) FB.AST.NPER.ZS 4.95990413551278 4.38774309355536 3.78150446863877 3.31729162388854 2.45239118205519 1.85071180176899 1.47342654864512 1.32052217712119 1.12682415706513 0.913161530563712 0.855251960083455
United States USA Pump price for gasoline (US$ per liter) EP.PMP.SGAS.CD 0.32 0.34 0.32 0.47 0.4 0.54 0.63 0.56 0.76 0.97 0.76 0.71
United States USA CO2 emissions from manufacturing industries and construction (% of total fuel combustion) EN.CO2.MANF.ZS 27.1848283952153 26.182790382279 25.6803430101513 26.0762719282604 26.8211008600078 26.6774670998752 26.5812255026365 28.1578461605281 27.1322125746659 25.5282680042108 22.8027217958748 20.7833790801965 20.1286064250197 20.097227108453 19.4922218378979 17.3105670073502 17.3593538770841 17.8960271259049 17.3151787679633 18.7071165887047 18.6644845514513 18.4623801319624 16.4385242107212 15.023976040262 15.8014671453098 15.5707686683726 15.090129828942 14.9204725021371 14.7934555173888 13.6969931788289 12.5827442243022 11.8934346243035 10.6985590539786 10.7484344930504 10.644142834961 9.59299689740952 9.28910967574162 9.3874964328996 9.46633228562248 9.17997337432609 10.0483107198049 9.63240882475728 8.86476331548001 8.65233939761291 8.99451457505538 8.36947391126692 8.84951960668802 8.54611263731432 8.61253134287197 7.95899114625957 8.71994838275311 8.90160964713649 8.77833540372671 8.63502489628995 8.65556072879578
United States USA Nitrous oxide emissions in energy sector (% of total) EN.ATM.NOXE.EG.ZS 11.5628008891458 11.9870199881336 12.913820486739 13.2974444464377 13.6992902776773 14.113646230079 14.924746376064 15.7703184507982 16.4864684796762 16.0547541220459 16.2378591530752 16.3560545298946 17.5915394455134 17.4075519364944 17.0914750740902 17.5484663357471 18.0813383008467 17.7765058037927 18.7416579142295 18.573988112157 20.6915575110463 20.9437689102444 21.3066746807324 21.2224626270644 21.1500032801719 21.7477697307497 21.4928695648492 21.6725994981286 22.9493438036985 23.757799629112 25.3982558761905 25.0798410328593 24.5625132841869 23.7404755178632 23.3353284758006 22.7974144300172 23.303482238849 22.8151243522285 21.7321475345976
United States USA CO2 emissions from solid fuel consumption (kt) EN.ATM.CO2E.SF.KT 918715.512 888169.402 921572.105 987816.46 1050034.449 1091511.886 1133645.716 1164001.142 1140536.009 1158948.016 1169046.934 1108314.08 1125761.666 1211543.797 1197260.832 1152171.4 1275466.941 1290409.966 1368418.057 1415909.374 1461226.16 1489652.744 1438446.756 1518086.662 1587389.295 1628012.321 1589761.844 1682188.579 1760347.017 1798227.127 1781828.303 1765906.189 1787915.523 1830504.061 1842421.811 1840195.942 1910250.31 1963135.784 1974276.13 1986721.928 2070963.919 2038155.27 2060362.622 2056915.642 2104619.645 2123574.368 2094220.033 2111062.564 2078492.27 1842018.441 1911717.11 1828806.24 1626050.476 1652500.547 1650322.349 1452832.397 1323423.967
United States USA Alternative and nuclear energy (% of total energy use) EG.USE.COMM.CL.ZS 1.26126148522724 1.33475774086046 1.43006193185308 1.36539050879262 1.40059474990951 1.47222819936187 1.43948624642336 1.59371835614101 1.63247613580925 1.7606108397129 1.81068382134833 2.12491323416879 2.38232402036578 2.78434685172255 3.54621979172437 4.64652903858906 4.56987141711148 5.02520408131375 5.50575392612609 5.24608154657353 5.4272868628859 5.87790015897125 6.49436984279888 6.84776519504243 7.12941354109965 7.83031003085784 8.41396566884746 8.44470392301076 9.00778605263972 9.31670015003552 9.45111635256245 9.98758399326045 9.75480402730826 9.57785293414193 9.75187746552207 10.2440671762868 10.1748033387095 9.42468384685521 9.79913364449837 10.354743625153 10.2970525907123 10.2108646825098 10.5133378836776 10.3429244994095 10.4077374705913 10.3545530514855 10.6284102374098 10.5968903324343 10.9475046355289 11.5601149223974 11.3372473990171 11.5679100503225 11.4475715077974 11.6849567099973 11.680856159034 11.8743317712829
United States USA Access to electricity, urban (% of urban population) EG.ELC.ACCS.UR.ZS 99.9028930664063 99.9507598876953 99.9836730957031 99.9974365234375 100 100 100 100 99.9995880126953 99.9937744140625 99.9706573486328 99.9248046875 99.8631973266602 99.8102416992188 99.7750778198242 99.763053894043 99.7718505859375 99.7972259521484 99.8349456787109 99.8807830810547 99.9287719726563 99.9676055908203 99.9906158447266 99.9987411499023 100 100 100 100 100
United States USA Net ODA received (% of imports of goods, services and primary income) DT.ODA.ODAT.MP.ZS
United States USA Net official flows from UN agencies, UNEP (current US$) DT.NFL.UNEP.CD
United States USA IFC, private nonguaranteed (NFL, current US$) DT.NFL.NIFC.CD
United States USA Present value of external debt (current US$) DT.DOD.PVLX.CD
United States USA Net ODA provided, total (current US$) DC.ODA.TOTL.CD 2759800000 3026100000 3317200000 3580300000 3601800000 4022700000 3819800000 3296000000 3837400000 3376000000 3153000000 3112200000 3958400000 2655400000 3673500000 4160900000 4360200000 4682200000 5663500000 4684000000 7138000000 5782000000 8202000000 8081000000 8711000000 9403000000 9564000000 9115000000 10141000000 7677000000 11394000000 11262000000 11709000000 10123000000 9927000000 7367000000 9377000000 6878000000 8785980000 9145260000 9954890000 11429350000 13290070000 16319520000 19704910000 27934740000 23532140000 21786900000 26436780000 28831340000 29656360000 30966210000 30652380000 31266660000 33095500000 30985540000 34411600000
United States USA Net bilateral aid flows from DAC donors, Italy (current US$) DC.DAC.ITAL.CD
United States USA Net bilateral aid flows from DAC donors, Austria (current US$) DC.DAC.AUTL.CD
United States USA Travel services (% of service exports, BoP) BX.GSR.TRVL.ZS 20.3493449781659 19.765625 21.123595505618 20.0704225352113 19.4511314395763 20.145735105015 20.8121827411168 19.8134448375684 20.2538787023977 21.735043637478 22.2712933753943 26.4628820960699 23.4099077980935 21.4574898785425 28.4529066006693 28.7756693527424 29.6104914704899 29.3790922543634 31.4511112112879 33.3097372974674 34.0862978493169 34.4758309996347 36.0718317734125 36.4883196798468 34.583397789366 34.1407800431583 34.1404922447446 33.6498850027139 32.3484303584545 32.0668928081958 32.5045382403372 30.4218171832146 27.6419066927261 25.8555426805716 24.8588685685427 24.6830827762953 22.7256397044573 21.5711236376695 21.6403779655689 21.1986418047001 22.3891623499901 22.0573658730294 22.4760594723884 23.7628399610302 23.8223237152803 25.0664723145901 24.7096837012894 23.3424615962658 22.78023078921 22.0725483255883
United States USA Reserves and related items (BoP, current US$) BN.RES.INCL.CD -1697710000 -1451584444.90195 553757125.665011 -124113253.382081 1475185651.93974 768880112.120178 2556896385.54971 370956774.537095 -689511020.848138 1134528586.11411 8144258286.23216 5145098814.33451 4978962699.37898 1196003216.2516 3126035320.99632 3835177864.41394 -310342162.696296 -9147171478.15851 3915181496.41662 25287930640.6684 2232799984.91158 -5758650489.58008 -3927313262.78502 1376223140.91037 -5349769201.12771 9747268257.98911 -6666825268.4147 1012006455.32594 6731253481.24992 -8726992890.26808 294855660.020589 4926732911.93233 3692386520.53056 -1529353304.3771 -2803971086.86935 -14086605634.4231 -2392315217.28564 125068324.87979 4838978238.08014 52180023138.115 1823049366.96756 15982755063.0705 4464394270.66745 -3088287205.77653 -3583526202.51751 -6305565601.21119 2101897815.4444 -1695243524.99114 5004277776.37853 4660096094.89876
United States USA Imports of goods, services and primary income (BoP, current US$) BM.GSR.TOTL.CD 59580000000 65960000000 78700000000 98540000000 137590000000 133030000000 162460000000 194210000000 229852000000 281667000000 333831000000 364235000000 355844000000 377603000000 474182000000 484056000000 530151000000 594438000000 663840000000 721679000000 759300000000 734627000000 765601000000 823907000000 951148000000 1080148700000 1159471900000 1286942300000 1356859100000 1524904000000 1803634000000 1663856000000 1695649000000 1842110000000 2165211000000 2500152000000 2881464000000 3124393000000 3270161000000 2525249000000 2928711000000 3287111000000 3367114000000 3376106000000 3522029000000 3410735000000 3379891000000 3640906000000 3976618000000 4004479000000
United States USA Urban land area (sq. km) AG.LND.TOTL.UR.K2 802053.5923 802053.5923 802053.5923
United States USA Arable land (hectares) AG.LND.ARBL.HA 180630000 177095000 179574000 177966000 177000000 175705000 174487000 181000000 189244000 188735000 188140000 187545000 187050000 186472000 186472000 186472000 186552000 188755000 188755000 188755000 188755000 187765000 187765000 187765000 187765000 187765000 185742000 185742000 185726000 185676000 185676000 184080000 182748000 181939000 181839000 179006000 177592000 176782000 175368000 175368000 175400000 172977000 171634000 167056000 165115000 160441296.875 161880000 161812593.75 157960703.125 155926203.125 151669296.875 155107500 152241703.125 154265500 152262500 152262500
United States USA Scientific and technical journal articles IP.JRN.ARTC.SC 304781.56 305612.91 319307.62 329398.86 353853.49 384572.94 385515 391909.59 393978.95 399350.31 408817.1 423958.81 427996.8 429570.05 433192.28 429988.89 427264.63 432216.49 422807.71
United States USA Other taxes payable by businesses (% of commercial profits) IC.TAX.OTHR.CP.ZS 5.9 6 6 6.1 6.1 6.1 6.1
United States USA Time required to enforce a contract (days) IC.LGL.DURS 444 444 444 444 444 444 444
United States USA Firms with female top manager (% of firms) IC.FRM.FEMM.ZS
United States USA Average time to clear exports through customs (days) IC.CUS.DURS.EX
United States USA Human capital index (HCI), female (scale 0-1) HD.HCI.OVRL.FE 0.704651892185211 0.757 0.730934500694275 0.720416069030762
United States USA Taxes on income, profits and capital gains (% of total taxes) GC.TAX.YPKG.ZS 83.9738077915206 85.1205370765944 86.1797507106932 86.5283599511859 85.9462680637632 87.5186042665785 88.8000589470582 89.9200963916545 89.0176743649627 86.1565217391304 86.7379038298297 86.7095676221879 86.6702420711343 87.9108684555119 88.5868981372064 89.6781354051054 89.3304496710823 90.3041262534934 89.826298753325 89.0785788463354 88.6236559139785 88.7714532308955 88.3124935413868 89.0943117341344 90.2312056892064 90.7034507229664 91.0365749979864 90.1310997815004 91.155434218542 90.9757287747219 89.6033718373031 89.5724921921475 89.7118763417629 91.0684010378427 91.8674068477545 92.5895693463858 91.9454402710065 90.2125928479699 91.3198716699175 92.0521948462257 91.8565513997833 91.7118177326162 91.9177896149751 92.1486066318404 92.3302041930777 82.344093154423 90.9094536988797 91.1606409190525
United States USA Revenue, excluding grants (% of GDP) GC.REV.XGRT.GD.ZS 16.721783114822 17.1140807758795 17.9661063017273 17.3084045144412 16.6033953022613 17.8357845468353 17.7143296965171 18.597559351038 19.1047024348451 19.9495360522251 19.7264241254457 17.9777977005194 17.7907095107926 18.2404662479353 17.9724086940629 18.7390259751628 18.3821521423533 18.5506542493415 18.2058323595741 18.1313187820521 17.6483480046323 18.0456273686645 18.2572651688514 18.7804599339586 18.9521476326011 19.4159070437715 19.8287106719566 19.7831630304827 20.573341070162 19.5150553211487 17.3832978657184 16.782446075285 16.8515903310788 17.9353212081392 18.6329026771712 18.6888805397959 17.7874235943681 15.7041408945143 16.4716516474936 16.6950134127478 16.8104189948898 18.8714206664118 18.9428464169998 19.0852011424993 18.6804118176014 19.5181149955874 17.5123645259692 17.4547233346954
United States USA Research and development expenditure (% of GDP) GB.XPD.RSDV.GD.ZS 2.45001 2.47983 2.50401 2.54965 2.62879 2.6483 2.55926 2.56455 2.50243 2.51697 2.55764 2.63161 2.76791 2.8127 2.7354 2.76525 2.68166 2.70972 2.71924 2.71742 2.76145 2.81741 2.83766
United States USA Interest rate spread (lending rate minus deposit rate, %) FR.INR.LNDP
United States USA Total reserves minus gold (current US$) FI.RES.XGLD.CD 1554800000 1805900000 1163400000 1247000000 1201400000 1385000000 1646700000 2765200000 4817900000 5104600000 3414890000 2108565226.45738 2663322352.12239 2725956454.21069 4231847549.12931 4626896589.34101 7149001646.11658 7592498332.89743 6979304987.89091 7784025732.73575 15595967203.3543 18923509985.741 22809354762.2223 22626779423.481 23837779881.3768 32095422231.9859 37452484728.3892 34720297237.8669 36744652783.5718 63549633269.3773 72258214607.8445 66661474288.0029 60267694735.1053 62352691775.1732 63284090264.9375 74781404883.4358 64040728546.2044 58906941910.7011 70714734123.4414 60499603711.0814 56600377652.7229 57633677027.9848 67962414914.2412 74894067978.4824 75889985333.445 54083715801.8481 54853874760.9669 59524234464.1401 66607006099.5362 119718872595.853 121391806197.94 136912226738.474 139133870857.439 133533464073.2 119048483711.245 106539635766.333 106290809152.792 112251905534.783 114756990011.769 118437718706.204
United States USA Renewable internal freshwater resources, total (billion cubic meters) ER.H2O.INTR.K3 2818 2818 2818 2818 2818 2818 2818 2818 2818 2818 2818 2818
United States USA Population in largest city EN.URB.LCTY 14163521 14360388 14560269 14762931 14968700 15176758 15388002 15602185 15819651 16039538 16191180 16128515 16066007 16003912 15941972 15880271 15818725 15757586 15696599 15635849 15601401 15646170 15691130 15736220 15781501 15826788 15872267 15917876 15963680 16009490 16085599 16253492 16423372 16594553 16767758 16942770 17119854 17298295 17478845 17661279 17813371 17867738 17922346 17977121 18032139 18087174 18142453 18197900 18253594 18309304 18365262 18421391 18477769 18534163 18590808 18647626 18704696 18761941 18819361 18804722
United States USA Disaster risk reduction progress score (1-5 scale; 5=best) EN.CLC.DRSK.XQ 3.5
United States USA Methane emissions (kt of CO2 equivalent) EN.ATM.METH.KT.CE 594255 579493 586231 589314 588197 589865 589557 584022 581486 600123 607555 608336 605957 591420 607640 601871 598844 604900 617992 621630 637636 627323 623194 617080 615255 604505 598692 589672 577778 568261 556609 551411 550977 551252 544113 538396 540769 542996 547798 528695 524709 514948.8225 499809.345
United States USA CO2 emissions from liquid fuel consumption (kt) EN.ATM.CO2E.LF.KT 1282679.93 1298378.357 1335840.429 1360368.992 1395058.812 1465890.584 1530913.828 1590495.244 1690806.029 1783086.084 2039750.415 2099023.803 2271031.772 2401448.627 2301790.568 2236565.639 2301313.858 2444719.227 2494601.428 2422302.856 2218523.999 2037201.85 1930701.169 1928189.274 1959443.115 1963084.446 2046846.06 2097883.366 2181681.65 2174523.666 1993879.912 1961294.95 2006245.036 2047187.091 2076284.736 2076156.391 2134454.357 2188656.284 2236224.608 2267434.445 2318017.043 2327815.267 2304383.137 2376461.689 2428170.056 2446413.381 2394921.367 2377235.426 2242168.815 2152257.642 2166283.917 2091649.466 2041968.95 2073013.772 2077395.837 2132547.517 2127054.351
United States USA Electricity production from renewable sources, excluding hydroelectric (% of total) EG.ELC.RNWX.ZS 0.0152561215187594 0.0215417719952203 0.0227867031843865 0.0294348609614496 0.0307168349373281 0.0308555023409935 0.0315988871911477 0.0368847483899885 0.0446859903381643 0.0523093703169529 0.0503112585758527 0.0495485446582677 0.099291829924656 0.139811112541332 0.146321401293085 0.180293959704847 0.191631543571737 0.191986038682096 0.151007450218913 0.196129701571792 0.239317436514345 0.263477093372901 0.2155147929741 0.262388527749649 0.320785336820702 0.434107864858278 0.462283178089831 0.479024815001691 0.444989961659066 2.27447547640803 3.00014393597128 1.90289072749002 2.1386003839666 2.13113884040194 2.134809651692 1.97356995076965 1.97036955076133 1.90492399692829 1.82583590397066 1.89473048333376 1.91659722023853 1.88010360445667 2.01428124733788 2.01802918082428 2.09419779753525 2.19635703638911 2.41730372155768 2.59477811196566 3.09253093498013 3.67566581320619 4.0972927613063 4.78961132612296 5.48624125590861 6.32000921832263 6.90002861670197 7.38695495139919
United States USA Multilateral debt service (TDS, current US$) DT.TDS.MLAT.CD
United States USA Net official aid received (constant 2018 US$) DT.ODA.OATL.KD
United States USA Net official flows from UN agencies, UNAIDS (current US$) DT.NFL.UNAI.CD
United States USA Net financial flows, IMF nonconcessional (NFL, current US$) DT.NFL.IMFN.CD
United States USA Short-term debt (% of exports of goods, services and primary income) DT.DOD.DSTC.XP.ZS
United States USA Net bilateral aid flows from DAC donors, Sweden (current US$) DC.DAC.SWEL.CD
United States USA Net bilateral aid flows from DAC donors, United Kingdom (current US$) DC.DAC.GBRL.CD
United States USA Listed domestic companies, total CM.MKT.LDOM.NO 5164 5590 5430 6175 6230 6260 6580 7001 6795 6627 6429 6513 6562 6912 7255 7487 8090 7905 7499 7229 6917 6177 5685 5295 5226 5145 5133 5109 4666 4401 4279 4171 4102 4180 4369 4381 4331 4336 4397
United States USA Goods exports (BoP, current US$) BX.GSR.MRCH.CD 42450000000 43310000000 49380000000 71410000000 98310000000 107090000000 114740000000 120810000000 142075000000 184439000000 224238000000 237045000000 211177000000 201798000000 219933000000 215917000000 223342000000 250210000000 320228000000 359923000000 387398000000 414077000000 439631000000 456943000000 502859000000 575204000000 612113000000 678366000000 670416000000 698524000000 784939000000 731331000000 698036000000 730445000000 823584000000 913016000000 1040905000000 1165153000000 1308794000000 1070330000000 1290279000000 1498887000000 1562631000000 1593708000000 1635563000000 1511383000000 1457394000000 1557004000000 1676950000000 1652437000000
United States USA Net trade in goods and services (BoP, current US$) BN.GSR.GNFS.CD -610000000 -5040000000 -10120000000 -1140000000 -6400000000 9970000000 -6820000000 -27640000000 -30167000000 -24966700000 -18953000000 -15680000000 -23537000000 -57135000000 -108277000000 -121102000000 -138527000000 -151675000000 -114660000000 -93126000000 -80852000000 -31180000000 -39207100000 -70311000000 -98511000000 -96387000000 -104035000000 -108288000000 -166130000000 -255813000000 -369689000000 -360373000000 -420666000000 -496251000000 -610833000000 -716537000000 -763533000000 -711000000000 -712352000000 -394779000000 -503078000000 -554517000000 -525907000000 -446824000000 -484145000000 -491262000000 -481172000000 -513785000000 -579939000000 -576865000000
United States USA Imports of goods and services (BoP, current US$) BM.GSR.GNFS.CD 54510000000 61150000000 72850000000 89590000000 125480000000 120450000000 149140000000 179540000000 207692000000 248237000000 290741000000 309975000000 298704000000 323153000000 399324000000 410112000000 448568000000 500547000000 545803000000 580189000000 616110000000 609517000000 656080000000 713165000000 801765000000 890784000000 955663000000 1042747000000 1099313000000 1232334000000 1452651000000 1375737000000 1406761000000 1524431000000 1778954000000 2008043000000 2227524000000 2371811000000 2561936000000 1987567000000 2375402000000 2698073000000 2773360000000 2760063000000 2876410000000 2771010000000 2719094000000 2901177000000 3119321000000 3105132000000
United States USA Forest area (% of land area) AG.LND.FRST.ZS 33.0223082096657 33.0341647687074 33.046021327749 33.0578812987501 33.0697378577917 33.0815944168334 33.093450975875 33.1053075349166 33.1171675059177 33.1290240649593 33.1301735880689 33.1568260255492 33.1834818738867 33.210134311367 33.2367901597045 33.2634425971849 33.3499521661398 33.4364617350948 33.5761135380249 33.6627602373128 33.7494069366007 33.7794700582241 33.8095331798474 33.8395963014708 33.8696594230942 33.8997225447175 33.9297856663409
United States USA Agricultural machinery, tractors AG.AGR.TRAC.NO 4690000 4730000 4755000 4783000 4800000 5470000 5450000 5390000 5305000 5270000 5235000 5205000 5180000 5155000 5120000 5090000 5050000 4989000 4880000 4726000 4697000 4669000 4671000 4676000 4670000 4730000 4789000 4548492 4487595 4426699 4365802 4304906 4317974 4331042 4344109 4357177 4370245 4414705 4459165 4503625 4548085 4592545 4551998 4511452 4470905 4430359 4389812
United States USA Railways, goods transported (million ton-km) IS.RRS.GOOD.MT.K6 1922797 2010520 2030952 2114555 2195309 2257583 2334980 2344032 2341159 2458440 2530605 2709558 2656604 2525364 2309811 2491450 2524667 2500300 2541355 2702743 2537845 2314699 2445138 2525224 2364144
United States USA CPIA equity of public resource use rating (1=low to 6=high) IQ.CPA.PRES.XQ
United States USA Trademark applications, direct nonresident IP.TMK.NRES 5537 6098 6184 7202 8547 11523 12574 12998 14557 17007 20653 18268 17766 18622 21342 25063 28585 35657 39182 31040 41244 34596 30944 29833 36848 39377 42755 47029 46463 40898 44597 48368 51366 53115 59288 71743 92690 117716 122683 140906
United States USA Time required to build a warehouse (days) IC.WRH.DURS 80.6 80.6 80.6 80.6 80.6 80.6 80.6
United States USA Cost of business start-up procedures, male (% of GNI per capita) IC.REG.COST.PC.MA.ZS 1.2 1.2 1.1 1.1 1.1 1 1
United States USA Firms visited or required meetings with tax officials (% of firms) IC.FRM.METG.ZS
United States USA Time required to get electricity (days) IC.ELC.TIME 89.6 89.6 89.6 89.6 89.6 89.6 89.6
United States USA Human capital index (HCI), male (scale 0-1) HD.HCI.OVRL.MA 0.678875505924225 0.726 0.697446584701538 0.684286594390869
United States USA Goods and services expense (% of expense) GC.XPN.GSRV.ZS 23.0211719230431 21.5806186051982 20.0846813592444 19.5208193623118 16.6526902372386 17.4050477824063 17.8915300971737 17.5631638236241 18.3898059658268 18.6675177768211 19.158057301097 20.2881760915213 20.5389380428889 20.6462542612455 20.984598459846 20.5585052564634 20.3479713777197 20.1519103491049 17.8455028430526 17.6945183608302 17.3277661795407 15.8680127712008 15.1951017706437 13.9799957926141 13.0824860995876 13.1165973207629 12.839781219794 12.7810881646183 12.8039224222372 7.32142426524758 8.14402265685791 9.02808959343743 9.69628709784471 9.59460315100559 9.69105922811403 9.37114111108985 9.79284615251403 9.5104370379894 9.79057903342502 9.42332779768438 9.20829320316474 8.29419985381795 7.758297326753 7.45282614492882 7.35997363716401 7.25214826462709 7.58251444093671 7.81361852622951
United States USA Taxes on goods and services (% of revenue) GC.TAX.GSRV.RV.ZS 7.1438589929403 6.57948675903911 5.99020243498307 5.62699310770497 5.41053173021282 4.67803183323907 4.35701082651175 3.79435962506651 4.41122591045651 6.35833632910799 5.47899516380892 5.38480377150554 5.15786835950551 4.50691768273422 3.94741638013778 3.5182783407707 3.63817696375329 3.20863790549902 3.21285140562249 3.60955419505044 3.8982728185248 3.8401564179008 4.10612950505468 3.96715872816738 3.49339555433554 3.36613806810335 3.1401638249566 3.61737304815641 3.18263277168296 3.12972141223019 3.51733050149121 3.57392607496473 3.49631277083728 3.16721005258389 2.81774173148565 2.43646842003894 2.472900910292 3.00888822203754 2.75991210952127 2.95603808301015 2.99820481617402 2.84075073200868 2.97866769615442 2.93760257717881 2.82841082789242 2.42523970381741 3.03669040182586 2.56326400825141
United States USA Central government debt, total (% of GDP) GC.DOD.TOTL.GD.ZS 39.128400199944 40.933943570707 44.0615972806026 46.0501444176036 48.2461403335599 47.3534821707435 47.2095352870886 46.7417685500108 44.1174698332784 41.1291489790385 37.7292772729571 33.263120248676 15.1658484819226 53.831020656133 56.2416463518739 56.6783896767545 56.5499612625269 55.4711368300526 55.7459714474528 64.0622298869459 76.1779363289699 85.4642738610747 90.0547850215033 94.163413471203 96.0756025370965 96.3424846931573 96.8191887999694 98.9759928287806
United States USA Claims on other sectors of the domestic economy (% of GDP) FS.AST.DOMO.GD.ZS 179.592555100805 171.294322446522 186.854588392518 194.447176408065 198.46802837254 208.390849033122 217.456446811039 196.750733380952 200.297410714913 194.698547259137 187.196963901977 188.193194172923 196.110698783208 196.374900144741 191.041010372694 193.720632043895 201.640974024662 189.445573323552 201.932301053589
United States USA Net foreign assets (current LCU) FM.AST.NFRG.CN 17254799998.4452 16139899998.3101 14111399998.9356 12817999998.965 11075399999.2306 8839999999.396 4691699999.6743 4690199999.5798 4887899998.7101 -2914400002.3236 7108889997.21411 16068552780.3158 14849305864.5689 14568966865.2469 15458847988.5477 29490901969.116 45961992749.8222 45944482117.3 47910293384.2002 36864019266.981 85242956074.8175 152854552003.739 152956383815.38 154606686142.895 154057787422.8 130312452381.884 121468374460.3 101493280957.4 112769713390 114803574571.2 72728253546.4 78065459959.1 37338618750 -12774980021.4 -99927124772.7855 -94038214636.5304 -54006950947.0825 -56259076746.3323 13074001897.0717 91585433629.2036 188609151899.403 96171370402.0776 47720688557.2594 -17064189999.3125 -86650132171.6934 -56571280091.6399 -104280528275.668 179460838691.005 267023809529.498 225458263048.906 298211038745.814 -3193866441.61035 84626450258.7202 -259776419980.153 -382553121111.911 -447733192676.371 -415057562296.709 -233114700357.984 -98537356544.1484 234172937339.878
United States USA Terrestrial and marine protected areas (% of total territorial area) ER.PTD.TOTL.ZS 26.326199718432 26.328083601169 26.328083601169
United States USA Pump price for diesel fuel (US$ per liter) EP.PMP.DESL.CD 0.28 0.33 0.27 0.48 0.39 0.57 0.69 0.78 0.84 1.05 0.97 0.65
United States USA CO2 emissions from electricity and heat production, total (% of total fuel combustion) EN.CO2.ETOT.ZS 27.6352131951727 28.0171926652163 28.3254529123663 29.1279919857092 29.1385526332261 30.1361867124891 30.743309928658 29.0224331132731 30.0267360469651 31.3659050095981 32.4866521863471 33.0000069961218 34.3064597005958 35.5516465709321 36.0538357652253 36.2824542993408 36.5894398419356 37.6079085149153 37.1858327306269 37.4919520351714 39.0819881913326 39.7815186483452 40.1305434681974 41.1863889684597 40.8996856117193 41.5340134924064 41.5582153154823 42.0425010146016 41.9704915797931 43.3903973408648 44.9705879290779 45.7444151810541 47.0699385995741 47.1590668144836 46.9902974467594 47.7657011972767 47.8763925059945 48.9330200461777 49.3119088159144 48.6297339639156 48.1109906001446 48.4605201654196 48.2428172728669 48.2556802481571 48.2017651816168 48.9420879754905 48.605413395315 49.0548483430827 49.3363112841597 48.6100233013729 48.7971872340823 48.2274307821028 46.952347826087 46.6308196669913 45.9904061079438
United States USA Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.EG.KT.CE 0 35959.744188 38204.322872 42505.271924 45957.257859 46982.976342 49004.767326 53812.814781 57913.198514 61622.511884 62694.440982 61170.97072 61025.028269 60367.249902 60637.605676 62036.875802 62578.234568 63753.153447 63379.304979 68239.182357 68875.28261 68665.32674 69182.21144 72253.51195 72940.309479 75355.833137 77170.78651 78670.221511 78982.754707 79905.644888 80621.546612 82671.322877 80091.594544 77982.663738 75497.917111 75106.504849 73042.323101 72703.858436 71106.688867 65719.100752
United States USA CO2 emissions (kg per 2017 PPP $ of GDP) EN.ATM.CO2E.PP.GD.KD 0.477782106984962 0.478046461275661 0.470275622839702 0.468783046692399 0.456513633636947 0.447945441453473 0.441684677631219 0.432266775157582 0.416214776339736 0.404954523461015 0.402256498067115 0.39143273715502 0.387861194045386 0.379371217613821 0.370662411335026 0.360175693219317 0.344587099072846 0.343687888389921 0.333758968201849 0.321059976327323 0.320886475344346 0.308637114127896 0.291076335511925 0.290780821130011 0.286636616131788 0.273286277065666 0.262556923951371
United States USA Energy imports, net (% of energy use) EG.IMP.CONS.ZS 5.34081618748347 5.57885796797174 5.82595283059258 6.23887607972911 6.5036408374399 7.22057621410312 7.15792247864086 4.25279867385188 5.54405063902184 7.70933842610018 6.52160993280303 9.51537451898334 12.1318125624245 15.8218004340444 15.5511744664603 14.8712458060153 19.694418966796 20.8085095303747 21.9235616320309 18.5741089628757 13.9313696085034 11.801346091942 9.04865570986495 12.7705810086971 9.51353880131994 11.5371937535261 12.0486465321885 13.8549791345335 15.668952653384 16.9955043022868 13.7096309133924 14.9427076463954 16.3385296201642 20.287092675434 18.7960037621226 19.7408464242136 20.5835348178363 21.5098249494927 21.5698941494774 24.4574111759769 26.6594195867123 24.3005371666905 26.60412855113 27.726180617665 28.6955706933386 29.6591792835944 27.9721234263917 28.585606884949 25.2640713700468 22.1249837026312 22.2092008982127 18.554976759716 15.6917290892051 13.9434315101907 9.21446550107214 7.30874345482277
United States USA Access to electricity, rural (% of rural population) EG.ELC.ACCS.RU.ZS 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
United States USA Net official development assistance received (constant 2018 US$) DT.ODA.ODAT.KD
United States USA Net official flows from UN agencies, UNECE (current US$) DT.NFL.UNEC.CD
United States USA Net financial flows, others (NFL, current US$) DT.NFL.MOTH.CD
United States USA IBRD loans and IDA credits (DOD, current US$) DT.DOD.MWBG.CD
United States USA Net ODA provided to the least developed countries (% of GNI) DC.ODA.TLDC.GN.ZS 0.0282602319169323 0.0389708664396519 0.0462116952488052 0.0391862597965649 0.0353120527658515 0.040891921005386 0.0316997063142438 0.0283831609166955 0.0198865251452546 0.0184819457792516 0.0167532418024482 0.020491860023981 0.0245771348764642 0.0340553977805482 0.0414367607816996 0.0423215824680921 0.0181463031241693 0.0174003467640534 0.0211924791982715 0.0218842324105482 0.0260564455765319 0.0234492429411916 0.0252809760655107 0.026052752310828 0.0268624252311039 0.0356068204613842 0.0250296278739038 0.0216995380241649 0.0183463544350766 0.0168745128604832 0.0200702089727802 0.0179334811529933 0.0193441414885777 0.0216920731707317 0.0283572171501213 0.0174231433506045 0.00784267515089621 0.00903214600315133 0.0071992 0.0111280540261528 0.0105046079468198 0.00971591412456073 0.0198271720272254 0.0385378740827221 0.029389135826618 0.0376011230954712 0.0400233787585125 0.0344677031345374 0.0487600535727917 0.0573260295482121 0.0610576949356364 0.0661750146272837 0.0552572587725938 0.051389536336846 0.0484554962071906 0.0493181228373702 0.0505282223183391
United States USA Net bilateral aid flows from DAC donors, Iceland (current US$) DC.DAC.ISLL.CD
United States USA Net bilateral aid flows from DAC donors, Australia (current US$) DC.DAC.AUSL.CD
United States USA Transport services (% of service exports, BoP) BX.GSR.TRAN.ZS 32.0524017467249 30.390625 31.9850187265918 31.9835680751174 32.5950890707752 29.5327903986284 28.8252356780276 27.2113219684786 27.4471086036671 31.2119347021604 29.9474237644585 27.353711790393 24.1756524456946 25.241357832451 25.1427285766516 26.1174120640827 24.3866711265413 24.5190650909165 25.6881395663346 24.6814535158093 25.388881374273 23.54803360526 21.6207341492051 20.7809112962654 20.4431248284638 20.6708243420182 19.5244556708348 18.7869250623797 17.4884974140588 16.6552157037666 16.5963700788194 16.182978738386 15.9519404010984 15.6847532201454 15.7948202950626 15.4236571639938 15.1328571496102 14.2911039466729 14.4673533164445 12.5952708160273 13.1189169222311 12.8645863225935 12.8851000697992 12.5081476684118 11.9846386027789 10.9890481737195 10.4772666707665 10.3980308000597 10.8123307112909 10.4005343502735
United States USA Portfolio investment, net (BoP, current US$) BN.KLT.PTXL.CD -1170000000 -8830000000 -13450000000 -4150000000 110000000 -4900000000 -3970000000 -24040000000 -7100000000 -670000000 -10580000000 -15450000000 -9510000000 -1745000000 -24960000000 -68540000000 -81506000000 -61675000000 -65873000000 -73643000000 6761000000 -11863000000 -22810000000 35247000000 -76220000000 -87957800000 -183464600000 -216257900000 -57361000000 -137690000000 -282253000000 -324573000000 -424623000000 -417105000000 -675384000000 -564748000000 -633367000000 -775806000000 -807954000000 18530000000 -620815000000 -226262000000 -498258000000 -30689000000 -114932000000 -53499000000 -194982000000 -221421000000 32186000000 -133405000000
United States USA Charges for the use of intellectual property, payments (BoP, current US$) BM.GSR.ROYL.CD 220000000 240000000 300000000 400000000 360000000 480000000 500000000 510000000 670000000 850000000 730000000 650000000 800000000 940000000 1170000000 1170000000 1401000000 1857000000 2601000000 2530000000 3140000000 4040000000 5162000000 5032000000 5852000000 6919000000 7837000000 9161000000 11235000000 12845000000 16139000000 16207000000 18981000000 18652000000 22818000000 24126000000 23075000000 24615000000 27764000000 29421000000 31115000000 32912000000 35061000000 35294000000 37562000000 35178000000 41974000000 44406000000 43932000000 42732000000
United States USA Rural land area (sq. km) AG.LND.TOTL.RU.K2 8549545.51 8549545.51 8549545.51
United States USA Agricultural land (% of land area) AG.LND.AGRI.ZS 48.8602417741752 48.4761370286583 48.1979395040485 47.9325163555688 47.589791854097 47.5545258413619 47.5279944447841 47.5812756033436 47.5432800230594 47.4289657341008 47.308864761938 47.1996820599719 47.0795810878091 46.9658127123604 46.9658127123604 46.9658127123604 46.9847013198005 46.7479932219379 46.7479932219379 46.7479932219379 46.7479932219379 47.1013084455004 47.1013084455004 47.1013084455004 47.1013084455004 47.1013084455004 46.615336239049 46.615336239049 46.615336239049 46.615336239049 46.615336239049 46.4494877147624 46.1786054311843 45.9810939233275 45.8719112213614 45.4534139247251 45.2982653052312 45.2658380427472 45.1893009686689 45.2305848555761 45.2900702036254 45.0848730397122 45.1788489748874 44.9164585589047 44.945164332367 44.6647441256854 45.0623443284814 45.1835155431805 44.8170836694937 44.6493314508353 44.2386282142943 44.6799753373082 44.3667927677968 44.5880368453619 44.3690679995015 44.3690679995015
United States USA Intentional homicides, female (per 100,000 female) VC.IHR.PSRC.FE.P5 4.0105169631 4.1878661597 3.9913704482 4.2119541668 3.7572472271 3.7322136876 3.2976154969 3.0067781183 2.9634134083 2.678342606 2.5949531235 3.0892497027 2.581822367 2.5153480615 2.3978664984 2.382072317 2.4231291778 2.4162643999 2.3331166257 2.2764919414 2.1170001061 2.0690054022 2.0780075603 1.9809619244 1.9764176468 2.0557323292 2.2772486811 2.2478340514 2.2138284853
United States USA Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) TX.VAL.MRCH.R5.ZS 4.07596785975164 3.39710864067942 4.51980014803849 5.29752953813104 5.12384836127473 4.70871020062247 3.94350817644815 4.22351353235281 3.07250771020061 1.95722037827301 2.13101705739169 2.00939681849279 1.4594730238394 1.30479765136423 1.45033809105081 1.95459399229305 1.47691238434473 1.07220555756996 1.18361216571405 1.11465685332162 1.2259577299661 1.06940691589424 1.28958157794399 1.45458714910291 1.4078110808356 1.40046524279859 1.20160422396586 1.00081865748083 1.26430153959932 1.11140130822509 1.00910773712071 0.774049546002258 0.708361749941303 0.868176457826304 0.675605760952115 0.831685308076382 0.810006070709309 0.771777679868433 0.706589941250981 0.668058304007134 0.597463954402465 0.660031243758772 0.769947566191373 0.869241439529589 1.04754661709199 1.10799639061028 1.26373446224168 1.79341871006029 1.68798264775559 1.92203688109678 1.88575253035249 1.88802251841509 1.67932748214517 1.64411202473344 1.5701155627345 1.6789989624278 1.79401382685561 2.02899148575643 2.39834376448108 2.47785088567564
United States USA Export unit value index (2000 = 100) TX.UVI.MRCH.XD.WD 88 86 83 81 79 78 89 99 105 105 114 113 115 108 112 123 120 112 108 106 100 99.2 98.2 99.7 103.6 106.9 110.7 116.1 123.1 117.4 123.1 133 133.5 133 132.3 123.9 119.9 122.8 126.9 125.9
United States USA Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) TM.VAL.MRCH.R2.ZS 0.408145596665574 0.514658228813236 0.547854521797191 0.386396660662099 0.378514331249844 0.401520540830711 0.385859511076332 0.393066720466949 0.308264021063765 0.192703816837626 0.180359547929964 0.151816359648853 0.197178826027605 0.19908842002676 0.14622140281726 0.170590242238144 0.201173765730881 0.113748979375596 0.11184083238386 0.120369246264597 0.0879492764898086 0.116071134710535 0.127172663761283 0.13733749754556 0.145770629591965 0.190140981367456 0.194928148337583 0.223217759334143 0.239438518956728 0.313803860678284 0.234113582997752 0.224359289008613 0.353197926921072 0.630762852404643 0.877623077570275 0.942932287532876 0.851223824534203 0.880982026520146 1.08045682565659 0.990099954219442 1.07056733292954 1.00168619775117 1.04761271113846 1.14986478307835 1.36622811330279 1.50156710861246 1.6513495206336 1.58942990695899 2.03120513021759 1.76849155322187 1.89071296465663 2.12144372028352 1.80692675798565 1.71972792657283 1.545072467798 1.26795192763399 1.17625698800464 1.29160088245464 1.45305585783784 1.5157806965658
United States USA Share of tariff lines with specific rates, primary products (%) TM.TAX.TCOM.SR.ZS 3.479106 3.290311 3.640425 3.621849 3.649655 2.404806 2.096178 0.022564 2.396659 2.206745 2.083959 1.949744 2.373789 2.088727 2.107989 2.211174 2.123947 2.977224 2.886477 2.777158 2.880878 2.677168 2.685833 2.510761 2.695076 2.734098 2.641872 1.617376 1.42205 1.633823
United States USA Share of tariff lines with specific rates, manufactured products (%) TM.TAX.MANF.SR.ZS 5.993606 2.422622 2.479013 2.097299 1.855357 1.623692 1.693548 0.0183055 1.74331 1.330285 1.165282 1.100724 1.146945 1.116597 1.127088 1.066466 1.077848 1.169052 1.045631 1.022664 0.9719422 0.8495145 0.8695003 0.8386346 0.9063012 0.9623579 1.015772 0.8460237 0.7313716 0.7898707
United States USA International tourism, number of departures ST.INT.DPRT 74031000 76803000 78481000 82758000 84540000 87973000 84755000 80883000 75880000 79655000 79215000 148511000 140364000 136148000 129954000 121574000 114089000 116329000 118968000 121699000 130364000 141526000 148056000 157873000
United States USA Population, male SP.POP.TOTL.MA.IN 89513346 90976431 92357695 93666285 94937051 96077912 97122939 98100687 98994322 99883728 100988387 102229271 103303479 104276325 105209403 106212123 107166230 108174523 109248279 110394933 111417847 112504755 113594864 114662901 115679075 116710474 117773586 118794437 119837998 120949735 122325569 124003925 125794343 127540992 129197874 130826150 132432633 134108786 135749655 137383155 138983981 140427831 141795060 143072568 144449661 145826206 147268698 148697409 150129032 151473510 152764106 153910331 155084590 156207397 157397705 158591855 159761286 160791853 161644928 162417882
United States USA Population ages 70-74, female (% of female population) SP.POP.7074.FE.5Y 2.75778461149674 2.78182870457465 2.82438807331621 2.87492111574668 2.92157334085043 2.95975750683611 2.96358740056797 2.96337511754938 2.96749219114939 2.98815504201944 3.03269127226887 3.07754583273793 3.12057177110929 3.15452520913693 3.18319642401831 3.22122744528837 3.29838647066806 3.38330770896014 3.45353450801253 3.49893238330927 3.52858867995744 3.54245267637497 3.54810108634133 3.54331364013229 3.53632591195604 3.54003037710919 3.54584585708752 3.55907523950936 3.57276062971012 3.58765310894549 3.61085749412955 3.62977862533197 3.65739096822781 3.67820941974758 3.68239281783053 3.67174960734341 3.64037742324478 3.60359339848493 3.55630988553684 3.49682454533842 3.42959154630782 3.35436744682251 3.27956793394594 3.21077567113836 3.15887453410517 3.13139407571247 3.09765234459831 3.0888543918276 3.1047222228441 3.14363287291768 3.20489327662825 3.2708875958331 3.35591485242841 3.46123420119779 3.59033146373198 3.74377172119681 3.90204592991568 4.08303776918479 4.27303377422737 4.45272349412818
United States USA Population ages 45-49, female (% of female population) SP.POP.4549.FE.5Y 6.05047546561103 5.99245365430386 5.93984050592197 5.90368639603628 5.8896051596843 5.89476618472294 5.91092887106305 5.94139756508141 5.97367040039923 5.98728234119559 5.96912920285325 5.91421648814964 5.82956284626417 5.72306297390069 5.60424998320055 5.4790771221253 5.34609237085742 5.20657035580398 5.07042437744542 4.95230201808223 4.86326067543931 4.80102500818389 4.76891374149559 4.76557932397145 4.79153660001529 4.84916431446164 4.9362166065603 5.04721413996721 5.17735165882173 5.32974299082042 5.51135747952283 5.72893781102053 5.96549454444365 6.19612476297931 6.39753322229113 6.56413555477856 6.73057916859602 6.86579480552062 6.97159336619084 7.06091796545057 7.14479129478372 7.23978395466821 7.32772245846044 7.40196362262644 7.45241083626211 7.47257889734805 7.46119737277093 7.42538744040875 7.36098490660323 7.26615986022984 7.14455502681419 6.99855348487426 6.83745630974941 6.67211843809674 6.51900877662983 6.3886923261335 6.28191192991552 6.19833020805076 6.13377514718993 6.07980391174811
United States USA Population ages 15-64, female SP.POP.1564.FE.IN 54890913 55625285 56447378 57334607 58266944 59170827 60080045 60998132 61900407 62830530 63924067 65182038 66315199 67376865 68435523 69581233 70693125 71899579 73150776 74377307 75403749 76317493 77134394 77848749 78479852 79104742 79674834 80231530 80801984 81396920 82140645 83018298 83974289 84926398 85881361 86902019 87925597 89116496 90364614 91634686 92884214 94117935 95255789 96317733 97472285 98657753 99626475 100643672 101660259 102536853 103263176 103835172 104379707 104835932 105296151 105726939 106150693 106437598 106579196 106659549
United States USA Women who were first married by age 18 (% of women ages 20-24) SP.M18.2024.FE.ZS
United States USA Birth rate, crude (per 1,000 people) SP.DYN.CBRT.IN 23.7 23.3 22.4 21.7 21.1 19.4 18.4 17.8 17.6 17.9 18.4 17.2 15.6 14.8 14.8 14.6 14.6 15.1 15 15.6 15.9 15.8 15.9 15.6 15.6 15.8 15.6 15.7 16 16.4 16.7 16.2 15.8 15.4 15 14.6 14.4 14.2 14.3 14.2 14.4 14.1 14 14.1 14 14 14.3 14.3 14 13.5 13 12.7 12.6 12.4 12.5 12.4 12.2 11.8 11.6
United States USA Children in employment, wage workers, female (% of female children in employment, ages 7-14) SL.WAG.0714.FE.ZS
United States USA Unemployment with advanced education (% of total labor force with advanced education) SL.UEM.ADVN.ZS 3 2.83999991416931 2.67000007629395 2.29999995231628 2.05999994277954 2.11999988555908 1.92999994754791 2.55999994277954 3.32999992370605 3.46000003814697 3.09999990463257 2.71000003814697 2.4300000667572 2.42000007629395 3.00999999046326 5.34000015258789 5.46999979019165 5.1399998664856 4.73999977111816 4.32000017166138 3.69000005722046 3.02999997138977 2.91000008583069 2.69000005722046 2.45000004768372 2.38000011444092 5.59000015258789
United States USA Labor force with intermediate education, female (% of female working-age population with intermediate education) SL.TLF.INTM.FE.ZS 58.0800018310547 58 58.1800003051758 58.4799995422363 58.1399993896484 58.189998626709 57.8899993896484 57.6399993896484 57.2000007629395 56.6699981689453 56 55.8899993896484 55.7400016784668 55.1699981689453 54.9300003051758 54.1100006103516 53.4500007629395 52.6699981689453 51.8199996948242 51.060001373291 50.6300010681152 50.2400016784668 50.25 50.2299995422363 49.8800010681152 50.1100006103516 48.2299995422363
United States USA Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.MA.ZS 84.5100021362305 83.9599990844727 84.0599975585938 83.7799987792969 83.3399963378906 83.3600006103516 83.3600006103516 83.379997253418 83.3199996948242 83.1100006103516 82.9300003051758 82.3199996948242 81.7399978637695 80.8600006103516 80.5299987792969 80.370002746582 80.5100021362305 80.2300033569336 79.9199981689453 78.7799987792969 77.9499969482422 77.3499984741211 77.7099990844727 77.3000030517578 77.1399993896484 77.1999969482422 77.5400009155273 77.7699966430664 78 78.3099975585938
United States USA Average working hours of children, study and work, ages 7-14 (hours per week) SL.TLF.0714.SW.TM
United States USA Child employment in manufacturing (% of economically active children ages 7-14) SL.MNF.0714.ZS
United States USA Vulnerable employment, total (% of total employment) (modeled ILO estimate) SL.EMP.VULN.ZS 5.44999983906746 5.27000001072884 5.34000018239022 5.28999987244606 5.13000022619963 5.09000006318092 4.9799998998642 4.7800000756979 4.61000023037196 4.54999981075526 4.52000007778407 4.45000013709068 4.59000000357628 4.61000020802021 4.55999979376793 4.51999980956316 4.43000015616417 4.31999976933002 4.39999992400407 4.3899999409914 4.27000005543232 4.25000007450581 4.16000015288591 4.07000022754074 4.08000022917986 4.05000000819564 3.97000007703901 4.00000005587936 3.88999991491437
United States USA Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) SL.EMP.1524.SP.ZS 54.4599990844727 53.8199996948242 54.310001373291 55.6100006103516 55.8699989318848 55.4799995422363 55.8199996948242 56.5900001525879 56.5099983215332 56.8600006103516 54.6599998474121 52.3400001525879 50.5 50.2999992370605 50.4500007629395 50.9700012207031 49.8300018310547 47.9500007629395 43.6500015258789 41.6199989318848 41.9099998474121 43.189998626709 43.2000007629395 44.3300018310547 45.3899993896484 46.3800010681152 47.4500007629395 47.4500007629395 48.0299987792969
United States USA Average transaction cost of sending remittances from a specific country (%) SI.RMT.COST.OB.ZS 6.93164328423336 6.8 6.42 5.91754667866864 6.04455275496214 6.53 5.85 3.54
United States USA Poverty gap at $1.90 a day (2011 PPP) (%) SI.POV.GAPS 0.4 0.4 0.4 0.3 0.4 0.5 0.5 0.8 0.8 0.9 0.8 0.9
United States USA Domestic general government health expenditure per capita, PPP (current international $) SH.XPD.GHED.PP.CD 2017.0369873 2219.11352539 2406.6237793 2578.67724609 2761.66308594 2929.8137207 3159.27490234 3328.56225586 3515.82275391 3716.60473633 3857.06518555 3957.61987305 4078.00756836 4210.83789063 4530.33544922 4811.90966797 4977.19140625 5130.76904297 5355.78710938
United States USA Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure SH.UHC.OOPC.10.TO
United States USA Prevalence of wasting, weight for height, male (% of children under 5) SH.STA.WAST.MA.ZS
United States USA Prevalence of overweight, weight for height (% of children under 5) SH.STA.OWGH.ZS 5.4 7 8.1 7.8 6 8.2 9.4
United States USA Female genital mutilation prevalence (%) SH.STA.FGMS.ZS
United States USA Prevalence of current tobacco use, males (% of male adults) SH.PRV.SMOK.MA 35.3 33.9 33.2 32.3 31.5 30.9
United States USA Immunization, DPT (% of children ages 12-23 months) SH.IMM.IDPT 96 96 96 97 97 96 97 97 97 94 90 86 83 88 94 95 95 96 96 96 94 94 94 96 96 96 96 96 96 95 95 96 94 94 95 95 95 95 94 94
United States USA People using safely managed drinking water services, rural (% of rural population) SH.H2O.SMDW.RU.ZS
United States USA Probability of dying among adolescents ages 10-14 years (per 1,000) SH.DYN.1014 1.3 1.3 1.3 1.3 1.2 1.2 1.2 1.1 1.1 1.1 1 1 1 0.9 0.9 0.9 0.9 0.8 0.8 0.8 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.8 0.8
United States USA Prevalence of anemia among women of reproductive age (% of women ages 15-49) SH.ANM.ALLW.ZS 12.1 11.1 10.3 9.6 9.1 8.7 8.4 8.1 7.9 7.7 7.7 7.7 7.8 7.9 8.1 8.4 8.8 9.1 9.5 9.8 10.2 10.5 10.9 11.3 11.8 12.4 13.3
United States USA Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) SG.DMK.ALLD.FN.ZS
United States USA School enrollment, tertiary (% gross) SE.TER.ENRR 47.3160209655762 48.1896514892578 48.6753616333008 49.049690246582 51.0904312133789 54.7660217285156 52.9422607421875 53.4084510803223 52.6435317993164 53.6192016601563 55.7370300292969 57.0089416503906 57.5830307006836 58.4033813476563 58.259708404541 59.4338684082031 62.0951614379883 64.8080825805664 67.5728225708008 71.251220703125 73.1438980102539 77.7397384643555 79.3760223388672 79.0566635131836 79.1659774780273 78.7965087890625 71.8154830932617 72.7102279663086 67.8024291992188 68.0972900390625 77.9075927734375 80.1558990478516 81.1555709838867 80.6348266601563 83.0776977539063 83.7085494995117 85.0100479125977 87.6219863891602 92.6219482421875 93.9065780639648 93.1754913330078 88.7264175415039 88.6268692016602 88.8894119262695 88.8350524902344 88.1673889160156 88.2991790771484
United States USA Adolescents out of school, female (% of female lower secondary school age) SE.SEC.UNER.LO.FE.ZS 1.45611000061035
United States USA School enrollment, secondary, private (% of total secondary) SE.SEC.PRIV.ZS 9.63580989837646 9.65194988250732 9.65264987945557 9.65114974975586 8.80918979644775 9.15338039398193 8.8102502822876 8.22465038299561 8.76461982727051 8.77807998657227 8.92714023590088 8.42838001251221 8.27054977416992 8.21809959411621 8.09158039093018 7.91138982772827 8.14797019958496 8.86135959625244 8.95263004302979 8.94999027252197
United States USA Secondary education, duration (years) SE.SEC.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
United States USA Children out of school, primary, male SE.PRM.UNER.MA 104076 299707 518498 312185 284204 214356 36772 64864
United States USA Persistence to last grade of primary, male (% of cohort) SE.PRM.PRSL.MA.ZS
United States USA Gross intake ratio in first grade of primary education, male (% of relevant age group) SE.PRM.GINT.MA.ZS 109.49924 104.46578 100.52597 104.9813 102.58933 102.2777 101.793
United States USA Trained teachers in preprimary education (% of total teachers) SE.PRE.TCAQ.ZS
United States USA Literacy rate, youth total (% of people ages 15-24) SE.ADT.1524.LT.ZS
United States USA Coverage of social safety net programs in 2nd quintile (% of population) per_sa_allsa.cov_q2_tot
United States USA PPP conversion factor, private consumption (LCU per international $) PA.NUS.PRVT.PP 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
United States USA Gross savings (% of GNI) NY.GNS.ICTR.GN.ZS 21.5383312282021 21.5137506599732 22.0846898923629 23.6783513333818 22.5657632138029 20.9196024585736 21.5083095181169 22.1991962240777 23.4458622145357 23.6380738749339 22.2769844628924 23.3922756775226 21.6053161727543 19.901399160194 21.9352665927964 20.497652708515 19.2213721359405 19.7238571775887 20.554297650365 19.898877907738 18.9494247148141 18.9993849181941 17.9146702439247 17.359273440962 18.1432923338388 18.9088201749748 19.7045044144806 20.8037367095776 21.2076901622074 20.8230187482055 20.5786307383411 19.3948849508117 18.2159471519066 17.3879132731347 17.6791304328054 18.0945779942477 18.9739106880525 17.5205745414219 15.3881187927327 14.0665398589929 15.4158967274897 16.2714711852871 18.3419591712405 18.8702564488913 19.8551415426586 19.7694307683087 18.396433866361 18.3454270457241 18.3893035903275 18.4907630921695
United States USA GNI (current LCU) NY.GNP.MKTP.CN 546400000000 566800000000 609200000000 643100000000 690700000000 749000000000 820100000000 867100000000 948600000000 1026000000000 1074359000000 1162926000000 1280507000000 1431848000000 1553300000000 1684554000000 1869603000000 2082670000000 2349856000000 2614202000000 2847055000000 3201886000000 3371448000000 3614168000000 4032292000000 4310074000000 4516535000000 4828878000000 5256093000000 5598381000000 5902290000000 6096750000000 6435469000000 6733768000000 7170251000000 7574691000000 8045907000000 8589268000000 9135464000000 9689354000000 10383859000000 10743709000000 11054325000000 11530268000000 12313988000000 13169702000000 14072966000000 14543216000000 14684602000000 14398708000000 15126736000000 15832207000000 16670651000000 17175898000000 18057489000000 18704317000000 19045164000000 19830277000000 20837347000000 21690012900000
United States USA Natural gas rents (% of GDP) NY.GDP.NGAS.RT.ZS 0.00824261368069555 0.0167005075171298 0.039253468914585 0.111653778107206 0.943005642623488 0.763946631463199 0.745575363787596 0.733794780246652 0.641821899922753 1.66473542661278 1.62472354345615 0.937400963454893 0.174892083498836 0.504284433616347 0.52574390958202 0.414417097502408 0.113446750486455 0.276997006276778 0.190151032574836 0.190041153874584 0.176719339220164 0.149652591849998 0.212746577067817 0.286045694259653 0.223117107262299 0.138067946724861 0.265684259864741 0.232180593432029 0.158755192383857 0.20528340509197 0.430387651247575 0.426737226788394 0.216628424791818 0.36676595159492 0.508471792772472 0.540489872233473 0.386284136804342 0.325099626600514 0.496327124114412 0.0523859471474324 0 0 0 0 0.00703966301121812 0 0 0 0.0259821494914246
United States USA Discrepancy in expenditure estimate of GDP (current LCU) NY.GDP.DISC.CN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2457000 1202000 1202000 -1536000 -601000 1054000 -2122000 -853000 3230000 2414000 -1344000 -916000 1025000 727000 -896000 349000 -1804000 -94305000 -13596560000 -30114462000 -23626308000 -31701224000 0
United States USA Adjusted net national income (current US$) NY.ADJ.NNTY.CD 932715202247.603 1008983469720.6 1113873912223.74 1245028732668.59 1310882048901.51 1413012649303.32 1574179146449.71 1752330980954.04 1980991219645.32 2147974399000.64 2304235419329.7 2627708904282.61 2789016511352.21 2985173615520.29 3364933198800.25 3606539097198.45 3804803498132.37 4055010207881.33 4437308610052.15 4719845819061.19 4964436314665.04 5128169864676.95 5435201258104.92 5690579970354.46 6080663632312.71 6420680093761.64 6825118295945.27 7314706323014.72 7805394935641.1 8258554996395.29 8807795697929.42 9089561460206.96 9360381815941.92 9756201659900.12 10410239944392.7 11102727248592.8 11863212898703.1 12207070739933.7 12184483895034.9 11977784015359.8 12683140922544.5 13283515638902.7 14039650337679.7 14433178496414.9 15187693719412 15775141916218.7 16029187051703.5 16674696281705 17476896721783.3
United States USA Adjusted savings: carbon dioxide damage (current US$) NY.ADJ.DCO2.CD 7180183630.92683 7820502405.87747 8804863558.40803 9996070708.29091 10818491722.6265 11666417180.1625 13272632972.7313 14926874693.5369 16971654145.3091 18973441140.6863 20531629208.209 22230100665.6997 23083926333.4381 24909252714.978 27398328393.3666 29225683277.5341 30728562885.0972 33824741758.6478 37639006316.4244 40803139469.6115 42441797791.0716 45169440199.3682 48460164807.6436 52336544352.2133 55776862236.3717 59098836212.2737 63425776215.1779 67930452405.423 71181503054.8646 75802950615.3848 82563318586.9879 85411360018.8249 90092110955.4885 95094402672.5389 102008549209.143 108975042078.048 113794658323.43 122295181685.428 124534079531.033 121176334237.512 129433174115.285 132935693084.597 134570298300.203 143492090885.152 152196485271.845 155452127836.113 158058664927.686 164792466829.43 173786235078.31
United States USA Industry (including construction), value added (% of GDP) NV.IND.TOTL.ZS 23.1321011361316 22.6705577802122 22.5499937953293 22.4543862190713 21.4739916723102 20.6412607714986 20.7393072909074 20.96034469234 21.223491223091 21.5938538450445 21.4461294271878 20.860737478607 19.324003503712 19.3552915457272 19.4169009561953 19.1559852455803 19.2582012817269 19.328829963324 18.5291207937965 17.9817052895567 18.3439378552145 18.6386016520302
United States USA Agriculture, forestry, and fishing, value added (constant LCU) NV.AGR.TOTL.KN 123632076000 126917297000 142568909000 162252806000 156124775000 146279019000 160446144000 167400710000 187753526000 177793794000 152169085000 151906878000 170180529000 165636823000 154853118000 148989617000 173094364000 175514462000 189111195000 201506624000 196885101000 195990269000
United States USA Imports of goods and services (current US$) NE.IMP.GNFS.CD 55760000000 62342000000 74216000000 91159000000 127465000000 122730000000 151146000000 182443000000 212250000000 252674000000 293828000000 317758000000 303184000000 328638000000 405107000000 417229000000 452867000000 508713000000 553993000000 591031000000 629727000000 623544000000 667791000000 719973000000 813424000000 902572000000 963966000000 1055774000000 1115690000000 1248612000000 1471305000000 1392565000000 1424143000000 1539304000000 1796706000000 2026418000000 2243538000000 2379280000000 2560143000000 1978447000000 2360183000000 2682456000000 2759851000000 2764210000000 2879362000000 2792433000000 2739686000000 2930093000000 3138164000000 3125221000000
United States USA Gross fixed capital formation, private sector (% of GDP) NE.GDI.FPRV.ZS 15.3138229339223 14.8411148588674 15.0223103619236 15.2990917632321 15.6459609215515 16.1893236520102 16.0245398773006 15.4113960775212 15.6923076923077 17.0212765957447 15.8482739729601 16.8948791689917 17.8327118074286 18.7248838201289 17.7641963108715 15.2708997070456 17.2519445802632 19.0505834781581 20.3436045005973 20.5417354626401 18.5524341626574 19.6816879853772 17.3754982745622 17.542469286232 20.3115058327779 19.1197053500374 18.5407950989938 18.3761172265286 17.8938431047976 17.7202131317822 16.6606743020125 15.3342029697657 15.5360306315926 16.1375006032608 17.2424771202689 17.2453309657163 17.7391100989184 18.6020387046084 19.1474656262778 19.5645903592891 19.8374119087332 18.2255958334569 17.6017395684553 17.698174533478 18.6404985127676 19.3845956888848 19.4040926644048 18.2931487425142 16.4808380089947 12.9981916086845 14.0127575473141 14.4113772674704 15.3065313028525 15.7761322075568
United States USA Final consumption expenditure (annual % growth) NE.CON.TOTL.KD.ZG 2.94884593796422 4.77901877960478 3.62368581226333 -0.18370815234897 2.30595575649524 4.32539311024031 3.69937770733122 3.82813658630083 2.04443610465508 0.0554383291115954 1.43105847084675 1.64466129919577 5.10461257425663 4.47852729063796 5.10251459005102 4.22156071633131 3.10275542247329 3.73545116591336 2.94714153325346 2.15849146081619 0.493232329923131 3.06241737044419 2.77680265165439 3.22066327646284 2.43989310136101 2.90494998509172 3.41266359632506 4.6873390315784 4.81467315163509 4.44810123931718 2.6929242055494 2.79794638967444 2.93047259446224 3.34145416723013 3.05626991864602 2.72363269275672 2.10777714954706 0.26801675103718 -0.2283273004373 1.42312426513402 0.914976052951303 0.938089888228944 0.827743140819635 2.27514623092743 3.4028907109055 2.59067792124164 2.27273234157899 2.50977627214522 2.30717791822872
United States USA General government final consumption expenditure (constant LCU) NE.CON.GOVT.KN 1380524480000 1381695368000 1386702829000 1374826227000 1404521925000 1438799496000 1438818365000 1464374548000 1490424454000 1501830395000 1524329899000 1548748738000 1584836627000 1632773863000 1657251404000 1736944137000 1816644208000 1852205878000 1888974077000 1947065651000 2000486251000 2035386479000 2048620557000 2047486357000 2058063137000 2063645035000 2072928282000 2111023557000 2150554927000 2209421153000 2243358045000 2322008824000 2411225901000 2455566612000 2493474252000 2514388812000 2545101307000 2585811950000 2647142598000 2756665204000 2759691484000 2676393840000 2637359338000 2587344483000 2567227636000 2607628000000 2653314657000 2668265758000 2709583335000 2758088719000
United States USA Logistics performance index: Competence and quality of logistics services (1=low to 5=high) LP.LPI.LOGS.XQ 3.85 3.92 3.96 3.970199 4.014226 3.87
United States USA Internally displaced persons, new displacement associated with disasters (number of cases) VC.IDP.NWDS 2020000 1300 52000 901000 188000 34000 63000 1107000 1686000 1247000 916000
United States USA Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) TX.VAL.MRCH.R3.ZS 16.0896031166301 15.4014981630803 14.3412287194671 13.2459720730397 13.7177163570458 12.9900492423689 13.1869071581745 12.4075611348039 12.829310913478 12.1252831779148 12.5894286745583 12.4485191175871 12.7058469259724 12.2452179586077 14.3466835433281 14.23547982729 13.0910907432344 13.1154201140521 13.5136356682938 13.8865240436108 15.575860180252 15.934688921572 13.5773697167684 10.8162797305988 11.6319415774457 12.6714879327649 12.4089115377186 12.1608602626823 12.2884970339288 11.9946499205052 12.2739043089247 13.6098276042013 15.4315262234049 15.2978590408108 16.6075629579447 14.9849147800851 16.0259016930534 17.9674892505718 19.3226817061021 19.2407711137779 20.3860275310271 20.5699523683152 20.2281844342991 19.3085582598316 19.6966245624864 19.5976923791452 19.7198333638704 19.0396666351306 19.9168538288773 20.266437066543 21.3184212792272 22.2751542500405 23.1253970198603 23.309502895092 23.6376934984079 23.4671766722718 23.148986393066 23.3128880777169 23.6035325004206 23.2217198120796
United States USA Medium and high-tech exports (% manufactured exports) TX.MNF.TECH.ZS.UN 72.5056394235046 72.9741820714649 73.0242884826394 73.2756129699005 73.3010316293647 72.4158313947647 73.6141400375644 74.6344521445232 75.750539682494 76.0614419558418 75.5174158461501 75.3843108535948 74.9780208176441 74.2020883831389 71.6277576553266 70.3949723498798 72.2286638887011 71.5893525887486 68.9611343124506 66.4230414796233 64.7454478093485 62.1976553784006 62.5332638786654 61.741481046469 62.3570697914254 65.2874472337768 65.7437305439928 63.5664067191096 62.3073495760536
United States USA Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) TM.VAL.MRCH.OR.ZS 33.7264311377986 32.350399654353 30.7198009461904 29.8749925169661 29.7004258286227 26.7687634476648 24.9564555738669 23.1429336691213 20.7769950196978 19.2276743513824 19.1181120805762 18.0087027702383 17.7550263747746 19.807480555563 27.9071267040243 28.7817961257061 29.0764157792836 30.7057422977917 28.281972182213 31.2071996726604 31.84642912712 28.4147184342465 26.116173522824 25.6244280691615 23.1806365962236 21.3918972348408 18.6096193140575 19.7233297572592 19.9856019348216 22.3248029221641 24.102828936934 24.3353746291602 26.1473594301928 27.4585406301824 28.5816885758136 29.9574624813898 31.7857518408111 33.2960466800859 33.8377229427973 34.3624961849535 35.9375328083989 36.6130642195616 38.3185352749894 39.9020998843187 41.8746484689964 44.0086869188278 45.98758336807 46.7418595313747 47.9780146722746 49.9211945845831 51.2304483466455 50.6381484953917 49.9338522826378 49.6658560658535 49.3084919570384 50.2978713885692 50.7041276651988 51.5410027504941 51.2667145879429 49.3189490160503
United States USA Tariff rate, applied, simple mean, primary products (%) TM.TAX.TCOM.SM.AR.ZS 2.89 2.81 2.79 2.81 2.65 3.04 3.25 3.41 3.7 3.15 3.1 3.21 3.31 3.01 2.89 2.7 2.67 2.92 2.54 2.54 2.45 2.63 2.53 2.49 2.53 2.43 2.44 6.64 5.96 39.52
United States USA Tariff rate, applied, simple mean, manufactured products (%) TM.TAX.MANF.SM.AR.ZS 5.78 5.68 5.8 5.72 5.59 4.89 4.67 4.53 4.64 4.01 4.02 3.94 4.11 3.63 3.4 3.33 3.23 3.04 3.21 3.09 3.07 3.11 3.09 2.96 3.02 2.88 2.83 2.77 2.77 3.11
United States USA Unmet need for contraception (% of married women ages 15-49) SP.UWT.TFRT 4 6 6.3 5.8 5.8 8 9 9
United States USA Population, female SP.POP.TOTL.FE.IN 91157654 92714569 94180305 95575715 96951949 98225088 99437061 100611313 101711678 102793272 104063613 105431729 106592521 107632675 108644597 109760877 110868770 112064477 113336721 114660067 115807153 116961245 118069136 119129099 120145925 121213526 122359414 123494563 124661002 125869265 127297431 128977075 130719657 132378008 133928126 135451850 136961367 138548214 140104345 141656845 143178430 144541124 145830133 147035365 148355637 149690393 151111214 152533798 153964934 155298019 156557560 157646543 158746400 159786318 160903303 162043308 163180025 164193686 165042573 165821641
United States USA Population ages 65 and above, total SP.POP.65UP.TO 16469470 16882494 17267191 17639127 18015736 18381970 18824615 19265651 19702049 20139474 20609397 21179312 21688757 22176544 22666524 23174881 23744757 24337106 24966992 25628460 26259352 26815022 27333506 27835128 28337790 28864148 29416870 29949299 30472834 30983699 31521853 32055870 32565002 33016326 33396145 33717480 33973228 34207019 34407301 34600178 34801176 35090876 35353639 35618525 35964061 36383151 36942166 37569159 38300984 39152172 40155435 41282103 42559976 43939066 45414232 46950237 48549959 50110709 51641630 53206334
United States USA Population ages 40-44, female (% of female population) SP.POP.4044.FE.5Y 6.3979164073169 6.38452609507546 6.39680288851095 6.41407534897315 6.40900308315536 6.36738473363401 6.29816906517611 6.20177947527437 6.08334278798726 5.95125315548529 5.81179866547898 5.6580797580544 5.49552920300515 5.33874997909299 5.20573858302005 5.10667278160024 5.03583727051939 5.00216283678576 5.00722858598708 5.04736014137604 5.11638201969315 5.20512995336984 5.32402669928166 5.47559085506532 5.65854737708232 5.8646295209647 6.07024617930038 6.30705715767547 6.56522284823657 6.81665123145098 7.0337751863648 7.16660546425659 7.26059315726298 7.33905174082808 7.42657345014929 7.52916027560713 7.61891270949459 7.70553888364002 7.77854090540285 7.82146436270777 7.82631671869513 7.81840085564477 7.77679873516806 7.7046843807375 7.60598683373142 7.48416862490098 7.32257899885215 7.1408470147188 6.95312748524104 6.77845660875768 6.62963615110864 6.50524792247311 6.41128534997116 6.34026504094573 6.28043451636799 6.22518290510998 6.17739573084819 6.13414209844066 6.10017496012686 6.08282968281173
United States USA Population ages 15-19, female (% of female population) SP.POP.1519.FE.5Y 7.18072423079477 7.4349567056676 7.71896423137028 7.99991483969421 8.24316550651812 8.43553866471446 8.60655976055538 8.73393398234701 8.82767126844721 8.91037672166332 8.99589163644102 9.10555634942838 9.20690466444488 9.28748825135643 9.33039952516942 9.32644039023378 9.28484487049289 9.20817467664042 9.09100318664689 8.92956238823062 8.72647413596756 8.50008236824152 8.2431515961224 7.97383488342307 7.71733672499131 7.48852815202295 7.28914183357559 7.12654337444836 6.99361994995955 6.88097156630212 6.78412549098569 6.69038793687166 6.62238239932692 6.58355420034622 6.57399256168302 6.58934961817338 6.60931513219511 6.64337823742735 6.68946757398343 6.74099001725175 6.792866585464 6.85355398674478 6.90405283408303 6.945211728307 6.9801002399868 7.00924075653308 7.00012045352596 6.99526675614816 6.98538632063981 6.95663756852088 6.90507186742216 6.86137500162216 6.78137528596211 6.67511671237332 6.56339347285858 6.46058215673327 6.40192399159305 6.35095695993179 6.30565568050364 6.26413292247172
United States USA Female headed households (% of households with a female head) SP.HOU.FEMA.ZS
United States USA Mortality rate, adult, female (per 1,000 female adults) SP.DYN.AMRT.FE 130.63 126.608 128.623 130.297 129.095 128.619 128.744 127.484 130.822 128.864 128.466 125.887 124.305 122.92 117.149 112.933 110.078 107.656 105.872 102.067 102.561 100.866 97.53 97.093 96.122 95.529 94.575 94.286 94.402 92.515 90.868 90.652 88.984 90.066 89.515 89.372 87.123 85.4 83.564 83.804 83.359 84.172 83.72 83.557 81.47 81.507 80.928 79.447 78.705 79.055 77.159 77.926 77.707 78.073 79.352 80.389 82.066 81.935
United States USA Unemployment, total (% of total labor force) (national estimate) SL.UEM.TOTL.NE.ZS 5.5 6.69999980926514 5.5 5.69999980926514 5.19999980926514 4.5 3.79999995231628 3.79999995231628 3.59999990463257 3.5 4.90000009536743 5.90000009536743 5.59999990463257 4.90000009536743 5.59999990463257 8.5 7.69999980926514 7.09999990463257 6.09999990463257 5.80000019073486 7.09999990463257 7.59999990463257 9.69999980926514 9.60000038146973 7.5 7.19999980926514 7 6.19999980926514 5.5 5.30000019073486 5.59999990463257 6.80000019073486 7.5 6.90000009536743 6.11999988555908 5.65000009536743 5.44999980926514 5 4.51000022888184 4.21999979019165 3.99000000953674 4.73000001907349 5.78000020980835 5.98999977111816 5.53000020980835 5.07999992370605 4.61999988555908 4.61999988555908 5.78000020980835 9.25 9.63000011444092 8.94999980926514 8.06999969482422 7.36999988555908 6.17000007629395 5.28000020980835 4.86999988555908 4.3600001335144 3.90000009536743 3.67000007629395 8.05000019073486
United States USA Unemployment with advanced education, female (% of female labor force with advanced education) SL.UEM.ADVN.FE.ZS 3.17000007629395 3.03999996185303 2.85999989509583 2.46000003814697 2.27999997138977 2.15000009536743 2.08999991416931 2.58999991416931 3.17000007629395 3.25 3.05999994277954 2.78999996185303 2.51999998092651 2.5 3.09999990463257 5.03000020980835 5.26000022888184 5.17000007629395 4.98999977111816 4.44999980926514 3.8199999332428 3.15000009536743 2.96000003814697 2.78999996185303 2.48000001907349 2.41000008583069 5.96000003814697
United States USA Labor force participation rate, total (% of total population ages 15+) (national estimate) SL.TLF.CACT.NE.ZS 59.4000015258789 59.2999992370605 58.7999992370605 58.7000007629395 58.7000007629395 58.9000015258789 59.2000007629395 59.5999984741211 59.5999984741211 60.0999984741211 60.4000015258789 60.2000007629395 60.4000015258789 60.7999992370605 61.2999992370605 61.2000007629395 61.5999984741211 62.2999992370605 63.2000007629395 63.7000007629395 63.7999992370605 63.9000015258789 64 64 64.4000015258789 64.8000030517578 65.3000030517578 65.5999984741211 65.9000015258789 66.5 66.5 66.1999969482422 66.4000015258789 66.3000030517578 66.6600036621094 66.7200012207031 66.870002746582 67.1999969482422 67.0899963378906 67.0800018310547 67.0699996948242 66.8199996948242 66.5800018310547 66.2399978637695 65.9899978637695 66.0500030517578 66.1800003051758 66.0400009155273 65.9899978637695 65.370002746582 64.7099990844727 64.1100006103516 63.7000007629395 63.25 62.8899993896484 62.6500015258789 62.7900009155273 62.8499984741211 62.8699989318848 63.0999984741211 61.75
United States USA Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) SL.TLF.ACTI.1524.ZS 64.4700012207031 62.8400001525879 62.7099990844727 62.6500015258789 63.5099983215332 63.5299987792969 63.0099983215332 62.9199981689453 63.0999984741211 62.6500015258789 62.6300010681152 61.0299987792969 59.4099998474121 57.5900001525879 57 56.7900009155273 56.8600006103516 55.6199989318848 54.9099998474121 52.8800010681152 50.9300003051758 50.6100006103516 51.6599998474121 51.0800018310547 51.1199989318848 51.2999992370605 51.7200012207031 52.2200012207031 51.8699989318848 52.3699989318848
United States USA Average working hours of children, study and work, male, ages 7-14 (hours per week) SL.TLF.0714.SW.MA.TM
United States USA Child employment in manufacturing, female (% of female economically active children ages 7-14) SL.MNF.0714.FE.ZS
United States USA Vulnerable employment, female (% of female employment) (modeled ILO estimate) SL.EMP.VULN.FE.ZS 4.6399998664856 4.33999991416931 4.33000010251999 4.69999976456165 4.61999982595443 4.56999988853931 4.49000018835067 4.24999991059303 4.10000005364418 4.15000022947789 4.11000002920628 4.00000011175871 4.06000006198883 4.05000006407499 3.94999992102384 3.96999989449978 3.89999997615814 3.72999988496303 3.80000002682209 3.78000006824732 3.73000011593104 3.80000004172325 3.78000004589558 3.65999992191791 3.59999999403954 3.54000003635883 3.60999996215105 3.54000003635883 3.47000009566545
United States USA Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) SL.EMP.1524.SP.MA.ZS 57.3499984741211 56.5099983215332 57.0200004577637 58.2099990844727 58.7700004577637 57.689998626709 57.7999992370605 58.3199996948242 58.4500007629395 58.9199981689453 56.1199989318848 53.5 51.5900001525879 51.5699996948242 51.3199996948242 52.5800018310547 50.8699989318848 48.7400016784668 43.4799995422363 41.5099983215332 42.2999992370605 43.7799987792969 43.6100006103516 44.8499984741211 45.810001373291 46.9500007629395 47.7999992370605 47.4799995422363 48.1300010681152
United States USA Poverty gap at $5.50 a day (2011 PPP) (%) SI.POV.UMIC.GP 0.9 0.7 0.7 0.7 0.8 0.8 0.8 1.1 1.1 1.2 1.1 1.2
United States USA Income share held by lowest 20% SI.DST.FRST.20 6.2 6.5 5.6 5.6 5.4 5.4 5.5 5.3 5.2 5.3 5.3 5.2
United States USA Domestic general government health expenditure (% of general government expenditure) SH.XPD.GHED.GE.ZS 16.15895844 16.76153755 17.22072601 17.50627327 17.92598534 17.93762779 18.57003403 18.49967003 18.21088409 18.21194649 18.41686821 18.86833572 19.65458298 20.34754562 21.47814751 22.33287811 22.45356369 22.49492645 22.50150681
United States USA Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) SH.UHC.NOP2.ZG 0.0228587974561378 0.0220499219722115 0.0270821328740567 0.0245185277890414 0.00131631386466324 0.000639160862192512 0 2.91038304567337E-09 0.000284436100628227 0.000898508005775511 0 0.000771289342083037 0.000471771636512131 0.000668977736495435 0.0010002579074353 0.00061064783949405 0.0531731740920804 0
United States USA Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) SH.STA.WASH.P5 0.2
United States USA Prevalence of overweight, weight for height, female (% of children under 5) SH.STA.OWGH.FE.ZS
United States USA Low-birthweight babies (% of births) SH.STA.BRTW.ZS 7.49648089999999 7.7089558 7.87589309999999 8.0019436 8.09177299999999 8.15003399999999 8.18139359999999 8.1905003 8.18201919999999 8.1606035 8.13091949999999 8.09761619999999 8.0653591 8.0388079 8.02261449999999 8.0214396
United States USA Prevalence of current tobacco use (% of adults) SH.PRV.SMOK 29.1 27.9 27.2 26.4 25.7 25.1
United States USA Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) SH.HIV.PMTC.ZS
United States USA People using at least basic drinking water services, urban (% of urban population) SH.H2O.BASW.UR.ZS 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427 99.7713080995427
United States USA Number of neonatal deaths SH.DTH.NMRT 54254 51823 49072 45802 42630 40057 37922 35779 33490 31415 29875 28826 28085 27487 26974 26503 26017 25489 24881 24216 23502 22777 22089 21462 20880 20312 19772 19305 18925 18645 18459 18384 18456 18634 18778 18760 18574 18277 17920 17520 17096 16696 16373 16134 15892 15561 15201 14929 14781 14681 14546
United States USA Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) SH.ALC.PCAP.LI 9.19 9.49 9.36 9.82 9.87
United States USA Government expenditure on education, total (% of government expenditure) SE.XPD.TOTL.GB.ZS
United States USA Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) SE.TER.CUAT.ST.ZS 45.2398109436035 36.1269989013672 36.2299385070801 37.3678512573242 38.2589111328125 38.6207695007324 39.1374206542969 39.944938659668 40.6632308959961 41.5046691894531 41.8897018432617 42.3375091552734 43.5118789672852 45.167911529541
United States USA Secondary education, teachers, female SE.SEC.TCHR.FE 734456 745895 761518 775294 814138 1016414.1875 1030211 1061834
United States USA School enrollment, secondary, female (% net) SE.SEC.NENR.FE 90.70646 89.18024 90.47964 90.32571 90.09343 91.08553 92.66306 92.17723 93.03496
United States USA Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.UP.MA.ZS 64.469367980957 77.0802993774414 84.8482437133789 84.9267272949219 85.0126800537109 85.9538269042969 86.2532730102539 86.6000900268555 87.1022109985352 87.2910919189453 87.637092590332 87.7244033813477 88.0365524291992 88.5458297729492 89.4244232177734
United States USA Children out of school, primary, female SE.PRM.UNER.FE 31482 275425 368960 360231 327310 231900 52078 76669
United States USA Persistence to grade 5, total (% of cohort) SE.PRM.PRS5.ZS 89.7451019287109
United States USA School enrollment, primary, male (% gross) SE.PRM.ENRR.MA 97.5974807739258 99.8534469604492 99.2683868408203 97.4712905883789 97.4733505249023 99.2789535522461 101.390419006348 106.327697753906 106.257202148438 104.901733398438 103.605949401855 104.635932922363 104.188110351563 101.297286987305 100.578079223633 101.49543762207 101.408340454102 99.4338607788086 101.000328063965 101.495239257813 102.411376953125 101.825073242188 103.244697570801 103.150901794434 102.025772094727 100.826667785645 99.1939010620117 99.9083786010742 99.859748840332 99.8374404907227 100.312042236328 101.445777893066 102.204460144043 101.314239501953
United States USA Trained teachers in preprimary education, female (% of female teachers) SE.PRE.TCAQ.FE.ZS
United States USA Literacy rate, youth (ages 15-24), gender parity index (GPI) SE.ADT.1524.LT.FM.ZS
United States USA Coverage of social safety net programs (% of population) per_sa_allsa.cov_pop_tot
United States USA PPP conversion factor, GDP (LCU per international $) PA.NUS.PPP 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
United States USA Gross savings (current US$) NY.GNS.ICTR.CD 231399000000 250189000000 282796000000 339038000000 350514000000 352402000000 402120000000 462336000000 550944000000 617947000000 634238000000 748994000000 728412000000 719270000000 884494000000 883464000000 868140000000 952441000000 1080353000000 1114015000000 1118450000000 1158345000000 1152893050000 1168933200000 1300919600000 1432284700000 1585406100000 1786888700000 1937420900000 2017616000000 2136856000000 2083730000000 2013650000000 2004873000000 2177006000000 2383002000000 2670192000000 2548055000000 2259684000000 2025400000000 2331922000000 2576133000000 3057724000000 3241136000000 3585340000000 3697737000000 3503631000000 3637949000000 3831843000000 4010648900000
United States USA GNI, Atlas method (current US$) NY.GNP.ATLS.CD 612178550047.646 646233886826.649 692328219512.945 753294530375.941 824183577234.192 868295290971.962 952033980993.25 1027990251284.03 1072619976579.18 1167573338339.98 1317546931191.81 1544667461249.05 1707501160084.86 1837615623029.7 1954015498715.55 2112844745094.81 2395599984825.3 2745654305344.4 3041382280050.64 3295800708286.54 3293708695230.31 3405705903510.19 3821673278255.45 4154713731046.27 4588118371755.06 5183368830705.71 5744111332117.75 5866294509761.9 6006223905840 6140656037278.74 6587044429312.09 6858473972014.01 7276743776296.1 7731975033579.65 8154319971364.25 8526998348186.07 8835770734072.56 9394621239310.74 10147603798457.8 10462204210140.7 10732675433003.8 11536447371149.8 12740511355373.7 13651359825849.6 14285630946659.1 14608317794620.1 14894712327847.6 14643696783204.3 15154198695694.8 15756881924564.8 16560497008076.9 17048936788391.2 17781409349033.6 18197349776610.3 18476295400031.9 19200736793172.6 20637489438262.7 21615817525647.1
United States USA GDP, PPP (current international $) NY.GDP.MKTP.PP.CD 5963144000000 6158129000000 6520327000000 6858559000000 7287236000000 7639749000000 8073122000000 8577554457000 9062818202000 9630664202000 10252345464000 10581821399000 10936419054000 11458243878000 12213729147000 13036640230000 13814611414000 14451858656000 14712844084000 14448933025000 14992052727000 15542581104000 16197007349000 16784849196000 17527163695000 18224704440000 18714960538000 19519353692000.1 20580159776000.1 21433226000000.1
United States USA GDP deflator (base year varies by country) NY.GDP.DEFL.ZS 15.7150838799363 15.9272616972672 16.1254979250227 16.3010055887021 16.5461628798285 16.8638203855665 17.3526651910308 17.8994961485695 18.6812008394852 19.607506025353 20.7009896450271 21.7503552216162 22.6905716020545 23.9339885585431 26.0877337544951 28.5041415949111 30.0728346676637 31.9413682790217 34.188070804475 37.0245159291019 40.3689544764188 44.1887374551717 46.9188150387614 48.7565186736864 50.5155164293628 52.1130420734479 53.1625444499089 54.476984375176 56.3986252824775 58.6096431413958 60.8035981078347 62.8598272360584 64.2923451105678 65.8156109614379 67.2210235228185 68.6305349616155 69.8871812276116 71.0923094899577 71.8924679390084 72.9304539199896 74.5607955553709 76.1962309360939 77.4014747352365 78.8388938057389 80.961404066653 83.4833051301396 86.0096807808467 88.3201406944557 90.0380837524428 90.7244890758212 91.781656675286 93.6988871692119 95.4958903473963 97.1717628016383 98.9692727599237 100 101.035268878765 102.938458710681 105.446041516521 107.493745896589
United States USA Adjusted savings: net national savings (current US$) NY.ADJ.NNAT.CD 94560000027.7562 101262999953.67 121784999945.431 160352000006.918 143620000060.034 113891999990.534 141894000078.343 172504000038.399 223748000009.508 244064999946.927 205805999995.559 261762999877.414 191449000089.996 156646000089.611 286100000185.92 243326999797.952 182844999948.813 222056000080.435 295856999821.798 275756999989.758 229917999718.545 225951999816.861 192646049764.088 165435200005.146 245309600337.659 309903699666.959 410100100349.079 547563344127.958 627683725175.867 618579825303.358 623493226535.059 485462090418.474 354115840399.252 281519318069.749 351198127482.342 403965512436.941 544006628435.713 294494210954.45 -105276853722.179 -349486168607.471 -64430116322.4663 97830142102.2813 474963944985.802 551820288836.425 761169188559.539 775357336314.087 510916093742.644 529678922389.108 533819358397.485
United States USA Adjusted savings: education expenditure (current US$) NY.ADJ.AEDU.CD 80090497144.801 81404820000 88354983000 97365664000 102517800000 117918780000 130872210000 139538890000 155090496000 164694726000 179364465000 204920704000 209029776000 227692584000 254034396000 262914514000 189694470000 309048192000 226011999000 240730383000 259700760000 274353750000 349323660611.655 343422168000 384029458468.469 362776478839.458 385344538876.866 411367856569.784 390127573388.87 414762366922.883 468702296296.234 509995037044.701 526495178810.171 567691040454.137 576479504894.939 585700946782.256 659798734987.655 670087277087.451 692273838721.612 678489273747.797 732280189425.329 799526453500 750512986311.011 756484531352.287 793646466802.622 822075267552.771 837055867417.474 871562445740.23 915824277898.782
United States USA Industry (including construction), value added (annual % growth) NV.IND.TOTL.KD.ZG 3.73868062556895 5.60162212556124 5.0454507938661 -3.49765738139479 0.0691348170218475 2.90105538187169 5.55618382883702 1.56737990378197 4.19624184554471 1.93804207022059 -3.57662913029564 -7.56217296501649 2.07332051346205 0.435181634716542 1.56369933353699 2.51758579988699 2.35049161474086 2.19380103633897 0.378434900288795 2.91981741326641 3.15314180715251
United States USA Agriculture, forestry, and fishing, value added (constant 2010 US$) NV.AGR.TOTL.KD 116655081246.365 119754905620.965 134523241869.696 153096307032.656 147314102467.999 138023977257.193 151391601350.979 157953696626.021 177157931326.992 167760262184.463 143581646027.363 143334236294.565 160576640620.71 156289352000 146114209564.376 140581606637.421 163326037619.136 165609560940.496 178438982269.635 190134893426.854 185774179294.326 184929845824.897
United States USA Gross capital formation (constant LCU) NE.GDI.TOTL.KN 850729174000 897093649000 967219517000 1054147594000 1003246325000 878676859000 1010230394000 1121565903000 1241352810000 1289183577000 1189863572000 1270429768000 1141150333000 1240092877000 1534521970000 1571395992000 1599858020000 1655843609000 1683808924000 1744807281000 1726887205000 1636159628000 1726239092000 1819100777000 1983454033000 2040271281000 2195163120000 2403303953000 2611439601000 2819082684000 2990989313000 2871575719000 2885142547000 3004344596000 3239430355000 3421131273000 3525722254000 3468630206000 3253096732000 2713216215000 2996951956000 3123365174000 3362707741000 3519603027000 3674285395000 3859763000000 3824165502000 3951086841000 4178608857000 4267882586000
United States USA Exports of goods and services (% of GDP) NE.EXP.GNFS.ZS 5.56310752881526 5.40524531055501 5.53846033570217 6.68385043665671 8.19612190445127 8.23227910907684 7.9808926173207 7.6542900319239 7.947060702101 8.7590690791502 9.82645547013324 9.51777369925308 8.46973298853486 7.62226481946529 7.4891030913562 6.98807253964585 7.00925467575881 7.49591933621889 8.49052351999585 8.93879019707245 9.25473206751338 9.66090512231881 9.70891490564814 9.54718039168286 9.89314741556332 10.639223880261 10.7466355642836 11.1197545265553 10.5152611335588 10.3085101834807 10.6927239610622 9.68298331038577 9.13224881991615 9.04306987207242 9.64186274172664 10.0119737675694 10.6598220961005 11.4923141689492 12.4860631262841 10.9488776594284 12.3150580752357 13.5305390136184 13.5289189711659 13.5445244306501 13.5315904003143 12.4329149340103 11.9005006474783 12.1651568872038 12.2870960552449 11.7329561121597
United States USA Final consumption expenditure (current LCU) NE.CON.TOTL.CN 839510000000 908897000000 993651000000 1088700000000 1195366000000 1327272000000 1462173000000 1615144000000 1793022000000 1990125000000 2204317000000 2440992000000 2625786000000 2876998000000 3127068000000 3403470000000 3624267000000 3853172000000 4150467000000 4458186000000 4757180000000 4948306000000 5245942000000 5525024000000 5829066000000 6104333000000 6417484000000 6757318000000 7144856000000 7630960000000 8200138000000 8603027000000 8987727000000 9470095000000 10065348000000 10709823000000 11333686000000 11905251000000 12328725000000 12272811000000 12695979000000 13152863000000 13522794000000 13849216000000 14388171000000 14905109000000 15430817000000 16083058000000 16884571000000 17539657000000
United States USA General government final consumption expenditure (constant 2010 US$) NE.CON.GOVT.KD 1255688862284.67 1256753871302.53 1261308526505.76 1250505880794.49 1277516308915.52 1308694288556.18 1308711451303.73 1331956685140.96 1355650996470.92 1366025541279.85 1386490500061.11 1408701235623.17 1441525833040.42 1485128285735.73 1507392415097.5 1579878835065.32 1652371929485.49 1684717891900.61 1718161281452.51 1770999853691.65 1819589830478.27 1851334162596.74 1863371532877.35 1862339894302.13 1871960256010.48 1877037404044.11 1885481202059.01 1920131665137.48 1956088362565.88 2009631537948.71 2040499644905.39 2112038330840.4 2193187844331.46 2233518992206.85 2267998787410.12 2287022122694.68 2314957402701.07 2351986735923.43 2407771484927.16 2507390375077.22 2510143000000 2434377647526.6 2398872888200.47 2353380687749.03 2335082931288.98 2371830042870.11 2413385427929.21 2426984557301.11 2464565941772.82 2508685166989.06
United States USA Lead time to export, median case (days) LP.EXP.DURS.MD 3.6 2.82 2 2 3 2
United States USA Air transport, freight (million ton-km) IS.AIR.GOOD.MT.K1 5151.2001953125 5540.7998046875 6283 7060.1000976563 7255.3999023438 6999.6000976563 7438.2001953125 7920.6000976563 8406.7998046875 8658.099609375 8615.400390625 8606.900390625 8295.7998046875 9284.5 10293.099609375 9672.2001953125 10619 12023.2001953125 13875.599609375 14651 14791.400390625 14486.2001953125 15617.599609375 16343 19083.80078125 19622.900390625 21676.400390625 25478.80078125 25757.900390625 27292.19921875 30171.975 27924.568 29554.684 34205.554 37450.121 37357.644 39881.895 40617.739 39313.596 35097.670654396 39353.2561 39621.9135350454 39111.3403776909 37113.5589216014 38225.1960889445 37866.224512 38657.919041 41591.551767 42985.299596 42498.262662
United States USA CPIA macroeconomic management rating (1=low to 6=high) IQ.CPA.MACR.XQ
United States USA Patent applications, residents IP.PAT.RESD 62098 62404 63316 59391 61841 63673 65195 68315 75192 82370 90643 87955 92425 99955 107233 123962 106892 119214 134733 149251 164795 177513 184245 188941 189536 207867 221784 241347 231588 224912 241977 247750 268782 287831 285096 288335 295327 293904 285095 285113
United States USA Profit tax (% of commercial profits) IC.TAX.PRFT.CP.ZS 28.2 28.2 28.1 28.1 27.9 27.9 20.7
United States USA Procedures to register property (number) IC.PRP.PROC 4.4 4.4 4.4 4.4 4.4 4.4 4.4
United States USA Firms formally registered when operations started (% of firms) IC.FRM.FREG.ZS
United States USA Power outages in firms in a typical month (number) IC.ELC.OUTG
United States USA Human capital index (HCI), female, lower bound (scale 0-1) HD.HCI.OVRL.LB.FE 0.696040749549866 0.747 0.721519708633423 0.710706532001495
United States USA Compensation of employees (% of expense) GC.XPN.COMP.ZS 18.5627690415532 17.5153867262535 16.6974269894691 14.9088581357069 13.947574864068 13.5383484440088 13.2774454648551 12.6770196330866 11.5398374814739 11.2687974110417 11.1739801895836 10.7535056597398 10.8802731603779 10.4701920678473 10.3705013358479 10.7046840822147 10.6706984853438 10.4238706553045 10.0607503169751 9.82650345928685 9.71580804566191 9.44565091597285 9.16233658778752 8.86228461052994 8.69812886208562 8.54397652661199 8.48775255204281 8.63810239322808 8.66219716593021 9.7535041003075 10.2805793293509 10.8372229345415 10.9377538871803 10.7978415294921 10.6890504686239 10.5746625333467 10.1070007787551 9.89438199541222 10.0122149375133 10.1354063075547 10.2378421699538 10.0493005373853 9.85300680673716 9.70408810680116 9.64132995378104 9.6005503262554 9.47916435766924 9.28024877922892
United States USA Taxes on exports (% of tax revenue) GC.TAX.EXPT.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Net acquisition of financial assets (% of GDP) GC.AST.TOTL.GD.ZS -0.148894458644564 0.0177758578360677 0.118217724896637 0.32621063330106 -0.081649804281045 -0.234382418793628 0.277103344625589 0.209708214492485 0.204953522453632 0.220681906601485 0.361345793707282 0.0443800885951106 0.493251568250174 0.06680614526496 0.297612796193619 0.0346331570733988 0.225804344375928 -0.111958270388451 -0.00299823026445185 3.47437787746219 0.861608949149379 1.8367758239275 -1.0597975902317 0.436255898867407 2.17228701754968 0.18268785844189 1.3000924145577 1.10253825852871 0.796784578291354 1.56942902054951 0.392787348017513
United States USA Risk premium on lending (lending rate minus treasury bill rate, %) FR.INR.RISK 1.87416666666666 2.12416666666667 1.72166666666667 1.34333333333333 0.9475 0.58666666666667 0.74333333333333 1.30166666666666 0.96583333333333 1.26333333333334 1.47333333333333 1.38333333333333 1.17916666666666 0.995 2.9233333333333 2.0375 1.84083333333333 1.56 1.83333333333334 2.6233333333333 3.6508333333333 4.7925 4.1358333333333 2.1741666666667 2.46916666666667 2.44416666666666 2.36 2.3775 2.64333333333333 2.75916666666663 2.4991666666667 3.05416666666666 2.79166666666667 2.98083333333333 2.86833333333333 3.31583333333334 3.24666666666666 3.37166666666667 3.535 3.33666666666667 3.39416666666666 3.47 3.0625 3.10916666666667 2.96666666666667 3.0375 3.23583333333333 3.64 3.6275 3.09 3.11583333333333 3.1925 3.1625 3.19083333333333 3.215 3.2075 3.19416666666667 3.16583333333334 2.965 3.21083333333333
United States USA Claims on other sectors of the domestic economy (annual growth as % of broad money) FM.AST.DOMO.ZG.M3 4.9510815269715 7.47601196730619 8.66791969975214 11.4924287267494 11.0301127839118 11.0295175295843 10.1047391786819 -4.95270877128892 -2.60307936063276 -1.11186750031789 3.24233198730094 6.09197110636126 5.18587711074696 4.2840262858118 3.61864102025838 4.73070308133032 2.84044533273759 4.381393258836
United States USA Terrestrial protected areas (% of total land area) ER.LND.PTLD.ZS 12.97 12.9938720224773 12.9938720224773
United States USA Population in urban agglomerations of more than 1 million EN.URB.MCTY 69978587 71357652 72774562 74228631 75723200 77253309 78826568 80442305 82104310 83807175 85290017 85993398 86720408 87468789 88242400 89041091 89866913 90717336 91596793 92505147 93466126 94515019 95589276 96688144 97813885 98962536 100139539 101344109 102578758 103839184 105216000 106882401 108589444 110331233 112116197 113943290 115816534 117729566 119691727 121701995 123562801 124843418 126152120 127487866 128853293 130243458 131664843 133116365 134600924 136113194 137660260 139240988 140858582 142507280 144194855 145920115 147686617 149493144 151340879 152587187
United States USA Droughts, floods, extreme temperatures (% of population, average 1990-2009) EN.CLC.MDAT.ZS 0.214155722534503
United States USA Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.AG.KT.CE 0 124198.86655 127541.08257 130822.90098 140018.84452 135426.71811 151481.92532 148934.19776 148967.12348 151746.71554 159073.11604 157104.28744 158373.19246 151216.34832 149738.34148 158052.05292 153341.75606 149178.75924 148235.39917 141236.4805 150322.5278 153074.76794 153382.00925 159152.58082 159708.82684 166383.90959 164068.07877 169339.08534 172190.10512 173874.42161 171846.73703 169044.94835 171906.92911 170253.38632 174733.89971 179194.63355 178976.06619 176503.5003 175053.608693 174287.32239
United States USA CO2 emissions (metric tons per capita) EN.ATM.CO2E.PC 15.9997791565885 15.6812555160569 16.0139374979897 16.4827621458239 16.9681185789701 17.4517252487095 18.1210730107855 18.5983178821611 19.0893891562783 19.85794566231 21.1112522725943 20.9802034758573 21.7486419846019 22.5105821272339 21.5029303777343 20.4022240696754 21.1576153736785 21.5324840060117 21.9730046948357 21.7804369776277 20.7864877412257 19.7667641742132 18.5904952301609 18.5715437097933 18.9767502682074 18.8823127427246 18.7207227161615 19.3503344229412 20.0104134086438 20.0757697786637 19.3227511807806 19.0561631861681 19.1394372782772 19.3470829142925 19.3608920479162 19.2765452647233 19.4960247370023 19.6903631815798 19.5792362010339 19.727169506164 20.1787505069199 19.6365050677187 19.6134040768814 19.5641045293305 19.6583711815214 19.5918852294317 19.0940665201349 19.217897835532 18.4617638680802 17.1577377931966 17.4431109038447 16.9152017650556 16.1934293295892 16.3622241347427 16.4165759129484 15.989866258056 15.502203980958
United States USA GDP per unit of energy use (PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP 3.11383037584344 3.18972175785829 3.31088469240552 3.42269996855106 3.56992232105993 3.69548952938563 3.82023506281277 4.01849819183206 4.21001410065272 4.35599977628079 4.50980796669346 4.74371257647112 4.8478247285738 5.0673970169081 5.29244241057659 5.62222003853661 6.01465592706052 6.18393158689798 6.46127525865819 6.67442602583748 6.76773785972844 7.09571554298132 7.50912778946325 7.69035960361204 7.90870385069669 8.35111843316261
United States USA Access to clean fuels and technologies for cooking (% of population) EG.CFT.ACCS.ZS 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
United States USA Net ODA received (% of gross capital formation) DT.ODA.ODAT.GI.ZS
United States USA Net official flows from UN agencies, UNHCR (current US$) DT.NFL.UNCR.CD
United States USA Net financial flows, IDA (NFL, current US$) DT.NFL.MIDA.CD
United States USA PPG, IBRD (DOD, current US$) DT.DOD.MIBR.CD
United States USA Net bilateral aid flows from DAC donors, United States (current US$) DC.DAC.USAL.CD
United States USA Net bilateral aid flows from DAC donors, Hungary (current US$) DC.DAC.HUNL.CD
United States USA Stocks traded, total value (% of GDP) CM.MKT.TRAD.GD.ZS 27.4523808993086 33.8508898061042 47.6396351583785 59.2551370021719 37.5274470928521 41.5055888598584 34.0776006750801 34.7482522694799 38.8086241686958 50.0748378777525 50.0703434059224 67.7853526339674 86.2800785123772 108.020836783362 135.777155910338 195.373074020092 290.490071804315 197.353355462733 155.927284934852 140.030911986494 156.406970959334 197.84385581683 221.372690722287 296.519474207623 321.117355218756 237.431931306602 240.296501112578 264.084497519119 199.724951856599 198.078952463411 222.378516331875 227.155958036486 224.800527442074 203.827862375926 160.480997375518 108.206523320381
United States USA Charges for the use of intellectual property, receipts (BoP, current US$) BX.GSR.ROYL.CD 2330000000 2550000000 2780000000 3230000000 3830000000 4310000000 4370000000 4920000000 5880000000 6190000000 7080000000 7280000000 5610000000 5780000000 6180000000 6680000000 8114000000 10174000000 12147000000 13820000000 16640000000 17820000000 20841000000 21694000000 26712000000 30289000000 32470000000 33228000000 35626000000 39913000000 43476000000 41004000000 44815000000 47307000000 56943000000 64466000000 70999000000 84497000000 89672000000 85730000000 94968000000 107053000000 107869000000 113824000000 116380000000 111151000000 112981000000 118147000000 118874000000 117401000000
United States USA Net errors and omissions (BoP, current US$) BN.KAC.EOMS.CD -550000000 -11748000000 -2619000000 -4206100000 -5086000000 4638000000 10370000000 -2690000000 11162999999.9961 26341699999.9981 22870000000 23768999999.9998 39152000000 18292000000 18942000000 19780000000 30575000000 -7156000000 -17007000000 52314500000 28113200000 -41538100000 -43775350000 6243000000 -1494400000 30962700000 -9773500000 -77957100000 148091000000 54448000000 -72248000000 -20122000000 -42734000000 -9759000000 98009000000 34221000000 -1483000000 109773000000 -50359000000 146231000000 -7492000000 -61651000000 -30853000000 -56679000000 77271000000 82151000000 37842000000 18768000000 34169000000 90926000000
United States USA Goods imports (BoP, current US$) BM.GSR.MRCH.CD 39860000000 45580000000 55800000000 70500000000 103820000000 98180000000 124230000000 151910000000 176002000000 212007000000 249771000000 265095000000 247664000000 268893000000 332414000000 338082000000 368410000000 409761000000 447188000000 477679000000 498440000000 491017000000 536528000000 589394000000 668690000000 749374000000 803113000000 876794000000 918637000000 1035591000000 1231722000000 1153699000000 1173282000000 1272089000000 1488349000000 1695821000000 1878193000000 1986346000000 2141286000000 1580026000000 1938952000000 2239884000000 2303749000000 2294246000000 2385480000000 2273249000000 2207195000000 2356344000000 2557252000000 2516769000000
United States USA Average precipitation in depth (mm per year) AG.LND.PRCP.MM 715 715 715 715 715 715 715 715 715 715 715 715
United States USA Fertilizer consumption (kilograms per hectare of arable land) AG.CON.FERT.ZS 112.517271082283 119.560809629794 122.670840915621 118.599763800987 126.195688980091 123.269088213491 112.427324588263 108.492812838636 117.124412920896 132.332392999366 132.587411956224 137.899501707246 135.651451555921 137.027278548559 138.594847713652
United States USA Start-up procedures to register a business, female (number) IC.REG.PROC.FE 6 6 6 6 6 6 6
United States USA Cost to import, border compliance (US$) IC.IMP.CSBC.CD 175 175 175 175 175 175
United States USA Firms using banks to finance investment (% of firms) IC.FRM.BNKS.ZS
United States USA Ease of doing business index (1=most business-friendly regulations) IC.BUS.EASE.XQ 6
United States USA Expense (current LCU) GC.XPN.TOTL.CN 227660000000 255090000000 276330000000 328060000000 369670000000 408100000000 449710000000 497120000000 587010000000 673630000000 751120000000 828660000000 866890000000 962160000000 1018080000000 1037770000000 1101240000000 1177010000000 1285590000000 1409250000000 1422630000000 1468930000000 1510750000000 1568670000000 1615060000000 1663160000000 1696680000000 1743670000000 1837640000000 2065137800000 2196173900000 2367852000000 2498649200000 2705415700000 2845736400000 3020461400000 3366526900000 3703838200000 3921837500000 3954549900000 3887245900000 3864359500000 3983994000000 4099034300000 4226555900000 4352908800000 4597052900000 4856418300000
United States USA Other taxes (current LCU) GC.TAX.OTHR.CN 5450000000 4930000000 5060000000 4620000000 5230000000 7340000000 5300000000 5420000000 6410000000 6800000000 8000000000 6060000000 6030000000 6440000000 6980000000 7510000000 7610000000 8770000000 11520000000 11200000000 11210000000 12580000000 15230000000 14760000000 17190000000 19850000000 24080000000 27780000000 29010000000 27951000000 25302000000 21976000000 24615000000 24989000000 27833000000 26471000000 28263000000 20611000000 15079000000 9644000000 14074000000 20872000000 18793000000 20191000000 20052000000 273152000000 22674000000 16177000000
United States USA Net lending (+) / net borrowing (-) (% of GDP) GC.NLD.TOTL.GD.ZS -1.35172111859027 -1.01025974900658 -0.100954995427904 -2.39894973244766 -3.40448337044921 -2.05396608554221 -1.74349453286891 -0.666074431343712 -1.76949834232023 -1.48891096530697 -3.13925310478622 -5.20522900420964 -4.04669788808387 -4.27773446241616 -4.57089228367962 -2.96876657367387 -2.98141599308538 -2.62160600399179 -3.66652222384702 -4.37032092052635 -4.4235511501187 -3.69654908560238 -2.79104450576323 -1.97872992947805 -1.38087842596705 -0.231068191981285 0.800633957150187 1.28682713259033 2.23334261222472 0.013985305026407 -2.84310521080733 -4.07780987186979 -3.82793407625908 -3.03725187636017 -2.10586958461371 -2.44248929083908 -5.26182018636282 -10.210516565115 -10.0317530053201 -8.9791090080967 -7.33007508373638 -4.15454670969687 -3.72681063158177 -3.20652388039496 -3.83121352857859 -2.76623298353008 -4.86185826976351 -5.30661459922085
United States USA Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) FX.OWN.TOTL.MA.ZS 91.9819412231445 92.3612594604492 93.5703430175781
United States USA Broad money growth (annual %) FM.LBL.BMNY.ZG 8.19460579513792 8.93382779986005 9.3171255659845 9.03167020355338 8.62152107267153 4.71990148792604 10.2775161470392 8.77904954077373 0.958344860230048 11.1850629294424 13.955250883956 13.5903930152841 10.1759792214653 7.85072700610933 10.1784316722007 10.2083088148758 12.0348645630564 11.271007866993 9.792314098081 10.6793254282949 12.0644346884282 10.032206871638 8.27125759017351 12.5333214655863 8.29309883710408 9.37545261766202 4.06452029119357 6.79098045293505 5.31736340332442 2.67796315144365 1.50050822184513 -0.153170227029685 0.596428630339938 0.404668958759194 6.86921920992869 7.86548945474707 8.0034975144461 9.6018980689528 9.508532583145 8.11046448534502 7.9327961660052 4.4521933056666 4.40369366436937 5.74204572685685 8.07350612101042 9.00282393246698 11.7134893815654 8.17510450082247 5.51260115427482 -2.75233991566368 6.68335521506315 4.9016933844745 4.50111351356626 5.17839955418545 3.14303976348123 3.84943175924811 4.80195396372877 4.03042002361151 8.39050389299387
United States USA Depositors with commercial banks (per 1,000 adults) FB.CBK.DPTR.P3
United States USA Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) ER.H2O.FWAG.ZS 22.62 34.81 35.13 34.12 36.06
United States USA Mammal species, threatened EN.MAM.THRD.NO 40
United States USA PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) EN.ATM.PM25.MC.T1.ZS 0.00165738402471138 0.00178113858303464 0.0480812007024767 0.0501378437072209 0.0525020167761014 0.0529649149912825 0.0533978423912451 0.0537820740773465 0.016386108728117 0.0515474597732268 0.0164458492829311 0.0164350247258471
United States USA Total greenhouse gas emissions (% change from 1990) EN.ATM.GHGT.ZG -1.01774361815055 0.022895674585155 2.38931822013468 3.89312353209741 3.73532606698381 7.19708068333704 9.58787378321404 9.98880802582294 10.9523151822898 13.5759062341537 11.1657702086841 13.7822753189794 13.9365819637527 18.0599920780216 17.0583270936142 13.9827302175236 16.1806237144203 8.35870085747552 7.62660235966743 9.40754030412803 7.09833507210476 3.38565583699368
United States USA Energy use (kg of oil equivalent per capita) EG.USE.PCAP.KG.OE 5641.74075529554 5612.07950307854 5774.58631485274 5986.78395387916 6136.93822991417 6307.89020241581 6591.34055759056 6809.82048391642 7073.47894930894 7332.36854699843 7569.07659520512 7644.52480244244 7940.99783225979 8163.60379219382 7909.58647956082 7656.2635792437 8100.56222166166 8285.57089797901 8438.40307747602 8327.04170536091 7942.25301793377 7647.53805356785 7259.07889874991 7199.11853271284 7443.32001696173 7456.26290328004 7376.09623833459 7622.17301652159 7849.75397036389 7890.28720236287 7671.7730657832 7631.46780588265 7677.40140109312 7709.49658932206 7757.83082249569 7763.75510556636 7844.46826581141 7828.58109639584 7803.69760452993 7923.22389263188 8056.86384994775 7827.88632537183 7843.34484914192 7794.23553026383 7881.57864206405 7846.49968849973 7697.65253500041 7758.16598577052 7488.08192070473 7056.78365282718 7161.55335526998 7030.55496056877 6873.04927088303 6907.04604045685 6962.54981699587 6806.19993946204
United States USA Electric power transmission and distribution losses (% of output) EG.ELC.LOSS.ZS 9.07051454396076 8.83736319189553 8.57664960244946 8.65528998998597 8.63479027121045 9.02027072349445 9.43214407112472 8.92556439890311 8.90657857345837 8.45015650256538 8.74196605560349 8.56291608449084 8.83897166509374 8.29556109893162 8.32652560752247 8.78786372043995 8.96482015307137 8.65370574264912 8.97574815169126 8.71891452296366 8.77774665062703 7.40727214832517 8.19827192648429 8.44277757815307 6.92972026785049 7.05854353798291 6.52992509822997 5.19301763183763 5.04317291348413 9.91199807154097 9.26323204008476 7.01704205057621 7.26023414073944 7.45105439448979 6.97589394610974 6.99063673464341 6.9061393870144 5.91693852764813 6.00546089582243 5.68816704090573 5.69127036663988 4.41420838791809 6.19946011311845 5.61264365916754 6.41062853175445 6.30520320636269 6.22868572735836 6.17595396764275 5.66698442083546 6.25890221695661 5.99396513336164 5.99837980324201 6.29267851807729 5.9555682447446 5.91138639123014
United States USA Total debt service (% of GNI) DT.TDS.DECT.GN.ZS
United States USA Net official flows from UN agencies, UNWTO (current US$) DT.NFL.UNWT.CD
United States USA PNG, bonds (NFL, current US$) DT.NFL.PNGB.CD
United States USA Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) DT.NFL.DPNG.CD
United States USA Use of IMF credit (DOD, current US$) DT.DOD.DIMF.CD
United States USA Net bilateral aid flows from DAC donors, Norway (current US$) DC.DAC.NORL.CD
United States USA Net bilateral aid flows from DAC donors, Czech Republic (current US$) DC.DAC.CZEL.CD
United States USA Personal transfers, receipts (BoP, current US$) BX.TRF.PWKR.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA ICT service exports (BoP, current US$) BX.GSR.CCIS.CD 300000000 310000000 340000000 500000000 550000000 650000000 770000000 870000000 1000000000 1110000000 950000000 890000000 1190000000 1290000000 1340000000 1460000000 2936000000 2893000000 3592000000 3820000000 4050000000 5470000000 4316000000 4465000000 5196000000 5645900000 6076000000 7408000000 9273100000 12288000000 12215000000 12828000000 12452000000 14060000000 14963000000 15515000000 17184000000 20193000000 23118000000 23817000000 25037000000 29171000000 32511000000 34417000000 34690000000 36578000000 38551000000 42218000000
United States USA Secondary income, other sectors, payments (BoP, current US$) BM.TRF.PRVT.CD 1480000000 1510000000 1570000000 1830000000 1650000000 1640000000 1660000000 1700000000 1970000000 2180000000 2480000000 5900000000 10830000000 11180000000 11980000000 12140000000 13287000000 14413000000 16657000000 17620000000 18810000000 20789000000 22813550000 25338700000 28717600000 32058200000 33550700000 38290000000 45247900000 59242000000 67077000000 82008000000 87382000000 96501000000 109216000000 114490000000 110777000000 124652000000 142078000000 139815000000 145159000000 156389000000 152932000000 163341000000 178203000000 187475000000 201401000000 221114000000 217238000000 232985000000
United States USA Livestock production index (2004-2006 = 100) AG.PRD.LVSK.XD 55.19 55.38 57.24 60.37 59.38 60.58 62.24 62.78 63.13 64.57 66.09 66.25 63.19 66.51 66.1 70.34 70.26 69.36 68.41 70.47 71.92 71.45 73.71 73.45 75.24 76.26 76.54 78.24 78.22 78.8 80.34 82.92 83.13 87 88.71 89.78 90.79 92.26 95.82 97.47 96.85 98.85 99.09 97.93 99.71 102.35 103.09 106.8 104.64 105.98 106.85 106.81 107.87 108.75 108.91 109.7
United States USA Rural land area where elevation is below 5 meters (sq. km) AG.LND.EL5M.RU.K2 91676.45777 91676.45777 91676.45777
United States USA Fixed broadband subscriptions IT.NET.BBND 705900 2754290 7069870 12792800 19881500 27744300 37352500 51156400 60237700 71704000 77130000 79992000 84522000 88317000 92514000 96032000 97810000 102212000 105727000 110513000 116467000 114093000
United States USA Methodology assessment of statistical capacity (scale 0 - 100) IQ.SCI.MTHD
United States USA CPIA financial sector rating (1=low to 6=high) IQ.CPA.FINS.XQ
United States USA Public private partnerships investment in water and sanitation (current US$) IE.PPN.WATR.CD
United States USA Firms expected to give gifts in meetings with tax officials (% of firms) IC.TAX.GIFT.ZS
United States USA Time to import, documentary compliance (hours) IC.IMP.TMDC 7.5 7.5 7.5 7.5 7.5 7.5
United States USA Informal payments to public officials (% of firms) IC.FRM.CORR.ZS
United States USA Depth of credit information index (0=low to 8=high) IC.CRD.INFO.XQ 8 8 8 8 8 8 8
United States USA Subsidies and other transfers (% of expense) GC.XPN.TRFT.ZS 3.25121797894075 3.60099058558255 2.86858450474011 2.92350957086176 51.4246377149791 51.2648571935427 56.4574063530222 59.0205115287999 60.5831540625517 61.4284712527173 61.8515720778175 62.5411866567258 63.2234717212438 64.144018076815 64.8451274460721 59.2357759370827 60.3893480384226 60.1813542400454 59.5105667494261 58.8642957901072 59.1506437490134 58.9376609811998 56.6413979938791 61.0368779068157 62.7162191192266 62.1299834906622 62.3773350690266 63.9376227806963 64.5479410862567 65.8097225485525 65.9172471846403 65.6793406744474 65.0170373284153 64.9466377309385
United States USA Tax revenue (% of GDP) GC.TAX.TOTL.GD.ZS 11.819937300154 11.4952124913005 11.8376203613283 11.1858004966455 10.7488368815829 11.6186463229876 11.5423590501612 12.003803094696 12.1383526516402 12.5505060426399 11.9786266418126 10.3482682349497 10.1597156537786 10.3842401634117 10.1630458873215 10.9488457256785 10.5959432728889 10.7824403801772 10.4652847558268 10.3203424286825 9.98416183728209 10.3049343163775 10.6235066354376 10.980989035111 11.373914577285 11.8281965458351 12.3298291446849 12.2606289164852 12.9690323513663 11.8578253467648 9.8614198548431 9.38922239267074 9.54017799130747 10.6838278530909 11.3112743686473 11.307387782412 10.3160122633975 7.91945327741596 8.59573284236889 9.57400376451656 9.79825572591336 10.519948552298 10.9478500537277 11.2174965949681 10.9022837417003 11.7250147526042 9.91123840728728 10.021108814884
United States USA Social contributions (current LCU) GC.REV.SOCL.CN 50480000000 60930000000 72730000000 81970000000 87950000000 103510000000 117730000000 135440000000 154070000000 179110000000 196910000000 204570000000 234790000000 260420000000 279150000000 298590000000 329520000000 354860000000 383590000000 400460000000 418450000000 433080000000 466580000000 489910000000 515120000000 545290000000 577940000000 617820000000 659300000000 723262000000 739425000000 763276000000 808978900000 853397000000 905682000000 947297000000 974497100000 950663000000 970903000000 903206000000 937959000000 1091780000000 1140055000000 1190781100000 1224603100000 1283671900000 1344611900000 1402228000000
United States USA Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) FX.OWN.TOTL.SO.ZS 89.9397964477539 94.3453903198242 94.379264831543
United States USA Wholesale price index (2010 = 100) FP.WPI.TOTL
United States USA Total reserves (includes gold, current US$) FI.RES.TOTL.CD 19664164000 18825530000 17252463900 16878648000 16725493600 15498323200 14953446600 14898992000 17857180000 17031416000 15236515800 14831073226.4574 20573775352.1224 33703588954.2107 55700252549.1293 43154974089.341 44162131646.1166 53374370832.8974 69447964987.8909 143259225732.736 171412607203.354 123907234985.741 143444661762.222 123110064423.481 104855936881.377 117981972231.986 139883920728.389 161738455237.867 144176820283.572 168583563269.377 173093564607.844 159272850288.003 147525874735.105 164620171357.293 163590579764.938 175995426883.436 160660160546.204 134836033327.141 146006089507.341 136450101867.481 128399516602.723 130076677027.985 157762914914.241 184024332193.35 190464790633.305 188259141662.468 221088725058.691 277548941768.855 294045673779.627 404098925258.353 488928508742.44 537267041107.474 574268084132.447 448508920737.711 434416188744.625 383728497570.133 405942428719.749 451285263406.24 449907088828.546 516700583371.247
United States USA Level of water stress: freshwater withdrawal as a proportion of available freshwater resources ER.H2O.FWST.ZS 22.609486
United States USA Urban population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.UR.ZS 2.328829426 2.245915061 2.263941857
United States USA PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) EN.ATM.PM25.MC.ZS 47.9977370375362 44.694453712147 43.0813450802919 44.220561764174 38.2130323583238 46.6861985255353 28.6580810105166 20.8405573376878 11.7312972136243 8.46530650743068 3.33443559203764 3.34317037021352
United States USA Agricultural methane emissions (% of total) EN.ATM.METH.AG.ZS 30.8216375767833 32.3715919072599 32.100242658903 32.2596056492953 33.4415147176222 33.6806739802947 32.7650073140415 32.589810009502 32.345781308792 30.7929909037998 31.3639668379497 32.1268090113256 31.8901028482199 31.7152105131444 30.9443151619431 30.4116516638085 29.7194782664157 28.8335424214524 28.3592068244258 27.7489337921984 27.0901931367058 27.7210970891922 28.5688671819383 29.0990728858974 29.8771382391701 30.8349144175777 31.1782685601639 31.4315278406455 32.1480014795402 32.8858749454243 33.2769008202366 33.6328366145552 33.8114194374046 33.7345768600976 34.3967619718335 35.3987713050031 35.5752646160616 35.8771064901509 35.9511995122245
United States USA CO2 emissions from gaseous fuel consumption (% of total) EN.ATM.CO2E.GF.ZS 21.8127616389699 22.1119486302721 22.6606548582834 23.051954922398 23.3321094965977 23.0983018514934 23.6643869816016 23.8656557808914 24.4594284182921 25.3162700137305 24.4883748707119 25.1981732208177 24.4599855085736 23.1517384098324 22.8994935483434 22.2164799599207 21.5748916537626 20.3209006870368 20.0585567010309 20.7238997794622 21.2156384434847 21.401153183219 20.9786446718963 19.7662918767171 19.8195503754519 19.1579512721497 18.1839983555261 18.4647067611188 18.5475384573873 18.9540452154762 20.8147768585491 21.7875841379158 21.8145979884109 21.9003859021739 22.0590638210882 22.6423101103046 21.942323482263 21.626884653792 21.1498103361535 21.8140649387764 22.0445654680095 21.0782267476722 21.7272632132496 20.9664435080483 20.3039314618882 20.0872394423111 20.2102256343714 21.5010233213381 22.1007823736661 23.3299265486066 23.632044856002 24.7448605056518 26.8621822763108 26.9266012752044 27.5652411291924 28.9483321198007 29.9333958868499
United States USA Electricity production from oil sources (% of total) EG.ELC.PETR.ZS 6.42257705904494 6.23997295972046 5.79954780561836 5.72641840522747 5.85443675883637 6.22029039946696 6.97403115996792 7.41041052569326 7.90565501562944 9.66708588360609 12.123966448487 13.8195822423652 15.8380732847174 17.0937909722113 16.4507353110224 15.3807255514231 16.0146813055641 17.167251822434 16.8626712863953 13.7634484246267 10.8437700838785 9.06310319471618 6.60905019071082 6.31324927318459 5.00219879013865 4.08920302571122 5.53641214005707 4.66614921976294 5.5745506888982 5.60432829073694 4.07919538230924 3.90424868428733 3.25656141676887 3.74047624663867 3.49139441977154 2.450248343766 2.64953533644971 2.94968711024939 3.86644356268255 3.50373473205292 2.94300507838649 3.3749076216171 2.63605271111979 3.37920742337993 3.35309347939288 3.30976200588116 1.83908298715489 1.8070660500958 1.33033078669485 1.21104961234169 1.10431766942719 0.91350437464681 0.774312765226122 0.859739209174284 0.92325908117234 0.903806520197121
United States USA Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) DT.TDS.DPPG.CD
United States USA Net official development assistance and official aid received (current US$) DT.ODA.ALLD.CD
United States USA PPG, private creditors (NFL, current US$) DT.NFL.PRVT.CD
United States USA Net official flows from UN agencies, IFAD (current US$) DT.NFL.IFAD.CD
United States USA External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) DT.DOD.DPPG.CD
United States USA Net bilateral aid flows from DAC donors, Portugal (current US$) DC.DAC.PRTL.CD
United States USA Net bilateral aid flows from DAC donors, Spain (current US$) DC.DAC.ESPL.CD
United States USA S&P Global Equity Indices (annual % change) CM.MKT.INDX.ZG -6.55913978494622 26.3067046211616 4.46426430746363 7.05515136214454 -1.53928609711652 34.1106538637403 20.2636663257188 31.008181008181 26.6685902125862 19.5260447597276 -10.1391866598605 -13.0424558734511 -23.3662492313519 26.380037102777 8.99353954103466 3.00158236936154 13.619200111241 3.52920194755608 -38.4852563340138 23.4538173189184 12.7820791594404 -0.00247952856932132 13.40569 29.60125 11.3906381873661 -0.726601583369757 9.53501570496198 19.4199648923768 -6.2372598219685 28.4995078712521
United States USA Primary income receipts (BoP, current US$) BX.GSR.FCTY.CD 11750000000 12710000000 14770000000 21780000000 27630000000 25370000000 29290000000 32400000000 42470000000 64370000000 72670000000 86650000000 86320000000 85263000000 104857000000 93731000000 97064000000 108184000000 136712000000 161290000000 171750000000 149240000000 133757000000 136081000000 166517000000 210264000000 226133700000 256820100000 261826200000 302539000000 365609000000 311365000000 306393000000 346933000000 432837000000 536293000000 669919000000 816938000000 820244000000 653222000000 723220000000 791469000000 791682000000 811560000000 845930000000 825102000000 857818000000 997523000000 1108469000000 1135691000000
United States USA Current account balance (% of GDP) BN.CAB.XOKA.GD.ZS 0.244106277537657 -0.0841310039919303 -0.411223428790331 0.53178950676874 0.110015059120151 1.06118805581802 0.204973598973424 -0.725324786989883 -0.66962947339236 -0.00596422076523198 0.0744407233804418 0.149982444882231 -0.347121184979076 -1.21688325768745 -2.45214189670976 -2.86830150595336 -3.21366503109093 -3.30875151769798 -2.3156580866612 -1.76379666689119 -1.32399955459737 0.0462965293516911 -0.791448803104507 -1.23616054042839 -1.66925292387951 -1.48644935848023 -1.54496736206885 -1.64061330890365 -2.37273875749317 -2.97613948517151 -3.92035170304519 -3.72411312892921 -4.17055160146939 -4.55826395005275 -5.20632963402656 -5.74710958331018 -5.91143663420311 -5.0966039561576 -4.73413567100505 -2.62812485422258 -2.88154002568297 -2.92935257634156 -2.58141514040749 -2.00688725925685 -2.09852550247435 -2.23518576853255 -2.10990025438866 -1.87127609737254 -2.18511423086437 -2.24057731673244
United States USA Trade in services (% of GDP) BG.GSR.NFSV.GD.ZS 2.43174574188277 2.43550671760313 2.37665251620267 2.53476977302831 2.74584644615766 2.70638564571038 2.80183963805079 2.82060076106264 2.85507860821509 2.85693786933827 3.09802201863503 3.18455448977594 3.44010940881736 3.26028511534552 3.41845540917369 3.34463476315511 3.64345948396279 3.90194872935596 4.00138414700986 4.07066814615764 4.45285238793496 4.59165438073805 4.55182539157929 4.51526333738618 4.57608344233671 4.72008962598117 4.85642357442387 4.9203534890481 4.89299233545411 4.92946270415503 5.06178807398018 4.78245644977361 4.76881872781975 4.80070947919128 5.2002299408777 5.29823626190534 5.59130457493156 6.09695279322555 6.53469848868685 6.43645450076408 6.79356602158781 7.09571976893961 7.12744629378263 7.06201161630026 7.11827664595792 6.94730608207328 6.9058494533065 7.04542282341876 6.92171982873142 6.83141679185392
United States USA Urban land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.UR.ZS 0.187350011 0.187350011 0.187350011
United States USA Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) TX.VAL.MRCH.WR.ZS
United States USA ICT goods exports (% of total goods exports) TX.VAL.ICTG.ZS.UN 20.0480976472 17.6023162755 16.0769598286 15.8485299335 15.2362848574 14.2965515135 13.5303547653 11.7174025773 10.6162575632 10.7084204671 10.5551422145 9.5092092683 9.0315767684 8.8766580243 8.965921416 9.4385216576 9.6474064631 9.4754929692 8.896843214 8.7421086474
United States USA Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) TM.VAL.MRCH.R6.ZS 3.26516477332459 3.49459291169481 3.43550439710322 3.25443947994275 4.46248474736659 3.7097006489794 3.37536918100417 3.0053951016234 2.85356327755357 2.33588275274798 2.61451074544709 2.6307313240233 2.55641505300234 3.11070608410981 5.69827531401273 6.13755259865802 6.81139581316554 6.85111660984412 5.62778124126663 6.67417569323603 7.49603236346662 6.1958727825257 5.66930400229083 4.05580933539321 3.19285741498911 2.7178243691229 2.25515800132776 2.29204343161642 1.98273537139178 2.51180176473092 2.57594571907144 2.41935768882641 2.27546470554172 2.14723051409619 1.78921959725079 1.71207028028075 1.94243170474637 1.91073234725658 1.46288794349064 1.38892491988402 1.8814455885322 1.86553632103849 1.53508370688867 2.0447633129295 2.46183799091428 3.01288896328406 3.18993851604835 3.43762980881238 4.09014815396193 3.01494789750369 3.38663800987745 3.35423860168935 2.16791819705044 1.71689076336753 1.12261880413855 0.821691034367389 0.902744837382033 1.04851763402443 0.971544760749273 0.825695203770413
United States USA Agricultural raw materials imports (% of merchandise imports) TM.VAL.AGRI.ZS.UN 10.2596413782073 10.0836516392135 9.35052737251152 8.5408770360868 7.47043288945965 6.19801276187667 5.90892547441954 5.7909709280862 4.57380341201823 4.4182093556557 4.4983483900581 4.73863174745471 3.55204835288759 3.07948068419001 3.33464759141695 3.33070631131252 3.3662335284071 3.22872227741556 2.54282630711712 2.40034408994496 2.17664002114652 2.52908248223733 2.3105922441397 2.11952678508176 2.03274033589045 2.11323061266668 2.18129678854317 1.91505549074112 1.77902034585438 1.86942734289324 2.00125901320952 2.03641983911257 2.11148267189681 2.03836616890367 1.90450182063806 1.72897887488932 1.65234197529047 1.37772193955358 1.35054766772992 1.35966441331755 1.26771042524609 1.40239694801811 1.32039098013656 1.21754116515266 1.08567875256586 0.957339089770877 0.856812889163216 0.971409180329991 1.02135611663816 1.03492017868156 0.984262361665671 0.985790408863124 0.942056455350089 0.962351184109276 0.965683566812138 0.930461489913499 0.872679175745169
United States USA Bound rate, simple mean, all products (%) TM.TAX.MRCH.BR.ZS 3.52 3.52 3.52 3.52 3.52 3.52 3.52 3.72 3.69 3.65 3.61 3.6 3.59 3.57 3.6 3.61 3.59 3.49 3.47 3.46 3.61 3.61 3.62 3.62 3.62
United States USA International tourism, expenditures for passenger transport items (current US$) ST.INT.TRNX.CD 14663000000 15805000000 18140000000 19972000000 18396000000 21316000000 21660000000 20345000000 20464000000 23011000000 24583000000 27029000000 30323000000 34817000000 32613000000 38666000000 43983000000 47827000000 41205000000 43980000000 42003000000 38484000000 40358000000 46540000000 47772000000
United States USA Completeness of birth registration, rural (%) SP.REG.BRTH.RU.ZS
United States USA Population ages 80 and above, female (% of female population) SP.POP.80UP.FE.5Y 1.66167554584033 1.7493743429263 1.82877953398785 1.89413828430811 1.94117192468196 1.9716751935522 2.06678327549398 2.145992694603 2.21076288016542 2.26321508725997 2.30522445897631 2.41274536354046 2.51027975338397 2.59982691737808 2.68034258473767 2.75091896222992 2.85771997663911 2.93599555892933 2.98747110494885 3.02159641993667 3.0522225474577 3.16377050895104 3.26427115853441 3.35228946807138 3.42848546352325 3.49706147226299 3.61264235656841 3.70995600915461 3.78715580938644 3.8443329641351 3.88684828632681 3.97626512640541 4.03639172017567 4.07073263108753 4.08646608021448 4.09233293636814 4.14012830830468 4.17633156083844 4.20233614935608 4.22051000645286 4.23567579465188 4.30698569280213 4.35192487968434 4.37252984322628 4.37303615726132 4.35964085041804 4.41972196907058 4.46916021167238 4.50833559768213 4.53218848360131 4.53840193755318 4.57354976136224 4.58606888875194 4.58320568635311 4.57364306004832 4.56574268307258 4.60309402234724 4.62798918790336 4.64999078966128 4.67924967951791
United States USA Population ages 55-59, female (% of female population) SP.POP.5559.FE.5Y 5.11763256304259 5.10382496116712 5.09810070703449 5.11002464681861 5.13556475193731 5.15977776227049 5.12646770713855 5.08767383981925 5.05868106508587 5.04730190762793 5.04948487712101 5.02912096959527 5.00894702305897 5.00328345331672 5.0189754899936 5.05139282647087 5.08526157781055 5.13228534768598 5.18352158816039 5.21990401754222 5.22710962199359 5.18115465452558 5.11195039235866 5.02711840821349 4.93262830648572 4.83064005459813 4.71025143849298 4.5803368142673 4.45251759015213 4.34250480547412 4.26109143965609 4.20315918482551 4.17503900371142 4.17521060311759 4.20225689258006 4.25662172385282 4.3330481663022 4.4323878671229 4.55151348662217 4.69207738516649 4.85785221540674 5.06051976863609 5.28818260571027 5.52449895475906 5.74513624138219 5.93397999167852 6.07298839096981 6.18228707256304 6.27257526250263 6.36059393739241 6.4553337050413 6.53201560057981 6.61285145380896 6.68683792094299 6.73856341860143 6.75928806886757 6.75058641442827 6.71592899860491 6.65767761006597 6.57904891870552
United States USA Population ages 15-64, total SP.POP.1564.TO 108751648 110226924 111905684 113731994 115648528 117498168 119261689 121032978 122787231 124627447 126828200 129427860 131809995 134079604 136355556 138793845 140769589 142933887 145209985 147489425 149446558 151362184 153152361 154780871 156244645 157666869 158879201 160025595 161186900 162421230 163996615 165774560 167746558 169748497 171777026 173938717 176026860 178449056 180989043 183576338 186123865 188528528 190730595 192788756 195059592 197426230 199322426 201337589 203378186 205162922 206668404 207885093 209059763 210066008 211084681 212046899 212957120 213587340 213925776 214146999
United States USA Population ages 0-14, female SP.POP.0014.FE.IN 27137240 27690297 28069973 28313384 28483912 28579979 28594508 28554910 28451500 28292162 28130719 27877735 27565551 27205116 26808990 26412992 26077711 25724194 25383101 25099034 24852895 24764301 24742108 24777646 24844960 24946879 25217502 25490313 25774174 26074191 26423657 26939796 27454495 27919917 28310076 28634878 29011643 29304887 29525351 29723323 29907093 29953328 30039941 30115848 30158889 30129872 30332735 30438116 30486117 30509793 30530820 30491299 30409425 30300803 30208459 30127998 30029421 29959876 29880716 29768273
United States USA Mortality rate, infant, female (per 1,000 live births) SP.DYN.IMRT.FE.IN 22.4 22 21.6 21.1 20.7 20.2 19.7 19.2 18.5 17.9 17.3 16.6 15.9 15.3 14.6 14 13.4 12.8 12.2 11.7 11.2 10.8 10.3 10 9.7 9.4 9.2 9 8.8 8.6 8.3 8 7.8 7.6 7.3 7.1 6.9 6.7 6.6 6.5 6.4 6.3 6.2 6.1 6.1 6 6 5.9 5.9 5.7 5.6 5.6 5.5 5.4 5.3 5.3 5.2 5.2 5.1 5.1
United States USA Refugee population by country or territory of asylum SM.POP.REFG 500000 500000 500000 500000 500000 510000 500000 480000 498000 500000 500000 530000 530000 530000 530000 530000 500000 684700 734000 734000 403684 537375 620257 655532 626909 492806 398633 365726 377769 411496 464887 513885 579938 623056 631046 623279 607005 563813 533951 521134 508209 515851 485173 452536 420788 379330 843449 281169 279488 275398 264510 264752 262006 263653 267214 273198 272963 287135 313242 341715
United States USA Unemployment with intermediate education, female (% of female labor force with intermediate education) SL.UEM.INTM.FE.ZS 6.94999980926514 6.48000001907349 6.30999994277954 6.01999998092651 5.5 5.15999984741211 4.8600001335144 5.46999979019165 6.75 6.84000015258789 6.53000020980835 6.32000017166138 5.84000015258789 5.71999979019165 6.8899998664856 10.1300001144409 11.0299997329712 10.9099998474121 10.1300001144409 9.21000003814697 7.92999982833862 7 6.40999984741211 5.73000001907349 5.19000005722046 4.82000017166138 11.1000003814697
United States USA Part time employment, male (% of total male employment) SL.TLF.PART.MA.ZS 21.8700008392334 21.1800003051758 21.2199993133545 20.3700008392334 21.6700000762939 19.7600002288818 18.6499996185303 19.8299999237061 19.5699996948242 19.9099998474121 19.9099998474121 19.5100002288818 19.4500007629395 19.1200008392334 20.2900009155273 24.3999996185303 22.5300006866455 22.1599998474121 21.4200000762939 20.7099990844727 20.8099994659424 21.2900009155273 20.1800003051758 20.3299999237061 19.3299999237061 18.9200000762939 22.5100002288818
United States USA Labor force with advanced education (% of total working-age population with advanced education) SL.TLF.ADVN.ZS 81.129997253418 80.8600006103516 80.5299987792969 80.4899978637695 80.25 79.75 79.3099975585938 78.870002746582 78.4899978637695 78.0899963378906 77.870002746582 77.9000015258789 77.7799987792969 77.7300033569336 77.7300033569336 77.3300018310547 76.5100021362305 76.0100021362305 75.5899963378906 74.9700012207031 74.3499984741211 73.8399963378906 73.5599975585938 73.25 73.1699981689453 73.129997253418 71.6399993896484
United States USA Average working hours of children, working only, male, ages 7-14 (hours per week) SL.TLF.0714.WK.MA.TM
United States USA Child employment in services, female (% of female economically active children ages 7-14) SL.SRV.0714.FE.ZS
United States USA Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) SL.FAM.0714.FE.ZS
United States USA Self-employed, female (% of female employment) (modeled ILO estimate) SL.EMP.SELF.FE.ZS 6.78999996185303 6.34000015258789 6.34000015258789 7.07000017166138 6.96000003814697 6.86999988555908 6.76000022888184 6.40999984741211 6.17999982833862 6.26999998092651 6.19999980926514 6.03000020980835 6.11999988555908 6.07999992370605 5.92999982833862 5.94999980926514 5.82999992370605 5.55999994277954 5.6399998664856 5.57999992370605 5.5 5.59000015258789 5.57000017166138 5.3600001335144 5.26000022888184 5.15999984741211 5.28000020980835 5.17000007629395 5.07999992370605
United States USA Annualized average growth rate in per capita real survey mean consumption or income, total population (%) SI.SPR.PCAP.ZG 1.64
United States USA Multidimensional poverty headcount ratio (% of total population) SI.POV.MDIM
United States USA Domestic private health expenditure (% of current health expenditure) SH.XPD.PVTD.CH.ZS 55.80990982 54.84963608 54.86869049 55.08547592 54.75342178 54.60948181 53.68384171 53.59055328 52.55748749 51.61457825 51.36202621 51.32531357 51.44789124 51.03407669 49.79465103 49.30077362 49.61272049 49.7457962 49.5871315
United States USA UHC service coverage index SH.UHC.SRVS.CV.XD 83 84
United States USA Prevalence of severe wasting, weight for height (% of children under 5) SH.SVR.WAST.ZS 0.1 0 0.1 0 0
United States USA People using safely managed sanitation services, rural (% of rural population) SH.STA.SMSS.RU.ZS
United States USA Prevalence of underweight, weight for age, female (% of children under 5) SH.STA.MALN.FE.ZS
United States USA Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population) SH.STA.AIRP.FE.P5 10
United States USA Nurses and midwives (per 1,000 people) SH.MED.NUMW.P3 8.94 9.4673 9.9177 12.5927 8.832 8.55 14.548
United States USA Prevalence of HIV, female (% ages 15-24) SH.HIV.1524.FE.ZS 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
United States USA Prevalence of HIV, total (% of population ages 15-49) SH.DYN.AIDS.ZS 0.4 0.4 0.4 0.4 0.4 0.4 0.3 0.3 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4
United States USA Condom use, population ages 15-24, male (% of males ages 15-24) SH.CON.1524.MA.ZS
United States USA Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day) SG.TIM.UWRK.FE 16.54167 16.625 16.5 16.25 16.08333 15.625 15.91667 15.29167 15.20833 15.29167 15.58333 15.54167 15.875 15.91667 15.41667 15.375
United States USA Current education expenditure, primary (% of total expenditure in primary public institutions) SE.XPD.CPRM.ZS 92.2047805786133 92.2865295410156 91.9320373535156 91.4302597045898 90.9884033203125
United States USA Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.BA.MA.ZS 31.9530906677246 31.9064407348633 32.3133583068848 33.1648406982422 34.6428718566895
United States USA Trained teachers in secondary education, female (% of female teachers) SE.SEC.TCAQ.FE.ZS
United States USA Secondary education, general pupils (% female) SE.SEC.ENRL.GC.FE.ZS 48.78903 48.81884
United States USA Lower secondary completion rate, female (% of relevant age group) SE.SEC.CMPT.LO.FE.ZS 102.716148376465 106.05152130127
United States USA Repeaters, primary, total (% of total enrollment) SE.PRM.REPT.ZS 1.60894
United States USA School enrollment, primary, male (% net) SE.PRM.NENR.MA 94.16765 93.23588 91.84373 92.94052 92.87408 92.897 93.49589 95.28074 94.6724
United States USA Primary completion rate, total (% of relevant age group) SE.PRM.CMPT.ZS 98.8321990966797 100.092697143555
United States USA Compulsory education, duration (years) SE.COM.DURS 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
United States USA Adequacy of social insurance programs (% of total welfare of beneficiary households) per_si_allsi.adq_pop_tot
United States USA Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) per_lm_alllm.adq_pop_tot
United States USA Net primary income (Net income from abroad) (constant LCU) NY.GSR.NFCY.KN 31336437000 35381972000 38167915000 53237726000 59426804000 45650309000 56064144000 63348875000 62897244000 85555108000 82971918000 73170770000 76693580000 75282759000 71288001000 48386309000 31689379000 31779789000 39767133000 41861990000 56359885000 49740285000 47829298000 46897228000 33856636000 40337292000 43787315000 32575187000 24176224000 34914818000 46698299000 63820211000 58394780000 73825508000 96127946000 92626584000 58125024000 122310206000 168543105000 155217113000 211038496000 248849056000 240288527000 235255734000 241786849000 224626000000 216557375000 237135521000 255112811000
United States USA GNI (constant LCU) NY.GNP.MKTP.KN 5216450081206.84 5391244344338.91 5675636318049.97 6008919566998.28 5983109557855.79 5957464375433.9 6286216943164.68 6581375008354.97 6941433076629.57 7181812820371.32 7161451602704.81 7330972410181.79 7204254865837.44 7529361869117.93 8064008854379.86 8374480870460.87 8646123397777.48 8944229101322.69 9324538084507.09 9667619713833.94 9863753058073.53 9846603296038.17 10189724626099.7 10467938411455.8 10874637004915.8 11172122248949.9 11595467973618.1 12097927069459.9 12630211847887.3 13240107450930.5 13796895859079.5 13951319701311.2 14187799798365.5 14607476707113.1 15181832833697.8 15708313307078.2 16119704539822.1 16485165808356.1 16509103539589.5 16081470069247.5 16545516449157.4 16836632231609.7 17201220134356.3 17508626485316.1 17951485746019.6 18449330440000 18739753032808.3 19199297263106 19772374222676.4
United States USA GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 0.618121192654741 4.48066935423358 2.90827194808753 4.34054896320299 5.07809761043293 5.27711385836413 1.38995128628369 3.75881936763187 2.09736970647879 -1.47726526871367 1.99561084742533 4.13808489408744 4.64215269077562 -1.44512926829744 -1.18458927429575 4.39146280087471 3.57715279191619 4.42298236861372 2.0338919701463 -1.2093005041713 1.53631968016879 -2.73455689708636 3.63199312241278 6.31215462303678 3.25065614776076 2.51089166474728 2.53894124879214 3.23540133542697 2.69817477436362 0.74148151927406 -1.43419451458372 2.09661469826091 1.40675791151384 2.7609275470092 1.46878726890007 2.57219576709981 3.1972529536399 3.27052404243776 3.55719309418573 2.97520862389631 0.00364898420839666 0.802103845383371 1.98092583876692 2.84268063784639 2.56350240569316 1.86795552049439 0.911865594684102 -1.07670008580575 -3.38743566415482 1.71820130007674 0.822277546232115 1.50861415327468 1.14505323593497 1.7827855404891 2.15887360343116 0.912035068317223 1.72587301530456 2.39109953260726 1.67812540004495
United States USA Gross value added at basic prices (GVA) (constant 2010 US$) NY.GDP.FCST.KD 5188304400721.04 5286199877797.26 5571103750895.22 5890200012205.83 5850963877026.2 5751127336159.7 6019811259954.14 6294687981287.83 6586064347503.27 6738461854403.85 6682870311407.85 6828941884407.49 6780251359465.99 6938399716113.96 7435848183222.61 7702879287423.51 7899750029085.86 8189017750667.64 8609196289761.38 8798576655057.51 8917415029382.03 8867947824719.58 9060401595839.22 9249342903942.65 9612151192481.51 9928565682181.43 10314497694549.3 10825707599812.8 11289983082076.9 11828826499325.3 12320003413754.4 12424621090472.6 12633450548312 12975803129650.8 13448564973051.5 13932205112800.8 14326238218162.5 14552778795806 14511202222423.6 14166239029492.2 14482933327000 14679344781837.8 14977691408184 15204618410027.3 15577052187527 16024071871362.2 16278918788090 16658768019961.7 17127998124210.6
United States USA Adjusted net national income per capita (constant 2010 US$) NY.ADJ.NNTY.PC.KD 20890.6251363107 21183.2116472696 22111.3609546437 23089.0355430504 21924.0703558691 21640.4049843428 22509.0295173841 23173.3673497584 24100.0195331744 23731.8833922294 22963.4626202985 23659.2557741734 23700.1567563351 24242.4541529073 25959.5373215605 26819.2641911894 27495.6387401597 28236.1542560185 29601.1071880114 30000.3926700501 30054.5920517417 29758.0432967825 30376.4056502091 30672.6779022312 31660.7468981511 32334.3688522628 33352.5993212441 34758.3379809705 36378.7430745141 37444.3403616007 38500.3179621546 38670.5160827479 38910.485794158 39402.9821563326 40471.8891992417 41321.1466430307 42398.5397640962 42098.9877839972 40477.545111701 39620.2621822087 41003.0796955054 41624.6203176297 42912.5383645346 43188.2774588293 44383.4451707622 45628.0314341055 45691.9219294725 46380.0373158996 47249.03224316
United States USA Adjusted savings: consumption of fixed capital (current US$) NY.ADJ.DKAP.CD 136838999972.244 148926000046.33 161011000054.569 178685999993.082 206893999939.966 238510000009.466 260225999921.657 289831999961.601 327195999990.492 373882000053.073 428432000004.441 487231000122.586 536962999910.004 562623999910.389 598393999814.08 640137000202.048 685295000051.187 730384999919.565 784496000178.202 838258000010.242 888532000281.455 932393000183.139 960247000235.912 1003497999994.85 1055609999662.34 1122381000333.04 1175305999650.92 1239325355872.04 1309737174824.13 1398934174696.64 1511224773464.94 1599510909581.53 1657976159600.75 1719080681930.25 1821827872517.66 1971024487563.06 2124124371564.29 2252805789045.55 2358841853722.18 2371476168607.47 2390926116322.47 2474466857897.72 2575995055014.2 2681217711163.58 2814140811440.46 2915586663685.91 2990318906257.36 3116002077610.89 3283262641602.51
United States USA Other manufacturing (% of value added in manufacturing) NV.MNF.OTHR.ZS.UN 47.6091041971184 47.5137583402328 47.9148220293961 48.2757239556214 48.0633802816901 47.6954471887974 48.0985961906017 48.4147930377844 48.1533501452421 48.3162310788593 48.6434300425785 49.3986864293956 47.9728656669011 48.1709831333818 48.9899596670385 48.9761926591486 49.9832072759515 49.6648915443564 49.4233996643491 48.7196339029259 48.6991722004912 48.9384050581277 48.7605876921842 48.7569943270925 48.5551969012266 48.4321059840287 48.3645791783008 48.3522551073663 47.4900173312872 48.2738510792838 48.3897725109911 48.6794949619865 49.7747976466017 49.7749737463299 41.2316676459417 41.1775095239219 41.3165007212657 42.0002998239882 42.1313971224055 41.8915082515081 41.6591512293363 42.6286152105692 43.2632440979177 44.2105917056787 43.7250121372329 43.5720083468319 37.4551903060496 37.9829711000437 39.0482899797948 39.4561203380567 39.6003711394804 38.2375173804781 38.2315122312447 38.0614410235281 37.8992340321818 37.8992340331964
United States USA Industry (including construction), value added per worker (constant 2010 US$) NV.IND.EMPL.KD 72738.4665122808 74769.7463658843 78368.6173453656 81859.6452435525 81431.304686785 85492.5159508283 88974.659149785 93042.8272871055 93448.9574344479 95352.6637409521 97303.6229168915 96874.0717309583 99690.3209558469 104193.879336715 103457.045516934 102817.012183468 103441.477418062 103842.996603449 105066.396597955 104164.764152327 105779.857856088 107026.907290689
United States USA Imports of goods and services (constant LCU) NE.IMP.GNFS.KN 252147111000 265604930000 295493651000 309205919000 302201356000 268614104000 321137045000 356243772000 387119610000 393556625000 367361023000 376955189000 372156752000 419119715000 521146497000 554966543000 602301254000 638094632000 663159651000 692363525000 717129883000 716057047000 766251149000 832506209000 931810750000 1006363369000 1093882054000 1241198933000 1386279910000 1542908535000 1741713416000 1692896225000 1754462027000 1840740950000 2050563828000 2184437325000 2329281899000 2387462267000 2334299595000 2028891461000 2295238985000 2424590149000 2490216305000 2528649815000 2655019777000 2792433000000 2838531558000 2970702412000 3092375897000 3125741183000
United States USA Gross fixed capital formation (annual % growth) NE.GDI.FTOT.KD.ZG 7.07699758884483 -3.90317886335519 -7.30012460098513 8.03211396573415 10.3289269258295 10.6531329611307 5.69889800473035 -4.29245821294037 1.90778419495061 -4.96558175378601 7.25926271987738 15.0092065288534 7.00470426059046 3.14587535381385 1.76810988040479 2.31196614482469 2.9305152809991 -0.104831122657885 -4.10701714400199 4.10004365535374 5.09500150889713 6.10475014892143 5.15577874414694 7.65424179493324 7.18113131906657 9.29372067651654 8.32446566454949 6.39754700131002 -0.423110526234311 -1.69569319249307 4.23690530208694 5.99281101751114 6.05938686585405 2.67430665175952 -0.578934550161264 -4.20558845739903 -12.5220832910431 2.23224674676463 4.57650266612366 6.86991081155846 3.56841858169183 5.13342271962689 3.65144983425239 1.83868208765077 3.53841032973006 4.79815150275851 2.26611425217204
United States USA Gross national expenditure (current US$) NE.DAB.TOTL.CD 1069355000000 1164230000000 1282482000000 1421266000000 1546058000000 1668928000000 1875043000000 2104920000000 2376966000000 2649878000000 2870363000000 3219561000000 3363763000000 3685680000000 4140340000000 4452997000000 4711500000000 4999985000000 5345831000000 5728320000000 6040998000000 6186743000000 6555066000000 6923733000000 7379724000000 7729510000000 8169498000000 8679523000000 9225528000000 9886497000000 10627396000000 10949752000000 11361820000000 11961372000000 12832805000000 13757829000000 14585533000000 15170286000000 15435933000000 14845383000000 15505955000000 16122044000000 16765579000000 17275632000000 18034916000000 18764872000000 19257587000000 20098513000000 21221321000000 22043697000000
United States USA High-technology exports (current US$) TX.VAL.TECH.CD 244479591930 246884073465 154108484413 168939400532 169464157156 172387240523 172145368079 179263970137 178349526944 176346133543 156640128842 156037130461 156074126641
United States USA Merchandise exports to economies in the Arab World (% of total merchandise exports) TX.VAL.MRCH.AL.ZS 2.55174093011931 3.02018226060404 3.47427831236121 2.93018259935553 3.04712279111917 2.71782807545626 2.94036389469945 2.30978346968132 2.2740028815609 2.25488646541278 1.90657769304099 2.14758532573976 2.37490589711418 2.4989955018081 3.44937052284181 5.02716003528483 6.18565657443204 6.75709529617299 6.50604252715313 5.94804053497377 6.07510648988516 7.15514587679994 8.73513116582957 7.95710717721954 6.08987238415031 5.1292549549296 4.29520848472584 3.7716380663864 3.52064655023832 3.35927557998163 2.97538084701701 3.56834160365096 3.72617197544805 3.52546188396676 3.04250039534797 2.76573228065541 2.9623134220492 2.93995588263093 3.10805528697088 2.62059690819102 2.21143124301461 2.36377365510939 2.39463112418951 2.24835311802286 2.36659049214619 3.0427686142332 3.39573187783874 3.67176117451771 4.00560717472233 4.1547246217748 3.80722353991029 3.80027315572554 4.2524193883426 4.49807222676964 4.40644701242842 4.48270562692331 4.40735979665681 3.91171783929969 3.60289688506465 3.81704497775909
United States USA Import value index (2000 = 100) TM.VAL.MRCH.XD.WD 21.2440778 22.82858161 20.81077811 22.25052291 28.19995665 28.7950822 31.10114049 34.37543465 38.04662765 40.73663341 42.56611657 42.09499989 45.42193731 49.36373319 56.132894 61.21273723 65.276344 71.39045501 74.99031208 84.12927817 100 93.63773525 95.30929882 103.4741523 121.1530215 137.5927896 152.3129516 160.438577 172.2772254 127.4752402 156.3713095 179.943143 185.5414913 184.9487811 191.5784166 183.8562058 178.6829111 191.2551179 207.5932185 203.8787104
United States USA Insurance and financial services (% of commercial service imports) TM.VAL.INSF.ZS.WT 2.2075055187638 2.5 2.26480836236934 1.7634092578986 1.40575079872204 2.07064555420219 2.82215122470714 3.08068459657702 3.44086021505376 3.29835082458771 2.97680858428522 3.15427857589007 3.23188796121734 3.46046981561 3.13977681104596 4.28471493529206 6.11271031202377 7.16508804785708 5.26089572767128 3.35241210139002 4.44354266003855 5.12054194062562 5.0141072924591 5.25802867187642 5.5345786963434 5.88035008163929 5.95941396463976 6.07859135652998 6.94928412804449 11.9853613906679 13.4347158366963 15.8139669885253 17.3449277528184 17.9260502879028 18.2097469250007 17.7972946398472 20.6191746615442 22.6576410118588 22.4524593511499 23.6294840739096 22.4148928280056 20.7523612308384 19.8037351443124 18.6788413469943 18.3267444476585 17.3101232597694 17.280524310965 16.7445187897151 15.3932338330607 16.2857092223719
United States USA Share of tariff lines with specific rates, all products (%) TM.TAX.MRCH.SR.ZS 5.527472 2.575912 2.678265 2.361926 2.161951 1.766131 1.769042 0.0190251 1.862939 1.492077 1.332068 1.257482 1.380526 1.302299 1.312698 1.27883 1.270525 1.522386 1.395904 1.358123 1.334619 1.194852 1.217692 1.164463 1.252218 1.303706 1.332513 0.9910344 0.8628309 0.9526508
United States USA International tourism, expenditures (% of total imports) ST.INT.XPND.MP.ZS 6.8526152243417 6.85147379358623 6.89985202546735 7.13381903061275 6.26940423618921 5.8851024781589 5.97388890463802 5.64147001516249 5.35990149767356 5.24707215588486 4.91493459054413 4.73184576238011 4.761256272106 4.65019422811499 5.79215694364014 5.2130544640444 4.84071409483732 4.98193526985317 4.79416593027043 4.87510473124485 5.22080396678467 5.42974976223698 5.45740573567211 5.53162050330825 5.87305145159691
United States USA Rural population SP.RUR.TOTL 54208527 54414785 54549307 54626596 54673014 54639947 54551297 54423243 54242804 54047876 54129627 54795508 55364268 55874046 56365499 56902406 57423878 57982322 58579920 59207469 59673829 59913573 60135341 60332364 60503262 60684895 60888123 61073788 61266559 61485081 61656881 61471853 61314541 61112155 60847887 60559606 60247274 59962727 59647910 59318323 59093274 59176653 59224903 59231337 59272576 59316092 59380586 59435929 59486862 59495270 59476370 59370278 59254429 59093985 58939798 58769219 58575095 58308905 57967430 57576495
United States USA Age dependency ratio, old (% of working-age population) SP.POP.DPND.OL 15.1441107356828 15.3161254867277 15.430128642974 15.5093798847842 15.5780071839738 15.6444737078794 15.784293479191 15.917687326507 16.0456823071448 16.1597420831384 16.2498537391526 16.3637967899647 16.4545617348669 16.5398340526125 16.6231026185688 16.6973405773145 16.8678172385656 17.0268272351678 17.1937157076354 17.3764729233977 17.5710651027506 17.7158001367105 17.8472638760038 17.9835711093782 18.1368071846558 18.3070471197091 18.5152429108704 18.7153180089723 18.905279523336 19.0761386303995 19.2210388000996 19.3370261395958 19.4132162163351 19.4501433494283 19.4415666504786 19.384689378846 19.3000250075471 19.1690669408753 19.0107093941593 18.8478419261201 18.6978580097721 18.613032400062 18.5359034820816 18.4754161700177 18.4374737131615 18.4287320889428 18.5338733535182 18.659783891621 18.8323953287694 19.0834540755858 19.4298858571531 19.8581352824563 20.3578036200108 20.9167901167523 21.5146981698781 22.1414400405827 22.7979975499293 23.4614603093985 24.1399755399275 24.8457061030307
United States USA Population ages 65-69, female (% of female population) SP.POP.6569.FE.5Y 3.60394241934144 3.60532066868971 3.6013582172644 3.60041195891629 3.6121642087126 3.63923760097931 3.6676344905609 3.71953359964508 3.79064106523122 3.86804727083096 3.93717586597371 3.94751676953842 3.9712866128745 4.02108751824034 4.08897593858332 4.15236179160225 4.14247710504336 4.1244059597218 4.11821998244595 4.13385503004204 4.16478181811746 4.14783680670397 4.1412927713631 4.15505345174686 4.19028214889464 4.23680437035745 4.24097343050336 4.25722675292863 4.28418746749777 4.30958414527813 4.31934565377269 4.26393905759549 4.19856634267859 4.13073899826717 4.06267859948969 3.99132470151879 3.8805195342104 3.76953234730692 3.67039002811419 3.59492990849572 3.54763757333141 3.51548629052084 3.50639127043738 3.52167753776478 3.56147280170084 3.62435368095449 3.68263312946245 3.76473242161244 3.87342069806225 4.01206360157341 4.1796129385957 4.3492485178291 4.54504256075497 4.75070215058332 4.94336261351394 5.10923266366909 5.23811314872773 5.33971522763277 5.42387225393327 5.50609967173813
United States USA Population ages 25-29, female (% of female population) SP.POP.2529.FE.5Y 5.99896074691375 5.86945430629823 5.78791004547594 5.75069850699174 5.75481862585331 5.80201527112382 5.89956367150383 6.02662948906593 6.17680075969107 6.34969724840268 6.54811735530495 6.81222734847894 7.0956651956505 7.37496864862958 7.6268655774628 7.84210232716764 8.02926572253902 8.17832562655659 8.291370155268 8.38630391853673 8.47946114601859 8.5911024512704 8.69798587297513 8.77907663379862 8.81630719726949 8.80519764435271 8.76544495747585 8.67961813006322 8.53969804949766 8.35407315294995 8.14256603956495 7.97372595715836 7.78445823785469 7.57433900868622 7.35793955210896 7.15311857930103 6.98854892251649 6.86755334843773 6.7829137199499 6.71887373843722 6.66208037944859 6.59868282913822 6.5409998324394 6.49566195989119 6.47151611754737 6.47132829360208 6.47203545795298 6.49202943814147 6.52362251622977 6.55592275005128 6.58167468570237 6.62389478989555 6.66977601898698 6.71859387699265 6.77119268836187 6.82661467950493 6.87795000447286 6.93184336956615 6.97818468943972 7.00125947870909
United States USA Population ages 0-14, total SP.POP.0014.TO 55449882 56581582 57365125 57870878 58224736 58422862 58473696 58413370 58216720 57910079 57614404 57053829 56397248 55652853 54831920 54004275 53520654 52968008 52408023 51937115 51519090 51288794 51178133 51176001 51242565 51392983 51836929 52314106 52839266 53414072 54104532 55150570 56202440 57154177 57952829 58621803 59393912 60000925 60457655 60863484 61237370 61349552 61540958 61700652 61781645 61707218 62115320 62324459 62414797 62456435 62497826 62389679 62211250 61988641 61802095 61638027 61434232 61287489 61120095 60886190
United States USA Life expectancy at birth, total (years) SP.DYN.LE00.IN 69.7707317073171 70.2707317073171 70.119512195122 69.9170731707317 70.1658536585366 70.2146341463415 70.2121951219512 70.5609756097561 69.9512195121951 70.5073170731708 70.8073170731707 71.1073170731707 71.1560975609756 71.3560975609756 71.9560975609756 72.6048780487805 72.8560975609756 73.2560975609756 73.3560975609756 73.8048780487805 73.609756097561 74.009756097561 74.3609756097561 74.4634146341463 74.5634146341464 74.5634146341464 74.6146341463415 74.7658536585366 74.7658536585366 75.0170731707317 75.2146341463415 75.3658536585366 75.6170731707317 75.419512195122 75.619512195122 75.6219512195122 76.0268292682927 76.4292682926829 76.5804878048781 76.5829268292683 76.6365853658537 76.8365853658537 76.9365853658537 77.0365853658537 77.4878048780488 77.4878048780488 77.6878048780488 77.9878048780488 78.0390243902439 78.390243902439 78.5414634146342 78.6414634146341 78.7414634146342 78.7414634146342 78.8414634146341 78.690243902439 78.5390243902439 78.5390243902439 78.5390243902439
United States USA Prevalence of undernourishment (% of population) SN.ITK.DEFC.ZS 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5
United States USA Share of youth not in education, employment or training, male (% of male youth population) SL.UEM.NEET.MA.ZS 15.6800003051758 15.1899995803833 15.0699996948242 14.4399995803833 13.8000001907349 13.2799997329712 12.8299999237061 13.9099998474121 14.8400001525879 15.3800001144409 14.6999998092651 14.8299999237061 13.539999961853 13.5699996948242 15.4700002670288 19.1800003051758 19.5900001525879 18 17.8299999237061 17.3799991607666 15.6899995803833 14.7200002670288 14.3000001907349 13.0200004577637 13 12.6099996566772 17.2700004577637
United States USA Unemployment, youth female (% of female labor force ages 15-24) (national estimate) SL.UEM.1524.FE.NE.ZS 10.8000001907349 12.6999998092651 11.5 12.3999996185303 12 10.8999996185303 9.69999980926514 9.69999980926514 9.69999980926514 9.10000038146973 11 12.6000003814697 12.3000001907349 11.1999998092651 12.3999996185303 15.5 14.6000003814697 14 12.8999996185303 12.1999998092651 13 14 16.2000007629395 15.8000001907349 13.3000001907349 13 12.8000001907349 11.6999998092651 10.6000003814697 10.3999996185303 10.6999998092651 12.5 13.1000003814697 12.3000001907349 11.8000001907349 11.7700004577637 11.4300003051758 10.9300003051758 9.76000022888184 9.46000003814697 8.92000007629395 9.60999965667725 11.1000003814697 11.4200000762939 10.9700002670288 10.1300001144409 9.6899995803833 9.43000030517578 11.1800003051758 14.8900003433228 15.8400001525879 15.7299995422363 14.9099998474121 13.9300003051758 12.1700000762939 10.3999996185303 9.34000015258789 8.09000015258789 7.67000007629395 7.34000015258789 14.8400001525879
United States USA Labor force participation rate, female (% of female population ages 15+) (national estimate) SL.TLF.CACT.FE.NE.ZS 37.7000007629395 38.0999984741211 37.9000015258789 38.2999992370605 38.7000007629395 39.2999992370605 40.2999992370605 41.0999984741211 41.5999984741211 42.7000007629395 43.2999992370605 43.4000015258789 43.9000015258789 44.7000007629395 45.7000007629395 46.2999992370605 47.2999992370605 48.4000015258789 50 50.9000015258789 51.5 52.0999984741211 52.5999984741211 52.9000015258789 53.5999984741211 54.5 55.2999992370605 56 56.5999984741211 57.4000015258789 57.5 57.4000015258789 57.7999992370605 57.9000015258789 58.8600006103516 59.0499992370605 59.3400001525879 59.9000015258789 59.8499984741211 60.0299987792969 59.939998626709 59.7900009155273 59.6199989318848 59.5099983215332 59.1599998474121 59.2599983215332 59.3600006103516 59.310001373291 59.4700012207031 59.189998626709 58.6199989318848 58.0999984741211 57.6800003051758 57.2099990844727 56.9700012207031 56.6800003051758 56.7999992370605 57.0400009155273 57.0800018310547 57.4300003051758 56.2000007629395
United States USA Children in employment, total (% of children ages 7-14) SL.TLF.0714.ZS
United States USA Employment in services, male (% of male employment) (modeled ILO estimate) SL.SRV.EMPL.MA.ZS 62.1800003051758 62.2700004577637 62.3899993896484 62.3600006103516 62.5299987792969 62.689998626709 62.8300018310547 63.0400009155273 63.25 63.5 64.1999969482422 65.1699981689453 65.5 65.4700012207031 65.629997253418 65.3399963378906 65.7900009155273 66.4700012207031 68.0800018310547 68.5400009155273 68.7600021362305 68.9800033569336 68.6699981689453 68.629997253418 68.7600021362305 68.8199996948242 68.870002746582 68.75 68.8099975585938
United States USA Contributing family workers, male (% of male employment) (modeled ILO estimate) SL.FAM.WORK.MA.ZS 0.129999995231628 0.129999995231628 0.140000000596046 0.0900000035762787 0.0700000002980232 0.100000001490116 0.0900000035762787 0.0700000002980232 0.0599999986588955 0.0700000002980232 0.0599999986588955 0.0599999986588955 0.0599999986588955 0.0599999986588955 0.0599999986588955 0.0399999991059303 0.0500000007450581 0.0599999986588955 0.0500000007450581 0.0700000002980232 0.0500000007450581 0.0700000002980232 0.0599999986588955 0.0399999991059303 0.0500000007450581 0.0399999991059303 0.0399999991059303 0.0500000007450581 0.0399999991059303
United States USA Employment to population ratio, 15+, female (%) (national estimate) SL.EMP.TOTL.SP.FE.NE.ZS 35.5 35.4000015258789 35.5999984741211 35.7999992370605 36.2999992370605 37.0999984741211 38.2999992370605 39 39.5999984741211 40.7000007629395 40.7999992370605 40.4000015258789 41 42 42.5999984741211 42 43.2000007629395 44.5 46.4000015258789 47.5 47.7000007629395 48 47.7000007629395 48 49.5 50.4000015258789 51.4000015258789 52.5 53.4000015258789 54.2999992370605 54.2999992370605 53.7000007629395 53.7999992370605 54.0999984741211 55.2999992370605 55.7000007629395 56.0999984741211 56.8600006103516 57.0800018310547 57.4300003051758 57.4799995422363 57 56.2799987792969 56.1300010681152 55.9700012207031 56.2400016784668 56.6199989318848 56.6399993896484 56.25 54.4199981689453 53.5699996948242 53.189998626709 53.1300010681152 53.1599998474121 53.5200004577637 53.7400016784668 54.0800018310547 54.5800018310547 54.8899993896484 55.3600006103516 51.5099983215332
United States USA Employment in agriculture, female (% of female employment) (modeled ILO estimate) SL.AGR.EMPL.FE.ZS 1.04999995231628 1.03999996185303 1.01999998092651 1.00999999046326 0.990000009536743 0.970000028610229 0.949999988079071 0.920000016689301 0.899999976158142 0.860000014305115 0.829999983310699 0.839999973773956 0.810000002384186 0.779999971389771 0.75 0.740000009536743 0.649999976158142 0.689999997615814 0.680000007152557 0.740000009536743 0.769999980926514 0.759999990463257 0.670000016689301 0.699999988079071 0.759999990463257 0.769999980926514 0.75 0.759999990463257 0.759999990463257
United States USA Multidimensional poverty headcount ratio, household (% of total households) SI.POV.MDIM.HH
United States USA Income share held by third 20% SI.DST.03RD.20 16.7 16.9 16.5 16.3 15.7 15.5 15.6 15.7 15.5 15.7 15.4 15.3
United States USA Current health expenditure per capita, PPP (current international $) SH.XPD.CHEX.PP.CD 4564.45507813 4914.94042969 5332.49316406 5741.29931641 6103.58447266 6454.68310547 6821.10742188 7172.16601563 7410.70068359 7681.24755859 7930.15136719 8130.75634766 8399.23925781 8599.52734375 9023.61132813 9491.09082031 9877.87109375 10209.63085938 10623.84960938
United States USA Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SH.UHC.NOP1.CG 0.0242771226912737 0.0217519123107195 0.01495579816401 0.0181984771043062 0.00160641153343022 0.000428444007411599 0 0 0 0.000697721028700471 0 0.00104031874798238 0.00106173544190824 0.00116209441330284 6.69511791784316E-05 2.57961801253259E-05 0.161973476409912 0
United States USA Prevalence of stunting, height for age, male (% of children under 5) SH.STA.STNT.MA.ZS
United States USA Maternal mortality ratio (national estimate, per 100,000 live births) SH.STA.MMRT.NE 8 7 7 8 8 9 8 8 8 8 7 7 8 10 12 13 13 12 14 13 13 14 13 14 15 14 19 18 19
United States USA ARI treatment (% of children under 5 taken to a health provider) SH.STA.ARIC.ZS
United States USA Use of insecticide-treated bed nets (% of under-5 population) SH.MLR.NETS.ZS
United States USA Children (ages 0-14) newly infected with HIV SH.HIV.INCD.14
United States USA Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%) SH.DYN.NCOM.FE.ZS 14.6 13 11.7 11.6 11.8
United States USA Number of deaths ages 20-24 years SH.DTH.2024 21388 20937 20542 20156 19695 19180 18728 18268 17913 17762 17833 18089 18507 19044 19657 20209 20401 20259 19879 19392 18935 18745 18814 19164 19816 20656 21577 22362 22890 23082
United States USA Women who believe a husband is justified in beating his wife when she burns the food (%) SG.VAW.BURN.ZS
United States USA Government expenditure per student, primary (% of GDP per capita) SE.XPD.PRIM.PC.ZS 22.05341 20.85277 20.5226 19.71867 19.7888 19.76064 19.85908
United States USA Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.DO.ZS 1.67716002464294 1.76947999000549 1.70131003856659 1.85371994972229 2.03264999389648
United States USA Trained teachers in secondary education, male (% of male teachers) SE.SEC.TCAQ.MA.ZS
United States USA Secondary education, vocational pupils SE.SEC.ENRL.VO
United States USA Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.LO.MA.ZS 92.3500823974609 93.5193786621094 93.4958801269531 93.8903732299805 94.243782043457 94.3448104858398 94.5925903320313 94.7511520385742 94.8125 95.0018692016602 95.0836791992188 95.1797866821289 95.456901550293 95.9792175292969
United States USA Primary education, teachers SE.PRM.TCHR 1415000 1414000 1425000 1427387 1442913 1473053 1499697 1575104 1687937 1714415 1769451
United States USA Over-age students, primary, female (% of female enrollment) SE.PRM.OENR.FE.ZS 4.6599 3.8643 5.01799 4.42152 4.95616 4.60756 4.84304 5.27661 4.7874 5.45159 5.65067 4.86057 5.33042 4.83562 4.99298 5.65673 5.11844
United States USA Primary education, duration (years) SE.PRM.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
United States USA School enrollment, tertiary (gross), gender parity index (GPI) SE.ENR.TERT.FM.ZS 0.690079987049103 0.721700012683868 0.777079999446869 0.808589994907379 0.841949999332428 0.842499971389771 0.921249985694885 0.977890014648438 1.02727997303009 1.06941998004913 1.09853994846344 1.1147700548172 1.11124002933502 1.12205004692078 1.139240026474 1.15471005439758 1.17212998867035 1.19218003749847 1.20668995380402 1.21246004104614 1.21610999107361 1.22046005725861 1.22016000747681 1.22815001010895 1.23362994194031 1.23784995079041 1.23892998695374 1.24258995056152 1.24749004840851 1.26289999485016 1.27496004104614 1.2880300283432 1.29685997962952 1.30020999908447 1.29770004749298 1.28963005542755 1.28652000427246 1.28217995166779 1.27839004993439 1.28235995769501 1.27189004421234 1.26513004302979 1.26267004013062 1.25643002986908 1.26481997966766 1.26827001571655
United States USA Coverage of social insurance programs in 2nd quintile (% of population) per_si_allsi.cov_q2_tot
United States USA Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) per_lm_alllm.cov_q2_tot
United States USA Net secondary income (Net current transfers from abroad) (current US$) NY.TRF.NCTR.CD -6618000000 -7904000000 -9227000000 -7868000000 -8735000000 -9142000000 -8122000000 -8112000000 -8842000000 -10552000000 -12618000000 -17039000000 -19836000000 -20495000000 -23642000000 -25652000000 -27763000000 -26810000000 -28988000000 -30400000000 -31734000000 4910000000 -41912000000 -45355000000 -46078000000 -44050000000 -49513000000 -51424000000 -60033000000 -48082000000 -56417000000 -63786000000 -63045000000 -68447000000 -84320000000 -94084000000 -81375000000 -101349000000 -114699000000 -117609000000 -118539000000 -122488000000 -111842000000 -108499000000 -109025000000 -128891000000 -140720000000 -134549000000 -139164000000
United States USA GNI per capita (current LCU) NY.GNP.PCAP.CN 3024.28170542035 3085.61660614837 3265.82251337529 3398.29424757718 3599.47678084726 3854.8040946357 4172.26292226292 4363.60159426708 4726.31610415234 5062.24189227194 5239.44657940425 5600.1174991934 6100.67366695887 6756.90036761062 7263.36659590188 7799.83609062244 8574.78386497581 9456.40871961823 10557.117505672 11615.8361289463 12529.6732313786 13953.6401907036 14553.1804682644 15458.9036408431 17098.6621435386 18115.339352062 18808.4728046541 19930.2403328257 21497.4008073653 22682.1314404483 23644.8163831057 24099.6359410391 25088.17842301 25907.178774926 27250.2565310916 28446.5520996853 29866.6896812847 31502.0997076913 33117.0256730009 34723.8890481651 36801.0003997308 37701.3313608144 38433.0902474179 39744.7525159541 42055.2089873729 44565.0161262177 47164.5892837451 48279.2475083765 48289.6855638365 46936.2591989428 48902.9307116172 50816.426537904 53119.8368905505 54355.1886783571 56730.85710115 58335.2019940495 58974.0716077046 61018.9519848143 63783.7289036656 66079.8331101645
United States USA Oil rents (% of GDP) NY.GDP.PETR.RT.ZS 0.380961570155255 0.40713024222144 0.399125946469389 0.419748833863759 1.5529205396972 1.38887350182815 1.36881826184647 1.44655105654489 1.39751583701445 2.44583637540437 3.06381760498325 2.19810245972543 1.34133889758825 1.6360488323807 1.47839598770146 1.29481020686998 0.533396224428927 0.762099677020313 0.484167974879329 0.607537110988854 0.762235583601413 0.510250662790546 0.48488011817412 0.387246848192799 0.304254399692538 0.310369329955555 0.371434212663813 0.221420888109429 0.0803670057438435 0.171779506801659 0.312958252681155 0.161478688278715 0.162037453328292 0.191072980636908 0.25857561041228 0.327942324431055 0.3008833859 0.312808533637622 0.537734551397643 0.278203347374199 0.317967081044388 0.455620672736314 0.291285206884496 0.360372351756563 0.308606064058754 0.00830146220902965 0.0924145881671395 0.177408633696751 0.376622096070566
United States USA GDP (current US$) NY.GDP.MKTP.CD 543300000000 563300000000 605100000000 638600000000 685800000000 743700000000 815000000000 861700000000 942500000000 1019900000000 1073303000000 1164850000000 1279110000000 1425376000000 1545243000000 1684904000000 1873412000000 2081826000000 2351599000000 2627334000000 2857307000000 3207042000000 3343789000000 3634038000000 4037613000000 4338979000000 4579631000000 4855215000000 5236438000000 5641580000000 5963144000000 6158129000000 6520327000000 6858559000000 7287236000000 7639749000000 8073122000000 8577554457000 9062818202000 9630664202000 10252345464000 10581821399000 10936419054000 11458243878000 12213729147000 13036640230000 13814611414000 14451858656000 14712844084000 14448933025000 14992052727000 15542581104000 16197007349000 16784849196000 17527163695000 18224704440000 18714960538000 19519353692000 20580159776000 21433226000000
United States USA Adjusted net savings, excluding particulate emission damage (current US$) NY.ADJ.SVNX.CD 162665515761.477 169830787314.721 195713031665.334 239588325960.297 199795357178.879 187113012123.158 224295723476.977 256608996260.498 320198061500.013 297440683859.953 250251255121.49 357507507616.906 331926361018.767 293058946805.312 443771266406.878 413617927920.915 315374405247.272 453796658122.686 449941602735.72 435407062591.579 397855276873.969 418949174477.585 453488803908.935 416830794002.245 539584828544.807 581951436388.823 686536158606.954 855764427179.086 926297905975.105 925674412702.791 944793675638.67 855409137232.834 754551883796.602 699130297681.72 743748900078.49 784741153296.956 1004381975367.28 758946835335.691 321186654225.504 158378954870.119 485747937854.515 690196399318.057 1035901025690.47 1103310936882.08 1346964700942.77 1428392055935.38 1164255254193.34 1196870260615.77 1198669764603.8
United States USA Adjusted savings: energy depletion (current US$) NY.ADJ.DNGY.CD 3663426833.16293 4318405971.80781 4911115466.15208 6596710237.09083 32904552605.982 31188092109.1841 33907810440.5939 38678451675.3682 40755981025.5673 90548813823.8414 112206024335.15 85179247759.6336 44523418141.7918 65233405388.5435 68096507715.1574 62509460478.1352 25412407695.8014 41924927986.2293 29895759514.8448 37864530150.0624 46750972421.7222 34575915928.7044 38533023960.0585 38820638420.0633 32425359540.3244 29636728580.8235 44119030420.2641 33825676975.0808 19731745901.9119 31178603791.4646 63980603806.6413 53979404184.7019 35349320681.9358 54251124815.7828 80227662866.7507 93573905683.9826 78908697141.1914 75169205947.1122 129484851688.177 41061315308.0614 41735174255.6545 59573813242.9421 39928279930.5171 48903751045.7856 44918940650.2523 4037186616.52153 15819510213.8432 28919312481.3249 67682160847.7653
United States USA Services, value added (current US$) NV.SRV.TOTL.CD 6159458536000 6563276616000 7001330451000 7465371914000 7831857732000 8189248752000 8549066210000 9057612992000 9649199955000 10181786413000 10680295924000 10964869014000 11045335837000 11424888461000 11791120447000 12333783358000 12718629157000 13287752778000 13995858190000 14506385696000 15068528346000 15824167830000
United States USA Manufacturing, value added (annual % growth) NV.IND.MANF.KD.ZG 4.26057898160165 5.72370924268617 7.20499648423778 -4.27835751129446 1.15899547165701 5.48225929534014 7.0463838294794 2.9374193199758 5.68893190771847 3.31730182530043 -1.96616045349808 -9.35701861034762 5.50414845116558 0.320948649588118 -0.490878524527787 2.93260999723866 1.8753532094394 0.766905679973021 -0.489395183639758 2.64611432533302 3.91915608369875
United States USA External balance on goods and services (constant LCU) NE.RSB.GNFS.KN -60434812000 -70570026000 -85256613000 -59404794000 -32559043000 -698439000 -41523101000 -69909256000 -70561123000 -45650415000 18005816000 13107942000 -11959862000 -68256263000 -141677926000 -162782784000 -180067142000 -169716091000 -118845804000 -85035613000 -56224371000 -11437769000 -12820201000 -54397550000 -84949067000 -72451919000 -83617468000 -110612740000 -229285543000 -328279422000 -425732929000 -453035157000 -536136361000 -595824905000 -685286111000 -721844393000 -730041474000 -649058786000 -497534417000 -346351242000 -408467792000 -403125152000 -399846606000 -363546787000 -398668650000 -526571000000 -565978559000 -609171714000 -660246283000 -696451476000
United States USA Changes in inventories (current LCU) NE.GDI.STKB.CN 2001000000 8256000000 9107000000 15878000000 13990000000 -6256000000 17116000000 22324000000 25791000000 17984000000 -6331000000 29809000000 -14914000000 -5751000000 65405000000 21824000000 6571000000 27149000000 18482000000 27693000000 14546000000 -394000000 16328000000 20814000000 63785000000 31174000000 30799000000 70927000000 63719000000 60816000000 54544000000 -38284000000 19975000000 14094000000 64068000000 57513000000 68989000000 33950000000 -29241000000 -150772000000 53917000000 46262000000 71212000000 104531000000 83966000000 136785000000 28352000000 16324000000 57736000000 49100000000
United States USA Gross national expenditure (% of GDP) NE.DAB.TOTL.ZS 99.6321635176646 99.9467742627806 100.263620798837 99.711655029971 100.052742513637 99.0518154150029 100.087060401022 101.109314611308 101.078712824763 100.858056113155 100.456933749156 100.390359714653 100.597346303849 101.42106384138 102.54425077391 102.627761047011 102.879467799917 102.981742312132 102.089072762821 101.537512540813 101.305586449028 100.464654118158 100.53278002775 100.950257918609 101.269178053243 101.1749207991 101.193788474892 101.188783394045 101.795355422269 102.656439811772 103.65819253084 103.477006340655 103.889764500606 104.39097061781 105.068688240496 105.532014056355 105.580479702952 104.971176103371 104.914678031465 102.743801042707 103.427831280732 103.728228227491 103.510350021759 102.923963142409 102.896945072435 102.963930426298 102.89942616175 102.967102892538 103.115433655417 102.848245989661
United States USA Households and NPISHs Final consumption expenditure per capita (constant 2010 US$) NE.CON.PRVT.PC.KD 14407.4993282306 14769.783834907 15507.4995416757 16120.3378808057 15839.9139786959 16040.1383519689 16773.9741373787 17307.9569408516 17875.0228854268 18099.0667872896 17870.2571814463 17941.099264935 18031.008889538 18878.3479973423 19700.1844450438 20537.3675059423 21188.4523543557 21712.9976021826 22415.4640795618 22852.1712328788 23050.5627187951 22785.6536737079 23298.8058056273 23794.6191442802 24415.2703792228 24838.1068212307 25402.7131084459 26043.8038046117 27109.1488822921 28211.2554163215 29316.7940240861 29759.2446622172 30241.8080897056 30935.7547542828 31800.7587038965 32631.3252736961 33308.2187438714 33726.2103093518 33337.8754833843 32632.3853884224 32929.5911654633 33310.3224072877 33565.9724743316 33820.9700620812 34569.701292676 35621.9992134911 36346.5371810949 37067.8200567388 37873.6325275718 38604.5490384688
United States USA Military expenditure (current LCU) MS.MIL.XPND.CN 47346552670.2126 49879770605.0578 54650942605.0773 54561215775.4246 53432327058.1665 54561791263.2266 66442751527.3178 78398442240.5239 84329031218.2481 84990165430.7737 83407993004.8882 78237979893.08 80708070966.4935 81469794407.5887 89278920339.82 92080928753.6472 94715251079.7143 104665218971.628 113382063749.093 126879927116.756 143688354872.676 176558875270.821 221673542584.02 223427165005.73 245149168288.537 272163229313.057 295546223803.599 304086648682.908 309661269300.954 321866558808.32 325129313986.031 299372779114.591 325033735954.804 316719443747.423 308084000000 295853097724.661 287960668678.94 293167825790.971 290996055088.378 298094891322.404 320086324211.196 331805610572.137 378463138753.841 440532069586.192 492999376159.397 533203000000 558335000000 589586000000 656756000000 705917000000 738005000000 752288000000 725205000000 679229000000 647789000000 633829639000 639856443000 646752927000 682491400000 731751400000
United States USA Secure Internet servers IT.NET.SECR 767662 930471 1205823 1360046 1633177 2039539 3694357 9863566 21517004 40706354 46678110
United States USA Periodicity and timeliness assessment of statistical capacity (scale 0 - 100) IQ.SCI.PRDC
United States USA CPIA gender equality rating (1=low to 6=high) IQ.CPA.GNDR.XQ
United States USA Lead time to import, median case (days) LP.IMP.DURS.MD 3.9 4.04 2 2 3 2
United States USA Air transport, passengers carried IS.AIR.PSGR 163448992 174143104 191325408 202309200 207612400 204900400 223017296 240144992 273025504 313624000 295329088 281086400 290992608 315600096 340191488 372059104 414554496 441832704 454202912 453161504 464574016 452015904 466964992 469926112 514924000 533512096 571072000 590571392 588170880 634364608 665327414 622187846 598410415 588997110 678110608 720547738 725530965 744302310 701779551 679423408 720497000 730796000 736699000 743171000 762710000 798222000 824039000 849403000 889024000 926737000
United States USA CPIA quality of public administration rating (1=low to 6=high) IQ.CPA.PADM.XQ
United States USA Trademark applications, nonresident, by count IP.TMK.NRCT 62342 68219 77187 88880 88419 76447 82316 91313 96816 101577 110513 128969 156755 185677 194228 212484
United States USA Total tax and contribution rate (% of profit) IC.TAX.TOTL.CP.ZS 43.8 43.8 43.9 44 43.8 43.8 36.6
United States USA Cost of business start-up procedures, female (% of GNI per capita) IC.REG.COST.PC.FE.ZS 1.2 1.2 1.1 1.1 1.1 1 1
United States USA Firms that do not report all sales for tax purposes (% of firms) IC.FRM.INFM.ZS
United States USA Firms experiencing electrical outages (% of firms) IC.ELC.OUTG.ZS
United States USA Human capital index (HCI), male, lower bound (scale 0-1) HD.HCI.OVRL.LB.MA 0.669208228588104 0.715 0.687452614307404 0.673013091087341
United States USA Goods and services expense (current LCU) GC.XPN.GSRV.CN 52410000000 55050000000 55500000000 64040000000 61560000000 71030000000 80460000000 87310000000 107950000000 125750000000 143900000000 168120000000 178050000000 198650000000 213640000000 213350000000 224080000000 237190000000 229420000000 249360000000 246510000000 233090000000 229560000000 219300000000 211290000000 218150000000 217850000000 222860000000 235290000000 151197500000 178856900000 213771800000 242276200000 259573900000 275782000000 283051700000 329678800000 352251200000 383970600000 372650200000 357949000000 320517700000 309090100000 305493900000 311073400000 315679400000 348572200000 379462000000
United States USA Taxes on goods and services (current LCU) GC.TAX.GSRV.CN 15280000000 16050000000 16630000000 16410000000 16830000000 17370000000 18150000000 18540000000 24080000000 40680000000 36140000000 35180000000 37050000000 35670000000 32490000000 32010000000 35020000000 33580000000 34880000000 41860000000 45050000000 47530000000 54630000000 56920000000 53450000000 56060000000 56430000000 68920000000 67130000000 64647200000 66886000000 68749300000 71980500000 74076400000 72560600000 65832100000 64744500000 68302900000 68176900000 76732000000 81661400000 90009400000 98929400000 102196400000 98905400000 92416400000 109466400000 95927400000
United States USA Central government debt, total (current LCU) GC.DOD.TOTL.CN 2207460000000 2440950000000 2713370000000 3002620000000 3308990000000 3450760000000 3606690000000 3773520000000 3784200000000 3727460000000 3633580000000 3410250000000 1604823000000 5887186000000 6444305000000 6922545000000 7372215000000 7663122000000 8056329000000 9425376000000 11006899000000 12812849000000 13996838000000 15251655000000 16126145000000 16886105000000 17645011000000 18523318000000
United States USA Claims on central government, etc. (% GDP) FS.AST.CGOV.GD.ZS 23.7975335910179 24.5126930587609 23.3625846967443 22.3958659567805 21.5925925925926 20.206131504639 18.6557055214724 18.8132760821632 18.0721485411141 15.9765663300324 16.2725716782679 15.5399407649054 14.545738834033 13.1389191343196 12.5259910577171 14.5050994003219 15.5964624973044 14.6847527122824 13.2162838987429 12.434049115948 13.2498887938888 13.9961372504632 16.8524987671172 18.5841755094471 19.2826801379924 20.7374822510088 22.9806287886513 23.4226908592101 21.9688078040836 21.8779668107161 22.5714824260491 25.3786174339641 27.3788569192925 27.8885987566776 27.0753273257515 27.078900105226 24.9331299588932 24.3891777136169 23.1637108149949 21.0251230603544 20.1567729770367 19.7667343908571 21.2316799889748 20.6896048330734 19.5557120684735 18.8253040757551 18.6254828193255 18.8739480105169 17.8572490166131 22.2362207399083 24.1574553623679 32.897977926868 33.9146208011662 34.7347582785148 36.615116772397 35.8193139079261 38.3890866381396 39.8609537464827 39.4968591961996 41.8958566891884
United States USA Net domestic credit (current LCU) FM.AST.DOMS.CN 328965000000 359059000000 393087000000 431819000000 473935000000 522383000000 553832000000 608437000000 667910000000 704545000000 757947000000 847214000000 966022000000 1098771000000 1200357000000 1284359000000 1420463000000 1601672000000 1796192000000 2006459000000 2175843000000 2394036000000 2538829000000 2807648000000 3193478000000 3513979000000 3876964000000 4154397000000 4432979000000 4634575000000 4725201000000 4724873000000 4840131000000 5013763000000 5282665000000 5692398000000 6031793000000 6538337000000 7151936000000 7771525000000 8403924000000 9167012934542.57 9659842556363.49 10229654249204 10959325522254.9 11972561015112.6 13046042508953.7 14258833153158.2 14995378183270.3 14904771564211.8 14611419880914.6 15496870889598.7 16046574755397.8 17394291358804.7 18412573057688.4 18961077987493.9 19892167263146.5 20815140430715.8 21104050847040.5 22288323404303.8
United States USA Marine protected areas (% of territorial waters) ER.MRN.PTMR.ZS 41.08291724 41.0574077685482 41.0574077685482
United States USA Population in urban agglomerations of more than 1 million (% of total population) EN.URB.MCTY.TL.ZS 38.7326062290019 38.8465695107545 39.0132637853949 39.2241843776752 39.461980624215 39.759195174547 40.1030565730566 40.4818556503885 40.90775064024 41.3501161947335 41.5943355831691 41.4104709117263 41.3158935853947 41.2765805133336 41.2629176915092 41.2278807999148 41.2167372210884 41.1904049691472 41.1513772266774 41.1033511808225 41.1337335240401 41.1891169062083 41.2620329442641 41.3564809745415 41.4773179264285 41.5941796540072 41.7016982255667 41.8277796350639 41.9546738432468 42.0709848107318 42.1499621429115 42.2491811638028 42.3327553271946 42.4483138977912 42.6093191094761 42.7911017808456 42.9915046363319 43.1786332278284 43.3895201809653 43.6145337586009 43.7913755280465 43.8094802291709 43.8598992960954 43.9449775404797 44.0064759347353 44.0731446019382 44.1265774620913 44.1907617493296 44.2629381209096 44.36956533864 44.503917808331 44.6919967492035 44.883579534322 45.0981374740317 45.3014132459172 45.5097044362536 45.7317202753289 45.9999372464385 46.3258859113805 46.4865369061604
United States USA CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.BLDG.ZS 19.5403728915984 19.804057299466 19.960343688037 19.0093013755921 18.3390082996382 18.1337089660471 17.9212136593069 18.005396542738 17.4566886302523 17.5210848968976 19.0223184425542 19.061400297102 18.3905862394218 17.0482191021418 16.687412838539 17.03157541843 17.264679884918 16.1287016255044 16.1059924740312 14.8468021711273 13.9484170596723 13.1823406006031 13.7575224516249 13.3678942306125 13.3086579410912 12.7138790114431 12.4821605251227 12.2911431754009 12.4781826481566 12.3419354180899 11.3546210788243 11.6474822408529 11.6784850426909 11.8213191655207 11.4599217266325 11.4301089257625 11.7823311879276 11.1160113702483 10.1276459008159 10.4292470524202 10.6143578183262 10.3745847561345 10.525574211729 10.7953684473246 10.3748373712156 10.0268840303949 9.23601218210316 9.65254156803016 10.0890482290143 10.7657030354286 10.1902918431659 10.2301250412582 9.71209937888199 10.6794404262449 11.0119179863259
United States USA Agricultural nitrous oxide emissions (% of total) EN.ATM.NOXE.AG.ZS 39.93595608098 40.0173957066851 39.7462098779385 40.5135748562613 39.4877052751464 43.6276391232534 41.3062415957355 40.5651740235183 40.5982710888839 40.7353463153633 41.7033972449433 42.4475112167237 44.0657535434565 42.9861622525986 43.5441451228574 43.0007759512488 42.3093049877351 41.5767802210223 38.7901160464186 40.5383286796302 46.1274345393231 46.4338634145426 46.9321445091461 46.4683332581696 46.6987104660976 46.2366001258016 46.2637933838101 47.2483797209935 49.9376969648406 50.6403128796806 51.9339319047619 53.83084803184 53.6253939364351 54.9454346151972 55.6751461594028 55.8606487412195 56.573973827764 56.1672876950774 57.6337436186571
United States USA CO2 emissions (kg per PPP $ of GDP) EN.ATM.CO2E.PP.GD 0.80886913312843 0.782842843824805 0.752958189673616 0.733196935974452 0.699079058370005 0.671870230291597 0.650567659946177 0.625902800257791 0.595952660929256 0.571577335014634 0.555354373688709 0.528812018083088 0.51582781394397 0.495337853377116 0.471279096066564 0.444111917553469 0.412410144394381 0.400573427875075 0.381578909009527 0.36428333136384 0.359892819432451 0.339071570528509 0.313761662787278 0.308037321612169 0.298132245007255 0.281316681479198 0.267502678770543
United States USA GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP.KD 5.27161071960515 5.22344804157379 5.30105670618929 5.35325060794733 5.46677634746253 5.54283886245643 5.62691329612648 5.81860419455473 6.0280635106182 6.14832184654089 6.22623025565524 6.40859075559733 6.44726224359306 6.61640484049577 6.72908123124054 6.93243594509202 7.19848516103954 7.20746571871726 7.38702656378653 7.57298426121722 7.59041108511565 7.7954183183077 8.09435922422358 8.14674697363174 8.22588427788881 8.59651260020118
United States USA Energy intensity level of primary energy (MJ/$2011 PPP GDP) EG.EGY.PRIM.PP.KD 8.66657670426795 8.74349537733587 8.61274699225872 8.52935320875437 8.35152168582419 8.2341349169744 8.10927770625647 7.83913386346723 7.56902635840737 7.42580269733143 7.3353713960741 7.12821680868542 7.08236787119647 6.90496749066525 6.79020605854096 6.60173784003223 6.3694074043804 6.36757144746924 6.22245169027002 6.08456327076516 6.0724792214272 5.90983674958677 5.69299524637643 5.67603563128095 5.62114571317303 5.40839253955352
United States USA Net ODA received (% of GNI) DT.ODA.ODAT.GN.ZS
United States USA Net official flows from UN agencies, UNDP (current US$) DT.NFL.UNDP.CD
United States USA Net financial flows, multilateral (NFL, current US$) DT.NFL.MLAT.CD
United States USA PPG, IDA (DOD, current US$) DT.DOD.MIDA.CD
United States USA Net ODA provided, to the least developed countries (current US$) DC.ODA.TLDC.CD 144520000 206000000 263000000 235000000 227000000 284710000 241780000 229370000 174900000 175000000 167000000 222000000 293000000 454000000 598000000 660000000 314000000 336000000 461000000 532000000 691000000 700000000 782000000 866000000 988000000 1420000000 1056000000 977000000 890000000 866000000 1092000000 1011000000 1155000000 1423000000 1963000000 1261000000 599000000 728000000 629930000 1034820000 1042950000 987030000 2079910000 4231790000 3425630000 4647010000 5307060000 4799800000 7026470000 8031950000 8936160000 10066080000 9125460000 8841210000 8636320000 9121880000 9345700000
United States USA Net bilateral aid flows from DAC donors, Ireland (current US$) DC.DAC.IRLL.CD
United States USA Stocks traded, turnover ratio of domestic shares (%) CM.MKT.TRNR 69.1829222767243 63.8363194876137 85.9641129731008 113.634607946061 70.688612170756 69.231498380242 65.6903258612516 51.4435202733189 55.665113013117 65.4039272301037 71.0184670580032 74.4909584630437 82.1354691829972 86.0299264364456 95.2227558273967 127.327816417671 197.130901217527 149.3426659361 154.262691970549 112.468699193191 117.02673405454 151.711060019997 156.276866350545 215.098752186887 407.630401072234 227.536847984782 208.438562012596 262.427696555079 173.285235302483 138.32933673731 148.028007648241 165.147847098644 94.7188501035539 116.078469067986 108.512636257038
United States USA Exports of goods, services and primary income (BoP, current US$) BX.GSR.TOTL.CD 65650000000 68820000000 77500000000 110230000000 146710000000 155790000000 171610000000 184300000000 219995000000 287640300000 344458000000 380945000000 361487000000 351281000000 395904000000 382741000000 407105000000 457056000000 567855000000 648353000000 707008000000 727577000000 750629900000 778935000000 869771000000 1004661000000 1077761700000 1191279100000 1195009200000 1279060000000 1448571000000 1326729000000 1292488000000 1375113000000 1600958000000 1827799000000 2133910000000 2477749000000 2669828000000 2246010000000 2595544000000 2935025000000 3039135000000 3124799000000 3238195000000 3104850000000 3095740000000 3384915000000 3647851000000 3663958000000
United States USA Foreign direct investment, net (BoP, current US$) BN.KLT.DINV.CD 5270000000 4850000000 6060000000 7410000000 1620000000 11420000000 8410000000 8360000000 8870000000 16670000000 2300000000 -15570000000 -13456000000 -2730000000 -12410000000 -5950000000 -11422000000 -23438000000 -35209000000 -24800000000 -11290000000 14720000000 28460000000 32570000000 34050000000 40980000000 5360000000 -770000000 -36390000000 -64964000000 -162755000000 -26455000000 67930000000 78112000000 160363000000 -89753000000 -14662000000 177277000000 2491000000 151514000000 85789000000 173119000000 126895000000 104665000000 135673000000 -209363000000 -174573000000 38381000000 -412780000000 -163161000000
United States USA Service imports (BoP, current US$) BM.GSR.NFSV.CD 14650000000 15570000000 17050000000 19090000000 21660000000 22270000000 24910000000 27630000000 31690000000 36230000000 40970000000 44880000000 51040000000 54260000000 66910000000 72030000000 80158000000 90786000000 98615000000 102510000000 117670000000 118500000000 119552000000 123771000000 133075000000 141410000000 152550000000 165953000000 180676000000 196743000000 220929000000 222038000000 233479000000 252342000000 290605000000 312222000000 349331000000 385465000000 420650000000 407541000000 436450000000 458189000000 469611000000 465817000000 490930000000 497761000000 511899000000 544833000000 562069000000 588363000000
United States USA Land area (sq. km) AG.LND.TOTL.K2 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9158960 9161920 9161920 9161920 9161920 9161920 9161920 9161920 9161920 9147420 9147420 9147420 9147420 9147420 9147420 9147420 9147420 9147420 9147420 9147420
United States USA Agricultural land (sq. km) AG.LND.AGRI.K2 4475090 4439910 4414430 4390120 4358730 4355500 4353070 4357950 4354470 4344000 4333000 4323000 4312000 4301580 4301580 4301580 4303310 4281630 4281630 4281630 4281630 4313990 4313990 4313990 4313990 4313990 4269480 4269480 4269480 4269480 4269480 4254290 4229480 4211390 4201390 4163060 4148850 4145880 4138870 4143990 4149440 4130640 4139250 4115210 4117840 4092148.125 4128575.9375 4133125.9375 4099606.875 4084261.875 4046693.125 4087065 4058416.875 4078655 4058625 4058625
United States USA Computer, communications and other services (% of commercial service exports) TX.VAL.OTHR.ZS.WT 36.7983367983368 38.0228136882129 37.6612209802236 35.8664772727273 35.3565114908662 37.3340414232608 35.8133086876155 36.1793876670979 36.21138816524 31.1034454566323 30.8580425085279 28.2703172533681 35.3982300884956 35.9913793103448 32.2276293574337 32.161025624872 31.2384843387006 30.6479922202984 30.7408915123143 31.4769765421373 31.0470658325886 32.5391513853567 33.3125757434511 33.1609007541944 36.139575730798 35.8981935799462 36.6672614880601 37.5445544554455 39.5873356453182 39.0254209016302 37.9801084928358 40.8012557913588 42.978089070212 43.4872516045902 42.8218744737665 43.0236947757966 44.0055464078343 44.68537316451 44.6707532594986 47.2033391775582 45.2701058036547 45.3014205735247 45.1377298641564 44.5955804890215 44.7548737598506 45.548044977936 46.7470341358265 47.3838443163422 47.6446904402701 48.8622073774574
United States USA Manufactures exports (% of merchandise exports) TX.VAL.MANF.ZS.UN 62.9126622509305 61.2911428770419 61.8557474464887 61.9737081097107 62.0351378239225 64.9229906956001 67.6561980813266 69.2467462793064 66.6956691172375 68.5574962159667 67.5973690424994 62.1850953772855 63.8642580051731 65.6501729684243 67.1620361881669 67.2950818077173 66.7243465896148 66.0060111529252 65.5455342332679 67.2907747941275 66.9404688079719 67.1310983030659 67.2599773600832 69.9060613657017 71.9834309711838 70.1902624261512 68.8338831328478 74.0477577051374 75.841567353322 76.3092114891056 76.6448361500997 77.9732341747994 77.1321288965062 77.7788420635358 80.4499885131812 81.9358316107263 82.819868633866 82.3673615352238 81.6713505049246 81.5341182079117 80.2980440972116 74.4088619671752 73.1628361992086 78.7160112066687 76.9365708821373 73.1451149111758 66.1708399327287 65.4495863199635 62.1334402967578 62.0211239166852 61.1842457384105 61.4220037474881 63.714652913968 63.2604944642148 61.3709368426107 58.9112091123552 59.1142325655324
United States USA Merchandise imports by the reporting economy (current US$) TM.VAL.MRCH.WL.CD 16170700000 15738600000 17522900000 18374900000 20078500000 22912900000 27730300000 28748300000 35359300000 38400900000 42692500000 48743100000 59337000000 74288600000 110107000000 105516000000 132224000000 160441000000 186068000000 222399000000 257080000000 273453000000 254929000000 269919000000 341221000000 361679000000 387117000000 424115000000 459784000000 493333000000 517014000000 509317000000 552608000000 603000000000 689362000000 771084000000 817846000000 898713000000 944693000000 1048480000000 1238250000000 1180170000000 1202410000000 1305310000000 1525470000000 1732490000000 1919200000000 2017390000000 2165990000000 1603570000000 1968120000000 2207950000000 2276270000000 2268370000000 2347680000000 2241660000000 2189180000000 2342670000000 2542730000000 2498400000000
United States USA Fuel imports (% of merchandise imports) TM.VAL.FUEL.ZS.UN 11.2540966235365 11.066751961182 10.731841223005 10.4012048421429 8.85303822604746 8.3908813090519 7.63612711346717 7.75199925953663 7.69614374067085 8.15302560741966 8.63700348152716 11.7644829797523 25.1259832664004 27.2475068019664 27.8571293508301 29.8932414834829 24.5260386422481 29.2897426386137 32.8449424440842 31.0680691408775 26.6462297017899 22.3901787828562 18.650535040191 15.5229955807173 10.4277996696584 11.0658247588346 11.3779060665485 13.2826591949444 11.4464283426344 10.5984692954486 9.82187561152718 8.7220016964432 8.17103004284548 9.42517233087528 9.19186222125275 6.58147473368347 7.48412629027739 11.1144488011398 10.6865431218885 10.0472724397322 12.3571725414803 14.2378875853075 17.3735175973441 17.9812057121992 18.4545480379112 23.1826050327869 17.4222615062111 18.4975476506593 20.4396733778424 18.6356281002768 16.7596239404597 14.8499412779093 8.6649917666568 7.256490310232 8.4786032126974 9.24830824405038 8.17781898943691
United States USA Tariff rate, applied, simple mean, all products (%) TM.TAX.MRCH.SM.AR.ZS 5.28 5.2 5.31 5.25 5.12 4.59 4.44 4.34 4.49 3.88 3.87 3.82 3.98 3.53 3.31 3.23 3.14 3.01 3.1 3 2.96 3.03 2.99 2.87 2.93 2.8 2.76 3.36 3.25 8.7
United States USA International tourism, expenditures for travel items (current US$) ST.INT.TVLX.CD 46379000000 49672000000 53808000000 58451000000 58864000000 64174000000 60525000000 59017000000 61244000000 70332000000 74111000000 78374000000 82605000000 84318000000 82510000000 85165000000 86623000000 90340000000 91117000000 96248000000 102666000000 109156000000 117971000000 126009000000 134594000000
United States USA Completeness of birth registration (%) SP.REG.BRTH.ZS 100 100 100
United States USA Sex ratio at birth (male births per female births) SP.POP.BRTH.MF 1.05 1.052 1.053 1.052 1.051 1.05 1.049 1.049 1.048 1.048 1.048 1.048 1.048 1.048 1.048 1.048 1.048 1.048 1.047 1.047 1.047 1.047
United States USA Population ages 60-64, female (% of female population) SP.POP.6064.FE.5Y 4.26022223041197 4.28330848430456 4.32317492322964 4.36669727013581 4.40422922339127 4.43904301728563 4.49179063085767 4.53521611093164 4.55881088300549 4.56276129669406 4.55785774882052 4.58311073213933 4.59517807979674 4.58422913252236 4.55921726933323 4.53854009095465 4.54852265592527 4.57128301461602 4.59649736107235 4.62250731332391 4.65457111050411 4.69267922080067 4.73892940808323 4.77362541402401 4.78205683622164 4.76298981994921 4.72836063264103 4.68069688493319 4.61499483413289 4.53135514440733 4.4345668550524 4.31808111326195 4.199039760508 4.084235330905 3.98717089792664 3.91759599259346 3.86518194113499 3.84641065782462 3.85714351030504 3.89219210072203 3.94808996860888 4.02329314023576 4.11528724024039 4.22785554777975 4.36863318806956 4.54032629573596 4.7239858249463 4.93812507250682 5.16260723030044 5.37096742104644 5.54907991089725 5.68108987542545 5.78616074663233 5.87262175815579 5.95528775092073 6.0420134058646 6.12321902884086 6.20346890992516 6.27494688623985 6.32627552281504
United States USA Population ages 20-24, female (% of female population) SP.POP.2024.FE.5Y 6.14358026318404 6.2010471206815 6.30698184005699 6.46325481612053 6.66350807568218 6.8933634572671 7.11841376747848 7.36843611197794 7.63032328377369 7.87832180788996 8.09155469941018 8.27869867025184 8.41681350621693 8.52582425145481 8.63072196217276 8.74077590014181 8.83516310813078 8.93140837028097 9.01908312692947 9.07511182949304 9.08198138255007 9.04268792346064 8.96013313003756 8.83849314668023 8.68192719981329 8.49401913374776 8.25672543021078 8.00040687488862 7.74826786267729 7.51971011162024 7.32133313218889 7.14432708832438 6.98411103627291 6.84462051886999 6.72619318084977 6.62944969094497 6.59028241358475 6.56556343762142 6.54693071876264 6.53250975594219 6.52674151118418 6.54936378776057 6.58603646378451 6.63324986451337 6.68591141806568 6.73898688782742 6.76310738478259 6.78191809887213 6.79327027380077 6.79814471710863 6.79957096572781 6.8462247063931 6.90064952057577 6.94942411945335 6.97229136664707 6.95553920977277 6.90822244522764 6.8255745277227 6.72341594882102 6.62446556190692
United States USA Population ages 0-14, male SP.POP.0014.MA.IN 28312643 28891218 29295219 29557749 29741107 29842881 29879415 29858649 29765199 29617748 29483683 29175891 28831536 28447756 28023066 27591284 27442951 27243554 27024321 26837461 26666196 26523568 26435192 26398085 26397724 26446104 26619772 26823931 27064798 27339420 27680873 28210030 28746975 29233491 29642373 29986926 30382286 30696095 30932373 31140200 31330276 31396354 31501156 31584885 31622791 31577348 31782381 31886002 31928302 31946371 31967004 31898118 31801547 31687668 31593585 31510030 31404869 31327678 31239420 31117936
United States USA Mortality rate, infant, male (per 1,000 live births) SP.DYN.IMRT.MA.IN 29.2 28.6 28.1 27.5 26.8 26.1 25.5 24.8 24 23.2 22.3 21.4 20.6 19.6 18.7 17.7 16.8 16.1 15.3 14.6 14 13.4 12.9 12.4 12.1 11.9 11.6 11.3 11 10.7 10.4 10.1 9.7 9.4 9 8.7 8.4 8.2 8 7.9 7.8 7.7 7.6 7.6 7.5 7.4 7.3 7.2 7.1 6.9 6.8 6.7 6.6 6.5 6.4 6.3 6.3 6.2 6.1 6
United States USA International migrant stock, total SM.POP.TOTL 10825599 11354439 11973787 13991349 16364410 19491741 23251026 28451053 34814053 39258293 44183643 46627102
United States USA Unemployment with intermediate education (% of total labor force with intermediate education) SL.UEM.INTM.ZS 7.1399998664856 6.55999994277954 6.42000007629395 6 5.46000003814697 5.01000022888184 4.78999996185303 5.63000011444092 6.94000005722046 7.23000001907349 6.73999977111816 6.34999990463257 5.82999992370605 5.90000009536743 7.42000007629395 11.7299995422363 12.3199996948242 11.5699996948242 10.4200000762939 9.68000030517578 8.09000015258789 7.09000015258789 6.46999979019165 5.76999998092651 5.17000007629395 4.84000015258789 10.460000038147
United States USA Labor force, female (% of total labor force) SL.TLF.TOTL.FE.ZS 44.3081381403233 44.4272942310488 44.5686860724376 44.6853361306382 45.1603888961064 45.2116062435604 45.2983641608577 45.4693962936867 45.4913294186494 45.544381686232 45.5591313216373 45.6176972252852 45.6730114351385 45.8192939118502 45.7564018154101 45.7895845129465 45.7686893640749 45.8278496648678 45.9726112056786 46.1763756676936 46.1839672913795 46.1151950542446 45.9403054004859 45.9124044835615 45.9645285602769 45.8652673418341 45.8708419664257 46.0255837180347 46.0599759042834 46.1636258512372
United States USA Labor force with basic education, male (% of male working-age population with basic education) SL.TLF.BASC.MA.ZS 47.1199989318848 47.5999984741211 48.3400001525879 49.5 49.1800003051758 49.0699996948242 51.9099998474121 51.8800010681152 52.4599990844727 52.7000007629395 53.6100006103516 53.7200012207031 55.0699996948242 55.0699996948242 54.4799995422363 53.5800018310547 53.7000007629395 52.3600006103516 52.3699989318848 52.7999992370605 52.6800003051758 52.8800010681152 52.810001373291 52.689998626709 53.7999992370605 54.2599983215332 52.8300018310547
United States USA Average working hours of children, working only, ages 7-14 (hours per week) SL.TLF.0714.WK.TM
United States USA Child employment in services (% of economically active children ages 7-14) SL.SRV.0714.ZS
United States USA Children in employment, unpaid family workers (% of children in employment, ages 7-14) SL.FAM.0714.ZS
United States USA Self-employed, total (% of total employment) (modeled ILO estimate) SL.EMP.SELF.ZS 9.02000045776367 8.69999980926514 8.81999969482422 8.80000019073486 8.5600004196167 8.4399995803833 8.27999973297119 7.94999980926514 7.65999984741211 7.57000017166138 7.48000001907349 7.3600001335144 7.57000017166138 7.57000017166138 7.46999979019165 7.40000009536743 7.21999979019165 7.01999998092651 7.09000015258789 7.05000019073486 6.82000017166138 6.75 6.59999990463257 6.44999980926514 6.44000005722046 6.3899998664856 6.25 6.28000020980835 6.09000015258789
United States USA Child employment in agriculture, male (% of male economically active children ages 7-14) SL.AGR.0714.MA.ZS
United States USA Multidimensional poverty index, children (population ages 0-17) (scale 0-1) SI.POV.MDIM.17.XQ
United States USA Domestic private health expenditure per capita, PPP (current international $) SH.XPD.PVTD.PP.CD 2547.41821289 2695.82714844 2925.86938477 3162.62207031 3341.92138672 3524.86938477 3661.83251953 3843.60302734 3894.87768555 3964.64331055 4073.08666992 4173.13623047 4321.23144531 4388.68896484 4493.27587891 4679.18115234 4900.68066406 5078.86181641 5268.0625
United States USA Current health expenditure (% of GDP) SH.XPD.CHEX.GD.ZS 12.54207516 13.2191925 14.00746441 14.52157784 14.60988235 14.60567665 14.70215797 14.91858959 15.28626251 16.28372383 16.34537888 16.29982948 16.28528976 16.21042252 16.40644836 16.71075249 17.04898262 17.00361443 16.88529778
United States USA Tuberculosis case detection rate (%, all forms) SH.TBS.DTEC.ZS 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87
United States USA People using safely managed sanitation services (% of population) SH.STA.SMSS.ZS 88.1927713938516 88.307274484864 88.4212908522189 88.5351260423479 88.6490757436368 88.7622279911886 88.8754953188679 88.9885776386777 89.1014683132323 89.214164993094 89.3263609098093 89.440504173118 89.5556824408661 89.6725115320334 89.7906822591462 89.8483291390204 89.906899193335 89.9669981106111
United States USA Prevalence of underweight, weight for age (% of children under 5) SH.STA.MALN.ZS 0.9 1.1 1.1 0.8 0.5
United States USA Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) SH.STA.AIRP.P5 13.3
United States USA Specialist surgical workforce (per 100,000 population) SH.MED.SAOP.P5 64.56 54.71
United States USA Antiretroviral therapy coverage (% of people living with HIV) SH.HIV.ARTC.ZS
United States USA Mortality rate, under-5, female (per 1,000 live births) SH.DYN.MORT.FE 26.2 25.8 25.3 24.8 24.3 23.7 23.1 22.5 21.7 21.1 20.4 19.6 18.7 18 17.2 16.6 15.8 15.1 14.4 13.8 13.3 12.8 12.3 11.9 11.6 11.2 11 10.8 10.5 10.3 9.9 9.6 9.3 9 8.8 8.5 8.2 8 7.9 7.7 7.6 7.5 7.4 7.3 7.2 7.1 7.1 7 6.9 6.7 6.6 6.5 6.4 6.3 6.2 6.2 6.1 6 6 5.9
United States USA Number of deaths ages 10-14 years SH.DTH.1014 4625 4582 4577 4592 4607 4603 4568 4504 4419 4324 4229 4151 4087 4023 3937 3815 3657 3485 3318 3177 3074 2997 2958 2950 2967 3005 3075 3146 3204 3229
United States USA Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of women age 15-49) SG.VAW.1549.ZS
United States USA Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) SE.XPD.CTER.ZS 89.6346969604492 89.1358184814453 90.0581512451172 95.3379135131836 90.2927169799805
United States USA Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.DO.FE.ZS 1.1878000497818 1.26415002346039 1.36390995979309 1.48143005371094 1.64228999614716
United States USA Trained teachers in lower secondary education, male (% of male teachers) SE.SEC.TCAQ.LO.MA.ZS
United States USA Pupil-teacher ratio, secondary SE.SEC.ENRL.TC.ZS 14.78683 14.69697 14.62452
United States USA Lower secondary completion rate, total (% of relevant age group) SE.SEC.CMPT.LO.ZS 104.852256774902 103.384170532227
United States USA Trained teachers in primary education, male (% of male teachers) SE.PRM.TCAQ.MA.ZS
United States USA Net intake rate in grade 1, male (% of official school-age population) SE.PRM.NINT.MA.ZS 74.35566 75.73483 69.58227 71.74905 70.01388
United States USA Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) SE.PRM.CUAT.MA.ZS 93.9406204223633 96.1880187988281 98.3300628662109 98.3439407348633 98.4389038085938 98.6171188354492 98.5647964477539 98.6701889038086 98.731819152832 98.7496109008789 98.8650588989258 98.8226089477539 98.7804336547852 98.8551330566406 99.0813293457031
United States USA School enrollment, primary and secondary (gross), gender parity index (GPI) SE.ENR.PRSC.FM.ZS 1.03886997699738 1.03232002258301 1.02068996429443 1.02276003360748 1.02069997787476 1.0229400396347 1.01155996322632 0.997739970684052 0.99838000535965 0.988919973373413 0.991439998149872 1.00136005878448 0.993629992008209 1.03120994567871 0.999350011348724 1.00731003284454 1.00125002861023 1.00255000591278 1.00766003131866 1.00387001037598 1.00162994861603 1.00309002399445 0.9998499751091 1.00978994369507 1.00080001354218 1.00434005260468 0.994899988174438 0.997099995613098 1.00423002243042 1.00507998466492 0.996259987354279 0.993629992008209 0.994700014591217
United States USA Coverage of social insurance programs (% of population) per_si_allsi.cov_pop_tot
United States USA Coverage of unemployment benefits and ALMP (% of population) per_lm_alllm.cov_pop_tot
United States USA Taxes less subsidies on products (current LCU) NY.TAX.NIND.CN 319253019000 334927816000 346753049000 366923542000 358121013000 383625131000 405028344000 442347093000 471698368000 511478257000 518022793000 521960279000 471536467000 509119399000 544499516000 572832043000 609931736000 643818276000 662857554000 668279317000 686364081000 742205366000
United States USA GNI, PPP (constant 2017 international $) NY.GNP.MKTP.PP.KD 10187922647412.2 10170209263063.5 10524607183283.4 10811964389811.6 11232029023079.2 11539291039587.7 11976549907550 12495522186335.4 13045300360736.7 13675240018615.2 14250327127933.6 14409826068175.7 14654078019969 15087547497363 15680779683454.9 16224562795886.1 16649474290764.6 17026946345521.9 17051670783849.2 16609983254605.8 17089280393889.2 17389963618175.5 17766533604213.9 18084042782156.8 18541456493264 19055662719112.8 19355629972264 19830277000000.1 20422187979598.1
United States USA GDP per capita, PPP (current international $) NY.GDP.PCAP.PP.CD 23888.6000088133 24342.2589048189 25418.9907763319 26387.2937338171 27694.853416234 28690.8757013347 29967.7127181749 31459.1389804773 32853.6769523009 34513.5615037271 36334.9087770589 37133.2428088526 38023.1611144021 39496.4858751381 41712.8010675545 44114.7477810544 46298.7314440927 47975.9676958038 48382.5584490552 47099.9804711343 48467.5157769259 49886.8181094923 51610.6052783379 53117.6678498178 55064.7445483427 56839.3817742317 57951.5840820997 60062.2223132215 62996.4712852608 65297.5175082743
United States USA Forest rents (% of GDP) NY.GDP.FRST.RT.ZS 0.108947113521148 0.129652486550954 0.120869426209631 0.157690320878497 0.147974848686089 0.159835737962987 0.151763854511815 0.153280344264277 0.171731965435804 0.182517620119733 0.150946210614082 0.117360494266399 0.126035878001308 0.106904368109171 0.101097750756273 0.0872045409630022 0.103213305183704 0.108795099910109 0.11094147826543 0.113603154014383 0.125224517696944 0.101773585045929 0.101879536315234 0.134981638671192 0.116394521351007 0.117525229163249 0.107446175266097 0.102145809006939 0.0749014242524199 0.0773687369918398 0.0726189397218115 0.05912124135339 0.0566263527239967 0.0567744571348762 0.0606383446356904 0.0579175969120409 0.0591519871381932 0.0620702352877441 0.0489138435310873 0.0364835415377636 0.0449432138230679 0.0492161324243696 0.0424650693758053 0.0452646155184744 0.0439620879756484 0.0360846228554303 0.0356971211142783 0.039281019900625 0.0419488343379562
United States USA Adjusted net savings, including particulate emission damage (current US$) NY.ADJ.SVNG.CD 389140226314.765 410133975285.951 444385513846.031 407398360101.9 529724493556.592 571744627391.75 675962703595.849 844763901736.572 915092992901.877 913747134754.592 931901078109.417 841457626896.776 739653097048.373 683339645503.458 727415913839.662 767177514939.807 985887482301.649 739885899681.29 301267448990.567 138255647422.75 465816299485.698 668789677502.235 1014618830027.81 1081876972894.64 1325676072002.36 1406460588574.97 1142503287210.33 1174192622054.44 1174840454310.11
United States USA Adjusted savings: mineral depletion (current US$) NY.ADJ.DMIN.CD 1141370946.99071 698124261.263988 710972255.536718 1536557101.23997 2619398552.54584 1843258578.02993 1290043188.04111 1828567408.99559 912799338.618638 1796787122.44705 2181556330.71009 1766847835.17542 945070595.999738 1136979180.77773 751168250.289979 852124722.972551 637930802.227566 1094206420.53412 3907159160.81578 1868184826.43379 1794950392.56679 1200834230.40424 1185402417.99504 746664240.500064 1445995708.40815 1993177324.49686 1363673983.54813 1410644138.15213 600143632.855695 686225116.600283 857924798.993751 657226026.813642 617703775.396744 734533353.844169 1692520222.89769 2376358160.20988 6720032591.4648 8170265073.66991 11791399554.7193 8386500724.63409 10933786877.408 14650689956.6856 15077327375.6193 12598041375.6968 10735528497.2948 9551233478.84253 9838531825.25127 10659328202.818 9505475766.39369
United States USA Textiles and clothing (% of value added in manufacturing) NV.MNF.TXTL.ZS.UN 8.44643975777824 8.39624019870452 8.24331503453161 7.94648936596307 8.02587262706675 8.13454366335937 7.97469188690437 7.98115791935322 8.09525329587895 8.03050059527184 7.63441924943064 6.96946835892429 6.85164598316582 6.9096192738911 6.82227752510083 6.54931084013325 5.9808965971224 6.18391998960904 6.07288420043155 6.05131201012609 6.15277904120804 5.70976952885988 5.32997470996748 5.32052895506205 5.44609425435765 5.12859534317456 5.01211991040471 4.91411455930293 4.99706055261611 5.0687201619102 4.98193235397738 4.85565185949181 4.5431412338377 4.54314123376561 4.19010520461169 3.91182474174755 3.68694397083933 3.42789346502037 3.2730957005758 2.99880815450364 2.891287059656 2.45388864548519 2.34014414079248 2.22527084027751 1.85926531128834 1.58035750325715 1.51216036303388 1.4595293474952 1.41206910794955 1.3164626506496 1.32318312534579 1.31318793885738 1.27094909333211 1.25422670205477 1.20800294287306 1.20800294285985
United States USA Manufacturing, value added (current LCU) NV.IND.MANF.CN 1379886400000 1429598421000 1488256019000 1549834603000 1473245581000 1470447377000 1525789278000 1609792760000 1693860366000 1795086802000 1847304576000 1803162351000 1695072536000 1788954408000 1857682037000 1919702813000 1981753561000 2042339457000 2118871486000 2095858073000 2179910378000 2317176890000
United States USA External balance on goods and services (current US$) NE.RSB.GNFS.CD 3949000000 621000000 -3373000000 4111000000 -815000000 15976000000 -1631000000 -23094000000 -25367000000 -22544000000 -13056000000 -12519000000 -19974000000 -51642000000 -102726000000 -114018000000 -131869000000 -144770000000 -109392000000 -86742000000 -77854000000 -28613000000 -34738000000 -65174000000 -92487000000 -89762000000 -96377000000 -101971000000 -162711000000 -255834000000 -375050000000 -367929000000 -425402000000 -503127000000 -619075000000 -721193000000 -770925000000 -718427000000 -723088000000 -396451000000 -513903000000 -579461000000 -568571000000 -490782000000 -507658000000 -526571000000 -512512000000 -555533000000 -609460000000 -610470000000
United States USA Gross fixed capital formation (% of GDP) NE.GDI.FTOT.ZS 21.8686430408644 22.2178569023191 21.7895826093372 20.6487728677717 21.1247712729501 22.4539418760261 23.7350415610825 24.4266240988013 23.5318780936035 23.3473711912722 22.5161037374069 22.4112406089314 23.4759002410583 23.6853416437369 23.5971413417369 23.0610590880116 22.4748579091359 22.0229262015251 21.2852817238692 20.1170193089492 19.8271651099707 20.090153048184 20.4037991908043 20.8645990856506 21.3203021086514 21.5828300395015 22.2552516782792 22.7888851066391 23.1431335232658 22.5387379929261 21.5255010655337 21.6192204178533 22.1340179355788 22.9391388213526 23.0397939154078 22.3575671262087 21.317768217301 18.8480630042923 18.3834665618302 18.8058790264106 19.581228381648 19.7909791217644 20.3271907651342 20.4281996026708 20.2961582114344 20.4880297939324 20.7919377039534 20.7852051762996
United States USA Gross national expenditure (constant 2010 US$) NE.DAB.TOTL.KD 4909982837371.42 5074720955819.78 5342796100874.53 5585044657016.36 5528874605903.79 5517879179932.89 5844260157031.63 6129810212643.49 6436524865980.62 6589166848592 6499026101726.21 6651605429731.21 6620197251283.69 6996285239355.94 7533602865548.95 7879165329247.66 8176276667372.8 8435916529596.13 8719262380703.84 8986895891641.4 9128763343527.83 9080735988762.61 9396305561963.93 9699346891708.9 10110897727421.8 10365490407756.6 10756259904583 11248250292058 11865021398715 12513083891129.7 13113287748257.8 13278935141704.9 13587860520012.6 14018540784225.5 14613257291557.9 15137413815346.6 15560401322420.3 15765171766168.4 15596621935232.8 15061776822390.4 15505955000000 15740646628381.3 16085246351114.9 16339399647456.7 16781096547495.7 17408813483374.1 17732687624696.2 18173216378574.5 18749673901578.2 19175573119985.9
United States USA Households and NPISHs Final consumption expenditure (annual % growth) NE.CON.PRVT.KD.ZG 3.81890946232922 6.12479371125791 4.94883043357962 -0.83768564712517 2.26743754942183 5.57342531369251 4.22642684916023 4.37643704087229 2.37698802021198 -0.312187491764362 1.3865813698996 1.46381416041572 5.66108242099203 5.2607600925755 5.17751166645067 4.12812671882756 3.39568127844802 4.17687843473351 2.9156061015193 2.01406942810422 0.180516573131769 3.68008330813016 3.48372442899978 3.87439718602951 2.95050351915691 3.46995146739427 3.76551472648123 5.3110884673174 5.26735425123954 5.08161943096827 2.5188723147885 2.56878770229341 3.17765301236118 3.75190776490584 3.56194069464225 3.06338381904743 2.22250426402213 -0.212023276430401 -1.25430987536794 1.74962261497478 1.88716882096587 1.5030020251444 1.45406290843016 2.96014278035597 3.79962800541544 2.76783488974976 2.63002569522813 2.70897551205609 2.41412917904782
United States USA Armed forces personnel (% of total labor force) MS.MIL.TOTL.TF.ZS 1.70382663048197 1.64713320777258 1.46717711592501 1.37604099864255 1.27636454333803 1.19648797859501 1.1342708096125 1.08702450334579 1.11618566335422 1.08784288471013 0.991424140297338 0.961878136424651 0.987630483608717 0.992289900766384 0.980616866060205 1.01663958871891 0.973192477689904 1.00181862615593 0.980773277316319 0.995421108471576 1.00022807298392 0.968368705419469 0.940583251375305 0.902753621217431 0.865757717484951 0.838895042044999 0.829515086790261 0.827359395673806 0.833841697975817
United States USA Logistics performance index: Overall (1=low to 5=high) LP.LPI.OVRL.XQ 3.84 3.86 3.93 3.917825 3.992172 3.89
United States USA Container port traffic (TEU: 20 foot equivalent units) IS.SHP.GOOD.TU 28300000 27307576 29676890 32689484 34901628 38497839 40896742 44839390 42411770.0512 37353574.903 42031000 42550780 43538250 44340870 46233010 47886450 48436470 52132840 54776340 55518880
United States USA CPIA efficiency of revenue mobilization rating (1=low to 6=high) IQ.CPA.REVN.XQ
United States USA CPIA business regulatory environment rating (1=low to 6=high) IQ.CPA.BREG.XQ
United States USA Investment in transport with private participation (current US$) IE.PPI.TRAN.CD
United States USA Time required to start a business, male (days) IC.REG.DURS.MA 6.2 5.6 5.6 5.6 5.6 5.6 4.2
United States USA Firms offering formal training (% of firms) IC.FRM.TRNG.ZS
United States USA Time to export, documentary compliance (hours) IC.EXP.TMDC 1.5 1.5 1.5 1.5 1.5 1.5
United States USA Ease of doing business score (0 = lowest performance to 100 = best performance) IC.BUS.DFRN.XQ 83.59247 83.58991 83.59008 83.57395 83.99668
United States USA Other expense (current LCU) GC.XPN.OTHR.CN 68040000000 78270000000 16730000000 19920000000 14900000000 12450000000 9150000000 8260000000 8900000000 11170000000 14730000000 157991600000 164011200000 180745000000 190094500000 216816400000 210289200000 229838900000 401348200000 369874700000 304088600000 298686700000 283942500000 268395500000 271682200000 268921000000 267883000000 284421800000 283309400000 290574900000
United States USA Taxes on international trade (current LCU) GC.TAX.INTT.CN 3500000000 3400000000 3590000000 4360000000 6240000000 5480000000 6950000000 7830000000 7600000000 8240000000 8980000000 8740000000 11600000000 12360000000 13650000000 15350000000 16570000000 16630000000 17090000000 16350000000 17800000000 19250000000 20620000000 19810000000 19060000000 18410000000 19650000000 19830000000 21460000000 20636000000 19938000000 21458100000 23282900000 25334900000 26687000000 28793000000 29243100000 23081000000 28603000000 31891000000 33503000000 35468000000 37363100000 38123000000 37534000000 38513100000 53284000000 77751700000
United States USA Net investment in nonfinancial assets (% of GDP) GC.NFN.TOTL.GD.ZS 0.275191343981362 0.228010012796624 0.184437010877901 0.236808743999658 0.275967059034532 0.286767482008583 0.33424065922804 0.342552564691052 0.330031039716768 0.433733016281046 0.402537361059565 0.38029321652663 0.367048550715485 0.343398758094934 0.312688948083372 0.333455881974331 0.333241795281449 0.309133256995381 0.313425266939722 0.317953716136833 0.328817864502808 0.325286988126806 0.316855389341034 0.226185441432696 0.327630376451638 0.257299444855043 0.306747850176064 0.39093876819193 0.416002368919003 1.48388442858088 1.59960951693796 1.65794167084144 1.66934273346057 1.63839759502207 1.56697132849227 1.66728035289747 1.68381448607486 1.85680146441125 1.93755321762483 1.83127241283463 1.68910832788436 1.53028482413301 1.43238235443433 1.22746023528928 1.32818340436941
United States USA Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) FX.OWN.TOTL.60.ZS 94.1973571777344 97.3667297363281 98.3672180175781
United States USA Broad money (% of GDP) FM.LBL.BMNY.GD.ZS 60.0476716362967 62.6616367832416 63.544372830937 65.8208581271531 66.826334208224 66.9365335484738 63.9635582822086 66.7146338632935 66.3500265251989 61.9023433669968 65.4016619724346 68.6713310726703 71.0361110459616 70.2335383786453 69.871534768318 70.6022420268454 69.9801218311829 70.5532066560798 69.4992215934775 68.2967220764471 69.5063918577878 69.3976567815451 73.2369775724485 72.9613724457477 73.8990586765002 74.4692242115023 77.1709336407235 75.7492716594425 75.0041917807487 73.3197083086653 71.2235190027274 70.0032428680854 66.0133609863432 63.1321973026696 59.658847332514 60.8150738983702 62.077087401875 63.1025897548551 65.4584133519398 67.4559808517764 68.5048316471752 71.6370075845111 72.400286432372 72.146161458598 71.5699500837885 72.4657113341183 74.5413606984769 79.6008859504459 84.5808991266246 90.8735474116643 85.1709162409225 87.6447575211559 88.2260439163248 88.9682523214402 89.6122575564272 88.8911436680671 89.8947225819708 90.32897008022 89.1259356028034 92.759102078186
United States USA Commercial bank branches (per 100,000 adults) FB.CBK.BRCH.P5 32.69 33.28 33.94 34.77 35.16 35.91 35.42 35.15 34.9 33.65 32.43 32.71 32.11 31.22 30.9 30.46
United States USA Total fisheries production (metric tons) ER.FSH.PROD.MT 2819044 2954551 3007924 2777749 2643835 2782558 2556493 2439025 2542058 2555898 2962979 3050820 2946225 2978682 3053006 3065741 3272174 3211927 3636483 3722375 3871666 3931248 4214408 4421466 5048228 5043441 5253141 6077501 6028323 5860605 5936132 5607652 5688778 6025071 6043960 5712653 5454047 5493228 5180987 5310497 5216830 5462163 5483648 5534652 5602988 5475187 5378772 5296214 4861785 4715028 4893331 5520449 5521244 5582390 5405670 5471445 5375386
United States USA Fish species, threatened EN.FSH.THRD.NO 251
United States USA PFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.PFCG.KT.CE 20841.3 14739 9008.7 8264 6362
United States USA Other greenhouse gas emissions (% change from 1990) EN.ATM.GHGO.ZG -9.73515208841539 -24.4127251003589 -20.8271292604443 -17.7148155523473 -16.0373964164973 -2.36126259860515 9.33484795684227 -1.17681268301073 17.2960689183868 23.9804577361206 11.0386296881294 62.9181809130283 40.1911344741285 150.179333535484 119.559122363175 71.0292047774001 103.348954774006 90.2905316419032 156.393212253968 120.230689681703 120.230689681703 120.230689681703
United States USA Combustible renewables and waste (% of total energy) EG.USE.CRNW.ZS 3.17480629117575 3.07963937158922 2.9601446789873 2.86455000154557 2.78350691952641 2.66861353208044 2.58877484680964 2.42601364591108 2.44873290498404 2.37451104145269 2.25968441539584 2.21215609811353 2.2111064813095 2.16748469951968 2.23278649279688 2.22335001518137 2.37964829703304 2.47111669576855 2.66110949149617 2.81669954835829 3.01930990762065 3.12938570434495 3.31258843671341 3.51664449007886 3.77523018022807 3.6695985428088 3.7551092660848 3.96169557517263 3.77261691117472 3.54154728662944 1.43282836203181 1.52469877628826 1.78549998236661 1.41068271308562 1.37609365054138 1.58272923985208 1.51582257827148 1.4334425849122 1.56247883688606 2.18931052940633 2.17934451973153 1.91978657231308 1.71855643791155 2.00831136290739 2.11722114077011 2.3044470362687 2.54138731845837 2.5751109807492 2.83169183473353 2.93097855547605 3.2046166589823 3.29844513959161 3.56064664566155 3.67200753568728 3.69006656016616 3.62103474590516
United States USA Electricity production from oil, gas and coal sources (% of total) EG.ELC.FOSL.ZS 81.4755670712874 81.492047396659 80.8276440318748 82.361416866587 82.4658707166814 82.0950438908341 83.2319638832145 81.9202480149158 83.0737425404945 82.4412043332323 83.0887048453375 82.1008817762331 82.1383289692827 81.8215536026546 78.1239287091888 75.625261043378 76.9307801793956 77.9229045704861 74.974206131645 76.366413339532 77.3094194420184 77.0726098717124 74.0319401170142 73.3293453761474 73.4711579995575 73.2237600636783 71.7836031342671 73.0438501288281 72.7182805571087 71.5952243783821 69.0632266073605 68.8630644968033 69.5494736893601 70.1448023305185 70.2637151887549 68.8114852457892 68.4839468411314 70.5287537239054 71.2801984174547 70.6433590335493 71.5934508809864 72.1988282370336 70.9873760648162 71.2893520499555 71.385701336522 72.104860119277 71.3259217344704 71.9668864905994 71.3921777212881 69.4503642511695 70.2777650829754 68.4178582200717 68.8628396369464 67.8246484698098 67.4619532149337 67.0787014713357
United States USA Debt service on external debt, total (TDS, current US$) DT.TDS.DECT.CD
United States USA Net official flows from UN agencies, UNRWA (current US$) DT.NFL.UNRW.CD
United States USA PPG, commercial banks (NFL, current US$) DT.NFL.PCBK.CD
United States USA Net financial flows, bilateral (NFL, current US$) DT.NFL.BLAT.CD
United States USA External debt stocks, total (DOD, current US$) DT.DOD.DECT.CD
United States USA Net bilateral aid flows from DAC donors, Luxembourg (current US$) DC.DAC.LUXL.CD
United States USA Net bilateral aid flows from DAC donors, European Union institutions (current US$) DC.DAC.CECL.CD
United States USA Portfolio equity, net inflows (BoP, current US$) BX.PEF.TOTL.CD.WD 700000000 840000000 2430000000 2760000000 250000000 3050000000 860000000 1320000000 1310000000 1050000000 4240000000 4820000000 3310000000 5985000000 -1280000000 4330000000 17898000000 15025000000 -2877000000 8990000000 -15960000000 10420000000 -5610000000 20940000000 890000000 16523000000 11057000000 67033000000 41958000000 112289000000 193600000000 121464000000 54067000000 33982000000 61787000000 89258000000 145481000000 275617000000 126805000000 219303000000 178953000000 123357000000 239066000000 -62642000000 154312000000 -187306000000 -139701000000 149634000000 156916000000 -244072000000
United States USA Grants, excluding technical cooperation (BoP, current US$) BX.GRT.EXTA.CD.WD
United States USA Foreign direct investment, net outflows (BoP, current US$) BM.KLT.DINV.CD.WD 6490000000 5620000000 7330000000 9340000000 5160000000 13730000000 11320000000 11280000000 14370000000 24720000000 19040000000 10110000000 7774000000 8770000000 12820000000 3680000000 19524000000 39797000000 21701000000 50980000000 59940000000 49270000000 58770000000 82800000000 89990000000 110060000000 103020000000 121380000000 174760000000 247485000000 186370000000 146041000000 178985000000 195218000000 374004000000 52591000000 283801000000 523890000000 343583000000 312597000000 349828000000 436616000000 377240000000 392796000000 387529000000 302071000000 299815000000 405376000000 -151298000000 188470000000
United States USA Crop production index (2004-2006 = 100) AG.PRD.CROP.XD 43.54 43.93 45.81 44.06 48.1 47 49.54 51.56 52.17 49.53 56.71 56.47 60.43 55.1 62.52 62.37 67.92 68.65 76.26 68.56 79.03 79.71 58.05 75.48 80.69 73.64 73.97 62.73 74.1 79.41 77.28 87.07 74.25 93.38 79.65 88.34 92.46 91.53 92.18 94.63 92.22 88.45 92.33 103.82 100 96.18 102.83 101.34 105.96 105.92 101.81 100.78 108.95 114.95 114.12 122.19
United States USA Land under cereal production (hectares) AG.LND.CREL.HA 64869558 60548008 62420208 60977008 60379266 61141626 65847777 63042026 59258754 59229150 63782293 58369291 64531443 68262068 72020441 73082438 72223053 67303432 68371362 71550444 77733138 76214787 58729146 71957016 72873500 67107716 59233504 55714416 63533008 65700000 62131075 65890404 60273827 64017419 59766550 64881026 63803406 61556513 58461970 58526104 55166824 53570702 57813092 56782664 56805877 52861862 61919594 60985598 57937341 57483702 56668632 60253274 59486800 57979030 58121068 58438795 53149164
United States USA Households and NPISHs Final consumption expenditure, PPP (current international $) NE.CON.PRVT.PP.CD 3808994000000 3943449000000 4197559000000 4451984000000 4720965000000 4962590000000 5244596000000 5536790000000 5877248000000 6279078000000 6762144000000 7065634000000 7342686000000 7723109000000 8212662000000 8747118000000 9260345000000 9706431000000 9976330000000 9842209000000 10185836000000 10641109000000 11006814000000 11317210000000 11822753000000 12297480000000 12769962000000 13340354000000.1 13993281000000.1 14544601000000
United States USA Military expenditure (% of general government expenditure) MS.MIL.XPND.ZS 9.55975757498972 10.2750015340386 11.2968759189728 11.9684764051846 12.0539449432606 11.9964565079974 11.7870923875287 11.9719995399003 11.7777933127971 12.3344553489056 12.4442085949283 12.0220533200581 11.2508126758382 10.4206152160296 9.89398939372724 9.6422370940216 9.40024631658811 9.4371971848728 9.43063070726051
United States USA Individuals using the Internet (% of population) IT.NET.USER.ZS 0.784729 1.16319 1.7242 2.27167 4.86278 9.23709 16.4194 21.6164 30.0932 35.8487 43.0792 49.0808 58.7854 61.6971 64.7583 67.9681 68.9312 75 74 71 71.69 69.7295 74.7 71.4 73 74.5542 85.5444 87.2661 87.2661 87.2661
United States USA Air transport, registered carrier departures worldwide IS.AIR.DPRT 5099200 4999200 4985200 5058200 4650400 4576100 4690500 4795900 4857000 5041800 4962700 4628300 4572100 4810900 5206200 5553900 6106000 6398000 6628500 6522100 6848600 6623900 6578100 6427800 7250000 7682200 8031800 7942900 7824400 8511400 8820878 8535240 8038761 7789108 9566226 9969599 9738983 9815504 9054478 9182363 10095197 10057768 9864360 9745498 9556324 9498668 9640591 9639096 9880509 10099031
United States USA IDA resource allocation index (1=low to 6=high) IQ.CPA.IRAI.XQ
United States USA Patent applications, nonresidents IP.PAT.NRES 42231 44009 46309 44312 49443 51562 55721 63522 68644 76337 80520 84160 90922 84241 95522 104180 105054 101282 102246 116512 131100 148958 150200 153500 167407 182866 204182 214807 224733 231194 248249 255832 274033 283781 293706 301075 310244 313052 312046 336340
United States USA Tax payments (number) IC.TAX.PAYM 10.6 10.6 10.6 10.6 10.6 10.6 10.6
United States USA Time required to register property (days) IC.PRP.DURS 15.2 15.2 15.2 15.2 15.2 15.2 15.2
United States USA Firms with female participation in ownership (% of firms) IC.FRM.FEMO.ZS
United States USA Time to obtain an electrical connection (days) IC.ELC.DURS
United States USA Human capital index (HCI), lower bound (scale 0-1) HD.HCI.OVRL.LB 0.682328701019287 0.751 0.705101609230042 0.692523181438446
United States USA Compensation of employees (current LCU) GC.XPN.COMP.CN 42260000000 44680000000 46140000000 48910000000 51560000000 55250000000 59710000000 63020000000 67740000000 75910000000 83930000000 89110000000 94320000000 100740000000 105580000000 111090000000 117510000000 122690000000 129340000000 138480000000 138220000000 138750000000 138420000000 139020000000 140480000000 142100000000 144010000000 150620000000 159180000000 201423300000 225779400000 256609400000 273296100000 292126500000 304182200000 319403600000 340254900000 366471900000 392662800000 400809700000 397970100000 388341100000 392543200000 397773900000 407496200000 417903200000 435762200000 450687700000
United States USA Taxes on exports (current LCU) GC.TAX.EXPT.CN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Net acquisition of financial assets (current LCU) GC.AST.TOTL.CN -8400000000 1060000000 7280000000 21270000000 -5600000000 -17080000000 21170000000 16930000000 17580000000 20000000000 34800000000 4550000000 52195000000 7306200000 34101200000 4230000000 29437300000 -15466600000 -433299999.999996 511179800000 124493300000 275370400000 -164719900000 70660400000 364615100000 32020000000 236938000000 206339600000 155527200000 322991000000 84187000000
United States USA Real interest rate (%) FR.INR.RINR 3.10788487484433 3.21534597587191 3.37488224240515 2.95166899970868 2.56591312626037 2.64942062883462 2.40622703183633 1.86391124668396 2.85177336421873 2.20989486384886 0.622615413471549 0.887217679249706 2.40973233850576 1.65106970430914 -1.28142702614827 1.26689158687459 0.575074762451797 1.88990110628173 4.03451309454042 5.71642832177206 8.59458529404719 8.17739544052398 6.6181744434628 8.14107485440222 6.56332628419126 6.19386616720654 5.59256507933414 5.59036709042929 6.69069534172506 6.03974437797091 4.91535245030119 3.88424000903506 3.54668872880569 4.89835614195758 6.59406890184224 6.324007949412 6.60340711013377 7.14819190416813 6.45713480956714 6.84484418191907 4.6267568727794 3.04507117620444 2.22410112675896 1.60458893374111 2.98135677066466 4.78644766222703 5.22340584262534 3.08241133549009 2.46882889216835 2.06073671364515 1.13733831875331 1.30708311140329 1.46929924999191 1.37474217484474 2.19567105189723 2.4510231084487 2.17206317038602 2.40947003499562 3.27691879528578
United States USA Claims on central government (annual growth as % of broad money) FM.AST.CGOV.ZG.M3 2.43655724790721 0.165168440645602 0.243168524890314 0.78556950220302 0.425926532037225 0.0783436150958102 2.31400931895654 1.17433203451155 -1.26201529066169 1.09686984233585 1.06829753347066 0.275778267272395 -0.149015550884298 0.109780120108841 3.66004899577191 2.22254913498882 0.46635586445932 -0.320330611147233 0.355739278719339 1.45899732665769 1.44596379375542 2.07080119984975 2.61514400401815 0.611440407566594 0.28738925878037 1.14251529770327 0.712987359881205 -0.467944064234228 -0.7186926805223 0.792381762841512 2.72151208772166 2.81944099710269 1.00606674229669 0.284898771558807 -0.0175043893233806 0.0590815689395816 0.850613551591431 -0.106712800492327 -0.432727050219499 0.472965349277199 0.164115267312089 1.55019950906322 -0.279601448037562 0.158731348859559 0.0988512319211917 0.332973950709499 0.747893944095334 -3.70211962496803 4.22460883170513 0.368913944910114 8.04631902852175 0.793004042328298 3.33922974200505 1.63304037781455 -0.791807260216151 2.1287710636591 0.755425261525913 -1.20185379368162 2.0751315127127
United States USA Renewable internal freshwater resources per capita (cubic meters) ER.H2O.INTR.PC 15106.8415014635 14181.3277507146 13425.6965354271 12795.1906792167 12164.1687961876 11630.7384982397 10985.7551634609 10335.3297366288 9797.47278257368 9354.94043948773 8979.35541674836 8671.15505714856
United States USA Population in the largest city (% of urban population) EN.URB.LCTY.UR.ZS 11.1997817724156 11.1082986147142 11.0314517623112 10.9667471636456 10.9088601382058 10.866695002006 10.8359570046915 10.8131675151932 10.8011100618069 10.7916521125429 10.7281509547958 10.5507886632779 10.3965747306838 10.2566198084052 10.1226260322333 9.98315942668825 9.84908442392925 9.71151769790332 9.57080048983848 9.42784550708807 9.31142462740532 9.22792452861792 9.14781826633414 9.0719779903147 9.00145137735288 8.92962532168056 8.85507427919404 8.78396235300599 8.71225636294394 8.63818673148545 8.55771193530894 8.48705780095193 8.4136360234482 8.34707326098354 8.28945739670807 8.23590427212843 8.18557111910038 8.1329387745198 8.08434443266607 8.03802303038129 7.98558296300756 7.91335127093925 7.84690159544018 7.78646311989111 7.72146140616646 7.65755087900806 7.59100592610039 7.52616020896818 7.46241368361893 7.40439218631175 7.35065350199749 7.3046669776216 7.25823655069329 7.21455137379864 7.16792152535069 7.12105809375502 7.07529739730435 7.03546490691044 7.00333284743736 6.94765078886208
United States USA GHG net emissions/removals by LUCF (Mt of CO2 equivalent) EN.CLC.GHGR.MT.CE -846.554877930866 -818.679731084061 -804.464712483509 -758.57258361899 -850.050344349692 -795.375723499317 -679.822703099097 -727.705738044116 -601.993296371281 -503.702131638787 -540.259926455194 -635.810487579618 -830.615927422664 -980.170627395198 -1033.64040214764 -1027.88174906094 -1014.52889851076 -1013.38397691643 -1007.2515088757 -990.061776171927
United States USA Methane emissions (% change from 1990) EN.ATM.METH.ZG -1.61738044903362 -2.26492857994216 -3.22378284789441 -3.5099962988288 -5.19591114679848 -6.10755979900759 -7.5221599784203 -9.38748753207159 -10.8800318677114 -12.7074067336223 -13.5226053735987 -13.5906692846703 -13.5475412304199 -14.6671455187599 -15.5637385593034 -15.1915826584446 -14.8423238336606 -14.0892295918047 -17.0851394839689 -17.7102610266673 -19.2409427165342 -21.6152561963252
United States USA CO2 emissions from liquid fuel consumption (% of total) EN.ATM.CO2E.LF.ZS 44.372700748446 45.0746701870478 44.718696715888 43.6123213366219 42.8458483778907 43.2298453682386 42.9805226425953 43.0362690496106 44.1307593652495 44.3030397454715 47.1193211707213 48.178439224915 49.749291896208 50.3427774583271 50.0553819359994 50.7580202344008 49.8864868474186 51.551419502256 51.0053608247423 49.4166369923066 46.9706862645387 44.9138346414169 44.8296708021808 44.4091040766325 43.7845584547966 43.6963883862215 45.5313706233013 44.7465098617085 44.5921313382361 43.884721183071 41.3376170977547 40.6836155742524 40.8642692715048 40.7102729317189 40.7565847011646 40.4478624907127 40.6399239246396 40.7668527698964 41.403817990602 41.1911104715959 40.7120711130805 41.5993714232166 40.8483754864635 41.8707980084999 42.1844739363546 42.2543801813065 42.0361802809359 41.064482229808 39.9380920219833 40.8901949391481 40.1495879704358 39.6893863222826 40.1804204422624 40.0941864011291 39.755632172454 41.5951540709609 42.4875350764816
United States USA Renewable energy consumption (% of total final energy consumption) EG.FEC.RNEW.ZS 4.17546218583434 4.50791959377071 4.76308310810846 4.28152840674077 4.08864139839829 4.72655433519206 4.76393045060593 4.51426029882715 4.5342968895809 5.70972659311957 5.42962368850183 4.67857120998539 4.84077918448262 5.32628227356981 5.47765651831783 5.84109087259038 6.39651397057971 6.30412819821935 6.84554083511255 7.35440475450257 7.5051720554451 8.16445164623265 8.48145040759456 8.71326157278159 8.75430895443964 8.71693586705814
United States USA Multilateral debt service (% of public and publicly guaranteed debt service) DT.TDS.MLAT.PG.ZS
United States USA Net official development assistance received (current US$) DT.ODA.ODAT.CD
United States USA Net official flows from UN agencies, UNICEF (current US$) DT.NFL.UNCF.CD
United States USA Net financial flows, IBRD (NFL, current US$) DT.NFL.MIBR.CD
United States USA Short-term debt (% of total external debt) DT.DOD.DSTC.ZS
United States USA Net bilateral aid flows from DAC donors, Total (current US$) DC.DAC.TOTL.CD
United States USA Net bilateral aid flows from DAC donors, Greece (current US$) DC.DAC.GRCL.CD
United States USA Stocks traded, total value (current US$) CM.MKT.TRAD.CD 1108420900000 1468783000000 2181719500000 2876964300000 1965101500000 2341571000000 2032096400000 2139842200000 2530449200000 3434412300000 3648744090000 5178630800000 6965496000000 9265546100000 12305236800000 18815724700000 29782045700000 20883579600000 17052861300000 16045083400000 19103123800000 25792191700000 30581777000000 42852575300000 47245495800000 34306380734455 36025378147933.8 41045547210000 32349465130000 33247253460000 38976646580000 41398501970000 42071330000000 39785881380000 33027245670000 23192148690000
United States USA Service exports (BoP, current US$) BX.GSR.NFSV.CD 11450000000 12800000000 13350000000 17040000000 20770000000 23330000000 27580000000 31090000000 35450000000 38831300000 47550000000 57250000000 63990000000 64220000000 71114000000 73093000000 86699000000 98662000000 110915000000 127140000000 147860000000 164260000000 177241900000 185911000000 200395000000 219193000000 239515000000 256093000000 262767000000 277997000000 298023000000 284033000000 288059000000 297735000000 344537000000 378490000000 423086000000 495658000000 540790000000 522458000000 582045000000 644669000000 684822000000 719531000000 756702000000 768365000000 780528000000 830388000000 862432000000 875830000000
United States USA Net trade in goods (BoP, current US$) BN.GSR.MRCH.CD 2590000000 -2270000000 -6420000000 910000000 -5510000000 8910000000 -9490000000 -31100000000 -33927000000 -27568000000 -25533000000 -28050000000 -36487000000 -67095000000 -112481000000 -122165000000 -145068000000 -159551000000 -126960000000 -117756000000 -111042000000 -76940000000 -96897000000 -132451000000 -165831000000 -174170000000 -191000000000 -198428000000 -248221000000 -337067000000 -446783000000 -422368000000 -475246000000 -541644000000 -664765000000 -782805000000 -837288000000 -821193000000 -832492000000 -509696000000 -648673000000 -740997000000 -741118000000 -700538000000 -749917000000 -761866000000 -749801000000 -799340000000 -880302000000 -864332000000
United States USA Insurance and financial services (% of service imports, BoP) BM.GSR.INSF.ZS 1.36518771331058 1.60565189466924 1.52492668621701 1.25720272393924 1.01569713758079 1.52671755725191 2.12765957446809 2.28013029315961 2.5244556642474 2.42892630416782 2.09909690017086 2.25044563279857 2.35109717868339 2.52488020641356 2.4809445523838 3.40136054421769 4.95396591731331 5.85773136827264 4.34416670891852 2.7997268559165 3.72227415653947 4.33755274261603 4.35542692719486 4.66425899443327 5.02273154236333 5.37373594512411 5.44215011471649 5.56663633679415 6.39099825101286 11.1195823993738 12.5519963427164 14.7227051225466 15.9072122118049 16.2481869843308 16.561999965589 16.2323603077298 19.0046116720245 20.9964588224612 20.9109711161298 21.8054134430646 20.7735135754382 19.3350342325983 18.6288225786875 17.6627302137964 17.4220357281079 16.5613617780421 16.5546328474953 16.0669416133017 14.764023634109 15.6190990935868
United States USA Agricultural irrigated land (% of total agricultural land) AG.LND.IRIG.AG.ZS 5.41901497104565 5.54816003066433 5.37825373243904 5.52719371969861
United States USA Fertilizer consumption (% of fertilizer production) AG.CON.FERT.PT.ZS 94.4745937129876 103.935532588882 99.951143537283 93.4434101342863 101.384760498971 96.9803689451118 78.6929478888653 81.2377560431883 82.4384146017225 87.8588182023086 89.8631604949082 121.615770825835 128.310031402829 124.182163459816 123.560362424754
United States USA High-technology exports (% of manufactured exports) TX.VAL.TECH.MF.ZS 30.3732292339219 28.8578498098283 24.8677741839767 23.0014609957313 20.9845794757797 20.5594043226112 20.526846085317 20.8607973528068 21.7598671248231 22.7237471373984 19.5199016960383 18.7417405398469 18.9335479863635
United States USA Merchandise exports (current US$) TX.VAL.MRCH.CD.WT 19626 20190 20973 22427 25690 26699 29379 30934 34063 37332 43225 43549 49199 70823 99437 108856 116794 123182 145847 186363 225566 238715 216442 205639 223976 218815 227158 254122 322427 363812 393592 421730 448163 464773 512627 584743 625073 689182 682138 695797 781918 729100 693103 724771 814875 901082 1025967 1148199 1287442 1056043 1278495 1482508 1545703 1579593 1620532 1502572 1451011 1546273 1663982 1643161
United States USA Computer, communications and other services (% of commercial service imports) TM.VAL.OTHR.ZS.WT 9.38189845474614 9.5 9.40766550522648 9.84570168993388 8.94568690095846 10.2923264311815 10.4898828541001 8.01955990220048 8.47311827956989 8.69565217391305 7.75354794046383 7.0580886945659 18.0447077834635 16.3172518312705 13.9209381501797 13.5536901014341 15.52883949325 16.8483313347975 19.0013631172404 20.9438149748861 20.523485847621 23.5903566447499 23.3616763122671 23.5452756981256 24.3767388712242 25.5797163131544 27.0046443517648 27.1885034479128 27.2693351628842 28.4313349513233 27.1213537907012 27.5402000812709 29.2211128027423 28.5909156490602 27.9570502707059 28.5074165636588 29.4639058069365 30.1138845029731 32.3284069734793 34.2795833876213 34.6770006675072 36.6962913683895 37.2617996604414 39.1956901268398 39.6638061260566 40.226151229448 41.6206494343347 42.2285600609045 41.5137248791491 40.8180336003403
United States USA Manufactures imports (% of merchandise imports) TM.VAL.MANF.ZS.UN 39.6697585070122 40.747107170946 43.3531983050213 46.7266496730773 50.3719511550883 52.7901085909127 56.2247081605324 59.5923195052237 60.7032132381265 63.3497026242061 64.4594549746471 61.2254828948857 51.7589129057084 51.0981343409769 51.4490892938968 50.5040074388115 56.0919534274793 52.0175487764362 49.989065667322 52.7285105421694 57.7314915871213 61.2216912206292 66.3940720932624 70.1495892379418 75.1159169697297 75.1588321264299 74.4534359116527 72.6943838648691 74.7895946150371 75.9185265837938 77.2628122041512 78.4417200604253 78.9392418455257 77.64620360154 77.9088870348426 80.2956251356731 79.6461579565402 77.1298122112425 77.1671497608443 77.871175850102 76.1073420010494 74.4296541957502 71.4898012022893 70.47993288939 70.0266662639946 65.5979349953983 70.2702686871461 69.7619269911593 67.4997682364201 69.4731372532113 71.1318901118071 72.8256553296292 78.4228513917264 79.1625195006632 77.9613266933977 77.3349976194707 77.7966876495582
United States USA Tariff rate, applied, weighted mean, all products (%) TM.TAX.MRCH.WM.AR.ZS 3.91 3.92 3.95 3.95 3.75 2.94 2.86 2.6 3.09 2.31 2.1 2.11 2.16 1.96 1.79 1.75 1.7 1.55 1.58 1.71 1.66 1.67 1.67 1.67 1.69 1.69 1.65 1.66 1.59 13.78
United States USA Merchandise trade (% of GDP) TG.VAL.TOTL.GD.ZS 6.62562120375483E-06 6.41363394283685E-06 6.40456122954884E-06 6.4278108362042E-06 6.70691163604549E-06 6.70794675272287E-06 7.00907975460123E-06 6.92665660902866E-06 7.36477453580902E-06 7.41680556917345E-06 7.98031869844769E-06 7.88865519165558E-06 8.44813972215056E-06 1.01303094762364E-05 1.35845947854156E-05 1.27447617193621E-05 1.33067899639802E-05 1.36223200209816E-05 1.411350319506E-05 1.55514297002208E-05 1.68883147663167E-05 1.59669564664261E-05 1.40955664367578E-05 1.3085086066794E-05 1.41256480004399E-05 1.3166184948118E-05 1.33078844125214E-05 1.39760031224158E-05 1.49332427883229E-05 1.51860648967133E-05 1.52701158985931E-05 1.5103499780534E-05 1.53686463884403E-05 1.55748605501535E-05 1.64924259348812E-05 1.77439730022544E-05 1.79248870511309E-05 1.85157903451595E-05 1.79468567475078E-05 1.82255030721089E-05 1.99097660839416E-05 1.803356840043E-05 1.73121840947336E-05 1.76974850735499E-05 1.91633118094395E-05 2.02029660520899E-05 2.13110880340539E-05 2.19252213533412E-05 2.34959942500808E-05 1.84189309715483E-05 2.16626706104834E-05 2.41178217113198E-05 2.3968791989464E-05 2.32867924778941E-05 2.30104486395053E-05 2.09488884309171E-05 1.97765044306929E-05 2.02606554622803E-05 2.07879970154028E-05 1.96452274613257E-05
United States USA Rural population growth (annual %) SP.RUR.TOTL.ZG 0.379767922918795 0.246910823324667 0.141586212319302 0.0849371791731306 -0.0604996895264814 -0.162375692830794 -0.235016470709165 -0.332098518017465 -0.360009209533016 0.151142360094357 1.22265498245156 1.03261839221807 0.916557524902912 0.875727250645759 0.9480373479402 0.912258490743726 0.967796112834577 1.02538047607355 1.065572372745 0.784584960237542 0.400952470198684 0.369463154438247 0.327097084926625 0.282860476837012 0.299753937179451 0.334331075505947 0.304464142782628 0.315139141363312 0.356039611103647 0.279027731366681 -0.300544208104832 -0.256236999797331 -0.330624269008791 -0.433368846491766 -0.474899093415709 -0.517077662960284 -0.473417401349692 -0.526404231035566 -0.554086373778248 -0.380113564334052 0.140997827475435 0.0815023117954436 0.010863083289361 0.0695993923250513 0.0733898148736528 0.108670280303657 0.0931570901609545 0.0856572616332229 0.0141332145804876 -0.0317722780975255 -0.178536004113092 -0.195320249482805 -0.271138569366032 -0.2612592493152 -0.289831864637607 -0.330862519831332 -0.455478012727955 -0.587352502453019 -0.67668895922924
United States USA Age dependency ratio, young (% of working-age population) SP.POP.DPND.YG 50.9876245737444 51.3319068941813 51.2620297285346 50.883551729516 50.3462836984834 49.7223599264969 49.0297399695555 48.2623587102021 47.4126825125652 46.4665532304453 45.4271242515466 44.0815671370909 42.7867765263173 41.5073220234153 40.2124574960481 38.9097045333675 38.0200399675813 37.0576978711843 36.0911978608083 35.2141280637578 34.4732529738156 33.8848136599297 33.4164832104678 33.0635179071967 32.7963655970417 32.5959304741442 32.6266299639813 32.6910866977248 32.7813649868569 32.8861393304311 32.9912492401139 33.2684158534337 33.5043774787915 33.6699163822346 33.7372408578083 33.7025614601952 33.7413915126362 33.6235597682288 33.4040414811188 33.1543186137638 32.9014068131456 32.5412565678124 32.2659078371774 32.0042793367057 31.6732155371267 31.2558356607427 31.1632369957207 30.9552028061685 30.6890322052533 30.4423598529173 30.2406293319999 30.011617523725 29.7576392067373 29.5091250555873 29.27834208869 29.068110540961 28.8481699977911 28.694345367099 28.5707015502424 28.4319604217288
United States USA Population ages 65-69, male (% of male population) SP.POP.6569.MA.5Y 3.21368895642902 3.16843437846962 3.11706420905299 3.07689008578184 3.06270782881498 3.07557938178317 3.08742503589386 3.1256296291057 3.18506874965231 3.24981351458592 3.30440575125582 3.30710402806293 3.30480804704488 3.31218879246246 3.33649453943448 3.37311770663923 3.38538992427579 3.41659325243059 3.47903890100813 3.56112903747649 3.63856750864468 3.62804316311935 3.60730877648924 3.59438752239103 3.6035150875529 3.6336274712848 3.63610217169671 3.64812693384043 3.66594150907119 3.67984433577899 3.68228314396758 3.64384420905802 3.59958457191652 3.55331361457517 3.50565221434108 3.45554417917545 3.37178628079418 3.28850547050535 3.21703251084701 3.17067771623884 3.15545394306096 3.16058069323445 3.19242541473001 3.24434722839023 3.30523373899079 3.36828442493516 3.40581932790363 3.44719560047934 3.50672280875276 3.60393064418509 3.74679569108133 3.90176222114953 4.09491423066832 4.30530040549905 4.50363509795077 4.6731868702076 4.80220021960068 4.90372280396292 4.9887609103459 5.07423066835168
United States USA Population ages 25-29, male (% of male population) SP.POP.2529.MA.5Y 6.21478282024367 6.09009079132782 6.00483197642379 5.96640372405533 5.97710171091049 6.02969252377238 6.12411500829846 6.26824142495946 6.45813403583187 6.67202252104946 6.8745879209525 7.06811969771551 7.28319212993017 7.53432611991034 7.82029549740557 8.11543187235881 8.30827682265208 8.48406336245304 8.63189488576602 8.76085257712456 8.88543695477557 9.02833055740747 9.16876697601297 9.28991926789624 9.3743839412373 9.41145773896689 9.39149961951829 9.32673472186988 9.21159994605361 9.05147051006376 8.8602552212475 8.70262889077472 8.50445770926701 8.26442589759903 8.00158327563644 7.74124632607822 7.54102290497551 7.37765498859765 7.24386719037368 7.13126583972017 7.03505353369118 6.93855837600804 6.8507587660687 6.77325725271276 6.71728425099181 6.69523561281267 6.71804794142038 6.76328733885435 6.8115005908006 6.84699574371074 6.86802142782583 6.93456826161019 7.00765021308263 7.08384112488 7.16045992120882 7.23438759916768 7.30073476220147 7.3641224548155 7.41386953889707 7.43387344325747
United States USA Population ages 0-14 (% of total population) SP.POP.0014.TO.ZS 30.6910806308535 30.8025881521672 30.7525141754558 30.5803566172629 30.3429251946364 30.0679155376883 29.7485227030028 29.3959954308152 29.0059689001698 28.5725953867033 28.0974599130659 27.4745034237869 26.8691392136239 26.2626187095934 25.6398850066994 25.0051046129913 24.5468178419943 24.0502397861878 23.5451728545159 23.07752106479 22.6731609131283 22.351369837247 22.0915347840641 21.8895432372525 21.7290639508345 21.6005878590556 21.5867578879806 21.5916142868303 21.6112401348277 21.6409886034805 21.6744978683966 21.8002814260128 21.910086653632 21.9892262356465 22.0247443502355 22.0152634365607 22.0472291496015 22.0060093782191 21.9165411215449 21.8117417042619 21.702880167839 21.5285035933618 21.3962336126125 21.2681712378164 21.0999066756788 20.8811342294238 20.8175274142624 20.6899078668217 20.5248388845019 20.3592671936831 20.2048008087726 20.0251330582403 19.8231699369023 19.6170488180396 19.4162424175389 19.2237265896844 19.0233424818483 18.8585280818274 18.7090399824651 18.54931712456
United States USA Life expectancy at birth, male (years) SP.DYN.LE00.MA.IN 66.6 67.1 66.9 66.6 66.8 66.8 66.7 67 66 66.8 67.1 67.4 67.4 67.6 68.2 68.8 69.1 69.5 69.6 70 70 70.4 70.8 71 71.1 71.1 71.2 71.4 71.4 71.7 71.8 72 72.3 72.2 72.4 72.5 73.1 73.6 73.8 73.9 74.1 74.3 74.4 74.5 75 75 75.2 75.5 75.6 76 76.2 76.3 76.4 76.4 76.5 76.3 76.1 76.1 76.1
United States USA Prevalence of moderate or severe food insecurity in the population (%) SN.ITK.MSFI.ZS 10.5 9.8 8.9 8.5
United States USA Share of youth not in education, employment or training, total (% of youth population) SL.UEM.NEET.ZS 19.0100002288818 18.7600002288818 18.0900001525879 17.0599994659424 16.1800003051758 15.7799997329712 15.5 16.2099990844727 17.0599994659424 17.2299995422363 16.8299999237061 16.8099994659424 15.8400001525879 15.6300001144409 16.8999996185303 19.5799999237061 19.8799991607666 18.9099998474121 18.7600002288818 18.2199993133545 16.7900009155273 15.4899997711182 15 13.8400001525879 13.6499996185303 13.0900001525879 17.8799991607666
United States USA Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.FE.ZS 12.3199996948242 12.8999996185303 12.25 11.710000038147 11.6499996185303 11.2700004577637 10.7799997329712 9.63000011444092 9.35999965667725 8.80000019073486 9.5 11 11.3000001907349 10.8699998855591 10.0200004577637 9.5600004196167 9.3100004196167 11.039999961853 14.7299995422363 15.710000038147 15.6099996566772 14.7700004577637 13.8000001907349 12.0600004196167 10.289999961853 9.22999954223633 8 7.57999992370605 7.26000022888184
United States USA Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) SL.TLF.CACT.FE.ZS 56.2000007629395 56.0400009155273 56.4799995422363 56.5800018310547 57.6199989318848 57.8600006103516 58.1599998474121 58.7099990844727 58.75 58.9099998474121 59.0200004577637 58.7999992370605 58.5900001525879 58.4500007629395 58.1500015258789 58.2400016784668 58.3300018310547 58.2599983215332 58.4599990844727 58.1399993896484 57.5 56.9300003051758 56.7900009155273 56.2900009155273 56.1100006103516 55.8400001525879 56 56.3199996948242 56.3899993896484 56.7599983215332
United States USA Labor force participation rate for ages 15-24, female (%) (national estimate) SL.TLF.ACTI.1524.FE.NE.ZS 42.7999992370605 43.4000015258789 43.2999992370605 42.9000015258789 43.2999992370605 44 46.5 47.5999984741211 48.5 50.4000015258789 51.2999992370605 51.0999984741211 53 54.9000015258789 56.5999984741211 57.2000007629395 58 59.5999984741211 61.7000007629395 62.5 61.9000015258789 61.9000015258789 62 61.9000015258789 62.7999992370605 63.7000007629395 64.3000030517578 64.5999984741211 64.5 64.4000015258789 62.9000015258789 61.7000007629395 61.7999992370605 62 62.7400016784668 62.4900016784668 62.3899993896484 62.9300003051758 63.3400001525879 62.9099998474121 63 62 61.060001373291 59.2299995422363 58.6599998474121 58.5800018310547 57.8600006103516 57.2000007629395 56.5 55.2299995422363 53.5499992370605 53.2799987792969 53.939998626709 53.4799995422363 53.5800018310547 53.7900009155273 53.7900009155273 54.2700004577637 54.5200004577637 55.1500015258789 53.2099990844727
United States USA Employment in services (% of total employment) (modeled ILO estimate) SL.SRV.EMPL.ZS 72.1100006103516 72.2600021362305 72.4000015258789 72.5 72.6800003051758 72.8899993896484 73.1100006103516 73.3600006103516 73.629997253418 73.9400024414063 74.7399978637695 75.6999969482422 76.0500030517578 76.1500015258789 76.3300018310547 76.2600021362305 76.5699996948242 77.1999969482422 78.6500015258789 78.9400024414063 78.8399963378906 78.879997253418 78.7300033569336 78.6699981689453 78.6999969482422 78.7900009155273 78.8499984741211 78.7600021362305 78.7399978637695
United States USA Contributing family workers, total (% of total employment) (modeled ILO estimate) SL.FAM.WORK.ZS 0.28999999165535 0.28999999165535 0.270000010728836 0.150000005960464 0.119999997317791 0.150000005960464 0.129999995231628 0.109999999403954 0.100000001490116 0.100000001490116 0.100000001490116 0.0900000035762787 0.0900000035762787 0.0799999982118607 0.0900000035762787 0.0700000002980232 0.0900000035762787 0.0799999982118607 0.0700000002980232 0.0799999982118607 0.0799999982118607 0.0799999982118607 0.0700000002980232 0.0599999986588955 0.0700000002980232 0.0599999986588955 0.0500000007450581 0.0599999986588955 0.0500000007450581
United States USA Employment to population ratio, 15+, female (%) (modeled ILO estimate) SL.EMP.TOTL.SP.FE.ZS 52.4799995422363 52.5200004577637 52.8600006103516 54.1300010681152 54.5800018310547 54.9799995422363 55.7299995422363 56.0299987792969 56.3600006103516 56.5999984741211 56.0699996948242 55.2999992370605 55.1399993896484 55.0099983215332 55.2700004577637 55.6300010681152 55.6300010681152 55.2900009155273 53.4599990844727 52.5499992370605 52.1100006103516 52.310001373291 52.310001373291 52.7099990844727 52.9500007629395 53.3199996948242 53.9000015258789 54.2200012207031 54.7099990844727
United States USA Employment in agriculture, male (% of male employment) (modeled ILO estimate) SL.AGR.EMPL.MA.ZS 2.64000010490417 2.61999988555908 2.58999991416931 2.55999994277954 2.51999998092651 2.48000001907349 2.4300000667572 2.38000011444092 2.32999992370605 2.26999998092651 2.10999989509583 2.13000011444092 2.08999991416931 2.04999995231628 1.96000003814697 1.94000005722046 1.83000004291534 1.89999997615814 1.94000005722046 2.01999998092651 2.02999997138977 1.9099999666214 1.87000000476837 1.89999997615814 2.01999998092651 1.99000000953674 2.00999999046326 1.88999998569489 1.87000000476837
United States USA Multidimensional poverty intensity (average share of deprivations experienced by the poor) SI.POV.MDIM.IT
United States USA Income share held by fourth 20% SI.DST.04TH.20 23.2 23.4 23.6 23.3 22.6 22.4 22.3 22.5 22.4 22.9 22.6 22.5
United States USA External health expenditure (% of current health expenditure) SH.XPD.EHEX.CH.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure SH.UHC.NOP1.TO
United States USA Prevalence of stunting, height for age (% of children under 5) SH.STA.STNT.ZS 3.2 3.3 3.2 2.7 2.1 2.4 3.5
United States USA People practicing open defecation, rural (% of rural population) SH.STA.ODFC.RU.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
United States USA People using at least basic sanitation services, rural (% of rural population) SH.STA.BASS.RU.ZS 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242 99.8825077292242
United States USA Children with fever receiving antimalarial drugs (% of children under age 5 with fever) SH.MLR.TRET.ZS
United States USA Adults (ages 15+) and children (ages 0-14) newly infected with HIV SH.HIV.INCD.TL 41000 39000 37000 37000 37000 37000 37000 38000 38000 38000 39000 39000 40000 40000 41000 41000 42000 43000 45000 43000 41000 40000 40000 39000 39000 39000 39000 37000 37000
United States USA Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%) SH.DYN.NCOM.MA.ZS 21.6 19.2 17.4 17.2 17.5
United States USA Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) SH.DTH.COMM.ZS 6.28301902548286 5.69330817392815 5.65120332746147 5.3020598009239
United States USA Women who believe a husband is justified in beating his wife when she goes out without telling him (%) SG.VAW.GOES.ZS
United States USA Expenditure on primary education (% of government expenditure on education) SE.XPD.PRIM.ZS 31.10906 30.96455
United States USA Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.MS.FE.ZS 11.2082796096802 11.6170196533203 11.9889698028564 12.6474800109863 13.244930267334
United States USA Trained teachers in upper secondary education, female (% of female teachers) SE.SEC.TCAQ.UP.FE.ZS
United States USA Secondary education, vocational pupils (% female) SE.SEC.ENRL.VO.FE.ZS
United States USA Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.LO.ZS 92.7019882202148 89.6204528808594 93.714241027832 93.6958770751953 94.1891632080078 94.4855499267578 94.5352172851563 94.7695007324219 94.9027328491211 94.984489440918 95.2045288085938 95.2634735107422 95.3349685668945 95.5852432250977 96.0293731689453
United States USA Primary education, teachers (% female) SE.PRM.TCHR.FE.ZS 86.4923782348633 86.4791564941406 86.4824295043945 86.4823989868164 86.4726409912109 87.1596984863281 87.1478576660156 87.0723724365234
United States USA Over-age students, primary, male (% of male enrollment) SE.PRM.OENR.MA.ZS 5.96295 6.02897 6.5396 6.28186 6.66108 6.40715 6.28326 6.808 7.10182 6.49249 6.3192 6.15881 6.19525 6.05834 5.88137 5.48341 6.47329
United States USA Primary education, pupils SE.PRM.ENRL 24538372 24785698 25019052 25123678 24957956
United States USA Preprimary education, duration (years) SE.PRE.DURS
United States USA Coverage of social insurance programs in 3rd quintile (% of population) per_si_allsi.cov_q3_tot
United States USA Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) per_lm_alllm.cov_q3_tot
United States USA Net secondary income (Net current transfers from abroad) (current LCU) NY.TRF.NCTR.CN -6618000000 -7904000000 -9227000000 -7868000000 -8735000000 -9142000000 -8122000000 -8112000000 -8842000000 -10552000000 -12618000000 -17039000000 -19836000000 -20495000000 -23642000000 -25652000000 -27763000000 -26810000000 -28988000000 -30400000000 -31734000000 4910000000 -41912000000 -45355000000 -46078000000 -44050000000 -49513000000 -51424000000 -60033000000 -48082000000 -56417000000 -63786000000 -63045000000 -68447000000 -84320000000 -94084000000 -81375000000 -101349000000 -114699000000 -117609000000 -118539000000 -122488000000 -111842000000 -108499000000 -109025000000 -128891000000 -140720000000 -134549000000 -139164000000
United States USA GNI per capita (constant 2010 US$) NY.GNP.PCAP.KD 23258.1917063634 23735.532215211 24721.5272126266 25924.5895056532 25578.4649361717 25218.9437391338 26358.9466061033 27320.4161901599 28511.3739816241 29174.9631127918 28814.4177932359 29208.4250240747 28431.2148635219 29443.7704902899 31262.6690077297 32179.8890156461 32918.0789609545 33750.0264193164 34867.0447875329 35810.1277173585 36126.2175137308 35584.7104209051 36317.5275148552 36820.3600568712 37784.6936272505 38358.8247482903 39351.8597420358 40565.7219819081 41859.7132521162 43380.0397991706 44704.0765698842 44759.2335162273 45097.5582516329 46034.1891049053 47403.4744190277 48597.3485011729 49391.5204452744 50033.1973753678 49634.1499348903 47926.486896579 48902.9307116172 49406.3519254574 50110.4527584728 50656.8911032317 51561.7067243312 52605.8885918308 53052.4150764656 54011.4947146059 55333.8900122451
United States USA Total natural resources rents (% of GDP) NY.GDP.TOTL.RT.ZS 0.763413770868684 0.75379895658782 0.757706633455981 0.983692394060303 3.1742098277015 3.07719226834743 2.96381452262718 3.03125307625411 2.67650843629676 4.8149553540025 5.4923642530418 4.06054462728841 2.42845251892541 2.68049866394689 2.44112302332605 2.13318824024379 0.970104044473727 1.2876089469981 1.03119447084896 1.14399762686461 1.30567609266303 0.967745120798486 0.965173810670403 0.890586346814677 0.737533872018177 0.790509501229032 0.964147133713465 0.760138799290251 0.483580243855312 0.591250383641004 0.969664206498782 0.878167345829287 0.59965272834378 0.788646894716389 1.18144815978565 1.22479615749114 1.0941482779311 1.04040432622771 1.91237091162624 0.770862911946098 0.917193074822363 1.22641914726983 0.826186247041589 0.78527295858782 0.664931284350569 0.274171911816163 0.339452810203875 0.477291211023904 0.711242137136903
United States USA GDP (current LCU) NY.GDP.MKTP.CN 543300000000 563300000000 605100000000 638600000000 685800000000 743700000000 815000000000 861700000000 942500000000 1019900000000 1073303000000 1164850000000 1279110000000 1425376000000 1545243000000 1684904000000 1873412000000 2081826000000 2351599000000 2627334000000 2857307000000 3207042000000 3343789000000 3634038000000 4037613000000 4338979000000 4579631000000 4855215000000 5236438000000 5641580000000 5963144000000 6158129000000 6520327000000 6858559000000 7287236000000 7639749000000 8073122000000 8577554457000 9062818202000 9630664202000 10252345464000 10581821399000 10936419054000 11458243878000 12213729147000 13036640230000 13814611414000 14451858656000 14712844084000 14448933025000 14992052727000 15542581104000 16197007349000 16784849196000 17527163695000 18224704440000 18714960538000 19519353692000 20580159776000 21433226000000
United States USA Adjusted net savings, excluding particulate emission damage (% of GNI) NY.ADJ.SVNX.GN.ZS 15.1407039696672 14.6037484169002 15.2840266914069 16.7328044569184 12.8626380724187 11.1075698447873 11.9969706658032 12.3211548762165 13.626284397853 11.3778768381308 8.78982861664037 11.1655289294155 9.84521668490117 8.1086143977068 11.0054347851514 9.59653889749724 6.98266271040237 9.39755898000914 8.56038130862069 7.77737461225985 6.74069347446446 6.87168039492493 7.0467094769462 6.19015674437024 7.52532691735348 7.68284061209656 8.53273793255322 9.96318227792038 10.1395824664747 9.55352041738584 9.09867589340986 7.96195370921563 6.8258521781891 6.06343493214312 6.03987026849863 5.95868572650282 7.1369601501722 5.21856262972159 2.18723431677279 1.09995254345125 3.2111880438352 4.35944527075762 6.21392065427123 6.42359972609338 7.45931342360374 7.63669721773525 6.11312800558366 6.03557005590878 5.75250661518378
United States USA Adjusted savings: energy depletion (% of GNI) NY.ADJ.DNGY.GN.ZS 0.340987214996377 0.371339704487457 0.383528982360274 0.460713025201756 2.11836429575626 1.85141539595549 1.81363692936917 1.85715699920622 1.73440334325028 3.46372674429296 3.94112598229223 2.66028358784896 1.32060224988764 1.80493561418682 1.68877917857034 1.45031060900892 0.562652734802264 0.86821261556472 0.56878292516599 0.676347861105959 0.792081927891076 0.56712044825037 0.598760151902814 0.576506918861227 0.452220703854362 0.391259901965949 0.548341292290156 0.393813267615829 0.215990626222291 0.321782069180924 0.616154396998662 0.502428017965694 0.31977819253492 0.470510527732597 0.651516493817849 0.710524092982382 0.56071120431323 0.516867836846487 0.881772973405595 0.285173609382602 0.275903369078792 0.376282430130822 0.23951242174356 0.28472311052258 0.248755187668963 0.0215842503980313 0.0830631346300994 0.145834132732109 0.324811795128071
United States USA Services, value added (current LCU) NV.SRV.TOTL.CN 6159458536000 6563276616000 7001330451000 7465371914000 7831857732000 8189248752000 8549066210000 9057612992000 9649199955000 10181786413000 10680295924000 10964869014000 11045335837000 11424888461000 11791120447000 12333783358000 12718629157000 13287752778000 13995858190000 14506385696000 15068528346000 15824167830000
United States USA Manufacturing, value added (constant LCU) NV.IND.MANF.KN 1475301767000 1538158164000 1626197865000 1743365364000 1668777961000 1688119022000 1780666084000 1906138651000 1962129936000 2073754172000 2142546857000 2100420948000 1903884169000 2008676780000 2015123601000 2005231792000 2064037420000 2102745412000 2118871486000 2108501831000 2164295200000 2249117307000
United States USA External balance on goods and services (% of GDP) NE.RSB.GNFS.ZS 0.367929652670308 0.0533115851826415 -0.263698978195777 0.288415126955975 -0.0527425136370137 0.948184584997127 -0.0870604010223058 -1.10931461130757 -1.07871282476307 -0.858056113155008 -0.456933749156111 -0.390359714652942 -0.597346303848718 -1.42106384137975 -2.54422600680154 -2.62776104701129 -2.87946779991663 -2.98174231213242 -2.08905366586981 -1.53754799187462 -1.30558644902756 -0.464637879459816 -0.532764691096014 -0.950257918609434 -1.26916433061863 -1.17493388853482 -1.19380086167408 -1.18881203857334 -1.79536868525171 -2.65645229273876 -3.6581873027684 -3.47699121093435 -3.88977413812988 -4.39096082573361 -5.06868125655186 -5.53204650336508 -5.58050441591668 -4.97117372305416 -4.91467180561199 -2.74380813665651 -3.42783612996827 -3.72821602874487 -3.51034600249844 -2.92395835237506 -2.89640702188923 -2.88932532065798 -2.73851499157246 -2.84606247094997 -2.96139586200266 -2.84824132400787
United States USA Changes in inventories (constant LCU) NE.GDI.STKB.KN 7184036000 32094527000 32968422000 50103332000 37372695000 -16426051000 44004955000 55387466000 58526132000 35969890000 -12048621000 50047657000 -25358872000 -10050293000 100033675000 32199911000 10533471000 42348630000 27786690000 38805327000 20932726000 -2291614000 22700401000 28098867000 87980083000 40332407000 39485355000 94867850000 91315600000 86915303000 78189274000 -52903973000 24203620000 19791393000 82168033000 63363874000 86602132000 40343343000 -32480274000 -176292227000 56950337000 46435756000 70798446000 108024001000 85797831000 136785000000 24401464000 15695319000 53104800000 48263082000
United States USA Exports of goods and services (current US$) NE.EXP.GNFS.CD 59709000000 62963000000 70843000000 95270000000 126650000000 138706000000 149515000000 159349000000 186883000000 230130000000 280772000000 305239000000 283210000000 276996000000 302381000000 303211000000 320998000000 363943000000 444601000000 504289000000 551873000000 594931000000 633053000000 654799000000 720937000000 812810000000 867589000000 953803000000 952979000000 992778000000 1096255000000 1024636000000 998741000000 1036177000000 1177631000000 1305225000000 1472613000000 1660853000000 1837055000000 1581996000000 1846280000000 2102995000000 2191280000000 2273428000000 2371704000000 2265862000000 2227174000000 2374560000000 2528704000000 2514751000000
United States USA Households and NPISHs Final consumption expenditure per capita growth (annual %) NE.CON.PRVT.PC.KD.ZG 2.51455508289726 4.99476305824564 3.9518836514099 -1.73956590850135 1.2640496251571 4.57499660730669 3.18340066044908 3.27633091827697 1.25339085325314 -1.26420664961613 0.396424532503431 0.501137769070525 4.69934385255569 4.35332820338559 4.2496204197169 3.17024491198762 2.4756185069795 3.23523490514542 1.94824051720236 0.868151581285588 -1.1492519654248 2.25208431264601 2.12806331272606 2.60836801454667 1.73185238353031 2.27314541836421 2.52370954798771 4.09058939958587 4.06544129738184 3.91878557494105 1.50920539867884 1.62155805016495 2.29465997045799 2.79613009763055 2.61178224561608 2.07436708285016 1.25492020061037 -1.15143332857589 -2.11618192441061 0.910769389069529 1.15619790088284 0.767480013907033 0.759690749149584 2.21380767382023 3.0439890466685 2.03396211218083 1.98446105622151 2.17388686359124 1.92988224819688
United States USA Military expenditure (% of GDP) MS.MIL.XPND.GD.ZS 8.99312458715278 9.15603150017123 9.33167294545842 8.83189118618018 8.0512811057284 7.58724717722602 8.43530028594507 9.41779593255137 9.26845427468793 8.63326379509104 8.03274358404085 6.94306960936061 6.51975692434716 5.8938705911674 5.95411119676015 5.62267909613336 5.19107142902555 5.15561735127125 4.94308724791688 4.95199153527265 5.15353746651636 5.64654125624258 6.81405709441284 6.32114425976717 6.23641652963897 6.4532192046686 6.62652265789842 6.42027402288488 6.0712777020948 5.87120600804653 5.60517529438794 4.88342939776313 4.97046680768284 4.60435029507644 4.2152646751779 3.8602457917389 3.55498220635218 3.40556224418855 3.20155849896996 3.08567678324746 3.11224214697679 3.12380980266703 3.44761809928778 3.82716104473623 4.01631273640692 4.09003487632585 4.04162723678969 4.0796550810522 4.46382735629989 4.88559968011478 4.92264167706996 4.84017399490275 4.47740121867267 4.04667887867098 3.69589111827138 3.47784616819686 3.41894060128079 3.31338528335912 3.3162444576718 3.41310666834644
United States USA Secure Internet servers (per 1 million people) IT.NET.SECR.P6 2481.75955446975 2986.52052851191 3842.2687319694 4304.02864183549 5130.9199749691 6360.93365717346 11439.7163638194 30350.7843159754 65864.1788686002 124014.176074707 141389.263310303
United States USA Source data assessment of statistical capacity (scale 0 - 100) IQ.SCI.SRCE
United States USA CPIA building human resources rating (1=low to 6=high) IQ.CPA.HRES.XQ
United States USA Liner shipping connectivity index (maximum value in 2004 = 100) IS.SHP.GCNW.XQ 83.3 87.62 82.8009358876 81.6451326826 76.4927321308 78.2194979005 76.0309727482 83.3235875476 84.1567888888 85.3906452758 88.2414692026 89.3608801103 88.7631404167 90.0225390712 90.687136518 90.0017915095
United States USA CPIA public sector management and institutions cluster average (1=low to 6=high) IQ.CPA.PUBS.XQ
United States USA Trademark applications, total IP.TMK.TOTL 46837 52509 63745 55545 62600 65100 69253 71292 78345 94401 127346 123319 127837 150419 161055 188850 212510 234610 246611 260761 292464 216309 212637 221739 250366 263677 276110 303501 292726 265943 281461 305209 313325 323340 342578 374976 393242 448214 464833 492729
United States USA Investment in ICT with private participation (current US$) IE.PPI.ICTI.CD
United States USA Time required to start a business, female (days) IC.REG.DURS.FE 6.2 5.6 5.6 5.6 5.6 5.6 4.2
United States USA Firms experiencing losses due to theft and vandalism (% of firms) IC.FRM.THEV.ZS
United States USA Time to export, border compliance (hours) IC.EXP.TMBC 1.5 1.5 1.5 1.5 1.5 1.5
United States USA Human capital index (HCI), male, upper bound (scale 0-1) HD.HCI.OVRL.UB.MA 0.688444256782532 0.736 0.707485318183899 0.695437014102936
United States USA Interest payments (% of expense) GC.XPN.INTP.ZS 6.50970745849073 6.1468501313262 8.32338146419137 7.48338718527099 7.76368112099981 8.19407008086253 7.62269017811479 9.46853878339234 10.4461593499259 11.6488279916275 12.8954095217808 12.9099992759395 14.2555572217928 15.8175355450237 15.1952695269527 15.0553590872737 15.2764156768733 15.3609570012149 15.2723652175266 15.5366329607947 15.2225104208403 14.363516300981 14.1863312924044 14.9279325798288 15.6229489926071 15.2985882296352 14.92326189971 13.8248636496585 12.8621492784223 16.0388812794962 13.7180074856549 12.3200478746138 12.2475055722108 12.7290937211609 13.0796302848008 13.5071416572316 11.5370353939545 9.57203800101203 9.72726177461458 10.7582888257397 10.8720701203904 10.7734774676114 11.0214096707977 10.4727715989105 10.743361988895 10.933895513731 11.758435496794 11.9761821175907
United States USA Customs and other import duties (% of tax revenue) GC.TAX.IMPT.ZS 2.22898339837291 1.99572779981691 1.88607041329543 2.27622433278506 3.0640115210806 2.22424342649248 2.51261835464024 2.43832836578096 2.1422598967794 2.02732919254658 2.22449692914565 2.31877891825772 2.79369103629848 2.70324255942473 2.88335517693316 2.8480595948005 2.94133549608002 2.70425776754891 2.69365125148223 2.52226453095006 2.68509984639017 2.67838193471709 2.61703007130309 2.31726505507081 2.04523921021966 1.77710754309708 1.64753049408017 1.56167956774336 1.50417785398946 1.6445990787663 1.84870237560759 1.99454379833432 1.99816943104321 1.81897458968266 1.70784929764242 1.76197980121137 1.92670368040455 2.01708240971479 2.21956350886429 2.14314424010581 2.11105791581502 2.0086563415418 1.94716349542298 1.86479299393902 1.839579042522 1.68278892800904 2.61228258167293 3.61998334238814
United States USA Net investment in nonfinancial assets (current LCU) GC.NFN.TOTL.CN 3520000000 3250000000 2850000000 3990000000 5170000000 5970000000 7860000000 9000000000 9430000000 13910000000 13460000000 13820000000 14820000000 14900000000 14320000000 16190000000 17450000000 17440000000 18690000000 19580000000 21440000000 22310000000 23090000000 17280000000 26450000000 22070000000 27800000000 37650000000 42650000000 157022000000 174940000000 189971000000 203889000000 213592000000 216471000000 240953000000 247737000000 268288000000 290479000000 284627000000 273585000000 256856000000 251056000000 223701000000 248569000000
United States USA Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) FX.OWN.TOTL.40.ZS 78.5778121948242 87.6911468505859 85.2185668945313
United States USA Broad money (current LCU) FM.LBL.BMNY.CN 326239000000 352973000000 384507000000 420332000000 458295000000 497807000000 521303000000 574880000000 625349000000 631342000000 701958000000 799918000000 908630000000 1001092000000 1079685000000 1189580000000 1311016000000 1468795000000 1634343000000 1794383000000 1986011000000 2225612000000 2448890000000 2651444000000 2983758000000 3231204000000 3534144000000 3677790000000 3927548000000 4136390000000 4247161000000 4310890000000 4304287000000 4329959000000 4347481000000 4646119000000 5011559000000 5412659000000 5932377000000 6496459000000 7023352000000 7580500198181.05 7917998720540.51 8266683128541.8 8741359853877.03 9447094076739.34 10297599323202.7 11503807526482.2 12444255813345.6 13130258002953 12768868670908.1 13622257521129.8 14289978816859.1 14933186984470.5 15706487072700 16200148206841 16823761856960.4 17631631156299 18342259948911.8 19881267983988.3
United States USA Bank capital to assets ratio (%) FB.BNK.CAPA.ZS 12.3748863111551 12.7393075429443 12.2288772120957 11.9634094945734 11.7760477755944 11.6566180965357 11.7110529820643 11.5854894119526 11.6500095760816 11.6862191515384 11.7765033374649
United States USA Capture fisheries production (metric tons) ER.FSH.CAPT.MT 2714623 2852004 2897963 2655052 2519951 2649980 2442257 2311726 2410943 2439130 2794298 2885230 2772595 2808362 2885967 2847282 3088267 3037617 3477688 3583385 3703301 3701137 3952683 4152983 4721775 4719868 4880950 5694242 5670666 5491353 5620405 5244569 5274934 5608158 5652548 5299199 5060701 5054872 4735868 4831285 4760000 4981801 4984749 4988681 4995418 4961267 4858805 4770169 4360459 4233804 4396632 5123157 5100858 5153379 4984481 5045443 4931017
United States USA CO2 emissions from transport (% of total fuel combustion) EN.CO2.TRAN.ZS 23.7314042976734 24.1039894894471 24.2042469537513 24.0814526874783 24.1559530813815 23.5600332351566 23.3852183966387 23.598201876303 24.1630231746618 24.4322249055669 24.5892844059248 25.3394868111444 25.5030384427622 25.7221138367395 25.9590790021569 27.4029442223483 27.0046188776041 26.8811693758406 27.9054117795038 27.1547188681801 27.011292881502 27.2618577532864 28.4103323766318 28.9647800236151 28.5763339204888 28.6349185249189 29.3679633182428 29.3409838613579 29.3696153742876 29.2317260927639 29.7110849670481 29.3707438380744 29.5745384631287 29.362670559988 29.9947048027041 30.3086032823594 30.1549969597191 29.6851315843114 30.290047239325 31.002177126928 30.4408929153729 30.6836225321758 31.4578610330843 31.4931320028167 31.4439677907099 31.6982535025525 32.2370511598348 31.7658190669485 30.9905254716399 31.6877186334809 31.3326039591925 31.7460104239428 33.6254409937888 33.0829660779476 33.3979881032647
United States USA Nitrous oxide emissions (% change from 1990) EN.ATM.NOXE.ZG -0.460536763538211 2.18778316471895 3.56845930368337 7.36485161001035 6.92860278937681 10.2990219432223 9.81886799503031 4.9211108931424 2.25877869013256 -1.91407673121655 -3.76836775682164 -4.32885874692899 -4.17005296639857 -3.01170492017675 -3.451690347411 -5.98604377434634 -6.08319554596494 -8.87350652504928 -8.2093247017721 -8.3681304823025 -10.5795243299797 -12.9497239581874
United States USA Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) EN.ATM.GHGO.KT.CE -90110.50625 92014.9262500001 90579.74375 92328.6799999999 104390.4 89818.8262499999 112316.15 129745.09375 136714.603125 143937.09375 134115.6 140749.003125 130211.3 157170.5 154457.896875 159184.096875 154790.196875 -2819.19687499979 196775.403125 160964.003125 210964.6 201998.7 187464.096875 219513.30625 220773.696875 169692.40625 220322.79375 210277.30625 235105.4 289693.303125 276514.70625 189625.69375 419346.89375 361968.60625 563098.296875 496922.90625 437727.596875 488181.5 195822.29375 580952.3516624 424330.86911148 431395.51321764 448686.26149614
United States USA Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP) EG.USE.COMM.GD.PP.KD 189.695342313687 191.444423691196 188.641634191998 186.802388536681 182.923159178473 180.412966137866 177.717328733036 171.862523478713 165.89075384467 162.646007310533 160.610828533318 156.040545907318 155.104595131638 151.13948195544 148.608697924077 144.249439579456 138.918116468769 138.745023428009 135.372465682242 132.048339928712 131.745170160934 128.280479528787 123.542824366795 122.748380824476 121.567477272687 116.326241408242
United States USA Electricity production from coal sources (% of total) EG.ELC.COAL.ZS 53.9120071928861 53.7305350452496 53.2502024255671 54.3900654256682 54.015362257073 54.6300693578031 54.0999349871459 52.4451319913718 52.0592497868713 49.4470199044028 46.3873498898633 44.7880097218471 44.5662573084567 46.1641233899209 44.1764950813223 44.2954314922731 46.1708537636632 46.1130218136634 44.0050732977558 47.6674423424023 51.2034260006921 52.8278342765603 53.6795932063611 55.0405873321791 56.0522527746312 57.2203518859588 56.1740166775011 57.6421865701551 57.6793133200982 54.1160387558882 53.0673504822167 52.6011017269401 53.2400048064619 53.4013067886965 52.5162305212018 51.4992802892557 52.7220311762238 53.8095484475331 52.7351265762896 52.1167181858501 52.8951522460279 51.6334269469013 50.657299487706 51.3811676423779 50.3966895527569 50.4570863552959 49.7728777773905 48.9939094547418 49.1044398086107 45.437731595683 45.7976057577193 43.3457640868712 38.4798556926388 39.9431412367387 39.6507326894421 34.2327337278988
United States USA Net ODA received (% of central government expense) DT.ODA.ODAT.XP.ZS
United States USA Net official flows from UN agencies, UNPBF (current US$) DT.NFL.UNPB.CD
United States USA PPG, bonds (NFL, current US$) DT.NFL.PBND.CD
United States USA Present value of external debt (% of GNI) DT.DOD.PVLX.GN.ZS
United States USA Net ODA provided, total (constant 2015 US$) DC.ODA.TOTL.KD 17371063000 18840149000 20399728000 21773121000 21572688000 23659826000 21852487000 18323789000 20463904000 17158951000 15221738000 14298910000 17432402000 11090379000 14077964000 14594091000 14497583000 14658830000 16567568000 12657315000 17693252000 13108141000 17508133000 16594774000 17275421000 18069541000 18015711000 16742613000 17997188000 13114373000 18769767000 17954701000 18251258000 15412448000 14799050000 10758266000 13448094000 9698086000 12255387000 12564255000 13372310000 15010836000 17190719000 20696633000 24321218000 33404349000 27300841000 24620948000 29300910000 31714054000 32227810000 32970623000 32046154000 32168863000 33451535000 30985540000 33972650000
United States USA Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) DC.DAC.KORL.CD
United States USA Net bilateral aid flows from DAC donors, Canada (current US$) DC.DAC.CANL.CD
United States USA Foreign direct investment, net inflows (% of GDP) BX.KLT.DINV.WD.GD.ZS 0.113667808624405 0.0661029317079452 0.09928778603873 0.135402869137687 0.22909018193255 0.137099799157697 0.155331555472048 0.140261481987448 0.23388341294583 0.306394238418107 0.585866341978653 0.800737876211163 0.634908482562745 0.316452387124185 0.624874152128993 0.221941613453303 0.675731298001957 1.30241400226355 1.08680748249096 1.34324072334346 1.19450410722934 0.56104703230478 0.464853986617542 0.732369583756588 0.767643589421284 0.904218188320061 1.20969310261879 1.42406557267981 2.32984922894518 3.24431413500134 3.40531833643252 1.63011634288499 1.01546035728561 1.02202397895235 1.74918730740378 1.09187641515516 2.16048784186236 2.39839738438139 2.31832810877764 1.11484356472059 1.76119311216454 1.69532330722204 1.5456250318702 1.71661357594243 1.43694669818054 2.80626773226288 2.53480630662712 1.8801595882266 1.27055378989299 1.64058830901144
United States USA Net capital account (BoP, current US$) BN.TRF.KOGT.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -206500000 -7220200000 -5129900000 1449400000 -714200000 -1111200000 -221500000 -7000000 -256300000 -8000000 -6428000000 -4218000000 12169000000 -3825000000 -8499000000 -4343000000 950000000 -7439000000 -6057000000 -172000000 -5876000000 -6891000000 -9021000000 931000000 -6559000000 -6534000000 -7939000000 -6606000000 12395000000 -4197000000 -6244000000
United States USA Travel services (% of service imports, BoP) BM.GSR.TRVL.ZS 27.1672354948805 28.0667951188182 29.5601173020528 28.9680460974332 27.6084949215143 28.8280197575213 27.5391409072662 26.9996380745566 26.7276743452193 26.0005520287055 25.4088357334635 26.2477718360071 24.9608150470219 24.9170659786215 34.8079509789269 34.5550465083993 32.9411911474837 32.8475756173859 33.1764944481063 33.2650473124573 32.3786861561995 30.4978902953586 33.1459114025696 33.8372478205719 33.872402780387 32.7976097871438 32.5611930514585 32.423638017993 32.3512807456441 29.9192347377035 29.0473410009551 27.2588475846477 25.2772197927865 24.270236425169 24.2019235732351 23.7366361114848 22.4354551986511 21.4299612156746 20.0446927374302 20.2458157584145 19.513117195555 18.9055171555843 19.2371984472255 19.5606858487346 19.6052390361151 20.6255612633372 21.3237376904428 21.6526899068155 22.4187777657192 22.8760136174437
United States USA Cereal production (metric tons) AG.PRD.CREL.MT 163619978 162455780 174812487 160937079 183602617 184444880 208158055 202538423 205288170 186860751 237624461 228117866 237683006 204617505 249283743 258200097 266014469 276602542 302625580 269883982 330889528 333103755 207657604 314749500 347118216 315331216 280494047 206528100 284238058 312410604 280063391 353025147 259105342 355934924 277601210 335780123 336582161 349425744 335364364 342631506 324994634 297143452 348247631 389023763 366436346 338336800 415130860 402399936 418666166 401126330 385545256 356210124 434308450 442849090 431866508 475958847 440117262
United States USA Arable land (% of land area) AG.LND.ARBL.ZS 19.7216714561479 19.3357106046975 19.6063745228716 19.43080873811 19.3253382480107 19.1839466489645 19.0509621179697 19.7620690558753 20.6621712508844 20.6065972555836 20.5416335479137 20.4766698402439 20.4226244027706 20.3595168010342 20.3595168010342 20.3595168010342 20.3682514171915 20.6087809096229 20.6087809096229 20.6087809096229 20.6087809096229 20.5006900346764 20.5006900346764 20.5006900346764 20.5006900346764 20.5006900346764 20.2798134285989 20.2798134285989 20.2780665053674 20.2726073702691 20.2726073702691 20.0983517779311 19.9529204189122 19.8645916130216 19.8536733428249 19.5443587481548 19.3899744075747 19.3015364189821 19.1471520784019 19.1409660857113 19.1444588033949 18.8799945862876 18.7334095910028 18.2337326673885 18.0218775103908 17.5117548368683 17.6687855820614 17.689424313085 17.2683339263967 17.045921486605 16.5805546126667 16.9564204988948 16.643130317073 16.8643726865061 16.6454038406458 16.6454038406458
United States USA Internally displaced persons, new displacement associated with conflict and violence (number of cases) VC.IDP.NWCV
United States USA Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) TX.VAL.MRCH.R2.ZS 0.866812758704651 0.968557660193712 1.27220577350111 1.30612244897959 1.06101797311584 0.763475897540804 0.884740366525897 0.811117377556129 0.784039161454205 0.800800800800801 0.763556600368358 0.704534848423065 0.644416562107905 0.495599107921606 0.492912106469015 0.59334230929941 0.430042135441553 0.370422256650295 0.285368601109767 0.231730425946777 0.321574556499618 0.450456613195608 0.466623674337816 0.425488426814495 0.597436673730952 0.661517104238775 0.579737473899166 0.622693818147303 0.618691418919554 0.602414550015679 0.597744581061916 0.612802072165242 1.19785785360509 1.59954375465858 1.23414947472409 1.14400681965144 1.26771828054386 1.23000795392251 1.22313459373834 0.96228537347657 0.950272422220121 0.977297661095501 1.02578416311458 0.941057651922099 1.03310774898169 1.15857650269598 1.27349347631125 1.52883399702414 1.9338522597914 1.49200972646678 1.57473639715379 1.89941262189035 1.83110488860137 1.83324532662202 1.71789706284558 1.31290207514439 1.33590308075944 1.3639948504474 1.33184938470413 1.32003229239787
United States USA Net barter terms of trade index (2000 = 100) TT.PRI.MRCH.XD.WD 96.7032967 94.50549451 95.40229885 92.04545455 91.86046512 91.76470588 102.2988506 103.125 103.960396 102.9411765 102.7027027 103.6697248 103.6036036 103.8461538 104.6728972 105.1282051 103.4482759 103.7037037 104.8543689 104.950495 100 102.7979275 104.357067 102.8895769 101.2707722 97.18181818 95.92720971 96.5890183 91.79716629 98.98819562 97.08201893 94.59459459 94.68085106 95.34050179 95.86956522 100 100.0834725 99.594485 99.84264359 100.3187251
United States USA Merchandise imports from high-income economies (% of total merchandise imports) TM.VAL.MRCH.HI.ZS 60.7846289894686 61.9070311209383 63.8575806516045 64.8242983635285 65.6807032397838 68.552212945546 70.8272178808019 72.7385619323577 75.1723026191129 77.0953284949051 77.4194530655267 78.6866243632432 79.0773042115375 76.3751100438021 67.665543516761 67.6791197543501 68.4921799370765 66.8639562206668 69.3434658296967 66.3549746176916 65.7507390695503 69.2309464514926 71.6734855587242 72.1388638813866 74.7534295954821 76.9722875809765 79.7177855790368 78.6935618876956 78.4489020931568 76.1577869309371 74.4420267149439 74.3352371901979 72.6662842376513 71.5230016583748 70.334265596305 69.1246868045505 67.2359221662758 66.6175964963231 66.1118585614586 65.594946970853 63.9948314153039 63.3342569290865 61.6392827737627 60.0373627720618 58.0825909391859 55.9254829753707 53.9465662776157 53.2115307402138 51.979025757275 50.0425176325324 48.7115673841026 49.2926745930388 50.0216262192974 50.3085930933225 50.6691591535047 49.6751429011536 49.2721103750719 48.4531832045487 48.7277156887676 50.6765410473503
United States USA Share of tariff lines with international peaks, primary products (%) TM.TAX.TCOM.IP.ZS 7.43632 7.448779 6.880548 7.246499 6.362529 13.44097 14.02975 14.1326 15.08398 13.40543 13.17543 13.5293 13.37968 12.51816 12.33872 11.39836 11.29889 11.89698 10.21107 10.21 9.981192 10.80362 10.19866 10.33102 10.66085 10.16535 10.13118 10.68281 9.839166 10.60377
United States USA Share of tariff lines with international peaks, manufactured products (%) TM.TAX.MANF.IP.ZS 10.87731 10.96623 11.40789 11.41503 11.50841 9.609604 9.187134 8.960987 8.688624 7.934903 7.795129 7.72047 7.731103 6.973958 5.2148 5.03807 4.836478 5.418488 4.775193 4.460267 4.432086 4.451167 4.341097 4.288975 4.38129 4.354247 4.221258 4.948077 4.592044 4.753657
United States USA Urban population (% of total population) SP.URB.TOTL.IN.ZS 69.996 70.377 70.757 71.134 71.508 71.879 72.247 72.612 72.974 73.333 73.602 73.613 73.623 73.633 73.643 73.653 73.663 73.673 73.682 73.692 73.738 73.89 74.042 74.194 74.344 74.494 74.644 74.793 74.942 75.089 75.3 75.701 76.097 76.488 76.875 77.257 77.636 78.008 78.377 78.742 79.057 79.234 79.409 79.583 79.757 79.928 80.099 80.269 80.438 80.606 80.772 80.944 81.119 81.299 81.483 81.671 81.862 82.058 82.256 82.459
United States USA Population, total SP.POP.TOTL 180671000 183691000 186538000 189242000 191889000 194303000 196560000 198712000 200706000 202677000 205052000 207661000 209896000 211909000 213854000 215973000 218035000 220239000 222585000 225055000 227225000 229466000 231664000 233792000 235825000 237924000 240133000 242289000 244499000 246819000 249623000 252981000 256514000 259919000 263126000 266278000 269394000 272657000 275854000 279040000 282162411 284968955 287625193 290107933 292805298 295516599 298379912 301231207 304093966 306771529 309321666 311556874 313830990 315993715 318301008 320635163 322941311 324985539 326687501 328239523
United States USA Population ages 65 and above, male (% of male population) SP.POP.65UP.MA.ZS 8.19985583922586 8.22584946440783 8.23338691460355 8.23253770981322 8.23104367199919 8.23049809673629 8.30063549894692 8.36603720826013 8.42705961915335 8.4789828576082 8.51639254363809 8.61559274849558 8.69016283571956 8.75157407311829 8.80737802997523 8.85796177825483 9.00172349161355 9.14895947410078 9.30460382358021 9.46212582134809 9.6114279455688 9.72142900445779 9.80879934081418 9.88368153458723 9.95552329537225 10.0267263105385 10.1458136542403 10.2498836449784 10.3378249402571 10.406445981154 10.454664218274 10.5146654313265 10.5540328392394 10.5741913283128 10.5731977672014 10.5502803647126 10.5330083672879 10.4990308525549 10.4551226739157 10.4097610607991 10.3710221304184 10.4115762461385 10.4509934316047 10.4958062143319 10.5500705001518 10.6156390149843 10.7224183432874 10.8395038306629 10.9794496647623 11.1579990851894 11.384788938091 11.6709144514969 11.9956998461142 12.348940359733 12.7166197129757 13.091382604609 13.4889033909268 13.8778650408684 14.2651769230979 14.6612409338125
United States USA Population ages 35-39, male (% of male population) SP.POP.3539.MA.5Y 6.92155370473105 6.8192123976768 6.69317079937279 6.54934610764779 6.39956224681208 6.25485928494958 6.12515450923376 5.99100544182333 5.85464674466455 5.72850438214218 5.6294345636571 5.57535340218908 5.54153603292437 5.5281955066693 5.54403986261608 5.60033523446861 5.67608544841081 5.76317538268653 5.83965262739539 5.91648432421668 6.02841856877098 6.27600831795975 6.57169995936956 6.87896335058272 7.158337575012 7.39608162336841 7.62820081085947 7.81581316346499 7.95924902872078 8.07743490250079 8.18981302152185 8.2942839263014 8.40359525934504 8.50243943994949 8.57630934945046 8.62228291057773 8.60224144213434 8.56152312357752 8.49333414643473 8.38926384930149 8.25018087858724 8.08613806685357 7.88333259687908 7.66209121432579 7.44829955932976 7.25633732851091 7.06957363854355 6.90652409531899 6.7645890785258 6.64046316551711 6.53523198308692 6.45285314858836 6.39518146151298 6.36076983153825 6.34864567312097 6.35795989393904 6.38488732706935 6.42854226488836 6.48638722368124 6.55470035586819
United States USA Population ages 10-14, male (% of male population) SP.POP.1014.MA.5Y 9.54992920703294 9.70312278958805 9.81390345742864 9.89482402646847 9.97075177913511 10.0604683452837 10.1663231568831 10.2766993486537 10.3651753320031 10.4133334059025 10.415830975955 10.3617644552119 10.2603648254542 10.1204927077291 9.94234333057508 9.71732310175677 9.52057282664266 9.29889295054716 9.06048116825854 8.82624441413713 8.61385753737885 8.35793202379722 8.13272736318206 7.93079927685265 7.74900787158816 7.59029643554793 7.46898414519689 7.37567907054477 7.30283800523444 7.24623907768903 7.20617209545403 7.22090195183624 7.25957076657946 7.30885860738587 7.36000902865052 7.40816194364974 7.45738459442193 7.51338269597849 7.56667917580526 7.61109318471043 7.6445709168448 7.68315754539814 7.70476115065534 7.70598382622144 7.67455623135665 7.59428984984696 7.46738946100225 7.33036604411252 7.19383472189283 7.0799921081386 7.00608364107127 6.9174396516322 6.84691477297203 6.7874678554085 6.7323370422691 6.6817644003384 6.67481919746659 6.67002431091193 6.66185336077181 6.6364076726942
United States USA Wanted fertility rate (births per woman) SP.DYN.WFRT
United States USA Adolescent fertility rate (births per 1,000 women ages 15-19) SP.ADO.TFRT 81.741 79.185 76.629 74.6802 72.7314 70.7826 68.8338 66.885 65.7818 64.6786 63.5754 62.4722 61.369 59.642 57.915 56.188 54.461 52.734 52.4856 52.2372 51.9888 51.7404 51.492 51.8474 52.2028 52.5582 52.9136 53.269 54.5174 55.7658 57.0142 58.2626 59.511 57.8868 56.2626 54.6384 53.0142 51.39 49.6484 47.9068 46.1652 44.4236 42.682 42.0618 41.4416 40.8214 40.2012 39.581 37.2522 34.9234 32.5946 30.2658 27.937 26.3216 24.7062 23.0908 21.4754 19.86 18.5562
United States USA Unemployment, male (% of male labor force) (modeled ILO estimate) SL.UEM.TOTL.MA.ZS 7.15000009536743 7.90000009536743 7.17000007629395 6.17000007629395 5.63000011444092 5.44000005722046 4.94000005722046 4.42000007629395 4.11999988555908 3.90000009536743 4.80000019073486 5.92999982833862 6.26999998092651 5.6399998664856 5.07000017166138 4.61999988555908 4.73000001907349 6.09999990463257 10.2799997329712 10.5100002288818 9.36999988555908 8.22000026702881 7.63000011444092 6.26000022888184 5.36999988555908 4.94000005722046 4.40000009536743 3.95000004768372 3.72000002861023
United States USA Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.ZS 13.3400001525879 14.1700000762939 13.3100004196167 12.4300003051758 12.0600004196167 11.9399995803833 11.289999961853 10.3100004196167 9.78999996185303 9.21000003814697 10.4399995803833 11.8999996185303 12.3199996948242 11.7399997711182 11.1700000762939 10.3599996566772 10.3999996185303 12.6800003051758 17.4400005340576 18.2900009155273 17.2000007629395 16.3999996185303 15.4300003051758 13.2799997329712 11.5100002288818 10.3199996948242 9.14000034332275 8.52000045776367 8.30000019073486
United States USA Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) SL.TLF.CACT.MA.ZS 75.2900009155273 74.6699981689453 74.7600021362305 74.4199981689453 74.2399978637695 74.2699966430664 74.2900009155273 74.370002746582 74.2699966430664 74.1999969482422 74.1999969482422 73.6600036621094 73.1600036621094 72.4700012207031 72.2200012207031 72.1600036621094 72.2799987792969 71.9899978637695 71.7699966430664 70.7399978637695 69.9000015258789 69.3300018310547 69.5599975585938 68.9599990844727 68.5199966430664 68.4100036621094 68.5500030517578 68.4800033569336 68.4599990844727 68.5899963378906
United States USA Labor force participation rate for ages 15-24, total (%) (national estimate) SL.TLF.ACTI.1524.NE.ZS 56.4000015258789 56.2999992370605 55.7999992370605 55.2000007629395 55.2999992370605 55.7999992370605 57.0999984741211 57.7000007629395 57.7000007629395 58.9000015258789 59.7999992370605 59.9000015258789 61.7999992370605 63.7000007629395 64.9000015258789 64.5999984741211 65.3000030517578 66.6999969482422 68.1999969482422 68.5999984741211 68.0999984741211 67.6999969482422 67.1999969482422 67.0999984741211 67.6999969482422 68.3000030517578 68.5999984741211 68.4000015258789 68.4000015258789 68.5999984741211 67.3000030517578 66 66.0999984741211 66.0999984741211 66.5500030517578 66.4400024414063 65.6999969482422 65.7099990844727 65.870002746582 65.4800033569336 65.8099975585938 64.5299987792969 63.2799987792969 61.560001373291 61.1399993896484 60.7799987792969 60.6199989318848 59.3899993896484 58.7799987792969 56.8600006103516 55.1699981689453 54.9700012207031 55.8199996948242 55.0499992370605 55.0099983215332 55 55.1599998474121 55.4700012207031 55.2200012207031 55.8800010681152 53.9099998474121
United States USA Children in employment, study and work, female (% of female children in employment, ages 7-14) SL.TLF.0714.SW.FE.ZS
United States USA Employment in industry (% of total employment) (modeled ILO estimate) SL.IND.EMPL.ZS 25.9599990844727 25.8299999237061 25.7099990844727 25.6399993896484 25.4899997711182 25.3099994659424 25.1299991607666 24.9200000762939 24.6900005340576 24.4400005340576 23.7399997711182 22.75 22.4500007629395 22.3899993896484 22.2600002288818 22.3500003814697 22.1399993896484 21.4599990844727 20 19.6399993896484 19.7099990844727 19.7399997711182 19.9500007629395 19.9799995422363 19.8600006103516 19.7800006866455 19.7299995422363 19.8700008392334 19.9099998474121
United States USA Employment to population ratio, 15+, total (%) (modeled ILO estimate) SL.EMP.TOTL.SP.ZS 60.6399993896484 60.4300003051758 60.7299995422363 61.6599998474121 62.1100006103516 62.4000015258789 63.0099983215332 63.310001373291 63.560001373291 63.7700004577637 62.9199981689453 61.9000015258789 61.3899993896484 61.4300003051758 61.7400016784668 62.1399993896484 61.9700012207031 61.2099990844727 58.3600006103516 57.4500007629395 57.3600006103516 57.9599990844727 57.8899993896484 58.3600006103516 58.7299995422363 59.1300010681152 59.5800018310547 59.8899993896484 60.2700004577637 56.310001373291
United States USA Employment to population ratio, ages 15-24, male (%) (national estimate) SL.EMP.1524.SP.MA.NE.ZS 63.4000015258789 61.4000015258789 62.0999984741211 60.7999992370605 61.0999984741211 62.4000015258789 63.7000007629395 63.9000015258789 63 63.4000015258789 61.7000007629395 60.7000007629395 62.7999992370605 65.6999969482422 65.3000030517578 60.4000015258789 62.0999984741211 64.1999969482422 66.0999984741211 66.5 63.5 62.2000007629395 58.7000007629395 59.2000007629395 62.2999992370605 62.7000007629395 63 63.2000007629395 64.0999984741211 64.6999969482422 63.5 60.2999992370605 59.7000007629395 60.0999984741211 61.060001373291 61.5400009155273 60.2200012207031 60.2999992370605 60.7900009155273 61.0200004577637 61.9199981689453 59.3699989318848 57.0900001525879 55.3300018310547 55.5499992370605 55.1500015258789 56.2099990844727 54.4300003051758 52.25 46.7000007629395 44.9300003051758 45.9900016784668 47.6699981689453 46.939998626709 48.2099990844727 49 50.0499992370605 50.7999992370605 50.5800018310547 51.2799987792969 46.4099998474121
United States USA Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population) SI.POV.UMIC 1.7 1.2 1.2 1.2 1.5 1.2 1.2 1.7 1.5 1.7 1.7 1.7
United States USA Income share held by lowest 10% SI.DST.FRST.10 2.1 2.3 2 2 1.9 1.9 1.9 1.8 1.7 1.8 1.8 1.8
United States USA Domestic general government health expenditure (% of GDP) SH.XPD.GHED.GD.ZS 5.54235458 5.96851349 6.32175112 6.52229786 6.61047077 6.62959194 6.80947447 6.92363548 7.25218725 7.87894869 7.95006084 7.93388987 7.90685177 7.93758345 8.23691463 8.47222233 8.59051895 8.54503059 8.51236343
United States USA Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure SH.UHC.NOP2.TO
United States USA Mortality caused by road traffic injury (per 100,000 people) SH.STA.TRAF.P5 10.6 12.4
United States USA Diarrhea treatment (% of children under 5 who received ORS packet) SH.STA.ORTH
United States USA Births attended by skilled health staff (% of total) SH.STA.BRTC.ZS 99 99.2 99.2 99.3 99.4 99.4 99.4 99.4 99.4 99.4 99.4 99.4 99.4 99.5 99.3 99.3 99.4 99.4 99.3 99.3 99.3 99.2 99.3 99.3 99.2 98.5 99.1
United States USA Prevalence of anemia among pregnant women (%) SH.PRG.ANEM 16.1 15.7 15.4 15 14.5 14.1 13.6 13.2 12.7 12.3 12 11.8 11.7 11.7 11.8 12.1 12.4 12.7 13.1 13.5 13.9 14.3 14.7 15 15.4 15.8 16.2
United States USA Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) SH.HIV.INCD.ZS 0.29 0.27 0.26 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.26 0.26 0.26 0.27 0.26 0.25 0.25 0.25 0.24 0.24 0.24 0.24 0.22 0.22
United States USA People using at least basic drinking water services, rural (% of rural population) SH.H2O.BASW.RU.ZS 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043 96.9727707102043
United States USA Cause of death, by non-communicable diseases (% of total) SH.DTH.NCOM.ZS 87.8724532736615 88.1043193118658 88.042831442106 88.1449804799197
United States USA Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age) SH.ALC.PCAP.FE.LI 4.29 4.46 4.38 4.61 4.64
United States USA Expenditure on tertiary education (% of government expenditure on education) SE.XPD.TERT.ZS 27.22716 27.50228
United States USA Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) SE.TER.CUAT.ST.MA.ZS 36.9446792602539 36.4735717773438 37.2006912231445 38.0628814697266 38.0480690002441 38.3180809020996 39.3158302307129 40.1651496887207 40.7895698547363 40.8264198303223 41.152271270752 42.3129806518555 43.7934112548828
United States USA Secondary education, teachers SE.SEC.TCHR 1003000 1320775 1341314 1369314 1394080 1464242 1638605.75 1661375 1694959
United States USA School enrollment, secondary (% net) SE.SEC.NENR 89.34377 88.38466 89.75284 89.29903 89.46575 89.86874 91.27156 92.18317 92.45022
United States USA Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.UP.FE.ZS 66.8000030517578 77.1791381835938 85.4337310791016 85.4364624023438 86.3811264038086 87.2264022827148 87.1326675415039 87.6601486206055 88.0463714599609 88.0367279052734 88.6239929199219 88.8588333129883 88.7589416503906 89.598388671875 90.1592025756836
United States USA Children out of school, primary SE.PRM.UNER 135557 575132 887458 672416 611514 446256 88850 104711 141533
United States USA Persistence to grade 5, male (% of cohort) SE.PRM.PRS5.MA.ZS
United States USA School enrollment, primary, female (% gross) SE.PRM.ENRR.FE 99.7421417236328 101.152801513672 98.7853317260742 98.3432083129883 99.0417327880859 100.564247131348 100.94344329834 105.724319458008 104.356376647949 102.850570678711 102.602348327637 103.552131652832 102.901496887207 103.888488769531 103.350410461426 99.9262390136719 101.239807128906 100.347221374512 101.233177185059 100.992156982422 101.310600280762 102.594871520996 102.934577941895 103.322692871094 102.40641784668 99.8181076049805 99.5945587158203 98.3895874023438 99.0333786010742 99.502082824707 100.287261962891 101.276412963867 101.421997070313 101.19637298584
United States USA School enrollment, preprimary, male (% gross) SE.PRE.ENRR.MA 53.6375885009766 53.9903793334961 54.0178909301758 60.2517395019531 63.0343818664551 64.3721237182617 60.9702301025391 61.9328689575195 66.0038070678711 71.108642578125 71.6112594604492 71.6500091552734 69.3920364379883 69.9481201171875 71.9209594726563 71.5992813110352 72.3599319458008 72.68505859375 72.0889587402344 72.7267074584961 71.6148834228516
United States USA Literacy rate, youth female (% of females ages 15-24) SE.ADT.1524.LT.FE.ZS
United States USA Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) per_sa_allsa.ben_q1_tot
United States USA Official exchange rate (LCU per US$, period average) PA.NUS.FCRF 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
United States USA GNI per capita, PPP (constant 2017 international $) NY.GNP.PCAP.PP.KD 40813.2369509707 40201.4746683092 41029.3675327016 41597.4376240738 42686.8839380342 43335.5028939217 44457.3743570755 45828.7232175787 47290.5970576346 49008.1709382713 50503.9883853758 50566.3014000095 50948.5204238315 52006.6698671179 53553.6064086343 54902.3738456265 55799.5817451833 56524.509910827 56073.6900114922 54144.4745825998 55247.6023256943 55816.337463238 56611.7884158409 57229.1217316042 58251.3282309932 59430.9823689325 59935.4412488403 61018.9519848146 62512.9149939473
United States USA Gross domestic income (constant LCU) NY.GDY.TOTL.KN 5263082985691.16 5428760482012.7 5709014102198.03 6028796047070.17 5953881817107.05 5946749319222.31 6267640094174.9 6542463360512.94 6902714337964.1 7106737441830.18 7043651984981.95 7229641243677.8 7114196888936.3 7455836290574.59 8002344352262.1 8337215053110.19 8619078750313.51 8900541685582.04 9272588498246.81 9609107292934.05 9774786880461.66 9775184593054.48 10114645188974 10399906332433.8 10819711067926.9 11104073176679.9 11525900688139.9 12056108650495.9 12633186694742.3 13217416782308.7 13732069806390.9 13893347415152.2 14141536800511.2 14527917279273.4 15064607846938.3 15560278034009.4 15991346761369.8 16291199673773.1 16178923664143.8 15865958254285.6 16243181662495.9 16467164933791 16847771427632.3 17187969593819.7 17640266669027.3 18224704440000 18558171216709.6 19008097837568.2 19576921388185.4 20024924524272.7
United States USA GDP (constant LCU) NY.GDP.MKTP.KN 3457188037625.69 3536703362491.07 3752442267603.03 3917549727377.56 4144767611565.47 4410032738705.65 4696684866721.53 4814101988389.57 5045178883832.25 5201579429231.05 5184790768000 5355544717000 5637187209000 5955446985000 5923255023000 5911084866000 6229582348000 6517648154000 6878419708000 7096200812000 7077981179000 7257600431000 7126755007000 7453440276000 7992817426000 8326090413000 8614393926000 8912415134000 9284690848000 9625685634000 9807222246000 9796605035000 10141684813000 10420869608000 10840709674000 11131705449000 11551649184000 12065376014000 12606074686000 13205271165000 13750316621000 13887591642000 14129471165000 14533745116000 15085866269000 15615865004000 16061693624000 16363038535000 16340689929000 15926166322000 16334476049000 16587796903000 16960947000000 17273381394000 17709702422000 18224704440000 18523195658000 18962158494000 19517242639000 19939044659043.9
United States USA Inflation, GDP deflator: linked series (annual %) NY.GDP.DEFL.KD.ZG.AD 3.74333445632146 3.38175567271037 2.27890838632088 2.36928027473641 2.13537873591119 2.09683126636494 1.83103084756513 1.72439099871711 1.12552040409338 1.44380351758386 2.23547441123833 2.19342533638671 1.58176301417505 1.85709519801695 2.69221212837417 3.11494235130895 3.0262046366861 2.68627890794771 1.94513170436437 0.762349990994537 1.16525054065757 2.08890377813606 1.9178490081095 1.75491578553326 1.8498274668072 1.04146187127856 1.03526887876487 1.88368859016883 2.43600189593653 1.94194523627264
United States USA Adjusted savings: gross savings (% of GNI) NY.ADJ.ICTR.GN.ZS 21.5383312282021 21.5137506599732 22.0846898923629 23.6783513333818 22.5657632138029 20.9196024585736 21.5083095181169 22.1991962240777 23.4458622145357 23.6380738749339 22.2769844628924 23.3922756775226 21.6053161727543 19.901399160194 21.9352665927964 20.497652708515 19.2213721359405 19.7238571775887 20.554297650365 19.898877907738 18.9494247148141 18.9993849181941 17.9146702439247 17.359273440962 18.1432923338388 18.9088201749748 19.7045044144806 20.8037367095776 21.2076901622074 20.8219660464464 20.558041090504 19.4064545121243 18.2018531208373 17.3508542906375 17.646809465788 18.0337413860997 18.9592655876522 17.5153831174618 15.3464492943016 14.0428571785746 15.3800264644005 16.2472420932849 18.3013788723668 18.8231089867907 19.7995967213382 19.7331129492726 18.3838532448447 18.3844179282014 18.3184644379152
United States USA Services, value added (% of GDP) NV.SRV.TOTL.ZS 71.8090286325535 72.4198198585911 72.6983134719414 72.8162344920374 74.0123787454977 74.8805318410397 74.610614864066 74.1592750501167 74.0160024727475 73.7030243404572 73.902576673526 74.5258289382957 76.44395484351 76.2062985572636 75.8633354917187 76.1485322087076 75.7744618881114 75.8123391167426 76.7960777420432 77.5122430343647 77.1978856665517 76.8904031952837
United States USA Industry (including construction), value added (constant 2010 US$) NV.IND.TOTL.KD 2449310678606.68 2540882582407.74 2683213223328.42 2818593426205.97 2720008685182.77 2721889158210.25 2800852670123.09 2956473193250.02 3002812359941.72 3128817628732.78 3189455430678.1 3075380438646.67 2842814850543.93 2901755514000 2914383421081.3 2959955615213.46 3034475037465.04 3105800118772.06 3173935193964.29 3185946472450.8 3278970292330.77 3382360875462.36
United States USA Agriculture, forestry, and fishing, value added (current LCU) NV.AGR.TOTL.CN 114674330000 110022333000 110866523000 117948761000 119503208000 106130395000 127788915000 153729333000 148911711000 138239746000 154175628000 156807011000 139948397000 156289352000 189073562000 187695610000 223828260000 207796973000 189111195000 175026476000 183843154000 177932580000
United States USA Gross capital formation (annual % growth) NE.GDI.TOTL.KD.ZG 5.44996885224955 7.81700640486866 8.98741965728964 -4.82866624083003 -12.4166381571345 14.9717764446099 11.0208037355883 10.680327092647 3.85311626273275 -7.70410101182975 6.77104484042479 -10.1760394990996 8.67042151579516 23.7425033608995 2.40296474868977 1.81125751528582 3.4994098413808 1.68888624795242 3.62264127066712 -1.02705188103809 -5.25382183256143 5.50554251910683 5.37942197175083 9.03486261333173 2.86456086476899 7.5917276512407 9.4817934532355 8.6603963572809 7.95128797619853 6.09796335438028 -3.9924446898216 0.472452385992611 4.1315826534792 7.82486001482634 5.60903918553296 3.05720455176466 -1.61930078114429 -6.2137922234308 -16.5958949726061 10.4575425810656 4.21805954369461 7.66297098374447 4.66574255285541 4.3948810935035 5.04799124347824 -0.922271600613826 3.31892902997062 5.75846659807698 2.13644617276032
United States USA Exports of goods and services (constant LCU) NE.EXP.GNFS.KN 191712299000 195034904000 210237038000 249801125000 269642313000 267915665000 279613944000 286334516000 316558487000 347906210000 385366839000 390063131000 360196891000 350863452000 379468571000 392183760000 422234112000 468378540000 544313847000 607327912000 660905512000 704619278000 753430948000 778108659000 846861682000 933911450000 1010264586000 1130586193000 1156994367000 1214629113000 1315980487000 1239861068000 1218325666000 1244916045000 1365277717000 1462592932000 1599240425000 1738403481000 1836765178000 1682540218000 1886771192000 2021464997000 2090369698000 2165103029000 2256351127000 2265862000000 2272552999000 2361530699000 2432129614000 2429289707000
United States USA Final consumption expenditure (current US$) NE.CON.TOTL.CD 839510000000 908897000000 993651000000 1088700000000 1195366000000 1327272000000 1462173000000 1615144000000 1793022000000 1990125000000 2204317000000 2440992000000 2625786000000 2876998000000 3127068000000 3403470000000 3624267000000 3853172000000 4150467000000 4458186000000 4757180000000 4948306000000 5245942000000 5525024000000 5829066000000 6104333000000 6417484000000 6757318000000 7144856000000 7630960000000 8200138000000 8603027000000 8987727000000 9470095000000 10065348000000 10709823000000 11333686000000 11905251000000 12328725000000 12272811000000 12695979000000 13152863000000 13522794000000 13849216000000 14388171000000 14905109000000 15430817000000 16083058000000 16884571000000 17539657000000
United States USA General government final consumption expenditure (current LCU) NE.CON.GOVT.CN 192785000000 208960000000 225498000000 239125000000 265205000000 296725000000 314508000000 341169000000 370770000000 404705000000 453650000000 507041000000 554529000000 595393000000 634728000000 690640000000 737989000000 776893000000 820454000000 881429000000 948186000000 1004857000000 1048383000000 1073040000000 1108101000000 1141743000000 1172889000000 1220528000000 1267607000000 1351881000000 1437995000000 1537392000000 1645041000000 1746986000000 1852686000000 1962705000000 2073341000000 2198821000000 2352394000000 2430603000000 2510143000000 2511754000000 2515979000000 2532006000000 2565418000000 2607628000000 2660855000000 2742704000000 2891289000000 2995056000000
United States USA Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) LP.LPI.CUST.XQ 3.52 3.68 3.67 3.728529 3.752486 3.78

Metadata_Country_API_USA_DS2_en_csv_v2_2056322.csv

"Country Code","Region","IncomeGroup","TableName","SpecialNotes", "USA","North America","High income","United States","",