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API_Euroarea_en_csv_v2_2057112.zip

Metadata_Indicator_API_EMU_DS2_en_csv_v2_2057112.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.
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.
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.
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.
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.
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.
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).
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.
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).
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$) Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
AG.PRD.LVSK.XD Livestock production index (2004-2006 = 100) Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins. Food and Agriculture Organization, electronic files and web site.
AG.LND.EL5M.RU.K2 Rural land area where elevation is below 5 meters (sq. km) Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
NE.CON.PRVT.CD Households and NPISHs Final consumption expenditure (current US$) 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.
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.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).
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.
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.
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.
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.
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.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.
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.
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.
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.
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.
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.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).
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.
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.
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.
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.
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.
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.
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.

API_EMU_DS2_en_csv_v2_2057112.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
Euro area EMU Internally displaced persons, total displaced by conflict and violence (number of people) VC.IDP.TOCV
Euro area EMU Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) TX.VAL.MRCH.R4.ZS 7.88181430595374 6.23798881885132 4.83422301068939 4.74495143218334 4.25373330434762 4.28072094553597 4.01261990159252 3.80003969319495 3.87977662731825 3.61527836365533 3.36806100242426 3.34766926124597 3.43829015934663 3.72093918559089 4.97582231770496 7.02364494456395 6.44495637609094 6.56625424997619 6.23552639056594 5.51871716318989 6.17657301835779 7.67671906062211 6.91255177935032 6.48051799421654 5.63122411475388 4.84291705312259 3.49943761343739 2.80446266602574 2.70306679213021 2.74266059582498 2.86433862477585 2.89353487890112 2.84466928177421 2.81359097704536 2.44175217513488 2.1829222985114 2.15961722466186 2.09610832881293 2.11908091479357 2.02225089136814 1.91182781189885 2.03204519016246 2.07736126922278 2.06398138377424 2.15456627595353 2.2438530198635 1.97847416702709 1.98069875944604 2.27512821293414 2.66719592440812 2.5639870567904 2.2202846197193 2.37744317696689 2.38943209349246 2.33528561794287 2.26660890537881 2.26020428263855 2.18159056473476 2.08325959308147 1.93816740732006
Euro area EMU Export volume index (2000 = 100) TX.QTY.MRCH.XD.WD
Euro area EMU Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) TM.VAL.MRCH.R1.ZS 1.62887000388405 1.2179168169072 1.0522708887122 1.01078430744915 1.26907376284402 1.33969494799397 1.71532390142318 1.48633239701504 1.2864556224736 1.28875383039393 1.13706689367863 1.09244589388162 1.08242674497999 1.27278682411251 1.16401603503365 1.13645107757133 1.28207629790378 1.40525618796151 1.43433724836902 1.50660630385282 1.49731837958532 1.43977277476974 1.40718146788597 1.4326930043326 1.56385098034253 1.53572279897701 1.5724604195119 1.6987033728359 1.86205072595356 1.96703587799166 2.06261426095173 2.55040555733268 2.81183545354708 3.62934602902177 3.65729755117819 3.67545084852299 3.94791221795578 4.09439074326902 4.26200071663512 4.29800157926084 4.62324428787518 4.71211837645804 4.92933904416376 5.40175481984412 5.83968971718546 6.377806180867 6.76462543547988 7.30612281206199 7.34419667842245 7.85170690702261 8.65146437443921 8.18468551235024 8.06869676953435 7.96843196721498 8.41567262369863 9.38998244028172 9.52467434878605 9.55193887628283 9.36845911917624 9.69848428796034
Euro area EMU Tariff rate, most favored nation, simple mean, primary products (%) TM.TAX.TCOM.SM.FN.ZS
Euro area EMU Tariff rate, most favored nation, simple mean, manufactured products (%) TM.TAX.MANF.SM.FN.ZS
Euro area EMU International tourism, number of arrivals ST.INT.ARVL 448120957.914376 456920094.132533 483689631.204852 488730506.369917 489759073.378042 478015161.906252 485769067.098471 508494434.967541 513787450.677895 532531225.564768 548378758.001446 564125526.923066 583438533.975619 610362150.047755 631498886.527501
Euro area EMU Population, female (% of total population) SP.POP.TOTL.FE.ZS 52.0430705701263 52.0016706677627 51.9559174222823 51.9081572910788 51.8615313579336 51.8193033299471 51.7823329591141 51.7489893611349 51.7195377658105 51.6930805436425 51.66633919574 51.6399583358056 51.615568008087 51.5930626923004 51.5736269861083 51.5575926216061 51.5456152559834 51.5378170417592 51.5327573685475 51.5286491953168 51.5244108210415 51.519511157936 51.5136475036991 51.5060255854964 51.4958570740893 51.483033317835 51.4672030770193 51.4485437554249 51.4290409397229 51.4110729901152 51.3956484252382 51.3831477125202 51.3732835191284 51.3653323738756 51.3583405217747 51.3515090996148 51.3449886513402 51.3387300145935 51.3314554207087 51.3218625173163 51.3087793090799 51.2910796579566 51.2697939216574 51.2478051384581 51.2286586818313 51.2144384015036 51.2057636358008 51.2016832084715 51.2011318215599 51.2020711170476 51.2022360136704 51.2027056657923 51.2021843485573 51.2002758876694 51.1935282104318 51.1797849522431 51.1590462217497 51.1328001578094 51.103493034604 51.0747411231916
Euro area EMU Population ages 65 and above (% of total population) SP.POP.65UP.TO.ZS 10.1960258138416 10.334929776006 10.4729727889309 10.6131546136198 10.7577170123695 10.9114350336239 11.1098766001307 11.3089136823249 11.5082682417909 11.7074869334501 11.8999241328952 12.1117151430228 12.3027676089272 12.4768094375793 12.6397275971056 12.7922850631107 13.0078229012659 13.2201590945094 13.4014741169694 13.5088555541704 13.5214685302856 13.492955015834 13.3674101379431 13.2034206987999 13.0850283392532 13.061247669751 13.1725766769886 13.3639835278724 13.6066066909236 13.8545429192007 14.0804586782034 14.3284610557024 14.5565637024262 14.7681344103152 14.9696916528311 15.1670948801497 15.4095963023144 15.6339750042412 15.851095662302 16.074299572476 16.3110676124846 16.5444685978572 16.7875090822364 17.0294874022211 17.2510076170033 17.4427420959014 17.6449153438767 17.8110325446206 17.964734776752 18.1398478175016 18.3592891072386 18.5947585351334 18.8795581820415 19.1969961442642 19.5204900746206 19.8339056981372 20.1000421688118 20.3528671201639 20.5996320825178 20.8562879785886
Euro area EMU Population ages 40-44, male (% of male population) SP.POP.4044.MA.5Y 4.76054215430158 4.85198482286718 5.17291417376071 5.62211627215995 6.04297684293697 6.34108776652414 6.53082251332991 6.62395731296128 6.64646073887409 6.64710876984417 6.6554072871547 6.64257805559138 6.61889603992854 6.59475425839688 6.58381427716318 6.59326093865443 6.61531440815292 6.66755755993422 6.72852764125899 6.76300405197082 6.75090657758024 6.68057867387556 6.56113296520543 6.42988991468731 6.34548076205123 6.34258741369622 6.40421034685068 6.54779719616502 6.73508627289412 6.90499408284426 7.02119023300057 7.07949494769336 7.09212545651985 7.08136971828677 7.08409070304609 7.12223963597433 7.18007533411183 7.26222128511279 7.36551599377396 7.48272701002459 7.60694482121809 7.72929089747927 7.86171012361165 7.99066038192614 8.09782415758664 8.17210819388175 8.19047894217602 8.17648920609152 8.13284723213705 8.0664000007862 7.98362358444813 7.87609792554779 7.75466179891545 7.62269107170544 7.48817434317147 7.35680357372972 7.24346684791432 7.1399188713442 7.04665587557935 6.96527567232365
Euro area EMU Population ages 15-19, male (% of male population) SP.POP.1519.MA.5Y 7.67472743766263 7.70138591583438 7.82573480347121 7.99914984429789 8.14532943718459 8.21968262640225 8.22192132258636 8.16940923948711 8.08772999322371 8.02002841577289 7.9954620686128 8.02033430023629 8.06913714183594 8.13911161369137 8.22264886680569 8.31293946756133 8.41465587162822 8.52830316947045 8.6419428293481 8.73502575960936 8.79201495893115 8.78709962234611 8.74398674684621 8.66703091663771 8.56259498033423 8.43460705309275 8.2756214589831 8.09400091429954 7.89806243285581 7.69971118615126 7.50844212967051 7.32788863537108 7.15815444501183 7.00434176916192 6.87149843857466 6.76074975536043 6.66975152950406 6.60199648686223 6.54985689236856 6.50147258925229 6.44909852081258 6.39663212270503 6.33445532435232 6.26180828570116 6.18008298735571 6.09234831607718 6.02200967816596 5.94436993993253 5.86296269780456 5.78435094431 5.71316900930668 5.65624262545125 5.6119116395357 5.57797037452492 5.55043586460916 5.52683223671411 5.50486530945361 5.48279418081768 5.46416670335814 5.4537799359715
Euro area EMU Women who were first married by age 15 (% of women ages 20-24) SP.M15.2024.FE.ZS
Euro area EMU Mortality rate, adult, male (per 1,000 male adults) SP.DYN.AMRT.MA 197.292211027557 194.394443144606 198.419357499964 199.210634673424 192.772253084388 194.471092133125 191.127989444084 191.547899942606 191.262448966724 196.299204072479 188.603360856787 190.754735519189 188.53634474827 186.817889916812 185.245208893226 186.953676391763 186.384578772216 182.613356962708 181.127992173429 178.978768296668 177.248126596059 174.199798662743 170.574146618376 171.329462138216 168.136059895113 165.538065018433 160.993173181014 157.77567143253 155.719651675176 155.4332684631 155.279213864056 155.237470793811 152.023444613768 150.352214493119 148.387682566832 145.951558403369 141.524919837036 135.8944197017 132.563750969985 130.406471276358 127.974352364293 125.995128765987 123.767874052199 121.637727066739 116.287170242406 114.665135459634 111.866610333284 109.562396874063 106.635759546795 104.195198069597 101.265575252115 98.2747434236023 95.4854997802524 92.6656548297789 89.3858530488961 94.426981989472 91.1621251909277
Euro area EMU Unemployment, total (% of total labor force) (modeled ILO estimate) SL.UEM.TOTL.ZS 8.2879405905288 8.89718264325642 10.6768816995964 11.7569921625992 11.4365656720669 11.6663409519617 11.6606033540827 11.2002534842844 10.4403808721973 9.42597317520148 8.34799131081234 8.61464448971007 8.95962330673914 9.24665509408996 9.02067429134047 8.31290825230377 7.43647370555577 7.4842855280903 9.53805305688305 10.0705581302316 10.1101303143853 11.2905074086757 11.9276417825411 11.6036219305388 10.8379272424013 10.0248104987162 9.06320919509797 8.18012067466871 7.55521002771859 8.19989939650181
Euro area EMU Unemployment with advanced education, male (% of male labor force with advanced education) SL.UEM.ADVN.MA.ZS 5.9637165842108 5.33824980716788 4.74637895003206 4.263194282494 4.2932438575902 4.70481375258974 5.0206404654114 4.96696622730574 4.39210130255632 3.80289574769161 3.70341509996857 5.63783437616715 6.33352685848096 6.93115159862822 8.29277625980446 8.83959141114446 8.35800753069103 7.54423988474585 6.63836236928572 5.75411237000213 5.29698691347773 5.07346410106796
Euro area EMU Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) SL.TLF.CACT.ZS 54.9587965110253 55.2750649015766 54.6989536839927 54.4017384846119 54.4352648643495 54.260348508887 54.3633681691294 54.4815164826742 54.6920912176515 54.9989118991483 55.1258099162775 54.9501254667226 55.3325478953412 55.7206433700909 55.8518399604703 56.15737296022 56.3767348611493 56.6106013347802 56.8356535875124 56.7619659799268 56.7001917584465 56.6738530029957 56.882757621981 56.8001276624371 56.6675437886694 56.5987680467956 56.7219786889533 56.799392404564 56.9319407951055 57.0037587537114 56.0829980960521
Euro area EMU Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.FE.ZS 52.5147288436509 53.8392105338 53.7726850032156 53.8267934028351 54.49765355502 54.8290982691204 55.3833387645281 55.9182191471281 56.5717552823784 57.5193699734291 58.146952704375 58.2279880573299 59.2457637799518 60.3166341008593 60.986768966618 61.7026788997403 62.4713617353263 63.1024110356903 63.7754713980275 64.2566665258009 64.6791706676888 65.1379228456847 65.890830209172 66.3439617007833 66.6280402440493 66.8724057901827 67.3966982790895 67.7172110694973 68.072138660325 68.4842322392793
Euro area EMU Children in employment, study and work, male (% of male children in employment, ages 7-14) SL.TLF.0714.SW.MA.ZS
Euro area EMU Child employment in manufacturing, male (% of male economically active children ages 7-14) SL.MNF.0714.MA.ZS
Euro area EMU Vulnerable employment, male (% of male employment) (modeled ILO estimate) SL.EMP.VULN.MA.ZS 13.6201437804617 13.5840287882286 13.5690683826269 13.7099279040096 13.588123174673 13.6412884572062 13.5909395292548 13.3166372237876 12.8827028185135 12.6529458340511 12.5581611822778 12.6267326213058 12.7287650299841 12.8091666441705 12.8013784214032 12.7025056916973 12.5443198262596 12.1669531950192 12.3645987841834 12.5834436213544 12.6570194096818 12.8236578780518 12.7475978464342 12.657139378603 12.462820087444 12.2563858588568 11.9204994721728 11.7103890464262 11.652157669372
Euro area EMU Employment to population ratio, ages 15-24, total (%) (national estimate) SL.EMP.1524.SP.NE.ZS 40.5226045651187 41.6219862540608 41.3483686483942 39.9428142004335 40.5988993909868 40.7660659924934 41.1491264926311 41.8569695822873 40.5456334676279 38.4579346054113 35.5380671803269 34.3273801536054 33.5663261919 32.5564285029946 32.5009171433337 33.804301933167 35.0519936252323 36.1319752342956 36.665753256551 36.6078172431984 36.2057702538549 35.5239350249485 35.6997806218458 36.2715031958696 37.3609087599039 37.2104527236772 34.5405662622895 33.4025550547955 33.0520970088996 31.7729749353504 31.1046075023757 30.6759726813125 30.9723494217284 31.4371305550655 32.3725369706981 33.3297938679527 33.977766950881
Euro area EMU Average transaction cost of sending remittances to a specific country (%) SI.RMT.COST.IB.ZS
Euro area EMU Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) SI.POV.DDAY
Euro area EMU Domestic general government health expenditure per capita (current US$) SH.XPD.GHED.PC.CD 1300.4103289608 1336.88411002721 1487.40324629674 1855.63109495057 2107.76925259895 2198.51315044048 2314.72374071292 2620.69581966521 2961.0699622625 2929.51753612534 2841.99105512907 3013.65481887411 2796.40101398387 2937.59606980478 3006.59224680078 2586.95273870609 2637.88787581412 2781.87289134407 2995.05437718824
Euro area EMU Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) SH.UHC.NOP2.ZS
Euro area EMU Prevalence of wasting, weight for height, female (% of children under 5) SH.STA.WAST.FE.ZS
Euro area EMU Prevalence of overweight, weight for height, male (% of children under 5) SH.STA.OWGH.MA.ZS
Euro area EMU Diabetes prevalence (% of population ages 20 to 79) SH.STA.DIAB.ZS 7.09437820457501 6.75990393448381
Euro area EMU Prevalence of current tobacco use, females (% of female adults) SH.PRV.SMOK.FE 26.9595501871166 26.5597153856913 26.3988807938485 26.1261433461651 26.0110809884906 25.8138290814892
Euro area EMU Immunization, HepB3 (% of one-year-old children) SH.IMM.HEPB 65.8367832573289 67.2810365677228 67.7082915049415 70.2670843189077 72.1267359969405 73.1434348568729 76.908129996211 77.9239518727558 79.1614125046424 79.8874890805676 81.5433038977269 82.5519135734619 85.1379940464557 85.1482605507757 85.8371256338413 88.2830496133289 90.7615737560958 91.5927313775553 91.742978606378 91.641012883388 91.9302647886287 91.8635429288558
Euro area EMU People using at least basic drinking water services (% of population) SH.H2O.BASW.ZS 99.7178501564981 99.7302277327961 99.7417076310647 99.7464285674328 99.7512179389534 99.7561071799465 99.7604995419358 99.7642508503563 99.7678136403118 99.7759886807801 99.7857332829941 99.794598301321 99.8018355325041 99.8007559285352 99.7992593591527 99.804434161575 99.809636758139 99.8145099310517
Euro area EMU Probability of dying among children ages 5-9 years (per 1,000) SH.DYN.0509 1.0853426489137 1.05146608746797 0.997022795967204 0.962132009791376 0.931670361975461 0.872385764852837 0.844843660114784 0.803613930202274 0.75574539283321 0.744525899202887 0.680396169178293 0.67112357668492 0.636006660485168 0.608968530751722 0.563521525266645 0.556229487842719 0.548563337491378 0.529981938386121 0.501274280884633 0.449707058690157 0.446466084865303 0.442973949793044 0.425296848602262 0.423841319474216 0.415661600106987 0.413303349504072 0.406608893063687 0.403571154883909 0.357402310831738 0.357683215649463
Euro area EMU Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age) SH.ALC.PCAP.MA.LI 19.8003457262457 19.0953449717245 17.1595306282921 17.6862478806784 17.8076619288073
Euro area EMU Government expenditure on education, total (% of GDP) SE.XPD.TOTL.GD.ZS 3.72828006744384 4.24204015731812 4.73089003562927 4.35802984237671 4.34511995315552 4.79690980911255 5.10058498382569 5.08437991142273 4.85397505760193 4.82105493545532 4.85229015350342 4.62343978881836 4.56874513626098 4.55449986457825 4.77694988250732 5.07238006591797 5.10943984985352 4.89648008346558 4.68911504745484 4.79600501060485 4.54056978225708 4.51084995269775 4.58512020111084 5.22460985183716 5.25871992111206 5.07451009750366 4.96186494827271 4.97356986999512 4.82054996490479 4.68449020385742 5.10951995849609 5.56314992904663 5.47338008880615 5.1270899772644 4.95658016204834 5.33460998535156 5.27489995956421 4.90953016281128 4.82100009918213 4.93924999237061
Euro area EMU Pupil-teacher ratio, tertiary SE.TER.ENRL.TC.ZS
Euro area EMU Secondary education, teachers (% female) SE.SEC.TCHR.FE.ZS 48.99035 49.62556 50.22021 50.98632 51.67887 51.67478 52.04557 52.31119 52.53421 52.8488 53.33271 53.73278 53.7714 53.91621 54.38834 54.95852 55.07749 55.08493 55.60493 55.45517 56.43823 56.80242 57.07587 57.3092 57.18649 58.51325 58.43339 59.00417 59.65065 59.833 60.23664 60.70243 60.73797 61.55044 61.47735 61.81399 62.09935 62.53814 62.97966 63.16359 63.14766 63.58124 63.42793 63.4194
Euro area EMU School enrollment, secondary, male (% net) SE.SEC.NENR.MA 73.5037 74.45136 74.66047 74.93188 75.40982 75.2583 75.5513 76.00301 76.34863 76.91678 78.07873 78.72408 78.90815 79.18489 79.29505 80.41374 81.97614 84.67176 87.76758 87.9679 88.13118 87.91018 85.77184 85.34951 86.19667 86.22596 87.23515 87.57485 88.46528 89.75332 90.4529 89.97486 90.57837 90.51895 90.79728 90.2992 90.13646 89.58374 89.39284 89.5662 89.90253 90.20529 90.22215
Euro area EMU Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.UP.ZS
Euro area EMU Children out of school, female (% of female primary school age) SE.PRM.UNER.FE.ZS 4.22068977355957 4.21002006530762 4.07052993774414 4.21824979782104 3.90454006195068 3.84325003623962 3.64532995223999 3.74984002113342 3.11739993095398 2.78489995002747 2.71424007415771 2.83026003837585 3.18096995353699 3.7155499458313 3.88384008407593 3.85256004333496 3.13917994499207 2.82382988929749 2.68636989593506 2.58533000946045 2.78723001480103 2.91628003120422 3.38248991966248 3.27572989463806 3.57712006568909 3.01468992233276 2.15919995307922 1.92009997367859 0.680750012397766 1.11767995357513 1.16699004173279 1.20583999156952 2.05604004859924 2.13625001907349 2.13747000694275 1.2972400188446 1.23540997505188 1.01074004173279 1.20111000537872 1.23681998252869 1.23611998558044 0.986710011959076 0.96713000535965 1.05968999862671 1.40366005897522 1.13362002372742 0.898129999637604 1.05806005001068 1.22239995002747 1.21653997898102
Euro area EMU Persistence to last grade of primary, female (% of cohort) SE.PRM.PRSL.FE.ZS 92.79154 92.76145 93.06033 93.25193 93.27327 93.48417 93.94665 94.50321 94.38178 94.10915 94.54911 94.68129 94.47151 94.92005 95.77607 95.88124 95.42851 94.75517 95.38873 95.72985 95.89103 95.97478 95.89082 96.07381 96.11747 96.41047 96.45981 96.42746 96.50752 96.52238 96.75051 96.80058 96.95506 97.2608 97.4424 97.27512 97.17793 96.75503 96.85457 96.2318 96.43187 96.37342 96.14144 96.24428 96.49589 96.8156 97.08683 97.06572 97.05403
Euro area EMU Gross intake ratio in first grade of primary education, female (% of relevant age group) SE.PRM.GINT.FE.ZS 107.51 107.5144 102.6239 100.8074 100.7372 100.3879 101.4527 100.3111 101.2409 100.5541 99.70692 99.48509 98.68593 98.08516 98.35422 99.37776 99.58013 100.7441 100.3344 99.89164 98.23508 98.13285 98.27201 98.71046 99.57041 100.8517 100.757 101.1776 100.8175 100.2457 99.85087 98.23479 97.15775 98.95697 101.5807 99.84675 100.7734 101.059 99.22314 99.40116 99.66012 99.57051 99.24276 98.66885 97.8872 98.80407 97.93668 97.88159 97.93246
Euro area EMU Trained teachers in preprimary education, male (% of male teachers) SE.PRE.TCAQ.MA.ZS
Euro area EMU Literacy rate, youth male (% of males ages 15-24) SE.ADT.1524.LT.MA.ZS
Euro area EMU Coverage of social safety net programs in poorest quintile (% of population) per_sa_allsa.cov_q1_tot
Euro area EMU Price level ratio of PPP conversion factor (GDP) to market exchange rate PA.NUS.PPPC.RF
Euro area EMU Gross savings (current LCU) NY.GNS.ICTR.CN
Euro area EMU GNI (current US$) NY.GNP.MKTP.CD 246922911412.286 271037514417.72 301429577329.223 338169747417.932 376149047556.325 411979115670.485 449186663508.433 488045614469.566 523753369890.195 584492271079.674 649582322604.744 736144639481.113 889777428618.471 1154508929360.28 1305649323697.6 1516804963734.67 1582002366485.67 1797568337455.4 2202768954951.84 2666588574603.74 2991661960567.12 2588188447041.51 2496941432891.85 2440099957421.75 2341343519570.14 2408580231418.19 3392906988169.55 4208039333227.56 4628042944264.33 4721664133981.01 5930534062241.69 6144589703325.74 6775519025707.18 6206188419204.67 6535467669918.88 7546488778912.31 7640249419926.74 6975492233284.99 7158511285900.14 7140143063244.59 6499024826407.81 6589082426796.65 7137597870049.28 8812248199492.35 10149787179460.7 10528629953900.4 11216817431596.4 12868892838294.7 14048048064310.8 12927329870837.6 12677373322982.9 13692654779929.9 12724186506413.7 13287776626130.4 13566180144889 11693917407324.9 12013040020870.7 12716200774990 13752827675031.1 13424679790462.1
Euro area EMU GDP, PPP (constant 2017 international $) NY.GDP.MKTP.PP.KD 10206529013274.7 10478089761122.3 10622663262491.1 10550751271144.2 10808959462406.1 11073579017128.5 11263989523009.4 11572017764691.9 11923931070568 12274038514226 12748798885990.1 13034435656962.8 13164238374257.1 13264683829955.3 13571737330630.7 13805645023557.2 14257266760713.9 14690004624971.3 14751017895862.9 14076423962631.8 14371128933278.3 14604070982706.3 14464880102785.9 14423790884316.7 14625191048937.5 14926182073898.9 15212706679132.3 15606379195392.6 15902327498499 16109474470256.9
Euro area EMU GDP deflator: linked series (base year varies by country) NY.GDP.DEFL.ZS.AD
Euro area EMU Adjusted savings: net national savings (% of GNI) NY.ADJ.NNAT.GN.ZS 9.41780792054868 9.74432800530276 9.34611289590591 9.83381085301324 9.60787481072269 7.9479863448582 5.71869388822277 5.14145375304268 5.34344259088185 5.88853592060481 6.0317379705379 7.18585657353716 6.75755640742503 7.88945281247432 8.31422817505055 8.53785428907093 7.61342316078213 6.84965767409447 6.03096785431259 6.34002578868454 7.38872055430341 7.10402271744866 7.66983902705452 8.05195423156923 7.82344930029408 7.54716921331538 7.37108035522938 7.07264790428625 6.45949613145125 7.28029400632363 7.01407847649839 7.76559227416014 8.39128448301902 6.70536322783929 3.57523387166745 4.13112069826986 4.98534229534889 4.44208146999155 4.56993597053472 5.25135783019901 6.11468902453148 6.6768145276905 7.2774865550395 7.38125750775595
Euro area EMU Adjusted savings: education expenditure (% of GNI) NY.ADJ.AEDU.GN.ZS 3.55485316999303 3.48745132818937 3.54866252538976 3.52748962598144 3.82304927193249 3.99539816443518 3.99163053314134 4.03674786115463 4.0379900566219 4.03807829584536 4.06717561570952 4.21344754283537 4.27522751278063 4.29095006416984 4.3067827456117 4.32189374273053 4.26441502064715 4.31641133959687 4.24846548041675 4.06888325235832 3.94218720878824 4.00127738210756 4.27566805582575 4.57385553631052 4.60560150590614 4.55650693829908 4.58851125405352 4.6918355243357 4.42476684893408 4.39594864602634 4.34332263541933 4.45539409261718 4.42671006966506 4.51285646140976 4.46686778997143 4.41389917401217 4.40395050569062 4.35998447309317 4.4993058109132 4.80386165672444 4.76855259355479 4.66360232673537 4.73145140728858 4.61925591993796 4.60696345898975 4.54324939004886 4.50111769158141 4.50217435658121 4.5036294032352
Euro area EMU Industry (including construction), value added (constant LCU) NV.IND.TOTL.KN
Euro area EMU Agriculture, forestry, and fishing, value added (annual % growth) NV.AGR.TOTL.KD.ZG 3.76303181485871 -3.89620012193932 -5.55018827395199 2.52624678545341 4.89171681973346 2.42495216254977 1.02391125170986 3.73138676040905 0.620324807963527 -2.68435644934996 0.712276280410947 -4.15450646628958 11.7445132705992 -8.05187041547151 -0.520242557046302 4.73513284842841 4.30456922864764 0.069032883560908 -1.70958163322828 2.23181654759725 -3.59224986615192 2.2836323462103 5.38697325562848 0.411397346212311 -2.0473098967523 0.443388693765527 0.539861141400237 0.192183078676194
Euro area EMU Gross capital formation (% of GDP) NE.GDI.TOTL.ZS 29.5315591200539 28.34454759775 27.9200686946222 28.7196047238653 28.9821748448605 25.5164202794722 26.550546801482 25.7634967119019 25.0751922406699 25.8524353507063 26.563765360166 24.2487643458347 23.6452030429976 22.7598869753572 22.6168315201089 22.3908608515384 22.4044292894706 22.5298187596888 23.7076845982861 24.4951137701769 24.7729572826731 24.4175771278198 23.357905873314 21.4173929862588 21.7511305956363 22.1709774905092 21.6923163527066 21.9003119220901 22.68719449609 23.0560520253837 23.6959943177627 23.1106012269655 22.155183271495 22.084769289786 22.247061061984 22.4478353022572 23.3329084774927 24.0412706642063 23.5806982885635 20.4000346463609 20.9912231882809 21.5419296900304 19.9615698763816 19.5227811521448 19.8406049559455 20.1884059959243 20.4048043832081 21.0256412577243 21.5194439595191 21.7630494384673
Euro area EMU Gross fixed capital formation, private sector (current LCU) NE.GDI.FPRV.CN
Euro area EMU Final consumption expenditure (constant 2010 US$) NE.CON.TOTL.KD 3807242507859.72 4004604883890.75 4207209949073.85 4427027363063.05 4556286194142.51 4687737925133.65 4899963469416.25 5061556830179.89 5236788285807.19 5434734818174.99 5575366876490.32 5647586182954.43 5707620963410.13 5773989390580.34 5850566505818.63 5980658548153.66 6170748102547.53 6382043818395.82 6588577028133.85 6784214903790.81 6992984477671.18 7190034106386.05 7350853984594.19 7333871033825.24 7441398542497.06 7556039259448.67 7708228273456.94 7845949801921.25 8075884798585.55 8315530994719.97 8550704197121.37 8722906937515.04 8822237570256.23 8943687531749.46 9091184716806.87 9262292367402.14 9453402469466.26 9636351389404.33 9721202317838.24 9704683196737.38 9787458639186.55 9790898918077.76 9707721024911.15 9668475837376.8 9751921569930.66 9918725263116.22 10115648384325.3 10277028295467.3 10419642767570.9 10571034126285.7
Euro area EMU Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) LP.LPI.INFR.XQ 3.42055555555556 3.44315789473684 3.47210526315789 3.56288105263158 3.63995926315789 3.50684210526316
Euro area EMU Railways, passengers carried (million passenger-km) IS.RRS.PASG.KM 4535.5 4136 3969.5 3989.5 3897.5 3619.5 3590.5 3622 3461.5 3492.5 3615.5 3708 3882.5 4132.5 4014 4035 4012.5 3803 3851 3863 4035 4007 4331 4510.5
Euro area EMU CPIA property rights and rule-based governance rating (1=low to 6=high) IQ.CPA.PROP.XQ
Euro area EMU Trademark applications, direct resident IP.TMK.RESD 99124 86936 88509 81244 90560 115311 124511 155245 170948 184833 179344 192139 187843 206995 247088 273122 310513 250762 230528 216961 227817 247623 249567 267566 255696 272267 290670 286453 269674 274254 284898 257561 292390 297685 303027 305556
Euro area EMU Procedures to build a warehouse (number) IC.WRH.PROC 13.1875 13.1176470588235 13.1176470588235 13 12.7777777777778 12.7777777777778 12.7894736842105 12.8947368421053 12.6842105263158 12.7894736842105 12.7368421052632 12.7368421052632 12.7368421052632 12.6315789473684 12.6315789473684
Euro area EMU Cost of business start-up procedures (% of GNI per capita) IC.REG.COST.PC.ZS 11.2 10.81875 9.09375 7.61764705882353 6.95294117647059 6.52777777777778 5.8 5.97222222222222 5.50526315789474 5.23684210526316 4.84210526315789 4.6 4.25263157894737 4.05263157894737 3.76842105263158 3.6421052631579 3.21052631578947
Euro area EMU Value lost due to electrical outages (% of sales for affected firms) IC.FRM.OUTG.ZS 0.68
Euro area EMU Cost to export, border compliance (US$) IC.EXP.CSBC.CD 107.394736842105 107.394736842105 107.394736842105 107.394736842105 107.394736842105 107.394736842105
Euro area EMU Human capital index (HCI), upper bound (scale 0-1) HD.HCI.OVRL.UB
Euro area EMU Interest payments (current LCU) GC.XPN.INTP.CN
Euro area EMU Taxes on goods and services (% value added of industry and services) GC.TAX.GSRV.VA.ZS
Euro area EMU Net incurrence of liabilities, total (current LCU) GC.LBL.TOTL.CN
Euro area EMU Domestic credit provided by financial sector (% of GDP) FS.AST.DOMS.GD.ZS
Euro area EMU Monetary Sector credit to private sector (% GDP) FM.AST.PRVT.GD.ZS 88.2220473496275 88.3561916248187 89.2965900843287 90.2842740177524 95.1184571841723 98.8080202889513 101.792954860848 103.652320062179 106.30475209238 103.520158986518 101.649027293004 99.708957752143 96.698457538251 92.6346079094767 89.9393967967388 88.8823985794627 87.9164626401282 86.690834725465 86.3235039935019
Euro area EMU Bank nonperforming loans to total gross loans (%) FB.AST.NPER.ZS
Euro area EMU Pump price for gasoline (US$ per liter) EP.PMP.SGAS.CD 0.925 0.84 0.75 0.84 1.21 1.34 1.5 1.7 1.92 1.79 1.36
Euro area EMU CO2 emissions from manufacturing industries and construction (% of total fuel combustion) EN.CO2.MANF.ZS 34.9164336129977 34.015666806357 32.3776924111747 31.4021754288105 32.1829035467477 33.0747633986239 32.3106869928823 31.7965985182168 31.2304042535436 31.5461319065201 30.1899353108888 29.0051402633335 28.0360798741952 27.7804569893545 28.3336785292218 26.4058523086384 25.3160532392228 25.393434249252 24.4439400817068 24.254923931926 23.0123634006297 22.4463363460297 21.400989829771 21.5842715652248 21.5602306347499 21.4374064461486 20.1147200472866 20.0679977389101 20.1822524555404 20.1066124834556 18.6884319794744 17.5277607917522 17.0387113869774 16.556191068877 16.9263078450192 16.6127526715592 15.9955683545945 16.3725345981211 15.8708409509977 15.7152716158927 15.9131320252223 15.5091337632027 15.1050979609691 15.2531804847633 14.6129243430281 14.1706107730449 13.7899736786373 14.0162738926844 13.8863703865814 12.6292030544657 13.2707505423705 13.4812915837849 13.258358662614 13.3928571428571 13.5746077459653
Euro area EMU Nitrous oxide emissions in energy sector (% of total) EN.ATM.NOXE.EG.ZS 5.53696873607089 5.43082539597239 5.4828823755691 5.4123186638343 5.16028796759128 5.25302460706272 5.44998682800927 5.48489337312582 5.63921974286733 5.69175429905811 5.97651534712049 5.95493637097262 6.18550965739312 6.16002785446653 6.08110651709754 6.15671607437786 6.25483832994784 6.3139964916918 6.59268066865951 6.96201051926729 7.21569056306506 7.46547403126337 7.49282657817947 7.67109580642106 7.46523774901297 7.68460329539638 7.61373833876311 7.50191193416324 8.27318073264836 8.70614545889985 9.08165387930256 9.72219962352437 9.78153910204444 10.2094126355881 10.4009287897907 10.1152145940066 10.6506119710123 10.8354732745578 10.9648285018844
Euro area EMU CO2 emissions from solid fuel consumption (kt) EN.ATM.CO2E.SF.KT 871005.118232729 805340.352694588 746905.952311389 746740.862656866 734036.296576566 721634.121697267 702520.829109615 692481.672165898 667233.339223753 693956.723734383 690547.960283831 697637.014090578 709220.938970443 715047.759594208 686291.592573775 693931.038756823 702990.497270725 642726.201348358 563675.17898161 598841.582544686 609299.037694391 632071.839211638 613229.052264963 589230.643962868 600970.046015839 564530.622924486
Euro area EMU Alternative and nuclear energy (% of total energy use) EG.USE.COMM.CL.ZS 3.81328853071987 3.62776419627131 3.29224994628614 3.42918266157699 3.12987789058674 3.48501307421893 3.77937532885587 3.49466875283825 3.35981996242519 3.33896167408199 2.98290325792824 2.91474610823009 3.17268450323506 3.02756919195192 3.42509673016219 4.19638183341044 3.82197525970442 5.04965000019639 5.24591607126394 5.61147752326504 6.30573830454373 8.32897446390481 9.25626262259573 10.5613095842848 12.7807969588267 14.5197385173375 15.3857002881815 15.7049689769977 16.5798659390298 16.6724476110947 16.2656460446883 16.4183702539525 17.1716764570326 17.8559372041945 17.6577524756293 17.5262181146378 17.8313094359808 18.0253728894606 17.5655179452621 17.9694292364258 18.3914500920035 18.3576107416707 18.4103745738192 18.2627420583939 18.3243795282976 17.9856453336908 18.1868792116522 17.8540196007396 18.2780170761108 18.4614825111398 18.7432823855779 19.1590485547527 19.1497430355641 19.7655022320042 20.8849997792029 20.4847525275899
Euro area EMU Access to electricity, urban (% of urban population) EG.ELC.ACCS.UR.ZS 99.8986892700195 99.9480056762695 99.9824676513672 99.997200012207 100 100 100 100 99.9996032714844 99.9938659667969 99.9709625244141 99.9254608154297 99.8642807006836 99.811767578125 99.7770462036133 99.7654571533203 99.7746963500977 99.8005142211914 99.8386764526367 99.8849487304688 99.9330368041992 99.9709091186523 99.9921569824219 99.9990539550781 100 100 100 100 100
Euro area EMU Net ODA received (% of imports of goods, services and primary income) DT.ODA.ODAT.MP.ZS
Euro area EMU Net official flows from UN agencies, UNEP (current US$) DT.NFL.UNEP.CD
Euro area EMU IFC, private nonguaranteed (NFL, current US$) DT.NFL.NIFC.CD -997174
Euro area EMU Present value of external debt (current US$) DT.DOD.PVLX.CD
Euro area EMU Net ODA provided, total (current US$) DC.ODA.TOTL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Italy (current US$) DC.DAC.ITAL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Austria (current US$) DC.DAC.AUTL.CD
Euro area EMU Travel services (% of service exports, BoP) BX.GSR.TRVL.ZS 27.4678275467714 25.1883556729559 27.2814855531273 28.1300376175546 28.4206642387905 27.7535665206209 26.0764672225266 27.2091571325389 28.3933759797538 29.6003168144152 29.9130353512109 31.0366431880207 31.9441072842104 32.8169383432974 32.2267728230843 31.6016771556079 32.9709047496201 33.9075780093712 33.515815731428 34.7885587311155 35.0705301137088 35.2515283804139 34.7541018390522 34.7099506338062 35.4215365336844 34.2748653728847 32.8323356350532 30.7078512449379 30.5736900170509 28.8074398373124 26.8155999780425 26.1394655345497 24.8711823339411 23.8477609982003 23.5150171150831 22.1083893180035 22.4067068227811 21.6328469131166 21.7205443122227 20.8163662648178 19.654148272988 19.5810540000835 19.5946994088565 19.3243610480646 18.9849575516601
Euro area EMU Reserves and related items (BoP, current US$) BN.RES.INCL.CD -11573781930.5416 -16150289193.2086 -16455453365.9358 2977718163.33733 -32818067718.1682 -15552923673.158 -22901080520.9361 2565643749.00851 5694033592.79018 12506340129.2082 61477415869.9047 -3474913372.35384 -21566935552.4163 -3947524751.49209 -7823317003.57176 17728188834.1525 42018911199.9291 25388298712.6007 16986002158.2758 38278386422.7025 12184698302.2142
Euro area EMU Imports of goods, services and primary income (BoP, current US$) BM.GSR.TOTL.CD 368357570420.368 415028000188.757 467938696560.759 550620939671.624 724895169007.264 889100386100.194 835998129051.964 795847193032.013 742923098075.781 744849903636.749 773508474222.813 927316629408.921 1143423377791.51 1286769614589.58 1409323391304.77 1794112922628.75 1902796176444.62 2074966161967.24 1842883250702.51 1925944722134.44 2335587625162.4 2366458583400.94 2339916803623.21 2501031279916.79 2584906761840.32 2701760884405.28 2683690492065.28 2815013262119.42 3391115982567 4166049584522.97 4651112858098.87 5386350729610.39 6568804190906.31 7234549022363.49 5578876611000.9 6047956165961.68 6997571363304.27 6517465029892.55 6737384690568.17 6941184284265.15 6134492495062.53 6188949806279.43 6772432160694.86 7518131398663.48 7412092372001.35
Euro area EMU Urban land area (sq. km) AG.LND.TOTL.UR.K2 390687.3583709 390687.3583709 390687.3583709
Euro area EMU Arable land (hectares) AG.LND.ARBL.HA
Euro area EMU Lead time to export, median case (days) LP.EXP.DURS.MD 2.44705882352941 2.23214285714286 1.78571428571429 1.75 2.0625 2
Euro area EMU Air transport, freight (million ton-km) IS.AIR.GOOD.MT.K1 2043.6000158788 2242.1000465156 2607.8999850751 3171.7999689579 3627.9999970198 3602.6000248192 4219.80004406 4937.2000036241 5371.7000672816 5909.599978447 6085.200067997 6351.9998884202 6635.6000835896 7520.8999240398 8528.0000152589 8943.2000412942 9793.3998622895 10795.60009861 11804.6001191141 12764.9000549316 13342.6001901627 13067.6002326011 13409.5998798162 14222.3999934793 16226.699782163 17768.899979122 18483.9997799546 21413.699996069 20890.9998098166 22222.1001853796 25164.862 24043.929 24508.79 25032.953 27564.471 28024.167 29269.73 30571.642 30003.59 33975.319 28324.3551038807 28745.8567331595 27061.648691028 27503.6257702242 27910.0700910256 27729.323327157 28003.2285849418 31278.9653535479 31430.9904896518 31151.4629956713
Euro area EMU CPIA macroeconomic management rating (1=low to 6=high) IQ.CPA.MACR.XQ
Euro area EMU Patent applications, residents IP.PAT.RESD 56158 50907 51540 52916 53993 57119 54751 55031 56498 53887 53313 54622 63388 65463 67311 60518 72923 68601 70888 81086 84990 74221 72079 72280 73805 73934 73834 83487 85116 83981 83908 83298 81814 82188 82893 73252 82958 81474 79781 79395
Euro area EMU Profit tax (% of commercial profits) IC.TAX.PRFT.CP.ZS 16.03125 14.5176470588235 14.4470588235294 13.2722222222222 12.5666666666667 13.0611111111111 12.4105263157895 12.2578947368421 13.3263157894737 13.7842105263158 12.9210526315789 13.0157894736842 13.2789473684211 12.9315789473684 12.8631578947368
Euro area EMU Procedures to register property (number) IC.PRP.PROC 5.8125 5.6875 5.64705882352941 5.64705882352941 5.66666666666667 5.55555555555556 5.38888888888889 5.42105263157895 5.42105263157895 5.36842105263158 5.31578947368421 5.26315789473684 5.26315789473684 5.26315789473684 5.31578947368421 5.31578947368421
Euro area EMU Firms formally registered when operations started (% of firms) IC.FRM.FREG.ZS 96.7
Euro area EMU Power outages in firms in a typical month (number) IC.ELC.OUTG 0.3
Euro area EMU Human capital index (HCI), female, lower bound (scale 0-1) HD.HCI.OVRL.LB.FE
Euro area EMU Compensation of employees (% of expense) GC.XPN.COMP.ZS 18.720224084111 17.771013814095 15.6061620897521 14.9085037674919 15.6925096637736 15.3050433611181 15.1644141292444 17.0583650108914 19.8169793909567 19.3758551045671 19.0330759479082 18.8218617105056 18.4224611941025 15.2793213335781 15.2130858728843 15.1723213015952 15.3858224415804 13.6312951888778 10.1906038066069 12.2657828237135 12.1172052907446 12.5247795589996 16.8847793565093 16.9718411516758 16.2011255277971 16.6174567192738 16.6838010814185 15.6436681532825 16.513592842602 18.0139139882285 15.4844118706015 16.9356894583568 18.3304703453679 17.7384988353705 17.7076487661322 17.5421198715564 16.2301682445907 14.2667279002136 14.7425464305304 15.3821281072324 15.1174865525493 16.1894283704812 16.4246795943121 17.1238904026225 16.5501111276026 16.3742188020454 16.6043690503993
Euro area EMU Taxes on exports (% of tax revenue) GC.TAX.EXPT.ZS
Euro area EMU Net acquisition of financial assets (% of GDP) GC.AST.TOTL.GD.ZS 0.863982842741847
Euro area EMU Risk premium on lending (lending rate minus treasury bill rate, %) FR.INR.RISK
Euro area EMU Claims on other sectors of the domestic economy (annual growth as % of broad money) FM.AST.DOMO.ZG.M3
Euro area EMU Terrestrial protected areas (% of total land area) ER.LND.PTLD.ZS 25.7934901577278 25.8034395155863 25.8034395155863
Euro area EMU Population in urban agglomerations of more than 1 million EN.URB.MCTY
Euro area EMU Droughts, floods, extreme temperatures (% of population, average 1990-2009) EN.CLC.MDAT.ZS
Euro area EMU Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.AG.KT.CE 0 115717.612283855 117838.662893937 121171.067673748 124220.087149725 124705.973506303 127065.833345567 129040.131431187 131123.115471919 137036.716304809 140047.541448532 141144.561815247 138845.089408807 141381.788607796 142135.594606691 146042.482513062 147568.291139689 150070.515831615 149459.214385642 150250.96540546 148033.157295794 143487.541555002 140060.630864538 131394.691051062 129186.551116492 129876.8129038 129747.930144857 132556.54231896 132850.277137249 134198.495261627 134400.877005818 130118.81295083 129023.03258241 127953.34533838 126386.592885556 126108.06042272 124467.073669112 122822.586442562 121840.911387378 120784.550551378
Euro area EMU CO2 emissions (metric tons per capita) EN.ATM.CO2E.PC 8.48266869750998 8.22917219367083 8.0316538517043 7.96873860450437 8.096890490266 8.28195629214396 8.15999622627259 8.29094659155878 8.17931824645197 8.20758425446097 8.37853915291967 8.33518276707625 8.4135225382091 8.44260760884992 8.35385362026547 8.31775457144476 8.1324471979023 7.9027466554643 7.28388964199135 7.42665957153204 7.15637534680699 6.99436984014187 6.84664727255948 6.47625478568181 6.59038005823001 6.54514043992154
Euro area EMU GDP per unit of energy use (PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP 5.02141095865274 5.22296613601145 5.41807399584512 5.50567262984589 5.76400516157705 5.78873817752434 5.7900247418365 6.05489912362785 6.25085462863507 6.51198867876355 6.84990672361054 7.00960282302205 7.31335669786294 7.31138592804311 7.5309518755185 7.8171025044346 8.46175225740037 9.1496638306035 9.57180314975042 9.91381373839786 9.87082626280073 10.7383625473305 10.9718023822998 11.4492497128881 12.2316444222141 12.407328150704
Euro area EMU Access to clean fuels and technologies for cooking (% of population) EG.CFT.ACCS.ZS 99.2366245060223 99.2974879556949 99.3511785336028 99.4031743491107 99.4486191799895 99.4845398763643 99.5204140602115 99.5501910720693 99.5792370261616 99.6029864113851 99.6238746848114 99.6364784089881 99.652632463475 99.6647315224497 99.6765872001809 99.6843919451971 99.686862761277
Euro area EMU Net ODA received (% of gross capital formation) DT.ODA.ODAT.GI.ZS
Euro area EMU Net official flows from UN agencies, UNHCR (current US$) DT.NFL.UNCR.CD
Euro area EMU Net financial flows, IDA (NFL, current US$) DT.NFL.MIDA.CD
Euro area EMU PPG, IBRD (DOD, current US$) DT.DOD.MIBR.CD
Euro area EMU Net bilateral aid flows from DAC donors, United States (current US$) DC.DAC.USAL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Hungary (current US$) DC.DAC.HUNL.CD
Euro area EMU Stocks traded, total value (% of GDP) CM.MKT.TRAD.GD.ZS 1.78509614197702 1.67468297375771 1.70521620109547 2.11606856596638 1.40119975093801 1.37982903432647 1.59507451329832 1.33400685623311 2.32039679934127 2.35376372286487 6.20627801761232 9.28149478507746 16.0616545551904 11.6239300691952 13.9778111451112 15.3117883439763 11.7572605610257 10.3411904201399 14.5150911342132 17.3965176553798 15.1028910897139 11.400088028764 31.1518468793438 50.8336359119424 62.7549704343653 101.493639713909 78.2112796246469 51.7383731939067 48.3154477012563 51.9778351142717 52.9810751538207 73.1245886129343 102.580242174956 81.3259937017193 50.045061219344 49.559400747244 43.4203362982811 37.0867551476035 37.7516817755168 38.1502662449967
Euro area EMU Charges for the use of intellectual property, receipts (BoP, current US$) BX.GSR.ROYL.CD 64640883.9311163 58839778.9629392 82872928.1168157 101323756.832302 266822261.320273 319879273.722224 374185021.801424 443706963.661641 735486500.045779 760525174.37703 912371479.946527 1149307382.76025 1451726759.16774 1659103708.95075 1545639631.76808 1389689367.19938 1631775973.88911 1412638360.41776 1543692823.37762 2200265559.45592 2940377769.17174 3409300243.73352 3508703552.46824 5564626204.66524 5122453445.65725 5637580422.76481 5819989981.79557 6512116926.31571 7680163935.26659 7905036311.96025 7838357805.16451 8852472107.72283 11139356407.6918 11096104800.8283 11407903648.0562 14308027930.069 16387068076.8753 34996569782.9732 40770471565.7021 41674339998.9324 53412947220.1024 62184166177.2347 58596824368.149 60813938006.5604 70322555576.9838 68802414665.5336 80980058875.5494 97949725136.5912 99164419365.5799 96208179107.2063 109304585991.193 126879991254.56 126117143717.915
Euro area EMU Net errors and omissions (BoP, current US$) BN.KAC.EOMS.CD -1884984690.03445 9254282418.08644 44346884811.7275 -36945845331.5827 -23234535768.2948 6325075763.28501 15768297716.7878 19093565410.8463 -20457974864.6414 -77575002263.2881 72947682388.7963 2613204226.69541 -14475956019.2708 34482596477.6148 127139796549.68 6036890003.47518 -33776925185.5407 -33063535673.433 20911627850.5281 72050044582.6466 -22571019951.2446
Euro area EMU Goods imports (BoP, current US$) BM.GSR.MRCH.CD 268731019846.602 306256725314.17 341780364012.512 396876642423.245 526202584801.366 635566809653.629 577216022580.199 545075404912.672 514328259134.319 517490075209.013 538024593601.714 631418346337.076 782051077831.231 878358756933.426 957261143347.507 1184814827051.82 1229389611387.15 1284282795413.51 1076776542266.37 1214998066885.59 1505772845310.9 1519417277963.76 1500790657067.27 1589870753328.46 1626533962306.61 1719572180180.21 1692427138957.51 1742896057052.36 2110559925886.44 2559489298417.06 2814558331059.11 3232842724339.01 3797727091487.38 4266473567891.29 3209795921808.04 3600927414286.56 4253550010374 3948998275778.87 4035502039202.92 4091582835875.02 3494758374905.21 3523720934079.87 3911848721861.64 4358056181854.59 4187702638082.42
Euro area EMU Average precipitation in depth (mm per year) AG.LND.PRCP.MM
Euro area EMU Fertilizer consumption (kilograms per hectare of arable land) AG.CON.FERT.ZS 197.05340712287 203.6949446743 196.467693046851 179.311894765698 174.562256403423 187.467281168332 142.867643831315 129.504811301735 156.83042429442 148.305017201546 155.770559457592 164.033511923971 168.916147334081 170.701020937152 166.647916312448
Euro area EMU Lead time to import, median case (days) LP.IMP.DURS.MD 3.2 2.81692307692308 2.64285714285714 1.66666666666667 2.625 2.4375
Euro area EMU Air transport, passengers carried IS.AIR.PSGR 39643000 43871800 48582800 52394200 54363300 56735600 61089600 66529900 72757200 76943200 78070300 80934800 83756300 85330500 89014400 94216800 94997000 105072500 114465600 124135000 134459400 131411900 144488700 149322600 159931900 171988500 190436600 210002000 219023000 238927500 259579401 257007629 258285964 288282210 315899184 344015957 374599784 407969143 408980682 401882488 414887775.051461 439335562.659968 437876149.516337 441085469.33378 458429865.950749 495116034 527688666 558725887 582704366.268714 634255101.415
Euro area EMU CPIA quality of public administration rating (1=low to 6=high) IQ.CPA.PADM.XQ
Euro area EMU Trademark applications, nonresident, by count IP.TMK.NRCT 79294 98663 91808 76836 86860 95082 108981 100540
Euro area EMU Total tax and contribution rate (% of profit) IC.TAX.TOTL.CP.ZS 51.1125 47.8588235294118 47.4117647058824 44.9555555555555 44.2777777777778 44.2722222222222 43.2526315789474 43.8526315789474 43.9 44.3684210526316 43.6315789473684 43.4684210526316 42.4842105263158 42.578947368421 42.8421052631579
Euro area EMU Cost of business start-up procedures, female (% of GNI per capita) IC.REG.COST.PC.FE.ZS 11.2 10.81875 9.09375 7.61764705882353 6.95294117647059 6.52777777777778 5.8 5.97222222222222 5.50526315789474 5.23684210526316 4.84210526315789 4.6 4.25263157894737 4.05263157894737 3.76842105263158 3.64210526315789 3.21052631578947
Euro area EMU Firms that do not report all sales for tax purposes (% of firms) IC.FRM.INFM.ZS 50.768 32.5788888888889
Euro area EMU Firms experiencing electrical outages (% of firms) IC.ELC.OUTG.ZS 24.03
Euro area EMU Human capital index (HCI), male, lower bound (scale 0-1) HD.HCI.OVRL.LB.MA
Euro area EMU Goods and services expense (current LCU) GC.XPN.GSRV.CN
Euro area EMU Taxes on goods and services (current LCU) GC.TAX.GSRV.CN
Euro area EMU Central government debt, total (current LCU) GC.DOD.TOTL.CN
Euro area EMU Claims on central government, etc. (% GDP) FS.AST.CGOV.GD.ZS 9.80564742861941 8.82689777130798 8.52002506452799 7.87606054064319 7.53202196364065 6.54687787785124 7.08376412831642 6.09264832732677 8.10472529176809 10.6084933136986 10.4487360448954 13.0457713959012 13.4919012784974 14.0455428875242 16.4357087008639 20.3896737459848 21.8631448864425 21.9120359966711 21.419408170859
Euro area EMU Net domestic credit (current LCU) FM.AST.DOMS.CN
Euro area EMU Marine protected areas (% of territorial waters) ER.MRN.PTMR.ZS 19.0183637140202 23.4469839122246 24.3405836662337
Euro area EMU Population in urban agglomerations of more than 1 million (% of total population) EN.URB.MCTY.TL.ZS 16.1872326369951 16.3503690547477 16.4785567140408 16.5825913620319 16.694363614838 16.8070641545539 16.9303961879414 17.0760070008249 17.2298472217598 17.3773477302494 17.5518723505202 17.6916481332635 17.7335752551021 17.7636842060256 17.8076220310787 17.8551703568886 17.9050958320621 17.9650728479524 18.0256470012106 18.0859684145588 18.1446996985476 18.1891071981068 18.1890928257994 18.1972959499836 18.2109911440183 18.2328662004494 18.2652508331088 18.3634119711495 18.3544787874021 18.3894741336399 18.3977481842221 18.3902757163937 18.3841306317457 18.3829852649335 18.3923221840879 18.4020280673169 18.4111844148998 18.4184519792135 18.4267081472096 18.4412105462524 18.4634306821426 18.4783214217018 18.4921166059517 18.502418000481 18.5100980461144 18.5286872005813 18.5656018293845 18.5949683355456 18.6299796945421 18.6951568507382 18.7754588979479 18.9410157549114 19.0238181512252 19.0839528128234 19.1441680819974 19.2146916089922 19.2886269080741 19.3822765930365 19.4785558911951 19.5382384676985
Euro area EMU CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.BLDG.ZS 19.9660407510987 20.1387769575449 21.8188068937684 23.9311114210013 21.7416440345263 21.7442596156381 22.0293882473227 22.2566642055147 22.5289987244138 22.7691304251697 23.7430616451878 22.9605795282273 23.3035634809958 23.1260686400721 21.2364510613758 21.9863001998599 21.3668284191575 21.08937301864 21.577550988464 21.1460221247922 19.9601006359202 19.4992737249839 19.1033798963314 18.9206806061119 20.9588488434642 21.8466324806393 22.2122320874803 21.5752534442423 20.3831509296195 18.7353023317939 18.9626560900114 19.7918573537373 19.0268755470262 19.5093491424664 18.3410036177491 18.3734067207416 19.7848609021227 18.7058454027535 18.3732192282246 18.152814749088 17.3970939568402 18.2913653159232 17.2995311073081 17.7791633644214 17.6126437856542 17.6605814739689 17.5048407103742 15.2966914869118 17.1863031686233 18.0082689954858 18.3023905313796 16.6120790177653 17.3056882327399 18.1672792818265 16.403138032278
Euro area EMU Agricultural nitrous oxide emissions (% of total) EN.ATM.NOXE.AG.ZS 43.298719115133 43.4199154916632 43.4889695330491 42.4669928491007 41.8231977525191 43.8497532381309 44.4667676702813 44.7600914347578 45.2026038816433 45.417238354918 46.8087103893819 46.8903085526784 48.6808714626889 48.3648558923249 48.4543884582748 49.0472689732702 50.3263253426999 50.1369165932553 50.9864974406748 50.467179944673 50.6497583791378 49.625137801471 48.5761010442735 48.9614933052781 47.5169503910958 47.119829647516 47.3788706500595 46.9408202715138 51.8312219560052 55.1724403515852 54.8860730409853 57.6759798352032 57.5616000856583 57.3426415486428 57.5167518112601 57.1034766729884 58.6722831880788 59.0035866184758 60.3778310177401
Euro area EMU CO2 emissions (kg per PPP $ of GDP) EN.ATM.CO2E.PP.GD 0.47304901334765 0.444631254778328 0.428534862541075 0.40749412496734 0.396852411036954 0.393848485846455 0.372448055732158 0.361095732254027 0.34307833220235 0.324086050804819 0.316111549343154 0.302725177036388 0.300966006998726 0.290582318841603 0.277749635778997 0.256002807771988 0.236565760237422 0.221302455292173 0.209222531232179 0.207439656973114 0.191153897413996 0.18501327012404 0.175621980820008 0.162103575427272 0.160601709837315 0.150305821479199
Euro area EMU GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP.KD 9.7028413422858 9.7619912150241 9.89412580403114 9.82323886579548 10.0683475290604 9.90546564865782 9.75298745956297 10.0328781687339 10.1623928578161 10.4682984896855 10.7318255777521 10.6871897303882 10.7878010491975 10.6456097008948 10.7355585124016 10.8935986651137 11.2204049860452 11.7537510878378 11.8282468883916 11.9526932784862 11.7871181291701 12.4885941291287 12.4882650584475 12.5585153296666 13.229543601197 13.2934970738239
Euro area EMU Energy intensity level of primary energy (MJ/$2011 PPP GDP) EG.EGY.PRIM.PP.KD
Euro area EMU Net ODA received (% of GNI) DT.ODA.ODAT.GN.ZS
Euro area EMU Net official flows from UN agencies, UNDP (current US$) DT.NFL.UNDP.CD
Euro area EMU Net financial flows, multilateral (NFL, current US$) DT.NFL.MLAT.CD
Euro area EMU PPG, IDA (DOD, current US$) DT.DOD.MIDA.CD
Euro area EMU Net ODA provided, to the least developed countries (current US$) DC.ODA.TLDC.CD
Euro area EMU Net bilateral aid flows from DAC donors, Ireland (current US$) DC.DAC.IRLL.CD
Euro area EMU Stocks traded, turnover ratio of domestic shares (%) CM.MKT.TRNR 16.6176121256323 19.7064044306045 21.9287720778118 15.403487205626 16.2855118079378 18.8249558703054 19.7861592013915 27.6794002661202 26.909959798583 35.1970163077884 44.4300867278652 106.150146989408 63.797535150833 52.1242414216943 78.6528942293578 58.3831173100587 61.6154752814575 59.3755058769965 65.2830287333298 57.6877863789434 34.4715325511889 73.9807503332982 88.7057079300924 79.4486226188723 120.009199781075 117.780682339465 106.67735406421 86.3709152509556 89.250068359077 89.3067870304318 95.5465304140789 127.807798351816 221.036114567628 86.9735642945665 85.6502244654265 95.9265435652864 67.0610034469381 57.0657039348847 64.6362685622839 60.3121969008338
Euro area EMU Exports of goods, services and primary income (BoP, current US$) BX.GSR.TOTL.CD 377182638732.094 416111876493.094 481799092132.949 591259771846.194 744240833146.4 851112395326.636 813010825450.964 784938022458.59 750723565725.017 769524145048.978 805945167358.551 1009898031327.86 1213009464575.64 1360149203781.45 1472221100123.1 1824624565730.23 1855356277959.57 2032173875199.87 1892198406437.33 1983653925644.32 2423744009397.44 2490106992840.75 2484790002050.83 2604437418359.29 2669419069878.94 2712541564565.94 2741752128852.92 2924292912121.58 3513278697465.94 4383106019198.6 4817808944762.68 5568833634993.45 6766412213475.05 7321856672936.21 5836877541018.38 6298314988463.67 7294819217882.01 6979371323790.76 7303389618077.71 7525799432760.31 6683467400602.74 6771044905348.18 7387094774226.97 8164132814996.78 7974263559779.88
Euro area EMU Foreign direct investment, net (BoP, current US$) BN.KLT.DINV.CD 132371861859.008 -2876943150.26362 98077433651.2873 -21209505796.2451 11417538315.4691 100516333757.999 259423670404.088 214119343007.167 124178453400.755 320045583098.813 109023144316.163 88254683439.2492 135531959549.181 61920467733.6413 39194585930.4707 89658298330.4758 257237771206.597 97811151120.8048 -42474685750.5637 156362623081.228 18557365036.1474
Euro area EMU Service imports (BoP, current US$) BM.GSR.NFSV.CD 67519512084.0055 75616337126.4682 87339611489.0018 105974981997.591 130941210160.974 162439879745.644 153775966535.922 146182070619.454 136578489137.633 132334335027.312 137781416395.51 176360059917.298 217831418729.217 240546738478.157 255246480826.423 332330700650.968 343784375686.063 405496838061.045 381202492524.464 390552803839.242 453990505196.692 462891792526.897 452232769694.148 479468846108.34 516996007744.073 509663842767.999 528596606775.437 558479038025.791 658164839680.176 787843735329.654 848672688932.267 928248575337.114 1097617096258.31 1242737176888.27 1103140526972.83 1133189998345.05 1251978514609.05 1222842237830.99 1320899582957.62 1439044701465.81 1386648806949.37 1425115921119.2 1544953585031.39 1687552692334.04 1772588891871.87
Euro area EMU Land area (sq. km) AG.LND.TOTL.K2 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645872.015625 2645842.015625 2645722.015625 2645662.015625 2645632.015625 2645622.015625 2645632.015625 2645562.015625 2645552.015625 2645552.015625 2645522.015625 2645532.015625 2645532.015625 2645532.015625 2645532.015625 2645532.015625 2645532.015625 2645532.015625 2645532.015625 2645532.01660156 2645522.01660156 2645512.01660156 2645502.01660156 2645492.01660156 2645452.01660156 2645422.01660156 2645382.01660156 2677622.99316406 2677092.99316406 2677572.99316406 2678032.99316406 2677652.99316406 2677512.99316406 2676882.99316406 2676940.99121094 2676402.19116211 2676305.78979492 2677670.18920898 2677455.98510742 2677738.69262695 2679126.18164063 2679095.5859375 2678530.18798828 2678923.57177734 2678923.57177734 2678923.57177734
Euro area EMU Agricultural land (sq. km) AG.LND.AGRI.K2 1353090.99853516 1351851.00097656 1349883.00048828 1343201.00097656 1338846.99951172 1334923.99902344 1333810.99853516 1325944.00146484 1326786.00097656 1312330 1292325.99853516 1287658.00048828 1282035.00061035 1278346.99951172 1274546.0005188 1266762.9989624 1265353.00201416 1265602.00149536 1262008.99902344 1258085 1256969.99847412 1255173.99902344 1245012.99804688 1242298.99902344 1240166.99905396 1237373.9994812 1235633.99993896 1227988.99993896 1228377.00531006 1223673.00689697 1191968.00338745 1264854.00787354 1286347.0072937 1282053.00384521 1265823.9932251 1267498.00827026 1261533.99703979 1261435.99899292 1259428.99459839 1269080.80200195 1253370.20996094 1245379.19128418 1234678.09484482 1228778.10546875 1231114.30493355 1216684.59155083 1205833.19455147 1208290.19993782 1199519.00837898 1198599.00327682 1186786.69294357 1182911.20671272 1178109.48368073 1162943.70113373 1161176.30001068 1152904.08717155
Euro area EMU Intentional homicides, male (per 100,000 male) VC.IHR.PSRC.MA.P5
Euro area EMU Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) TX.VAL.MRCH.R6.ZS 4.3130392396137 4.21767754544066 4.06098893700424 4.33112554159328 4.44437012209834 4.35720817345081 3.94150286299081 4.10767093443349 3.87190715479142 3.65422494452286 3.84363594085068 3.79609265928551 3.31883618034618 3.34043393927979 3.53100323827046 4.02947921163036 3.79766418685207 4.07227150446004 3.74267669122768 3.17361136767679 3.79810028291411 4.12155800042094 3.70475698588411 3.03709393810149 2.82985673181478 2.56099512124222 2.23525293921606 1.99622093508485 1.98839812152969 1.87721343897837 1.6866724082607 1.65199239558935 1.65057890657108 1.50441381434251 1.28927829912524 1.42487650172995 1.37724020870424 1.29746077946578 1.41686678785828 1.25141022434647 1.26453591548143 1.30025063849228 1.25222739626843 1.27197444710196 1.24297444215814 1.30014774651287 1.34154287659016 1.3949306209045 1.4762148685118 1.60932628365219 1.58583959930744 1.69725630798777 1.71218344166533 1.78800551320056 1.77350005473389 1.67867677057292 1.45873340311277 1.45555703993511 1.44840312784413 1.4461755774128
Euro area EMU Agricultural raw materials exports (% of merchandise exports) TX.VAL.AGRI.ZS.UN 4.83724170446203 4.91777031593514 4.67201474545556 4.4135059285331 4.15931796474096 3.82835692586781 3.64752149295873 3.51702730291112 3.20058709258671 3.02122254575654 2.94402251814303 3.15562934583517 2.85402676529035 2.43539845003989 2.6442325527063 2.56676126625741 2.52160699826342 2.54776759818436 2.48799870502846 2.42652499019129 2.21941840836294 2.27498631123157 2.40384840301413 2.33329403481524 2.38852953279649 2.44760049557295 2.52693027208552 2.40006993361751 2.17673477134998 2.06327375094846 2.02554065388562 1.83073878240355 2.04697721611931 2.06123700987312 1.84444627695323 1.73559430788009 1.71110628600611 1.72042317053487 1.57712053645656 1.46209820025191 1.49395304949267 1.5012834257756 1.42216861556345 1.37811299116027 1.35413153090051 1.35749427900722 1.24924296299497 1.33259243085391 1.41730620442627 1.48405814880748 1.43148205626334 1.43568477065838 1.42487426210308 1.42431965624605 1.43673981351058 1.36624135782686 1.34858487385789 1.32267950950378
Euro area EMU Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) TM.VAL.MRCH.R3.ZS 5.30261756156485 4.9396107553349 5.31263261884852 5.14307351932429 5.00225514110649 4.81406447334314 4.63342195666647 4.46596140162721 3.88472383227955 3.75298811016381 3.60951883153184 3.20000915656042 3.1860012827149 3.32751558240497 2.98671940104104 2.90355801030113 2.73271435258504 3.25587494718766 2.88892596889169 2.82935945067913 2.99155346418037 3.3722725119963 3.37880947810891 3.67418005080391 3.6859308412632 3.66385890026231 2.64739806250695 2.31131591793518 2.40517395386714 2.37157459514863 2.18762808065947 2.15413143224262 1.94815438913903 2.00365805110004 2.12916717936373 2.01677723570452 1.88391942281638 1.94421386734928 1.88520961588332 1.77122429111372 1.75546063208514 1.78120078794276 1.74541386279566 1.71435285644388 1.73994334878663 1.86269297070608 1.93948738762324 2.09715618049222 2.23395147094718 2.06458206342298 2.14341726310459 2.34479410482813 2.38153179866521 2.16098802659467 2.09677192735257 1.99941865651593 1.97977583565606 1.99419807765664 1.91267366139521 1.84559058090767
Euro area EMU Tariff rate, applied, weighted mean, primary products (%) TM.TAX.TCOM.WM.AR.ZS
Euro area EMU Tariff rate, applied, weighted mean, manufactured products (%) TM.TAX.MANF.WM.AR.ZS
Euro area EMU International tourism, receipts (current US$) ST.INT.RCPT.CD
Euro area EMU Population, male (% of total population) SP.POP.TOTL.MA.ZS 47.9569294298737 47.9983293322372 48.0440825777177 48.0918427089212 48.1384686420664 48.1806966700529 48.2176670408859 48.2510106388651 48.2804622341895 48.3069194563575 48.33366080426 48.3600416641944 48.384431991913 48.4069373076996 48.4263730138917 48.4424073783939 48.4543847440166 48.4621829582408 48.4672426314525 48.4713508046832 48.4755891789585 48.480488842064 48.4863524963009 48.4939744145037 48.5041429259107 48.516966682165 48.5327969229807 48.5514562445751 48.5709590602771 48.5889270098847 48.6043515747618 48.6168522874798 48.6267164808717 48.6346676261244 48.6416594782253 48.6484909003852 48.6550113486598 48.6612699854065 48.6685445792913 48.6781374826837 48.6912206909201 48.7089203420434 48.7302060783426 48.7521948615419 48.7713413181687 48.7855615984965 48.7942363641992 48.7983167915285 48.7988681784401 48.7979288829524 48.7977639863296 48.7972943342077 48.7978156514427 48.7997241123305 48.8064717895682 48.8202150477569 48.8409537782503 48.8671998421906 48.896506965396 48.9252588768084
Euro area EMU Population ages 70-74, male (% of male population) SP.POP.7074.MA.5Y 2.49096772530367 2.46533691826143 2.43522133505604 2.41344365978324 2.41445178905516 2.44449295271566 2.47428201064422 2.51946863496758 2.57915741491585 2.65343745975414 2.74127784876464 2.81513739431274 2.89666530421974 2.97962744796065 3.05479079632967 3.11775601091614 3.1526096864289 3.17472509386651 3.19249862867502 3.21363331511626 3.23987318613333 3.25008131209748 3.27549983925753 3.29285038829924 3.26404693654514 3.17224086455501 2.99788948243985 2.762672039312 2.53554257579822 2.40849132108561 2.42507843416517 2.54039902483372 2.76156096269362 3.03144720654408 3.27702079710263 3.46240914235031 3.58365631950901 3.6670384560208 3.72737372485438 3.78222594233116 3.84014228795732 3.86091104095406 3.87853682410938 3.90211288469894 3.94239169586324 4.00346915255355 4.06753072545243 4.15158500135687 4.2375866397947 4.30158013908115 4.33327352900808 4.30449241289121 4.25572570556359 4.20846177044064 4.20012551451581 4.25010308229914 4.31607915244727 4.43181576170132 4.57020343880861 4.6946135737614
Euro area EMU Population ages 45-49, male (% of male population) SP.POP.4549.MA.5Y 6.19963681891432 5.82971905926731 5.35578416303103 4.87814808562533 4.54629692271608 4.44412125075382 4.53743331992495 4.85066291372599 5.28739711232581 5.69888322178702 5.99741703920875 6.18350451708462 6.27471700898092 6.29926298045353 6.30473818303657 6.3191401853925 6.31947198804077 6.30876716658345 6.29689056562906 6.29742555911368 6.31822336416969 6.34677342991941 6.4061374282645 6.47332497883878 6.51214879963801 6.50391339198861 6.43883729818977 6.32917806993986 6.21074904376056 6.13979530239472 6.14723784928015 6.20857008871153 6.34642452914416 6.52446334105472 6.68627523105484 6.798521156227 6.86319830061972 6.88310097143062 6.87921734397447 6.8870902247926 6.92844925498847 6.98294266632868 7.0635817442348 7.16620137286324 7.28311952672794 7.40817450762433 7.51552248302362 7.63326664322457 7.75020176188762 7.84889327812452 7.91721538343667 7.9477564819962 7.95241540357828 7.92809025847313 7.87924746519853 7.80987337686867 7.72095454614513 7.61456278423197 7.50035255154558 7.38951709587183
Euro area EMU Population ages 15-64, female (% of female population) SP.POP.1564.FE.ZS 64.6765077002502 64.3786493133219 64.134597670799 63.9265154975358 63.720796295306 63.5037017478264 63.2336446743093 62.9941178614857 62.7775693243759 62.5811903912575 62.4069052630741 62.3012110997353 62.2316921637247 62.200510557394 62.2121003608164 62.2695727271527 62.3356629646134 62.4287948462392 62.5803989629676 62.830317075988 63.1910420506818 63.5977394567822 64.111650876209 64.6595363355093 65.136747784477 65.4821016122066 65.6461826429223 65.7057635728967 65.6901841384257 65.653691956157 65.6296344364196 65.5935290146564 65.5693641631154 65.5532519133432 65.5405020563603 65.5287599918506 65.5035808213997 65.4860260084283 65.468399368208 65.4352995617201 65.3744333093818 65.3267975435329 65.2626247488959 65.1863110691354 65.1117323259702 65.0492853816972 64.9523038550331 64.880187464636 64.8117452010851 64.7192061031207 64.5851382150396 64.3912212033338 64.1779170438202 63.9428811935938 63.6946020690646 63.4420947433232 63.2473865707729 63.0436006860066 62.8333235624522 62.6170114082893
Euro area EMU Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) SP.MTR.1519.ZS
Euro area EMU Death rate, crude (per 1,000 people) SP.DYN.CDRT.IN 10.4853564158667 10.2506270695 10.5733255651615 10.6095956780284 10.2688757994173 10.5170262427873 10.3851535437918 10.4092203399833 10.717430798531 10.8786220520185 10.6276705034782 10.6400192546419 10.4859515171409 10.5566056279525 10.4177608261978 10.6177313936076 10.517738648509 10.2720920177095 10.3146608387733 10.1988935855678 10.2862342132976 10.2373439315744 10.0642077666537 10.2636931687154 10.0518947853485 10.2032880558675 10.0788597495678 9.91523195762936 9.91074742027794 9.91645168176688 10.0046234891711 9.97614855852632 9.8228277607858 9.95011678193444 9.82033855179213 9.84292055957195 9.81747861002198 9.71270928477927 9.78036935982712 9.74116757652117 9.60272764797993 9.47967255405937 9.55474412313143 9.75858092364481 9.23096529162581 9.43201861844142 9.23183941853276 9.31978275537839 9.40078300426692 9.41797677877405 9.42077739682353 9.42000901106737 9.7028320423329 9.66563509536034 9.47487500367176 10.0613514018654 9.84171851591119 10.1175824088875 10.1917572134456
Euro area EMU Children in employment, wage workers, male (% of male children in employment, ages 7-14) SL.WAG.0714.MA.ZS
Euro area EMU Unemployment with basic education, female (% of female labor force with basic education) SL.UEM.BASC.FE.ZS 19.0420740552896 18.0827751974548 17.2496365072332 14.9315754481996 15.1467925637241 15.3263003425519 15.8093446405724 15.5505384484493 14.996071475999 13.7640847608266 13.8817984865609 17.0294676870855 18.6476888919343 19.4174880350275 22.3261882794736 23.6644866464315 22.9794850883994 21.8750982394038 21.0712830329133 19.6824450353233 18.3958483579114 17.4594769862608
Euro area EMU Labor force with intermediate education, male (% of male working-age population with intermediate education) SL.TLF.INTM.MA.ZS 73.2129195638166 74.4016722556206 74.0389313075214 73.5825059676503 73.9926054137941 74.2976023411622 73.5079363497572 73.2752462043788 73.3764528427821 73.154436954953 73.1596932764225 72.8788071534633 72.6567952327309 72.9375248939028 72.9763299298158 72.8889302676566 72.9299805246833 72.2909721404509 71.6997816156583 71.2088594781829 71.0066385348204 70.311240372135 70.0668895042231 69.8113937577661 69.6705471986262 69.3471862282621 69.1163415469369 68.7849756249048
Euro area EMU Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.ZS 65.6348819083554 66.230179187067 65.7356140507275 65.5409204556488 65.7580981002391 65.7054127780332 66.0119661027961 66.3448328517582 66.8117786434841 67.3675170621734 67.7373421378367 67.6871022148891 68.3534741429105 69.0514655321305 69.4041928710476 69.9059889225747 70.3482341159337 70.7477312157697 71.1423039132459 71.2264382514146 71.369872667704 71.5393553599894 72.0240823022071 72.2073455870687 72.3093796321424 72.4860896342424 72.848260194913 73.1063460245589 73.4469626388646 73.6903846849854
Euro area EMU Children in employment, study and work (% of children in employment, ages 7-14) SL.TLF.0714.SW.ZS
Euro area EMU Children in employment, self-employed, female (% of female children in employment, ages 7-14) SL.SLF.0714.FE.ZS
Euro area EMU Wage and salaried workers, female (% of female employment) (modeled ILO estimate) SL.EMP.WORK.FE.ZS 84.9208470414847 85.0107453684246 85.166181331294 85.1513401650711 85.2482261747855 85.6579718001727 85.7773559652716 86.0793484880745 86.460306297278 86.9395179771532 86.8931360134904 87.2163332171379 87.3113220534348 87.3325111571246 87.4441892310552 87.5372918350721 87.8070441214716 88.0999680137624 88.3396171361566 88.3979370879598 88.5665187241301 88.5983095639956 88.6073685242521 88.5865254609697 88.6914823656608 88.7898929705843 89.0369670137677 89.2485833134511 89.2727939626652
Euro area EMU Employers, female (% of female employment) (modeled ILO estimate) SL.EMP.MPYR.FE.ZS 2.46269176304419 2.51737825358022 2.54780918443569 2.67355404125407 2.6458025604504 2.64225255037956 2.66745451394729 2.72600198984736 2.77059299006624 2.74662651707832 2.74014757227122 2.67122396589961 2.68460592120264 2.81341650019083 2.6971424053134 2.76248947936753 2.76402903838166 2.797194117881 2.73281930257808 2.70630425454329 2.68519207448681 2.70687027801808 2.73304950980944 2.67441963724885 2.74631057045526 2.77741446245727 2.73216205301661 2.63593554699155 2.63909728845302
Euro area EMU Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day) SI.SPR.PC40
Euro area EMU Gini index (World Bank estimate) SI.POV.GINI
Euro area EMU Out-of-pocket expenditure (% of current health expenditure) SH.XPD.OOPC.CH.ZS 15.4425673059602 15.1789594429524 15.1703297823655 15.2704454981475 15.5764722255624 15.4567516207327 15.830300517164 15.7741603932816 15.8471092697199 15.3699874918194 15.4877855061754 15.7515563787955 15.8518204980712 15.7395726238717 15.6682317452121 15.6976486560298 15.5650564392858 15.5546590639211 15.3561763981031
Euro area EMU Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%) SH.UHC.OOPC.10.ZS
Euro area EMU Prevalence of wasting, weight for height (% of children under 5) SH.STA.WAST.ZS
Euro area EMU Mortality rate attributed to unintentional poisoning (per 100,000 population) SH.STA.POIS.P5 0.424905019452023 0.299480635790196 0.280187925337077 0.264232184029392 0.286600757133672
Euro area EMU People with basic handwashing facilities including soap and water, rural (% of rural population) SH.STA.HYGN.RU.ZS
Euro area EMU Risk of catastrophic expenditure for surgical care (% of people at risk) SH.SGR.CRSK.ZS 1.056088642528 2.55587049006418 2.3697259175435 2.23738389198696 2.02148096425812 1.95068528887429 1.97431241728873 2.02346868032076 2.14740332574977 2.3816371111956 2.42187597235716 2.35275041774086 2.35851384368443 2.15536185488331 2.07640694473039 1.94399146782977 1.96771876104275 1.90500528131
Euro area EMU Immunization, measles (% of children ages 12-23 months) SH.IMM.MEAS 39.7113412175831 49.7298920235378 57.3739421754011 64.0297501048671 68.6701840529445 71.5059891724934 75.9125043739226 73.561009049192 73.2956133273161 74.9909636113856 78.7162709901563 79.8226928007933 81.2610471576514 83.4273890799356 83.9484959878052 83.5183328545263 85.9491261270275 86.8022264566635 88.3306946500343 89.3632699147348 90.7886231326353 91.356932833979 91.4339982668326 92.6160091793439 93.3577849241615 93.4929476194575 93.3548993674393 93.1780987523102 93.4485498021052 93.9978265576509 93.6355074996485 93.5278994719106 93.1579990016894 93.2330476878743 94.2202141265953 94.2788859240527 94.6299103946109
Euro area EMU People using safely managed drinking water services, urban (% of urban population) SH.H2O.SMDW.UR.ZS
Euro area EMU Probability of dying among adolescents ages 15-19 years (per 1,000) SH.DYN.1519 3.01041566110533 2.96091592400274 2.87058113946181 2.77840762786043 2.67420952017303 2.60270135595093 2.55289202131244 2.52807484271059 2.46482590116113 2.44992682489037 2.39048396590573 2.33088212105644 2.21041394208394 2.10330976987582 2.01713736935254 1.89828998110334 1.79938105061353 1.74036037039927 1.63075543969677 1.57032939117214 1.46531490131994 1.41000362455783 1.34894999534601 1.25343358206658 1.19568238579407 1.15770267692004 1.15289755855236 1.11601481693828 1.13509941368757 1.12767736791044
Euro area EMU Prevalence of anemia among children (% of children under 5) SH.ANM.CHLD.ZS 18.1218586148171 16.9999261934156 16.0105638384478 15.1759973410464 14.425756592318 13.8246718058504 13.3344084891222 12.9288881173072 12.584469288419 12.2962515090279 12.0647803269603 11.8716995202581 11.7217622806827 11.5990438798445 11.4874492538799 11.3840846927221 11.2883618055938 11.1945456503776 11.1419623706928 11.1153697925378 11.1791210291337 11.2584194175614 11.4497528779151 11.742021039735 12.1968175045084 12.7534568885162 13.4440257925638
Euro area EMU 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
Euro area EMU School enrollment, tertiary, female (% gross) SE.TER.ENRR.FE 16.2002792358398 16.2109603881836 17.0799598693848 18.3257694244385 19.1497592926025 20.104549407959 21.3058891296387 21.9211692810059 22.6341094970703 22.5247497558594 22.8957195281982 23.3761692047119 24.0436191558838 24.5314292907715 25.2914695739746 26.1775798797607 26.9986591339111 27.5187397003174 28.5741596221924 30.1382598876953 31.6850395202637 33.7796211242676 36.4048805236816 39.658260345459 43.1364593505859 45.509838104248 47.744010925293 50.5766410827637 52.8420104980469 53.5076599121094 54.9976387023926 57.04296875 59.0652008056641 61.2765502929688 63.510181427002 65.1545104980469 66.4129409790039 66.722038269043 67.413818359375 68.5913925170898 70.4683609008789 72.5568695068359 73.4407119750977 73.9384078979492 75.6263427734375 76.6606597900391 77.9339065551758 79.7079696655273 81.5580062866211 81.5580062866211
Euro area EMU Adolescents out of school, male (% of male lower secondary school age) SE.SEC.UNER.LO.MA.ZS 2.45198011398315 1.78208005428314 1.92639005184174 1.84581005573273 1.88589000701904 1.78727996349335 1.98141002655029 1.87845003604889 1.17467999458313 1.19584000110626 1.50364995002747 1.81921994686127 1.72474002838135 2.44585990905762 2.20202994346619 2.02325010299683 1.9293600320816 1.74943995475769 1.77778005599976 0.839619994163513 1.15442001819611 1.84538996219635 1.80007994174957 1.79314994812012 1.97830998897552 2.64742994308472 2.23040008544922 2.30361008644104 2.79802989959717 2.71954011917114 2.70360994338989 2.65975999832153 2.69394993782043 2.68121004104614
Euro area EMU Progression to secondary school, female (%) SE.SEC.PROG.FE.ZS 95.11257 95.39778 94.23578 94.15992 94.97197 95.69277 96.73344 96.43378 96.48055 96.70087 96.88458 96.41458 96.68563 95.92344 95.51041 94.8082 95.71875 95.9053 96.17122 96.5519 96.84186 97.06572 97.04711 97.0057 96.90584 96.91736 96.62267 96.4509 96.69756 96.66424 96.49255 96.49102 96.56812 96.51339 96.58135 96.61729 96.65955 96.61449 96.69044
Euro area EMU Secondary education, pupils SE.SEC.ENRL 25900000 26200000 27100000 28200000 29200000 29900000 30700000 31500000 32000000 32300000 32600000 32600000 32400000 32200000 31900000 31600000 31700000 31400000 30800000 30300000 29900000 29800000 30000000 30700000 31500000 31400000 30800000 30400000 29400000 29300000 29300000 29400000 29500000 29400000 29000000 29200000 29100000 28700000 28600000 28300000 28400000 28300000 28100000 28200000 28100000 28100000 28000000 28100000 28200000 28200000
Euro area EMU Children out of school, male (% of male primary school age) SE.PRM.UNER.MA.ZS 4.91012001037598 4.89787006378174 4.87803983688354 4.84485006332397 4.14112997055054 3.81112003326416 3.49909996986389 3.36067008972168 3.32505989074707 3.24622011184692 3.18527007102966 3.33215999603271 3.56396007537842 4.26390981674194 4.42400979995728 4.35777997970581 3.55327010154724 3.27775001525879 3.12736010551453 3.00785994529724 3.11546993255615 3.26662993431091 3.68247008323669 3.49237990379334 3.38996005058289 2.8983199596405 2.09101009368896 1.94323003292084 0.575380027294159 0.958029985427856 1.01198995113373 1.22988998889923 2.0686399936676 2.03695011138916 1.96191000938416 1.03324997425079 0.929880023002625 0.744849979877472 0.905939996242523 1.05955004692078 1.00924003124237 0.851010024547577 1.09538996219635 1.23816001415253 1.57243001461029 1.28973996639252 1.15674996376038 1.2822699546814 1.45495998859406 1.45065999031067
Euro area EMU Persistence to last grade of primary, total (% of cohort) SE.PRM.PRSL.ZS 91.88781 91.84343 92.16239 92.362 92.39862 92.66533 93.03008 93.54579 93.44267 93.18857 93.49887 93.89904 93.41909 93.96239 94.75565 94.91903 94.08306 93.60094 94.37604 94.86728 95.01971 95.07779 94.95017 95.14676 95.2077 95.44914 95.53563 95.54435 95.60928 95.59481 95.73676 95.84385 95.98502 96.38454 96.54118 96.26865 96.16747 95.78076 95.84131 95.29975 95.71587 95.56587 95.28491 95.45593 95.72958 96.08469 96.35843 96.30841 96.29788
Euro area EMU Gross intake ratio in first grade of primary education, total (% of relevant age group) SE.PRM.GINT.ZS 107.3012 107.3048 102.4882 100.7889 101.0291 100.7558 101.681 100.6708 101.5251 100.9921 100.1206 99.84731 98.9333 98.45733 98.74099 99.84639 100.1333 101.1228 100.8078 100.3045 98.54306 98.49882 98.63426 98.92343 99.63813 101.546 101.4135 101.7187 101.3025 100.6865 100.2165 98.80791 97.70643 99.33864 101.8076 100.4396 101.2509 101.5919 99.76291 99.63192 99.93305 99.82275 99.53147 98.89151 98.12015 98.99631 98.13243 98.05374 98.11037
Euro area EMU Primary school starting age (years) SE.PRM.AGES
Euro area EMU Literacy rate, adult female (% of females ages 15 and above) SE.ADT.LITR.FE.ZS
Euro area EMU Coverage of social safety net programs in 3rd quintile (% of population) per_sa_allsa.cov_q3_tot
Euro area EMU Adequacy of social protection and labor programs (% of total welfare of beneficiary households) per_allsp.adq_pop_tot
Euro area EMU Gross savings (% of GDP) NY.GNS.ICTR.ZS 23.4885578640077 23.5967058820559 23.4277282355528 23.8811792341497 23.7017114164723 22.6066107203609 20.8110177757524 20.4603603307779 20.6452916077963 21.215241618377 21.3758448721367 22.3318208150822 22.0292304317972 23.0267482951875 23.3693261614398 23.5236262308799 22.7081764316158 21.9681521675603 21.4943416491235 21.6736214079699 22.7751397718643 22.5274803763409 23.1079634615905 23.35613311435 23.2474321472736 23.1185382796908 23.0068784546895 22.9065389199108 22.4365324253984 23.3114183620481 23.1228793424346 23.8876385224767 24.5308153376485 23.2909390208497 21.1659495962345 21.581464716932 22.3580290799151 22.1218381838544 22.2736738088942 22.7699494856944 23.4970765580434 23.8992517521515 24.4117836166601 24.7037628751552 24.8720212281415
Euro area EMU GNI: linked series (current LCU) NY.GNP.MKTP.CN.AD
Euro area EMU GDP per capita (current US$) NY.GDP.PCAP.CD 923.425610828167 1005.2815426679 1106.57160271374 1230.22780815776 1355.99556104071 1468.915148101 1589.45238065743 1714.84510934116 1828.76689298042 2027.73122875924 2237.32462269709 2521.88549483784 3026.07586994893 3903.56984874993 4401.79688833406 5077.5848222581 5275.34523389499 5976.59981801666 7289.07433224365 8793.53008293546 9806.33545709093 8489.92602930342 8197.41007658252 7981.08397165847 7642.64457964818 7836.7920964764 10971.1480533901 13532.3157554029 14833.2097846001 15086.9718967749 18900.3945806209 19541.7317025523 21455.4570676904 19556.6145378733 20587.0283039792 23697.8592021255 23916.6121814645 21810.5997860033 22380.8179876866 22213.1816187379 20165.8326060912 20432.4603204908 22109.1846518183 27134.8776907149 30948.9563727981 31936.1497904881 33767.3020910767 38667.0694135763 42178.2950338263 38423.7564570954 37568.8891536299 40615.3479697679 37599.915754443 39105.1517383111 39858.3739785371 34370.787184202 35147.7422259268 37140.6698528957 40038.5067764355 38984.6859895145
Euro area EMU Discrepancy in expenditure estimate of GDP (constant LCU) NY.GDP.DISC.KN
Euro area EMU Adjusted net national income (constant 2010 US$) NY.ADJ.NNTY.KD 4468205149271.49 4636566672485.81 4871515993117.19 5146551566707.4 5165343032086.56 5126675773153 5371355740472.74 5526457365333.66 5749294228515.24 5936521217843.83 5931874042047.91 5854269586212.46 5893073952200.63 5987470488284.62 6126315748658.82 6280397214422.24 6608855416954.56 6813271647601.25 7128146664192.27 7394427530004.39 7663366274391.16 7833487313629.83 7953430815786.33 7888101329925.37 8073797397244.47 8296390554098.3 8446046193448.03 8677389810780.95 8970714939428.52 9247066540258 9487008329984.59 9674364206055 9756394519995.76 9843327150421.28 10100579519589.9 10215650408595 10537049621455 10829947338977.4 10704752352795.7 10308274009227.6 10468706412624.3 10571925216175.2 10434464080953.4 10444255275143.5 10620830049177.4 10896939768928.8 11186135439888.9 11439979263224 11590579554286.9
Euro area EMU Adjusted savings: carbon dioxide damage (% of GNI) NY.ADJ.DCO2.GN.ZS 0.358925407305641 0.433250749064715 0.469267760308184 0.503091974743676 0.553990748605454 0.572018461413193 0.420477389091199 0.365095604357174 0.349739719131577 0.389461424361776 0.330404067926935 0.387646692661042 0.360451122971969 0.407962514146957 0.405690519260908 0.386741226057206 0.410901543979652 0.464873395688795 0.480336915323035 0.497899087474605 0.581857254801648 0.619064963280806 0.597794850664446 0.515428275784709 0.477495315609112 0.485885226057518 0.490140655291534 0.444079330113018 0.417147554024081 0.435045165762264 0.472278683322619 0.441963752974541 0.489121668756654 0.482307735942853 0.470513900490575 0.57297733516259 0.575766442073439 0.570414731961077 0.553043339709401
Euro area EMU Chemicals (% of value added in manufacturing) NV.MNF.CHEM.ZS.UN
Euro area EMU Agriculture, forestry, and fishing, value added (% of GDP) NV.AGR.TOTL.ZS 2.39781219213953 2.27951708539002 2.10975644961752 2.14479969198036 2.55806125291051 2.55549977666487 2.47033901081737 2.35869903581075 2.22236631201238 2.15649510500853 2.13583903604258 1.9937383001828 1.91286609075471 1.87038849167725 1.65378435342825 1.54154282156225 1.57316826618948 1.51407974824455 1.3864381777711 1.52552051670293 1.56902007631686 1.58093170402959 1.63145010963574 1.61153151606161 1.59094368238031 1.54033852726039 1.61735160921382 1.56420534563557 1.54638566955021
Euro area EMU Imports of goods and services (current LCU) NE.IMP.GNFS.CN
Euro area EMU Gross fixed capital formation (current US$) NE.GDI.FTOT.CD 174782227953.111 199620894612.673 239336318752.961 308421241274.174 340064524065.116 378332191268.753 384832048432.644 436751633863.27 531968313117.746 648446029319.717 747854975286.621 630906386744.265 583820105228.715 554651098062.815 516408700045.107 526733668660.395 735480937402.786 924863717180.482 1050013443251.22 1100623997940.36 1407904691716.6 1448440986950.49 1560562637155.95 1346013948102.24 1411396346388.85 1625562638484.47 1630537757549.81 1483923153720.4 1557428145218.37 1589640850394.92 1475627096004.39 1472031775713.13 1550654748560.67 1903498795035.71 2193343405883.07 2311584012869.73 2530373839014.07 2976719531643.35 3218451228299.69 2709580988167.2 2599836477510.58 2814540094215.68 2546351339445.83 2577904706229.49 2629790834957.83 2322294145251.3 2426508111096.83 2607539399080.03 2852434520334.21 2928049917608.55
Euro area EMU Final consumption expenditure (constant LCU) NE.CON.TOTL.KN
Euro area EMU General government final consumption expenditure (% of GDP) NE.CON.GOVT.ZS 15.3595921122068 16.1165539030258 16.3572561562783 16.4601541019196 17.0249372512019 18.1821520894613 18.1009882420389 18.3077238573217 18.6325420049334 18.7235479534632 19.1267865636989 19.8880695582298 19.9633951196097 20.0357717894426 19.8614848028524 19.9542369252027 19.7637507220312 20.0259019423702 19.720905866304 19.2791432957555 19.4103851811102 19.6115163547773 20.0601036644642 20.4212244280358 20.1037581426435 19.9361220331971 20.0413224257418 19.7978945433834 19.4905324199531 19.5106173274749 19.3742683750576 19.4684770472872 19.8390196591893 20.1341674188594 20.0033853470479 20.1095874841375 19.9440173769974 19.6538678143792 20.1522215970645 21.8093313482767 21.5645800088875 21.1713154076441 21.1885303171336 21.2682468940039 21.1426096825128 20.8749306597085 20.7925653360594 20.6091411414822 20.5459031894505 20.6682355415208
Euro area EMU Logistics performance index: Overall (1=low to 5=high) LP.LPI.OVRL.XQ 3.49055555555556 3.50789473684211 3.48263157894737 3.57849852631579 3.65788031578947 3.53105263157895
Euro area EMU Container port traffic (TEU: 20 foot equivalent units) IS.SHP.GOOD.TU 39584683 41083986 45368890 49496502 56463577 60340714 64608715 76781743 77334454.6632 67115467.7011566 71740133 79014079 80945539 83026227 86741408 85977339 88579508 93538407 97407684 98539688
Euro area EMU CPIA efficiency of revenue mobilization rating (1=low to 6=high) IQ.CPA.REVN.XQ
Euro area EMU CPIA business regulatory environment rating (1=low to 6=high) IQ.CPA.BREG.XQ
Euro area EMU Investment in transport with private participation (current US$) IE.PPI.TRAN.CD
Euro area EMU Time required to start a business, male (days) IC.REG.DURS.MA 49.78125 41.65625 30.28125 26.5 22.9705882352941 18.0833333333333 17.1944444444444 16 15.5526315789474 15.1578947368421 14.4210526315789 12.3947368421053 11.4210526315789 10.8947368421053 10.3684210526316 10.4473684210526 9.81578947368421
Euro area EMU Firms offering formal training (% of firms) IC.FRM.TRNG.ZS 36.12
Euro area EMU Time to export, documentary compliance (hours) IC.EXP.TMDC 2.15789473684211 2.15789473684211 2.15789473684211 2.15789473684211 2.15789473684211 2.15789473684211
Euro area EMU Ease of doing business score (0 = lowest performance to 100 = best performance) IC.BUS.DFRN.XQ 74.9905689473684 75.4360136842105 75.6257310526316 75.8805352631579 76.0788063157895
Euro area EMU Other expense (current LCU) GC.XPN.OTHR.CN
Euro area EMU Taxes on international trade (current LCU) GC.TAX.INTT.CN
Euro area EMU Net investment in nonfinancial assets (% of GDP) GC.NFN.TOTL.GD.ZS 1.25062283065854 1.11705537359694 1.11917493781681 1.27022291464223 1.08842994458836 1.04019699881786 0.819221139349073 0.802166370920023 0.879556363604446 0.952620428250218 0.935317794291692 0.953134797317853 0.840257224569693 0.862291236743832 0.85396779997349 0.794592093922251 0.777069568342434 0.827355333128844 0.942651807240604 1.02701325347203 0.929625059825316 0.862443863788658 0.794409419775321 1.43606003765804 1.36720628707515 1.29828214505286 1.3085283779454 1.34489563035665 0.377709829233717 1.27020753168561 1.18847919766885 1.32869191634465 1.29187817075776 1.27007524943083 1.22691282077582 1.23430031173125 1.30379839373683 1.47624504953955 1.36199358432564 1.2867452401997 1.18219120137513 1.12427268488327 1.10788523669483 1.12335394305212 1.09319058520433
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) FX.OWN.TOTL.60.ZS 90.4376220703125 96.4130020141602 96.2756195068359
Euro area EMU Broad money (% of GDP) FM.LBL.BMNY.GD.ZS
Euro area EMU Commercial bank branches (per 100,000 adults) FB.CBK.BRCH.P5 33.61 31.88 33.75 37.36 36.61 35.35 34.18 32.76 26.63 26.89 27.98 26.84 24.62 22.86 20.87 20.2
Euro area EMU Total fisheries production (metric tons) ER.FSH.PROD.MT 3739271 3879934 3912547 4106339 4353357 4542945 4573953 4799127 4988743 4798191 4882357 4741552 4769804 4955491 4969241 4850306 4692406 4445984 4473231.7 4232441.7 4393862.4 4624268.2 4758353.1 4736872.171 4838446 4917893.5 4960921.388 4962693.6 6360912.8 6232188.2 5819968 5745246.6 5039566.8 5076656.4 5056158.3 5323760.9 5203094.6 5154803.2 5315583.6 5228944.9 5069782.1 5192094.8 4829772 4877634.9 4771263.4 4772451.4 4823979.469 4683841.454 4464931.914 4419294.659 4497701.94 4318808.953 4020756.958 4113322.906 4404395.33 4190658.402 4288607.176
Euro area EMU Fish species, threatened EN.FSH.THRD.NO 534
Euro area EMU PFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.PFCG.KT.CE 3900.84524722932
Euro area EMU Other greenhouse gas emissions (% change from 1990) EN.ATM.GHGO.ZG -0.0810140519075575 -1.2784149325225 0.721420196046529 0.165694379479819 -1.58320111279249 2.35290126801613 3.02522808731198 -42.2403090185685 -50.2708873470853 -40.2551557922851 -49.9307345012393 -49.0322373035816 -39.9390739112786 -42.6316332573111 -30.8099989105026 -33.249534557315 -27.7081553167254 -28.9581143252079 -23.6455215686928 -19.5723591702156 -19.5723591702172 -19.5723591702172
Euro area EMU Combustible renewables and waste (% of total energy) EG.USE.CRNW.ZS 1.773782006932 1.66339550114971 1.51008173148594 1.39400121098263 1.28713436663323 1.24283891481657 1.20293546361229 1.10744180645331 0.991988575934671 0.910154143230004 2.43261123045262 2.34411293606614 2.23553719959922 2.09581436569681 2.20040527240494 2.26018513843373 2.06180617782223 2.08922149265057 2.07401269968967 2.06469860187377 2.1207567569513 2.21609344053591 2.33188611388374 2.44454499478246 2.48016732514161 2.52853950089509 2.44322728724699 2.46266225507904 2.53706323353608 2.85759038277359 2.66015796212227 2.7246063255699 2.71824964052279 2.74716010131097 2.6986893161969 2.67834396571729 2.71267990776214 2.81912449258257 2.83166664382729 2.84606827187755 2.84856951544961 2.83819186415621 2.92593643995656 3.17916607983 3.18063148870512 3.46561648962572 3.70501162969636 4.11338385340931 4.36288060496517 4.83584048123225 5.03231137885523 4.86618653987954 5.29672527210687 5.35537699702019 5.42732955682574 5.4507732817519
Euro area EMU Electricity production from oil, gas and coal sources (% of total) EG.ELC.FOSL.ZS 55.5494351009292 59.067350653614 62.6581100928848 60.7749293828285 66.1496104319337 63.4235950180206 61.3765521110808 64.8171273584931 66.0504616644143 67.5291413254956 69.6526025289658 73.1362452097565 72.9042264049442 74.8880435201345 73.1800757040001 70.9145609963387 75.1272800872157 67.8177074354547 68.8413777295678 67.9740408315845 67.7085229476303 63.3448408587111 61.8257331112074 59.2211597313339 54.5160831721139 51.1164334600259 49.9228508016316 49.3857443092415 47.5587561982694 50.4598860600853 51.1666019604273 50.5875863150408 49.4320074295544 47.6721962422557 47.9442340396904 48.7032940844318 47.6515914778759 47.983962318554 49.2862672660845 49.2641487626655 49.0268660763042 48.0682256580012 49.8910726459716 50.3241633861771 49.9323706643215 51.0985009919111 50.4116943205269 51.1817324466941 49.7181078867699 48.1062455564211 46.4009517390269 46.2929965644308 44.9215007545006 41.4664597170335 38.9636592720782 40.6754011642967
Euro area EMU Debt service on external debt, total (TDS, current US$) DT.TDS.DECT.CD
Euro area EMU Net official flows from UN agencies, UNRWA (current US$) DT.NFL.UNRW.CD
Euro area EMU PPG, commercial banks (NFL, current US$) DT.NFL.PCBK.CD
Euro area EMU Net financial flows, bilateral (NFL, current US$) DT.NFL.BLAT.CD
Euro area EMU External debt stocks, total (DOD, current US$) DT.DOD.DECT.CD
Euro area EMU Net bilateral aid flows from DAC donors, Luxembourg (current US$) DC.DAC.LUXL.CD
Euro area EMU Net bilateral aid flows from DAC donors, European Union institutions (current US$) DC.DAC.CECL.CD
Euro area EMU Portfolio equity, net inflows (BoP, current US$) BX.PEF.TOTL.CD.WD -19487887.7904381 91345516.2958693 124746493.747395 61028686.7384685 260942388.365223 1154875255.63847 -163588996.74824 -288380604.87398 736302739.649428 436140426.412966 978206627.997766 1869972090.4335 1386498185.26338 831249860.445849 1410348209.0182 615973959.857401 2077915618.21167 1646145625.84591 5828684111.18222 13928995512.3771 6380516473.40138 8415002457.06964 33707092940.1045 10824709418.2129 11280223351.8688 5122171726.82273 39812658425.7966 12106033953.7097 17204759767.7057 44628887459.2285 44137382502.7913 161589871915.737 183081125143.527 148540314666.441 201053860025.744 129863174664.896 213473242773.022 290829128691.863 568781487263.933 580438075014.04 379765678936.557 -272659186076.525 327034884597.229 378807519244.341 131111580434.055 345061968607.062 478119172679.118 737754796673.242 739187082841.646 400168835438.818 854040734311.907 221674424046.131 507656162603.076
Euro area EMU Grants, excluding technical cooperation (BoP, current US$) BX.GRT.EXTA.CD.WD
Euro area EMU Foreign direct investment, net outflows (BoP, current US$) BM.KLT.DINV.CD.WD 2073673811.58936 3585515256.71168 4541551289.77709 5711604797.17566 6543820235.4685 6848983880.51344 7395950158.60406 7750245426.23689 10205818698.5182 15498528753.5245 14671504590.2548 14970789005.6947 10467938831.3582 11458880396.1708 14683829421.5694 13143747986.155 24560275350.3405 33320806511.6362 47039106188.6192 63207844622.1527 94870517894.4701 80220531852.6876 83040164175.9582 67663193005.668 77233853547.205 104169314149.217 153791464772.04 153285695927.174 275877419094.675 511598582549.861 547090979472.122 380884514722.072 190056197414.291 237205274451.719 385083363469.113 815489968255.675 1118839700113.62 1481615041567.18 1044482748393.47 536792973129.054 623108410389.77 876586644468.782 569863478378.737 675912566305.757 535633268556.469 895716076815.727 707224300746.389 607336007233.964 134165086333.25 178154585098.285
Euro area EMU Crop production index (2004-2006 = 100) AG.PRD.CROP.XD 64.9319891428848 70.610473022771 73.1088966184642 71.2113402062082 71.9609525529648 71.8811081039431 76.7962820898614 76.7470112910119 73.7182467575791 78.1467775325675 76.8289855536189 75.6938509038887 83.4126908462299 82.8709281491097 79.8885982694743 76.1577814952203 75.5068901464135 82.5857812290906 87.5287110753146 88.0871529532414 82.2525346004135 90.3679758237742 85.8000035289573 91.9512538344089 91.0761725987305 90.4756017727257 94.3242409148743 89.9389608496417 93.7494833703099 90.6564734483635 90.2412696077691 93.4776141407788 89.2342805467011 87.4560214779115 85.9879161502677 95.9406916566808 96.837283012417 95.3455802481026 100.248526523328 101.81285530294 98.0588616632905 97.9864922498707 94.559521571892 104.785692082754 98.0720604860671 96.0381416146246 94.8730823517049 98.3928439316847 101.167652410403 97.0720127642581 99.6321493429676 92.818130184795 99.342590685174 99.7623395494278
Euro area EMU Land under cereal production (hectares) AG.LND.CREL.HA 36293491 37094202 36488196 36494598 36406957 35719147 35911171 36524545 36434039 36353436 36237802 36257112 35883682 36339898 35690992 35787517 34730335 36108335 35655880 35939098 35267753 35452627 35091611 35321771 34910064 34633772 34141828 33939434 34147577 32918782 32823235 34323906 32920941 32263236 32695831 33686140 34804430 34184449 33219593 34466051 33828892 34580343 33687362 34354081 33785329 32883058 32892507 34898016 33254714 32121813 32026502 32717890 32971491 33058167 32786611 32516875 31292821
Euro area EMU Export value index (2000 = 100) TX.VAL.MRCH.XD.WD
Euro area EMU Insurance and financial services (% of commercial service exports) TX.VAL.INSF.ZS.WT 2.34538701615835 2.84253407235865 2.65728724503413 2.7542169865078 2.64641434725893 2.57430598820734 2.80288767383228 2.75405210822682 2.50062481439559 2.62618494239169 2.7550499187939 3.69667531384017 3.81911632097698 4.27887115567213 4.31494343682293 4.10549509179681 7.03293144609768 8.70068192143539 8.4672137341286 6.05744718850798 6.2239689807138 6.6784109603094 6.95495021193564 6.52296620424891 7.43584424491032 7.16848934181374 6.25240257956255 8.2826328731095 7.2786652509681 9.16326593819139 8.86107836680721 9.74612534469904 9.9084598451339 9.72405665704883 10.6000264759087 10.0936829737629 9.91755276852093 10.0815667792393 9.41450107485491 8.70579153740406 8.4044045893891 8.51318642874023 8.15761816211234 7.90543408979743 7.90020792116641
Euro area EMU Merchandise imports by the reporting economy, residual (% of total merchandise imports) TM.VAL.MRCH.RS.ZS 11.3077818385431 10.9425668930456 10.8942887062757 11.3207368221634 11.2651829549519 11.4974166971244 11.2911551507519 11.6670570587965 11.8993808636064 12.3043181868341 11.9083364347447 11.9573738477713 12.266747419936 12.2715058225489 11.2470106916356 11.1570595421007 11.4620702583093 11.0177120919068 11.2487288542803 11.1826816939254 10.903612576622 10.899203010655 11.3659850104211 11.8645314453755 11.7608300695464 11.3791233888774 11.4377309698353 11.2309219314029 11.3834741576267 11.1465334960744 10.9490266533981 10.7857512376994 9.7589001842089 6.64611036607156 7.34407819742832 7.24062702295357 7.03219095403291 6.02526356924589 5.418279239507 0.84020994013876 0.700846771954242 0.790100260956606 0.449179250624321 0.446499975006162 0.437319951943861 0.350655306735669 0.289990091839055 0.224577991318827 0.241050298159834 0.24700020351593 0.126833089729024 0.136012333474016 0.149985826700052 0.157820058931514 0.169072252900639 0.184048892146633 0.215806346794514 0.248975042717053 0.301777937877488 0.382696445911539
Euro area EMU Food imports (% of merchandise imports) TM.VAL.FOOD.ZS.UN 22.210342321735 19.3017990162086 18.3668339984805 19.1727210838633 18.9646340560669 18.2159479085522 17.0915155442991 16.3797508001702 15.479877195531 16.9168686118126 16.1375137795557 16.3253411263608 13.6889094485133 14.9016329825207 13.7604193472328 15.1512393784225 14.7489661399612 13.3128900581517 11.9438122911611 12.1167638999905 12.5456704080512 12.641163463927 12.3768045513618 12.1473766114704 12.7648024298812 12.2371705816502 12.0391350345581 11.024329762422 10.5869676782427 10.9825468362853 11.1988034822442 11.5342656578795 11.6246209629365 11.0735490233823 10.8890374114752 10.0913448211916 9.84124527278521 9.42031048921344 7.83628786914064 8.32601613538205 8.73275093867673 8.68353489093925 8.12606661057109 7.95445302437401 7.5413207906626 7.78282243253799 8.33159934770238 9.70115599374779 8.84705492950567 9.04012981894346 9.30506841957971 9.7270056469932 9.78114347022286 10.0559641292083 10.3187243276171 10.0853439013357 9.48991093140476 9.53399508466309
Euro area EMU Share of tariff lines with international peaks, all products (%) TM.TAX.MRCH.IP.ZS
Euro area EMU International tourism, receipts for travel items (current US$) ST.INT.TVLR.CD 143396000000 146894000000 142137000000 152793000000 166460000000 159306000000 157956000000 169173000000 199874000000 229276000000 234977000000 253247000000 286745000000 313768000000 274351000000 264050000000 302229000000 287966000000 312719000000 327875000000 290206000000 297710000000 329288000000 361469000000 357153458966.423
Euro area EMU Completeness of birth registration, urban (%) SP.REG.BRTH.UR.ZS
Euro area EMU Population ages 80 and above, male (% of male population) SP.POP.80UP.MA.5Y 1.20888424189664 1.27012773230727 1.30726356969182 1.31891079752949 1.30498169346325 1.26626533452058 1.32789062260539 1.36936110543058 1.38552054798182 1.37155856894549 1.32562255002543 1.37547464271032 1.4007807552183 1.40315001347658 1.38463400494367 1.34537398055131 1.41607649790429 1.46666361804851 1.49761231701414 1.51117904570643 1.5070842341818 1.61302725936534 1.6979741840351 1.75706065404357 1.78846890702369 1.79236685650652 1.90940828459644 2.00122692512859 2.06665894152045 2.10734145875941 2.12402981935442 2.24756133499967 2.35531860970082 2.42714320612505 2.43828314353313 2.38239114180404 2.3982063468528 2.36333688660365 2.30697602073169 2.26303450132347 2.24629690212617 2.36463245918301 2.49048279478332 2.61219104884244 2.7179925968437 2.80432646537323 2.98087246160773 3.13730669670593 3.27357946928738 3.39049485901596 3.49212077761684 3.66750929181085 3.82039438045309 3.95855058441412 4.0859775345069 4.20462852042636 4.4018103434943 4.58079348131516 4.73230647415363 4.84715407087845
Euro area EMU Population ages 55-59, male (% of male population) SP.POP.5559.MA.5Y 5.70440245169552 5.72588319078776 5.72184295099758 5.70040106130988 5.67331502603712 5.64664455308633 5.59364177646645 5.55913325267554 5.50928367849436 5.39330659011979 5.18755953057635 4.87812122763838 4.48210353411508 4.08809205819198 3.82758162064905 3.7724138370555 3.88367173337547 4.17725913195542 4.57043258032975 4.93918179293728 5.21111859186378 5.38152799243887 5.4779916425216 5.52295358965403 5.55274226464306 5.58788639644901 5.59619630398385 5.59578185004006 5.59535683868937 5.60800647259982 5.64157521815394 5.67757480709238 5.74397547748857 5.81809324164611 5.86530521454886 5.86841751756815 5.82548468195716 5.73692919704391 5.63702970853487 5.57962042567982 5.59513633309876 5.65582145977662 5.78768377801616 5.95603144030309 6.10819219844429 6.21360095623407 6.26515543292237 6.27397817645537 6.26040207903116 6.25862005896986 6.28934933722099 6.34555060984889 6.43111026664734 6.53837743231435 6.65953668328894 6.7901310438748 6.91505944013099 7.05340710136855 7.19335856530615 7.3157986117256
Euro area EMU Population ages 15-64 (% of total population) SP.POP.1564.TO.ZS 64.6465967732433 64.4205522322974 64.2565729632645 64.1332878125493 64.0115503847335 63.8750342739432 63.6453055640093 63.4457825212625 63.2723148968921 63.1273072225305 63.0152918417491 62.9525072188647 62.9366793481304 62.9710309068186 63.0609288804428 63.2085606107289 63.3431992346356 63.5187665638903 63.7623521592882 64.1072190410207 64.5610078759952 65.0235591533777 65.5836842575324 66.1736401696732 66.6995246541686 67.10785518372 67.3195741926852 67.4431770790147 67.5006436085163 67.5333286542493 67.5651356486542 67.5385546554689 67.5133424593593 67.4898641528099 67.4704263741309 67.458054698343 67.4173846569136 67.3869377527572 67.3603020031919 67.3231154295841 67.2630860510301 67.1913133248299 67.1067920930954 67.0137830650632 66.9252785292705 66.8511625621251 66.7138163642268 66.6030076181121 66.4988752606937 66.3761946330329 66.2197920151649 65.9814320888736 65.7343535681244 65.4768484427884 65.2169183354024 64.9616760107782 64.7527979494183 64.5424686055156 64.3321110700018 64.1226250968423
Euro area EMU Population ages 0-14, female (% of female population) SP.POP.0014.FE.ZS 23.6355920203825 23.7350799184082 23.7791782507843 23.7834906208117 23.7815289928138 23.7832609615073 23.8271226324774 23.8390976940677 23.8235331048422 23.7794738309134 23.7109122478756 23.5742756426746 23.4130178933806 23.2206607888757 22.9860685269149 22.7063898286737 22.3724668076619 22.003348918688 21.5997411535986 21.170467019432 20.7277526158892 20.3215113578438 19.9137448242864 19.5137967259706 19.1315320583765 18.7711703693611 18.4747757513824 18.1852052253 17.908855087967 17.6497108218394 17.4110781361558 17.2038773630899 17.0131162287966 16.8357652286392 16.6638644957114 16.489107543444 16.2991122653989 16.116884744026 15.9383477627839 15.7641434003926 15.5986188837696 15.4524642069594 15.3089422956719 15.174265913752 15.0542619183343 14.9479784414794 14.8843369559388 14.8301852860302 14.7823404411327 14.7324081704919 14.672267599788 14.6704783791013 14.6307647261913 14.5701352669116 14.506827061481 14.4496537012604 14.3980901667449 14.3609728985462 14.3305021982562 14.2904966192109
Euro area EMU Mortality rate, infant (per 1,000 live births) SP.DYN.IMRT.IN 7.9430780463644 7.60241982923457 7.23064042904674 6.81303253044636 6.37821861803723 6.01505684047227 5.65611713599575 5.37067468678138 5.15026296403333 4.93801348615958 4.76519893202345 4.60807287109359 4.44167097545365 4.27273223837922 4.11759667923524 3.98531237185708 3.86317533506259 3.74644765050321 3.64561935351023 3.55726967041869 3.51289840598034 3.40531261250024 3.35276724934022 3.30056107683848 3.26054958074962 3.23127035770631 3.20602179451111 3.19038907383931 3.18412533114727 3.15618890718689
Euro area EMU Refugee population by country or territory of origin SM.POP.REFG.OR 32 16 79 28552 16222 14457 8790 8692 6766 7029 6224 3571 8755 8584 7169 6928 8518 2389 2476 2480 2245 2385 2537 1800 1750 1647 1756 1892 2230 2319
Euro area EMU Unemployment with intermediate education, male (% of male labor force with intermediate education) SL.UEM.INTM.MA.ZS 9.93858418982617 9.11114975928086 8.35190375846585 7.9786680521244 7.91067474952022 8.52002635871532 8.8716566226297 8.43242049294894 7.55140899608749 6.49498281575201 6.66853541511995 10.5261537747228 11.4110911207336 12.2913988832297 14.5149991604127 15.2999468859615 14.2106120054338 12.7995364246215 11.4100640306357 10.1872795738256 9.29963167910027 8.52939349598083
Euro area EMU Part time employment, total (% of total employment) SL.TLF.PART.ZS 23.4479029324194 24.7655402844879 24.4395932147871 25.4434891337733 26.397325051747 26.6268404341988 25.8701373058944 26.2860090514791 25.5061947813026 27.8377605867303 28.2022092371869 31.8150068975259 30.3146968750759 31.0536330625128 33.4849112819565 33.9841706367904 34.5138231034513 34.8684474959107 37.1367896975739 35.9916126423448 36.2027705807149 37.4311086373818 38.2320317349704 38.2600822916454 38.2225222595551 37.1973733673319 37.7165938326897 37.2288313379928 37.4392327018796
Euro area EMU Labor force with basic education, female (% of female working-age population with basic education) SL.TLF.BASC.FE.ZS 32.8547554085289 33.8634035280286 33.4838257727514 33.6076595266148 33.5348964360639 33.4301754651059 29.6924488417166 30.5451859060342 30.2216962120272 29.6906418633478 29.4300486383516 29.9276340669804 29.4998370894369 29.8091371420422 30.1274703386792 30.1915198062983 30.046347382368 29.9686910741315 29.8196239909863 30.1885354505175 30.1027251253359 29.7137942592075 29.2826769364907 28.8583898814037 28.6766374939736 28.6243006334536 28.2922261146154 28.1231107060628
Euro area EMU Children in employment, work only, male (% of male children in employment, ages 7-14) SL.TLF.0714.WK.MA.ZS
Euro area EMU Child employment in services, male (% of male economically active children ages 7-14) SL.SRV.0714.MA.ZS
Euro area EMU Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) SL.FAM.0714.MA.ZS
Euro area EMU Self-employed, male (% of male employment) (modeled ILO estimate) SL.EMP.SELF.MA.ZS 20.2548787485335 20.5088886582399 20.5823906335433 20.8807337054495 20.6844296269362 20.7766599994468 20.7446390498578 20.4835972155923 20.1409365507741 19.7302863862916 19.5923529715852 19.5468104606226 19.8076015657826 19.9812666521949 19.8561361007334 19.7952313484774 19.5959252376977 19.2571745394482 19.4936634924771 19.6664653273605 19.5693598696791 19.6007291193159 19.5352481367252 19.3464261612814 19.0605416340164 18.7207584143733 18.3152993859925 18.0459781552796 17.9243129658479
Euro area EMU Child employment in agriculture, female (% of female economically active children ages 7-14) SL.AGR.0714.FE.ZS
Euro area EMU Multidimensional poverty headcount ratio, children (% of population ages 0-17) SI.POV.MDIM.17
Euro area EMU Domestic private health expenditure per capita (current US$) SH.XPD.PVTD.PC.CD 450.66005845031 455.716182963147 509.349387212862 644.857603615805 751.29345777064 777.941959135266 831.174027226644 948.177770503429 1068.80017915408 1034.01061967596 1007.19800060675 1099.84210565256 1039.26743605533 1079.54269674128 1098.31183835508 933.969577183225 954.373388217147 996.847917423706 1067.76377998428
Euro area EMU Newborns protected against tetanus (%) SH.VAC.TTNS.ZS
Euro area EMU Tuberculosis treatment success rate (% of new cases) SH.TBS.CURE.ZS
Euro area EMU People using safely managed sanitation services, urban (% of urban population) SH.STA.SMSS.UR.ZS 94.4518094106826 94.6957941955532 94.9456900273254 95.2023088905262 95.4643077476045 95.7160036941013 95.9877266670762 96.2614986707006 96.539992025205 96.7936286606676 96.9578183371139 97.0030910979221
Euro area EMU Prevalence of underweight, weight for age, male (% of children under 5) SH.STA.MALN.MA.ZS
Euro area EMU Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population) SH.STA.AIRP.MA.P5 19.0186968920091
Euro area EMU Physicians (per 1,000 people) SH.MED.PHYS.ZS 3.13822602865171 3.26274256247217 3.52854482603927 3.93393666797545
Euro area EMU Prevalence of HIV, male (% ages 15-24) SH.HIV.1524.MA.ZS
Euro area EMU Mortality rate, under-5 (per 1,000 live births) SH.DYN.MORT 9.57854684262064 9.16352599988258 8.74155898811047 8.26192326363467 7.77300882832457 7.30017497408206 6.8778175492821 6.51365035246315 6.2393464422176 6.00017876132044 5.80203625962363 5.57313644614289 5.37497710272785 5.17885377656567 4.99653785719522 4.81680579953285 4.65273862440392 4.5231195373706 4.38293565335987 4.30179884205097 4.19695454506813 4.09294646747018 4.01630476457592 3.94125791848387 3.88067670190712 3.82806395373821 3.80736416654054 3.80137846636453 3.78616514803084 3.74136622456983
Euro area EMU Number of deaths ages 5-9 years SH.DTH.0509 4098 3931 3768 3595 3418 3232 3053 2873 2702 2562 2408 2284 2168 2062 1961 1872 1794 1729 1667 1616 1562 1517 1475 1438 1403 1373 1344 1327 1288 1255
Euro area EMU Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day) SG.TIM.UWRK.MA
Euro area EMU Current education expenditure, secondary (% of total expenditure in secondary public institutions) SE.XPD.CSEC.ZS 93.1913452148438 93.1275024414063 94.3813438415527 93.2379684448242 93.6042861938477 91.0646362304688 91.9637680053711 93.2144317626953 91.3631820678711 91.4083366394043 92.5132904052734 92.548828125 92.2985610961914 93.2955627441406 93.7550582885742 96.6265335083008 94.976692199707 94.0057983398438 93.4262237548828 94.5710220336914
Euro area EMU Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS
Euro area EMU Trained teachers in lower secondary education, female (% of female teachers) SE.SEC.TCAQ.LO.FE.ZS
Euro area EMU Pupil-teacher ratio, lower secondary SE.SEC.ENRL.LO.TC.ZS 12.5854 12.52239 12.73681 13.16067 13.17736 13.0235 12.89365 12.82418 12.51048 12.23826 12.21651 12.18933 12.04483 11.85121 11.73361 11.42662 11.23094 11.30787 11.33338 11.40014 11.57951 11.7807 11.61077 11.5303 11.24983 11.30121 11.30701
Euro area EMU Lower secondary completion rate, male (% of relevant age group) SE.SEC.CMPT.LO.MA.ZS 68.6524200439453 69.2855529785156 69.7314834594727 70.5492095947266 70.9342193603516 72.6297073364258 72.82763671875 72.939208984375 72.2590484619141 71.2589569091797 71.5665893554688 72.1440505981445 73.3662414550781 74.7092590332031 75.9662094116211 78.762451171875 78.9839019775391 80.4946517944336 81.425666809082 82.644889831543 83.7067718505859 82.6038284301758 83.0040893554688 83.6263427734375 83.6269989013672 82.9609680175781 82.4754180908203 83.1979827880859 83.8877868652344 84.9075775146484 84.8983383178711 85.2949295043945 86.2514190673828 88.8193206787109 88.7683715820313 88.0552597045898 87.6253967285156 87.7228164672852 88.8317108154297 89.4980697631836 89.4320907592773 89.904426574707 89.7462921142578 90.1022262573242 91.0657730102539 91.351448059082 91.406608581543
Euro area EMU Trained teachers in primary education, female (% of female teachers) SE.PRM.TCAQ.FE.ZS
Euro area EMU Net intake rate in grade 1, female (% of official school-age population) SE.PRM.NINT.FE.ZS
Euro area EMU Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) SE.PRM.CUAT.FE.ZS
Euro area EMU School enrollment, primary (gross), gender parity index (GPI) SE.ENR.PRIM.FM.ZS 0.99926 0.99957 1.00133 1.01425 0.99804 0.99888 1.01442 0.99653 0.99703 0.99403 0.99697 0.99715 0.99753 0.99738 0.9969 0.99341 0.99216 0.99475 0.98982 0.99226 0.99478 0.9958 0.99505 0.99563 0.9925 0.9865 0.98626 0.98909 0.9878 0.98825 0.99021 0.99055 0.98717 0.98792 0.98904 0.98772 0.98702 0.9883 0.9878 0.98976 0.99058 0.99228 0.9947 0.99694 0.99722 0.99795 0.99962 0.99558 0.99601 0.99693
Euro area EMU Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) per_si_allsi.ben_q1_tot
Euro area EMU Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) per_lm_alllm.ben_q1_tot
Euro area EMU Taxes less subsidies on products (current US$) NY.TAX.NIND.CD
Euro area EMU GNI, PPP (current international $) NY.GNP.MKTP.PP.CD 5296759879292.19 5609953828680.87 5815210777385.56 5920082262596.83 6181363764203.68 6476755614577.9 6700286924892.86 6995915791888 7328876712849.74 7650116405873.38 8149682397594.47 8534835411947.38 8876474207652.09 9066260812989.56 9515823485684.78 9911557097678.63 10784313530008.4 11431161632914.3 11883523030735.6 11707609614489.9 12072336770905.7 12611517118990.1 12784850524787.5 13240443871851.2 13593611811129 13956380682951.3 14880275041862 15660029769007 16848697635050.6 17456223229356.2
Euro area EMU GDP per capita (constant LCU) NY.GDP.PCAP.KN
Euro area EMU Gross value added at basic prices (GVA) (constant LCU) NY.GDP.FCST.KN
Euro area EMU Adjusted net national income per capita (annual % growth) NY.ADJ.NNTY.PC.KD.ZG 3.19888361641878 4.36252518256256 4.97681082654083 -0.204538673191308 -1.25983432115984 4.30460163286203 2.47720726142366 3.61176168268477 2.83315738581442 -0.507398198614979 -1.68530813977537 0.38779443448 1.39739195797411 2.14745717895299 2.32115975115532 4.96808712382644 2.80883579353082 4.27286031278365 3.29330635108838 3.16258384374353 1.74739593033304 1.06128410971387 -1.22605148016187 2.05723186074638 2.49305462968266 1.54085217203972 2.49452661869825 3.16278399709728 2.8150841712576 2.25891791964841 1.58375883878858 0.357104891079658 0.345959535414536 2.05088453343194 0.617891054825108 2.66539961855715 2.24751931292322 -1.63786314514851 -4.01564380361934 1.31749727490202 1.20631121127879 -1.51738663412743 -0.245324150363729 1.34208655669408 2.28957598372601 2.35441832096623 2.06487815766701 1.11502888431347
Euro area EMU Adjusted savings: consumption of fixed capital (% of GNI) NY.ADJ.DKAP.GN.ZS 12.4178822076114 12.6310226747413 12.7327648336485 12.6938276341596 13.238824534237 13.8272010524337 13.6722934600462 13.8215192163815 13.7250329988554 13.7587347662711 14.4570026877422 15.0666855074606 15.3387065505316 15.3757730689459 15.3407635920147 15.3146394448932 15.0614225028346 15.1061501944147 14.9457502009431 14.8746997550234 14.9057340932743 15.0638782998785 15.1924243568286 15.6058131631545 15.5508506419598 15.4907501095919 15.4626565489562 15.4103680465441 15.3294397298379 15.368956718876 15.5331038383625 15.6536116689341 15.8712450782862 15.9668131037564 15.9223388116345 16.0752898528839 15.9811495731086 16.0407537532731 16.5491355660002 17.3923899736724 17.3305498325012 17.3328944101003 17.6748265075169 17.7147892321585 17.6220593737422 17.6785943688731 17.5737419763647 17.5462926620904 17.6942675104239
Euro area EMU Medium and high-tech Industry (including construction) (% manufacturing value added) NV.MNF.TECH.ZS.UN
Euro area EMU Manufacturing, value added (current US$) NV.IND.MANF.CD 1206142706372.43 1281356121710.59 1122867131422.5 1172315968807.7 1352685464116.42 1337397835215.45 1226405338312.67 1263116963768.65 1230745168837.75 1128612747009.71 1129316483275.92 1194215860593.68 1433827264327.78 1622030671745.25 1652760179320.85 1747705183129.98 2016058033340.43 2124387094593.43 1757270766064.63 1801221189704.44 1980174096422.1 1818910272630.72 1889485547580.33 1955589522459.45 1761468129546.34 1819863957265.05 1920173833214.87 2056741673712.12 1956264493600.18
Euro area EMU Imports of goods and services (% of GDP) NE.IMP.GNFS.ZS 19.7815123881592 19.4745397839975 19.4701508119883 20.7748717705052 24.7660788175811 22.4090100463491 24.1210129614034 23.9036554076845 22.8505398698211 24.756058833085 26.8764732935695 27.8387640422035 27.486129834088 26.8915612637817 28.0741506512945 28.229948859163 24.4343016124513 24.4920508719293 25.1499170970722 26.7135638519764 26.4528514633343 26.4680089472689 25.8601288249703 24.4180636636086 25.6199673731925 27.0475706806392 27.2800146897173 29.0722385450344 29.8523923452625 30.5594748884036 34.6835712656947 33.9371525742765 32.2508695183145 31.7832125064952 33.0987232568013 34.9386605830864 37.19733919826 37.9913040901275 38.7032998226114 33.3103528188037 37.3971409360293 40.0806525683517 40.2555068611634 39.7392581113136 39.9631907955822 40.4210314067337 39.7799001657812 41.5022651078969 42.3795168084794 42.3720439435724
Euro area EMU Gross fixed capital formation (constant LCU) NE.GDI.FTOT.KN
Euro area EMU Gross national expenditure (current LCU) NE.DAB.TOTL.CN
Euro area EMU Households and NPISHs Final consumption expenditure (constant 2010 US$) NE.CON.PRVT.KD 2837735279400.37 2981113272985.07 3133601666187.43 3296441743838.5 3370476143283.81 3447449849716.46 3612191086838.34 3733010849685.39 3847266900457.42 3992788025991.24 4082498722006.52 4102521195878.35 4134249645854.5 4171880221234.33 4225968443073.59 4315450636391.88 4466992716558.02 4628169754229.01 4790812138052.09 4967247151850.15 5127183870901.66 5266591851592.35 5371351668822.7 5330716216599.83 5416052228159.42 5513488837078.62 5628620924078.47 5739268314527.46 5926571107368.84 6126252162197.19 6306388079385.97 6423590513739.65 6474565962914.9 6551269681092.1 6666160348988.47 6798676635432.74 6938347308589.26 7064936474985.3 7083618549110.5 7004961362338.05 7065952112138.68 7072629907153.86 6998517909255 6954013073015.86 7016347828071.25 7146995136481.11 7291134545331.45 7422329972638.65 7530745852390.79 7628684679301.37
Euro area EMU Armed forces personnel, total MS.MIL.TOTL.P1 2235400 2478000 2449000 2316000 2226000 2152000 2159000 2375100 2364050 2236160 2179920 2083770 1894300 1907500 1926000 1863400 1817512 1836262 1772262 1755262 1750362 1600389 1636093 1563430 1536150 1518650 1493200 1479480 1480450 1445000 1449660
Euro area EMU Fixed telephone subscriptions (per 100 people) IT.MLT.MAIN.P2 5.02031569154491 5.02712681778808 5.02808858401735 5.02917368202908 5.03043351072758 7.13897106039517 7.14565033394354 7.1463437601417 7.14708194463097 7.14762007652531 10.5977328243631 10.6046605799958 10.6013531631122 10.5971961904855 10.5926531039353 15.8108408943991 17.2642981573363 18.9625907818343 20.7937459381177 22.6579329800184 24.5169739078822 26.2140831614059 27.7178029659305 29.1373316355164 30.5334991010342 31.7020823849179 32.9291468785243 34.150879954604 35.5666050753653 37.2323466286622 39.5018443702815 41.1153432245003 42.6942293335392 43.9872506384805 45.3204794595776 47.0439678547965 48.3588238194143 49.6120012007363 50.6750609172348 51.5325955518084 52.6640117990091 52.7531881104449 52.8117187233627 52.2440164000618 51.7854315070577 51.613669674435 51.8732879699343 49.9919047470811 48.8284481189717 51.6097591089681 51.0046164857632 49.9532098606421 48.8259629353396 47.696873671085 46.705453243438 45.9971412481464 45.8391440808679 45.4175610547428 44.4298800564095 42.9877751663242
Euro area EMU CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) IQ.CPA.TRAN.XQ
Euro area EMU CPIA quality of budgetary and financial management rating (1=low to 6=high) IQ.CPA.FINQ.XQ
Euro area EMU Public private partnerships investment in transport (current US$) IE.PPN.TRAN.CD
Euro area EMU Time to prepare and pay taxes (hours) IC.TAX.DURS 223.625 213.117647058824 206.588235294118 196.166666666667 188.888888888889 183.777777777778 170.210526315789 163.868421052632 163.815789473684 160.131578947368 158.763157894737 151.921052631579 148.25 147.078947368421 146.5
Euro area EMU Time to import, border compliance (hours) IC.IMP.TMBC 2.25263157894737 2.25263157894737 2.25263157894737 2.25263157894737 2.25263157894737 2.25263157894737
Euro area EMU Firms competing against unregistered firms (% of firms) IC.FRM.CMPU.ZS 35.42
Euro area EMU New businesses registered (number) IC.BUS.NREG
Euro area EMU Subsidies and other transfers (current LCU) GC.XPN.TRFT.CN
Euro area EMU Tax revenue (current LCU) GC.TAX.TOTL.CN
Euro area EMU Grants and other revenue (% of revenue) GC.REV.GOTR.ZS 7.35520246027678 6.66592353137889 7.78078224048831 6.85366675075118 7.7252699048704 8.11401453976442 8.90357490306426 8.87048976500727 9.51811596826342 9.56535543706645 9.29404078625627 9.37190276938641 9.2522925498 9.84455667994091 10.1267495936285 9.02380719961053 9.02267859680543 9.28174685276846 8.54009747452374 9.23704497528261 8.98973528018269 7.89077985100135 7.89550272253452 7.53115770595515 6.4389351951357 6.16659098944137 6.20231011476767 6.62990487029772 7.349860638667 7.1259239882952 7.1731816502782 7.67810328325912 9.54813255765158 9.11336414955308 9.71821275126202 10.0953538973506 10.4814267424496 10.9090424598779 10.6661756704694 11.7156936662748 11.8502657592438 10.1988535965156 10.1804009196244 9.59346272415851 8.50876376310696 8.86203165926432 9.31722070919268
Euro area EMU 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 76.4113311767578 83.0240783691406 89.0931091308594
Euro area EMU Inflation, consumer prices (annual %) FP.CPI.TOTL.ZG 1.74118837163289 1.87084961406322 2.75267213268449 2.92164166264774 3.65673663873609 3.66647708569614 3.43236917511692 2.98754606695161 3.24282617991525 2.64806961420546 4.14065368808289 5.01631927705811 5.90625351724102 7.91554304509174 14.6648478944192 12.2270629206871 9.71142110935913 9.76746473607034 7.57371223949732 8.46533490414879 13.5400697127799 11.5097558377123 9.58492764677443 8.66927159808515 7.06765638328174 5.19562195429434 2.53852591781416 3.15940764053431 2.70081527508111 3.76548048283393 3.44831217961809 4.04703681637387 5.16378465389059 4.56907088464655 4.12992181638256 4.22281614099486 2.97892486481268 2.1092456273948 2.22770732654317 1.66345995007714 2.85303039287156 2.78516542713555 2.46532319171164 2.09847219146922 2.22567916428892 2.48769665164086 2.66631494577072 2.45396528138739 4.07566076368221 0.368041997888919 1.52551602118248 3.28944939564212 2.48567352860068 1.21999342274305 0.241047429826773 0.0375143805125363 0.183334861123848 1.3814587140721 1.70349794744475 1.4456670146976
Euro area EMU Bank liquid reserves to bank assets ratio (%) FD.RES.LIQU.AS.ZS
Euro area EMU Annual freshwater withdrawals, industry (% of total freshwater withdrawal) ER.H2O.FWIN.ZS 96.22
Euro area EMU Rural population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.RU.ZS 1.51591866666608 1.54408819979068 1.48984049748545
Euro area EMU PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) EN.ATM.PM25.MC.T3.ZS
Euro area EMU Agricultural methane emissions (thousand metric tons of CO2 equivalent) EN.ATM.METH.AG.KT.CE 0 162131.487625434 161677.824583441 162454.516047584 166755.980385123 170415.314742084 171037.275987246 171241.364163069 172848.663368001 175717.698079195 177509.087750353 179595.830128843 179391.052063931 181138.043511223 180730.247961356 184241.870291505 183768.923153835 184918.250734717 181260.252559635 180903.3272998 180807.8807391 182115.997816979 178073.930232429 171545.730419798 166097.425455175 162852.484575751 162324.044937711 162191.401800661 162269.741153384 159961.970349427 160042.426943098 158866.386835454 157678.424788231 155733.381910975 153621.016262743 152001.278364259 151420.016803921 150105.285454135 149354.030449776 148311.172618371
Euro area EMU CO2 emissions from gaseous fuel consumption (kt) EN.ATM.CO2E.GF.KT 55714.8792840531 68235.0132506189 89186.8430454147 103875.774528577 139103.161867341 172127.7757493 211902.276419204 240668.572461789 262164.017299909 279268.284212758 306935.957074748 306485.251754252 321679.654871496 342004.684988589 336005.195777196 336371.361785404 305005.018190067 318566.5490162 342465.230102751 356493.817799659 332212.487710546 345937.20708189 345802.15449275 401725.180779102 417391.281119332 453517.848714259 449059.094900164 458837.958446616 456215.796089105 496497.064394592 540974.528001509 533453.73975311 555015.112971852 573742.07549125 591171.311711208 612596.66262661 618464.003062605 648646.249290375 669803.231877563 696320.228472071 694816.630578385 686750.875618126 703470.590093631 664678.499692239 712709.077885396 650587.324321832 639051.16248715 629919.286770976 550121.986330054
Euro area EMU Electricity production from nuclear sources (% of total) EG.ELC.NUCL.ZS 0.0416543018070377 0.0782310378332022 0.140972196535891 0.20168996413298 0.6655983125427 0.909368498289966 1.0449179732813 1.27475856688957 1.27852406745554 1.83691354751699 2.04732814488337 2.51759582697571 3.50942435787012 3.75376928935856 4.16033251732709 6.14836610048626 6.21386467203337 7.46787592844857 8.56983712863635 9.59544839982221 11.4084031997342 16.263342601163 17.7661118193792 20.8991002497573 26.2612580536487 30.5175971298623 32.330355899615 32.4178115810965 33.5924300890702 34.7356065277461 35.4995607992423 35.4774558834236 36.3420080509231 37.6981737119692 36.1151427455946 36.4133442329235 36.9365519521637 37.0684737119602 35.7381475897781 35.8885781544349 35.8575530887109 35.5892353746016 35.6645028301804 34.7337998391196 34.3073028396508 33.7891869790303 33.2746180281774 31.3690984711518 31.569902867001 31.0679126877902 30.66085386228 30.5313703488211 29.2165841133882 29.0527878168844 30.099439847197 29.0481784170156
Euro area EMU Debt service (PPG and IMF only, % of exports of goods, services and primary income) DT.TDS.DPPF.XP.ZS
Euro area EMU Net official flows from UN agencies, WHO (current US$) DT.NFL.WHOL.CD
Euro area EMU PPG, other private creditors (NFL, current US$) DT.NFL.PROP.CD
Euro area EMU Net official flows from UN agencies, IAEA (current US$) DT.NFL.IAEA.CD
Euro area EMU External debt stocks, private nonguaranteed (PNG) (DOD, current US$) DT.DOD.DPNG.CD
Euro area EMU Net bilateral aid flows from DAC donors, Poland (current US$) DC.DAC.POLL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Denmark (current US$) DC.DAC.DNKL.CD
Euro area EMU Personal remittances, received (% of GDP) BX.TRF.PWKR.DT.GD.ZS 0.435085102248795 0.440409323212161 0.511059405688776 0.53302445408062 0.538950171297847 0.560793533806685 0.582123516497611 0.58813531551125 0.54959911695556 0.546052112390334 0.532593656968563 0.49840715222978 0.477108749186428 0.490836780906266 0.505473872990277 0.478668315047597 0.463702767902016 0.443669743548739 0.460278037107325 0.422148305060936 0.390792414326001 0.383316027099677 0.470437363707578 0.466670051248666 0.376260791642937 0.393403998604102 0.398196042822976 0.410055985248585 0.409316470239243 0.405762219931235 0.41761809899125 0.429994712735798 0.449753602067676 0.494358287191213 0.52835341607922 0.54895565859154 0.567956850874551 0.595466931319346 0.621787377578208 0.628339704317713 0.667017777877101 0.647033768904147 0.637649792982585 0.632217082521203 0.640728581616912
Euro area EMU Communications, computer, etc. (% of service exports, BoP) BX.GSR.CMCP.ZS 42.1203134276681 41.1614137028255 39.8119843454173 40.9558868398201 39.6764148301079 39.9296634974533 41.5769967804324 41.0122233989327 41.2320653706126 39.9215622688806 40.1116260380156 39.8764194657859 39.4339652991824 36.3671773368197 36.4558501778443 38.0646040314159 36.3482558390394 33.5888605779627 34.835604227524 36.9693038365753 36.4500345475123 36.1208657023377 36.289254101691 36.957252196487 38.0279099649871 38.5609419967237 40.9534725401125 42.2844521255961 44.0421486946499 42.9160385338005 44.7986324989613 43.1195229344456 43.5258968406829 44.2944977617445 46.525331675494 46.6040601699872 47.1354964261654 48.7422486378001 48.154287575774 49.9433482767494 47.4086221737051 47.5301918037845 52.0826922694555 14.3107173580163 14.1299077370076
Euro area EMU Current account balance (BoP, current US$) BN.CAB.XOKA.CD -25866972479.8139 -83833383658.8232 -24223902231.2352 44579556206.1366 24891688306.4586 81294164424.213 19188044538.2894 -356367033.279076 24870211054.706 -262381102813.105 -34422146719.7926 -41234454797.9797 -49623973931.8519 128223444500.552 279343103254.538 314162221164.808 322471439618.685 389638606583.197 399761134133.14 417485140366.338 353904199802.869
Euro area EMU Cereal yield (kg per hectare) AG.YLD.CREL.KG 1951.51991615521 2207.96000608397 2202.523798532 2274.63831501309 2339.34830594603 2325.8561888054 2707.6357233575 2739.58721678258 2741.74216098029 2625.48611917454 3065.707110503 3070.06055979031 3184.07784792263 3261.51104403485 3140.56900369987 2954.96662551358 3231.99166180228 3587.16999067113 3458.57958888969 3776.34473760582 3524.54087101325 3773.66545175905 3687.47581636249 4443.38055495292 4315.50014260071 4091.78160630324 4240.94689960362 4507.36025199183 4428.85347153621 4490.14127563104 4815.11176231715 4394.79758252747 4669.62174752842 4635.89699368656 4559.65846544778 5176.10340375003 5041.50899205073 5299.11146079318 5171.01354423277 5367.81008478459 5226.56766864253 5367.22409269625 4795.41299374228 5869.79970973754 5222.6854659814 5245.31660835194 5318.52594046419 5772.39815894691 5692.45689157333 5511.31073295583 5618.27410053087 5588.31451003717 5839.81730497113 6098.08759522874 5990.0200313079 5445.36991773656 5605.05668532089
Euro area EMU Urban land area where elevation is below 5 meters (sq. km) AG.LND.EL5M.UR.K2 24362.8647766 24362.8647766 24362.8647766
Euro area EMU High-technology exports (% of manufactured exports) TX.VAL.TECH.MF.ZS 15.7860873829963 15.5047659157352 17.065682093744 17.0522147759739 16.3195884964062 17.0114821601665 17.0024739540232 17.0627552046413 17.7882179828207 18.0972531158121 16.4251823437971 15.9226317899985 16.5786744222338
Euro area EMU Merchandise exports (current US$) TX.VAL.MRCH.CD.WT 34255.339441312 37307.1705772205 39291.7623904903 42921.7284498556 48574.6032569888 54339.0479616312 59977.2721761622 64405.1320480176 73081.6637745165 85491.8426772579 100631.539678659 115195.355693927 141478.518822308 195898.708527582 259775.292273258 277917.233789452 309020.441883964 356178.445533184 429963.337752607 539270.282189104 600132.224764707 558434.384281468 540830.006816909 527500.221486213 544197.389178096 571533.141036514 719412.84185733 864375.947781642 960017.270226253 1027555.37515382 1254985.53986737 1238271.46764556 1325284.71801612 1234834.05417139 1404414.99368828 1737074.80215394 1790206.73813375 1760671.079798 1863097.31783757 1859640 1925922 1954834 2086206 2505671 2981524 3197115 3576202 4222939 4670717 3633295 4044115 4718123 4515082 4674842 4758394 4139154 4162776 4563195 4996496 4830207
Euro area EMU Computer, communications and other services (% of commercial service imports) TM.VAL.OTHR.ZS.WT 31.4162656225881 30.2441996484919 30.6012153052065 30.6450435505445 30.184193374312 31.214741644628 32.4235975138993 34.1899296525309 34.1326533555095 33.3519169724276 33.9848210279138 33.7786104661742 32.9233361064302 31.339666781795 31.6240265921529 33.6183984125016 33.1498709567655 31.808067246172 34.522169842029 36.6513436839599 36.8394949474205 36.798215736571 38.3049968039758 39.9588189212808 42.9076949942597 44.5359432894547 46.2914036463384 45.6152154644038 45.6029190885633 46.5809727838328 47.0783717995231 47.1377542698254 47.3869987415002 47.3202262025358 49.2743739757231 48.1829417075628 48.4728514422041 49.7389608551026 48.4670020373824 49.5727721898621 51.9771905909245 51.8028742013601 51.5499207494209 51.6217794148113 52.0262550022398
Euro area EMU Manufactures imports (% of merchandise imports) TM.VAL.MANF.ZS.UN 53.5957563696938 47.7006191855215 48.3637513976247 48.5959298996251 50.272570795709 50.9376515673472 53.0215179202064 55.2117450550027 56.2420165736578 59.04600955025 57.5354748921293 56.4905736128339 50.373734188909 51.9367131526474 52.2283781125605 53.955494676951 56.4795797513538 55.068856133919 52.3229694042048 50.826859750541 51.7768752774297 53.1229062350634 53.7446630361366 55.5646380764619 64.7782766007212 67.8057635360078 69.5805028014641 69.8460318501686 71.1458577484038 72.1130386130874 72.5601399134448 70.4885625851513 71.0169204768251 71.676503374572 71.7147903741233 72.2865820891644 75.5099394423614 76.0502023365517 71.1226226053581 72.7161926558091 73.0309454862522 72.280544752722 71.352563897716 70.4577991724231 68.7242950055081 68.552930514039 66.5084480122887 68.4427699053167 67.305955827002 65.5502268127349 63.9401134266956 64.5445129917879 66.8981872869281 70.6993650159082 72.7838652885069 71.6662163050516 70.4931752236738 71.7234419027814
Euro area EMU Tariff rate, applied, weighted mean, all products (%) TM.TAX.MRCH.WM.AR.ZS
Euro area EMU Merchandise trade (% of GDP) TG.VAL.TOTL.GD.ZS 2.72348035610443E-05 2.70680347577117E-05 2.6269215158249E-05 2.6371207469806E-05 2.66965101564287E-05 2.67900126377288E-05 2.71343210713102E-05 2.63850609303E-05 2.71401969104705E-05 2.90127970485532E-05 3.0379417613172E-05 3.02980703898856E-05 3.05546107877024E-05 3.26371632213076E-05 3.89269583981992E-05 3.5290519558771E-05 3.84161287314072E-05 3.84381091863937E-05 3.72111670901001E-05 3.9358063389299E-05 4.06599968085013E-05 4.25489009828376E-05 4.196804390095E-05 4.12859422076393E-05 4.38990136981893E-05 4.46220929744093E-05 3.87879220883908E-05 3.81716578121325E-05 3.85721206621379E-05 4.0842287646483E-05 3.9969676031634E-05 3.88154649868625E-05 3.74160929082218E-05 3.67139990264471E-05 3.95859630290588E-05 4.21748299704643E-05 4.26996814643797E-05 4.59246578120536E-05 4.74946909649003E-05 5.12807121594932E-05 5.92515197422239E-05 5.82185732068641E-05 5.63287084970484E-05 5.52547171839976E-05 5.75129060473683E-05 6.02014194513701E-05 6.38442626946752E-05 6.52965392467469E-05 6.650051242628E-05 5.58441769091252E-05 6.37129656809442E-05 6.90490560281746E-05 7.01480181410524E-05 6.89455528584498E-05 6.83997789986613E-05 6.83464688199015E-05 6.68185996888523E-05 6.96695444852265E-05 7.1137675124845E-05 7.02538654107749E-05
Euro area EMU Rural population growth (annual %) SP.RUR.TOTL.ZG -0.355680386170349 -0.387798330374352 -0.577566783636385 -0.619563113277053 -0.653903051854883 -0.74066341207272 -0.861418325856675 -0.791418349051725 -0.582127128912973 -0.692836937351998 -0.641538537585902 -0.359995148442081 -0.340009055610565 -0.379353339110963 -0.290296969588695 -0.265459872116452 -0.385095693764868 -0.390418864287298 -0.384416139914961 -0.363759428373996 -0.412774163148356 -0.24921935894146 -0.167131750374054 -0.0641524043854957 0.00998473148716528 -0.0548184068674686 -0.300128352581595 -0.212587225062137 0.0563543271621967 -0.0504917264206171 -0.104766272063145 -0.0579176121436404 -0.169443652720474 -0.355316391874894 -0.376230035442305 -0.372240869273057 -0.388153400749843 -0.412379776709386 -0.385945926952274 -0.365480094346168 -0.375833890826769 -0.422292319227083 -0.403730072301798 -0.385215091445218 -0.417578381726173 -0.455492661477138 -0.376781286477566 -0.406181606049699 -0.582578258336284 -0.691552620304961 -1.13536932596354 -0.657977042211627 -0.509090913546856 -0.485540489721473 -0.584059903044107 -0.613251405301668 -0.726837285713714 -0.757517046190259 -0.748773201083338
Euro area EMU Age dependency ratio, young (% of working-age population) SP.POP.DPND.YG 38.9152393058087 39.1870566698817 39.3274219395491 39.3766763243874 39.4159077228961 39.4732172026218 39.6648548431515 39.7903583314164 39.8585338059656 39.8642152543554 39.8074557999426 39.6104583710083 39.3420072194299 38.9896094473907 38.5331196318664 37.9682018406695 37.334675818411 36.6207911574962 35.8145095104674 34.9163877174697 33.9485453269346 33.0395421264494 32.0947283267028 31.164884324195 30.3082326936964 29.5507851270774 28.9779745858788 28.4577926315235 27.9889930115161 27.5599151899675 27.1654981993794 26.8483469176749 26.557851557972 26.288394849307 26.0260426584152 25.7565256184424 25.4726863347985 25.1964066816846 24.9235860220703 24.6610462792594 24.4202991814608 24.2058341323867 24.0001037377048 23.8111170600911 23.6438525721938 23.4941241076531 23.445321041683 23.4012850021939 23.3633877011924 23.327575870812 23.2874775925352 23.3759854062643 23.4064636756157 23.4069839724964 23.4028090653469 23.4052123626538 23.3922861335781 23.4026751366223 23.4226059942755 23.4255644726917
Euro area EMU Population ages 65-69, male (% of male population) SP.POP.6569.MA.5Y 3.25019814564167 3.28547579889071 3.34543358668921 3.42426976874929 3.51655096906284 3.6209163237154 3.70784884509737 3.80858064263824 3.91438802731903 4.01315499812277 4.09549153339717 4.12008261941605 4.12912504765856 4.129716766135 4.13103501496901 4.136137511876 4.12043378364991 4.12267843177496 4.11577731565655 4.05755058916595 3.92883346265095 3.7102149990578 3.42145325724607 3.13763427169362 2.96553978837041 2.9591852477638 3.07079609578877 3.32077631825923 3.64133091664799 3.93907133780461 4.16384806750396 4.29921065670729 4.38357315997267 4.43461522743859 4.47659131215702 4.52223219419337 4.54468898992471 4.56114440684394 4.58117377247223 4.61730805679067 4.67537175939885 4.72010039712559 4.79170520820316 4.86958555796058 4.92412075203459 4.94038580488902 4.90536415302201 4.83334643565877 4.75666438326825 4.72165123600234 4.75264846344958 4.82197391655371 4.9561694956269 5.11932938377495 5.26486698065206 5.36751866968737 5.41163150656907 5.42634013019476 5.42975425014039 5.44917888380098
Euro area EMU Population ages 25-29, male (% of male population) SP.POP.2529.MA.5Y 7.57402022930958 7.58098174856301 7.6108906678553 7.63863896032078 7.62532292197588 7.5535883820065 7.4348828563239 7.26174391015535 7.07720928951783 6.94595983309176 6.90088286436143 6.95919416286218 7.10350324478104 7.2916086185229 7.45828994020044 7.56492372144053 7.60909794682453 7.5979694410779 7.5569457313511 7.52879491721823 7.54054969941021 7.59295473885639 7.67262613258462 7.77318655200022 7.88429809342786 7.99849887845699 8.1111516528152 8.23078087707684 8.34334476945057 8.43032446120646 8.48001477518759 8.50415185380709 8.49340464211998 8.44749966003438 8.36875778912857 8.26108931898231 8.12111790132558 7.95383390539524 7.77184580644764 7.58991491319654 7.4170927822108 7.28101842033555 7.15707886904207 7.04671244501892 6.94895523443406 6.86228669220885 6.78406869889362 6.72572463245386 6.67984826565436 6.6364174753964 6.58826990229877 6.51177292333816 6.4320268792834 6.34985842332379 6.26767410826122 6.18720083109664 6.12714136982961 6.06312046679605 5.99737292581648 5.93427402159937
Euro area EMU Population ages 0-14 (% of total population) SP.POP.0014.TO.ZS 25.1573774129151 25.2445179916966 25.2704542478046 25.2535575738308 25.230732602897 25.2135306924328 25.24481783586 25.2453037964126 25.219416861317 25.1652058440194 25.0847840253557 24.9357776381125 24.7605530429425 24.5521596556021 24.2993435224517 23.9991543261604 23.6489778640985 23.2610743416003 22.8361737237424 22.3839254048089 21.9175235937192 21.4834858307882 21.0489056045245 20.6229391315269 20.2154470065781 19.830897146529 19.5078491303262 19.1928393931129 18.8927497005601 18.6121284265499 18.3544056731424 18.1329842888287 17.9300938382146 17.7420014368748 17.5598819730381 17.3748504215073 17.173019040772 16.9790872430016 16.788602334506 16.6025849979399 16.4258463364853 16.264218077313 16.1056988246682 15.9567295327157 15.8237138537262 15.7060953419735 15.6412682918964 15.5859598372674 15.5363899625542 15.4839575494655 15.4209188775965 15.423809375993 15.3860882498342 15.3261554129473 15.262591589977 15.2044182910846 15.1471598817699 15.1046642743205 15.0682568474805 15.0210869245691
Euro area EMU Life expectancy at birth, male (years) SP.DYN.LE00.MA.IN 66.6388689351614 66.9537517469471 66.8646293066672 66.9783087878402 67.388075437795 67.4438092672275 67.6960274350651 67.7950500287198 67.8007537173806 67.7516984194115 68.1034265063169 68.152862300454 68.4786058640657 68.5534639824263 68.8281785640839 68.9109501415668 69.1435470524111 69.4599865173221 69.6642114422393 69.9629681742886 70.1477061952819 70.416979006004 70.7687399200309 70.8486697782673 71.1745839735678 71.3638105236557 71.6908060737349 71.9582072838779 72.1404887216672 72.3492299514797 72.5005389479974 72.5722111922597 72.9195078966919 73.0715827322339 73.3791796012912 73.551641124618 73.8662791052589 74.2967268115929 74.5534164910691 74.8095552493573 75.0944333853774 75.4616002451117 75.6055978266981 75.7206327222279 76.2733358174449 76.4551800783766 76.8824328836816 77.1710170989303 77.4570605413674 77.6751243399783 77.9374065283913 78.4126718481319 78.4904826502482 78.8218810395346 79.2697992113673 78.9903296387926 79.3613319072773 79.4339855113359 79.5518671653157
Euro area EMU Prevalence of moderate or severe food insecurity in the population (%) SN.ITK.MSFI.ZS
Euro area EMU Share of youth not in education, employment or training, total (% of youth population) SL.UEM.NEET.ZS 10.272647243765 11.478674381916 12.6048861546409 11.5425938539501 10.9479619029027 11.055606504215 12.6943646764494 12.8302659110907 12.7840716962827 13.1262917070722 12.8713862297401 12.5079060559818 12.1246802363974 11.6202533187233 11.1051414094341 10.5585514472233 10.1385647369525
Euro area EMU Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.FE.ZS 21.1702496298399 22.0835215776916 25.3065331656316 26.9827133377309 27.6791809726196 28.1512297993103 27.806975177225 25.5869087988992 24.4311209123989 21.631761151525 19.2156335940926 19.4244868219081 19.1483298214224 19.5980454430549 20.0897572667294 19.1370167083116 17.3907848283451 17.3566754249326 21.0541642704493 22.3918798280174 23.4890915505141 25.8940779719876 27.3116788160053 26.8896862072401 25.3199630090129 23.9149408284788 21.462174918806 19.4653035323764 18.2494712354428
Euro area EMU Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) SL.TLF.CACT.FE.ZS 42.1873935590059 43.0989382311977 42.9202603562984 42.8747661433353 43.2867382252509 43.4610227142283 43.7911559553743 44.0978640403317 44.4852107947814 45.1194315390467 45.4604064531994 45.4384672061109 46.1070240358946 46.8187307755884 47.19688120341 47.6760460865156 48.1812095985454 48.6223366941941 49.0795640154582 49.3618913478704 49.5476559118393 49.7668386141723 50.1886098102512 50.3290915389637 50.3425472476972 50.3522235021384 50.607013778457 50.7366798985814 50.8888411224641 51.0765094528774
Euro area EMU Labor force participation rate for ages 15-24, female (%) (national estimate) SL.TLF.ACTI.1524.FE.NE.ZS 45.8030075783891 46.4664659778832 48.7107304872565 48.3877320685523 48.1700454692248 49.0102457463173 48.8162478127961 48.2911425840878 47.8598331348645 46.4319093479091 44.361812265676 42.6645763921783 41.6141117948459 40.6994663721968 39.5300162734583 39.0293195041544 39.4898939490924 40.4716110601612 40.642038240243 39.9996231408009 40.0188409006475 39.9395680476442 39.59914331952 39.914272363619 39.926598399076 40.5350905854655 40.645313889831 40.1709784879089 39.2512019334362 39.1374385363965 38.6674516825641 38.399303077761 37.6160537531259 37.3610061166167 37.3694104261039 37.4721403712257 37.34377038532 37.5064052907108
Euro area EMU Employment in services (% of total employment) (modeled ILO estimate) SL.SRV.EMPL.ZS 59.4340499508727 60.0999102250416 61.071838024287 61.7228466561273 62.222200299834 63.0180554660582 63.3850619048075 63.5476509412927 64.2031839740334 64.6981445825001 65.0976780634758 65.6191429013413 66.3568884518999 67.0036080698016 67.5959132043206 67.8854750508835 68.2303331767823 69.2484955438671 70.3984311126814 71.1384630004722 71.561573402417 72.0268631257041 72.6121921024601 72.8762509718783 73.0677735857131 73.2835918240681 73.3284125956138 73.4370469488699 73.5651597940522
Euro area EMU Contributing family workers, total (% of total employment) (modeled ILO estimate) SL.FAM.WORK.ZS 2.87797904740316 2.79141370422748 2.73889643998268 2.69903721485927 2.5921723543549 2.39591971464117 2.29626510691414 2.19107586495443 2.03567443957239 1.8786371273518 1.86360626117245 1.74715294905381 1.68474221958144 1.58372354004272 1.47523732102531 1.3810957605813 1.29232988038338 1.18118952372977 1.08659281856623 1.03211704642052 0.977372579349991 0.890820914695846 0.848634495113165 0.825517604085566 0.766317396439956 0.720953845858875 0.670398116177347 0.616193416157729 0.587703718412911
Euro area EMU Employment to population ratio, 15+, female (%) (modeled ILO estimate) SL.EMP.TOTL.SP.FE.ZS 38.4046692739107 37.9721400814427 37.2897948205309 37.1739066446582 37.3790047300647 37.6419179488624 37.9443314465778 38.45973717821 39.4117779126729 40.2494294389975 40.9280233878591 41.4954011806948 42.071715999305 42.2908881031058 42.844743735632 43.6330708940829 44.5014635184482 45.0184898270645 44.5658095507231 44.4663507611373 44.6076071379894 44.4379064355454 44.2614116813902 44.4079435341213 44.7955716647982 45.35639618563 45.942846548425 46.5274762304683 47.022888025255
Euro area EMU Employment in agriculture, male (% of male employment) (modeled ILO estimate) SL.AGR.EMPL.MA.ZS 7.71686815602509 7.52233771726226 7.24650886443513 7.16484991419859 6.86376146671148 6.75366836042762 6.69968160289289 6.4652656431479 6.22592603262028 5.97014811129709 5.85343920560267 5.75786034779544 5.72746365823792 5.36276033294938 5.27999782168419 5.18987283424642 4.94186528081111 4.34876015889737 4.44878949776627 4.47338343021678 4.37371386257962 4.40736929094549 4.39901898554158 4.32630678647737 4.21629186713931 4.21903972664098 4.07521698094836 3.98324128147498 3.92754821167534
Euro area EMU Multidimensional poverty intensity (average share of deprivations experienced by the poor) SI.POV.MDIM.IT
Euro area EMU Income share held by fourth 20% SI.DST.04TH.20
Euro area EMU External health expenditure (% of current health expenditure) SH.XPD.EHEX.CH.ZS 0.00105013265793077 0.00112028116299679 0.00132897004428543 0.00141545129435914 0.00193104416037285 0.00175485848496088 0.00168356141138614 0.00189165614039567 0.00183860786935133 0.00267037524236526 0.00426975957108742 0.00710946543110819 0.00864122023467249 0.0182170490089961 0.0234912286774519 0.0280268257590842 0.0109756157497295 0.0102993478228865 0.0103131452772887
Euro area EMU Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure SH.UHC.NOP1.TO
Euro area EMU Prevalence of stunting, height for age (% of children under 5) SH.STA.STNT.ZS
Euro area EMU People practicing open defecation, rural (% of rural population) SH.STA.ODFC.RU.ZS 0.134505676314226 0.134828990186466 0.134039256959963 0.133003989527797 0.131759171382025 0.130583691598514 0 0 0 0 0 0 0 0 0 0 0 0
Euro area EMU People using at least basic sanitation services, rural (% of rural population) SH.STA.BASS.RU.ZS 97.7212972877494 97.7728148336905 97.832487833309 97.8878319156813 97.9368319203691 97.9878717820404 98.2000105954736 98.2456215127802 98.291068931224 98.3361221389742 98.382988526512 98.4274043400173 98.4716205292359 98.5136652270218 98.5497670819856 98.5831959459421 98.6169025488666 98.6395644746831
Euro area EMU Children with fever receiving antimalarial drugs (% of children under age 5 with fever) SH.MLR.TRET.ZS
Euro area EMU Adults (ages 15+) and children (ages 0-14) newly infected with HIV SH.HIV.INCD.TL
Euro area EMU Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%) SH.DYN.NCOM.MA.ZS 20.2978735075133 17.7437536037562 15.9728104811339 14.803027099512 14.3930355569516
Euro area EMU Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) SH.DTH.COMM.ZS 4.91016466993185 4.88594828336673 5.61378416220455 5.76726199691305
Euro area EMU Women who believe a husband is justified in beating his wife when she goes out without telling him (%) SG.VAW.GOES.ZS
Euro area EMU Expenditure on primary education (% of government expenditure on education) SE.XPD.PRIM.ZS 32.64218 36.93075 32.6941 27.88739 25.37021 25.883455 28.063685 28.75489 26.83698 25.790715 23.61317 25.143075 21.706075 22.696595 23.0686 23.897695 24.74689 23.52319 23.61022 22.8515 23.708705 21.76347 25.75717 24.937585 25.05577 24.079515 25.309675 25.145475 24.97795 24.72651 24.964005 25.25887 24.547465 23.86188 23.878595
Euro area EMU Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.MS.FE.ZS
Euro area EMU Trained teachers in upper secondary education, female (% of female teachers) SE.SEC.TCAQ.UP.FE.ZS
Euro area EMU Secondary education, vocational pupils (% female) SE.SEC.ENRL.VO.FE.ZS 42.72961 42.70775 42.68071 42.88885 42.62223 43.47562 43.80239 44.03923 44.32085 44.0083 44.98941 47.52798 44.96541 45.73413 45.52308 45.75936 46.19759 46.14311 46.20174 46.14392 45.77217 45.86179 46.22879 46.29228 45.57593 45.56884 45.74448 45.56745 44.13165 44.25401 45.14815 45.37676 45.28096 45.21797 43.75203 43.93755 43.49924 43.54469 43.50152 42.7898 42.95827 42.84517 42.76873 42.83162 42.5812 42.34748 42.21017 41.88471 41.89468
Euro area EMU Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.LO.ZS
Euro area EMU Primary education, teachers (% female) SE.PRM.TCHR.FE.ZS 72.4964 72.54527 72.6058 73.01553 73.34086 73.74125 74.05728 74.38227 74.29524 74.05497 73.98211 73.71667 73.71267 74.66476 75.94051 75.89808 76.10751 76.30947 76.2777 76.72184 77.39063 78.18684 78.93983 79.38427 80.91758 80.69826 79.93342 80.04642 80.11155 80.2739 80.85799 81.47672 81.60292 81.91026 81.97549 82.36515 82.691 83.01227 83.70894 83.63355 83.92566 83.85772 84.09794 84.41023 84.63677 84.69064 85.00365 85.11677 85.16976 85.1812
Euro area EMU Over-age students, primary, male (% of male enrollment) SE.PRM.OENR.MA.ZS
Euro area EMU Primary education, pupils SE.PRM.ENRL 25100000 25500000 25700000 25400000 25500000 25300000 25000000 24700000 24300000 23900000 23400000 22900000 22300000 21700000 21300000 20900000 20700000 20400000 20200000 19900000 19600000 19300000 19000000 18900000 18800000 18700000 19200000 19000000 19100000 18900000 18700000 18400000 18100000 17900000 17800000 18000000 18000000 18200000 18200000 18200000 18100000 18100000 18000000 18100000 18100000 18300000 18300000 18500000 18500000 18500000
Euro area EMU Preprimary education, duration (years) SE.PRE.DURS 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 5 6 6 6 6 6 6
Euro area EMU Coverage of social insurance programs in 3rd quintile (% of population) per_si_allsi.cov_q3_tot
Euro area EMU Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) per_lm_alllm.cov_q3_tot
Euro area EMU Net secondary income (Net current transfers from abroad) (current LCU) NY.TRF.NCTR.CN
Euro area EMU GNI per capita (constant 2010 US$) NY.GNP.PCAP.KD 17805.9516914562 18270.1624861979 19012.4438384327 20052.6078195632 20611.8955378044 20278.5469631559 21197.7347163828 21740.7706987063 22310.9623707041 23100.5873082744 23500.9499823352 23461.5713532967 23537.9933926482 23829.661482593 24370.4306690063 24916.8875312746 25513.5368101169 26161.7825900935 27225.1591199089 28214.5687305224 29054.4178525781 29631.5605597769 29880.3493870607 29591.7286910352 30102.3782766966 30794.6194038197 31289.1177163653 32054.5956477612 32872.2290960462 33834.7007898153 35009.4513666809 35533.4509782413 35562.771814064 35627.288579016 36405.1994752963 36837.5077440238 37971.9999725835 38790.2462470571 38603.556902083 36987.9088574859 37713.2754575294 38486.5963043543 38116.6870274028 37910.7016892212 38240.5212390741 38766.1821205269 39473.1361872014 40454.5472684302 41173.8651973322 41628.1437567745
Euro area EMU Total natural resources rents (% of GDP) NY.GDP.TOTL.RT.ZS 0.204840881441578 0.19267177937508 0.174914484548472 0.21431564146476 0.347095645936819 0.481786104465638 0.513094216071239 0.438182068680255 0.353527184780639 0.427304225340735 0.503219088358045 0.564096265087893 0.491757461097726 0.46257683218665 0.41454769157448 0.431540567504068 0.227659713470782 0.152682862105664 0.161442458755784 0.193344633399628 0.192147336793693 0.124194922967604 0.0958861127684515 0.100075889396082 0.0886285618300826 0.0914798200860323 0.102272701325242 0.09551398041915 0.0631965215961704 0.0619092229663181 0.126471336416945 0.165804882807563 0.133903208181094 0.120367663264694 0.128336791678645 0.128960820017196 0.177823647829675 0.181412048432279 0.250403098764103 0.169963405862442 0.197350875794747 0.242448150011891 0.233223470210662 0.207961548451351 0.162721809766067 0.115835525546862 0.0929414259340382 0.109517755843074 0.123371252048273
Euro area EMU GDP (current LCU) NY.GDP.MKTP.CN
Euro area EMU Adjusted net savings, excluding particulate emission damage (% of GNI) NY.ADJ.SVNX.GN.ZS 13.1867019310202 13.4899239580075 13.170386206531 13.7014244877991 13.4221084762025 11.4006257222194 9.24258401039976 8.75135272452723 8.89495428170998 9.41747235442323 9.55848537634385 10.9209045523156 10.6410277146005 11.7216977729798 11.9091872290223 12.06707421989 11.1690628260619 10.721795957428 10.1525281106604 10.5062310702989 11.5263011090637 11.2411928650823 11.858885076569 11.9808648964979 11.7051734816738 11.2525800204462 11.1219549753172 10.8338412312237 10.3978265559213 11.2092110038907 10.8761436457626 11.5768443305692 12.2107556519747 10.650579444194 7.85077090644389 8.32484279745232 9.07388917068454 8.54381546266024 8.57992803867724 9.29891323062159 10.032441542547 10.5671933944628 11.1613250789618 11.27323611513
Euro area EMU Adjusted savings: energy depletion (% of GNI) NY.ADJ.DNGY.GN.ZS 0.0492221470758121 0.0554791198666537 0.045805168582885 0.0432639085375658 0.129621039252354 0.222366641129759 0.241038447159213 0.208440206381388 0.167758116493392 0.217708651634419 0.248462226092593 0.25330112119942 0.194274266962321 0.234301239291071 0.222443221048892 0.222218869411129 0.108449078060218 0.06711898487023 0.0524286002967572 0.0677133038227436 0.0775820717362882 0.0573107421950252 0.0427409801267605 0.0442568617660508 0.0330936833698041 0.0311837570583292 0.0400620603746602 0.03752755604365 0.0153985675773543 0.016039670139027 0.0558567964214486 0.0853884245473245 0.0674865078582711 0.0587115297105509 0.0593898459725118 0.0641809145259008 0.0892360797309472 0.0818740028241584 0.127343250178616 0.0891173494490362 0.0912539982029974 0.121350360558664 0.129243214270311 0.117705407191701 0.079528243178029 0.0452227473455995 0.0281889767399698 0.0378559812091525 0.0480119250984137
Euro area EMU Services, value added (current LCU) NV.SRV.TOTL.CN
Euro area EMU Manufacturing, value added (constant LCU) NV.IND.MANF.KN
Euro area EMU External balance on goods and services (% of GDP) NE.RSB.GNFS.ZS -0.736971209730815 -0.37212405621969 -0.1296890735792 -0.634414307876465 -1.93541328927489 -1.01293187278689 -1.85871231885971 -1.29491113071126 -0.363946947181439 -1.32701840666701 -3.14913627052301 -2.47867422671342 -2.08112556636852 -1.1749668115326 -0.550505980382464 -0.439367602829535 0.452512069544468 -0.211554130559801 -0.362831152963405 -0.707154993192511 -0.608920699565569 -0.536265298929987 -0.235628933878758 1.14818026449205 1.34653878510941 1.49185058078481 1.66166604335588 2.07011915796887 1.75755515594064 1.21954509113776 0.673865656529685 1.33895853686717 2.32584137892523 1.90493259973649 2.11666664524087 1.58975180913517 1.30532261460394 1.56144321485731 1.20959574405152 1.68130454183359 1.47979952950222 1.50541778952826 2.80550876855545 3.37278361864603 3.63776736815679 4.07679620874293 4.12184381342632 3.93018406671661 3.61561413527752 3.44266273401653
Euro area EMU Changes in inventories (constant LCU) NE.GDI.STKB.KN
Euro area EMU Exports of goods and services (current US$) NE.EXP.GNFS.CD 121448693030.142 137743039778.25 169090811625.991 229077995483.262 299062327988.411 323782393152.718 353814250338.956 408671021105.617 495989097054.625 620479722428.253 704751503167.147 652987587178.306 630347819690.824 618285277966.401 631146707326.199 654897105461.791 823378718111.344 989581237813.119 1106800226304.94 1182370636164.62 1467215879455.72 1518034724301.28 1651732762708.24 1520151447235.76 1698085701717.47 2082879330596.71 2136110591306.53 2113260661567.93 2216806476250.39 2230954449022.95 2275679388451.77 2316196596294.6 2475846842338.52 2974862017758.91 3567795583307.81 3843916664661.36 4310727623719.43 5109120945625.19 5653703379355.02 4531480956005.68 4947589229825.66 5727167185254.49 5526265586773.76 5790742912318.01 6019045039546.13 5380530798077.56 5454238289383.82 5990706468525.54 6577211368968.93 6429389958646.07
Euro area EMU Households and NPISHs Final consumption expenditure per capita growth (annual %) NE.CON.PRVT.PC.KD.ZG 4.47639855060504 4.41004108627436 4.53044387005413 1.66554723728251 1.75689993815907 4.31053289236371 2.9325920301679 2.64419923593266 3.3569343725663 1.80771611361025 0.106528572381961 0.498042704150393 0.707177200251465 1.12673554233102 1.92427281185215 3.25408336260502 3.32252781925327 3.16923876615772 3.2406849663636 2.74727381636724 2.24416025887022 1.51713979513599 -1.16143802991297 1.30612386053208 1.53756666460751 1.82444252424023 1.72309062190601 3.04622240146438 3.10299435296957 2.60339175898258 1.4678090691315 0.303021424328804 0.638033489474623 1.19584457411716 1.46216131184553 1.57872306106117 1.29725725385458 -0.224346613623325 -1.43069274942702 0.633443266559581 0.312898049315294 -1.2655653494038 -0.972604603026682 0.550554134463255 1.55414716659392 1.71914415817997 1.59592830130038 1.2589754479303 1.07741392173418
Euro area EMU Military expenditure (% of GDP) MS.MIL.XPND.GD.ZS 3.82079528090119 3.73484509535656 3.75078981469412 3.5517202943255 3.46812304029474 3.3371701402169 3.36727034093017 3.33724724621342 3.3012978295104 3.04793396623524 2.87287254516619 2.87750708383862 2.92660567595355 2.83686505214564 2.86696309131403 2.90194156185055 2.82702800240415 2.83820709096147 2.81675363460338 2.78511529457297 2.74151001171761 2.82353646885536 2.86311735201263 2.84100886829009 2.77226098489459 2.7170539489827 2.64693198312291 2.65528964645434 2.5470908660573 2.44551935541335 2.37813296358807 2.18470680231972 2.0752339274317 2.00495973528639 1.92073021404098 1.79340557358043 1.7788543278523 1.7424181224178 1.70174554496995 1.6822833629171 1.65003013144964 1.60279035416394 1.58755568349141 1.58679657358329 1.57170742030901 1.53393714033037 1.48296819249642 1.44356242829481 1.48187763419121 1.5749207351817 1.50415874220514 1.44002449627659 1.42975399830618 1.37985356087352 1.33025166625782 1.30014843779008 1.33501191363685 1.34319958196177 1.34396314781289 1.38885982036125
Euro area EMU Secure Internet servers (per 1 million people) IT.NET.SECR.P6 544.031519789922 782.288710503457 1192.36958903465 1428.14996240477 1853.60716564698 2493.80553172394 6795.5212859821 19626.3641809358 30489.1989705361 42178.5408493901 51691.7874170601
Euro area EMU Source data assessment of statistical capacity (scale 0 - 100) IQ.SCI.SRCE
Euro area EMU CPIA building human resources rating (1=low to 6=high) IQ.CPA.HRES.XQ
Euro area EMU Start-up procedures to register a business, female (number) IC.REG.PROC.FE 8.4375 8 8 7.52941176470588 7.35294117647059 6.72222222222222 6.55555555555556 6.44444444444444 6.36842105263158 6.42105263157895 6 5.68421052631579 5.52631578947368 5.36842105263158 5.26315789473684 5.31578947368421 5.05263157894737
Euro area EMU Cost to import, border compliance (US$) IC.IMP.CSBC.CD 43.0526315789474 43.0526315789474 43.0526315789474 43.0526315789474 43.0526315789474 43.0526315789474
Euro area EMU Firms using banks to finance investment (% of firms) IC.FRM.BNKS.ZS 25.41
Euro area EMU Ease of doing business index (1=most business-friendly regulations) IC.BUS.EASE.XQ
Euro area EMU Expense (current LCU) GC.XPN.TOTL.CN
Euro area EMU Other taxes (current LCU) GC.TAX.OTHR.CN
Euro area EMU Net lending (+) / net borrowing (-) (% of GDP) GC.NLD.TOTL.GD.ZS 0.824892454434879 0.296332447739833 -0.411180612289642 -2.89220560335907 -1.86477256875347 -1.5994476848677 -2.28843651460341 -2.49905431257465 -2.66878419237823 -2.2876390611919 -3.00707602212982 -2.84851521199982 -2.82630590492463 -2.77617478513039 -4.10207932503075 -4.29297993643183 -3.32179752401083 -2.81648554037868 -2.13034395024666 -2.40691406770542 -2.8058067926352 -4.03500060947273 -3.71737914942638 -6.56663603421231 -3.76524216324888 -2.55826628030796 -2.10888311533467 -1.44549509073479 -1.13465413924261 -1.52719396465147 -2.14879106181991 -2.6701755647948 -2.46485793409095 -2.49198228205244 -1.56910678916567 -0.961305309931016 -1.61495838910226 -4.9030670489341 -5.13820200756736 -3.27415713799417 -2.8230016529547 -2.46955706188545 -2.0689548304828 -1.80751303373852 -1.44240759757981 -1.32438266011469 -0.819060597038472 -0.83373121818533
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) FX.OWN.TOTL.MA.ZS 92.3642883300781 95.5720901489258 96.6849822998047
Euro area EMU Broad money growth (annual %) FM.LBL.BMNY.ZG
Euro area EMU Depositors with commercial banks (per 1,000 adults) FB.CBK.DPTR.P3
Euro area EMU Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) ER.H2O.FWAG.ZS 1.2239627078489
Euro area EMU Mammal species, threatened EN.MAM.THRD.NO 99
Euro area EMU PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) EN.ATM.PM25.MC.T1.ZS
Euro area EMU Total greenhouse gas emissions (% change from 1990) EN.ATM.GHGT.ZG -0.0634265666163758 -3.23591813373075 -5.24256293497349 -5.12504605230826 -3.99304756059226 -2.25246172722007 -2.88636193735861 -4.15925587108749 -5.67157875545187 -4.53315051117377 -4.18229981663888 -3.92200302390351 -2.03096429983421 -2.12455502005382 -2.64396243704379 -3.25936620601587 -4.16134636754621 -5.62693484561328 -10.7413322697265 -10.0010699746652 -12.0958536270216 -12.4111110220428
Euro area EMU Energy use (kg of oil equivalent per capita) EG.USE.PCAP.KG.OE 1403.94284683911 1455.39167679331 1567.86300302417 1686.60032677296 1762.65016031169 1816.95048688525 1865.29086228711 1941.65592954082 2093.37632903118 2262.92043403753 2746.54085381333 2782.97687051722 2921.22792133524 3108.96143698088 3065.66886254822 2931.90462634764 3141.29354215418 3105.60054257254 3224.8054346373 3354.41004414872 3291.94186864961 3182.21356800183 3072.77253667687 3096.02655206993 3200.71058356141 3297.84866567618 3329.02951261299 3399.23928928158 3426.19705668787 3488.7850937194 3511.71487721486 3555.68882110669 3467.81439151382 3431.25239993157 3415.02311151324 3524.56346690239 3631.81179272781 3618.40632879925 3673.18128561908 3661.0880956694 3697.17794196336 3781.24248929323 3764.86865253878 3823.49659281429 3857.95846195695 3847.57909271819 3839.73336148814 3757.19925765342 3730.76650350995 3511.67365997866 3627.00557685186 3486.3572793201 3445.62283190148 3405.03872562459 3266.22790415883 3329.02561338569
Euro area EMU Electric power transmission and distribution losses (% of output) EG.ELC.LOSS.ZS 9.0111858436867 8.92426650725322 8.60692970694283 8.47252954024166 7.99583384282146 7.75908122391585 7.40899119442825 7.45355493025292 7.21885515128406 7.16689072694268 7.11210174988978 6.83196957239303 6.79038520883332 6.71240348377726 6.38263163306468 6.68874178788541 6.43386377987453 6.49104878359806 6.16058824415951 6.12201183441376 6.33020133394125 6.28672444325071 6.26208581107606 6.64109161420342 6.43681712175272 6.50130583911244 6.23618244390413 6.08616140140433 6.1355049232883 5.96574652330769 6.1887795945152 5.74750365421341 5.58722421165945 6.02043590913279 6.06522645409047 6.39107450241993 6.25689477520304 5.82243833720528 6.20424572507368 6.03513593342665 6.39594383537058 6.24943146062489 5.87605496797458 6.02585298660991 5.99274916288078 6.16062253509548 5.85965710205114 5.90707703675585 5.99676279275832 5.93761557723774 5.85566980703381 5.7410283850054 5.96822088589283 6.12827281158593 6.05720470089019
Euro area EMU Total debt service (% of GNI) DT.TDS.DECT.GN.ZS
Euro area EMU Net official flows from UN agencies, UNWTO (current US$) DT.NFL.UNWT.CD
Euro area EMU PNG, bonds (NFL, current US$) DT.NFL.PNGB.CD
Euro area EMU Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) DT.NFL.DPNG.CD
Euro area EMU Use of IMF credit (DOD, current US$) DT.DOD.DIMF.CD
Euro area EMU Net bilateral aid flows from DAC donors, Norway (current US$) DC.DAC.NORL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Czech Republic (current US$) DC.DAC.CZEL.CD
Euro area EMU Personal transfers, receipts (BoP, current US$) BX.TRF.PWKR.CD 10462299970.2436 8822352474.36795 8379386785.87774 8559204445.21447 7287770371.65063 8398478312.02396 8319698783.06913 7034108833.36627 6581227949.82808 6896242344.43357 7613062200.7881 7341502412.85415
Euro area EMU ICT service exports (BoP, current US$) BX.GSR.CCIS.CD 4074506290.15123 5194101808.64006 8499481352.11352 9398774742.12916 10726045098.5491 12683093930.8493 22110899092.7955 20231292100.3358 24077503238.7361 30025622254.5116 39129952262.5501 46614918566.5753 74470784478.888 82492027685.955 98885319302.981 120295288112.865 114475062791.435 118288390227.802 133403760268.496 137701270627.863 165081069542.021 186191548183.332 115494435923.256 123849767531.629 213327135839.542
Euro area EMU Secondary income, other sectors, payments (BoP, current US$) BM.TRF.PRVT.CD 39117559408.5044 45406894132.3053 51212344090.3497 51577627439.1318 51961129438.2538 53066161587.972 68937171220.7911 69205500644.3059 80983231195.2583 96820470556.4896 129158653493.04 142243662257.237 164777902530.329 172403691218.523 205457951205.206 227410317215.95 206091557963.273 204318390217.34 224153358688.061 194299815629.664 207466076533.075 219061462238.234 197089998863.204 192610695688.978 219625094463.144 229015024694.352 220622809728.305
Euro area EMU Livestock production index (2004-2006 = 100) AG.PRD.LVSK.XD 56.4840232699622 57.5975977958337 58.4280448170673 59.4098537951855 61.0624283473482 63.5909901557085 66.7265063491078 69.0700911575535 69.8887671461709 71.9549368883915 73.5052978230568 73.9071213039987 75.7490345073979 80.3100598892275 81.5028994574831 82.7549009271318 84.0233143911119 86.8659996171937 89.965463760273 93.1766517616349 93.9653042664305 94.347031188314 96.7854296974333 98.5778671990707 98.062260715979 99.5187641449445 99.000850111064 98.1689295513075 96.8044366558783 99.0656091529798 97.5782842573286 97.4189784055 96.7535728015518 95.7514433363996 96.7808926077669 98.315660315414 97.514749971723 99.4727826514036 100.626020686211 99.7857781799824 100.14125564125 101.191772261325 100.320951855211 100.073903885189 99.5715175748328 98.5518596705034 100.120256027856 101.769724397362 101.500512500502 103.818751270479 104.158043596721 102.979196931446 103.174905670586 103.117894256382
Euro area EMU Rural land area where elevation is below 5 meters (sq. km) AG.LND.EL5M.RU.K2 48717.026396829 48717.026396829 48717.026396829
Euro area EMU Households and NPISHs Final consumption expenditure (current US$) NE.CON.PRVT.CD 362524502991.296 411212369415.882 496817577887.994 639865350183.499 725901286869.592 864798835442.804 900500448663.559 1026740831916.89 1243100578634.2 1514204810148.45 1716072215923.95 1508545399597.39 1462000031644.61 1422225535691.82 1356199443611.49 1391482933042.19 1927903236796.58 2397189353560.71 2606410908837.3 2664740402560.52 3323561511129.58 3458398159948.36 3834469064378.9 3512073722693.79 3688319523094.08 4223807440880.6 4298892372682.67 3907983463086.25 4004725210954.55 3997650099034.63 3644194295959.09 3694520017271.36 3988820436518.04 4943927890043.85 5643556980452.57 5876327609492.84 6190020071644.6 7040181902178.56 7766700973280.89 7234462949272.21 7065952112138.68 7589827290123.4 7064984206999.02 7335357274662.87 7429627319708.23 6345739774715.6 6485212132355.09 6828922622835.98 7352431777556.91 7142051306894.35
Euro area EMU Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) LP.LPI.TIME.XQ 3.92111111111111 3.95210526315789 3.80631578947368 3.94001547368421 4.05989689473684 3.85105263157895
Euro area EMU Mobile cellular subscriptions IT.CEL.SETS 0 0 0 0 0 0 0 0 23482 28278 33880 42226 52010 90036 168893 276071 476560 783789 1365439 2239023 3262270 5062586 7935034 13046171 22820598 40029579 69941855 120574747 189631134 230456260 247085278 267928324 291307451 322490933 350618796 385421372 404600666 403409904 391522569 402586501 408111682 412223613 407193679 405582471 410002710 416260929 416682673 416482868
Euro area EMU CPIA policies for social inclusion/equity cluster average (1=low to 6=high) IQ.CPA.SOCI.XQ
Euro area EMU CPIA debt policy rating (1=low to 6=high) IQ.CPA.DEBT.XQ
Euro area EMU Investment in water and sanitation with private participation (current US$) IE.PPI.WATR.CD
Euro area EMU Start-up procedures to register a business (number) IC.REG.PROC 8.4375 8 8 7.52941176470588 7.35294117647059 6.72222222222222 6.55555555555556 6.44444444444444 6.36842105263158 6.42105263157895 6 5.68421052631579 5.52631578947368 5.36842105263158 5.26315789473684 5.31578947368421 5.05263157894737
Euro area EMU Time spent dealing with the requirements of government regulations (% of senior management time) IC.GOV.DURS.ZS 9.96
Euro area EMU Firms using banks to finance working capital (% of firms) IC.FRM.BKWC.ZS 31.52
Euro area EMU Business extent of disclosure index (0=less disclosure to 10=more disclosure) IC.BUS.DISC.XQ 5.31578947368421 5.31578947368421 5.31578947368421 5.31578947368421 5.31578947368421 5.31578947368421 5.63157894736842 6 6.21052631578947 6.15789473684211 6.15789473684211 6.15789473684211 6.15789473684211 6.21052631578947 6.31578947368421
Euro area EMU Other expense (% of expense) GC.XPN.OTHR.ZS 2.16867203397328 1.75612471073007 1.51047268093863 1.72000809856176 4.86763106272677 4.47710846218714 4.13941782494331 4.47047918591463 4.26917643590549 4.63815362543165 4.73208758164341 4.38278123222288 4.37818362267429 4.34815946706203 4.49153564261124 4.33241031851107 4.46441216388562 4.88777806640295 4.34583519566248 5.14635294979172 4.86748106247843 5.26778802304608 5.02230361835693 4.66874793269647 4.86832922481005 4.80534451073088 5.15707680457907 4.97653965005839 4.63053377307918
Euro area EMU Taxes on international trade (% of revenue) GC.TAX.INTT.RV.ZS 2.8754484879549 2.83699919787224 3.16143945400834 2.2880747356319 2.07294504204842 1.55832030017916 1.49289545029586 1.7554770834746 1.4651264930864 1.40383076381947 1.31877790672086 1.04466199588346 0.64902617473266 0.08833779858962 0.075859299116292 0.0953095811780969 0.0734495757264497 0.0768598153827236 0.696806800595127 0.541813155917114 0.427322177504682 0.888108668124787 0.0101324318276901 0.00202439451691475 0.00318583906105089 0.00283675516096388 0.00210591879998206 0.00179301586949773 0.000576717183110178 0.000743120929555108 0.00172494092077346 0.0133509287189421 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Euro area EMU Net lending (+) / net borrowing (-) (current LCU) GC.NLD.TOTL.CN
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) FX.OWN.TOTL.FE.ZS 88.7477493286133 93.8385162353516 94.0111236572266
Euro area EMU Broad money to total reserves ratio FM.LBL.BMNY.IR.ZS
Euro area EMU Borrowers from commercial banks (per 1,000 adults) FB.CBK.BRWR.P3
Euro area EMU Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal) ER.GDP.FWTL.M3.KD 24.8147907191555 23.4519780493093 32.107284888343 35.2737921239446 44.9501036715934 50.3607944300911 58.3202483255291 69.8438725345899 71.9316695310912 84.0616468348808
Euro area EMU Plant species (higher), threatened EN.HPT.THRD.NO 687
Euro area EMU PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) EN.ATM.PM25.MC.M3 16.7842579852566 15.8645622549089 15.3421713186616 15.1318016032087 15.1874175006733 15.3663861839981 14.1575008327824 13.7881416680229 13.2245568474671 13.4306445386393 12.4663125908088 12.5251127389055
Euro area EMU Total greenhouse gas emissions (kt of CO2 equivalent) EN.ATM.GHGT.KT.CE 3346873.68356 3387770.01924 3513379.21311 3702778.33862 3674724.03627 3522917.78106 3725069.16331 3688109.70568 3797905.35073 3936023.7295 3862983.55885 3740695.61634 3623468.37306 3605770.56926 3642623.19439 3648259.46763 3653187.9615 3661293.80306 3702785.53208 3760737.8181 3607947.08287 3605658.68591 3491196.86896 3418798.18639 3423038.13333 3463880.03989 3526679.45569 3503808.67155 3457883.332 3403319.52261 3444393.41124 3457051.9186387 3466443.289179 3534670.96566 3531294.262 3512554.3172505 3490350.87492 3457807.907994 3404930.2512527 3220405.49858303 3247113.77046328 3171535.08478565 3160160.76479845
Euro area EMU Electric power consumption (kWh per capita) EG.USE.ELEC.KH.PC 1215.86007488785 1296.09764915999 1393.58528023423 1499.22616029143 1622.80747380951 1727.25409566383 1842.23262826515 1935.13169138968 2086.46661299765 2272.53901860512 2676.11259039838 2823.74799600503 3033.01906247538 3264.66801431594 3380.21999521643 3334.30899812887 3626.34921575872 3717.68748909385 3916.02556876663 4113.19736801097 4203.01374969304 4244.54611834417 4253.74099362687 4355.29340358682 4557.44456582656 4738.76255890512 4849.87190580003 5003.96295383121 5141.96686114725 5283.30542051114 5303.91721860258 5401.43603618476 5414.96007134 5357.57751522378 5442.35714458502 5563.79955740665 5700.48683343458 5796.33199542924 5929.48187312608 6061.78317643496 6236.13353838465 6377.48739277072 6480.53936764758 6619.36455784269 6741.62326731481 6784.97835528577 6856.02828036119 6861.33225474659 6853.87745065081 6496.23454899586 6773.18751288314 6643.92216290088 6637.19166342361 6536.96468245961 6352.83012471625
Euro area EMU Electricity production from hydroelectric sources (% of total) EG.ELC.HYRO.ZS 38.7259473293155 35.1596803018286 31.5421014162506 33.3616002779873 27.5662588576155 30.039278417337 31.7935407724006 28.1038392005267 26.8459889062867 24.8224155231669 22.2647088733542 19.7067420845907 19.0454496265857 16.8502202832701 18.1417841054902 18.3452435206401 14.1205028635534 20.1794589209035 18.0402856161797 17.8975428902507 16.2463984803935 15.8083819486718 15.8805667100071 15.4206023807293 14.7708094055183 13.9053209704379 13.2415953997188 13.7375792416753 14.3434688656522 10.2995973238181 11.024511639679 11.6789220490477 11.9670573825599 12.3905901335053 13.5285722793636 12.3605860658795 12.7986782826408 12.0674439391693 11.9426297418067 11.7767315323467 11.7063901204019 12.4857544441702 10.0561163203471 10.1061917609288 10.0852789427946 8.61909098972609 9.16779131129668 9.08782708420607 9.55915916520665 10.3065401085327 11.2743657184751 9.21573262128391 9.83692045952637 11.8522456181257 11.9890826906265 9.97902647484255
Euro area EMU Total debt service (% of exports of goods, services and primary income) DT.TDS.DECT.EX.ZS
Euro area EMU Net official flows from UN agencies, UNTA (current US$) DT.NFL.UNTA.CD
Euro area EMU Commercial banks and other lending (PPG + PNG) (NFL, current US$) DT.NFL.PCBO.CD
Euro area EMU Portfolio investment, bonds (PPG + PNG) (NFL, current US$) DT.NFL.BOND.CD
Euro area EMU External debt stocks (% of GNI) DT.DOD.DECT.GN.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Netherlands (current US$) DC.DAC.NLDL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Switzerland (current US$) DC.DAC.CHEL.CD
Euro area EMU Secondary income receipts (BoP, current US$) BX.TRF.CURR.CD 86449562854.6151 79728759499.1009 81396325635.2284 97860712789.5385 95380397138.2181 91428139062.5456 84368164726.6465 79266698161.5406 71342007136.4539 80601125105.0629 97587115450.0355 128923487691.204 133535363178.152 156194488131.891 154072729865.151 177327955422.481 195105884225.405 175911540952.827 173478930541.287 199092422204.469 184447749623.438 201581594204.446 219934273374.479 204629304190.495 196266894422.691 212446385442.256 234926842247.123 231740705164.745
Euro area EMU Technical cooperation grants (BoP, current US$) BX.GRT.TECH.CD.WD
Euro area EMU Foreign direct investment, net outflows (% of GDP) BM.KLT.DINV.WD.GD.ZS 0.517917469057873 0.535597459933701 0.518791493401697 0.523967778774573 0.47259684154551 0.489206146806154 0.450982210215454 0.485183697560553 0.608530551260016 0.513781996343147 0.604345599700336 0.437386355698979 0.489939227076459 0.654791491006708 0.570295708832657 0.756595215327771 0.808704979109473 1.03811986212553 1.36576906486551 1.6288730484652 1.32509801832664 1.2407510470879 1.1016481470102 1.19129018479193 1.38986315690495 2.02790035881216 2.21106824718961 3.86979958615323 7.21401345268923 8.47121365754946 5.79805774778306 2.65213928714404 2.68244494785465 3.79713023273261 7.75243781533397 10.0125530266328 11.5189503139544 7.40813197490474 4.16576328140216 4.93401235721019 6.43452035074587 4.5085714752105 5.12433464410286 3.97043201947493 7.67637136314182 5.90970632910872 4.79310135939717 0.980245264323653 1.33388541267292
Euro area EMU Food production index (2004-2006 = 100) AG.PRD.FOOD.XD 60.4000304244859 63.6333639364922 65.1927732388691 64.7499488888463 66.2157650514964 67.2277935116826 71.4158722325057 72.6033611984504 71.3527911161368 75.1514134863438 74.9382578385182 74.6143847912065 79.8456231965953 81.9174459135158 81.024438386781 79.907911835735 79.7495030095794 85.2144806109563 89.473112885783 91.3664312084777 88.728981489928 93.4532460370988 92.0599049904467 95.4669978141076 94.3363190141687 94.9555960189295 97.048458221663 94.1481391595176 96.0012636561935 95.8198873081429 95.1401636634281 97.3113188832071 93.6677557767233 92.0383683899733 91.5967892580225 97.2413125601112 97.109894597488 97.0109372957673 100.819544020207 100.781720433935 98.8717692026256 99.126654200871 97.5957058492146 102.014944786021 98.6602561685823 97.5824665249336 97.6775413161114 100.071534177676 102.130395837635 101.596067571538 102.816244678542 98.9580488081147 102.225553169225 101.968117976322
Euro area EMU Permanent cropland (% of land area) AG.LND.CROP.ZS 4.62336422259521 4.6308319681091 4.65904345116154 4.66900044518006 4.67356406743854 4.70094580098944 4.74118865181426 4.71505154251567 4.74035890231272 4.82955697372854 4.80549423818381 4.82042972921157 4.87179122462316 4.90346570908925 4.94341582809261 4.94843484101473 4.93231471007432 4.94395287311928 4.91571806751676 4.86764619709255 4.85903585411962 4.85260444164885 4.91407522739167 4.88210497468372 4.84127553992318 4.81604759645812 4.7874172001252 4.77206466875827 4.75646316727323 4.75671211711114 4.66762596211534 4.30683070971269 4.19799947951271 4.19022854784604 4.12405656193271 4.11738155169765 4.15274969260097 4.20450874387764 4.24218504319583 4.21581006918517 4.23645348596128 4.15386249906134 4.13107308268871 4.0953775939134 4.09676068625515 4.05716275325237 4.01357370654667 4.00521641999604 3.98316212650209 3.96836401794638 3.89911175853363 4.01795739857761 3.93837366505832 3.96636837643464 3.98935205400289 3.91653207844929
Euro area EMU Merchandise exports by the reporting economy (current US$) TX.VAL.MRCH.WL.CD 29623890000 32266810000 33939270000 37020400000 41859700000 46805200000 51886300000 55677050000 63155440000 74522588000 87282564000 100111413000 122735133000 169982676000 225202314000 240791514000 267465829000 308670259000 373147246000 467472897000 530553948000 492337582000 478043609000 466362427000 480119783000 507562193000 637018243000 762705607000 849680821606.7 907063925178.2 1095806688268 1094370182106 1165946084002.6 1069221063519.9 1222555931291.7 1494033629973 1530316098868 1712781463501 1784487315049 1845485569515 1918809439411 1952661424219 2084915403049 2506022543741 2981905927659 3194159636194 3577792538245 4226094592416 4681251664039 3635774539717 4043015481200 4719781680704 4519759035675 4673897478784 4758391935582 4139158991715 4162779750119 4562711116011 4996532437949 4831670130677
Euro area EMU Fuel exports (% of merchandise exports) TX.VAL.FUEL.ZS.UN 7.9026328547135 5.42458253745656 4.80386578023165 4.72081018663243 4.29394090999033 4.16864146196658 4.83960922579674 4.41583426981497 4.73076348135996 5.08194648540955 4.04321711241304 4.45552230900954 5.99710665376723 5.72064553134965 5.71423053424349 5.7518240758878 5.25301608185069 6.08295714201344 7.07951065365243 7.7514579702262 7.66851910403671 7.3699249100749 7.09597716806011 6.8885837249565 4.54654206438292 3.5819816647473 2.93200495715094 3.09459812133655 3.26921029923662 3.31600417228424 2.95508397188998 3.0500672612917 2.75055018037626 2.44321164425415 2.88062615298502 2.68688432008338 2.31811741685789 2.46804160276871 3.39640156951619 2.93927130616982 2.80367157767349 3.04220738541764 3.42178067028895 4.31436587261895 4.81197520199725 4.4619347437769 5.62409325014882 4.42895072373672 5.13143918863928 6.22158964552867 6.66412973824565 6.61222900430512 5.99539275994255 4.81665464256553 4.05160783261986 4.73146582250222 5.1305966632394 4.86340643803225
Euro area EMU Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) TM.VAL.MRCH.R5.ZS 0.815585101803554 0.785224079410441 0.752079904216642 0.757791847667715 0.629657460401377 0.550238655779725 0.541005454646722 0.48423345188911 0.48968241513662 0.450950602427905 0.379502188230571 0.369313015235809 0.385797604250546 0.419614870328667 0.367680739244448 0.358321541715269 0.453423877189995 0.474911056297272 0.449297793695403 0.458621457872379 0.40380742940672 0.385798196308608 0.48217497498678 0.405100094538628 0.452148698350183 0.474452165691451 0.441925703714184 0.490069269951097 0.506179574435704 0.509861221931755 0.572626591164895 0.573445071825853 0.601734105879348 0.765322592051162 0.762173238518732 0.755369462417558 0.771359379845375 0.791139617766002 0.784086983656449 0.714751519061144 0.725716824537899 0.724693434704418 0.725724995384486 0.748007855764622 0.790388587551267 0.788346460452592 0.844992875012003 0.87800528784873 0.93451776511616 1.04096046106109 1.13860106618249 1.25054936137296 1.17070075636717 1.20428190297247 1.23739995849042 1.31606907957995 1.35033562156849 1.34541817684189 1.35079215630964 1.40228808259834
Euro area EMU Import unit value index (2000 = 100) TM.UVI.MRCH.XD.WD
Euro area EMU Binding coverage, all products (%) TM.TAX.MRCH.BC.ZS
Euro area EMU International tourism, receipts for passenger transport items (current US$) ST.INT.TRNR.CD
Euro area EMU Completeness of birth registration, male (%) SP.REG.BRTH.MA.ZS
Euro area EMU Population ages 75-79, male (% of male population) SP.POP.7579.MA.5Y 1.62698612834485 1.63363064882867 1.64085535568215 1.64678399626753 1.64716010687856 1.64209727493625 1.63491817152523 1.61851393358014 1.60352426958154 1.6018700419214 1.6185979240588 1.65146831763201 1.68614102857868 1.72334960059079 1.76621673880265 1.81774832001261 1.88855825392808 1.95899926461539 2.02403817123141 2.07903969882733 2.12496356375954 2.17034657422611 2.20378423357683 2.23117537229826 2.25815423271293 2.28779287549696 2.32513537349844 2.37114438154951 2.40450313361253 2.39237945947569 2.32335674206069 2.202999272282 2.03286488393904 1.87205823873502 1.79390478942482 1.8285968342025 1.9416513586214 2.12814789199744 2.3443906748289 2.53819359072717 2.6873636505601 2.7811467401179 2.84863329260725 2.90216616038247 2.95326928858846 3.0071089508978 3.04804210423367 3.08803403111082 3.13569267095229 3.19919034738963 3.28051427795883 3.34293382784584 3.42354919313007 3.51001726729095 3.58134479434194 3.62738381361815 3.6097703351029 3.56819587024461 3.53046163186814 3.53116893269496
Euro area EMU Population ages 50-54, male (% of male population) SP.POP.5054.MA.5Y 6.26911527167916 6.20340343782339 6.15482245146819 6.08799018885893 5.948340875291 5.71238002417934 5.3697742973137 4.93323425150931 4.49602217749943 4.19759190554311 4.11758017051641 4.22106281846998 4.52446859551275 4.9381984620825 5.32676964275278 5.60982808474323 5.7939733271473 5.89348015571599 5.93322080348451 5.95521658826801 5.98372413851853 5.98724098823099 5.98138101603839 5.97544011190378 5.98255928212464 6.01019006906231 6.04053650811951 6.10232737682333 6.17371043072958 6.22065109424038 6.22321851911528 6.16636720960699 6.06365390083512 5.9498946787758 5.87951539630692 5.88511603045964 5.95330090538279 6.09427856357814 6.27482871998082 6.4401062757107 6.55632976120951 6.61109052010238 6.62359554360405 6.61518942875257 6.6206816603261 6.66089950897921 6.7055125107984 6.77307793769255 6.86117511956454 6.96441505505169 7.07775414827426 7.20008552392332 7.33998861281745 7.4797454796882 7.59882170280486 7.68399558772192 7.72902960617429 7.73992487414373 7.72088279561479 7.68059204075503
Euro area EMU Population ages 15-64, male (% of male population) SP.POP.1564.MA.ZS 64.6141351546442 64.4660692116581 64.3885430082996 64.3564996975975 64.3248053967282 64.2744115043637 64.0874473071259 63.9302596655168 63.8023986287922 63.7117821919805 63.6656195819219 63.6481378869388 63.6890198412938 63.7926144789524 63.9651708433949 64.2079407930808 64.4152395581553 64.6781615152538 65.0192041428604 65.4646927162085 66.0171097896493 66.5382778150448 67.1467569023278 67.7807480153099 68.3578855731307 68.832993298501 69.0935759650757 69.2837505207565 69.4174637441812 69.5222358099882 69.6117865472671 69.5947507896428 69.5676834526969 69.5355643975254 69.5082600707661 69.4945558188448 69.4367257653878 69.3919070558965 69.355049954638 69.3129243259842 69.2532884400003 69.154347176142 69.04678776265 68.9347338066637 68.830273106909 68.7427479292732 68.5625349853695 68.4107561505076 68.2689900833154 68.1146588928978 67.9349930522606 67.649207370909 67.366165331385 67.0849176115713 66.8127997013286 66.5547095854192 66.3291740162791 66.1103042894007 65.8981879999437 65.6942351389357
Euro area EMU Population ages 00-04, male (% of male population) SP.POP.0004.MA.5Y 9.31798860749093 9.43499925940828 9.50769006686961 9.53412233159998 9.52769071630603 9.49552886192442 9.48666951714121 9.39437409187299 9.24311160842151 9.06211764416492 8.87760124388922 8.6453382836443 8.42952889227622 8.22940690581086 8.035542480486 7.83872715872898 7.61926509845627 7.42854270815197 7.25774209571983 7.10170282816465 6.95973299548493 6.86337524010501 6.77104366944929 6.6826078695143 6.59853393746996 6.52145634798508 6.47747247094394 6.40444067883318 6.31422516588172 6.22068334902715 6.13539474175397 6.04892927588813 5.96365314271182 5.88347836193412 5.80780024168263 5.73323202452552 5.64867937152742 5.58402760499383 5.53330054455751 5.49321341167017 5.4646115832066 5.4465389411847 5.42948788178028 5.41595216477606 5.40827483826735 5.40542071742472 5.42352824443983 5.43781694675144 5.44414650614446 5.43669180487239 5.4155915544414 5.42953031039743 5.39052237563319 5.31996824737025 5.24406759835423 5.18311858933483 5.1141213023413 5.0684237099369 5.0408884229897 5.01528987575626
Euro area EMU Contraceptive prevalence, any methods (% of women ages 15-49) SP.DYN.CONU.ZS
Euro area EMU Net migration SM.POP.NETM 808797 148964 2037462 1608797 731227 2221744 4087715 2351361 7296329 4188448 3610240 4446572
Euro area EMU Unemployment with basic education (% of total labor force with basic education) SL.UEM.BASC.ZS 15.7085117074583 14.9412741657316 14.4280581809948 13.0305075489711 13.4772124007135 13.9198004106293 14.7635767476353 14.7990327429621 14.0212478446581 12.7803033825272 12.8899467658516 17.0702553001876 18.7203449848813 19.3093391671533 22.009490191108 23.1268749523132 22.1789031055532 20.6338368429115 19.3352778228315 17.7803612473446 16.1174940248836 15.1844984166524
Euro area EMU Part time employment, female (% of total female employment) SL.TLF.PART.FE.ZS 37.2446725504217 38.6674325693348 39.0447185712202 40.2972089217187 41.2997019290751 41.6770863921577 41.2882503561152 41.4968830442775 41.0709101678293 42.9247747952254 43.2138377315165 46.0176600156558 45.2681619335285 46.262619520238 48.189690788141 48.6590554058817 49.1072764440776 49.1087620649105 50.5929035174575 49.8578280596084 50.1948191239282 51.038282929715 51.6830236744448 51.6067990672487 51.6339490287163 50.7454756864226 51.0263566778849 50.4307489444781 50.6056413617289
Euro area EMU Labor force with advanced education, male (% of male working-age population with advanced education) SL.TLF.ADVN.MA.ZS 85.9824903773235 84.9367223362874 84.4920651716047 84.4502166635126 84.544480574031 83.9282253343761 82.6111247887025 81.4227675350547 81.1472462369917 81.0432117510772 80.8962471231051 80.7381642915602 80.4870037671209 79.9799753356924 79.6954001095783 79.531473611902 79.243111949476 78.6862094668293 78.2583797820187 78.4124800149317 78.4424944733048 77.946119803007 77.5263471598189 77.5146387987776 77.4773936748781 77.2999314961556 77.3120330930855 77.4221450824192
Euro area EMU Children in employment, work only, female (% of female children in employment, ages 7-14) SL.TLF.0714.WK.FE.ZS
Euro area EMU Children in employment, self-employed (% of children in employment, ages 7-14) SL.SLF.0714.ZS
Euro area EMU Wage and salaried workers, total (% of total employment) (modeled ILO estimate) SL.EMP.WORK.ZS 81.7826311561829 81.6773273955214 81.7091697017359 81.5427432471358 81.7125599919574 81.8420136488263 81.9252367401751 82.2133029783234 82.5971458617446 83.0582500450642 83.1378106647098 83.3272159879105 83.245933884765 83.1730145545724 83.3106367731965 83.4019097668147 83.6519420780262 83.9985316701664 84.0187926773203 83.9669988977176 84.1105297976647 84.1305191560168 84.1873316249116 84.2863346808171 84.4945974474664 84.7245171356248 85.057117467607 85.3007809392653 85.3787453258716
Euro area EMU Employers, total (% of total employment) (modeled ILO estimate) SL.EMP.MPYR.ZS 4.99338712620308 5.18200586589838 5.23440216518834 5.36887010253444 5.2974620152062 5.3099472097062 5.32110411660222 5.342768255006 5.39568688910042 5.27147167465861 5.22528030085145 5.11418338470127 5.19458022405134 5.2916421392895 5.16580436642747 5.20571040785454 5.17240687052174 5.19458807345337 5.15766913076246 5.11246188426349 4.9986595222252 4.92595213264384 4.93315639133048 4.85148413139926 4.83233403518216 4.77308184430766 4.71763435688892 4.63983447567486 4.605276943197
Euro area EMU Survey mean consumption or income per capita, total population (2011 PPP $ per day) SI.SPR.PCAP
Euro area EMU Poverty gap at $3.20 a day (2011 PPP) (%) SI.POV.LMIC.GP
Euro area EMU Out-of-pocket expenditure per capita, PPP (current international $) SH.XPD.OOPC.PP.CD 348.335435540452 361.856637411237 384.645958229151 402.626582488339 427.890527897122 442.900035749109 488.916890310873 509.745956815445 548.169900893054 558.283630318895 575.26793151711 604.42620700256 621.175429581168 640.417612084003 654.647155621576 671.452673556544 696.151942330453 730.999845188886 742.004673248813
Euro area EMU Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%) SH.UHC.OOPC.25.ZS
Euro area EMU Prevalence of severe wasting, weight for height, male (% of children under 5) SH.SVR.WAST.MA.ZS
Euro area EMU Mortality rate attributed to unintentional poisoning, male (per 100,000 male population) SH.STA.POIS.P5.MA 0.506239757000676 0.366854740081135 0.295889383159172 0.248383647977321 0.22773061330331
Euro area EMU People with basic handwashing facilities including soap and water (% of population) SH.STA.HYGN.ZS
Euro area EMU Number of surgical procedures (per 100,000 population) SH.SGR.PROC.P5
Euro area EMU Community health workers (per 1,000 people) SH.MED.CMHW.P3
Euro area EMU Children (0-14) living with HIV SH.HIV.0014
Euro area EMU Women's share of population ages 15+ living with HIV (%) SH.DYN.AIDS.FE.ZS
Euro area EMU Condom use, population ages 15-24, female (% of females ages 15-24) SH.CON.1524.FE.ZS
Euro area EMU Women Business and the Law Index Score (scale 1-100) SG.LAW.INDX
Euro area EMU Tertiary education, academic staff (% female) SE.TER.TCHR.FE.ZS 30.04999 30.23795 30.54439 30.80991 31.49574 32.09168 32.9892 33.85202 34.97367 36.93774 34.77526 35.31986 36.38904 36.73106 36.98548 37.40356 37.48577 37.83632 38.35073 38.71942 39.0806 39.65944 40.08624 40.41723 40.78486 41.04846 41.32611 41.32611
Euro area EMU Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.BA.FE.ZS
Euro area EMU Progression to secondary school (%) SE.SEC.PROG.ZS 95.35018 94.73148 94.85443 94.99098 94.9591 95.28353 94.1866 94.16065 94.93117 95.63978 96.57384 96.25157 95.90195 95.90452 96.25155 96.37371 96.59264 95.96568 95.70151 95.00857 95.4449 95.754 95.8227 95.9595 96.0647 96.87371 96.90159 96.84673 96.75693 96.78452 96.5923 96.54562 96.70425 96.69534 96.52666 96.54045 96.5533 96.57038 96.66911 96.6651 96.60867 96.69039 96.77449
Euro area EMU Secondary education, general pupils SE.SEC.ENRL.GC 18500000 18700000 19300000 20300000 21100000 21800000 22100000 22700000 23000000 23100000 23300000 23200000 22900000 22600000 22400000 22200000 22000000 21700000 21300000 21100000 20900000 20800000 20900000 21500000 21700000 21700000 21100000 21200000 21900000 21800000 22900000 22900000 22800000 22800000 21100000 21100000 21400000 21100000 20900000 20900000 20900000 20800000 20800000 21100000 21100000 21200000 21200000 21200000 21300000
Euro area EMU Lower secondary school starting age (years) SE.SEC.AGES
Euro area EMU Repeaters, primary, male (% of male enrollment) SE.PRM.REPT.MA.ZS 9.15431 8.80153 8.22596 7.93308 7.52089 7.08195 6.39064 6.37798 6.45408 6.45681 6.49912 6.29359 6.33871 6.15634 5.84545 5.67076 5.65854 5.72668 5.09545 4.83426 4.55289 4.50911 4.3533 4.22713 3.92622 3.84904 3.72601 3.65854 3.60734 3.49772 3.4577 3.38742 3.28515 3.20809 3.08892 3.15025 3.06438 3.02711 3.10794 2.9816 2.95493 2.92733 2.87189 2.84976 2.81 2.77657 2.90533 2.78693 2.83545
Euro area EMU School enrollment, primary, female (% net) SE.PRM.NENR.FE 94.78505 94.79381 94.95411 94.81346 95.21968 95.22927 95.3675 95.3606 95.92637 96.29604 96.49627 96.42319 96.10532 95.60779 95.43535 95.31872 96.02723 96.46 96.49502 96.57611 96.25657 96.14644 95.13914 95.49376 95.03511 95.75209 96.83667 97.3 97.61867 97.49598 97.49529 97.22747 97.01571 97.00405 97.64336 97.65115 97.88234 97.74909 97.56059 97.55384 97.84549 97.97542 98.01133 97.56492 97.72417 97.75038 97.64662
Euro area EMU Primary completion rate, male (% of relevant age group) SE.PRM.CMPT.MA.ZS 94.3180694580078 94.3042297363281 94.4135818481445 94.4918594360352 94.9003677368164 96.7241668701172 96.2593078613281 96.1840362548828 95.9691467285156 95.7030334472656 95.8857879638672 95.6892471313477 95.7015914916992 95.5342178344727 96.1136474609375 96.5975036621094 96.7173385620117 95.6242218017578 97.0941925048828 97.4770431518555 97.5306396484375 97.5721206665039 97.9067001342773 97.6565399169922 96.7396011352539 96.47509765625 96.3446197509766 96.1729278564453 96.6333084106445 97.0727233886719 97.6572570800781 98.6552886962891 97.3768081665039 97.3040008544922 96.7609176635742 95.2927474975586 95.3832168579102 96.826042175293 96.9706802368164 96.8672637939453 96.7884368896484 96.6340637207031 95.8093872070313 95.5567398071289 95.445930480957 96.166130065918 95.3285217285156 95.5249710083008 95.5433731079102 95.550651550293
Euro area EMU Literacy rate, adult total (% of people ages 15 and above) SE.ADT.LITR.ZS
Euro area EMU Coverage of social safety net programs in richest quintile (% of population) per_sa_allsa.cov_q5_tot
Euro area EMU Coverage of social protection and labor programs (% of population) per_allsp.cov_pop_tot
Euro area EMU Net primary income (Net income from abroad) (current LCU) NY.GSR.NFCY.CN
Euro area EMU GNI growth (annual %) NY.GNP.MKTP.KD.ZG 3.17289675373809 4.76556971505335 6.14309257820396 3.37585685346305 -1.10786973671071 5.0019139303792 2.97246495777537 3.03909157866875 3.9654497638552 2.17190826684876 0.215304947954522 0.600607080617507 1.44324810464967 2.44098879826747 2.4360609217976 2.64994723726804 2.82428023814445 4.41255657159161 4.07795265918101 3.45025777640498 2.46005964912517 1.30845633838312 -0.560204321746298 2.02158208137146 2.56305217506659 1.86897501202627 2.69090160455346 2.76701624546635 3.19372183141597 3.81188359704028 1.88751152478812 0.571982610394144 0.725595599797927 2.74678530964245 1.71180118725538 3.5624062406618 2.68655974776979 0.00624257932291528 -3.87389834873866 2.2014570155925 1.82835248125515 -0.742771804616709 -0.202251215412062 1.21692051012529 1.68196749105314 2.12158099239119 2.69151350720938 1.98081953589416 1.3264806105495
Euro area EMU GDP per capita (constant 2010 US$) NY.GDP.PCAP.KD 10732.9852779423 11335.0968632081 11951.3005980542 12559.8149444894 13136.0163516028 13672.7710790977 14276.8516837862 14932.8578807384 15669.5242628869 16660.6977686348 17531.1507062848 18097.1232415895 18859.5305614573 19897.445850731 20420.8590273838 20162.9070290207 21082.2141814807 21645.575971193 22232.9462510019 22993.0451931106 23387.6091885445 23418.1587773856 23521.5559392415 23798.7164859424 24321.6101395612 24836.3673170974 25395.9401617827 25970.1010637695 27000.041440838 27987.9624370359 28858.366583266 29478.6651748175 29750.8630059587 29435.0936155377 30071.5864672227 30722.9550091608 31164.3067074738 31933.0013082619 32835.7341209809 33725.2132761832 34914.7897639351 35548.2321939656 35713.4913803736 35770.4080828055 36392.4341839924 36815.9712832909 37827.3064437941 38758.9470886098 38732.2805843461 36869.6315662535 37568.8891536299 38285.8597275401 37861.2437018682 37638.8007366313 38032.4875107152 38692.665304479 39314.1751264738 40247.0828331855 40922.9500003513 41359.7268249175
Euro area EMU Gross value added at basic prices (GVA) (current LCU) NY.GDP.FCST.CN
Euro area EMU Adjusted net national income per capita (current US$) NY.ADJ.NNTY.PC.CD 1973.10422393489 2217.56418586296 2657.00430487329 3428.27382764798 3827.90560786332 4387.24598770259 4566.81884158813 5163.4713916351 6310.5016924758 7602.87746004897 8408.39401533131 7203.20910156367 6926.1156405319 6735.40676320829 6456.01959309115 6625.77319601608 9316.93308445645 11511.928156755 12654.3180186397 12867.4739487361 16083.5499569176 16573.5908891627 18168.3839909376 16500.212085674 17343.7235096115 20006.6610819684 20222.779525064 18456.6417403176 18914.5198398747 18796.8055849551 17019.3591408705 17169.9782774949 18479.9678750181 22692.5147131384 26022.8797210508 26808.8019699239 28444.6274330333 32444.2107679964 35011.3316461715 31805.7890550432 31142.8241927334 33701.1530397031 31111.6962914068 32362.3017790175 32979.3880378047 28332.3835271792 29067.7017950082 30723.1016214521 33049.5111687243
Euro area EMU Adjusted savings: net forest depletion (% of GNI) NY.ADJ.DFOR.GN.ZS 0.000364252812559026 0 6.9341540355397E-05 0 0 0 7.37308591650204E-05 6.49053354191027E-05 1.23576025363884E-05 1.22785705482923E-05 8.61122151124893E-06 6.00876868887925E-06 7.97625540331372E-06 3.43217835837338E-06 7.58420150945359E-06 8.94152649127537E-06 7.34698905161521E-06 4.56033387128018E-06 7.71743283293126E-07 1.61598212580381E-06 0.000172620775041005 0 0 0 0 0 0 8.7724883330323E-05 7.67224934864083E-05 0.000244136943654523 2.25267851996721E-05 0 5.53468161310825E-05 6.91396872462719E-05 1.40124161275233E-05 0.000117294873294431 0.000334070906947724 0.00060594105118025 0.000842559118350886 8.23376913760998E-05 0.00055626219313839 0.000327624035961422 0.000219596881377903 0.000201271933062704 0.000185287017724267 0.000244526893850881 0.000411709750627153 0.000489290741118295 0.000894313007897886
Euro area EMU Machinery and transport equipment (% of value added in manufacturing) NV.MNF.MTRN.ZS.UN
Euro area EMU Financial intermediary services indirectly Measured (FISIM) (constant LCU) NV.FSM.TOTL.KN
Euro area EMU Imports of goods and services (annual % growth) NE.IMP.GNFS.KD.ZG 5.62779227689873 9.56753217427834 10.8216098335662 2.51860613827668 -5.34523432238285 12.4277148128512 3.10355679687046 4.45836489410615 9.69060982459229 3.36124429415121 -1.80119721084758 0.498722209235837 0.346319706107451 5.80541273454446 4.21464381318111 4.88902258622801 7.82038387283808 8.1058473165065 9.29125201946925 7.69583448256566 5.4246861874917 3.79117258327548 -4.61556888207653 8.61569096086107 8.27769139947343 4.17770143798568 9.83954259308473 10.1459674116322 7.69524996917994 12.0584662474303 2.54116220370611 0.5888002141931 3.02329519405112 7.0317909279984 6.12436776984725 8.55601959902394 6.90852661419498 0.381929247821063 -11.4149246710023 9.73376618437007 4.34457347912264 -1.21902538638653 1.38535019576305 4.94133051205901 7.66255715612189 4.1520395106337 5.23311414738046 3.26060857824659 3.9337071635629
Euro area EMU Gross fixed capital formation (constant 2010 US$) NE.GDI.FTOT.KD 1262488209248.31 1320261551371.09 1388998277721.62 1459539742005.19 1427987819132.36 1367432589384.83 1393872532690.16 1433040151253.21 1468252528340.64 1521204404644.58 1568376897195.64 1517926295115.44 1477600037019.8 1472898262303.97 1472209637906.94 1507427524083.26 1568768557998.69 1639138128011.56 1771639752837.48 1897305252797.31 2004828664446.94 2038221247330.66 2041380829244.91 1916913886824.69 1958906420467.16 2022940444028.73 2065614646180.31 2124315874461.64 2255503258958.74 2391140456528.42 2504957100435.74 2535456590351.22 2506208071567.03 2535306097660.33 2596282125629.93 2668455799648.82 2812145909688.49 2957363071457.27 2926329086260.35 2606950820626.82 2599836477510.58 2641981195456.42 2557630324391.15 2496768114847.77 2532187564927.93 2656137180218.28 2761621780699.34 2862133749452.85 2936331167552.49 3107367797466.94
Euro area EMU Gross national expenditure deflator (base year varies by country) NE.DAB.DEFL.ZS
Euro area EMU Households and NPISHs Final consumption expenditure (current LCU) NE.CON.PRVT.CN
Euro area EMU Logistics performance index: Ability to track and trace consignments (1=low to 5=high) LP.LPI.TRAC.XQ 3.51166666666667 3.65315789473684 3.52578947368421 3.5768667368421 3.71096678947368 3.57157894736842
Euro area EMU Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P2 0 0 0 0 0 0 0 0 0.0078054837084733 0.0093707779663241 0.0111960158482536 0.0139176899424246 0.0170979561830386 0.0295186064038999 0.0552146391013707 0.0899855443717019 0.154851163668814 0.253843499700607 0.44069195753241 0.71995610448273 1.04485759446371 1.61516115406267 2.52270992986679 4.13558168492546 7.21832032026393 12.6415986101457 22.0553948984785 37.9437403455082 59.4906221887158 71.9867435005248 76.7726977565484 82.7640301007695 89.471534410697 98.5396224163738 106.65734738929 116.787861596308 122.180026498311 121.439645217237 117.514443805601 120.50387856831 121.855011741697 122.804247734263 121.04022558177 120.296502718192 121.325114046202 122.891067968567 122.645012438194 122.463544871796
Euro area EMU CPIA structural policies cluster average (1=low to 6=high) IQ.CPA.STRC.XQ
Euro area EMU CPIA economic management cluster average (1=low to 6=high) IQ.CPA.ECON.XQ
Euro area EMU Public private partnerships investment in energy (current US$) IE.PPN.ENGY.CD
Euro area EMU High-technology exports (current US$) TX.VAL.TECH.CD 488145673475 518972610635 448200157207 500044726498 556128175322 550971602415 574547415062 589903319400 536302854187 552842546620 542967553585 578094610803 586770579436
Euro area EMU Merchandise exports to economies in the Arab World (% of total merchandise exports) TX.VAL.MRCH.AL.ZS 7.64585609789936 6.21939386013058 4.96445562912815 4.85272984624693 4.27332255128441 4.24867322434259 3.94921202706688 3.67593110626371 3.71182593296793 3.60764712036034 3.33118307569425 3.26236530094726 3.33873838715765 3.54838630731993 4.8956277598462 6.72722212295239 6.76622919184192 7.32890919691748 7.04977948571005 7.36365150170407 7.82263729380447 9.73610663749817 9.70812246545482 8.66266055348408 7.72701528110122 6.4108531818878 4.65890582037852 3.77981946578242 3.56343935546699 3.56516602302712 3.37584738684157 3.36045022354977 3.43708180295699 3.79366807059893 3.45474262065717 3.15499714313432 3.06976747608791 2.91036260291036 2.99211405774072 2.92544002978484 2.75903493325792 3.00255422838857 3.04734435301722 2.97528062188518 3.02899832232162 3.22254380597114 3.11711913186295 3.2914002672969 3.67520519147989 4.07090244752967 3.94234626246575 3.62359201073237 4.05813105843169 4.2710849484216 4.25300257304777 4.39050861053546 4.114218383788 3.7952630828268 3.5134576358932 3.49786142998383
Euro area EMU Import value index (2000 = 100) TM.VAL.MRCH.XD.WD
Euro area EMU Insurance and financial services (% of commercial service imports) TM.VAL.INSF.ZS.WT 4.8991838934969 4.73170392872304 4.78309597118388 4.9850618298255 4.96537987782744 4.78689427017029 4.92218876024728 5.21468580480045 4.97378670313079 5.33291483361667 5.68165658289752 5.35624489086759 5.1640881091329 5.9787353135699 6.27519034544752 6.60670099270771 7.18975829654125 9.21672188662503 8.34168875337334 5.18360867770586 5.19744248068642 5.09351811433706 5.0937603695328 4.43919948103118 5.24935239027104 4.37297801738838 4.63064438807359 5.2693725171816 5.00174196898523 5.8369690100936 5.89020777139554 6.48442408164899 6.48873400591694 6.89802209088262 7.04895389322279 7.20357884666851 7.20552020585395 7.19946079964869 7.46013193669895 7.38248278072433 7.55902478714104 7.71029931535993 7.36278957992386 7.07400539785348 7.06050548278569
Euro area EMU Share of tariff lines with specific rates, all products (%) TM.TAX.MRCH.SR.ZS
Euro area EMU International tourism, expenditures (% of total imports) ST.INT.XPND.MP.ZS 8.15894735621507 8.2365212714459 8.24851461345551 8.1788301729458 8.61914003753313 7.84936458730102 7.67743044648596 7.68213542226131 7.66851792782165 6.86568409525556 6.93703628653124 6.2527254159267 6.13789038470694 5.51939241007763 5.63598885159369 5.70130114312844 5.36694302758441 5.47204903751394 5.49667259953206 5.39512099952923 5.67929585324103
Euro area EMU Rural population SP.RUR.TOTL 100538015 100180421 99791923 99215558 98600855 97956101 97230576 96393014 95630142 95073453 94414749 93809042 93471334 93153523 92800142 92530746 92285114 91929728 91570817 91218804 90886987 90511829 90286256 90135359 90077535 90086529 90037145 89766918 89576085 89626565 89581311 89487460 89435631 89284088 88966847 88632127 88302202 87959454 87596727 87258651 86939738 86612989 86247229 85899023 85568127 85210813 84822684 84503088 84159852 83669555 83090936 82147547 81607035 81191581 80797363 80325458 79832861 79252606 78652254 78063327
Euro area EMU Age dependency ratio, old (% of working-age population) SP.POP.DPND.OL 15.7719450323157 16.0429074695451 16.2986799520431 16.5485896579101 16.8059003744412 17.0824732597006 17.4559249500086 17.8245311764896 18.1884731992072 18.545835691254 18.8841849686348 19.2394477287624 19.54784911832 19.8135701377003 20.0436754177408 20.2382158647486 20.5354691026659 20.812998371406 21.0178480607151 21.0722842073036 20.943707085123 20.7508730496877 20.3822201011104 19.9526891352849 19.617874348121 19.4630691086692 19.5672310306995 19.8151750830634 20.1577436961479 20.5151195012899 20.8398294345742 21.2152316988379 21.5610171678999 21.8820036341941 22.1870424878164 22.483741491746 22.857007482593 23.2003045830774 23.5318058309835 23.8763453919293 24.2496569739887 24.6229279299571 25.0161107450847 25.411918303706 25.7765193289309 26.0919053252159 26.44866717978 26.7420847047139 27.0150958303223 27.32884363476 27.7247762465577 28.1818048195203 28.7209909100142 29.3187542459176 29.9316351041067 30.5317039258218 31.0411949417798 31.5340695024848 32.02076071974 32.525631361
Euro area EMU Population ages 65-69, female (% of female population) SP.POP.6569.FE.5Y 4.27321786670972 4.31527877485366 4.3743850984482 4.44616606475645 4.52508648858643 4.60913127248173 4.66082335557159 4.72139449844742 4.78963313818071 4.86484271342864 4.94207797782216 4.97568815982869 5.00964101474484 5.04486271808052 5.08528091962692 5.12984370193685 5.15631519230339 5.20787479506848 5.24529044307528 5.2105645850976 5.07540734663604 4.81569781271386 4.45078888501535 4.07400540148458 3.82749800240486 3.79020091301681 3.91871771304967 4.24439892062887 4.66892404170907 5.04535965624571 5.28754857839515 5.38647308722042 5.37773045721632 5.30203663178494 5.2235029848908 5.17895123801608 5.14112268446955 5.11947475039017 5.1153886834759 5.12989720750682 5.16272715592014 5.18590413989023 5.24070047045808 5.30391205521492 5.34159660206705 5.33565886765478 5.27339376131029 5.16975809783477 5.05932760475252 4.99288195122907 4.99796099216346 5.06044560372995 5.19423708271431 5.36252905805664 5.51574218890968 5.62588891314922 5.69246630457752 5.73189294232946 5.75979743718329 5.79967089869684
Euro area EMU Population ages 25-29, female (% of female population) SP.POP.2529.FE.5Y 6.9951093637839 6.97290732487264 6.9773950291118 6.98404952125045 6.95656667749416 6.87794296282342 6.76076346214132 6.59204087001978 6.41125529986103 6.27996771854812 6.23299001234718 6.28672294581578 6.4219181766859 6.60000348431391 6.76070599643073 6.86850712222154 6.9246807128576 6.93157118303758 6.91067473132642 6.89779761625277 6.91536452938941 6.96460202005032 7.03367395927046 7.11857720219327 7.21276697890524 7.31111453979996 7.41496892593224 7.52666638899984 7.63326682040431 7.71727547176988 7.76782211354099 7.79536673910814 7.79118790689738 7.75498929320596 7.68873712711409 7.59549032467273 7.47216842370057 7.32528158124073 7.16579550820447 7.00597806596079 6.85297292047911 6.72891668442379 6.6184919307848 6.52421625083561 6.44445040297643 6.37561700861891 6.31242013925131 6.26857724206869 6.23772130099141 6.20896449924538 6.17234965591259 6.10094733607212 6.0215458229048 5.93588634500189 5.84859916824975 5.76210314289905 5.68502363473256 5.60458328286928 5.52400897067641 5.44826796952781
Euro area EMU Population ages 0-14, total SP.POP.0014.TO 66718355 67559657 68258037 68855182 69425740 70005609 70677674 71185417 71589453 71916782 72078330 72045300 72022158 71871102 71537078 71019143 70296947 69420781 68429239 67350207 66231298 65168680 64025347 62856137 61717585 60658300 59818993 59015753 58287247 57667370 57130398 56703321 56329550 55966985 55553633 55109804 54610718 54122837 53628502 53171255 52778018 52459889 52202653 52000744 51851543 51732802 51760522 51845941 51934225 51927137 51837648 51734488 51721748 51695446 51658104 51617233 51573315 51531616 51509805 51461898
Euro area EMU Life expectancy at birth, total (years) SP.DYN.LE00.IN 69.2905809133318 69.660271105489 69.6173922647755 69.785545076618 70.2443060030152 70.3291236966585 70.6048570107375 70.7439897224582 70.7934093096004 70.799601317045 71.1581515846638 71.2659677377503 71.6054108879909 71.7003516089586 72.026062052646 72.1692344083847 72.4346682904599 72.7900421162473 73.0111208004543 73.3343658835419 73.5286066635953 73.8113851965438 74.1543969574275 74.2289419796701 74.5873466339511 74.7571877947522 75.0567777780114 75.3482061432424 75.5359303897245 75.7618834568538 75.9118078838782 76.0261624533227 76.3812568149516 76.4879516128108 76.7962739165894 76.9558605938918 77.2184494463154 77.5815360056527 77.7971788752941 78.0212365263314 78.2750703790127 78.5971125428492 78.6844678802183 78.7071795006837 79.2787016268934 79.4262830005968 79.8561324185996 80.0998818927252 80.3029158238539 80.5051815429186 80.7467809845567 81.232824849753 81.2271581727851 81.5123287264807 81.9429827672192 81.5692291055771 81.9545453308911 81.9322152288144 82.0596172798915
Euro area EMU Prevalence of undernourishment (% of population) SN.ITK.DEFC.ZS 2.58969067518951 2.58270898822917 2.5765309548588 2.57128121777511 2.56515950035973 2.56806983154007 2.56124577911722 2.55317283411122 2.53686217763795 2.53021999614644 2.52850240377842 2.52891711419322 2.53316291766011 2.55820562833745 2.56913718607983 2.58029825198885 2.56851842871149 2.57232034535745
Euro area EMU Share of youth not in education, employment or training, male (% of male youth population) SL.UEM.NEET.MA.ZS 9.28861392190411 10.4448642378867 11.4418045246707 10.4220350472497 9.93513089599147 10.2956090166652 12.7037794303513 12.7708868396697 12.6388650699642 13.2207986980572 12.9695059175783 12.6271920066641 12.2165577202113 11.6190393179496 11.2248339131592 10.5916733827829 10.1741280462686
Euro area EMU Unemployment, youth female (% of female labor force ages 15-24) (national estimate) SL.UEM.1524.FE.NE.ZS 24.8242817951297 27.5884189573815 27.572301749477 27.3094499080614 26.5289098518671 25.6982869500779 23.6468074607518 21.7804356611099 21.423917043756 22.3551857797944 25.3877930836644 27.0230799802452 27.6113469029965 28.0580493442522 27.8473467333617 25.5497600211325 24.3457146312907 21.5227068738387 19.1324214460782 19.3558681644858 19.0549759637392 19.5420650825117 20.0728257366666 19.1575104724993 17.4188516728451 17.3820842517749 21.0797824553451 22.4058672973217 23.4901126076586 25.8817319140409 27.3014629714109 26.8734549298037 25.3253739047813 23.9333250109854 21.4853784163282 19.4880574167834 18.2595600772812
Euro area EMU Labor force participation rate, female (% of female population ages 15+) (national estimate) SL.TLF.CACT.FE.NE.ZS 35.159973385858 37.3682934300943 38.5940399977966 38.371881641793 38.8590966009796 39.4103008840659 39.9414453047317 40.8093703700121 41.5944582995363 43.0387878320435 42.6793216923894 42.9205130897895 43.2869474768609 43.4024156101071 43.7596531086216 44.1201328899411 44.6067427102387 45.2726001904338 45.6522607715586 45.68295069255 46.3134993638033 47.0471285765361 47.3562751057641 48.000057503541 48.5385591123921 48.9833813665727 49.4520698969362 49.7430338263359 49.8992829908661 50.1412484992875 50.5839472202912 50.7271270659768 50.7696000902833 50.7584243134069 51.1337324755194 51.2725178436915 51.3845329426982 51.6480437152677
Euro area EMU Children in employment, total (% of children ages 7-14) SL.TLF.0714.ZS
Euro area EMU Employment in services, male (% of male employment) (modeled ILO estimate) SL.SRV.EMPL.MA.ZS 50.3924067521965 50.9426201771014 51.8537770143296 52.387209858263 52.7679246116362 53.3174524286848 53.5505487932659 53.5669193060597 54.0213103847652 54.4093882896368 54.6633072219917 54.9886871745341 55.4953728980908 55.9769406060043 56.4587262650698 56.469409473625 56.6707919385728 57.5522938347285 58.6947121130964 59.5573107771915 60.0877928538432 60.6180891766871 61.3366332398106 61.632508811911 61.7799859780687 62.0169629027154 62.1831204218724 62.3415592534213 62.4918900806449
Euro area EMU Contributing family workers, male (% of male employment) (modeled ILO estimate) SL.FAM.WORK.MA.ZS 1.41123857806012 1.33692004281703 1.35753986407062 1.37856203042236 1.32490569327145 1.27945885367294 1.22243482641145 1.19487863808024 1.11418080995093 1.03861041292021 1.00899005760867 0.979463786595457 0.985593139221079 0.912528259640859 0.863053569823192 0.818836768550775 0.789233764712433 0.74350443742435 0.705407792407803 0.695200343990026 0.664176983591597 0.634172336928072 0.588869924947684 0.569391944689013 0.541714060233374 0.52552265538361 0.48850211488985 0.452063959119498 0.438131243719316
Euro area EMU Employment to population ratio, 15+, female (%) (national estimate) SL.EMP.TOTL.SP.FE.NE.ZS 34.7370331513481 35.4429313303949 35.581251943865 34.0073129427094 34.3660863940009 34.8781487473575 35.4121601048379 36.9497006094411 37.9631275970769 37.6574370096377 37.1969238669637 37.1928740753788 37.3767880752215 37.6178427891445 37.8266495361684 38.5815571469052 39.5621270158945 40.4240610392406 41.1523071319497 41.684038164992 42.278759875853 42.4409144607264 43.1393846728235 43.9597598124607 44.8354854138873 45.3598618046301 44.9120970974696 44.7838862715513 44.9460645657765 44.7939772359188 44.6141969196995 44.7889251249555 45.1580548432994 45.8382091169874 46.4376212137823 46.990918910747 47.5570911302986
Euro area EMU Employment in agriculture, female (% of female employment) (modeled ILO estimate) SL.AGR.EMPL.FE.ZS 6.70016038301646 6.50217933658956 6.12358733421952 5.841193828439 5.57318170874975 5.24278722957608 5.21666386603599 4.87102970724247 4.60872352922629 4.33558759832235 4.17535747830939 3.98789632021846 3.84195754024688 3.52497580017771 3.42915043033691 3.30414812289934 3.12842169879586 2.79911393368531 2.75241718429738 2.67057564348137 2.51934796385974 2.43965800334243 2.30818878494627 2.24230294964721 2.13604225935003 2.04886978572407 1.99715773438554 1.90665932558299 1.85948224135327
Euro area EMU Multidimensional poverty headcount ratio, household (% of total households) SI.POV.MDIM.HH
Euro area EMU Income share held by third 20% SI.DST.03RD.20
Euro area EMU Current health expenditure per capita, PPP (current international $) SH.XPD.CHEX.PP.CD 2164.91033422489 2298.46586272319 2449.37004851856 2549.34187003287 2661.74417264436 2786.50182914353 3006.10196292636 3149.84568677949 3375.7909481269 3552.16398921927 3639.33013955204 3761.41776018337 3825.98514278204 3970.24430713191 4073.02452989619 4168.68506971893 4354.68764181356 4572.26844105627 4699.66297652704
Euro area EMU Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SH.UHC.NOP1.CG
Euro area EMU Prevalence of stunting, height for age, male (% of children under 5) SH.STA.STNT.MA.ZS
Euro area EMU Maternal mortality ratio (national estimate, per 100,000 live births) SH.STA.MMRT.NE
Euro area EMU ARI treatment (% of children under 5 taken to a health provider) SH.STA.ARIC.ZS
Euro area EMU Use of insecticide-treated bed nets (% of under-5 population) SH.MLR.NETS.ZS
Euro area EMU Children (ages 0-14) newly infected with HIV SH.HIV.INCD.14
Euro area EMU Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%) SH.DYN.NCOM.FE.ZS 10.166184752036 9.13370945411426 8.45212258107953 8.02282897302443 7.89730316246802
Euro area EMU Number of deaths ages 20-24 years SH.DTH.2024 21193 20713 19946 18979 17993 17087 16287 15594 14996 14439 13876 13353 12816 12266 11700 11136 10616 10127 9647 9163 8668 8158 7657 7188 6798 6519 6364 6290 6256 6228
Euro area EMU Women who believe a husband is justified in beating his wife when she burns the food (%) SG.VAW.BURN.ZS
Euro area EMU Government expenditure per student, primary (% of GDP per capita) SE.XPD.PRIM.PC.ZS 17.089975 18.204205 17.52698 18.87409 20.379025 18.612895 18.620425 18.70023 18.172645 19.04052 18.97337 21.27594 21.9884 20.85975 20.41177 21.38818 21.20796 21.6772 20.279965
Euro area EMU Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.DO.ZS
Euro area EMU Trained teachers in secondary education, male (% of male teachers) SE.SEC.TCAQ.MA.ZS
Euro area EMU Secondary education, vocational pupils SE.SEC.ENRL.VO 7393989 7494898 7783290 7891374 8115655 8122878 8539078 8789899 8967036 9200980 9312625 9364485 9522481 9603995 9459916 9382250 9705941 9623443 9469806 9261729 8965896 8976661 9099141 9253011 9849511 9738655 9647973 9207153 7529047 7434694 6392503 6555739 6656215 6604104 7915461 8111982 7632679 7594763 7650910 7451562 7530413 7473727 7345588 7094731 6937312 6865455 6847218 6866506 6884519
Euro area EMU Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.LO.MA.ZS
Euro area EMU Primary education, teachers SE.PRM.TCHR 1134471 1149977 1183838 1179783 1197213 1204193 1202453 1215030 1214250 1207906 1197460 1177401 1159298 1137033 1123325 1129079 1149609 1143326 1146866 1141834 1148956 1173333 1168086 1186082 1225697 1196440 1232970 1237144 1232046 1241253 1272022 1277155 1288650 1285004 1286557 1314540 1328759 1361471 1371892 1379342 1398201 1414911 1395225 1379965 1361572 1374416 1399356 1410763 1430413 1428416
Euro area EMU Over-age students, primary, female (% of female enrollment) SE.PRM.OENR.FE.ZS
Euro area EMU Primary education, duration (years) SE.PRM.DURS 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5.5 5.5 5.5 5.5 5.5 5.5 5.5 5.5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Euro area EMU School enrollment, tertiary (gross), gender parity index (GPI) SE.ENR.TERT.FM.ZS 0.710290014743805 0.710110008716583 0.708999991416931 0.719990015029907 0.731270015239716 0.734730005264282 0.742229998111725 0.752110004425049 0.764829993247986 0.774569988250732 0.780139982700348 0.802600026130676 0.826370000839233 0.846849977970123 0.864539980888367 0.872959971427917 0.89002001285553 0.900020003318787 0.912039995193481 0.928409993648529 0.943099975585938 0.957199990749359 0.99141001701355 1.01286995410919 1.02526998519897 1.05955004692078 1.076779961586 1.09874999523163 1.12039005756378 1.11605000495911 1.11751997470856 1.12244999408722 1.1340399980545 1.1351900100708 1.14074003696442 1.1445300579071 1.15021002292633 1.15269994735718 1.15353000164032 1.1552699804306 1.15214002132416 1.15271997451782 1.14954996109009 1.14643001556396 1.14476001262665 1.14616000652313 1.14445996284485 1.14735996723175 1.15268003940582 1.15268003940582
Euro area EMU Coverage of social insurance programs in 2nd quintile (% of population) per_si_allsi.cov_q2_tot
Euro area EMU Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) per_lm_alllm.cov_q2_tot
Euro area EMU Net secondary income (Net current transfers from abroad) (current US$) NY.TRF.NCTR.CD
Euro area EMU GNI per capita (current LCU) NY.GNP.PCAP.CN
Euro area EMU Oil rents (% of GDP) NY.GDP.PETR.RT.ZS 0.00208779781416232 0.00241457986285466 0.00291503971265543 0.00564824786570983 0.0413666461325898 0.0315917648210552 0.0322736048970072 0.0280146435696455 0.0232603395489269 0.0472613103346867 0.0560566974484715 0.047445578333777 0.030472321272478 0.0563482719095077 0.0622667096801417 0.0671141587556384 0.0207105723683241 0.0289611507725859 0.020283374659222 0.0294971191337816 0.0310947762439739 0.0136362095782244 0.0126761024529356 0.0128653444267989 0.0116973759827096 0.0108421711666478 0.0141175157500309 0.0118642864359201 0.00280493469713242 0.00892695087545539 0.0224227366010901 0.015971306244837 0.0185535219953865 0.0178905578314822 0.0201354647606216 0.0277169854112768 0.0298576936715569 0.0300530736660468 0.0352240805230802 0.0183370071050787 0.0271996821521386 0.0400453281414495 0.0425063948142513 0.0375965428659436 0.0339443872901303 0.015684261107319 0.00977846149021823 0.0142028078689024 0.0221592545590026
Euro area EMU GDP (current US$) NY.GDP.MKTP.CD 244896104747.983 269034553263.762 298896117577.017 335428228059.365 373120331332.927 407845696622.04 444997457138.376 483543249069.595 519125490808.438 579482266757.15 642870272975.841 728631782016.94 880208593110.668 1142685108120.21 1295885592532.96 1502576809244.29 1568104410401.42 1783667476515.56 2184191678846.43 2645854401363.86 2963319929222.72 2575360777647 2493440980012.83 2432534575144.27 2333292771636.38 2397100153441.77 3364199838684.01 4161029984600.46 4576289566013.91 4674511043068.41 5882985731385.23 6110858514458.96 6740490547716.28 6169116435462.44 6513051833711.73 7516521296230.29 7605554782291.42 6952385218063.23 7149193787843.13 7113969066290.85 6479499625836.77 6590446636963.66 7166146903956.65 8842875774260.72 10141431551374.2 10519142335365.4 11174369784984.6 12862413685145.5 14099137973401.2 12885825162594.8 12628837653379.8 13623185516340.3 12639557374481.5 13190250310518 13490553822082.7 11668482860489.5 11967164887075.7 12671044522003.4 13686889517984.1 13356063677260.5
Euro area EMU Adjusted net savings, excluding particulate emission damage (current US$) NY.ADJ.SVNX.CD
Euro area EMU Adjusted savings: energy depletion (current US$) NY.ADJ.DNGY.CD
Euro area EMU Services, value added (current US$) NV.SRV.TOTL.CD 3609394785825.18 4027363876864.91 3789499802592.11 4003827731591.77 4610366664621.81 4701609455110.74 4310030627515.55 4439336034773.28 4435797595024.82 4052779617611.79 4155291433045.83 4558010843784.32 5659821218280.62 6496561583715.83 6760589661291.24 7146383935612.19 8230819703984.18 9141281907029.72 8598754123026.56 8349429116162.64 8985059928045.53 8355560455813.69 8751440996484.75 8958890734768.51 7704217415010.08 7888665677259.81 8334927618768.35 9004440692883.32 8808977491050.17
Euro area EMU Manufacturing, value added (annual % growth) NV.IND.MANF.KD.ZG -1.38179435918966 -4.65473599859671 4.2724270747742 2.36438835359158 -0.148809737385832 3.94305795279477 2.97155490826995 2.44359718984386 5.81791060631929 1.62447150405633 -0.446267317226344 0.647895671698961 2.67623400723048 1.85531457448708 5.20679236643575 3.87679349446832 -2.60589702564728 -14.8388241052918 9.77976299805752 4.42933276720012 -2.297859633028 -0.411004134096274 3.167287163119 3.93860040002114 2.89785807856593 3.86711985172632 1.61481722730043 -0.864300070510794
Euro area EMU External balance on goods and services (constant LCU) NE.RSB.GNFS.KN
Euro area EMU Changes in inventories (current LCU) NE.GDI.STKB.CN
Euro area EMU Gross national expenditure (% of GDP) NE.DAB.TOTL.ZS
Euro area EMU Households and NPISHs Final consumption expenditure per capita (constant 2010 US$) NE.CON.PRVT.PC.KD 9875.91941980684 10318.004933574 10773.0331904284 11261.0994122231 11448.658342371 11649.7998137082 12151.9682665726 12508.3359194666 12839.0812422771 13270.0807736208 13509.9661620546 13524.3581361363 13591.7152151165 13687.8327262409 13842.0584025423 14108.4173689831 14567.5170313141 15051.526837254 15528.5456606788 16031.7769053994 16472.2137146198 16841.8765885595 17097.3914005322 16898.8157946834 17119.5352599251 17382.7595272174 17699.8979839184 18004.8832661662 18553.3520535777 19129.0615200868 19627.0659312714 19915.153785015 19975.5009676717 20102.9513535357 20343.3514065344 20640.8040203335 20966.665153391 21238.6567379847 21191.008530814 20887.8303082332 21020.1428628511 21085.9144798322 20819.0584525705 20616.571331754 20730.0767176056 21052.252617545 21414.1711885848 21755.9260070723 22029.8277739713 22267.1802053421
Euro area EMU Military expenditure (current LCU) MS.MIL.XPND.CN
Euro area EMU Secure Internet servers IT.NET.SECR
Euro area EMU Periodicity and timeliness assessment of statistical capacity (scale 0 - 100) IQ.SCI.PRDC
Euro area EMU CPIA gender equality rating (1=low to 6=high) IQ.CPA.GNDR.XQ
Euro area EMU General government final consumption expenditure (annual % growth) NE.CON.GOVT.KD.ZG 5.63976560262971 5.0206143087383 5.21898784523034 5.05709190143628 4.87227223269302 3.81807588390934 3.23043298181207 4.67438843745592 3.51232444532302 3.51317461692729 3.62566317168984 1.84929356018324 1.91974850293393 1.40811315630755 2.52396154503663 2.22353343843855 2.9214911888986 2.38598443312084 0.975589987317633 2.72085894805601 3.15930829530696 2.87620739456955 1.16184168588799 0.972911621223105 0.766307827612664 1.75549799702239 1.23339254343013 1.89713098035524 1.7951804640403 2.47854396729805 2.52024699799158 2.11131683757762 1.88960623461887 1.36275971588799 1.56922159023576 2.08790122195029 2.2394496488742 2.57566776131976 2.38360362304795 0.791276612753734 -0.127804548346589 -0.321005869995261 0.194347130304152 0.749296848002714 1.29359729401352 1.87421819055749 1.05404389373287 1.17533550203939 1.83717382164798
Euro area EMU Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) LP.LPI.ITRN.XQ 3.38555555555556 3.27894736842105 3.37105263157895 3.40803315789474 3.50753957894737 3.40578947368421
Euro area EMU Rail lines (total route-km) IS.RRS.TOTL.KM
Euro area EMU CPIA social protection rating (1=low to 6=high) IQ.CPA.PROT.XQ
Euro area EMU Trademark applications, resident, by count IP.TMK.RSCT 373976 668657 652408 591920 668951 676384 707830 728803
Euro area EMU Investment in energy with private participation (current US$) IE.PPI.ENGY.CD
Euro area EMU Time required to start a business (days) IC.REG.DURS 49.78125 41.65625 30.28125 26.5 22.9705882352941 18.0833333333333 17.1944444444444 16 15.5526315789474 15.1578947368421 14.4210526315789 12.3947368421053 11.4210526315789 10.8947368421053 10.3684210526316 10.4473684210526 9.81578947368421
Euro area EMU Firms that spend on R&D (% of firms) IC.FRM.RSDV.ZS 9.81
Euro area EMU Cost to export, documentary compliance (US$) IC.EXP.CSDC.CD 18.8421052631579 18.8421052631579 18.8421052631579 18.8421052631579 18.8421052631579 18.8421052631579
Euro area EMU Human capital index (HCI), female, upper bound (scale 0-1) HD.HCI.OVRL.UB.FE
Euro area EMU Interest payments (% of revenue) GC.XPN.INTP.RV.ZS 2.69913627639155 2.13982841928804 2.56166292539366 3.25281191572048 3.02984737989625 3.92472063672225 4.16748308700253 4.54575966166373 4.89000278473963 5.95220339371968 6.48884206493632 7.39217016434338 9.91611422104561 10.4180730078025 9.68474986704193 9.64248566484211 9.6546379903172 9.65317658281288 5.59365943619918 8.15464698620451 9.78458789981793 8.54533495090259 8.73327515997673 8.75677177076534 8.97532952465655 8.14876704102168 7.46321727180383 7.17865815808555 6.6913970786036 6.47317779316864 6.08720976730079 6.09719437325094 5.18905095380407 4.54260061530734 4.50632758464466 4.59690579802893 5.56632461016414 5.47005384671176 5.6597041538708 5.87492464315592 5.71831724873705 5.34200986357538 5.07785583244199 4.64383114898787 4.13820667057948 3.78591301521134 3.26896207632163
Euro area EMU Customs and other import duties (current LCU) GC.TAX.IMPT.CN
Euro area EMU Net incurrence of liabilities, total (% of GDP) GC.LBL.TOTL.GD.ZS 2.76319849647778 2.99327634947659 3.43984971152887 3.97604076912368 2.9394645584908 3.00676303004813 4.4537464673606 3.973125102287 3.58125990829749 4.88463499045527 5.36266020243569 3.932984209518 3.61462259772036 3.4024971438893 1.81507091783737 3.37177048107893
Euro area EMU Domestic credit to private sector (% of GDP) FS.AST.PRVT.GD.ZS 88.2220473496275 88.3561916248187 89.2965900843287 90.2842740177524 95.1184571841723 98.8080202889513 101.792954860848 103.652320062179 106.30475209238 103.520158986518 101.649027293004 99.7089577521431 96.6984575382509 92.6346079094767 89.9393967967388 88.8823985794627 87.9164626401282 86.690834725465 86.3235039935019
Euro area EMU Claims on private sector (annual growth as % of broad money) FM.AST.PRVT.ZG.M3
Euro area EMU Automated teller machines (ATMs) (per 100,000 adults) FB.ATM.TOTL.P5 77.665 75.44 80.11 87.41 89.49 88.69 90.39 88.31 84.59 84.67 90.93 90.02 88.34 85.64 73.355 66.87
Euro area EMU Aquaculture production (metric tons) ER.FSH.AQUA.MT 220684 233396 280611 286731 305153 317854 296396 293454 339359 354561 407410 391880 474329 472817 495698 544898 520364 591456 630744 601919 619601 661714 708585 729656 733099 810998 817002 829424 843166 826507 851075 850632 822665 807407 889206 959926 997686 1006002 1119999 1144352 1116236 1084460 980889 1036926 977641 960142 984698.2 1006528.4 923158.1 963260.08 920149.305 904924.564 868568.678 830850.714 882875.655 890380.586 926380.097
Euro area EMU CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.OTHX.ZS 3.93111599414036 3.70152477354051 4.05748792992631 4.35364663226886 3.69598537201861 3.68742256083094 3.69515919726304 3.55424294116149 3.67654947963234 3.47288244268058 2.56460876631575 2.89587320389122 3.14342512959847 3.15181564190145 3.19895060449892 3.44758374472592 3.41508391655638 3.51638194540162 3.60871538810713 3.67856632549465 3.7217540285238 3.91179793415107 4.02541929707862 4.152628460171 2.75853953738569 2.87212944289075 2.92710947938911 2.9831532300989 2.67727124594181 2.45848224946673 2.4684093040043 2.53128566253939 2.51330929763845 2.49255876223659 2.50658331897719 2.62207094116132 2.76977837844209 2.68475853870895 2.66484495198425 2.45883860790693 2.4497708847374 2.38466004560153 2.33602185607834 2.02679607712042 2.06265781352286 2.2714296446548 2.27135207091641 2.20465187687111 2.20177893107815 2.14571995106105 2.19039768369854 2.0453220385486 2.01953973078593 2.02914045380646 2.05056757615993
Euro area EMU Nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.KT.CE 267254.12356 271393.11894 278624.83056 292509.73242 298174.17177 289775.48096 290194.53896 292946.48708 303161.11139 308357.67766 301534.82256 296106.15433 290425.75525 293881.97687 301401.97237 300869.53714 298194.86086 298102.12622 294687.75646 293325.59786 283293.63485 282237.26335 270492.46075 263853.3721 273327.33232 275357.38375 279779.86917 283016.52244 258914.39599 243601.47231 237070.72804 223703.23478 222289.41716 220405.9483 219254.48926 217967.59308 209336.64035 206497.46629 200047.84623 196502.74792 181649.2492 178147.808176694 175870.287453388
Euro area EMU CO2 emissions from solid fuel consumption (% of total) EN.ATM.CO2E.SF.ZS 58.5035917027631 55.9170662042232 52.7364885438967 50.1668031807788 45.2260405932165 41.7279541067144 37.7446559033102 35.0302756087819 32.2449074258147 30.147904555585 26.128938455749 22.4907388661198 19.9001090557208 18.7144137871837 19.4803045349222 18.7688969515882 18.7393037199317 19.0988460135121 18.4072272093926 19.4299463261151 20.719097533483 21.7016166325346 23.2083217109469 23.1014616235077 24.8071108132193 25.6813875528349 23.9622462506506 23.7819519849207 23.2521624222144 23.6733833177132 23.7004330514688 32.1604795274223 31.1367401590886 29.4669517001417 29.6069062320453 28.5690012136789 27.3831022273337 26.9918584569838 26.1308063381647 25.4559427950679 26.2979252385051 25.536485054405 25.8066223727341 25.8504311169185 25.8306270959532 24.9260695099864 25.194938071442 25.9702868296915 24.3149938575365 23.061252981735 23.9724910656187 25.3675571959327 26.8645193891301 26.5357841518254 26.8636816086858 32.1558655762491 30.3252974917319
Euro area EMU Fossil fuel energy consumption (% of total) EG.USE.COMM.FO.ZS 94.0215065056185 93.9517693484025 94.1451004176502 94.5093599393439 95.003746861091 95.0281306300187 94.3453581825716 94.7014071935444 94.939650447983 95.1718439289899 94.3354076297096 94.184446382192 93.5220181247653 94.3289206936854 94.1121028817842 93.2247745013194 93.8871932018976 92.5654616030068 92.4279904380114 92.0464775907067 91.2398458058054 89.0771243145471 88.0132458391897 86.5258489956416 84.3369876874439 82.5424083658352 81.8050282832786 81.4856273751494 80.5312638018514 80.1759651961106 79.5667672276766 79.3316242879225 78.5481265816602 77.853870556003 78.0174319320505 78.0660971821766 77.7482246282038 77.3788692063201 77.8039205604772 77.3487095763229 76.8388537717862 76.7761441918038 76.6043683229261 76.4432863318021 76.3220432715407 76.1114575288107 75.5805138031328 75.2127589701101 74.3904873323779 73.4728205894215 72.7811999660712 72.3345576616959 71.6958020175944 70.8471510167873 69.416604938498 69.9548544285775
Euro area EMU 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
Euro area EMU Net ODA received per capita (current US$) DT.ODA.ODAT.PC.ZS
Euro area EMU Net official flows from UN agencies, UNFPA (current US$) DT.NFL.UNFP.CD
Euro area EMU PPG, official creditors (NFL, current US$) DT.NFL.OFFT.CD
Euro area EMU Present value of external debt (% of exports of goods, services and primary income) DT.DOD.PVLX.EX.ZS
Euro area EMU Net ODA provided, total (% of GNI) DC.ODA.TOTL.GN.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Japan (current US$) DC.DAC.JPNL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Belgium (current US$) DC.DAC.BELL.CD
Euro area EMU Foreign direct investment, net inflows (BoP, current US$) BX.KLT.DINV.CD.WD 2687319465.70257 3892857216.65994 5017927465.96209 6553991931.87475 7696387690.87717 6247329414.66466 5074944909.45442 7248983511.66335 9372703584.60218 10307935884.6312 10484468783.2625 9512933191.48372 8274369139.79258 9337466556.88046 9314912357.69604 9960639373.02782 13220773735.0798 23114251787.6164 33951312059.5043 45551979409.2364 60745451145.9359 55020865055.5744 60351966847.226 59194428865.0854 56543235732.1735 79799726661.983 93626163768.6674 90990870778.1422 173217334805.789 352402487688.034 555032214051.266 320365328198.431 253270736526.702 268978093220.539 270126278138.972 632976939310.571 817910758904.851 1281457260369.11 657121847577.391 438150611675.83 536184275609.389 818245641430.44 566198077929.318 596190069709.035 383405673381.563 742612190987.863 604818333307.621 504657965401.873 -36751503691.6405 178526784388.195
Euro area EMU Net secondary income (BoP, current US$) BN.TRF.CURR.CD -48889492965.5861 -49827519134.4295 -46461114398.6839 -46640679086.326 -63116353784.0005 -73731891986.5478 -92035498142.562 -100272161823.287 -120132224784.448 -189047063737.711 -181935246533.957 -180785835210.678 -186403480085.437 -178056114290.847 -193772710262.829 -190946561338.333 -150957851932.9 -153638119675.731 -153162259473.435 -176967427275.275 -169172550528.139
Euro area EMU Transport services (% of service imports, BoP) BM.GSR.TRAN.ZS 30.905806213585 34.7843166084197 33.2854597423732 32.6333725591626 33.2065379363777 31.6579579271473 33.2175838423229 32.3298011978508 31.9747851539566 32.6891494259721 31.4671080460765 28.8231386661339 28.4404826179597 29.1282877138678 29.784032767088 26.7912714898409 26.5890473310276 24.6362769023823 23.9938492824066 24.7489568667238 24.6652471434982 24.393832692368 24.2645124116077 23.8502779754092 22.8899543205321 23.1681864961893 22.45997004306 22.8750423810742 22.3567665362374 22.9730618677422 21.0123930799754 21.2395784722481 21.5992712262182 22.0465960908364 19.0935120623621 21.0478937774602 20.9571661316833 20.4164132869704 19.6044231842579 18.3567922154276 16.8996397616729 16.3933007369185 16.6774770849466 17.172977062471 15.7826469606035
Euro area EMU Agricultural machinery, tractors per 100 sq. km of arable land AG.LND.TRAC.ZS 336.677108962172 367.604391941777 400.940530874393 438.705111078614 469.780797013455 506.726718717687 537.18657906921 571.40247031908 599.71017180023 626.177644777433 675.682884646591 699.52169246543 723.46309494573 741.802273403376 763.915518508756 785.990079594316 807.984574257942 825.037591279297 848.004800206591 877.729696413481 892.602628785302 907.817127071252 928.64012598894 935.399985747163 946.085351432727 956.897160603322 964.978933193579 983.805921967545 988.686937845079 989.354505652315 990.817264584005 920.575130519237 909.258685200145 914.059066241485 931.486218885461 926.429731429009 924.805558117054 929.62670567318 930.67208552954 934.728092342775 1002.56640722381 1019.43234675691 823.165024517768 819.452688833657 814.62270873042
Euro area EMU Arable land (hectares per person) AG.LND.ARBL.HA.PC 0.291886776896891 0.288798560868236 0.285535962277284 0.279764058883604 0.275912011048763 0.26991720774362 0.266769651718366 0.262752730730861 0.260995336884049 0.256308628578725 0.246638830623241 0.243951051032219 0.240725254031831 0.239324651096936 0.237532181590307 0.235427764084944 0.234554348234269 0.234484497796335 0.233271104655093 0.231459741915217 0.23062919338563 0.230106028094903 0.228102047034013 0.22845502549175 0.227815533547329 0.227564456357012 0.227180286178159 0.225319967950514 0.224169150783873 0.222707868498929 0.219645493589693 0.229698444069483 0.229264331613158 0.227087051546092 0.221792069580413 0.222439841154343 0.220906230020721 0.219087042799861 0.217992820481749 0.216379816512294 0.209205409303054 0.207331370109247 0.204787432943875 0.204624686935911 0.203481313826863 0.200080327498993 0.195361625051727 0.195451121828011 0.193673120321216 0.193427469643827 0.192547638004611 0.193838785798612 0.191457027723986 0.190119031955064 0.188928027521885 0.188009505460928 0.187544896239325 0.184928525817846
Euro area EMU Commercial service exports (current US$) TX.VAL.SERV.CD.WT 65371336501.9956 73086473561.7404 87572299534.13 111347959071.252 134480272560.854 162120233909.243 153007884666.703 146456014495.811 139771293001.067 138499672391.904 145579830691.212 183093710286.481 220693622080.213 234976364783.41 249800854910.722 322961268385.336 327520694530.079 382225818218.254 362751229003.105 376853223555.09 435028316767.675 446591346708.399 444351678131.469 471050964175.235 496382013499.67 492365336354.591 507215111886.703 560511192541.822 663742029738.996 805815017788.845 870171808403.87 965586373439.73 1149398672746.84 1308996065467.02 1161062612384.9 1189725879533.75 1344894468327.38 1326790322628.07 1437090506797.8 1562479118387.24 1458659881372.06 1497951939975.35 1660384384371.38 1846090910581.2 1865693790252.3
Euro area EMU Ores and metals exports (% of merchandise exports) TX.VAL.MMTL.ZS.UN 4.24512469451405 3.67894945059916 4.00329425338951 4.30868107491311 4.70098760185357 4.46894456593673 4.53576592983171 4.27321150467701 4.09390251225262 3.31482202637569 3.03722151105437 3.34980803492541 3.93826878265754 2.90867693485243 3.06854091962933 3.03861401459031 2.90744105171127 3.24396271513579 3.70431014948127 3.10513005502761 2.80774553381466 3.10388887189257 3.17794958418491 2.93526709068699 2.54677934791733 2.49615454981612 2.78289536940873 2.99653274895006 2.54412103515486 2.36800280660791 2.26910390367429 2.29085215089692 2.31574588111344 2.50102304014399 2.27163335677221 2.35089074581332 2.1780681881688 2.16608254807147 2.25893613375378 2.16692549347746 2.05545046567476 2.00738494123782 2.24407534444481 2.38028910040882 3.0987945109816 3.13420414916846 2.83066225254426 2.35520153792226 2.92337490424827 3.16275650524016 2.94517326251951 2.65174103759356 2.61685425836722 2.51461391833645 2.35377413757657 2.59657400570617 2.68096855593317 2.60235524889066
Euro area EMU Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) TM.VAL.MRCH.WR.ZS
Euro area EMU ICT goods imports (% total goods imports) TM.VAL.ICTG.ZS.UN 11.7764030602864 11.3319188787487 10.2584765530566 10.0654110832687 10.3270462063943 10.2044228384029 9.71784262473562 8.44747699955514 7.78184412691226 8.04063413389838 8.47379007575469 7.2997662674769 6.92627688522039 6.71310365547997 6.88796922342018 7.32354709812638 7.34898148128753 7.40734689202635 7.17347959055096 7.26683611114891
Euro area EMU Tariff rate, most favored nation, simple mean, all products (%) TM.TAX.MRCH.SM.FN.ZS
Euro area EMU International tourism, expenditures (current US$) ST.INT.XPND.CD
Euro area EMU Completeness of death registration with cause-of-death information (%) SP.REG.DTHS.ZS 98.9394956874899 99.4947226996686 99.9116374231517
Euro area EMU Age dependency ratio (% of working-age population) SP.POP.DPND 54.8699316392791 55.3974464749759 55.7672282112219 56.0378489069355 56.3121394654186 56.6308069464887 57.1869920363328 57.6744148152317 58.1016117630109 58.4612111306105 58.7404034510602 58.8957445887678 58.9334879611909 58.8453744359662 58.6184272658996 58.2481154327577 57.9155711225467 57.4820868294548 56.8835462673594 56.0454612794808 54.9592751901252 53.8658047529738 52.5675618497027 51.2276102603484 50.0523467383658 49.1469388671262 48.6759508941316 48.3939979504284 48.2530291987173 48.1668479065686 48.085796044121 48.1318927491539 48.1795434755972 48.2272910097032 48.2684272643663 48.2948567062984 48.3836200659118 48.4501934388283 48.5083528485858 48.5898007422778 48.7219198035801 48.8830695202755 49.0733459657216 49.2835263187088 49.4845602667956 49.6537373825571 49.9617293184666 50.2100928145159 50.4438874276519 50.7216313012543 51.0793866179314 51.623162596203 52.1950191459803 52.7987269027493 53.4133500269135 54.019464719738 54.5198887212536 55.0235852465737 55.5283600063726 56.0345936516274
Euro area EMU Population ages 60-64, male (% of male population) SP.POP.6064.MA.5Y 4.44267996443864 4.53934652216882 4.64832490419376 4.76052010094724 4.86104542948992 4.94174472013602 4.96800478571196 4.97492139027766 4.97025386779772 4.9645401423441 4.95879491938185 4.91588695825454 4.8916307288346 4.85563978147649 4.76204952411475 4.5906262307562 4.326652216812 3.98413970065734 3.64539110516287 3.42983499760118 3.4005176399022 3.51394145245001 3.78861547411378 4.14772216672304 4.48190846308899 4.72990809937073 4.88687817282574 4.98261531244277 5.03586096078901 5.0759215365922 5.11889123369334 5.12687857915795 5.12760165102371 5.13072262262306 5.14968725827789 5.19107568321357 5.23959909703445 5.31635842287139 5.40027197282092 5.45965646094491 5.47729679933149 5.42762065240314 5.33777591389081 5.24074475593458 5.18657533999317 5.20265155400178 5.26735102524537 5.39736562973314 5.56067630496815 5.70807123238466 5.81025923762122 5.86199169770461 5.87861375356621 5.88187242917201 5.90081342110372 5.95204651905481 6.00650674913288 6.08275365184992 6.17828370363677 6.29021350602232
Euro area EMU Population ages 20-24, male (% of male population) SP.POP.2024.MA.5Y 7.99444168901478 7.86203081570875 7.66761572063877 7.45902243498374 7.30737694041096 7.25351103052836 7.2838849327832 7.40557695126436 7.5712461486978 7.70869852443715 7.78032905955785 7.83118337884847 7.82271184194422 7.78135787946886 7.75057683505846 7.75714371289574 7.78648638443859 7.84481891033305 7.92965302233693 8.03254584503805 8.14640699623259 8.26292782119107 8.38477798499424 8.49742562007296 8.58157589988235 8.62642430809753 8.62963739356954 8.59878064764711 8.5355668235226 8.4436733680798 8.32553559461324 8.18545478866186 8.0168253819179 7.82952731390926 7.63972623100243 7.4589078828483 7.28695957323522 7.12711468658026 6.98290267134 6.85663901145111 6.74951499478097 6.68523683527076 6.63543958031595 6.59005433366027 6.5377361614714 6.47399688935694 6.42433266275068 6.36937284547833 6.30678864296861 6.23761814668401 6.16308341919382 6.0738263618868 5.98762250697796 5.90570069462201 5.83225791591325 5.76981022549886 5.72750475829557 5.68929135475581 5.65367869670668 5.61937465547146
Euro area EMU Population ages 0-14, male (% of male population) SP.POP.0014.MA.ZS 26.8088286041689 26.8793596900538 26.8826831445812 26.840092080073 26.792050044812 26.7518166097484 26.7676130430019 26.7538160178667 26.7150111114096 26.6481967392758 26.553390561832 26.38969913899 26.1982680230309 25.9715416928846 25.6981526015601 25.3750433835632 25.0070822199336 24.5987720764409 24.1508694245625 23.6739046349755 23.1821357636251 22.7180520402085 22.2545315835567 21.8005312983554 21.3659045622172 20.9554208571767 20.6031947986008 20.2604298149941 19.9345006882396 19.6304806128865 19.3519003896486 19.1150789215345 18.8989989309969 18.6991717236319 18.5059398870163 18.309814868605 18.0950712197043 17.8884253026377 17.6850358524748 17.4863135828433 17.2975369599572 17.1188621864774 16.9438541176469 16.7792105414519 16.631952559761 16.5019616970132 16.4356555703147 16.3789716846601 16.327486753382 16.2724245256131 16.206449899706 16.2138831799894 16.1779958938414 16.1187233825081 16.0548854746547 15.9956563285498 15.9315346461074 15.8825504671434 15.8390862050855 15.7836493999285
Euro area EMU Life expectancy at birth, female (years) SP.DYN.LE00.FE.IN 72.0804891685513 72.5073163212054 72.5118301039206 72.7366974556976 73.2464930726514 73.3620305345836 73.6625475287723 73.8436428828366 73.9391822466796 74.0033578122771 74.3693192791861 74.5382596931362 74.8923321299956 75.0082148610827 75.3878471095601 75.5945187048659 75.8942593782343 76.2901764257653 76.5290578588915 76.8782742055138 77.0825014943129 77.3796394973003 77.7133359080719 77.7822520197514 78.1740349733093 78.3228665110637 78.5931873615403 78.9095020737486 79.1033094641053 79.3489207999496 79.4980981202576 79.6582841593133 80.0224609076475 80.0829783146951 80.3932721054205 80.5389192595766 80.7456896068336 81.0384195947234 81.2107985176896 81.4011119407891 81.6223151104032 81.8982203860813 81.9262935371285 81.8516514521302 82.4431619179579 82.555988769955 82.9885391220041 83.1854206679626 83.3008660978798 83.4853849205006 83.705546581652 84.2033465004962 84.1099303923389 84.3464403086126 84.75973645407 84.2866026083759 84.6866669332266 84.5646582737019 84.7023401664096
Euro area EMU International migrant stock (% of population) SM.POP.TOTL.ZS 6.49750457485587 7.21573852428372 8.1818834834311 10.109980093318 11.8666590892112 12.2191205227348
Euro area EMU Share of youth not in education, employment or training, female (% of female youth population) SL.UEM.NEET.FE.ZS 11.268436129376 12.5166504012385 13.7905034980533 12.6877815598892 11.9882439037931 11.8333121661944 12.6778872292617 12.8836649008717 12.930138113608 13.026947979393 12.7679175587838 12.38549700934 12.031123970087 11.6213804252017 10.9776845245118 10.5243370927739 10.1030947065511
Euro area EMU Labor force, total SL.TLF.TOTL.IN 139667993 141506830 141031682 141162781 141974328 142200987 143188925 144179300 145374574 146895298 148030865 148413687 150461750 152610607 154056667 155919608 157382572 158962129 160470069 160882569 161206488 160775308 161795861 162224951 162524847 162931524 163874582 164509205 165292410 165994006 163468480
Euro area EMU Labor force with basic education (% of total working-age population with basic education) SL.TLF.BASC.ZS 45.9758010138508 45.5777557548972 44.8734216228059 44.2870750092256 44.0651141822273 43.8392623984498 40.5808933728236 41.4518286790829 41.0487668107056 39.6284756763129 39.3674796300853 39.7124769963019 39.2777105686299 39.4733846737 39.7713626270061 39.6717059637189 39.5927771040396 39.2489049178577 38.8277636967867 39.3516763292329 39.1547382597429 38.6264051649981 37.7780140415247 37.3375041333281 37.2465096693097 37.2788418676269 37.018454618581 36.8624977465672
Euro area EMU Children in employment, work only (% of children in employment, ages 7-14) SL.TLF.0714.WK.ZS
Euro area EMU Employment in services, female (% of female employment) (modeled ILO estimate) SL.SRV.EMPL.FE.ZS 73.3714483374978 74.0824408447213 74.9850336193664 75.6316805869838 76.1882216536436 77.1676589295676 77.5972732980508 77.8714209577397 78.5703348345814 79.044423571057 79.4543896074773 80.0132685825288 80.813526364453 81.5380721891634 82.1552377888498 82.6435636916166 83.0149723118779 83.9953170849016 84.7968689781798 85.2629841648414 85.4469718239358 85.6951385272664 86.0043653347807 86.1844041381388 86.4006681614229 86.583856633795 86.4773113573688 86.5228825287228 86.6037283180476
Euro area EMU Contributing family workers, female (% of female employment) (modeled ILO estimate) SL.FAM.WORK.FE.ZS 5.1397824199689 5.01064790663647 4.82233350530449 4.6672000824688 4.46354208674798 4.02066812274461 3.84730793297651 3.61852524600927 3.33745843842191 3.05353745865289 3.03687550686857 2.784794546842 2.61805575631693 2.46456840700471 2.27867617916812 2.10580023267027 1.93552011209055 1.73121773873045 1.55060498217149 1.44751074847818 1.35794288007943 1.19903924186858 1.15701274744374 1.13232871475834 1.03045017759544 0.949104582437149 0.882015336801249 0.804925084780144 0.765409688021548
Euro area EMU Female share of employment in senior and middle management (%) SL.EMP.SMGT.FE.ZS
Euro area EMU Child employment in agriculture (% of economically active children ages 7-14) SL.AGR.0714.ZS
Euro area EMU Multidimensional poverty headcount ratio, female (% of female population) SI.POV.MDIM.FE
Euro area EMU Income share held by second 20% SI.DST.02ND.20
Euro area EMU Current health expenditure per capita (current US$) SH.XPD.CHEX.PC.CD 1749.83858958732 1791.32161885674 1995.30171605919 2500.52680944904 2859.11937401411 2976.5123664991 3145.95414556685 3568.94680251295 4029.94985354767 3963.63610511154 3849.36127768286 4113.71556942997 3836.01762604825 4017.89052929277 4105.87928346261 3521.92601206378 3592.65732252905 3779.11659282165 4063.24878456844
Euro area EMU Incidence of tuberculosis (per 100,000 people) SH.TBS.INCD
Euro area EMU Prevalence of stunting, height for age, female (% of children under 5) SH.STA.STNT.FE.ZS
Euro area EMU Maternal mortality ratio (modeled estimate, per 100,000 live births) SH.STA.MMRT 8 7 7 7 7 7 6 6 6 6 6 6 6 6 5 5 5 5
Euro area EMU Pregnant women receiving prenatal care (%) SH.STA.ANVC.ZS
Euro area EMU Incidence of malaria (per 1,000 population at risk) SH.MLR.INCD.P3
Euro area EMU Adults (ages 15-49) newly infected with HIV SH.HIV.INCD
Euro area EMU Mortality rate, under-5, male (per 1,000 live births) SH.DYN.MORT.MA 10.7037268007196 10.235386311598 9.71716291677331 9.18152655130397 8.62596692725489 8.06934970203689 7.5927118759985 7.20370741133024 6.86996556760954 6.58702366022555 6.35229322114478 6.09931068371206 5.90633940981759 5.68228091749828 5.45341463895751 5.27727864069208 5.11859873868378 4.95247187246684 4.813133386327 4.70396663102103 4.58658642581317 4.48572682620593 4.38262765533693 4.30029885732794 4.21413168097122 4.16060374833486 4.13605506287997 4.13839744277629 4.10986381941834 4.07129459848579
Euro area EMU Number of deaths ages 15-19 years SH.DTH.1519 13343 12877 12280 11635 11053 10603 10278 10044 9860 9649 9361 9014 8597 8151 7690 7245 6851 6474 6111 5751 5398 5060 4746 4465 4242 4089 4008 3977 3970 3953
Euro area EMU Women who believe a husband is justified in beating his wife when she argues with him (%) SG.VAW.ARGU.ZS
Euro area EMU Current education expenditure, total (% of total expenditure in public institutions) SE.XPD.CTOT.ZS 92.3865127563477 93.0710830688477 92.6651725769043 92.2831268310547 90.4680709838867 91.2864303588867 91.3128547668457 92.8058624267578 91.9516830444336 91.7393264770508 91.6525840759277 92.7807922363282 91.3150634765625 91.116081237793 92.2680969238282 94.163330078125 93.6928787231445 93.1129302978516 93.203182220459 93.2169494628906
Euro area EMU Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.DO.MA.ZS
Euro area EMU Trained teachers in lower secondary education (% of total teachers) SE.SEC.TCAQ.LO.ZS
Euro area EMU Pupil-teacher ratio, upper secondary SE.SEC.ENRL.UP.TC.ZS 11.90193 11.92051 11.98013 12.25695 12.20721 12.24817 11.91323 11.7153 11.32153 11.23336 11.14215 11.20606 11.11823 11.16327 11.44453 11.34596 11.57367 11.51261 11.531 11.54125 11.5335 11.72853 11.90106 11.97003 11.62437 11.55851 11.55416
Euro area EMU Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.LO.FE.ZS
Euro area EMU Trained teachers in primary education (% of total teachers) SE.PRM.TCAQ.ZS
Euro area EMU Net intake rate in grade 1 (% of official school-age population) SE.PRM.NINT.ZS
Euro area EMU Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) SE.PRM.CUAT.ZS
Euro area EMU School enrollment, secondary (gross), gender parity index (GPI) SE.ENR.SECO.FM.ZS 0.94172 0.94185 0.94479 0.95356 0.94812 0.96867 0.97262 0.97879 0.98599 0.98769 0.99577 1.01175 1.00019 1.01184 1.0099 1.01285 1.01693 1.01628 1.01414 1.01325 1.0124 1.01412 1.01665 1.01516 1.00522 1.00661 1.01021 1.00552 1.00425 1.00588 1.00295 1.00548 1.00311 1.00363 1.00507 1.00425 1.00222 1.00357 1.00352 0.99574 0.9938 0.99131 0.98983 0.99423 0.99512 0.99448 0.99499 0.99144 0.99445 0.9955
Euro area EMU Coverage of social insurance programs in poorest quintile (% of population) per_si_allsi.cov_q1_tot
Euro area EMU Coverage of unemployment benefits and ALMP in poorest quintile (% of population) per_lm_alllm.cov_q1_tot
Euro area EMU Taxes less subsidies on products (constant LCU) NY.TAX.NIND.KN
Euro area EMU GNI per capita, Atlas method (current US$) NY.GNP.PCAP.CD 1091.46380834661 1196.50728046488 1318.0622545706 1454.90601583484 1595.11700919607 1731.7537635474 1886.50680198057 2079.4241154688 2277.11485724952 2498.96099196969 2897.85174122418 3721.68321385442 4620.54543983414 5327.31805861641 5648.85599326071 6067.7555578896 6888.59596414903 8544.35635982499 10260.4399524269 10160.5409990314 9199.41869233767 8199.83702146622 7970.39720408142 7983.37476974801 9225.77932425167 11809.993889081 15359.6279298971 16464.4748518134 17749.1890517107 18987.6120836022 21306.2200785311 20979.2318051424 21515.2530761905 22643.4364815778 23905.9469330235 23862.3117303137 22816.5702761502 22410.3794170454 22187.1186609529 21264.210600028 20722.6520490661 23314.4207223214 28299.2744115391 32412.1547276982 34556.0152474465 36717.753047036 39536.5761892435 39641.1548494359 39764.2736992878 40295.01038538 39268.8946908995 39470.157340057 39351.5447480777 37726.9184633218 36326.825534193 35821.4502810636 38758.0846059639 40077.6981655596
Euro area EMU GDP per capita, PPP (constant 2017 international $) NY.GDP.PCAP.PP.KD 32790.734918887 33507.5699073425 33812.6867710138 33446.7630581001 34165.9117830641 34912.4423479159 35421.0148699673 36303.0298618185 37328.311262439 38325.3629825017 39677.4688030632 40410.8558996821 40614.6539999486 40703.452419802 41417.3388067536 41913.9824683543 43083.3633543257 44161.1848618673 44128.427286457 41973.9581518638 42751.9431895117 43539.7010505622 43029.8512162243 42762.2310338646 43210.7044695154 43966.6950424016 44679.9470018363 45744.5616490923 46519.3677842682 47021.5490772412
Euro area EMU Mineral rents (% of GDP) NY.GDP.MINR.RT.ZS 0.0255926359836789 0.0175835216607767 0.0155602176016162 0.036329868119398 0.0453801945291452 0.0124402679292044 0.0200443946593198 0.0160725051032874 0.00906462982967212 0.0153230194656756 0.0197621411431736 0.0122520379583898 0.0111172712185825 0.0103567592290376 0.00701739735867458 0.0058833149538456 0.00302553736384816 0.00292358245078774 0.02495747384133 0.0287736385233222 0.00897899119798379 0.0020298941669943 0.00121993258529656 0.000705001249642237 0.00129714181021112 0.00158828551136746 0.000679647923049841 0.000628924667660259 0.000174157371143167 0.0002419156171405 0.00073646591692863 0.000418905232774338 0.000441001940335926 0.000983414309459622 0.00294032600683853 0.00533905162769205 0.0187909036022094 0.0224166349563258 0.0172352342950019 0.00851128767018863 0.020076704549011 0.0222389987020639 0.0215053025897525 0.0179576265425574 0.0167868667062337 0.0127473191723057 0.0113427365984529 0.0170139868793234 0.0175699342089704
Euro area EMU Adjusted net savings, including particulate emission damage (% of GNI) NY.ADJ.SVNG.GN.ZS 11.9497072753523 11.0565468370793 10.6164035888439 10.0504743900367 10.4098340916109 11.4339227444158 11.1508899440578 11.7726134511017 11.8981637756702 11.6255744456325 11.176647681357 11.0475502281769 10.758820621226 10.3232172168277 11.1389649905969 10.8067844423139 11.5098062941327 12.1447291217421 10.5841809819746 7.78173316219716 8.25841121674915 9.00822661553026 8.47968567681745 8.51632956974447 9.23811214747332 9.97078871656877 10.5086169665354 11.1027563146319 11.2146601949849
Euro area EMU Adjusted savings: mineral depletion (% of GNI) NY.ADJ.DMIN.GN.ZS 0.0108115549784778 0.00655722544694514 0.00621448745631544 0.0197183888025571 0.0228149602452887 0.00413751283393856 0.00492240241826898 0.00396943881276627 0.00260594774012606 0.006123700160557 0.00713999372859988 0.00299954162555667 0.00177853777016895 0.00204172712861053 0.00140475793743322 0.000900064573754886 0.000433227728285821 0.000720882860172403 0.0140514287396605 0.016747854219896 0.00480851753087277 0.00068028197168229 0.000337669393533801 7.59040497014328E-05 0.000612021661033191 0.00100140042329662 0.000377502065531574 0.000300798205422302 4.39786114837219E-05 4.15700892884133E-05 0.000175250280261164 6.60847012405595E-05 0.000180037388813224 0.000317091757228227 0.00105161840657098 0.00165056929123323 0.012987643352161 0.0139540301490951 0.00875623123747154 0.00407976904531668 0.010741550653577 0.0114137138305608 0.0111329347115384 0.00904943672782375 0.00918062788084272 0.00705226263125275 0.00637169624507874 0.00957582874758322 0.00970121804542308
Euro area EMU Services, value added per worker (constant 2010 US$) NV.SRV.EMPL.KD 76786.8384682067 78556.609513679 79307.0735245999 80861.1245384275 77942.4220689864 78435.8727586489 79753.1288490124 81169.2363318429 81170.3704634423 82083.1291656325 82633.544618694 82213.4311875545 81070.0734487626 81546.5858381983 81249.2918659595 82086.8826009738 82776.5504293726 82125.7365992351 80510.2849572774 80966.4409166376 82254.2411157206 82141.7426140669 82051.5156951608 82308.077730921 82438.0483932216 82298.9264534334 82996.8689865547 83300.2610289036 83674.7395873423
Euro area EMU Manufacturing, value added (constant 2010 US$) NV.IND.MANF.KD 1461872010189.57 1441671945214.2 1374565922198.65 1433293248819.28 1467181867467.18 1464998557983.23 1522764300132.11 1568014077434.07 1606330025366.61 1699784870284.9 1727397391132.94 1719688581137.7 1730830369021.59 1777151439964.82 1810123189641.19 1904372545702.51 1978201136664.75 1926651252083.08 1640758861664.07 1801221189704.44 1881003270069.77 1837780455230.9 1830227101584.29 1888195649628.69 1962564131038.15 2019436454256.48 2097530482272.03 2131401765847.64 2112980058882.55
Euro area EMU External balance on goods and services (current LCU) NE.RSB.GNFS.CN
Euro area EMU Changes in inventories (current US$) NE.GDI.STKB.CD
Euro area EMU Gross national expenditure (constant LCU) NE.DAB.TOTL.KN
Euro area EMU Households and NPISHs Final consumption expenditure (constant LCU) NE.CON.PRVT.KN
Euro area EMU Military expenditure (current USD) MS.MIL.XPND.CD 8586859410.27132 9407983261.62876 11112434426.7185 12183752950.9739 12774843952.8394 13259529198.2508 14056090840.7071 15022153167.0006 15093923642.9353 15882652236.3845 17064953773.2161 19352626170.9358 23768034015.2348 29845931218.063 34060704830.0857 39994939063.5294 40692553330.3747 46517671407.8282 57122991804.9582 68375675362.3856 75965772726.6073 67970186209.0032 66700869696.1041 64598553812.3569 60481254863.3716 61065558329.414 83515940528.9969 103670933287.902 109348079778.974 107248863864.776 131052000036.159 129432447254.637 136611927737.47 121289819980.769 122723219366.217 134143534022.21 134590007803.825 120510656775.221 120613099590.437 119848934338.967 106878393690.583 105478067638.574 113674093346.075 140136953818.155 159225635016.944 161064267000.963 165425890259.578 185428733243.768 208778664361.096 202853164149.324 189824560039.358 195954273674.189 180489263506.66 181812021890.364 179292725242.144 151612246937.512 159518448619.147 168560246108.515 183054320475.568 184343771162.952
Euro area EMU Fixed broadband subscriptions (per 100 people) IT.NET.BBND.P2 0.450908117351281 1.69459106445709 3.25316248668872 5.43474374470662 9.16079921364935 13.2083826740769 17.469097368999 21.4598129665667 24.108395397234 26.281505754729 27.9911480543725 29.2461760687709 30.2212683059408 31.2689413864093 32.4568841465817 33.6409758000846 34.842444811502 35.9840852360357 36.8233259778794 37.7623998377576
Euro area EMU Statistical Capacity score (Overall average) IQ.SCI.OVRL
Euro area EMU CPIA fiscal policy rating (1=low to 6=high) IQ.CPA.FISP.XQ
Euro area EMU Industrial design applications, nonresident, by count IP.IDS.NRCT 24771 22657 13236 14573 15199 17044 15030 17406 14238 11642 11019 12026
Euro area EMU Labor tax and contributions (% of commercial profits) IC.TAX.LABR.CP.ZS 32.6375 31.3823529411765 31.2470588235294 30.05 29.9666666666667 29.6111111111111 28.7421052631579 28.8157894736842 28.7789473684211 28.7947368421053 28.8947368421053 28.7684210526316 27.4947368421053 27.9473684210526 28.2736842105263
Euro area EMU Time to resolve insolvency (years) IC.ISV.DURS 1.85 1.83125 1.83125 1.79411764705882 1.79411764705882 1.77777777777778 1.76666666666667 1.77777777777778 1.76842105263158 1.79473684210526 1.85263157894737 1.92631578947368 1.86315789473684 1.86315789473684 1.86315789473684 1.86315789473684 1.86315789473684
Euro area EMU Losses due to theft and vandalism (% of annual sales of affected firms) IC.FRM.CRIM.ZS 2.3
Euro area EMU Private credit bureau coverage (% of adults) IC.CRD.PRVT.ZS 24.76875 28.3625 30.3882352941176 31.1058823529412 29.7833333333333 31.5055555555555 36.8277777777778 44.3578947368421 44.8315789473684 45.5684210526316 46.2 47.9736842105263 51.7421052631579 47.4473684210526 46.7157894736842 47.2263157894737
Euro area EMU Primary government expenditures as a proportion of original approved budget (%) GF.XPD.BUDG.ZS
Euro area EMU Taxes on income, profits and capital gains (current LCU) GC.TAX.YPKG.CN
Euro area EMU Social contributions (% of revenue) GC.REV.SOCL.ZS 36.5060865060865 37.0491803278689 34.805978934552 34.3918535115219 34.322543571324 34.7448711645358 34.81570544043 34.2971271041158 34.5826267582178 34.6066305277629 33.9038095597682 34.141192519452 35.2654972909911 37.1290551996164 37.2873916939448 32.8000122943218 33.5983709181677 31.4531520054494 36.0914192881407 37.2411322106771 37.1288539022574 38.7671818681654 34.4908847698587 34.5964975861113 33.7956864691641 32.1747652781257 32.8676819621457 32.4377643711295 31.9511189685281 32.6548799312529 33.2994878380194 32.5059729409286 32.3185472289765 31.6653254463231 31.7857295510038 32.7503263406358 33.7993350655095 34.0528783023636 33.3492908343937 33.2594046370682 32.9771450152989 32.941567660834 33.0516739020632 33.3115504785042 33.5578667615318 33.6494314959752 33.010343801467
Euro area EMU 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 76.8673858642578 79.9153213500977 79.1106491088867
Euro area EMU Deposit interest rate (%) FR.INR.DPST
Euro area EMU Total reserves (% of total external debt) FI.RES.TOTL.DT.ZS
Euro area EMU Annual freshwater withdrawals, total (billion cubic meters) ER.H2O.FWTL.K3
Euro area EMU Population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.ZS 7.18598336406532 7.23847893510442 7.22674403595269
Euro area EMU SF6 gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.SF6G.KT.CE 9699.6862168576
Euro area EMU Methane emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.METH.EG.KT.CE 0 117849.527599631 114356.073390679 112020.84516968 108566.503757745 108110.972682528 108507.693996559 110991.343672876 112594.768803864 111981.137840332 114867.985748906 113251.242811462 110852.42766254 106675.032335689 103263.833134455 100792.897589211 102654.789047139 99857.1373220051 95839.1292326627 91516.7423024829 94230.9884379729 93157.4100170136 90513.4052204905 87053.046503083 83401.6335180112 80453.7280516795 79922.7753494652 94395.7584143909 92431.0625319591 90858.7962358303 88912.2118426717 87024.221280878 85315.9307604509 83021.1336595392 83255.4468126507 83155.8140333167 82027.1552921221 81842.56418219 82558.9438735954 82083.1666609267
Euro area EMU CO2 emissions (kg per 2010 US$ of GDP) EN.ATM.CO2E.KD.GD 0.287756200872908 0.276602806178182 0.272859803220217 0.264992291417351 0.263545303108107 0.265751340784931 0.255534897816241 0.252497677104199 0.242528288241492 0.235074715040642 0.235694959659399 0.233390308393563 0.235209017429505 0.231987988661761 0.226908413090188 0.219887572058659 0.209821158952282 0.204035149395728 0.197557972037297 0.19768110633142 0.186919541515721 0.184736927693602 0.181903969801463 0.170282177411015 0.170326339795132 0.166482964957698
Euro area EMU Renewable electricity output (% of total electricity output) EG.ELC.RNEW.ZS 11.9076659142419 12.5877991274691 12.9216700375452 13.440531594311 14.6425900886494 13.5782556397596 14.0117428224156 13.5281251544659 13.6459601927433 13.617693226395 13.8974808399492 14.9017260738805 13.0357012333454 13.573396356699 14.2667512829172 13.5149794029527 14.8313764435402 15.8279436776563 17.2412213980982 19.3754612532147 21.2767408085864 21.5052175895903 24.2670151241074 27.8493233025013 29.2429528736913 28.718468796329
Euro area EMU Public and publicly guaranteed debt service (% of GNI) DT.TDS.DPPG.GN.ZS
Euro area EMU Net official development assistance and official aid received (constant 2018 US$) DT.ODA.ALLD.KD
Euro area EMU Net financial flows, RDB concessional (NFL, current US$) DT.NFL.RDBC.CD
Euro area EMU Net official flows from UN agencies, ILO (current US$) DT.NFL.ILOG.CD
Euro area EMU External debt stocks, short-term (DOD, current US$) DT.DOD.DSTC.CD
Euro area EMU Net bilateral aid flows from DAC donors, Slovak Republic (current US$) DC.DAC.SVKL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Finland (current US$) DC.DAC.FINL.CD
Euro area EMU Market capitalization of listed domestic companies (current US$) CM.MKT.LCAP.CD 149300280000 136699640000 128268990000 204655220000 199683600000 185884460000 150862100000 150008520000 183656210000 183609000000 370592770000 605940320000 623061070000 787785000000 1131326140000 1032628680000 1175843260000 1060408300000 1360191880000 1529585810000 1780703780000 2137260520000 2631184320000 3660742830000 5531040140000 5318106220000 4361068010000 3495171790000 4962662560000 5941951410000 6118058930000 8373103130000 10061904610000 4989579790000 6014921700000 5904419880000 4968199830000 5652392870000 7092409110000 6413992020000 6120621140000 6171848817911.31 7944619508357.22 5558284854500.47
Euro area EMU Exports of goods and services (BoP, current US$) BX.GSR.GNFS.CD 348701152625.338 386463954339.267 447921922392.229 545325827390.636 676989354995.051 762163978083.757 718512091734.86 693344401016.949 670220454576.937 684610680497.628 719457944039.472 902739832062.425 1083349157691.77 1199786197932.54 1279684382789.41 1565326497641.66 1556669994246.53 1688999863581.05 1541475323947.31 1711148999847.11 2097776998738.06 2149195670211.03 2124603392906.03 2224043545631.05 2230390959538.45 2257914793224.35 2300561666134.23 2460136777638.64 2942401129950.07 3563009623545.23 3828767341910.19 4299577385699.35 5098943553306.99 5662333764864.81 4528197387938.99 4924414924613 5726671794880.05 5542474007564.01 5828189607403.99 6040826226277.71 5407789696868.46 5485493254021.54 6018831083644.09 6604653941203.8 6455972018161.36
Euro area EMU Net financial account (BoP, current US$) BN.FIN.TOTL.CD -14247785487.8117 -66151983945.556 25237108091.9587 17966799056.103 16006468919.9806 108102797097.742 49195180683.4565 30475780158.8549 9824162056.77943 -325645825831.846 55619081691.3198 -24041362658.5859 -48780259697.4025 170601340027.55 429241954282.248 334234290665.468 309055403053.485 358200378250.708 398327723928.468 450245026645.569 309014176427.301
Euro area EMU Communications, computer, etc. (% of service imports, BoP) BM.GSR.CMCP.ZS 35.6329872950887 34.5487931316532 34.7757617607333 34.7068568679939 34.3018463473258 35.6573112530393 36.9445652759983 37.2827097791098 37.6305082153644 36.5870810996438 36.8260139986972 36.4759855237147 35.6009742881044 33.5530256732516 33.2337307740512 35.1423788580264 34.3200788247884 32.5406637951048 35.3405915582729 37.5824963328164 37.7436946679814 37.8269830106801 38.9219598616125 40.4054965198625 39.0454935842919 40.606046239829 42.7559782616731 42.4179402456731 42.2940706174788 43.7815526730726 46.7961390477748 45.3555220038957 46.7492382331827 47.1028662926977 49.861427817454 48.6807115685239 48.9769802080941 50.1440606150928 50.614639613006 51.5954344017638 54.9620455404941 52.6972887899987 53.2120863306267 17.3795550379058 16.9612118770455
Euro area EMU Land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.ZS 2.785190314503 2.84108195579737 2.83999322693457
Euro area EMU Internally displaced persons, new displacement associated with disasters (number of cases) VC.IDP.NWDS 67090 42880 33082 21103 37190
Euro area EMU Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) TX.VAL.MRCH.R3.ZS 4.7157885071812 4.79161094635633 4.36456058129712 3.70714524964614 3.58292104339018 3.26844025877467 3.54872095331523 3.40628679141585 3.46476883068189 3.30840496306972 3.13903817032689 3.13919852474762 2.97699355570829 2.73487399386512 3.29133252156548 3.20597801465711 2.71041352351593 2.77116234901011 2.69124055118981 2.69211906845586 2.75576594144956 2.93630946093406 2.46295145010505 1.96155081764338 1.91955306286556 1.7847596067897 1.75628392482317 1.64648533913295 1.48418134902844 1.43415213833966 1.40124645020435 1.59332248569934 1.7736067695495 2.05006759473683 2.14303267485266 2.08173747324777 2.1123958591034 2.24544061210668 2.36567392705193 2.04199727269796 2.03492737949974 2.09103153719191 1.80231798638196 1.55753236316592 1.54596633781774 1.67574193269748 1.73193860738486 1.80895471337038 1.95302502284437 1.88451673577463 2.19897940068269 2.25661800992696 2.48081593803937 2.48688363541599 2.34813270717545 2.34095731364628 2.17747181112354 2.20157739356992 2.1627274052154 2.10397454984693
Euro area EMU Medium and high-tech exports (% manufactured exports) TX.MNF.TECH.ZS.UN
Euro area EMU Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) TM.VAL.MRCH.OR.ZS 19.4581452372393 18.5157029915994 18.5261103394161 18.0334305706414 18.1895905402028 17.6578993529887 17.6273041531625 17.1495554030979 16.6621030265908 15.9443117721375 15.1609321140903 14.2762479956801 13.6385682794278 14.132113627122 18.1633375981007 16.2854225334539 16.4192393668916 16.8729437930364 15.6180031705256 15.7855628830971 16.3580140977704 15.0692588534122 15.922347255395 16.4614350185456 16.8846327115178 16.9119290534618 11.6883345656278 10.89000932025 10.388639028342 10.8402230217825 11.0119920057759 11.0032882320363 11.1300811080632 14.1149858837619 14.1900769317923 13.7902306784971 14.2922767421728 14.2008454129691 13.3893740441604 13.3610181882595 15.1034512133695 15.2192319505385 15.1872131708127 15.8401666738089 16.7910087591856 18.9863550737958 20.3046714099324 20.7939800568499 22.5383518489364 21.2215645846918 23.2453114183177 23.8201126177842 24.2402249329822 23.6112144739479 23.1093846681892 22.1348240060526 21.4955782540658 22.2281718121903 22.6240583386785 22.3990504414383
Euro area EMU Tariff rate, applied, simple mean, primary products (%) TM.TAX.TCOM.SM.AR.ZS
Euro area EMU Tariff rate, applied, simple mean, manufactured products (%) TM.TAX.MANF.SM.AR.ZS
Euro area EMU Unmet need for contraception (% of married women ages 15-49) SP.UWT.TFRT
Euro area EMU Population, female SP.POP.TOTL.FE.IN 138020273 139167442 140338159 141530383 142703948 143876794 144974500 145919153 146814395 147727779 148457460 149199931 150136575 151027462 151832358 152571048 153220127 153810414 154419360 155042743 155698645 156280899 156691248 156983926 157216406 157475133 157819358 158198299 158667064 159290833 159975426 160679284 161395365 162031478 162480725 162877459 163278614 163648240 163970112 164362831 164860644 165438288 166178392 167009404 167867353 168690330 169451544 170319923 171152443 171711722 172117071 171743933 172120853 172699613 173270754 173749422 174187216 174446501 174693792 174980888
Euro area EMU Population ages 65 and above, total SP.POP.65UP.TO 27040261 27658452 28288554 28937337 29601299 30295705 31104215 31888295 32668107 33457496 34193105 34993581 35785624 36523144 37211261 37855381 38665952 39454489 40157896 40646321 40859745 40929956 40660220 40242375 39948480 39951449 40392473 41092698 41978623 42926583 43827201 44806263 45731199 46585947 47359133 48107210 49002982 49835134 50633785 51479375 52409220 53363832 54412571 55496710 56528533 57452977 58391046 59247539 60051568 60833951 61715022 62370472 63465369 64751874 66069484 67333808 68436976 69436573 70418430 71453165
Euro area EMU Population ages 40-44, female (% of female population) SP.POP.4044.FE.5Y 5.10243208984852 5.21920569387795 5.58533487379578 6.0769917866355 6.50198784399441 6.74677018833749 6.84649955620189 6.79751125826403 6.65071784827831 6.49460293627221 6.38384634733794 6.29840506126027 6.23531544666028 6.19563285544088 6.17604044832202 6.17380889974108 6.19027441002212 6.23695861198793 6.29289085775696 6.32335927789134 6.30816442839611 6.24152275901711 6.1243780005601 5.99324026991992 5.90596825984351 5.89691909137449 5.94951517332569 6.08161232627285 6.25871006074722 6.42364991892911 6.54167974181324 6.61376484936498 6.64542821867755 6.65551923425872 6.67527312679701 6.7228267412166 6.78385156850631 6.86146400426872 6.95452599371546 7.05913150665932 7.17067646056066 7.28346719033914 7.40547009642214 7.52449192553624 7.62300313562676 7.68998171540135 7.71350523327663 7.70589558266789 7.6696358217847 7.61060771038198 7.53410535281242 7.43820864581102 7.32704226678652 7.20569316908214 7.08344080120739 6.96678597442649 6.86987271665808 6.78299310432922 6.7058881194947 6.63846311119093
Euro area EMU Population ages 15-19, female (% of female population) SP.POP.1519.FE.5Y 6.83585261605935 6.85361421847154 6.96356536621015 7.12240456937679 7.26123115617398 7.33840503015829 7.35651875605378 7.327623097488 7.27227263115314 7.22647067757498 7.21555379485868 7.2406895218391 7.28277576894373 7.34111434351189 7.41164004876556 7.49007603209152 7.580090882443 7.6796541459656 7.7773391697243 7.85451763595335 7.89800878085646 7.89812320419788 7.86375158548763 7.79746911437919 7.70455808017699 7.58907926851143 7.45735046256169 7.30421189714856 7.13648179926323 6.96447096635127 6.79685451108521 6.63968498703729 6.49025565204108 6.35284508654934 6.23208482248529 6.12938189903384 6.05015840784054 5.98962963640362 5.94076326192836 5.89353039812316 5.84204041504849 5.80506768194813 5.75736038817292 5.6967309818263 5.62438300809778 5.54432380397887 5.48230981698113 5.41000929932541 5.33052299494215 5.25053474298062 5.17605796273824 5.12360281794277 5.08169786495407 5.04660777832089 5.01449423578245 4.98439629305143 4.96525160263176 4.94644949913673 4.93064659122961 4.92149764519348
Euro area EMU Female headed households (% of households with a female head) SP.HOU.FEMA.ZS
Euro area EMU Mortality rate, adult, female (per 1,000 female adults) SP.DYN.AMRT.FE 112.953996774442 108.619452546573 110.336856898409 109.665894244973 105.240361764317 104.59513448308 102.951674175041 101.947306882233 101.385410433325 103.575319368348 98.726328315063 97.9609230933519 96.1525333562886 94.8734385254307 92.2936372569404 91.6018946308425 89.8914743392102 86.7754994715856 85.1479158806573 83.2593531756892 81.6741814933012 79.6646559724124 77.5739632640151 78.2026778837223 75.376725197731 74.2778336736883 73.247889152027 71.631886287419 70.3018349360226 69.5153412510697 70.6405821271721 70.1118214404749 68.4300400301767 68.537079093127 67.4072440499818 66.4960591936145 65.1192352680244 63.0300330231316 61.8789805583133 60.9361098574904 60.0924531153817 59.3962457181452 58.5909831868143 57.9822452154283 55.7562585798491 54.8621675656278 53.4514408455033 52.7359791961164 52.2543394395115 51.6609080921052 50.0819090354847 49.7650937657476 48.2722213188475 47.6994958107015 46.1499809554493 48.1399026032427 47.5028660665617
Euro area EMU Unemployment, total (% of total labor force) (national estimate) SL.UEM.TOTL.NE.ZS 8.22606089896703 8.35652478794701 8.96153447197751 10.5820478781639 11.7397982937375 11.367021379434 11.6562977622952 11.6583706645824 11.1921448019227 10.4393948457122 9.42597317520148 8.34799131081234 8.61431918083832 8.95951296529295 9.24665509408996 9.02057465361132 8.3127215785048 7.43647370555577 7.48159683684681 9.53798427545193 10.0705581302316 10.1098202662701 11.288868383201 11.9272313759853 11.6036094685898 10.8379272424013 10.0234006859498 9.06136954249788 8.17872518630258 7.55501050877843
Euro area EMU Unemployment with advanced education, female (% of female labor force with advanced education) SL.UEM.ADVN.FE.ZS 10.7787397957453 9.57065362307257 8.2549439947899 6.63652776686665 6.97758557303133 6.95242087836875 7.00355478205204 6.63578720772975 5.93938631432157 5.40990962438979 5.3351932793455 6.65862732551053 7.57026918195969 8.5019260284983 10.3980554618014 11.4419755108098 10.8255094822973 10.1153309649749 9.25051948100853 8.26059639311127 7.52648065314225 6.97517839610551
Euro area EMU Labor force participation rate, total (% of total population ages 15+) (national estimate) SL.TLF.CACT.NE.ZS 51.5490832685978 52.8587933825189 53.4469208570801 53.0084874996065 53.1886409778487 53.294876116254 53.3898406441388 53.7751109165263 54.3160980420233 55.0192116138305 54.4243311793049 54.280679136114 54.2839859857763 54.037872568634 54.1437691932289 54.284953227524 54.621547660394 54.9563608409364 55.0980314940679 54.9918990776124 55.3689044345001 55.7774920443009 55.7986055269182 56.2482975220696 56.5333974000078 56.7756001584598 57.0412676611623 56.9759381054654 56.8788288929337 56.8881245634722 57.1205945934758 57.0340483493198 56.9192660473184 56.8231062806753 57.0674678433141 57.1497607796564 57.21880397467 57.3506594651791
Euro area EMU Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) SL.TLF.ACTI.1524.ZS 51.3570785992779 50.0746774875943 48.2603732334678 46.6600227201862 45.4746616536673 44.4033322954918 43.57752323692 43.400463137487 43.9307604425462 44.4839492985424 44.542891704442 43.8111610580615 43.7436913543777 43.5653362078282 43.3990296732663 44.0183664723901 44.1471639883805 44.4932278270365 44.571848799955 43.6422186722479 42.4487961874731 41.8821856928683 41.2983883581158 40.819030039828 40.0720119230439 39.9084309061185 39.9095723694595 40.0831207058491 40.392196254766 40.4877641173918
Euro area EMU Average working hours of children, study and work, male, ages 7-14 (hours per week) SL.TLF.0714.SW.MA.TM
Euro area EMU Child employment in manufacturing, female (% of female economically active children ages 7-14) SL.MNF.0714.FE.ZS
Euro area EMU Vulnerable employment, female (% of female employment) (modeled ILO estimate) SL.EMP.VULN.FE.ZS 12.6218028984682 12.4732869964318 12.2859841969674 12.1734768661866 12.1044492556782 11.6956216557003 11.5564771955385 11.1951994760295 10.7704810332965 10.3149706513552 10.3712410511979 10.1102460919222 10.0064120392964 9.85433619702656 9.86205324487414 9.70536517549781 9.43070206490287 9.10312159215102 8.92770058650115 8.90147285127237 8.74679093772002 8.70259130398575 8.66055278500477 8.7450542645206 8.56350449140615 8.43557730361624 8.23094619598924 8.1182777685207 8.09180882348693
Euro area EMU Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) SL.EMP.1524.SP.MA.ZS 45.4982145979338 43.5895884417887 40.1950046045257 38.1482363095044 37.6714772693923 36.8874557511508 37.0183159496957 38.2951274986254 39.3198827233469 40.2941807986787 40.5397827891298 40.2224106929849 39.5130820766768 38.9745378321382 39.4086077373426 40.1929664538339 41.0423995090907 40.5834790930767 36.9074909600542 35.6777060076841 35.0596289432609 33.5419766729973 32.6893800811856 32.2940320069545 32.6714858640495 33.185860080545 34.1533207873094 35.4739878535474 36.1407678186189
Euro area EMU Poverty gap at $5.50 a day (2011 PPP) (%) SI.POV.UMIC.GP
Euro area EMU Income share held by lowest 20% SI.DST.FRST.20
Euro area EMU Domestic general government health expenditure (% of general government expenditure) SH.XPD.GHED.GE.ZS 13.5724453905738 13.8188130406151 14.0975886373839 14.1506484072502 14.296008638609 14.4860862459879 14.5844507027257 14.6301782453412 14.6936259243513 14.6775175010233 14.6217103688401 14.7675216035045 14.7214022400672 14.7879478965218 15.0448792561519 15.2280429818835 15.4203260557661 15.5575506940716 15.6000629768768
Euro area EMU 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
Euro area EMU Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) SH.STA.WASH.P5 0.28915392479197
Euro area EMU Prevalence of overweight, weight for height, female (% of children under 5) SH.STA.OWGH.FE.ZS
Euro area EMU Low-birthweight babies (% of births) SH.STA.BRTW.ZS 6.96093356941116 6.99089265943672 7.01771439072329 7.0425361508683 7.06544846017277 7.08947481472694 7.10981465116018 7.11979016022516 7.1384279867912 7.14465664555787 7.15279903072715 7.15652542079942 7.14902538561801 7.13735694739727 7.12938098432779 7.11694639328296
Euro area EMU Prevalence of current tobacco use (% of adults) SH.PRV.SMOK 31.2503691735643 30.3955084162068 29.8388431073712 29.3177921004299 28.8418281882851 28.3676403095533
Euro area EMU Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) SH.HIV.PMTC.ZS
Euro area EMU People using at least basic drinking water services, urban (% of urban population) SH.H2O.BASW.UR.ZS 99.8781114697946 99.8828291038879 99.8865792046818 99.8844248878162 99.8822591796521 99.8800046948789 99.8774891974843 99.8747963906791 99.8722214877341 99.8698780780838 99.8678256194328 99.8652142902929 99.8602093639512 99.8528816614419 99.8468101834122 99.8483222876831 99.8498753894171 99.8512127549329
Euro area EMU Number of neonatal deaths SH.DTH.NMRT 16839 16141 15373 14529 13698 12971 12334 11722 11159 10709 10390 10143 9893 9612 9332 9071 8822 8577 8357 8159 7963 7767 7610 7516 7449 7364 7269 7184 7104 7016
Euro area EMU Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) SH.ALC.PCAP.LI 12.7171551521093 12.2684810172529 10.9915886039973 11.325692339735 11.4021560329261
Euro area EMU Government expenditure on education, total (% of government expenditure) SE.XPD.TOTL.GB.ZS 9.09100484848022 9.5936951637268 10.6163301467896 11.032585144043 10.4257898330688 10.4029049873352 10.6316299438477 10.7087497711182 10.7472295761108 11.7600603103638 11.0814895629883 12.0958204269409 11.9001998901367 11.6563301086426 12.327950000763 11.7119498252869 11.971079826355 11.9563498497009 12.1154003143311 11.8433198928833 11.6690502166748 11.8877096176147 11.7760696411133 11.8931503295898 12.0101900100708 12.170729637146 12.1767950057984 11.8466000556946
Euro area EMU Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) SE.TER.CUAT.ST.ZS
Euro area EMU Secondary education, teachers, female SE.SEC.TCHR.FE 1034313 1088315 1119611 1164953 1202273 1215239 1229554 1236029 1238173 1248701 1262122 1271487 1269355 1267248 1293302 1326285 1347438 1383752 1418372 1371598 1368597 1367448 1352591 1363579 1400604 1462033 1469747 1478733 1489105 1516927 1509941 1530881 1524767 1528646 1527672 1524501 1510359 1501464 1505356 1510647 1548290 1564484 1571677 1573664
Euro area EMU School enrollment, secondary, female (% net) SE.SEC.NENR.FE 74.12853 75.25144 75.94666 76.42906 77.07952 77.14461 77.51494 78.01707 78.41859 79.10291 80.33742 80.90738 81.08754 81.40195 81.54465 82.60871 84.13616 86.85979 89.15218 89.35535 89.80216 89.4256 87.43316 87.08596 87.47144 88.28076 88.86846 89.40814 90.51846 91.649 92.03121 91.51074 91.97556 91.84057 91.95209 91.36812 91.12635 90.49134 90.29469 90.541 90.90451 90.98786 91.01464
Euro area EMU Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.UP.MA.ZS
Euro area EMU Children out of school, primary, female SE.PRM.UNER.FE 484476 489250 477100 496435 458967 448923 421631 429328 352017 309045 295253 301416 331915 380106 389983 379883 303901 268805 252098 239910 256513 266953 307362 295583 320538 267952 195240 172757 60566 98983 101978 104115 176066 181869 181276 109852 104481 85957 102336 105527 105515 84218 82579 90803 121112 98459 78392 92917 107430 106727
Euro area EMU Persistence to grade 5, total (% of cohort) SE.PRM.PRS5.ZS
Euro area EMU School enrollment, primary, male (% gross) SE.PRM.ENRR.MA 107.0553 107.0482 106.844 104.8251 105.9139 105.7653 104.9203 105.4017 105.2718 105.2557 104.9708 104.7236 104.3848 103.7411 103.3922 103.8786 104.3656 104.8688 105.272 105.0307 103.9727 103.2011 102.2019 102.3017 102.7477 103.2533 103.9688 103.6097 105.0622 104.679 104.5549 104.1169 103.549 103.2499 103.0941 104.1518 104.6072 104.819 104.7749 104.2414 103.8382 103.558 103.0436 103.2739 102.516 102.4974 102.1421 102.8677 102.8102 102.7667
Euro area EMU Trained teachers in preprimary education, female (% of female teachers) SE.PRE.TCAQ.FE.ZS
Euro area EMU Literacy rate, youth (ages 15-24), gender parity index (GPI) SE.ADT.1524.LT.FM.ZS
Euro area EMU Coverage of social safety net programs (% of population) per_sa_allsa.cov_pop_tot
Euro area EMU PPP conversion factor, GDP (LCU per international $) PA.NUS.PPP
Euro area EMU Gross savings (current US$) NY.GNS.ICTR.CD
Euro area EMU GNI, Atlas method (current US$) NY.GNP.ATLS.CD 294815350394.477 326234144834.904 362682474244.501 403956047641.601 446583377752.295 488311064861.087 535515911432.299 594254989463.603 654303553014.418 722008356246.476 842911451598.627 1089441754699.05 1360284996564.45 1576478749356.56 1679131052853.28 1810872163705.58 2064187206497.88 2570881394416.92 3100543146485.37 3082130359942.23 2798226189183.61 2499207768781.28 2433355364042.08 2441936528359.67 2828998858035.74 3631436006863.37 4738698235524.14 5101313241630.43 5524658519136.74 5937580800741.92 6693605948072.26 6617879770644.3 6806711315084.23 7182077970922.87 7602163201131.48 7606392532548.05 7288387876076.93 7177123415864.84 7128960646961.65 6858725921327.29 6716736558214.64 7597842472195.29 9273177128855.52 10675929040077.7 11435372942411.5 12213983020760.5 13216078133100.9 13294092970934.6 13366819415376.4 13515737998145.5 13200599988563.7 13313367471243.7 13319011274566.8 12807850431505.2 12368621238807.2 12220974827644.3 13249185962217.7 13730527132659.5
Euro area EMU GDP, PPP (current international $) NY.GDP.MKTP.PP.CD 5283351984460.15 5607451765758.43 5814466806407.72 5912186364434.14 6186700643112.48 6471381749425.37 6687056484017.48 6983778636961.27 7334371025290.53 7635280931863.11 8137299900600.31 8549133989616.85 8924411049812.55 9110161411057.98 9520520109511.63 9906748504935.66 10751970124685.4 11435379478775.7 11937004772551.3 11675280375464.2 12034741261279.5 12557362923138.8 12708395059574.1 13149769642826.5 13522018741551 13931093584365.9 14826444303250.6 15606379195392.6 16768237107390.1 17364938804178.2
Euro area EMU GDP deflator (base year varies by country) NY.GDP.DEFL.ZS
Euro area EMU Adjusted savings: net national savings (current US$) NY.ADJ.NNAT.CD
Euro area EMU Adjusted savings: education expenditure (current US$) NY.ADJ.AEDU.CD
Euro area EMU Industry (including construction), value added (annual % growth) NV.IND.TOTL.KD.ZG -0.136639677286468 -3.93324947888811 2.79078758041729 1.47941509935859 -0.164904098542124 2.00117017454025 2.22694435520559 2.31002323783962 4.55634250629645 1.39161490066226 0.0827080518141372 0.578715668188323 2.51499714006604 1.27067557585154 3.6040804368793 3.12276980914734 -1.88276846768143 -11.0737865794828 5.14420361496197 1.56449605238736 -2.22968778768782 -1.39940139295899 1.56845661039414 2.63658793664708 2.77468208256985 3.25705656800743 1.72378361111159 -0.0874608947101478
Euro area EMU Agriculture, forestry, and fishing, value added (constant 2010 US$) NV.AGR.TOTL.KD 171098347848.884 177536833113.135 170619642804.894 161149931396.878 165220976358.552 173303118648.811 177505636372.252 179323136555.486 186014376331.268 187168269654.03 182144006136.435 183441374688.335 175820290915.058 196469528313.983 180650056488.253 179710238015.073 188219756527.313 196321806249.023 196457332852.936 193098734373.352 197408343880.297 190316942911.485 194663082180.13 205149530355.756 205993510079.406 201776184560.883 202670837349.937 203764978445.74 204156580254.581
Euro area EMU Gross capital formation (constant LCU) NE.GDI.TOTL.KN
Euro area EMU Exports of goods and services (% of GDP) NE.EXP.GNFS.ZS 19.0445411784284 19.1024157277778 19.3404617384091 20.1404574626287 22.8306655283063 21.3960781735622 22.2623006425437 22.6087442769732 22.4865929226396 23.429040426418 23.7273370230464 25.3600898154901 25.4050042677195 25.7165944522491 27.5236446709121 27.7905812563334 24.8868136819958 24.2804967413695 24.7870859441088 26.0064088587839 25.8439307637687 25.9317436483389 25.6244998910915 25.5662439281006 26.9665061583019 28.539421261424 28.9416807330732 31.1423577030033 31.6099475012032 31.7790199795413 35.3574369222244 35.2761111111436 34.5767108972397 33.6881451062317 35.2153899020422 36.5284123922216 38.5026618128639 39.5527473049848 39.9128955666629 34.9916573606373 38.8769404655316 41.58607035788 43.0610156297189 43.1120417299596 43.600958163739 44.4978276154766 43.9017439792075 45.4324491746135 45.9951309437569 45.8147066775889
Euro area EMU Final consumption expenditure (current LCU) NE.CON.TOTL.CN
Euro area EMU General government final consumption expenditure (constant 2010 US$) NE.CON.GOVT.KD 970857612437.363 1025611706114.12 1077103714183.38 1133317626107.13 1190630539994.55 1248641301188.66 1296315373585.88 1338191972962.5 1400744263817.62 1449942947012.15 1500881974586.51 1555298899589.62 1584060941981.33 1614470928200.58 1637204505745.33 1678526917883.95 1715849525176.29 1765977917869.08 1808113876081.78 1825753654016.14 1875429835680.9 1934680446052.22 1990325868102.87 2013450303723.5 2033039395715.98 2048618735743.8 2084582196616.41 2110293277991.15 2150328305544.27 2188930579198.13 2243184186017.19 2299717968124.71 2348272300802.52 2392645400604.32 2425251408267.8 2463308976983.83 2514740435214.69 2571056781061.2 2637278661696.22 2700140931426.28 2721506515128.05 2718028306018.17 2709303275607.72 2714568728775.1 2734908906696.68 2770287614307.44 2822208848705.55 2851956168743.72 2885476222097.57 2938487435879.82
Euro area EMU Industrial design applications, resident, by count IP.IDS.RSCT 70162 68236 81779 91762 92788 95870 100580 100999 94891 93241 135863 121967
Euro area EMU Average number of visits or required meetings with tax officials (for affected firms) IC.TAX.METG 1.69
Euro area EMU Strength of legal rights index (0=weak to 12=strong) IC.LGL.CRED.XQ 4.63157894736842 4.63157894736842 4.63157894736842 4.63157894736842 4.63157894736842 4.84210526315789 4.84210526315789
Euro area EMU Time required to obtain an operating license (days) IC.FRM.DURS 40.2888888888889
Euro area EMU Public credit registry coverage (% of adults) IC.CRD.PUBL.ZS 11.65 11.79375 12.1764705882353 12.9352941176471 13.25 16.2611111111111 17.4055555555556 19.1263157894737 21.1684210526316 22.4684210526316 22.6526315789474 23.3315789473684 26.7 34.0578947368421 38.8631578947368 39.3526315789474
Euro area EMU Human capital index (HCI) (scale 0-1) HD.HCI.OVRL
Euro area EMU Taxes on income, profits and capital gains (% of revenue) GC.TAX.YPKG.RV.ZS 19.8717948717949 21.0400983253956 19.9547326078635 19.9098075266155 20.4555775001144 21.1462324382427 21.6829852899815 21.9980155568135 22.2792596172011 21.3446447845006 22.5433313318403 22.818713518603 23.5439615324836 20.8934952083628 21.8359521768032 22.872455939173 24.2536063114423 21.3894999702717 25.9835711197579 19.9519615692554 22.251663456443 21.1241026808151 23.9011742735819 24.0465982864674 23.2516399358994 23.9050278876335 24.6851006380621 24.8301843462448 24.2157053120678 22.5078826097502 22.996295203436 21.7292834429727 21.1080488927993 22.3422269716996 23.8112748260956 24.0423228899861 20.8808946589399 19.524202183625 20.2351887020581 20.0619623907245 21.3892702739205 22.0782153039467 22.0235880038537 21.9445089593298 19.8667394739288 20.6813005352466 22.9794967277268
Euro area EMU Revenue, excluding grants (current LCU) GC.REV.XGRT.CN
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) FX.OWN.TOTL.ZS 90.423942565918 94.6796646118164 95.3034896850586
Euro area EMU Lending interest rate (%) FR.INR.LEND
Euro area EMU Total reserves in months of imports FI.RES.TOTL.MO 4.73359680979888 4.25546848923346 4.55794261502143 5.40944622806047 6.5354569976184 5.89038193789844 4.59053368046869 5.02070409298781 4.95274137546514 4.46626545942004 4.56876534429596 4.53889713705851 5.03820920899486 4.11975850371686 4.16217387953613 3.83839863457032 3.97229062822014 3.07219898691 3.39551064425716 3.42603271963639 2.79093149122453 3.05709646540406 3.04375510858116 2.53703033371813 2.15336535133342 1.87710287225669 1.77468687852828 2.09543470787099 1.86856477813788 1.54857457374983 1.37091761779907 1.33500752776884 1.32615756710698 1.15221526446138 1.81385587115936 1.98018988688535 1.80062035726615 2.1322585297002 1.69369221053563 1.62033995004987 1.71965895317377 1.83949484756027 1.82546987041398 1.67866823310461 1.96139000727404
Euro area EMU Annual freshwater withdrawals, total (% of internal resources) ER.H2O.FWTL.ZS
Euro area EMU Population living in slums (% of urban population) EN.POP.SLUM.UR.ZS
Euro area EMU Bird species, threatened EN.BIR.THRD.NO 213
Euro area EMU Energy related methane emissions (% of total) EN.ATM.METH.EG.ZS 31.7992508081672 31.1093079799 30.4468413073328 29.2292507098727 28.7288239521075 28.7555372769001 29.0507512162356 29.0688694433607 28.6430999375743 28.9272307273476 28.4153977477769 27.9031625407646 27.0401333595117 26.2787475249513 25.5061838936085 25.7726009980898 25.1136162338156 24.5115367554147 23.6056974777364 24.0419244201501 23.7056123903015 23.4008782991807 23.0952658402306 22.686950114194 22.2224918219162 22.2254560035416 25.3984938840748 25.1410078762581 25.0865636616544 24.9102086762286 24.6554572735455 24.5813191430154 24.4021995856277 24.809414792255 25.1828115622702 25.1205140628973 25.3690106525676 25.718300552707 25.847416213321
Euro area EMU CO2 emissions (kt) EN.ATM.CO2E.KT 2652599.52518656 2585293.672 2533577.971 2521044.165 2568183.45 2633687.071 2601094.775 2648410.076 2619499.448 2637185.389 2702479.991 2701643.915 2741848.903 2766494.81 2751595.789 2752534.541 2705219.24 2641688.465 2442731.713 2496482.599 2400388.864 2351221.728 2309388.592 2191967.585 2237357.44955281 2228500.89061568
Euro area EMU Electricity production from renewable sources, excluding hydroelectric (kWh) EG.ELC.RNWX.KH 2157000000 2365000000 2420000000 2628000000 2658000000 2883000000 3941000000 4272000000 4771000000 5159000000 7908000000 8120000000 7833000000 8132000000 6622000000 7244000000 7259000000 7511000000 8087000000 8132000000 9875000000 9790000000 8604000000 8452000000 8769000000 9507000000 10301000000 10092000000 10730000000 10542000000 15423000000 16229000000 17053000000 18689000000 20202000000 22686000000 23334000000 28369000000 33861000000 37272000000 45903000000 51790000000 64815000000 77930000000 96330000000 113365000000 133336000000 159665000000 183099000000 205239000000 236871000000 283885000000 333244000000 367773000000 386341000000 426101000000
Euro area EMU Public and publicly guaranteed debt service (% of exports of goods, services and primary income) DT.TDS.DPPG.XP.ZS
Euro area EMU Net official aid received (current US$) DT.ODA.OATL.CD
Euro area EMU Net financial flows, RDB nonconcessional (NFL, current US$) DT.NFL.RDBN.CD
Euro area EMU Net financial flows, IMF concessional (NFL, current US$) DT.NFL.IMFC.CD
Euro area EMU Short-term debt (% of total reserves) DT.DOD.DSTC.IR.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Slovenia (current US$) DC.DAC.SVNL.CD
Euro area EMU Net bilateral aid flows from DAC donors, France (current US$) DC.DAC.FRAL.CD
Euro area EMU Market capitalization of listed domestic companies (% of GDP) CM.MKT.LCAP.GD.ZS 12.7013684094809 11.0476182103415 9.88553057136753 11.6592167103869 9.45401446834084 7.98639168417786 7.55844978858434 7.62474148374441 9.68062560833874 10.4742371231072 19.9920806153824 23.2324203399508 19.3611565939163 22.323520388637 31.5607577881185 22.9426312754818 25.2406878744765 20.4200868594765 27.7301663084281 29.4227704084585 29.2753636849274 35.5208861003129 47.5611034803914 64.2642673987464 79.7836309868914 84.2243871242716 66.5486717752425 49.0650328945776 56.4714149220739 58.9775527654179 59.7539954977111 76.8968336493516 80.4102415387368 36.4025968627365 58.0667278774877 58.0861891931948 45.3288139140313 55.4171988956552 66.4367470610145 59.1202798335998 64.988761405375 63.852606408735 77.4831404016858 54.5953142997479
Euro area EMU Insurance and financial services (% of service exports, BoP) BX.GSR.INSF.ZS 2.86585268308764 2.8563913861044 2.83098420206839 2.9557812086487 2.89717125818877 2.7884071341242 2.91974910490274 3.00789073313484 2.96955883526093 3.09114242609968 3.38708656436591 3.76608144662364 3.80222669479052 4.70216372087941 5.36719920345161 6.06996350224767 7.38450658717066 10.29359258391 8.99871873521847 5.15557975702052 5.22866473900919 5.40243233060083 5.66255959148958 5.06965928933631 8.31842355400944 8.7794032913946 7.96323622659529 8.94409698368866 8.42144832917093 10.2584887917104 11.1767406516044 12.8154505897478 13.2580829810996 12.5923556945411 13.1004061013621 13.1473334543866 13.1129541913945 13.5561864668667 12.7290639993999 12.1628237264305 11.9938031935272 12.013109224174 11.5240697801415 10.90833176135 10.7327839857255
Euro area EMU Net primary income (BoP, current US$) BN.GSR.FCTY.CD -36979913144.7495 -41222471063.764 -35601014512.644 -40899490468.2144 -50116793787.0427 -4692769686.88135 4824526909.06482 24566985610.9687 11341226846.4425 -100624672210.58 26137417953.134 40216931594.5167 24223468197.7274 49501647922.3046 103372796650.276 83871373736.9055 32868265612.3147 93089729426.9164 76867536192.1976 108815310301.374 83653638962.419
Euro area EMU Primary income payments (BoP, current US$) BM.GSR.FCTY.CD 277095547014.58 283378284044.882 226678600869.849 262879702488.758 269374873722.674 271932098809.843 302419480932.669 361587061491.159 386092604331.653 378806495722.188 453572718620.073 548891572446.372 723973130771.349 988195938282.636 1225666358204.91 1673933451906.43 1725542966775.14 1265884441083.5 1313837594736.42 1492040168232.1 1345622000635.05 1380988417227.79 1410551399174.47 1253087489256.62 1235849706333.04 1312036348115.14 1470784617663.36 1450271610161.47
Euro area EMU Forest area (sq. km) AG.LND.FRST.K2 916809.502349794 922699.50189203 929039.293914735 935151.314788759 941265.09728998 947379.097076356 953492.899108827 959606.889129579 965720.712371767 971834.687744081 977948.494506776 980692.907348573 983437.187744081 986181.505523622 988925.904937685 991670.298858583 995960.087982118 1000249.80874628 1004539.80203241 1008829.50204462 1013119.1922912 1015445.39895624 1017771.70327753 1020097.89971918 1022424.20465082 1024750.39178461 1027076.59844965
Euro area EMU Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) TX.VAL.MRCH.WR.ZS
Euro area EMU ICT goods exports (% of total goods exports) TX.VAL.ICTG.ZS.UN 10.0278864003137 9.29619385235019 8.22525604790316 8.08551166720956 8.24738882099459 8.27786889916455 7.81874765224579 6.61058732695704 5.86780923482738 5.69465249835737 5.53299823634883 5.05215726038966 4.71825170517281 4.55559807205502 4.68367692349587 4.79017720877607 4.89693995726034 4.87660418851694 4.74626641154195 4.78784258390986
Euro area EMU Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) TM.VAL.MRCH.R6.ZS 4.53773543365665 4.44103071462841 4.31751552967551 4.31272713305009 4.73006830765131 4.49447275842504 4.62630802990556 4.57354996218094 4.35615168711254 4.3441380422391 4.15803028587565 3.85183179478562 3.89450483327109 3.80392728418997 4.68835003634529 4.00588687282481 3.79076348549799 4.24990246169323 3.86225847635491 4.13266567238974 4.2870655110031 3.65338611998123 3.46349076127679 3.57232831745522 4.0928162986737 4.16122911792016 2.96656249300191 2.34485094347029 2.23901405759278 2.16641453313406 2.1270716552851 1.95434650398485 1.79328024807216 1.6716374598671 1.68907817293097 1.59979381659616 1.65464030473028 1.66759532815748 1.51651369436739 1.41907724033494 1.48359142441122 1.54064345018449 1.45096073032032 1.36938913081789 1.26710432880483 1.44447291514981 1.45015765273726 1.48859534554588 1.7542196418932 1.5191569444471 1.61765459116454 1.98021502621899 2.10382988243443 2.00988798169582 2.03051658295465 1.76717662577186 1.43075340499551 1.42344757219952 1.56121279681912 1.58315514755161
Euro area EMU Agricultural raw materials imports (% of merchandise imports) TM.VAL.AGRI.ZS.UN 12.3900229875198 10.2429429773646 10.1912013306024 9.13561241238724 8.946427554355 8.02817109847251 7.78332072335301 7.62870359995555 6.60695242952991 6.24552125604972 6.05822682737681 6.38083661920754 5.34545741535107 4.56202887217566 5.01613063204912 4.89176883303257 4.6149031886526 4.61285300153032 4.13980768291375 3.77547543538809 3.6147014506813 3.72572006628438 4.01510196735539 3.80715494766793 3.73019070011737 3.73059510577772 3.84281522043972 3.69295521184754 3.24646912493025 2.85612529429647 2.84671723129764 2.66839838441418 2.96940764653848 3.0835176399714 2.61814652589379 2.5658691732153 2.43348131350977 2.19517202541751 2.15030057165394 1.99100593495614 1.95421708124652 1.84999681433269 1.71290766571743 1.64920227220327 1.58393374668144 1.59516952854786 1.48316923786413 1.46597957624175 1.61890079850837 1.68459263423796 1.56362924579208 1.5789690660526 1.547097989552 1.54286864664804 1.53158995349676 1.44118386201504 1.43431179987414 1.3573136685597
Euro area EMU Bound rate, simple mean, all products (%) TM.TAX.MRCH.BR.ZS
Euro area EMU International tourism, expenditures for passenger transport items (current US$) ST.INT.TRNX.CD
Euro area EMU Completeness of birth registration, rural (%) SP.REG.BRTH.RU.ZS
Euro area EMU Population ages 80 and above, female (% of female population) SP.POP.80UP.FE.5Y 1.82093998303444 1.91636846775432 1.98823685754886 2.03690577954477 2.06437767289162 2.07348941885921 2.1827184448201 2.27053842525228 2.33419029371543 2.37194323945687 2.38461966385168 2.49681368346258 2.58141199444405 2.64098162995116 2.67937302150149 2.69975099192003 2.83731885562658 2.95236511165952 3.04550163560887 3.11908236332985 3.17647962330228 3.34421297753306 3.48632463361153 3.60388649434737 3.70005729359625 3.77935753576102 3.9676902050891 4.12857282582756 4.26641933317712 4.38770053885949 4.49595538516107 4.69928982497142 4.89009051578102 5.04325449795187 5.12083473286851 5.11007842726857 5.1241893430644 5.05313834093437 4.95136508616768 4.88645147669097 4.89307344065784 5.04312732471795 5.22762443667576 5.42325381870911 5.59930330198507 5.74438681442628 5.95185510190572 6.12479470914722 6.27406150824242 6.41103987310314 6.54677813635648 6.70404740958979 6.84107522860417 6.97676586021249 7.11861493286693 7.26626810988686 7.44601130963821 7.60803366650177 7.74187536939951 7.84159314460608
Euro area EMU Population ages 55-59, female (% of female population) SP.POP.5559.FE.5Y 5.97652923321419 6.0160722211435 6.04870557605339 6.07467365640972 6.09693717134292 6.11786844643164 6.12863372473145 6.16049427760174 6.17148338589094 6.09782610323912 5.90508920099041 5.59272085805834 5.15926316194371 4.70797329871755 4.39775972958725 4.31863973707785 4.44380115275712 4.78891336378997 5.24846828984836 5.65653165304648 5.91323421594148 6.02919224019073 6.01611198312919 5.91891767531557 5.81404005921805 5.74780893280844 5.69040596529541 5.6499960614301 5.62692295161744 5.61981345792593 5.62848653837885 5.65588533526638 5.71475426383437 5.78164742326936 5.82044850482926 5.81207323840304 5.76297816605344 5.6633913640621 5.54811060766701 5.47306312124609 5.47102186416583 5.52692844053172 5.65665582477972 5.82696870088967 5.98511504236109 6.09904489163644 6.16681515804602 6.19508418247306 6.20060244276179 6.21291998991154 6.25011169169005 6.31220577553282 6.39553833147603 6.49492532349905 6.60532771936602 6.72358206924071 6.84952740804901 6.98606528924925 7.12236055512747 7.23988313931175
Euro area EMU Population ages 15-64, total SP.POP.1564.TO 171445316 172402989 173563467 174862859 176136347 177349641 178187149 178901171 179608847 180404359 181067412 181884540 183066811 184333988 185650886 187049003 188288623 189566579 191065688 192889962 195093184 197244501 199488671 201688979 203633071 205267981 206429172 207379939 208250604 209243641 210304989 211198556 212101306 212896167 213454015 213964433 214389316 214803792 215171693 215608269 216123552 216724153 217510114 218388511 219302429 220194640 220771223 221551684 222288932 222599799 222598810 221314683 220972073 220854793 220734630 220537341 220471461 220195408 219914919 219682638
Euro area EMU Population ages 0-14, female SP.POP.0014.FE.IN 32621909 33031504 33371260 33660866 33937179 34218593 34543252 34785810 34976375 35128889 35200618 35172803 35151502 35069575 34900289 34643378 34279124 33843443 33354181 32823274 32272831 31758640 31203095 30633523 30077907 29559923 29156772 28768687 28415455 28114371 27853446 27643065 27458380 27279242 27075567 26857039 26612966 26375000 26134129 25910395 25715982 25564295 25440153 25342452 25271190 25215796 25221740 25258760 25300339 25297271 25253477 25195656 25182598 25162566 25136087 25106189 25079633 25052215 25034498 25005635
Euro area EMU Mortality rate, infant, female (per 1,000 live births) SP.DYN.IMRT.FE.IN 6.9451467105413 6.64357445287489 6.34766103794877 5.99885436113673 5.65558041109589 5.31839181962603 5.04275887989739 4.81030178697341 4.61827885107916 4.43396157295478 4.29473082760952 4.12743021963327 3.98578327179629 3.87167973852527 3.70873037393345 3.58826712457378 3.47439803991878 3.36345847879054 3.29685659676712 3.23198147980874 3.1582491257765 3.10276970058457 3.02623254329025 2.97204519467607 2.9560224979201 2.91928329824001 2.9112288250345 2.88669654711161 2.87598341466113 2.8608236572207
Euro area EMU Refugee population by country or territory of asylum SM.POP.REFG 1119086 1103257 1615234 1830062 1798687 1690386 1745495 1531415 1352387 1383674 1259995 1256800 1328001 1304826 1221457 1045265 955262 935048 966936 1012175 1024695 1022488 1057919 694802 784306 972179 1464998 1845395 2032479 2254353
Euro area EMU Unemployment with intermediate education, female (% of female labor force with intermediate education) SL.UEM.INTM.FE.ZS 16.3680184465444 15.2754852287051 13.7884709473578 11.5213035895511 11.6534716701685 11.2410511179807 11.2053704933631 10.3774170302494 9.56926840148528 8.65435782546059 8.74621395177009 11.3110044956781 12.9709103564433 14.3083393968907 16.665733429949 18.0857813958265 17.4686135995489 16.245065384098 15.2793269907689 13.9032860827698 12.8656810547426 12.0821607383525
Euro area EMU Part time employment, male (% of total male employment) SL.TLF.PART.MA.ZS 14.5902030461002 15.7746258579147 14.8919653688954 15.5956660648111 16.3222096785059 16.2939759593198 15.1905282380354 15.5943779029226 14.3775489628717 16.9191797947279 17.2065711681107 21.2545934115596 18.9930564274673 19.4294074824958 22.1211892306421 22.5273070363474 23.0200983947731 23.4959167565213 26.120635846634 24.4960173787907 24.5226656797054 25.965093143953 26.8169109659425 26.8947604352924 26.7890234778959 25.6544403753178 26.386652255185 25.9580640237922 26.1339843403317
Euro area EMU Labor force with advanced education (% of total working-age population with advanced education) SL.TLF.ADVN.ZS 82.2367933625664 81.4244685991707 81.1707895216272 81.3113812015074 81.4847827709635 81.1295557207479 79.9132741696522 79.2375028554239 79.0443195505538 78.7397246207199 78.8537232329297 78.9634642930128 78.8096131667685 78.2836464682483 78.1135881112038 78.0251118746003 78.0348605485754 77.6735349691696 77.3545080908812 77.492401899784 77.5983233352526 77.2181633218167 76.8130827823757 76.6986278102211 76.7527479990628 76.5551562257372 76.4805291660849 76.5945215766322
Euro area EMU Average working hours of children, working only, male, ages 7-14 (hours per week) SL.TLF.0714.WK.MA.TM
Euro area EMU Child employment in services, female (% of female economically active children ages 7-14) SL.SRV.0714.FE.ZS
Euro area EMU Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) SL.FAM.0714.FE.ZS
Euro area EMU Self-employed, female (% of female employment) (modeled ILO estimate) SL.EMP.SELF.FE.ZS 15.0797152850074 14.9892559820143 14.8340911069673 14.8503635471777 14.7520474790165 14.342593650098 14.2226431528 13.9215906735771 13.5396947310181 13.0633659446387 13.1098700993994 12.7851103305436 12.6886866560255 12.6683603544344 12.5558973900994 12.4650039553528 12.1932898993228 11.9003106995501 11.6603819580274 11.6022100160564 11.4337023251547 11.4054236590872 11.3926317923263 11.4139373999482 11.3086976322924 11.2113506535648 10.9630322952304 10.7529569294171 10.7291631996442
Euro area EMU Annualized average growth rate in per capita real survey mean consumption or income, total population (%) SI.SPR.PCAP.ZG
Euro area EMU Multidimensional poverty headcount ratio (% of total population) SI.POV.MDIM
Euro area EMU Domestic private health expenditure (% of current health expenditure) SH.XPD.PVTD.CH.ZS 25.7194126034229 25.4041808358906 25.4906507662885 25.7727772628588 26.2620676455786 26.1204049801072 26.4042091393682 26.5531068179844 26.5034555107962 26.0687249329754 26.1491002537088 26.7219261711716 27.081333742918 26.860197497754 26.740331262798 26.5115604772527 26.551340880582 26.3642393392044 26.2643758637525
Euro area EMU UHC service coverage index SH.UHC.SRVS.CV.XD 80.2587590774094 81.1410450394565
Euro area EMU Prevalence of severe wasting, weight for height (% of children under 5) SH.SVR.WAST.ZS
Euro area EMU People using safely managed sanitation services, rural (% of rural population) SH.STA.SMSS.RU.ZS 91.4571175950483 91.5689744775641 91.6892681147653 91.8122220055143 91.9362710093654 92.063989967807 92.1778147184893 92.2971670873473 92.4128549130154 92.4991653158038 92.5101779120043 92.5094681643801
Euro area EMU Prevalence of underweight, weight for age, female (% of children under 5) SH.STA.MALN.FE.ZS
Euro area EMU Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population) SH.STA.AIRP.FE.P5 10.3491929970337
Euro area EMU Nurses and midwives (per 1,000 people) SH.MED.NUMW.P3 7.47089748245253 8.26635746423356 9.80563521611356
Euro area EMU Prevalence of HIV, female (% ages 15-24) SH.HIV.1524.FE.ZS
Euro area EMU Prevalence of HIV, total (% of population ages 15-49) SH.DYN.AIDS.ZS
Euro area EMU Condom use, population ages 15-24, male (% of males ages 15-24) SH.CON.1524.MA.ZS
Euro area EMU Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day) SG.TIM.UWRK.FE
Euro area EMU Current education expenditure, primary (% of total expenditure in primary public institutions) SE.XPD.CPRM.ZS 94.3978805541992 94.2118988037109 92.5329780578613 92.2045707702636 92.5120964050293 92.2337036132813 91.9853248596191 91.5524749755859 91.6910095214843 91.2544860839843 92.4966773986817 91.4825668334961 91.9553604125977 94.6751861572266 94.1803970336914 94.1429901123047 94.2625007629395 93.0493469238281 93.7280120849609
Euro area EMU Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.BA.MA.ZS
Euro area EMU Trained teachers in secondary education, female (% of female teachers) SE.SEC.TCAQ.FE.ZS
Euro area EMU Secondary education, general pupils (% female) SE.SEC.ENRL.GC.FE.ZS 49.38536 49.37862 49.48393 49.62055 49.47255 49.80912 49.8633 49.97498 50.10811 50.30103 50.18206 49.7063 50.40172 50.53373 50.54916 50.55102 50.5583 50.59496 50.5156 50.50701 50.61164 50.64692 50.59554 50.50041 50.52723 50.54632 50.6091 50.44996 50.59295 50.54687 49.91553 49.94666 49.92466 49.9515 50.84969 50.79107 50.7507 50.77015 50.78151 50.70384 50.57773 50.51382 50.45498 50.44895 50.46784 50.45214 50.45942 50.40129 50.40438
Euro area EMU Lower secondary completion rate, female (% of relevant age group) SE.SEC.CMPT.LO.FE.ZS 73.5881195068359 74.3374404907227 75.2479095458984 76.1102905273438 76.6195678710938 78.7993927001953 79.1316528320313 79.5321502685547 78.7622833251953 77.8251037597656 78.1044006347656 78.6318130493164 79.6307983398438 80.7494888305664 82.0599975585938 83.8789291381836 86.1408386230469 86.4704437255859 87.5538711547852 88.8749084472656 89.3097305297852 88.179573059082 88.8551025390625 89.7065963745117 89.5753173828125 89.6782684326172 89.8452377319336 89.5004501342773 89.1631011962891 89.7342834472656 89.6667709350586 89.8268890380859 90.2704162597656 92.4033966064453 91.9459381103516 91.3317337036133 90.9375991821289 91.1972503662109 92.1341400146484 92.5190582275391 92.4838714599609 92.7584533691406 92.490478515625 92.8619689941406 93.5387802124023 93.8952026367188 93.9579467773438
Euro area EMU Repeaters, primary, total (% of total enrollment) SE.PRM.REPT.ZS 7.83185 7.83192 7.32342 6.93179 6.57106 6.14563 5.49592 5.48242 5.54847 5.49143 5.52721 5.39554 5.43695 5.30499 4.99709 4.90506 4.78698 4.86014 4.27314 4.11282 3.85937 3.78527 3.56163 3.51421 3.2756 3.19474 3.0915 3.0401 2.97907 2.9259 2.89395 2.84244 2.76675 2.70075 2.62534 2.64492 2.60737 2.57075 2.64887 2.52935 2.5119 2.4933 2.44434 2.42189 2.39588 2.37062 2.48095 2.38328 2.36981
Euro area EMU School enrollment, primary, male (% net) SE.PRM.NENR.MA 95.6913 95.71246 95.71857 95.75027 96.36984 96.75165 97.12129 97.16601 97.26116 97.29693 97.22394 97.0242 96.7327 95.98586 95.81785 96.01286 96.81076 97.00276 97.24474 97.38118 97.31386 97.10858 97.16368 97.08283 97.29678 97.60191 98.16816 97.90459 97.93536 97.70215 97.67416 97.54032 97.30076 97.244 97.96867 98.04307 98.14057 98.00857 97.72402 97.66805 97.86449 97.73743 97.74943 97.29587 97.44412 97.40056 97.26098
Euro area EMU Primary completion rate, total (% of relevant age group) SE.PRM.CMPT.ZS 95.0350494384766 95.0315780639648 95.1918182373047 95.2899169921875 95.7125091552734 97.4551162719727 97.0345001220703 97.0116424560547 96.7489318847656 96.4459686279297 96.7291793823242 96.5549697875977 96.6234436035156 96.3387603759766 96.9099578857422 97.3075790405273 97.419548034668 96.3442764282227 97.6812896728516 97.8286972045898 98.1802062988281 98.239631652832 98.6881484985352 98.6026000976563 97.7172393798828 97.0498428344727 97.0052032470703 96.7812423706055 97.1784210205078 97.5715026855469 98.2485275268555 99.2667465209961 97.9678726196289 97.8650588989258 97.2918930053711 95.8704528808594 95.9309310913086 97.4759292602539 97.6592330932617 97.4234390258789 97.3482818603516 97.1805419921875 96.5153732299805 96.2868118286133 96.2146301269531 96.9833831787109 96.1642074584961 96.4197387695313 96.4533767700195 96.4608535766602
Euro area EMU Compulsory education, duration (years) SE.COM.DURS 9.5 9.5 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Euro area EMU Adequacy of social insurance programs (% of total welfare of beneficiary households) per_si_allsi.adq_pop_tot
Euro area EMU Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) per_lm_alllm.adq_pop_tot
Euro area EMU Net primary income (Net income from abroad) (constant LCU) NY.GSR.NFCY.KN
Euro area EMU GNI (constant LCU) NY.GNP.MKTP.KN
Euro area EMU GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 5.60991718215824 5.43624586787797 5.09161610857838 4.58765841423644 4.08613017164406 4.41812856511569 4.59489396879545 4.93319087365556 6.32548563133746 5.22458872814258 3.2283821226969 4.21286471717031 5.503399386806 2.6305545977074 -1.26317897801019 4.55939786429013 2.67221357710676 2.71358119825791 3.41879539278096 1.71601452578413 0.130622966181917 0.44152558208674 1.17832573413459 2.19715064855555 2.11646011338244 2.25303820619564 2.26083735561356 3.9658697305005 3.65896103664399 3.10992323284776 2.14945842399521 0.923372308505051 -1.06137892657998 2.16236054825731 2.16605978752746 1.43655354174548 2.46658656007845 2.82695886930431 2.70887549498697 3.52726157136543 1.81425245379769 0.464887214380497 0.159370311420219 1.73894046650777 1.1638053589854 2.74700116620903 2.46287862499534 -0.0688008995774538 -4.80903522847393 1.89656787353528 1.90841568665574 -1.10906749565935 -0.587521548389873 1.04595993065392 1.73582596609758 1.60627296440809 2.37295505682256 1.67929479502192 1.06731509962606
Euro area EMU Gross value added at basic prices (GVA) (constant 2010 US$) NY.GDP.FCST.KD 4499840562106.98 4670082703604.2 4894502005667.49 5200918389337.86 5408881833052.5 5350653757171.83 5611642273061.19 5793384895187.11 5973031735566.84 6197162736504.23 6339471945866.49 6380715482475.08 6421848035355.73 6514411035638.78 6674564067589.48 6835537389537.56 7003771427606.4 7173630782072.76 7479045124297.28 7791389636482.72 8065591207240.38 8275704415560.18 8386812991947.74 8328821939228.41 8506230437618.05 8715646719649.76 8864015782763.84 9102890742980.01 9381000114694.59 9645568044002.68 10029281282246.5 10258941631829 10364166108095.9 10429727146106.5 10683735336796.7 10855751987519.6 11208433545722.3 11578095857638.1 11657954595174.7 11128640745852.1 11366313287401.9 11567516680010.5 11481184327470.5 11465883809760.9 11623076075512.7 11838437578224.3 12055972199078.4 12365951311689.5 12599681906074.8 12757865352410
Euro area EMU Adjusted net national income per capita (constant 2010 US$) NY.ADJ.NNTY.PC.KD 15550.2996793611 16047.7356681082 16747.8221778605 17581.3296052181 17545.3689869142 17324.3264066429 18070.0696440256 18517.7027213917 19186.5180127964 19730.1022649566 19629.9920814793 19299.1662270928 19374.0073196226 19644.7381398443 20066.6004793149 20532.3783330659 21552.4447772462 22157.8175605305 23104.5901532534 23865.4950881635 24620.2613800511 25050.4748254435 25316.3315341738 25005.9402766764 25520.3704471274 26156.6072240716 26559.6418746156 27222.1792110089 28083.1579387558 28873.722472679 29525.9561636839 29993.5761041631 30100.6846314407 30204.8208201482 30824.2868186995 31014.7473296659 31841.4142866872 32557.0562222884 32023.8161972783 30737.8538064698 31142.8241927334 31518.5035724792 31040.2460119935 30964.0967921937 31379.6617726435 32098.1229723644 32853.847060312 33532.2389722137 33906.1331223109
Euro area EMU Adjusted savings: consumption of fixed capital (current US$) NY.ADJ.DKAP.CD
Euro area EMU Other manufacturing (% of value added in manufacturing) NV.MNF.OTHR.ZS.UN
Euro area EMU Industry (including construction), value added per worker (constant 2010 US$) NV.IND.EMPL.KD 61034.1358383226 62317.4848135159 61866.7162387649 64946.896115846 61703.8121717992 62504.1184261109 63997.6576299689 64283.7588944781 65381.7854757005 67601.7641861325 68136.7570087248 68333.8079903604 69551.1512164121 71603.1956793118 72746.912291808 74582.7156751428 75744.8947862917 75119.5956843892 71227.7463541687 77276.2765565047 79710.7115055073 79894.2130702886 80838.0512107207 82337.6295507056 83842.9852428611 85556.8228738353 86865.5106697334 87146.6042782726 86412.7331819208
Euro area EMU Imports of goods and services (constant LCU) NE.IMP.GNFS.KN
Euro area EMU Gross fixed capital formation (annual % growth) NE.GDI.FTOT.KD.ZG 4.57614904436792 5.20629615239108 5.07858543923338 -2.16177209600889 -4.24059847963704 1.93354637812281 2.80998567978531 2.45718007668081 3.60645565267848 3.10099631627621 -3.21673968613084 -2.65666773317015 -0.318203478480825 -0.0467530184974692 2.39217875426935 4.06925261317204 4.48565657783465 8.08361556366575 7.09317454401004 5.66716460048266 1.66560781356971 0.155016631211851 -6.09719365623029 2.19063224128615 3.26886587804938 2.1095135191717 2.84182862422459 6.17551212953884 6.01361124312021 4.75993133722332 1.21756535911015 -1.15357994672415 1.16103792112949 2.40507558538468 2.77988564133338 5.38476635283153 5.16392699498536 -1.04938029072068 -10.9139558887299 -0.272899015200295 1.62105264351855 -3.19271277215491 -2.37963277816047 1.41861191952606 4.89496185065919 3.97135363589874 3.63959936353247 2.59238123004657 5.82484127827489
Euro area EMU Gross national expenditure (current US$) NE.DAB.TOTL.CD 654536885569.007 740284017094.501 891453099003.554 1161206098593.71 1323509527085.21 1525474403764.91 1605942248794.75 1819672483137.52 2208374542608.93 2705540899349.59 3080377844331.79 2651390700155.59 2554045353151.31 2470262834775.64 2355333496528.99 2413898015030.14 3353975296606.51 4175225233222.44 4598798110068.34 4712270779415.79 5920254595734.2 6147055313597.52 6761302085056.25 6101838198259.85 6429218161829.03 7406262504735.38 7475510358499.59 6804999214398.98 7015883007721.79 7022069141469.38 6430722183169.54 6494056746030.99 6990144431805.09 8668544917945.72 9920013355990.94 10350087071927.3 11027592629837.4 12664572789196.4 13935763932575.8 12674111182249.9 12436514374760.4 13405032777092.9 12270863400182.8 12726871311801.7 12970866897526.1 11145239519909.9 11436312042491 12121283373209.6 13112535633839.3 12851420313552.4
Euro area EMU Battle-related deaths (number of people) VC.BTL.DETH
Euro area EMU Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) TX.VAL.MRCH.R1.ZS 1.91602115724842 1.61621182881109 1.34681741828861 1.33169819883091 1.20043860801678 1.42377342688419 1.82244638758208 1.87044751832218 1.62622570597244 1.42186554229705 1.25051780101235 1.09686794651475 0.889081205460542 1.02793710577894 1.24734819554296 1.31582087232526 1.22026653356156 1.05026315476672 1.25604062477792 1.30569366463186 1.17449300367849 1.39475072613896 1.39811658898258 1.49474198529291 1.34068626786828 1.69824725302186 1.53844416666102 1.39085433522977 1.37041482353879 1.41923703535344 1.46026851443542 1.57783106744527 1.81684897855556 2.49589336113196 2.49481275810559 2.73998341239882 2.65340977840602 2.49086738261483 1.85576210071866 1.77132453939544 1.94657792867985 2.19848989766212 2.30561203244515 2.48081386415594 2.60235219552755 2.57266589242595 2.73489687440059 2.86325215351661 2.95919600048757 3.62292026749967 4.12195914841109 4.37543410779536 4.60343218635608 4.66498389482703 4.86020238748395 4.70502263427936 4.90759185124219 5.22224439660154 5.23240385851106 5.34568687133883
Euro area EMU Travel services (% of commercial service imports) TM.VAL.TRVL.ZS.WT 30.2971203866264 26.4598619729225 27.8092067056413 28.2867264774676 28.4487380823073 28.7956746417315 25.9470460724753 25.6660097952831 25.8032014368805 25.9070936099236 26.6226957772785 29.9359708299239 31.1388282961278 31.5616636944034 30.8900562356083 31.5074394404056 31.9702373022307 32.7965202360566 31.8897239282947 32.0765025905407 31.8794079206576 32.5649810579247 31.324019099748 30.9508849773003 30.9285289556818 29.7871762976533 28.5286243186027 28.1244271672724 28.8286871569776 26.4825209178426 26.2214905957342 25.1641159291045 24.4289675882735 23.7842669445107 24.48317473098 23.2456051427995 23.1005943611843 22.3158834474529 22.1900637541909 22.1281813712685 20.0239430333547 20.332377188285 20.7705489123168 20.7107188240055 20.9775333398735
Euro area EMU Merchandise imports (current US$) TM.VAL.MRCH.CD.WT 35778.4824973441 39380.1695750672 43679.0299241572 49360.9920857978 55032.8339902733 61171.3321973574 66730.7267999996 68236.3961715485 75406.0361364447 91510.738705021 108181.051201819 121027.030963264 145866.639938257 202707.626542011 278130.529773731 287016.115564605 331567.736550989 372100.490969848 433449.489904102 569849.191501008 684753.466879444 612854.662087183 582268.995988504 551595.620994395 556485.954151129 577552.956149612 682805.879611691 841955.919315525 937037.984326774 1024759.24896001 1273230.67840217 1314945.2539633 1380130.95483611 1184598.74392375 1345507.09583199 1638723.85993652 1673941.10584672 1646512.4492969 1761037.54431645 1788454 1913280 1882030 1950392 2380435 2851108 3135558 3557992 4175772 4705282 3562688 4002092 4688558 4351317 4419249 4469115 3835842 3833516 4264664 4740039 4552944
Euro area EMU Bound rate, simple mean, primary products (%) TM.TAX.TCOM.BR.ZS
Euro area EMU Bound rate, simple mean, manufactured products (%) TM.TAX.MANF.BR.ZS
Euro area EMU Urban population SP.URB.TOTL 164665919 167440680 170318133 173439820 176562532 179694856 182738464 185581869 188236267 190705184 192924096 195114378 197403261 199574711 201599083 203392781 204966410 206512117 208082003 209667686 211297243 212831306 213887984 214652134 215221599 215791198 216603493 217721472 218940388 220211027 221681277 223220677 224726427 226165011 227399932 228549321 229700813 230802308 231837254 233000247 234371053 235934885 237878107 239986941 242114378 244169604 246100105 248142077 250114873 251691335 253060543 253272096 254552159 256110532 257664859 259162922 260648892 261910991 263190902 264607706
Euro area EMU Technicians in R&D (per million people) SP.POP.TECH.RD.P6 914.627832613665 1185.64495295011 1188.48155850426 1290.65905746258 1337.86454399243 1344.17026018337 1398.75665349839 1398.49221775341 1525.3928870856 1573.36126230615 1643.50585681745 1698.01237432775
Euro area EMU Population ages 65 and above, male SP.POP.65UP.MA.IN 10908590 11117112 11327493 11543467 11766562 12004590 12345169 12674848 12996082 13308132 13583974 13919481 14232430 14504268 14736676 14933050 15235178 15508925 15728675 15840676 15821549 15799881 15631296 15399241 15217290 15154260 15333399 15609502 15956019 16330236 16696524 17164317 17619070 18049987 18444473 18818343 19291350 19729924 20147984 20579471 21041251 21566105 22127351 22697195 23233569 23710287 24223608 24690112 25126580 25550408 26013491 26412204 26993885 27647226 28301122 28920841 29499472 30020990 30526029 31046180
Euro area EMU Population ages 35-39, female (% of female population) SP.POP.3539.FE.5Y 7.11963501100709 7.21316050958662 7.14213348406777 6.96514459968055 6.77967554767104 6.64494848374878 6.54777512232122 6.47681060207006 6.42787020944779 6.39200294588597 6.36702694340477 6.37132792308532 6.40611957972835 6.45008587003767 6.46777452501095 6.43861292762327 6.3656504011558 6.24154167422702 6.10381327466389 6.01159746751944 5.99880797754849 6.05344922181313 6.18621054445079 6.3615452441352 6.52274931693191 6.6355120586936 6.70440248479134 6.73345971111445 6.73953991293715 6.7532228261321 6.79382128528742 6.85122881069271 6.92748282656078 7.0203741981608 7.12509539938878 7.23728403170004 7.35003108112856 7.47078637433393 7.58781739141629 7.6833064345731 7.74448202171325 7.77222289784587 7.76985704171832 7.73940539059622 7.68580903381227 7.61346924941186 7.50465266809438 7.37821400545015 7.24372517181859 7.11286409897375 6.99371369199379 6.88370083696127 6.78157697245217 6.69194822293419 6.61280008860271 6.54261434792379 6.48795973065977 6.44461539872918 6.40720564067908 6.36785257472532
Euro area EMU Population ages 10-14, female (% of female population) SP.POP.1014.FE.5Y 7.66624168350423 7.68341411940209 7.6486060741082 7.58029510870292 7.51584555392709 7.48383872488885 7.47557723730264 7.49683218261205 7.5396754882941 7.5940222699889 7.6583286606785 7.73341855043073 7.81217690205278 7.88813801832634 7.94629376387591 7.97136542726489 7.9716361025642 7.93579395766507 7.86871745781371 7.77564557754063 7.65730617252862 7.51121223510897 7.34426976514544 7.16313107098547 6.98000965785458 6.80522812759899 6.64627921266367 6.49748401443707 6.35703229203324 6.22604509686684 6.11082590967817 6.023666549661 5.95720660154126 5.90677055618031 5.86291440987666 5.81666167245969 5.76690844342965 5.7138910862401 5.65825272550978 5.59925686888536 5.53383028853286 5.46229823141277 5.38417970322276 5.30446093022116 5.22818356711578 5.15769442920456 5.09671093615318 5.04320351148027 5.00090733778526 4.96889759513481 4.94219110553969 4.92060531125197 4.90152383352381 4.88596495714463 4.87675485347516 4.87561817399579 4.88513629251208 4.90092136315177 4.92034815180552 4.93638442223547
Euro area EMU Survival to age 65, male (% of cohort) SP.DYN.TO65.MA.ZS 66.814496431985 67.1016849362161 67.3889705695316 67.5936159503932 67.7986572138142 68.0045245904607 68.2114310475672 68.417254217003 68.6858272476481 68.9541515895896 69.2232681632704 69.491750024088 69.7580741127256 70.0676251708261 70.3763355264474 70.6836175979815 70.9929551722756 71.3036281524896 71.6863276908318 72.0693357934763 72.4523324367758 72.8346196325214 73.2164085137127 73.6407364055825 74.0648003465527 74.4885403656122 74.9119653265543 75.3342320949055 75.6232886694162 75.912725304392 76.2045462247178 76.5022642447378 76.8044221337821 77.3111664570658 77.8151156469214 78.3161168318962 78.8136030405066 79.3098014787885 79.7635390716692 80.2140807078014 80.6640681710101 81.1176230291933 81.5715348811876 81.9415579223251 82.313840730682 82.6866203381753 83.0594862096274 83.4335735657435 83.7755283384862 84.1160709142428 84.4578063385683 84.8004957523563 85.1385651170743 85.3590405260005 85.5782898849296 85.791853874631 86.006430516244 86.2234217411644 86.4621588142734
Euro area EMU Vitamin A supplementation coverage rate (% of children ages 6-59 months) SN.ITK.VITA.ZS
Euro area EMU Unemployment, male (% of male labor force) (national estimate) SL.UEM.TOTL.MA.NE.ZS 6.18645711750334 6.47078037909866 7.01481680147056 8.89860121184576 9.95833250390959 9.42956870688223 9.87259913379527 9.99154558054855 9.47574261151809 8.79251011677892 7.8975808212387 7.16000299571947 7.55839636470056 8.04558377470455 8.35191372517943 8.14623322811668 7.41781437895347 6.60494400003393 6.84510634907402 9.3911378973798 9.9224733307548 9.90030747820308 11.1490348116128 11.8212461563559 11.4506893526336 10.6716954196962 9.72151550251347 8.72750014401951 7.84465689221449 7.22922682102372
Euro area EMU Unemployment, youth total (% of total labor force ages 15-24) (national estimate) SL.UEM.1524.NE.ZS 22.0591694887636 24.34847168715 24.2867403553101 23.8054730072292 22.9944354490818 21.9463017769053 19.6299791500153 18.1413048501394 18.2407985017962 19.2368026034461 22.9952047751806 25.0308050999228 24.6219085080136 25.2184040147138 24.9562890708782 23.0615454789384 21.795979386221 19.2827497641903 17.2585282787905 17.5869973310728 17.9146145745691 18.596262235024 18.8862919407921 17.6822847769388 16.1066183794109 16.6465700393823 21.5360600453371 22.6342260459673 23.2961112964058 25.9780368064991 27.2950550263309 26.9433314488251 25.443172188167 23.9525473227771 21.5891233963447 19.5654697596498 18.2069215269734
Euro area EMU Labor force participation rate, male (% of male population ages 15+) (national estimate) SL.TLF.CACT.MA.NE.ZS 69.2732048610456 69.8718279856847 69.8367786678446 69.1148148802423 68.9731840280899 68.5415535364013 68.1270922022428 67.986388014986 68.2162102381078 68.1288567180247 67.2183383360912 66.614247665525 66.2153381539524 65.5876535454688 65.4069240381613 65.2951153880783 65.4390048191046 65.4051567673034 65.2758417256108 64.9930396057541 65.0869467369756 65.1406470381413 64.8620701958867 65.080921814128 65.0821474967373 65.0988245956711 65.1401644327038 64.69463140998 64.3503754837878 64.1190703986929 64.1131281534263 63.7799104544205 63.485983867736 63.2914506899376 63.3834764367048 63.3953497914178 63.4239449741135 63.4145323075237
Euro area EMU Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) SL.TLF.ACTI.1524.MA.ZS 54.6725617111475 53.4471575798448 51.7598764874804 50.3323892936999 49.0384097703773 47.7621490865875 47.2038957159537 47.0936617784432 47.7836556330252 48.222227073895 48.1948272040638 47.5889562559717 47.5416275718402 47.2822091724799 47.1500172753502 47.7702776884855 47.8541522929285 48.0437325658168 48.0729819549708 46.8262780321547 45.5025481414378 44.6440294579671 44.0417156160988 43.3612134121537 42.5840638629086 42.3557651996788 42.2125471483003 42.3535380131158 42.9860004065662 43.0774069421966
Euro area EMU Average working hours of children, study and work, female, ages 7-14 (hours per week) SL.TLF.0714.SW.FE.TM
Euro area EMU Employment in industry, male (% of male employment) (modeled ILO estimate) SL.IND.EMPL.MA.ZS 41.8915044028698 41.5356218935718 40.8998239719441 40.4526482480952 40.3713034614363 39.9341752870294 39.7486284556371 39.9680866749949 39.7564062631981 39.6229060007421 39.4845356711538 39.2534158641376 38.7795989153753 38.6609505287944 38.2619214366764 38.3416447835885 38.3878985065875 38.1006978078063 36.8571259299128 35.9721211322628 35.5397098352553 34.9773606506326 34.2636339220918 34.0433245827005 34.0069285482241 33.7650450327617 33.7426764281423 33.6755724527224 33.5828337450739
Euro area EMU Employment to population ratio, 15+, total (%) (national estimate) SL.EMP.TOTL.SP.NE.ZS 49.3814813519278 49.7283592537664 49.4221674393497 47.8962413199189 48.0379573886993 48.346070874461 48.7731363267208 49.8770134455902 50.2304318160748 49.5436974347259 48.4690315254247 47.9335399534736 47.9308826494931 47.935033790508 47.8693127464265 48.4997420344297 49.2239080716048 49.9032447399712 50.3985139670835 50.6011760614693 50.7801146388701 50.6440243219445 51.1721489458782 51.832402456133 52.5558870940877 52.7684566429662 51.5381432443877 51.1471703964823 51.1364497547208 50.6710627571274 50.2328355298941 50.3164399044336 50.6620754456495 51.3566047772691 51.9809458664158 52.5428524269202 53.0256896605316
Euro area EMU Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) SL.EMP.1524.SP.FE.ZS 37.5202059654636 35.6648324424932 32.9296615557919 31.4602067540679 30.4762872353126 29.4148271168198 29.4204092481056 30.5628946793027 31.5511211532129 32.6513643657905 32.9620491631883 32.7909875323242 32.778273353307 32.2300868112634 32.5324937126527 33.1114006209458 34.2127496513591 34.3902221194598 32.5651629302804 31.3056601936499 30.8836797767111 29.648736929087 29.1261823695546 28.7879798752326 29.293848456773 29.8975163297295 30.8814551754968 31.5509575840658 32.0237550697798
Euro area EMU Poverty headcount ratio at national poverty lines (% of population) SI.POV.NAHC
Euro area EMU Proportion of people living below 50 percent of median income (%) SI.DST.50MD
Euro area EMU Domestic general government health expenditure (% of current health expenditure) SH.XPD.GHED.CH.ZS 74.2793496260381 74.5945230982316 74.5082126593219 74.2259752058283 73.7360283973083 73.8778656807169 73.594132245544 73.4450255840854 73.4947258658805 73.9287224392751 73.846743865348 73.2733032981161 72.9099359431406 73.1215070991282 73.236286081373 73.4603456773781 73.4376597601195 73.6254593145071 73.7252128715273
Euro area EMU Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SH.UHC.NOP2.CG
Euro area EMU Suicide mortality rate (per 100,000 population) SH.STA.SUIC.P5 14.4785006402104 13.4425908632571 13.068937399499 12.9222553334521 12.9531340523849
Euro area EMU Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) SH.STA.ORCF.ZS
Euro area EMU Exclusive breastfeeding (% of children under 6 months) SH.STA.BFED.ZS
Euro area EMU Lifetime risk of maternal death (%) SH.MMR.RISK.ZS 0.0111097119264887 0.0108048704222198 0.0105810873501673 0.0103718746911408 0.00996412746007427 0.00990254818848178 0.00963624378727637 0.00956747837970177 0.00954133482983752 0.00950709001106552 0.00915986365677692 0.00911382632204816 0.00872502491344265 0.00855701202001797 0.00827075847665456 0.00821685054551418 0.00807137243621304 0.00833802309075357
Euro area EMU Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) SH.HIV.INCD.YG.P3
Euro area EMU Demand for family planning satisfied by modern methods (% of married women with demand for family planning) SH.FPL.SATM.ZS
Euro area EMU Number of under-five deaths SH.DTH.MORT 34023 32227 30370 28431 26479 24668 23110 21823 20779 19927 19195 18546 17941 17368 16841 16356 15917 15509 15119 14726 14325 13927 13535 13168 12855 12596 12386 12212 12050 11868
Euro area EMU Women who believe a husband is justified in beating his wife when she refuses sex with him (%) SG.VAW.REFU.ZS
Euro area EMU Government expenditure per student, tertiary (% of GDP per capita) SE.XPD.TERT.PC.ZS 29.873725 27.479025 25.76338 26.2307 25.075 22.704365 22.74967 23.4954 23.86542 24.62767 26.13802 28.906405 29.002135 27.10247 27.750025 29.62048 31.87478 29.2699 27.60007
Euro area EMU Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) SE.TER.CUAT.ST.FE.ZS
Euro area EMU Trained teachers in secondary education (% of total teachers) SE.SEC.TCAQ.ZS
Euro area EMU School enrollment, secondary, male (% gross) SE.SEC.ENRR.MA 79.87842 79.93315 81.03985 82.6207 84.61078 84.34242 85.20573 86.08079 86.3015 86.80912 86.98219 86.369 87.35471 87.53191 88.14739 88.83878 90.65223 91.67471 92.20091 92.88693 93.43503 94.92391 96.98095 100.7702 104.9798 105.4538 105.4327 105.1007 101.9441 101.3965 102.4065 103.5065 104.3496 104.7414 104.0247 105.9652 106.5803 106.2759 106.6984 107.1242 108.4261 109.0172 108.6566 108.9631 108.3333 108.5201 108.4583 108.8434 108.8583 108.8586
Euro area EMU Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) SE.SEC.CUAT.PO.ZS
Euro area EMU Adjusted net enrollment rate, primary, male (% of primary school age children) SE.PRM.TENR.MA 98.15777 98.10126 98.14843 98.01465 98.55292 98.43026 98.37305 98.44321 98.41591 98.34808 97.85207 98.01813 97.91897 97.74997 96.98369
Euro area EMU Persistence to grade 5, female (% of cohort) SE.PRM.PRS5.FE.ZS
Euro area EMU School enrollment, primary (% gross) SE.PRM.ENRR 107.0166 107.0259 106.9135 105.5545 105.8127 105.7075 105.6584 105.2232 105.1194 104.9493 104.8159 104.5781 104.259 103.6085 103.2361 103.5451 103.9666 104.6006 104.7495 104.6342 103.7083 102.9896 101.9551 102.084 102.3724 102.5742 103.2726 103.0587 104.4377 104.0796 104.0562 103.6373 102.9015 102.6419 102.5432 103.5285 103.9453 104.2214 104.152 103.7213 103.3613 103.1682 102.7773 103.12 102.377 102.3951 102.1231 102.6467 102.6105 102.6133
Euro area EMU School enrollment, preprimary, female (% gross) SE.PRE.ENRR.FE 68.1687088012695 68.9359283447266 69.6500396728516 71.0345001220703 73.6395492553711 74.3953323364258 76.1086807250977 76.7202377319336 76.9438781738281 77.1005325317383 77.9776000976563 78.9252395629883 80.0204010009766 81.5682601928711 83.3174133300781 84.5380401611328 85.7215423583984 85.831787109375 85.36181640625 85.0706634521484 86.2174911499023 87.7940673828125 88.3364410400391 89.2524566650391 90.2011032104492 89.0764083862305 90.7678070068359 92.4885406494141 93.0507736206055 93.5164108276367 94.3992767333984 95.2445907592773 96.0218276977539 96.996223449707 97.6429595947266 98.9991073608398 99.08447265625 98.9955291748047 99.1400985717773 99.1474227905273 99.4499816894531 99.7076797485352 99.8997268676758 100.324310302734 99.6858978271484 99.8561325073242 100.13395690918 99.6209030151367 99.8678131103516 99.9807662963867
Euro area EMU Real effective exchange rate index (2010 = 100) PX.REX.REER
Euro area EMU Adequacy of social safety net programs (% of total welfare of beneficiary households) per_sa_allsa.adq_pop_tot
Euro area EMU DEC alternative conversion factor (LCU per US$) PA.NUS.ATLS
Euro area EMU GNI per capita, PPP (current international $) NY.GNP.PCAP.PP.CD 17017.0141979678 17939.9035870975 18510.2262647693 18767.1554027702 19538.5994185049 20419.7176581964 21069.8849031128 21947.1612529485 22943.3220908634 23887.2876090187 25363.8614882202 26460.6779331845 27385.9313720915 27820.3476507799 29039.7666658609 30091.5190646523 32588.6094535737 34364.4304372026 35550.1691931257 34910.4799146075 35913.3828797038 37599.2205053717 38032.1310646275 39253.9606529273 40162.8628766996 41110.0394156386 43703.5903121128 45901.8192641666 49287.8015526236 50952.5409285038
Euro area EMU Gross domestic savings (% of GDP) NY.GDS.TOTL.ZS 27.7379513159747 26.9284797600995 26.797609599508 27.1026491610528 26.4402116108638 23.7688674207014 23.9182021329761 23.6400608768982 24.0127602870927 23.6647156357817 22.556186546946 21.1743830118868 21.1217088237437 21.1765998673801 21.7898644733173 21.7958783563702 22.7344324806682 22.1739562691641 23.1636511924558 23.6204736817386 24.0198469391324 23.7831028333976 23.0565759834241 22.5154710052451 23.0985335518098 23.6517550044003 23.3287383964537 23.9584282925885 24.4519566609482 24.2599953096753 24.3455168861882 24.4384559289503 24.4650128839633 23.9662141545911 24.3511349654826 24.022861177233 24.6578620666257 25.6197574256615 24.7860927521423 22.053994503208 22.4688588897925 23.0352579756996 22.7516082623275 22.8989651954486 23.4923430466481 24.268234082678 24.5404744118494 24.9568743872237 25.1352644713391 25.1988686325266
Euro area EMU GDP growth (annual %) NY.GDP.MKTP.KD.ZG 6.57248513066176 6.41683398426152 6.08192356494617 5.5497035809811 5.02710396054088 5.28990617875674 5.34426588471533 5.63709703965432 7.04173300789073 5.79906219772653 3.79765118063465 4.91664129684155 6.17573454119085 3.21640424642213 -0.751952313750266 5.02862235648669 3.08335660605661 3.13035780340039 3.8445703456488 2.1547212975328 0.514633341602959 0.716717087966387 1.38231378976819 2.36870707247672 2.30998791096337 2.50807464966616 2.54355209934528 4.31347811743876 4.10284599881186 3.58414337901749 2.62385545456718 1.39261053107857 -0.65605289002545 2.45956334682332 2.42914531763316 1.6992956583135 2.71106919541666 3.04380493964371 2.97411433144848 3.86729771848316 2.20624887718672 0.956223709486252 0.703429575681653 2.29980591649885 1.68799336555804 3.2281290338768 2.9961740307542 0.420741417401914 -4.49972947928495 2.13678164950231 1.68655068839863 -0.891027528260906 -0.249525704493848 1.39349504238682 2.04427111866093 1.90358189790818 2.57796570585948 1.88182836102722 1.29039850127211
Euro area EMU Inflation, GDP deflator (annual %) NY.GDP.DEFL.KD.ZG 2.62427431789562 3.93430633253637 4.18886822281014 5.23837536263522 4.13760517022505 4.40492927967264 3.22059675256726 3.5173471976327 4.64178827138729 6.56593112233732 6.20437457520968 6.80497331017685 9.46627675078291 12.8956534527392 13.1200195149182 11.482444371018 8.83602163411583 8.36664030933359 9.30763690711404 12.039752734659 11.662889445927 10.5819878684073 7.50456213762423 6.72340074026098 5.20145899736719 4.45042252584653 2.75366544112045 3.19354699577428 4.77460064370783 3.27384664392885 3.35087387479325 3.72907242539446 4.26523666399135 3.54247357636952 4.20111318922798 2.64101112214834 2.56737468974622 2.56666398298637 1.5361284470883 2.16497967873568 3.47475215297817 3.27434188043023 3.1478079285654 2.67018368106109 2.24031930749804 2.89907321710371 2.5566370154462 2.85807494328294 0.533179397971551 0.673371697578418 1.60717698349345 1.6752701237629 1.28133222727746 0.833592064248663 1.00504348534045 0.861444794357752 1.2995548323383 1.81299673684485 1.78356727173828
Euro area EMU Adjusted savings: natural resources depletion (% of GNI) NY.ADJ.DRES.GN.ZS 0.0604026053156004 0.0620611910388573 0.0521083089008175 0.0630030746923579 0.152485744770157 0.226585581809908 0.246127056922916 0.2125571275509 0.170443799707469 0.223935044191315 0.25572996190408 0.256446122426866 0.196172378695121 0.236472964875295 0.223975309876852 0.223243747785474 0.108939912146345 0.067875268858538 0.0665122170906434 0.0845040767173161 0.0826025640000946 0.0580195305235479 0.043099475919971 0.0443535442172854 0.0337220063281795 0.0322016799245516 0.0404604883436771 0.037937369660988 0.0155280549754139 0.0163350296889924 0.0560891891509349 0.0855091962647468 0.0677656658200953 0.0591350246114689 0.0604925575438675 0.0659886504620607 0.102617092655576 0.096490087041233 0.137028806060425 0.0933388867194354 0.102620815298775 0.133183030911775 0.140695286057579 0.12705184812384 0.0889662834455394 0.0525664202529643 0.0350026852826755 0.0479651587617059 0.0586647573514534
Euro area EMU Services, value added (constant LCU) NV.SRV.TOTL.KN
Euro area EMU Industry (including construction), value added (current LCU) NV.IND.TOTL.CN
Euro area EMU Agriculture, forestry, and fishing, value added (current US$) NV.AGR.TOTL.CD 166156798215.64 171507247502.116 143174519475.809 153868650700.196 175077336900.163 180280868152.476 162057745217.84 160147243275.457 151553518643.93 135069642027.314 137174810281.267 139975876604.01 167237902738.726 189028295166.09 174125149204.792 173096206042.711 203881320485.57 215467005176.648 180386853310.85 193098734373.352 212919252015.149 197608171020.978 211570932036.639 212835228990.686 179807590172.505 178326920994.297 198893894816.654 206584372155.672 199626080753.125
Euro area EMU Gross capital formation (constant 2010 US$) NE.GDI.TOTL.KD 1354712975069.05 1348880783331.69 1408530516537.64 1531687091789.67 1529596330273.61 1346456361022.66 1464947365051.85 1467042822062.34 1474617025765.86 1577364015221.96 1620416779334.81 1465013032586.94 1445977556418.78 1435980357906.11 1475275064009.84 1506909408036.3 1597746415245.14 1665527709870.35 1824986556518.85 1970825297491.54 2085156632350.92 2115537115621.45 2086432985567.99 1919585816461.91 2018861392045.25 2116424238560.33 2105462286694.91 2187978385865.72 2341367324546.39 2471885474350.49 2606726515240.71 2626813889870.65 2573891707419.98 2606074325371.15 2674866799804.97 2726049153829.3 2902512703395.86 3081096948483.66 3029468105302.45 2546319434584.72 2649055735573.81 2742821916734.48 2530892072134.66 2504650035960.39 2589258386342.13 2713385104242.24 2814607688884.85 2956873233212.28 3040124930128.56 3144412574329.35
Euro area EMU Exports of goods and services (annual % growth) NE.EXP.GNFS.KD.ZG 6.64820673385138 9.38068174037592 10.5325231545062 7.14292557515617 -3.84811726269733 10.0068906845514 5.61614296989168 6.04892953738508 7.32565963956529 1.38719078069252 5.62169446554989 0.857396722532116 2.89776580712726 8.40773053512511 4.22755405616395 0.565626412671222 3.38685131555295 6.80162425332323 8.70647104587736 6.86740593712862 5.35567301674379 3.69272089724744 1.08179707412128 9.21306922025124 8.76531401131658 4.94603201010089 11.0151002754045 7.14271254770902 5.69203938582281 13.1158384292188 3.91791481804754 2.14232220395863 1.05337066681412 8.07893624475339 5.22770022975543 8.65150361778866 6.90163099801984 0.863364399971317 -12.3836535591598 11.1134561778999 6.50666904508476 2.28946086890443 1.84974011591142 4.75314608233187 6.65367969787806 2.91169929932622 5.52753090315439 3.52625018817594 2.48603626855032
Euro area EMU Households and NPISHs final consumption expenditure (% of GDP) NE.CON.PRVT.ZS 56.9815498410384 57.0282294813557 56.9192180256277 56.5088304119367 56.6129596075363 58.123068445861 58.0501126729487 58.1262398058107 57.4163945774483 57.6580367040533 58.3618006313077 58.9798151985093 58.9552437678852 58.8217591037732 58.3890209587103 58.2901578775015 57.5403688392603 57.8282424685841 57.1295370432071 57.1092005911347 56.5710248444669 56.5979335544891 56.8749289998077 57.051239155598 56.8033816564906 56.4121405019285 56.6299392016431 56.2436771687871 56.0575266570141 56.2293873846736 56.2802147257042 56.0930531615478 55.6959540414392 55.8996314739944 55.6454796777076 55.8675513486586 55.398132048024 54.7263747779125 55.061685642894 56.1366741498502 55.9665610085242 55.7934162733275 56.059861432568 55.8327878136366 55.3650472858785 54.8568352594677 54.6669602577017 54.4339844765953 54.3188323395218 54.1328958493732
Euro area EMU General government final consumption expenditure (current US$) NE.CON.GOVT.CD 101124503805.089 120650683844.81 147996605164.759 193922916061.233 227334832788.615 281232967547.484 292484370912.882 336722394036.577 419731978740.06 507687316571.264 578826446918.882 520928458620.988 505140730211.218 494654227954.185 469740184024.595 484272884670.87 673214688307.545 842600903003.908 912319688676.577 907228060816.911 1146400084724.91 1199146937425.77 1348258268667.2 1258112509075.07 1311086013698.15 1502345349975.91 1526113712338.43 1377237538564.14 1394005007669.17 1389054128646.52 1255967070680.02 1283133756299.23 1420956160533.04 1778234420614.49 2025713838870.05 2112170339145.8 2224094533356.91 2523071200713.13 2838852916488.07 2809544994819.5 2721506515128.05 2880321222785.53 2675626745667.6 2803683045479.09 2848569231325.7 2425086282354.3 2476946835160.31 2597859529922.24 2796828285855.2 2746620285325.72
Euro area EMU Households and NPISHs final consumption expenditure: linked series (current LCU) NE.CON.PRVT.CN.AD
Euro area EMU Arms imports (SIPRI trend indicator values) MS.MIL.MPRT.KD 3913000000 3678000000 4342000000 6216000000 8469000000 6683000000 4798000000 3362000000 2629000000 3501000000 4406000000 6281000000 5440000000 4662000000 4736000000 5668000000 5090000000 3986000000 4869000000 3864000000 3888000000 3651000000 3949000000 4084000000 3267000000 2492000000 3029000000 2590000000 4533000000 4347000000 3381000000 4082000000 4505000000 3198000000 3888000000 2532000000 2422000000 2707000000 3732000000 2811000000 2198000000 1826000000 1471000000 3613000000 2667000000 1610000000 2749000000 3666000000 2284000000 3157000000 2723000000 1156000000 1224000000 1277000000 943000000 1764000000 1675000000 1324000000 1084000000 1337000000
Euro area EMU Fixed telephone subscriptions IT.MLT.MAIN 13019262 13019262 13019262 13019262 13019262 19354961 19354961 19354961 19354961 19354961 29745752 29745752 29745752 29745752 29745752 46317187 50821011 56070010 61735786 67520366 73306805 78618720 83354892 87847524 92291562 96695795 100722426 104768051 109450645 114953723 122392415 127866399 133300373 137873959 142553017 148407023 152886462 157096102 160699407 163755065 167869312 168881210 169968287 169126779 168606353 168916115 170525169 164982483 161696209 171442220 169932500 166887627 163526100 160106241 157121982 155081031 154908051 153842136 150915329 146196087
Euro area EMU CPIA trade rating (1=low to 6=high) IQ.CPA.TRAD.XQ
Euro area EMU CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) IQ.CPA.ENVR.XQ
Euro area EMU Public private partnerships investment in ICT (current US$) IE.PPN.ICTI.CD
Euro area EMU Start-up procedures to register a business, male (number) IC.REG.PROC.MA 8.4375 8 8 7.52941176470588 7.35294117647059 6.72222222222222 6.55555555555556 6.44444444444444 6.36842105263158 6.42105263157895 6 5.68421052631579 5.52631578947368 5.36842105263158 5.26315789473684 5.31578947368421 5.05263157894737
Euro area EMU Cost to import, documentary compliance (US$) IC.IMP.CSDC.CD 6.57894736842105 6.57894736842105 6.57894736842105 6.57894736842105 6.57894736842105 6.57894736842105
Euro area EMU Bribery incidence (% of firms experiencing at least one bribe payment request) IC.FRM.BRIB.ZS 2.66
Euro area EMU New business density (new registrations per 1,000 people ages 15-64) IC.BUS.NDNS.ZS 2.9266310552296 3.11494627731307 2.86515792751055 2.6097558189371 2.76278912336088 2.84963483777054 2.78034229239457 2.92346836230989 2.96015590866782 3.02756230246314 3.23547495745933 3.34359259577132 3.45753149825795
Euro area EMU Expense (% of GDP) GC.XPN.TOTL.GD.ZS 22.8661352800753 24.4353573554648 25.5453185366202 28.2260205652612 28.2957123260973 28.7823801968316 29.9777038733096 30.541941860227 31.825329757856 31.709590722871 33.1093047981521 33.2458198931934 33.4663084870637 33.7515112592384 35.7005934924143 36.0609157654211 34.7019692767714 34.241569021609 34.463790319784 36.9566301799673 38.2462831659321 39.6251431189837 38.9823511534919 44.0921789117507 41.5869752143809 40.7134373190176 39.2632862894268 38.9687435370109 38.0804415856749 38.0679965449292 38.320783649256 38.675688831872 37.9881925744411 38.0964420717755 37.5459922759148 36.8228013936312 37.6326304310487 40.9441560943421 41.3251751791044 39.7200751643102 40.0887860366357 40.3339385805973 39.8643346412969 39.3231278224169 38.8572019629509 37.7908519125022 37.4467340869741 37.4641669339918
Euro area EMU Other taxes (% of revenue) GC.TAX.OTHR.RV.ZS 1.87466743072326 1.67364016736401 1.70034930379499 1.52668792991431 1.64084546656543 2.06636690795351 1.94323459927973 1.5961830308445 1.38658218102589 1.39819359306028 1.84233166162324 2.12472434483819 2.19423709938453 1.83681412717911 1.7950229029347 1.65716999550647 1.52565666007645 1.66625340937268 1.67626643036479 0.986758772390528 0.735495283906665 0.798808556728945 1.83209529953034 1.95611293175662 1.59084287518367 1.53115215998487 1.63332643627846 1.06791892898272 1.2436455532304 1.40727164513817 1.84460560066461 1.77029122018715 1.69254548593616 1.65904025809937 1.66263937118147 1.70941248258761 1.25779102094558 1.2162740495352 1.36432800387259 1.32065286237632 1.56406430043574 1.45040637444738 1.49740893114246 1.28517189745539 1.07567599550322 0.794060610233284 0.837297811607992
Euro area EMU Grants and other revenue (current LCU) GC.REV.GOTR.CN
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) FX.OWN.TOTL.OL.ZS 93.2508392333984 96.8076248168945 97.8477935791016
Euro area EMU Consumer price index (2010 = 100) FP.CPI.TOTL
Euro area EMU Domestic credit to private sector by banks (% of GDP) FD.AST.PRVT.GD.ZS 88.1570276385692 88.2998400870984 89.2391249385081 90.2087649608827 95.0478228394391 98.7306956402664 101.72164704869 103.605353782259 106.247221137199 103.462362056402 101.598052710652 99.6594781440823 96.6482603451555 92.588041182728 89.8877950971926 88.552664918947 87.1147760777001 85.7024557515174 85.3635063784836
Euro area EMU Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) ER.H2O.FWDM.ZS 3.488
Euro area EMU Population density (people per sq. km of land area) EN.POP.DNST 99.9073805424438 100.83654858416 101.786759358672 102.723040573534 103.651691571857 104.51707027161 105.265884618314 105.972022539359 106.685888859189 107.268340294442 107.85988833356 108.58829421225 109.280288289956 109.905327734518 110.479330546245 110.977607465721 111.423256791609 111.875791971601 112.335964952891 112.823424739264 113.256536059965 113.566838363006 113.797077819039 113.987681230846 114.203706981009 114.488550422051 114.80507043137 115.188919529621 115.68217769733 116.214219788885 116.753935629073 117.296777271994 117.777751683691 118.120822586595 118.425435029843 118.732625250531 119.017695738148 119.270021529048 119.579814367998 119.998517715153 120.484373908564 121.051913804031 121.688554248585 122.376762410962 123.017298888932 123.622432881826 124.26316642765 124.897044622068 125.307388266318 125.538790774159 125.275501446149 125.538460492803 125.900046440515 126.336393317108 126.747686411533 127.100415381191 127.355493998395 127.436798480559
Euro area EMU PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) EN.ATM.PM25.MC.T2.ZS
Euro area EMU HFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.HFCG.KT.CE 82846
Euro area EMU CO2 intensity (kg per kg of oil equivalent energy use) EN.ATM.CO2E.EG.ZS 2.40377400035847 2.37301402687775 2.3407353687722 2.33343621530377 2.2972747026122 2.28039247758581 2.25513540624954 2.25715692934045 2.23412221523078 2.21995921843632 2.21581640866564 2.21393720109081 2.20047862838981 2.18836145907268 2.17119737345379 2.16623233656545 2.16449718000356 2.11826353861313 2.07419320451195 2.04760081399659 2.05267985276672 2.02992903790401 2.01073991348031 1.98279329419595
Euro area EMU Electricity production from natural gas sources (% of total) EG.ELC.NGAS.ZS 2.19426873423238 2.44478622977726 2.53945409149749 2.28416145478852 2.11847236193908 1.93240805886618 2.47448954892208 2.90097248541889 4.01894427462679 5.24453382761014 6.57130042079699 8.06310628714587 9.51267681324289 11.1753519915947 13.0509035076021 13.8820228606816 12.9069168862535 12.1960895185821 11.4230093898398 11.1341768577462 9.4485375420016 8.05292953591758 7.76575179366434 8.06751785188578 8.4437138512285 7.35167109083405 7.36838658836934 7.58483938080359 7.23198499552286 8.0401985738768 8.83933039922032 8.48931177580771 7.97876598415006 8.38666654681675 8.95730535844662 9.35591688328976 10.1623657825758 11.4892780057008 12.2801669476123 13.9568723408249 14.3457420199868 14.9767382843569 15.4028657157187 16.9185169102415 18.2164694361415 20.5138034653069 21.1551924576903 22.3145393819931 23.9386776620953 23.4019575829052 23.1874473156534 22.3828460504807 19.3762419807243 16.6740038663852 14.8040893922793 16.1911744074616
Euro area EMU IMF repurchases and charges (TDS, current US$) DT.TDS.DIMF.CD
Euro area EMU Net official flows from UN agencies, WFP (current US$) DT.NFL.WFPG.CD
Euro area EMU PNG, commercial banks and other creditors (NFL, current US$) DT.NFL.PNGC.CD
Euro area EMU Net official flows from UN agencies, FAO (current US$) DT.NFL.FAOG.CD
Euro area EMU External debt stocks, long-term (DOD, current US$) DT.DOD.DLXF.CD
Euro area EMU Net bilateral aid flows from DAC donors, New Zealand (current US$) DC.DAC.NZLL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Germany (current US$) DC.DAC.DEUL.CD
Euro area EMU Personal remittances, received (current US$) BX.TRF.PWKR.CD.DT 1382002338.37 1823007922.65 2114379734.2 2214559742.3 2019358915.07 6305354987.58 6795426643.1 8967569553.85 11448118016.04 14020031758.26 16332658186.61 14725027099.76 14397031440.24 13125888686.9 12507541584.64 12529510177.71 16460083070.55 19496124027.73 22055085327.87 23194772843.69 27879097754.75 28072249862.42 29691745056.03 28249217232.6734 27368177878.5255 29351384673.8797 29153310430.369 32706617734.6521 33363146313.594 26767076326.0596 25490610617.5797 26242897712.7492 29385214291.3804 36195346986.8451 41150097795.6626 43929842251.1369 48049199256.9804 57849168861.7878 69700256994.0319 68082697436.5652 69326718912.5673 77373815447.4044 75264384430.173 82015311501.7711 84766505996.4962 77830855088.0074 77431597999.8196 80796889163.2857 86530853598.4995 85576117359.163
Euro area EMU ICT service exports (% of service exports, BoP) BX.GSR.CCIS.ZS 0.721600198601425 1.20093737205765 1.58979929720891 1.4446785761166 1.77589556133139 2.52316920295835 2.71988681061231 3.12875346488523 3.49916929161272 6.11927977288965 5.68399286626501 6.57847226767658 6.71654620768663 7.44073159115493 7.33752201467361 9.52973310231512 9.68712209193259 9.73937666023745 10.1272395311235 10.8112410849824 10.87825898886 10.9882120532409 11.4253686442796 11.3875013735809 11.9093740846303 8.6379577650047 9.10478528551848 12.7580810177793
Euro area EMU Personal remittances, paid (current US$) BM.TRF.PWKR.CD.DT 311507774.42 2638756274.138 3261377172.776 4454100965.339 4957720335.137 8187690908.051 8399126667.082 8865042706.912 11098252463.579 12684123391.205 14035462238.128 12383182240.115 11589930592.046 10879475699.835 10211687765.825 10278883992.359 13008260774.433 15777664392.529 17446838375.585 17315566719.868 21109710234.961 20535366266.8565 23970648775.5719 23703531614.3328 21612544676.7795 26484737517.7061 26076196340.2585 24389798266.4826 25431750505.9836 27816201242.0188 26694893740.2868 28496047555.3997 29297031139.4883 35767846455.3792 43008476918.8272 45271054983.0513 49724870579.9926 61507295370.979 84443999697.6623 81581242185.573 76508849668.1001 83187687098.4221 76512996167.198 82808742532.088 83963068265.7192 77336867816.9809 79496683615.6578 86433845061.5374 95744008528.3195 96388234675.8605
Euro area EMU Surface area (sq. km) AG.SRF.TOTL.K2 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01953125 2725264.01855469 2725284.01855469 2725294.01855469 2725314.01855469 2725324.01855469 2725324.01855469 2725324.01855469 2725324.01855469 2757454.99511719 2757474.99511719 2757784.99511719 2758134.99511719 2757844.99511719 2757864.99511719 2758164.99511719 2758144.99511719 2758159.99511719 2758295.99609375 2758479.99023438 2758461.99707031 2758831.99707031 2759542.19238281 2759562.59277344 2759601.57714844 2759787.59277344 2759787.59277344 2759787.59277344
Euro area EMU Rural land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.RU.ZS 1.88417500871632 1.893067186788 1.89223677845971
Euro area EMU Railways, goods transported (million ton-km) IS.RRS.GOOD.MT.K6 8290 8454.5 9239 9075 8801 9512.5 9207 9732 10080 10296.5 10172.5 10739 10040.5 9980.5 7339 8341 8677.5 9275 9366 9596 8468 9455 10362 10792 9375
Euro area EMU CPIA equity of public resource use rating (1=low to 6=high) IQ.CPA.PRES.XQ
Euro area EMU Trademark applications, direct nonresident IP.TMK.NRES 33554 31112 32227 32152 34273 70754 72782 85672 105206 113454 144036 154846 120739 118897 127394 124137 141612 124957 110396 106619 102457 91870 80618 78334 73285 56377 58090 54864 48073 45712 46095 38188 44743 46623 49460 46543
Euro area EMU Time required to build a warehouse (days) IC.WRH.DURS 203.78125 198.911764705882 198.911764705882 225.194444444444 222.361111111111 216.944444444444 211.631578947368 204.894736842105 198.473684210526 198.921052631579 196.552631578947 190.763157894737 187.684210526316 189.315789473684 189.315789473684
Euro area EMU Cost of business start-up procedures, male (% of GNI per capita) IC.REG.COST.PC.MA.ZS 11.2 10.81875 9.09375 7.61764705882353 6.95294117647059 6.52777777777778 5.8 5.97222222222222 5.50526315789474 5.23684210526316 4.84210526315789 4.6 4.25263157894737 4.05263157894737 3.76842105263158 3.64210526315789 3.21052631578947
Euro area EMU Firms visited or required meetings with tax officials (% of firms) IC.FRM.METG.ZS 19.23
Euro area EMU Time required to get electricity (days) IC.ELC.TIME 108.777777777778 108.777777777778 107.368421052632 107.315789473684 105.842105263158 92.9473684210526 85.4210526315789 83.9473684210526 81.3684210526316 78.8421052631579 78.6842105263158
Euro area EMU Human capital index (HCI), male (scale 0-1) HD.HCI.OVRL.MA
Euro area EMU Goods and services expense (% of expense) GC.XPN.GSRV.ZS 14.0678838987203 10.9375 10.7577454273983 10.1056338028169 9.92558639617464 8.96296296296295 9.43971893491125 10.2791230504497 10.4195182042157 10.3068603817838 10.1993776650916 10.1346785656034 10.1357598170405 9.49109400587509 9.87046724860441 10.0024325566207 9.80842076451398 10.0039325191463 7.54751240769883 7.41464750203651 9.12918777079392 9.37019551014625 6.58175106042401 6.91927585622623 7.00774174006951 6.59955920490966 6.64960872430346 6.89113923869143 7.32655285716516 7.99264158294815 7.98524324221192 8.59658941106912 8.92775340913851 10.3062206094779 10.1393913756665 9.45997392621322 8.77451921283866 8.38234982930645 7.89061482587211 8.03728956939666 7.86447800309738 7.61209986848892 7.88896085979852 8.2205941738467 8.075022818321 7.49175376778338 7.28631755716718
Euro area EMU Taxes on goods and services (% of revenue) GC.TAX.GSRV.RV.ZS 33.7292161520191 31.694560669456 29.1379375791802 29.6446789019124 29.5984033887259 28.2738370821016 28.2058352432545 28.2057459085506 27.494319548583 27.7874771060481 28.1614030051484 28.2635325636004 28.3507180796617 29.0639087227224 28.2698821585244 29.9034892338308 29.5940290399747 28.3999177047094 26.9451719365485 26.7915788018114 27.5616811955857 32.1283509341998 30.4491252933994 30.8805295478756 30.1076399084566 29.4932415768046 29.9463653494481 29.7660672402066 30.5571172628279 32.2112237027018 32.3482769402387 32.340331063657 32.6640479898092 32.1688982177431 32.6840811746048 31.3666996429467 29.9719390376152 31.4902449744509 30.9634534313727 30.3031268329261 29.623048963918 30.9982635589238 31.2575176453475 31.8411885569923 31.504388522681 30.2483536328246 30.3429349442992
Euro area EMU Central government debt, total (% of GDP) GC.DOD.TOTL.GD.ZS
Euro area EMU Claims on other sectors of the domestic economy (% of GDP) FS.AST.DOMO.GD.ZS
Euro area EMU Net foreign assets (current LCU) FM.AST.NFRG.CN
Euro area EMU Terrestrial and marine protected areas (% of total territorial area) ER.PTD.TOTL.ZS 20.6659836631448 22.4989440658977 22.4989440658977
Euro area EMU Pump price for diesel fuel (US$ per liter) EP.PMP.DESL.CD 0.735 0.69 0.68 0.71 1.11 1.26 1.41 1.6 1.81 1.63 1.21
Euro area EMU CO2 emissions from electricity and heat production, total (% of total fuel combustion) EN.CO2.ETOT.ZS 28.4924756958317 29.0126043647851 28.6946383462131 27.2939617905453 29.3373040415177 28.3058286979675 28.1973810116793 28.6223489574051 28.8246724604509 28.9344226049658 30.9529821726175 32.0588014302573 32.1603418093345 32.4970207610112 33.9291008256273 33.6050802002016 35.535472281505 34.8147757769364 34.820072941287 35.2876147789401 37.1700777921837 37.4717559715946 38.0682840301049 37.5273004317278 36.5897323830016 35.600568555843 35.7193105142006 35.731408931305 35.9459760489417 37.5673411235191 38.1285283306068 38.0203079295961 38.0264499706914 37.2737433827232 37.8838218525172 38.12363203296 37.2171781262155 37.4021492380661 37.6319797053677 37.448881001676 38.0824814945365 37.7196928625533 38.9633711159032 38.9294339920295 39.3356401384083 39.6367665840283 39.8303482286025 41.4462270668611 39.8879961232433 39.282791207864 39.2684457239877 40.1047739899856 40.5245332175423 39.0793984590373 38.8439025302489
Euro area EMU Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.EG.KT.CE 0 14797.7772673775 14738.8864263151 15276.6717287335 15831.5588412994 15386.6459083123 15221.9773200631 15815.5641489222 16067.8024566558 17095.9212462009 17550.9613746888 18021.2749472109 17632.9330808855 17964.3131385456 18103.2116344489 18328.5749844526 18523.6831560046 18651.6064550059 18822.1577911894 19427.8227530448 20421.3589787169 20441.5920756354 21070.3496019427 20267.5309910477 20240.4449622637 20404.5351907228 21160.1225857698 21301.7071631375 21231.6502725801 21420.4559230976 21208.2985193302 21529.9429697355 21748.875049593 21743.3262592121 22502.152735328 22804.503296352 22047.889785433 22295.633276832 22374.977772492 21934.903260833
Euro area EMU CO2 emissions (kg per 2017 PPP $ of GDP) EN.ATM.CO2E.PP.GD.KD 0.253156785793982 0.243375282461297 0.24013247074919 0.233236526954168 0.231919910087566 0.233814765684934 0.224774523155017 0.22210880458183 0.213417893789719 0.206857556745841 0.207333870228311 0.205225994713307 0.206702921694081 0.203842348448357 0.199309469735374 0.193061867130428 0.184153736439363 0.179085164403528 0.173533542289195 0.173715134739279 0.164364365719837 0.162546921322021 0.160109683405841 0.149876167611448 0.14989482497773 0.146489440545947
Euro area EMU Energy imports, net (% of energy use) EG.IMP.CONS.ZS 33.9849518659902 36.8342668015719 41.8674689147751 45.8808788637202 47.4024645476108 50.4242493272499 53.2915758463247 57.5108706092594 60.1408947183007 61.9432675308087 58.9951540269418 59.3648581123079 60.6117527912077 62.4886532378619 60.7789893410231 58.3900903879449 60.8406134316231 59.9189861436963 61.9441883960048 61.9930318298236 60.6984858302842 57.4726794022378 56.2020037978484 55.0506113059349 53.5957328456832 52.2513365958085 52.8684844841229 53.6716246301108 54.0390095855171 53.8483684841571 55.3785263186539 56.6764384747668 56.1627728075803 56.3035002212031 57.2005717268409 58.1386881851114 58.2979632220943 59.1010695240655 61.0354095634743 61.1814150444222 61.6584823343514 62.1250154327323 61.932199558869 62.3660825317109 62.025023095246 62.6982603280461 62.6109389308771 62.3336822841439 61.7639921493861 60.9492822793691 60.4708320167267 60.0569711605027 59.4796331733871 58.2480086704676 57.7216701111546 59.8388238437354
Euro area EMU 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
Euro area EMU Net official development assistance received (constant 2018 US$) DT.ODA.ODAT.KD
Euro area EMU Net official flows from UN agencies, UNECE (current US$) DT.NFL.UNEC.CD
Euro area EMU Net financial flows, others (NFL, current US$) DT.NFL.MOTH.CD
Euro area EMU IBRD loans and IDA credits (DOD, current US$) DT.DOD.MWBG.CD
Euro area EMU Net ODA provided to the least developed countries (% of GNI) DC.ODA.TLDC.GN.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Iceland (current US$) DC.DAC.ISLL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Australia (current US$) DC.DAC.AUSL.CD
Euro area EMU Transport services (% of service exports, BoP) BX.GSR.TRAN.ZS 27.5460063424729 30.793839238114 30.0755458993871 27.9582943339765 29.0057496729129 29.5283628478016 29.4267868921382 28.7707287353935 27.4049998143726 27.3869784906045 26.5882520464076 25.3442895647005 24.8445754696243 26.1480994533912 25.9927113154677 24.3101282811477 23.3476948151841 22.2944803354953 22.7882398551001 23.1313449320947 23.2500166346867 23.2250250711824 23.2940493548385 23.2634359870819 22.1637332522868 22.1674978833365 22.1153666539947 21.5397061435231 20.6631436478695 21.5537061399047 20.3930895707893 20.7477339847758 21.4383285738725 22.1872925044939 19.8134174283392 21.0300263225808 20.3212547371437 19.6111421399109 18.0098610950541 17.2188269513767 16.8094401199901 16.0805421166507 16.4414098312107 16.4740551578382 16.1638707865805
Euro area EMU Portfolio investment, net (BoP, current US$) BN.KLT.PTXL.CD 36587305839.5217 117247610652.417 -63290397264.7408 -135269947957.35 -63433063539.8804 -57280414929.0427 -145998807559.446 -239042768227.017 -167304092481.794 -311263035241.271 -392305551136.605 -100970954451.515 -405263339907.588 -202586582684.947 -184957946340.734 25067483349.2245 138357594239.653 609573538049.654 421100151797.199 261748582796.713 -70241481458.5231
Euro area EMU Charges for the use of intellectual property, payments (BoP, current US$) BM.GSR.ROYL.CD 65193370.1185617 73480662.9302433 101933701.583683 124793370.072774 550996115.716453 660245054.43003 835303161.839281 928112997.454369 1870636579.36913 2005962869.30292 2164800870.95805 2572742777.19595 3410567582.83143 3879201514.66084 3420167263.13501 3304185808.41114 3366808553.20475 3290016348.57182 3649408493.07965 4953265389.52919 6367165502.26283 7642452086.67793 7939142983.39987 10616384215.9235 10945348982.1547 11428030679.3101 11257353288.1726 11669051703.8417 13796195699.1649 13701869367.324 13747703376.0963 14571900422.794 16192688234.2061 15280876060.7513 15026665229.388 16117711782.6116 19481104129.927 42496903179.2845 68104548878.9778 73694918593.5303 84858498012.8702 107601509454.402 99842301926.7593 102622213933.909 111129769719.776 104634890150.846 120023662886.533 151785475099.528 189484697309.848 161503731206.095 171707189969.833 187844682247.541 194599807248.374
Euro area EMU Rural land area (sq. km) AG.LND.TOTL.RU.K2 2175027.39413571 2175027.39413571 2175027.39413571
Euro area EMU Agricultural land (% of land area) AG.LND.AGRI.ZS 56.1363290788144 56.0848847110065 56.0032373397972 55.7260180515893 55.5453815243309 55.3826261393457 55.3364505593273 55.0100687144409 55.0450011481983 54.4452581679682 53.6153426557526 53.4216792031228 53.1883951358285 53.0360493816977 52.8809862790781 52.5593775153973 52.5015287089055 52.5120779784188 52.3627806530344 52.2014837764566 52.155435635869 52.0809142599683 51.6599470698538 51.5471198638189 51.4586560897492 51.3427652423208 51.2705668705623 50.9533503778592 50.969450011995 50.7742654628412 49.4587193523857 48.6963277494535 48.623560840599 48.4614318816116 47.8481583185934 47.9116172082995 47.68689770682 47.6837340536472 47.6085868390508 47.3957986334111 46.8183291787551 46.5114935975107 46.1039164938017 45.890117524779 45.97976958755 45.451541761738 45.0451914521283 45.1460622744885 44.8199534206029 44.7627571202451 44.3251616289766 44.1757520989565 43.9736467716232 43.4080705159602 43.3512493238983 43.0360947702086
Euro area EMU Computer, communications and other services (% of commercial service exports) TX.VAL.OTHR.ZS.WT 36.5120919136551 33.3336778146701 32.885488618696 34.2841779306275 33.1578521577241 34.6376142400227 35.8118694136751 36.8664106039056 36.4832621094137 35.071700142136 35.0253581429677 34.6695536970033 34.6221471128956 32.2177021776793 33.4687668627471 35.1226094525489 32.6948972440024 32.0645127730306 33.3014224814973 35.2315908421068 35.6703223425708 35.4443703338784 36.3036191956926 37.6182593523237 39.1552153138403 40.6118958187729 42.5832520316163 43.6289455509915 46.189878435682 45.5940122705843 47.0245993638384 46.1252013904015 46.1978627505028 46.6905689883436 47.9582356502932 48.1796908500876 48.764949019258 49.8002539119678 49.5988392500645 51.5580953056204 52.8415149311411 53.6198283209313 53.6991837311732 53.7362054450428 54.0133485893798
Euro area EMU Manufactures exports (% of merchandise exports) TX.VAL.MANF.ZS.UN 77.4926461649301 69.2952651788013 70.3815108875057 70.5058017021838 71.7078972944877 72.0374344990282 72.4629540224865 73.5510174897084 73.6126145234046 77.6352398271517 75.6877850486442 74.8431853222967 74.3003965265291 75.3113129900564 75.4043461920152 75.1786986174869 75.9548429031727 74.9003977911622 73.6063100760751 72.9420875257867 73.7922264178696 73.8379388763977 74.0467719318108 75.1461286204299 77.6057034732894 78.5317756331102 79.2642800847129 79.0963423106788 79.8071005017647 79.6319695914828 79.9027764011235 78.1586011131735 79.0312681642439 79.4258357496724 79.9049128136312 81.4983822607193 82.5964745418549 82.4015278251323 78.8191110337717 79.4537462572851 79.8278776755065 79.3483733255922 79.1068792804725 79.3492945094399 78.2826845247706 77.8070809939672 76.4236105998438 76.8921297344636 76.361593160268 75.8657969743193 75.2575955801764 75.3308070500682 76.1549028013448 77.5899556497984 78.4217369587687 78.2845687991122 78.1177142490047 78.2952443446849
Euro area EMU Merchandise imports by the reporting economy (current US$) TM.VAL.MRCH.WL.CD 30432140000 33557300000 37442830000 42175170000 47136740000 52504490000 57633430000 58872430000 65189190000 79610937000 93701963000 104930231000 126330489000 175976366000 241969433000 249453325000 287919994000 324311043000 377621930000 497461678000 607402148000 541445507000 516367943000 490844862000 493683164000 516601499000 607531985000 748334006000 835120399364 909957469240 1119760102305 1172836803502 1220259844336.8 1028698694768.5 1173613134732 1420032046003 1442460050637 1602904336148 1684910040436 1769860545049 1905541109758 1880052727614 1952626259964 2382420622947 2854604709552 3131993783650 3559370591092 4179726004261 4713322647486 3566698856761 3999974276302 4694834066809 4362083295433 4421326451936 4469109503403 3835840117079 3833513743633 4264774620831 4740244803385 4555722901861
Euro area EMU Fuel imports (% of merchandise imports) TM.VAL.FUEL.ZS.UN 14.9649993583608 12.897458661601 13.0051766041393 12.228187374259 11.1822920015934 12.7222055892288 11.5142902555037 10.1741924081638 11.6776673374814 14.1019345401435 13.0285888883649 13.4449384956888 22.6267909254687 22.0537226917644 22.385318610695 19.6167975070136 18.0731487582456 20.531038348492 24.4769805723431 27.321187418617 26.2290901662613 24.5278334690814 23.62448567778 22.3814105013232 13.0053867194542 11.0317929738327 8.34773765676102 8.88623602581925 9.47744012196524 9.13523378501807 8.50266087357234 8.82334712421679 8.122558056639 7.11203160018073 8.31648865240367 8.06493197431573 5.94335250544477 6.44394728916508 9.65773266564655 9.38664934700297 9.06102396923638 9.36007210315052 10.0553928853062 12.760390889044 13.8069130511494 12.2012322842288 15.4152713674497 13.4614380481764 14.7093913933219 17.1112705631589 18.7982063461282 18.0896001570083 15.6890985377122 11.6932133692444 9.50517340764915 10.7827143564546 12.1321633318348 11.232928824632
Euro area EMU Tariff rate, applied, simple mean, all products (%) TM.TAX.MRCH.SM.AR.ZS
Euro area EMU International tourism, expenditures for travel items (current US$) ST.INT.TVLX.CD 137231734649.658 141153293487.549 132722000000 138911000000 146978000000 139469000000 138691000000 145951000000 176938000000 193614000000 203974000000 211428000000 244099000000 270823000000 242901000000 236569000000 259619000000 242087000000 259296000000 275425000000 225997000000 236001000000 262806000000 288418000000 291195633495.913
Euro area EMU Completeness of birth registration (%) SP.REG.BRTH.ZS 100 100
Euro area EMU Sex ratio at birth (male births per female births) SP.POP.BRTH.MF 1.05844269634616 1.05817214536362 1.05918337187707 1.05927246690692 1.05847581460112 1.05750837339199 1.05742059886981 1.05726244346635 1.05746506387955 1.05669184577427 1.05583492736654 1.05585964104235 1.05576407406528 1.05542317723312 1.05534682962398 1.05521308935467 1.05514619262458 1.05533033309635 1.0551503695983 1.055284706732 1.05530824015082 1.05534476973317
Euro area EMU Population ages 60-64, female (% of female population) SP.POP.6064.FE.5Y 5.19621144141929 5.24996048331085 5.30751706988132 5.36871519129357 5.43230823600939 5.49713693512023 5.53376341976353 5.56734590271746 5.59919014496578 5.63406573379834 5.66851641915442 5.68195724648587 5.7193731534677 5.73836451081351 5.6769646341654 5.50542333296692 5.22222330259614 4.82543170736536 4.41383790874948 4.13791431667406 4.08186386285546 4.20826847952472 4.54435372449948 4.98758304272789 5.38032828395573 5.62944585014644 5.74193554528365 5.73530700158543 5.65113466452572 5.55900977169772 5.50000482801797 5.44457366236628 5.40676202797958 5.38793391545194 5.38844251729813 5.40730827082955 5.44373366124087 5.51049670066309 5.58464516919691 5.63148810104081 5.63143106840014 5.56883372299088 5.46093499183636 5.34202241678764 5.26569308438538 5.2626273379924 5.31589795745428 5.4406441443172 5.60473710658713 5.75704115182847 5.86599640514559 5.93729233636978 5.97292906708949 5.99203430398085 6.02063930488902 6.07432330314052 6.14367246176672 6.22800093976534 6.32572355022318 6.43555312505696
Euro area EMU Population ages 20-24, female (% of female population) SP.POP.2024.FE.5Y 7.25057138232553 7.1143409282485 6.92169106855237 6.71719731578371 6.56788850267748 6.5118204046408 6.53573782560004 6.64784899717339 6.80555664198867 6.94190297890832 7.02200786051748 7.07888387846846 7.08279383646427 7.05715909808972 7.03941073317618 7.05214498723486 7.08330911505078 7.1348403636259 7.20611368697971 7.29172565723192 7.38625148162252 7.48733627325701 7.59474262321056 7.69557286986058 7.77179712321371 7.81223614593291 7.82238306583856 7.80169491366179 7.75164595870222 7.6755547027286 7.57552716067798 7.4552979176905 7.30879705568956 7.14453923976961 6.97648677165098 6.8143498493333 6.66329890711636 6.52214483203288 6.39345574347408 6.27896921609916 6.17958071659252 6.12733758695713 6.08887867930273 6.0541086193657 6.01215670133799 5.95812562194688 5.92036164005697 5.8734722727342 5.8138480408974 5.74309093191335 5.66363984019959 5.57608540538347 5.48970029692609 5.4044768164221 5.32485248580905 5.25413628150942 5.20444074681915 5.16196911808168 5.1247329031154 5.09002955499354
Euro area EMU Population ages 0-14, male SP.POP.0014.MA.IN 34096450 34527520 34886169 35194068 35488603 35787019 36134816 36400100 36613462 36788063 36877715 36872607 36870924 36801873 36637051 36375752 36018052 35577557 35075143 34526910 33958489 33409674 32821649 32221962 31639216 31098387 30661937 30246815 29871734 29553052 29276941 29060436 28871374 28687824 28478061 28252775 27997492 27747366 27493841 27260477 27062021 26895372 26762298 26658232 26580381 26517016 26538860 26587206 26633769 26629687 26584152 26538187 26538116 26531824 26521303 26511035 26493274 26478926 26474930 26456049
Euro area EMU Mortality rate, infant, male (per 1,000 live births) SP.DYN.IMRT.MA.IN 8.87838365062738 8.48553864094479 8.04539813048233 7.57500172535973 7.12051510211046 6.66434186325768 6.25794845829012 5.956905381393 5.67441924376648 5.45575805180336 5.23169550617111 5.03166343330781 4.87582283899904 4.69400641766034 4.5124022579269 4.37408499008784 4.23236113180836 4.10919449225273 4.00776857665547 3.89857214453675 3.79700364639656 3.73871246814525 3.68105934498084 3.58960546554283 3.5488701609015 3.52309455552213 3.47834411483514 3.44142661239606 3.45037826542326 3.42746289271096
Euro area EMU International migrant stock, total SM.POP.TOTL 6146651 7391692 8519702 9537875 10545351 11358050 20064759 22768012 26129209 33016886 39519428 40935248
Euro area EMU Unemployment with intermediate education (% of total labor force with intermediate education) SL.UEM.INTM.ZS 12.5632944633256 11.6069523392308 10.5225002470208 9.31110182250076 9.32171851744271 9.51428793753891 9.69299871408442 9.14752284178189 8.32781996933602 7.37563338780909 7.55207853991603 10.792937129245 12.0450844508116 13.1724888164657 15.4744459624205 16.5534886921715 15.6630399703398 14.3023889626114 13.0997931618649 11.7906609280636 10.8351859279703 10.0548458537659
Euro area EMU Labor force, female (% of total labor force) SL.TLF.TOTL.FE.ZS 39.9080841677437 40.5190296505054 40.7611252855856 40.9277203371557 41.2838554959306 41.5720492964796 41.7961573620038 41.9856154245832 42.1783719746042 42.5261757355489 42.7314451311413 42.8239462656571 43.1273808791936 43.461374671132 43.6858331896416 43.8706762517686 44.1546116310427 44.3703963406832 44.6086781167354 44.9227923810863 45.1392930289505 45.3629642268386 45.5798232960989 45.7722773744448 45.8851454626205 45.9365794675805 46.0467353015125 46.0750509371193 46.0758468085283 46.157550736154
Euro area EMU Labor force with basic education, male (% of male working-age population with basic education) SL.TLF.BASC.MA.ZS 63.4184417327123 61.4391395515404 60.2149546171728 58.7074603924252 57.7361694614341 57.2397344226392 53.8465394876176 56.692087501453 56.1208161454424 52.5615473419418 52.2897520083479 52.3182760297571 51.715917281787 51.6475100641439 51.8075265272848 51.4951245318984 51.4648240253291 50.8126058175497 50.1359173906446 51.1965196907609 50.806981193171 50.0635659581284 48.2459502490884 47.6673690724091 47.5280822068614 47.5542351918083 47.371166189079 47.1862038269967
Euro area EMU Average working hours of children, working only, ages 7-14 (hours per week) SL.TLF.0714.WK.TM
Euro area EMU Child employment in services (% of economically active children ages 7-14) SL.SRV.0714.ZS
Euro area EMU Children in employment, unpaid family workers (% of children in employment, ages 7-14) SL.FAM.0714.ZS
Euro area EMU Self-employed, total (% of total employment) (modeled ILO estimate) SL.EMP.SELF.ZS 18.2175042393718 18.3237259348997 18.2910838361029 18.4576835132298 18.2890552129237 18.1584381555004 18.0754986643416 17.7887725937142 17.4034369133095 16.9422244886821 16.8627872613633 16.6740176604061 16.7553326314875 16.8273079925719 16.6919469269333 16.5983947802817 16.3485255654417 16.0047831561685 15.981377883187 16.0330871351514 15.8894711112734 15.8694793360038 15.8126696605444 15.7144085031431 15.5074315162891 15.2782835692213 14.9437829855282 14.6995539146364 14.6213148033844
Euro area EMU Child employment in agriculture, male (% of male economically active children ages 7-14) SL.AGR.0714.MA.ZS
Euro area EMU Multidimensional poverty index, children (population ages 0-17) (scale 0-1) SI.POV.MDIM.17.XQ
Euro area EMU Domestic private health expenditure per capita, PPP (current international $) SH.XPD.PVTD.PP.CD 562.384631160135 588.979936633978 629.506434217615 660.840922041207 703.074143142604 732.203821323412 797.993879200298 839.778871910148 896.033043739678 925.77942139798 951.410201870267 1005.14958007859 1038.05732249293 1070.19241116106 1093.65855735071 1110.51536035885 1163.74084836908 1214.91279450668 1244.76440557569
Euro area EMU Current health expenditure (% of GDP) SH.XPD.CHEX.GD.ZS 8.63826507455655 8.74009923954631 8.96029585233238 9.17174166743258 9.19721131826274 9.29498537287439 9.28740426074926 9.18953118068977 9.48895439430698 10.250882096928 10.2107428388894 10.0905967978597 10.1760577380366 10.2348583984552 10.2659974850312 10.2121516564345 10.1954450129627 10.1582858840224 10.13578919089
Euro area EMU Tuberculosis case detection rate (%, all forms) SH.TBS.DTEC.ZS
Euro area EMU People using safely managed sanitation services (% of population) SH.STA.SMSS.ZS 89.7456867240816 89.8131306783003 89.8917188331489 89.9529945727067 90.1875749792769 90.4418999581166 91.6630201433511 91.8758539896366 92.0934217731661 92.3114477550003 92.5313224123975 92.7373688171198 92.9677272275522 93.2111718745935 93.4994977651002 93.765866023584 93.8909697904343 93.938731817394
Euro area EMU Prevalence of underweight, weight for age (% of children under 5) SH.STA.MALN.ZS
Euro area EMU Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) SH.STA.AIRP.P5 14.2547234186144
Euro area EMU Specialist surgical workforce (per 100,000 population) SH.MED.SAOP.P5 95.7790841267675
Euro area EMU Antiretroviral therapy coverage (% of people living with HIV) SH.HIV.ARTC.ZS
Euro area EMU Mortality rate, under-5, female (per 1,000 live births) SH.DYN.MORT.FE 8.41466126204085 8.05451865307819 7.6936031550292 7.31877608413529 6.86776713649957 6.50424648522864 6.15177462965307 5.86071024922008 5.58521416319396 5.36607116776647 5.19349555039898 5.01919510526602 4.86320918852306 4.66805584509128 4.50831869355146 4.31574324794664 4.19755187765442 4.07738660144609 3.96595396289301 3.85568027319905 3.77811549394617 3.71953533298299 3.66364582478618 3.56959696894373 3.53134998167253 3.4802194611385 3.47711601094028 3.40893296989329 3.41447033410826 3.3888701405576
Euro area EMU Number of deaths ages 10-14 years SH.DTH.1014 4356 4216 4083 3952 3811 3660 3499 3335 3176 3045 2893 2756 2624 2494 2368 2253 2147 2055 1973 1901 1831 1766 1709 1654 1610 1570 1544 1537 1514 1492
Euro area EMU Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of women age 15-49) SG.VAW.1549.ZS
Euro area EMU Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) SE.XPD.CTER.ZS 88.4379348754883 89.394287109375 84.8499145507813 88.0405960083008 89.315673828125 92.6911163330078 91.1053543090821 89.3557662963867 89.2692489624023 91.0653228759766 90.4202690124511 91.2050476074218 89.7267990112305 90.2607650756836 89.0223388671875 90.9681930541992 91.303337097168 90.0383529663086 92.6039581298828 92.5234527587891
Euro area EMU Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) SE.TER.CUAT.DO.FE.ZS
Euro area EMU Trained teachers in lower secondary education, male (% of male teachers) SE.SEC.TCAQ.LO.MA.ZS
Euro area EMU Pupil-teacher ratio, secondary SE.SEC.ENRL.TC.ZS 14.79804 14.81115 14.69181 15.21397 15.01289 14.77264 14.52998 14.34878 14.33293 14.15808 14.00067 13.86248 13.73277 13.63993 13.52485 13.36573 13.38032 13.24881 13.053 12.91182 12.55881 12.33109 12.24719 12.22488 12.36015 12.70879 12.68141 12.62999 12.40811 12.30762 11.96365 11.77876 11.72299 11.73991 11.62293 11.5366 11.60191 11.38974 11.38713 11.40097 11.42377 11.46512 11.55823 11.75595 11.74737 11.73668 11.42687 11.42341 11.42415
Euro area EMU Lower secondary completion rate, total (% of relevant age group) SE.SEC.CMPT.LO.ZS 71.0638885498047 71.7543182373047 72.4270629882813 73.2658081054688 73.7112426757813 75.6430587768555 75.9064712524414 76.1590728759766 75.4355010986328 74.4659576416016 74.7593688964844 75.3118896484375 76.4248962402344 77.6589736938477 78.9424285888672 81.2619094848633 82.4795074462891 83.5636291503906 84.6590576171875 85.9577484130859 86.6819686889648 85.4755630493164 85.860710144043 86.5944519042969 86.5300216674805 86.2389297485352 86.0710830688477 86.2721786499023 86.460807800293 87.2621994018555 87.2243881225586 87.5050964355469 88.211067199707 90.5668869018555 90.3173980712891 89.6511917114258 89.2394409179688 89.415657043457 90.439811706543 90.96875 90.9191207885742 91.2952728271484 91.0847015380859 91.4486389160156 92.2751083374023 92.5972366333008 92.6566009521484
Euro area EMU Trained teachers in primary education, male (% of male teachers) SE.PRM.TCAQ.MA.ZS
Euro area EMU Net intake rate in grade 1, male (% of official school-age population) SE.PRM.NINT.MA.ZS
Euro area EMU Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) SE.PRM.CUAT.MA.ZS
Euro area EMU School enrollment, primary and secondary (gross), gender parity index (GPI) SE.ENR.PRSC.FM.ZS 0.96928 0.96951 0.97161 0.98166 0.97085 0.98222 0.99103 0.9864 0.99061 0.99025 0.99616 1.00561 0.99899 1.00588 1.00458 1.00496 1.007 1.00764 1.00435 1.00478 1.0053 1.00679 1.00817 1.00767 1.00048 0.99909 1.00097 0.99918 0.99773 0.99891 0.99797 0.99972 0.99703 0.99767 0.99894 0.99794 0.99638 0.99763 0.99738 0.99339 0.99253 0.99166 0.99172 0.99528 0.99592 0.99582 0.99678 0.99303 0.995 0.996
Euro area EMU Coverage of social insurance programs (% of population) per_si_allsi.cov_pop_tot
Euro area EMU Coverage of unemployment benefits and ALMP (% of population) per_lm_alllm.cov_pop_tot
Euro area EMU Taxes less subsidies on products (current LCU) NY.TAX.NIND.CN
Euro area EMU GNI, PPP (constant 2017 international $) NY.GNP.MKTP.PP.KD 10270378788374.5 10527423167384.9 10664554234100.4 10602479556480.5 10812712103712.7 11093346128237.8 11300500346188.5 11604647461023.5 11925228035039.8 12299831417296.4 12768119278384.6 13012874805442.3 13092121469484.7 13188627040307.3 13550186763967.9 13789362629270.5 14280843805618.7 14668124793666.5 14669551030643.2 14095394858714.7 14396078475106.3 14648208763299.6 14533177456498.3 14500341099727.8 14679635772213.5 14927794935066 15250010007072.9 15660029769007 15972694108742 16188539208548.8
Euro area EMU GDP per capita, PPP (current international $) NY.GDP.PCAP.PP.CD 16973.9383663422 17931.9023149002 18507.8581526472 18742.1247458822 19555.4686957586 20402.7750999654 21028.2801375876 21909.085309176 22960.5222410277 23840.9642309551 25325.3240430394 26505.0080274808 27533.8273766187 27955.0591846232 29054.0995147471 30076.9201616976 32490.8724393878 34377.1101521218 35710.1625692799 34814.0785750663 35801.5419033141 37437.7684348642 37804.6927955632 38985.1386517301 39951.3383255843 41035.5535125116 43545.4886278461 45744.5616490923 49052.4289080401 50686.0930635272
Euro area EMU Forest rents (% of GDP) NY.GDP.FRST.RT.ZS 0.113786404000893 0.0977747110897001 0.0934574894428187 0.116141719568753 0.114666980312142 0.103164746770468 0.106728377246018 0.0931722670626545 0.0926623151146108 0.0989511211468543 0.103786810863998 0.0918877265042499 0.0909755308852615 0.0822317318989324 0.0753999685564943 0.0816606455055214 0.070057818705074 0.0596702179359801 0.0637895623382453 0.0727837372255181 0.0694168750958758 0.038742825900838 0.036634034585649 0.0429457518963793 0.0443291167231902 0.0475792750513709 0.0497034752016481 0.0463952424584009 0.0429016694550622 0.0411917103879323 0.0496617668685333 0.0441606572529747 0.0443394891069393 0.0419672402895528 0.033082105427986 0.0333298584241192 0.0362739477263929 0.0424013467265068 0.0409541406253452 0.0381216975262158 0.0450890016272693 0.0434464026516873 0.0421886338030372 0.0426631298960708 0.0450814374409787 0.0432294076786877 0.0432256125216548 0.0409049376760426 0.0404805198479643
Euro area EMU Adjusted net savings, including particulate emission damage (current US$) NY.ADJ.SVNG.CD
Euro area EMU Adjusted savings: mineral depletion (current US$) NY.ADJ.DMIN.CD
Euro area EMU Textiles and clothing (% of value added in manufacturing) NV.MNF.TXTL.ZS.UN
Euro area EMU Manufacturing, value added (current LCU) NV.IND.MANF.CN
Euro area EMU External balance on goods and services (current US$) NE.RSB.GNFS.CD
Euro area EMU Gross fixed capital formation (% of GDP) NE.GDI.FTOT.ZS 27.0389527066851 27.0979170908803 27.0316145108813 26.9772438638084 26.440733401255 25.3286752341017 24.6612895390572 24.6089977769955 24.4387523386377 24.536916701373 25.2445267662048 24.5422338521863 23.4481486945265 22.7826461142544 21.9991693235841 21.8693115774583 21.8083131495728 22.2117349808261 22.9835887348523 23.5844162574158 24.0033279545889 23.7227310787518 23.0996419102327 21.6695323990829 21.4722733872102 21.4493888457237 21.399350434146 21.3801833466019 21.8702024530452 22.432337244556 22.8591261102663 22.4443634961884 21.7340875593858 21.5997675374848 21.6711079003666 21.9602231827578 22.5854912726433 23.0666997026028 22.7804187001183 21.0145056996864 20.6014546377589 20.6622280883837 20.0919306783927 19.4574373733032 19.3832605136072 19.7532123060177 20.0135257735051 20.3567826367739 20.6923304693682 21.4872200232566
Euro area EMU Gross national expenditure (constant 2010 US$) NE.DAB.TOTL.KD 5162555101032.17 5353952187573.84 5616212037054.51 5959317654190.85 6086402285922.97 6034238456060.61 6365101037689.92 6528680426957.91 6711380695417 7012190968950.89 7195883773444.97 7112259034120.85 7153168080081.13 7209467182815.5 7325383034503.55 7487096296951.67 7768115369660.76 8047212123024.53 8413456814081.89 8755159699698.27 9078398680667.95 9305781195147.94 9437353899996.69 9253232243602.33 9460148593785.44 9672459347874.06 9813685137567.27 10033923664362.4 10417249447501.3 10787415068179 11157430712362.1 11349720827385.7 11396129277676.2 11549761857120.6 11766051516611.8 11988341521231.4 12355915172862.1 12717448337888 12750670423140.7 12251002631322.1 12436514374760.4 12533720834812.2 12238613097045.8 12173125873337.2 12341179956272.8 12632110367358.5 12930256073210.2 13233901528679.6 13459767697699.4 13715446700615.1
Euro area EMU Households and NPISHs Final consumption expenditure (annual % growth) NE.CON.PRVT.KD.ZG 5.05254999032188 5.11514924924884 5.19657872945925 2.24588830012505 2.28376357405871 4.77864056921449 3.34477772472448 3.06069431278671 3.78245464375016 2.24681839935687 0.490446543532144 0.773389056661827 0.910215361995824 1.29649508065832 2.11743638230311 3.51161658270853 3.60817775846263 3.51418362894889 3.68277880062726 3.21982607593694 2.71899709861934 1.98913871023963 -0.756521909722068 1.60083576187857 1.79903377616253 2.08818935526961 1.96579929509295 3.26353086450546 3.36925097515615 2.94039344805832 1.85847164618347 0.793566293900838 1.18469282136499 1.75371605030948 1.98789527264186 2.05438029555043 1.82448587200777 0.264433717010078 -1.1104096900069 0.870679317783882 0.0945066554258318 -1.04787043676482 -0.635918016017214 0.896385359085244 1.86204150095237 2.01678336276731 1.79938288741641 1.46067178570348 1.30051961426214
Euro area EMU Armed forces personnel (% of total labor force) MS.MIL.TOTL.TF.ZS 1.85077871760155 1.72650624754848 1.60770360722972 1.52848260571169 1.52478979088331 1.67024158327566 1.65100060392939 1.55095774186002 1.49951943109722 1.4185409704636 1.27966557892728 1.28525880982083 1.28005955001853 1.22101602241155 1.17976847324778 1.17769794019555 1.12608530203767 1.10420134526127 1.09077163112099 0.994756001159802 1.01490518173189 0.972431668253633 0.949437137026409 0.93613835681702 0.918751831950667 0.908037906771191 0.903404287554491 0.878370301528112 0.877027549957783
Euro area EMU Fixed broadband subscriptions IT.NET.BBND 1309768 5079735 10106282 17593842 29826736 43227647 57427670 70822312 79836071 87304925 93258912 97708287 101216073 104962014 109188485 113421671 117745845 121887427 125093170 128425152
Euro area EMU Methodology assessment of statistical capacity (scale 0 - 100) IQ.SCI.MTHD
Euro area EMU CPIA financial sector rating (1=low to 6=high) IQ.CPA.FINS.XQ
Euro area EMU Public private partnerships investment in water and sanitation (current US$) IE.PPN.WATR.CD
Euro area EMU Firms expected to give gifts in meetings with tax officials (% of firms) IC.TAX.GIFT.ZS 0.69
Euro area EMU Time to import, documentary compliance (hours) IC.IMP.TMDC 0.594736842105263 0.594736842105263 0.594736842105263 0.594736842105263 0.594736842105263 0.594736842105263
Euro area EMU Informal payments to public officials (% of firms) IC.FRM.CORR.ZS 7.11
Euro area EMU Depth of credit information index (0=low to 8=high) IC.CRD.INFO.XQ 5.63157894736842 5.68421052631579 5.84210526315789 6.10526315789474 6.26315789473684 6.31578947368421 6.31578947368421
Euro area EMU Subsidies and other transfers (% of expense) GC.XPN.TRFT.ZS 59.70841994149 67.6824183460736 62.3900442365383 63.2470380020091 62.8087508821454 45.61099407824 47.5882305264376 48.5383917360375 48.8523930642425 50.2262162973954 48.7291828470362 48.6450956676826 48.9176921249814 49.1768845162802 47.8751636383279 46.9348601910037 47.2942208942558 48.5709557867605 48.5105928339576 49.2831850287939 51.0378791463198 50.4032952622118 51.4724692251058 52.4981382747421 52.6050693055121 53.024581411239 53.7471173173208 54.921172793257 55.7293505583582 57.0852173419539
Euro area EMU Tax revenue (% of GDP) GC.TAX.TOTL.GD.ZS 13.8979666348238 14.1233880152528 14.2190587009656 13.8077970176718 14.5106892739605 14.6671076219248 14.8339678577377 14.9276386882941 15.3537282619701 15.3651594121107 15.5811017095236 16.0209844542885 16.0972616329996 16.2308232514182 16.8037776632118 16.943152738868 17.0887203896821 17.2781206246069 17.2221812157555 18.0764818736499 18.1813831040517 18.0325163798374 17.9266841334008 18.7023080056898 18.876826661513 19.328351813135 19.6559348375262 20.1229219233054 19.9261359967556 19.5294803405578 19.1307857829288 18.8997390389239 18.6211700437808 18.795805509912 19.195755382954 19.3083254207 19.1857325870173 18.6655317190855 18.8638291745547 19.0000462993762 19.5098069144847 19.8305483330677 19.8240329028286 19.7184856911992 19.6795866771763 19.1957645490107 19.3462465354977 19.4708118278107
Euro area EMU Social contributions (current LCU) GC.REV.SOCL.CN
Euro area EMU 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 94.8265686035156 97.1137619018555 97.2692718505859
Euro area EMU Wholesale price index (2010 = 100) FP.WPI.TOTL
Euro area EMU Total reserves (includes gold, current US$) FI.RES.TOTL.CD 373680648643.053 351979822071.882 346050008184.583 383932923077.543 387350656564.326 382789632831.183 377529937016.727 429171451915.006 510182906141.806 522439861821.438 660334751778.785 787897995554.545 847726435343.261 909437841338.521 748400035597.623 745741427667.848 701552553007.993 741790800990.739 802685567836.537 822526232328.578 914226843967.921
Euro area EMU Level of water stress: freshwater withdrawal as a proportion of available freshwater resources ER.H2O.FWST.ZS 413.5471
Euro area EMU Urban population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.UR.ZS 5.67006469739924 5.69439073531374 5.73690353846723
Euro area EMU PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) EN.ATM.PM25.MC.ZS 93.0091791653948 92.4722243195503 92.0367235292536 91.9850936659645 91.4322079483198 92.6537634812442 89.2912121729075 87.6573948585411 82.7703390981119 84.3955325953106 77.2570314567714 77.3693214922126
Euro area EMU Agricultural methane emissions (% of total) EN.ATM.METH.AG.ZS 43.7478193074961 43.9826682515008 44.1545219755143 44.8955450285434 45.2852421404545 45.3264518325003 44.8205247689582 44.6247661617066 44.945958613667 44.7021535554725 45.0616418881079 45.1553275796244 45.9151194593626 45.9925262518037 46.6233944747763 46.1371863529673 46.5060996952573 46.3585946417076 46.6619452300932 46.1309965580837 46.3427574203044 46.0383338741357 45.5112647627036 45.1818968819578 44.9822288451158 45.1401481405657 43.6398562380278 44.1369462674413 44.1662923004046 44.8385004666964 45.0095772782833 45.4304799483497 45.7743335946335 45.7777558007295 46.0318931967605 46.3718222091308 46.5286324267114 46.5259324264928 46.702152995488
Euro area EMU CO2 emissions from gaseous fuel consumption (% of total) EN.ATM.CO2E.GF.ZS 3.14240361591649 3.44741405692135 3.45158736479175 3.2336780314665 3.27727293093125 3.31890049941774 3.6976488981089 4.25944058168759 5.21848037851378 5.7179371288749 7.00312453673611 8.31641614638337 9.57975147583622 10.1336658687089 11.16196287821 12.5945800366887 12.6169209071603 12.9733455115196 13.0434683295644 13.2194532449293 13.2347850784155 14.0879663272336 13.3796089447531 14.3555569079715 15.4511918634911 15.9200679502837 15.1376534931962 15.4091408118148 15.4383003097609 16.7268041237113 17.4856612108939 16.8914692766549 17.319465090154 18.0578451990337 18.0439130466403 19.2766473905904 20.4811107568368 20.4570542417087 20.9036481554301 21.8474572474886 22.3601750358401 22.610733364723 22.834359242343 23.5975493139711 24.1501530957146 25.242181492523 25.1790845737474 25.322073415388 26.5623720320102 27.1417827210237 28.4764768352387 27.0350080660931 27.1109385137496 27.2076103249409 25.033834932372 23.0030009392253 24.3701730902802
Euro area EMU Electricity production from oil sources (% of total) EG.ELC.PETR.ZS 5.03845869802935 7.40012579910341 9.93157675768451 11.4178678462142 15.8468780428455 16.7685219370572 17.2373236885075 18.697493687676 19.7041626737746 21.715467620729 22.9830910964677 24.7464284163747 26.1519511087191 28.8597102568717 25.980037934476 24.1324041543572 26.1693967032074 20.8758228096787 22.436833224939 21.8690833173058 22.3619751563026 19.3260081696353 16.2270507300269 13.2141011564254 9.35052259691786 8.57775946869051 8.63224245903268 8.83744053788135 8.20648017318325 9.54718055216639 9.61597705848872 10.4444979586808 10.8451230114102 9.88346093604284 9.73852950972629 10.107043922736 9.3153416741268 9.05741807127676 9.3272445846909 8.50535959308385 7.37017561947967 6.86968167859414 7.49932308280732 6.61349366800259 5.65195460934292 5.47543586759231 5.05701151281882 4.20694299252168 3.91745708896362 3.71893029772917 3.13859340607363 2.80945231762392 2.88230483902544 2.4155772520128 2.36245538556604 2.42886527027877
Euro area EMU Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) DT.TDS.DPPG.CD
Euro area EMU Net official development assistance and official aid received (current US$) DT.ODA.ALLD.CD
Euro area EMU PPG, private creditors (NFL, current US$) DT.NFL.PRVT.CD
Euro area EMU Net official flows from UN agencies, IFAD (current US$) DT.NFL.IFAD.CD
Euro area EMU External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) DT.DOD.DPPG.CD
Euro area EMU Net bilateral aid flows from DAC donors, Portugal (current US$) DC.DAC.PRTL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Spain (current US$) DC.DAC.ESPL.CD
Euro area EMU S&P Global Equity Indices (annual % change) CM.MKT.INDX.ZG
Euro area EMU Primary income receipts (BoP, current US$) BX.GSR.FCTY.CD 251488570744.568 259763342029.414 194215610592.405 231563045746.725 242843116421.493 258740624576.71 272263341717.458 369545533624.914 382630109082.502 371417580097.499 427192421218.539 525357072526.993 754242962016.249 989041602852.491 1269256249294.1 1667468660168.06 1659522908071.4 1308680153079.39 1373900063850.67 1568147423001.96 1436897316226.75 1475200010673.73 1484973206482.6 1275677703734.28 1285551651326.65 1368263690582.87 1559478873792.99 1518291541618.53
Euro area EMU Current account balance (% of GDP) BN.CAB.XOKA.GD.ZS
Euro area EMU Trade in services (% of GDP) BG.GSR.NFSV.GD.ZS 7.7755603048059 8.34581874764573 8.60240440028477 8.73938738112967 8.75518354549544 9.4696179687175 10.2780792482363 10.1244332238832 9.83302815356537 10.0613781206824 10.2601832976291 9.28283044254641 9.14868987504368 8.99894165145025 9.32588491987059 9.57593026962011 9.42001331085946 9.98136690526902 10.343194779432 10.0907080705119 10.1326287907489 10.2148156424186 11.0128054353374 11.369416443466 12.7024979128478 13.8036388887496 14.0457347263774 14.6037952579425 13.9836753679809 14.6824605681914 16.463816482061 17.0648817197805 17.5786765181826 18.190583585503 17.6664430471544 18.4858054666617 19.1589357956848 20.2761785167675 21.004669734979 22.3427852399188 24.4851452871827 24.5237749886391 25.3889709235991 25.9109285362994 27.3355897928308
Euro area EMU Urban land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.UR.ZS 0.901015305786682 0.948014769009373 0.947756448474858
Euro area EMU Travel services (% of commercial service exports) TX.VAL.TRVL.ZS.WT 31.7811435619564 27.4235424588617 28.8021760253409 29.2786117492051 28.9264773063036 28.3913064489775 26.6391353839216 26.9153867123009 28.137228864895 28.7994210598893 29.3152974508643 30.3796577544566 31.1326072521536 31.7225968468726 31.0509702649637 30.8029443254631 32.6533575987772 32.4316298984672 31.4925306154832 31.8039674393299 31.8413785457835 31.7002457406644 30.8862676539673 30.4563994798218 31.0393846312033 30.457209042896 29.2130059180001 26.9459962797805 26.8338088276764 25.4759827990561 24.4300213165314 24.0347366123213 22.9833603703797 22.3653866839057 22.5170842373841 21.4255291972681 21.5735786185959 21.0485231204198 21.2658715484767 20.8450259350673 20.0489774958416 19.872259229268 19.7977618298918 19.6932673763173 19.6171196185529
Euro area EMU Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) TX.VAL.MRCH.OR.ZS 21.4870160535973 19.2331067124392 16.7206601674108 16.1073354150684 15.4719216812352 15.5211386768991 15.574438724673 15.2612611479954 14.5704788059429 13.4434797138285 12.9173198899152 12.6457429983532 11.9079864442726 12.1153793343035 14.5633428082804 17.4294356569393 15.8049946634491 15.9367757552567 15.2586341210729 13.9344613170162 15.146926585494 17.4995507452445 15.8469257979349 14.3783973832009 13.2486644483883 12.591233129927 10.6882824390321 9.49308505607983 8.99340720944401 8.8678284051715 8.88360504067572 9.15274577085767 9.80288307494552 12.509654517665 11.7242835071128 12.0406755317222 12.3607874468983 12.4174819945115 11.5171740761895 10.1895387060735 10.5566752454678 10.981867670314 11.1730954459511 11.409331123621 12.1462093528666 12.8795520484128 13.4376066262308 14.1400941112247 15.2278509508277 15.6886642581088 16.8042915647542 17.3805686749401 18.2657372998361 18.2928299649919 17.6576951006292 16.5641304015704 16.2878205399317 16.7817471652342 16.3979489882652 16.2960637072232
Euro area EMU Transport services (% of commercial service imports) TM.VAL.TRAN.ZS.WT 33.3874300972885 38.5642344498626 36.8064820179683 36.0831681421625 36.4016886655532 35.2026894434703 36.707167653378 34.9293747473856 35.0903585044792 35.4080745840321 33.7108266119102 30.9291738130344 30.7737474883091 31.1199342102317 31.2107268267913 28.2674611543851 27.6901334444626 26.1786906311465 25.4655666444421 26.0885450477935 26.0836546512354 25.5432850911672 25.2772237267434 24.6510966203878 23.7068121877408 24.0548222328625 23.2470106778493 23.4848154800572 23.0034645676146 23.716330443487 23.2451241730522 23.7893470329429 24.3161250421988 24.5690728267419 21.5289738074261 23.9106228445959 23.7508870874254 23.232705394709 21.8828022717277 20.9165636581451 20.4398415885797 20.154449294995 20.3167407583384 20.5934963633298 19.935706175101
Euro area EMU Merchandise imports from economies in the Arab World (% of total merchandise imports) TM.VAL.MRCH.AL.ZS 8.64152175956078 8.17044279486133 8.07390894331438 7.88409388746981 7.97038573308209 7.74217595485643 7.58504222289043 8.22991339069918 8.55752311081024 7.52284199343113 7.17180386071528 7.67032715290601 7.23195174206917 7.39312061939045 12.4469221697106 11.4775507602474 11.5390162865869 10.8167735133213 9.43338354316446 10.97191651414 13.1092684249118 14.0869540912083 11.5338393498994 9.15429323573117 8.30094339615762 7.79508946024177 4.78674896433642 4.31951438005344 3.37567667870146 3.73017026294124 3.93732025438669 3.6826869753383 3.3847025991055 3.54123866359031 3.08604836497737 2.79928852739326 3.07093308920203 2.95201257292087 2.36631705582452 2.52936165685123 3.42155764339716 3.13490187829991 2.89784031630524 2.89278857222741 3.07602301079299 3.87835604218346 3.81503427333033 3.50275807492519 4.14668016498399 3.28968953758415 3.66485769074811 3.6563599484076 4.44216935274652 3.99127391266775 3.48851878286459 2.86472427940189 2.5158169743928 2.7419413100947 3.11966696695494 2.99156594342748
Euro area EMU Binding coverage, primary products (%) TM.TAX.TCOM.BC.ZS
Euro area EMU Binding coverage, manufactured products (%) TM.TAX.MANF.BC.ZS
Euro area EMU Urban population growth (annual %) SP.URB.GROW 1.68508518146977 1.71849099036147 1.83285651681022 1.80045851062344 1.77405928909084 1.69376467849476 1.55599699032165 1.43031106125997 1.31160537729957 1.16352998563478 1.1353076393319 1.17309806866206 1.10000715742989 1.01434294448256 0.889735197853042 0.773689701405871 0.754126981099006 0.760190744642841 0.762047162723633 0.777209417000961 0.726021304499454 0.496486170131377 0.357266446533998 0.26529668696422 0.264656987331463 0.376426382321668 0.516140799262189 0.55985107431205 0.580358430715847 0.667655030735574 0.694420395277675 0.67455668544541 0.640149011046205 0.54602654696221 0.505448260204403 0.503826480412073 0.479534654498593 0.448412326968594 0.50164198373399 0.588328131686481 0.667246223448942 0.823626400140014 0.886518741298033 0.886480318943697 0.848865737333455 0.790639362301619 0.829732275002499 0.795026794266732 0.630295184405114 0.544002835854471 0.0835977815790869 0.50541019726073 0.612201839545207 0.606896947135311 0.581399809742791 0.573372914818421 0.484214220254572 0.488681668193138 0.538318000065203
Euro area EMU Researchers in R&D (per million people) SP.POP.SCIE.RD.P6 2140.52165205414 2103.51304209291 2186.17590721899 2241.71223114306 2388.18633492168 2411.36793336856 2501.73416086038 2502.4679168053 2731.13132756728 2761.7522406464 2881.4639383981 2995.12147836276 3173.99979777495 3250.44537111062 3359.60501849905 3397.92186530352 3531.19273095465 3566.01241021564 3594.40686828635 3760.56304592373 3843.92237777933 4018.04050147365 4180.055427683
Euro area EMU Population ages 65 and above, female (% of female population) SP.POP.65UP.FE.ZS 11.6879002793673 11.8862707682699 12.0862240784167 12.2899938816525 12.4976747118802 12.7130372906663 12.9392326932133 13.1667844444467 13.3988975707819 13.6393357778292 13.8821824890503 14.1245132575901 14.3552899428947 14.5788286537303 14.8018311122687 15.0240374441736 15.2918702277247 15.5678562350728 15.8198598834338 15.9992159045799 16.081205333429 16.080749185374 15.9746042995046 15.8266669385201 15.7317201571466 15.7467280184323 15.8790416056953 16.1090312018034 16.4009607736073 16.6965972220036 16.9592874274246 17.2025936222537 17.4175196080879 17.6109828580176 17.7956334479283 17.9821324647054 18.1973069132015 18.3970892475457 18.5932528690081 18.8005570378873 19.0269478068486 19.2207382495076 19.4284329554322 19.6394230171127 19.8340057556955 20.0027361768234 20.1633591890281 20.2896272493338 20.4059143577823 20.5483857263875 20.7425941851724 20.9383004175649 21.1913182299885 21.4869835394946 21.7985708694544 22.1082515554164 22.3545232624821 22.5954264154472 22.8361742392916 23.0924919724998
Euro area EMU Population ages 30-34, male (% of male population) SP.POP.3034.MA.5Y 7.29229227314701 7.27944738131496 7.25727938744898 7.23144361820002 7.21006051170887 7.19872258360698 7.19807850568275 7.22600564302035 7.25835220979512 7.25860995813742 7.20340994140729 7.1152335991512 6.97749143394712 6.82850392059383 6.7297765077552 6.71619538075222 6.77119359817208 6.90854989648151 7.08878331554948 7.24827149292592 7.3481141487268 7.40207237031158 7.40691537931847 7.38660818338041 7.38068326800134 7.41227793473529 7.46428938259494 7.54280610150932 7.64155913300192 7.75084338509798 7.86319376121371 7.98287749857916 8.11104296590588 8.23438848026405 8.33395683707182 8.39797670830766 8.42434095535831 8.41266352888154 8.36390098226186 8.28275916534774 8.17418591457483 8.05785635976943 7.9229731107747 7.77866596415066 7.63639333325682 7.50330510808027 7.35857641881157 7.22811301471909 7.11266350194111 7.0123907812477 6.92824163584534 6.84529479480037 6.77458043071182 6.71214606128449 6.64963149775301 6.58257617685892 6.52821924894133 6.47270971399804 6.41670829666111 6.36077545096323
Euro area EMU Population ages 05-09, male (% of male population) SP.POP.0509.MA.5Y 8.81393360183011 8.76284283286603 8.75001672042809 8.77649025049697 8.82547028633338 8.86910781038534 8.91815126250784 8.98241801062494 9.05073149603924 9.10434245081877 9.12285659612236 9.11005067625536 9.04978451095216 8.94218488403884 8.80108835812011 8.64939436995542 8.49847874434247 8.31822703873738 8.11351649186574 7.89406450799429 7.67359683898762 7.47325117820292 7.29144990159876 7.13072182297676 6.98722293387539 6.85145260239766 6.73037009837503 6.63446518828887 6.56161172650796 6.50186955418932 6.44041246885796 6.38909213961678 6.33262404425657 6.26844057085173 6.19855888944934 6.12733957358053 6.0544483493579 5.97284584164277 5.88333000466214 5.7912484514933 5.70430450708329 5.63050057705652 5.56510856849251 5.50774817908041 5.45751727320146 5.41228412516876 5.39198053834999 5.37688929244814 5.36450780206906 5.35267776390597 5.33790505081766 5.35126802998603 5.36996552396026 5.39258097631792 5.4100468351653 5.40966108789671 5.40543375370519 5.38533062777742 5.34869768951181 5.3024639731676
Euro area EMU Survival to age 65, female (% of cohort) SP.DYN.TO65.FE.ZS 79.221522261471 79.6889762037446 80.1585702365264 80.4500629617192 80.742363526635 81.0348569100067 81.3269823249501 81.6182951421308 81.9119148135122 82.2054208324738 82.5000116284995 82.7939390832834 83.0861511740433 83.4525169913966 83.8183408980435 84.1832680195115 84.5485180551123 84.9154259158734 85.2345707634691 85.5529743711294 85.8703031564378 86.1879035115616 86.5050623710003 86.7790340335481 87.0537766756506 87.3291465375987 87.6042497599881 87.8793537821721 88.0784081281744 88.2767859932694 88.4752370002772 88.6757276029434 88.87766621223 89.097841077083 89.3173658461754 89.5359663410978 89.7534766055807 89.970632586802 90.1593659387424 90.3467825660805 90.5338918740863 90.7228430698778 90.9128874604444 91.0621454406464 91.2121533985271 91.3622700905454 91.5123776352652 91.6629835458113 91.7804706442784 91.8964347125341 92.0119087149481 92.1289151322638 92.241442006279 92.3590960846395 92.4760566174261 92.590766545669 92.7064527526564 92.8237331256807 92.9391448610131
Euro area EMU Prevalence of severe food insecurity in the population (%) SN.ITK.SVFI.ZS
Euro area EMU Unemployment, female (% of female labor force) (modeled ILO estimate) SL.UEM.TOTL.FE.ZS 10.8868801576246 11.5268539727044 13.0296908502889 14.1276043118824 13.9948584857884 14.042860902548 13.9507188914917 13.5448783273201 12.6539532996636 11.4587722384789 9.92885116356226 10.0028544874827 10.1440675504405 10.3920820620377 10.1335494337458 9.43886357733237 8.47381497271831 8.27676447366589 9.71310190722197 10.2530302011812 10.3626524137473 11.4551900742834 12.0534896029846 11.7874192161966 11.034504728707 10.3768737251851 9.45484247742819 8.57105623988008 7.93745419399031
Euro area EMU Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.MA.ZS 15.5639087660949 16.578324067468 21.0495654087062 23.2605373713182 22.0818977592182 22.7990469163825 22.4101853640783 20.8709577057678 19.5745906408015 17.3905686620933 15.7305249528015 16.2349384942234 17.1021358509162 17.8424337149553 17.9594904751468 16.5200445003893 15.0643993456407 16.0757138158951 21.941811412234 22.8394991696327 23.1792088428731 26.0744768110825 27.3067230683405 27.0107580418532 25.5588053996161 23.9840563706724 21.6963045676099 19.6756101817052 18.2274352314661
Euro area EMU Ratio of female to male labor force participation rate (%) (modeled ILO estimate) SL.TLF.CACT.FM.ZS 61.7169238914379 63.3845799279817 64.0641811979396 64.5644045678589 65.5109048476136 66.3200667454779 66.9623524137136 67.5139450254642 68.0891227050465 69.1034996255755 69.7407800212981 70.0863524638071 71.0054746969508 72.0733774862214 72.7675707209172 73.3871408430627 74.2655377622632 74.9471264913438 75.6572345900295 76.6431503307676 77.3212313789308 77.9978053329354 78.6357898421862 79.2553610263968 79.6236889274318 79.8473800733914 80.271481141223 80.4423701276814 80.551967496281 80.9361303760734
Euro area EMU Labor force participation rate for ages 15-24, male (%) (national estimate) SL.TLF.ACTI.1524.MA.NE.ZS 55.3469864906081 54.8660458329166 57.2341734782386 56.2160015031311 56.2500419483677 56.5088380188972 55.6817442979331 54.2556037864258 54.1694562146656 52.8636671225857 50.7633486073125 49.2773846627239 48.0010733417467 46.698179150337 46.0866174272749 46.0347386070352 46.8406933443832 47.5710242130873 47.532705276953 47.2930946028159 47.545686416671 47.1690155103167 46.8768027031942 47.2782268898567 47.2628075159796 47.5779578864714 47.6225274849539 46.4754507468916 45.2599503461346 44.641414675986 44.1881754670633 43.5532848756199 42.6823209642851 42.2138633474736 41.945592146443 42.0642947438268 42.665968318521 42.8840443765916
Euro area EMU Children in employment, male (% of male children ages 7-14) SL.TLF.0714.MA.ZS
Euro area EMU Employment in industry, female (% of female employment) (modeled ILO estimate) SL.IND.EMPL.FE.ZS 19.9317329212781 19.4144830348813 18.8925919734794 18.5309508898081 18.2390389309004 17.5920192019514 17.1865199899893 17.258550889688 16.8214310584814 16.6184667626602 16.3763700630587 15.9985389876327 15.3423395129007 14.9370270178832 14.4136431298338 14.0486414338448 13.8578260819651 13.2056034234362 12.4494621483086 12.0693615313818 12.0339579375037 11.8680984084294 11.6942683660766 11.5749461015903 11.4670326822088 11.3693919254372 11.5257424170054 11.5752679309939 11.5384671726055
Euro area EMU Employment to population ratio, 15+, male (%) (modeled ILO estimate) SL.EMP.TOTL.SP.MA.ZS 63.9875308254741 62.6522684612731 60.8048885733261 59.7635602394242 59.5783373497931 59.2166947424963 59.1012997131675 59.4543466508637 59.8583175465788 60.3428026418789 60.4975401884182 60.2982827611776 60.0086718496981 59.6727027067205 59.9131997036319 60.3050016943872 60.847554595111 60.6652990627704 58.5957934091551 57.96042697287 57.7149675932549 56.900190910493 56.182162356095 56.1623620969446 56.5200685097331 57.093047814886 57.7408827679698 58.3934190960229 58.7231831048918
Euro area EMU Employment to population ratio, ages 15-24, female (%) (national estimate) SL.EMP.1524.SP.FE.NE.ZS 36.1337264266182 37.0428703321196 37.3289536157744 35.3704721771728 36.2968499987851 36.5432394079082 37.0874635758959 37.8385479800398 36.6786079054878 34.7885132224327 32.2273861596829 31.3708655894334 30.3420419790013 29.2142706082978 28.9860350542693 30.1773225475704 31.428460487093 32.5581919191435 33.0423850111425 32.9750575763639 32.9741847458449 32.3061607958015 32.3510882178255 32.7873640575474 33.987347719529 34.1418547435599 32.434851135831 31.2895267659565 31.006061173603 29.8275455661011 29.3140207131874 28.9192231295639 29.3241032763903 29.8153199682546 30.727339140035 31.3182389952251 31.8357245396951
Euro area EMU Multidimensional poverty index (scale 0-1) SI.POV.MDIM.XQ
Euro area EMU Income share held by highest 10% SI.DST.10TH.10
Euro area EMU External health expenditure per capita, PPP (current international $) SH.XPD.EHEX.PP.CD 0.0337048535585389 0.0374664572279701 0.0490411218815395 0.0577149168036358 0.0867408513043949 0.0805647661659324 0.0783212580824629 0.0906559835544123 0.0926870641772405 0.139132136033349 0.228501556302487 0.345282189522487 0.365237053974763 0.83946981163026 1.14944074881835 1.42972881902493 0.53114480769232 0.514036622770523 0.533021392440369
Euro area EMU Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%) SH.UHC.NOP1.ZS
Euro area EMU Suicide mortality rate, male (per 100,000 male population) SH.STA.SUIC.MA.P5 21.2760394319093 19.7559120202605 19.3351257609318 18.6369496506669 18.7262007260046
Euro area EMU People practicing open defecation (% of population) SH.STA.ODFC.ZS 0.045907577031753 0.0457167726049046 0.0451921629580972 0.0445839924687557 0.0439379554937505 0.0319992635562248 0 0 0 0 0 0 0 0 0 0 0 0
Euro area EMU People using at least basic sanitation services (% of population) SH.STA.BASS.ZS 98.5549945378254 98.5750960446722 98.5992945736114 98.621727740532 98.6414900160624 98.6613046142747 98.7030263969958 98.7192263374477 98.7345154156099 98.7495887092958 98.7652548389282 98.7789125309981 98.7930099973223 98.8058485491786 98.8263325641885 98.83837150791 98.8503545370675 98.8594245242755
Euro area EMU Lifetime risk of maternal death (1 in: rate varies by country) SH.MMR.RISK 9000 9300 9500 9600 10000 10100 10400 10500 10500 10500 10900 11000 11500 11700 12100 12200 12400 12000
Euro area EMU Young people (ages 15-24) newly infected with HIV SH.HIV.INCD.YG
Euro area EMU Mortality rate, neonatal (per 1,000 live births) SH.DYN.NMRT 4.79084971990071 4.6596187650876 4.48220817143256 4.25448512769277 4.05951278335711 3.87842236923559 3.71690316596906 3.52116750896136 3.36866507667497 3.23638529160063 3.12861395636384 3.03682775227478 2.95204490253584 2.84243988521634 2.7311190976065 2.63348200105644 2.57207291744281 2.47839902424635 2.41850554385932 2.37083314636371 2.33358044248651 2.29937786072049 2.27669074042855 2.26749186119209 2.28092641178555 2.24835827721472 2.24061297488051 2.24108721313275 2.23816432197007 2.23832111068084
Euro area EMU Cause of death, by injury (% of total) SH.DTH.INJR.ZS 5.36160586879705 4.74446214501342 4.5648431272723 4.8269487404868
Euro area EMU Women who believe a husband is justified in beating his wife (any of five reasons) (%) SG.VAW.REAS.ZS
Euro area EMU Expenditure on secondary education (% of government expenditure on education) SE.XPD.SECO.ZS 36.95921 39.38506 36.922965 40.88639 41.12496 42.71101 44.100505 41.0848 40.5712 40.84933 44.12536 44.060825 43.154945 40.84988 42.26239 46.26662 43.80159 45.61383 44.67646 40.89613 44.30794 43.74455 42.44916 42.16323 45.484065 45.75536 43.71706 43.84017 43.179605 42.637585 42.8153 42.93539 42.01525 38.80636 39.835405 37.66577 37.69886 37.971945
Euro area EMU Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.MS.ZS
Euro area EMU Trained teachers in upper secondary education (% of total teachers) SE.SEC.TCAQ.UP.ZS
Euro area EMU School enrollment, secondary, female (% gross) SE.SEC.ENRR.FE 75.22318 75.28541 76.56554 78.78366 80.22113 81.70003 82.87268 84.25482 85.09201 85.74019 86.61454 87.38415 87.3711 88.56829 89.01998 89.98007 92.18674 93.16714 93.50428 94.11734 94.594 96.26394 98.59582 102.2976 105.528 106.1506 106.5092 105.6805 102.3779 101.9924 102.709 104.0742 104.6742 105.1219 104.5522 106.4161 106.8166 106.6556 107.0738 106.6674 107.7536 108.0696 107.5513 108.3349 107.8044 107.9216 107.9153 107.9121 108.2542 108.3687
Euro area EMU Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) SE.SEC.CUAT.PO.MA.ZS
Euro area EMU Adjusted net enrollment rate, primary, female (% of primary school age children) SE.PRM.TENR.FE 98.04712 98.04775 98.22737 97.94165 98.62817 98.56388 98.48872 98.63847 98.85392 98.81592 98.30665 98.39596 98.39177 98.20586 97.69648
Euro area EMU School enrollment, primary, private (% of total primary) SE.PRM.PRIV.ZS 16.02252 15.99221 16.03041 15.93269 16.28634 16.33821 16.33055 16.41339 16.52823 16.70131 16.88298 17.02554 17.09228 17.15729 17.00152 16.78198 16.91855 16.93889 16.6637 16.65535 16.63421 16.54419 16.42961 16.36317 16.60061 16.49895 16.84649 16.52418 16.17282 15.92522 15.68819 15.5894 15.48416 15.27234 15.06056 14.85268 14.52196 14.22092 14.06763 13.91097 13.71575 13.51632 13.6469 13.6542 13.72246 13.74254 13.84796 13.85812 13.90687 13.90114
Euro area EMU Pupil-teacher ratio, primary SE.PRM.ENRL.TC.ZS 22.16151 22.1397 21.67292 21.56475 21.2835 21.01116 20.82845 20.32666 20.04613 19.77657 19.53473 19.41071 19.25425 19.12566 18.93256 18.55268 17.96307 17.8651 17.58157 17.44304 17.04056 16.48235 16.27283 15.93587 15.35743 15.63573 15.54025 15.3784 15.47417 15.23755 14.6687 14.37892 14.02949 13.95161 13.86827 13.68196 13.56853 13.3586 13.27048 13.16155 12.94273 12.76611 12.90934 13.14922 13.32559 13.29565 13.09754 13.20755 13.203
Euro area EMU School enrollment, preprimary (% gross) SE.PRE.ENRR 67.9352798461914 68.6895980834961 69.4369125366211 71.2630004882813 73.2702789306641 74.4567794799805 75.6281661987305 76.3258819580078 76.5300064086914 76.7629699707031 77.6104507446289 78.5563278198242 79.7438278198242 81.4244079589844 83.2006912231445 84.4462738037109 85.7857513427734 85.6975326538086 85.3039321899414 85.0096206665039 86.1771621704102 87.6984405517578 88.1841278076172 89.2169494628906 90.2926406860352 89.6493835449219 91.5299377441406 92.9102325439453 93.5517425537109 93.9676132202148 94.7520217895508 95.5571670532227 96.3243789672852 97.3422775268555 97.9931030273438 99.4676895141602 99.5836868286133 99.4654769897461 99.5699081420898 99.5998306274414 99.927131652832 100.171592712402 100.327827453613 100.655029296875 100.02205657959 100.118507385254 100.45938873291 99.9445571899414 100.205627441406 100.331398010254
Euro area EMU Coverage of social insurance programs in richest quintile (% of population) per_si_allsi.cov_q5_tot
Euro area EMU Coverage of unemployment benefits and ALMP in richest quintile (% of population) per_lm_alllm.cov_q5_tot
Euro area EMU Terms of trade adjustment (constant LCU) NY.TTF.GNFS.KN
Euro area EMU GNI per capita (constant LCU) NY.GNP.PCAP.KN
Euro area EMU Gross domestic savings (current LCU) NY.GDS.TOTL.CN
Euro area EMU GDP (constant 2010 US$) NY.GDP.MKTP.KD 2846429919274.39 3033511102473.41 3228166473813.27 3424501091299.81 3614550750994.41 3796257974953.41 3997076460132.01 4210690853776.84 4448051583244.09 4761271499789.39 5037380595464.8 5228682739121.53 5485758313954.01 5824544184995.12 6011885071496.03 5966678562600.91 6266720294739.56 6459945628930.5 6662165041021.15 6918296662566.43 7067366674181.25 7103737699459.92 7154651401436.26 7253551134368.16 7425366513093.65 7596891581890.84 7787427293818.87 7985504564235.78 8329957556181.17 8671722886477.67 8982529868160.1 9218218468063.95 9346592349228.04 9285273760002.03 9513650950055.24 9744751356644.47 9910343493361.38 10179019762969.9 10488849269322.5 10800799638645.4 11218498716648.7 11466006718622 11575647393396.7 11657073920738.5 11925163996458.3 12126459973550.4 12517917748738 12892976349516.9 12947222440955.1 12364632456030.9 12628837653379.8 12841829401759.6 12727405166657.6 12695647019251.7 12872560231063.9 13135710262099.8 13385759264810.8 13730839548126.5 13989230380950.3 14169747200125.6
Euro area EMU Coal rents (% of GDP) NY.GDP.COAL.RT.ZS 0.0564263313263181 0.0641897198052111 0.0487576874084316 0.0403404213225492 0.0719057227922278 0.219604279684587 0.236960529023848 0.202450992051092 0.137095909252962 0.106961066704706 0.132456529050359 0.278633453866864 0.316511294875519 0.173254739392416 0.121908971671403 0.133933111589395 0.050923713042707 0.022045134945056 0.0191404097648428 0.0250266123988809 0.0364746966851964 0.0298922661492719 0.0194665454366132 0.0110811348516715 0.00623526774106288 0.00925452507201082 0.00757787035470054 0.00620750132090359 0.00563372849501533 0.0028475587267587 0.00562214087306818 0.0153483312538146 0.00732275496754543 0.00576684836809259 0.0269853210090269 0.0210767707371762 0.0189881020097935 0.0199751643289892 0.0587532141334652 0.0191222746513051 0.0298474718527291 0.0376362708003851 0.0167986530954671 0.00616517477265169 0.00534658647797246 0.00511648017783008 0.00487351062454037 0.00632208442087985 0.00631314420804167
Euro area EMU Adjusted savings: particulate emission damage (% of GNI) NY.ADJ.DPEM.GN.ZS 0.117366944537721 0.112515988982616 0.105392368584016 0.102053720623729 0.0963969786880187 0.0923783646478075 0.0903029210245618 0.0862716254672815 0.0827011208277657 0.0795990360413884 0.0759323390891111 0.0744047471402606 0.07502060999765 0.0746093390935827 0.0702460132938539 0.0693592034487533 0.0670380364364748 0.0660265302326183 0.0663984622193467 0.0690377442467364 0.0664315807031711 0.0656625551542737 0.0641297858427955 0.0635984689327667 0.0608010831482713 0.0616528259782677 0.0585764279274371 0.0585687643298353 0.0585759201451211
Euro area EMU Services, value added (annual % growth) NV.SRV.TOTL.KD.ZG 2.18662163446443 0.996904258888961 2.24025226774597 2.75862526291529 2.36736572676008 2.97578026625527 3.42224634825827 2.97313777834694 3.8448912311208 2.7613775330251 1.38013850927312 0.768809119482981 2.20403151804271 1.98958784199415 3.20526671154427 3.3445334791852 1.59259803607334 -2.30015908058796 1.26675502344837 1.83453009048114 -0.182455899487834 0.227360435593098 1.22512487483917 1.55269576847708 1.61470605350658 2.38411458049316 1.96203169837754 1.72583486974602
Euro area EMU Industry (including construction), value added (current US$) NV.IND.TOTL.CD 1750065241806.6 1889734699087.23 1678804251771.49 1751265592168.52 2005479704176.51 1980867008058.67 1792654402491.35 1832623536690.09 1791291561065.2 1630664446610.49 1640436354905.9 1755050609812.85 2133715242424.83 2437490420546.17 2508373820713.79 2685651294448.17 3089298309145.51 3331371939869.62 2856063655872.07 2823318268429.18 3047304386285.5 2807034317003.06 2893212602431.95 2946923804156.08 2593243581728.3 2670243043758.52 2824536627137.44 3051762152199.61 2951286843942.48
Euro area EMU Agriculture, forestry, and fishing, value added per worker (constant 2010 US$) NV.AGR.EMPL.KD 20682.0622431154 22319.5940489136 22866.5877732787 23909.7062547163 25450.4717826159 26394.4493771081 26012.1526314928 26634.0622790439 25716.0927684984 30742.5738477966 28432.720224134 28505.7820739089 30840.5510228008 36084.0030064409 36607.2406723079 36383.2160085935 38627.0274359163 37760.2796711263 39560.2192292157 42340.6133712094 43506.8715311981 42463.8227940716 43377.3744325237 44315.6007833329 44665.7405987282
Euro area EMU Gross capital formation (current LCU) NE.GDI.TOTL.CN
Euro area EMU Exports of goods and services (constant 2010 US$) NE.EXP.GNFS.KD 638407390869.535 680850034018.728 744718408839.266 823156047686.132 881953471539.749 848014867752.47 932874788557.202 985266370412.65 1044864438914.46 1121407651404.19 1136963714958.45 1200880341197.58 1211176649884.54 1246273712708.8 1351057048203.46 1408173715245.87 1416138717715.6 1464101230506.6 1563683894893.94 1699825580451.93 1816559503284.72 1913848490435.23 1984521573583.19 2005990069901.52 2190803323592.91 2382834114276.19 2500689852315.89 2776143347125.35 2974435286322.87 3143741314326.17 3556069345745.8 3695393113582.82 3774560340778.66 3814320452209.62 4122476969714.23 4337987707731.59 4713288871205.22 5038582676966.54 5082084006062.59 4452736329166.33 4947589229825.66 5269512486720.67 5390155913086.17 5489859789320.7 5750800844822.31 6133440713099.65 6312028063367.56 6660927365185.98 6895808328935.12 7067240625002.16
Euro area EMU Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $) NE.CON.PRVT.PP.KD 5285154639819.4 5431335264147.11 5541597021771.85 5497874506925.54 5584883345084.96 5685127537704.65 5804200000986.46 5921112067934.71 6114001036006.23 6319607282738.7 6504970744325.85 6626741078106.64 6681204916316.98 6762645318622.13 6885702068776.9 7025799079366.67 7174398367064.53 7309139536013.63 7327967916577.62 7237892562100.6 7297350805579.59 7298712971906.37 7216811799418.61 7167185940121.54 7232919433521.23 7369296507013.15 7518896735092.51 7656395322233.73 7769965330167.15 7870987539369.68
Euro area EMU Arms exports (SIPRI trend indicator values) MS.MIL.XPRT.KD 1302000000 1342000000 1489000000 1690000000 2348000000 1945000000 2801000000 2595000000 2640000000 2680000000 3484000000 4401000000 4444000000 3657000000 3961000000 4744000000 4557000000 5548000000 6039000000 6243000000 7301000000 8422000000 8078000000 7853000000 7846000000 6760000000 5213000000 4032000000 4713000000 4760000000 4435000000 4542000000 3464000000 3573000000 4956000000 3669000000 4990000000 6094000000 6315000000 4805000000 3333000000 2935000000 3242000000 3907000000 4075000000 5577000000 7285000000 8473000000 6246000000 6720000000 4848000000 6181000000 4089000000 4400000000 5925000000 6118000000 6371000000 7177000000 5001000000 6462000000
Euro area EMU Scientific and technical journal articles IP.JRN.ARTC.SC 238855.81 246386 254819.97 263567.94 280005.46 309700.27 323971.14 341994.77 357571.17 373509.14 381371.14 397398.39 413718.92 421374.26 430422.04 424742.42 425952.81 425460.43 414171.55
Euro area EMU Other taxes payable by businesses (% of commercial profits) IC.TAX.OTHR.CP.ZS 2.425 1.95294117647059 1.7 1.63333333333333 1.73888888888889 1.6 2.1 2.77894736842105 1.78421052631579 1.79473684210526 1.8 1.68947368421053 1.71578947368421 1.72105263157895 1.71578947368421
Euro area EMU Time required to enforce a contract (days) IC.LGL.DURS 605.875 597.625 591.25 564.764705882353 564.764705882353 578.722222222222 591.5 595.388888888889 604.578947368421 613 631.421052631579 677.210526315789 663 670.947368421053 670.947368421053 670.947368421053 670.947368421053
Euro area EMU Firms with female top manager (% of firms) IC.FRM.FEMM.ZS 19.35
Euro area EMU Average time to clear exports through customs (days) IC.CUS.DURS.EX 5.43
Euro area EMU Human capital index (HCI), female (scale 0-1) HD.HCI.OVRL.FE
Euro area EMU Taxes on income, profits and capital gains (% of total taxes) GC.TAX.YPKG.ZS
Euro area EMU Revenue, excluding grants (% of GDP) GC.REV.XGRT.GD.ZS 24.7103675141486 25.6618291089188 26.0735142720808 26.3967603514917 27.3149559531307 27.8646713370451 28.236124699225 28.5424767198276 29.7206483342491 29.9134560224531 30.8712056073756 31.4875415276907 31.3613629267939 31.5645809075365 32.0235963166125 32.1364891572369 31.8221772781147 31.9243808647449 31.0293431387681 33.3098926941667 33.7690590365328 33.7574110123221 33.7622916946792 37.3941628166496 37.7422718723734 38.0164182194632 37.1271890776207 37.5238244591905 36.9131292141616 36.5065906450931 36.0862957519186 35.9910883933335 35.5185945546866 35.6116386156901 35.9352767781844 35.8618122618485 36.0680737097579 36.1246035024034 36.2208624789468 36.3858984462618 37.1319531860137 37.6844605027956 37.5742292129651 37.252589150273 37.1492232626755 36.0855153882369 36.2301459412169 36.2668110147454
Euro area EMU Research and development expenditure (% of GDP) GB.XPD.RSDV.GD.ZS 1.73828494366109 1.7117695163321 1.74003903277813 1.76526210623704 1.80672577240261 1.79607975572681 1.83623325579117 1.80398652195738 1.78173424958747 1.77747380660953 1.80040290544436 1.80476593892693 1.88776762537812 1.98384914996685 1.99152918989007 2.03933283630536 2.09495004705657 2.09935886545047 2.13450131674966 2.13251950516671 2.12768007900153 2.19537296342889 2.21013766159138
Euro area EMU Interest rate spread (lending rate minus deposit rate, %) FR.INR.LNDP
Euro area EMU Total reserves minus gold (current US$) FI.RES.XGLD.CD 256780151001.672 242326903634.967 234931305633.31 247168269816.659 223145006883.681 211970684208.96 184713500140.994 197005541458.006 215295777929.306 218716725671.438 282776610528.785 300242764004.545 316705331823.261 332540656058.521 330961276552.623 327597107667.848 333872473007.993 344413307190.739 353249050972.537 378390931228.578 386571309967.921
Euro area EMU Renewable internal freshwater resources, total (billion cubic meters) ER.H2O.INTR.K3 932.5305 932.5305 932.5305 932.5305 932.5305 932.5305 996.3105 1008.9105 1008.9105 1008.9105 1008.9105 1008.9105
Euro area EMU Population in largest city EN.URB.LCTY
Euro area EMU Disaster risk reduction progress score (1-5 scale; 5=best) EN.CLC.DRSK.XQ
Euro area EMU Methane emissions (kt of CO2 equivalent) EN.ATM.METH.KT.CE 370604.73 367594.398 367922.715 371431.019 376315.344 377345.389 382060.15 387337.97 390953.277 397092.922 398555.895 397275.497 394506.31 392955.688 395170.434 398309.775 397621.499 390996.004 387689.211 391944.45 392976.18 386794.906 376930.264 367619.416 362037.384 359600.16 371658.882 367650.585 362181.116 356930.819 352961.295 347076.291 340219.878 335580.051 330208.618 326534.541 322608.419 321012.439 317568.17 317961.486 317055.19 313613.166056331 308804.682412662
Euro area EMU CO2 emissions from liquid fuel consumption (kt) EN.ATM.CO2E.LF.KT 337073.762227623 377361.567051385 446376.328358178 525419.903377102 609519.715549119 682884.82774668 758163.676033209 836705.287487815 920946.276912297 1004805.56487641 1151933.17709329 1239076.14337399 1352065.00443002 1467004.20308491 1417001.31177671 1320802.08618975 1454177.98825912 1388797.23400651 1466298.31682258 1515584.8642942 1453330.92474433 1322449.15413517 1246835.66347243 1194960.86637229 1142819.40112861 1129292.52882763 1156226.01132564 1182563.41209103 1185501.99045715 1235630.37265642 1207358.32065356 1243672.24725979 1246864.341 1249343.233 1237451.152 1256442.545 1291638.411 1280930.771 1312089.27 1287212.342 1259064.45 1306544.766 1292448.818 1290945.348 1285980.23 1273010.051 1259035.114 1207011.385 1202684.325 1139575.255 1114445.304 1070701.661 1019741.362 1007735.604 994472.065
Euro area EMU Electricity production from renewable sources, excluding hydroelectric (% of total) EG.ELC.RNWX.ZS 0.615399513683427 0.627174252459401 0.591252540063875 0.594216620786403 0.550968643643257 0.560194312087601 0.717425388972406 0.736711119825792 0.757461607578589 0.743965849555673 0.967796698531755 0.9358149743668 0.837297706289684 0.804365002926583 0.630457273324637 0.695526954087114 0.635096287882661 0.64050810293786 0.65203617363304 0.623558071452522 0.738605250166363 0.72553588335051 0.634017122129011 0.608402060086001 0.601134403609771 0.624272826064768 0.659155451557035 0.622721718090088 0.64295230008584 0.612129773634218 0.88315427456289 0.90887707842138 0.954612654985309 1.04994146080571 1.1140178092858 1.21766957388006 1.21306453977473 1.46068121529666 1.70333045093663 1.84096169404829 2.19109071954726 2.41597162971025 2.97958491299833 3.46720459577013 4.1814723401226 4.90503830269623 5.66761384768734 6.74934489103781 7.68182230098476 9.06894401786578 10.003522143896 12.2896493087302 14.4335701650892 15.9985609808299 17.2493220213363 18.7394423214865
Euro area EMU Multilateral debt service (TDS, current US$) DT.TDS.MLAT.CD
Euro area EMU Net official aid received (constant 2018 US$) DT.ODA.OATL.KD
Euro area EMU Net official flows from UN agencies, UNAIDS (current US$) DT.NFL.UNAI.CD
Euro area EMU Net financial flows, IMF nonconcessional (NFL, current US$) DT.NFL.IMFN.CD
Euro area EMU Short-term debt (% of exports of goods, services and primary income) DT.DOD.DSTC.XP.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Sweden (current US$) DC.DAC.SWEL.CD
Euro area EMU Net bilateral aid flows from DAC donors, United Kingdom (current US$) DC.DAC.GBRL.CD
Euro area EMU Listed domestic companies, total CM.MKT.LDOM.NO 2972 2985 2477 2907 2779 2842 2797 2714 2640 2692 2645 2782 3037 2863 2885 2947 3917 3691 3622 2840 3787 3875 4038 4543 5239 5803 6739 6569 6627 3195 2924 6409 6587 6512 6250 6008 5926 5694 5534 5616 5470 5254 4750 4622
Euro area EMU Goods exports (BoP, current US$) BX.GSR.MRCH.CD 275750953049.419 305477867716.851 352357432624.255 424112833415.549 531040765403.774 589566383976.839 555702227044.614 536792478800.121 519834962367.352 534805871937.292 561778432699.27 703996837002.623 844157935642.752 944627297831.496 1009578294042.88 1219846158059.34 1207465771315.19 1288611560846.77 1164846557668.69 1320194605646.09 1646500051745.9 1686916050652.46 1666099020545.09 1739757824486.11 1724989008641.07 1757051409424.73 1783656590630.77 1886748715578.08 2263658404891.68 2742401085559.73 2945910843192.97 3321340334594.77 3936006897005.37 4340555442860.6 3354785333441.02 3723058621305.26 4368597071933.21 4202490578410.4 4378513970077 4465708156231.62 3937395729537.74 3970436207204.84 4342784692059.92 4742970828687.93 4577598194441.16
Euro area EMU Net trade in goods and services (BoP, current US$) BN.GSR.GNFS.CD 60002433630.5219 7216606539.3703 57838226680.0928 132119725760.677 138124835877.502 159718826097.642 106399015771.787 75348809179.0387 133661208992.712 27292202767.1875 121378590108.652 99337189995.815 112558825172.45 256775318625.05 369744359899.737 421234831961.622 440559899796.413 454073646576.98 493351864325.171 473370653092.666 431101993103.708
Euro area EMU Imports of goods and services (BoP, current US$) BM.GSR.GNFS.CD 337035791441.887 382837450877.582 430024520321.395 503637014751.665 658741510599.739 799687295941.616 732154828247.17 692299227120.84 651968693625.336 651188555170.969 677212890634.882 808576781387.925 1000906319313.93 1120294441685.64 1214423131120.9 1518562045298.38 1574704113355.11 1688683150985.91 1454611601032.11 1604183488053.9 1959915408227.38 1982168238222.93 1953190692424.52 2069492879952 2142127527596.21 2229265714590.78 2219947094298.74 2299686493423.05 2767619390276.58 3346186107249.32 3662916919816.23 4160684371405.48 4894870738999.88 5509006055588.35 4312992169917.4 4734118571225.26 5505531195072.17 5171843029257.5 5356396273340.38 5530632885090.68 4881405005805.91 4953100099946.39 5460395812579.72 6047346781000.13 5961820761839.88
Euro area EMU Forest area (% of land area) AG.LND.FRST.ZS 34.370005616242 34.5926451272156 34.8322865923388 35.063450954771 35.2946836540719 35.5259263148732 35.7571632487484 35.9888171531698 36.2203348410433 36.4520013250441 36.5230092885917 36.6327546279776 36.7286789288221 36.8248452517555 36.9325639828003 37.0369929628879 37.2059627008537 37.3654037212754 37.5332154991337 37.6948518323806 37.8358468632198 37.9257550676598 38.0086266848936 38.0757691335948 38.1630356907568 38.2579369976879 38.3391526831887
Euro area EMU Agricultural machinery, tractors AG.AGR.TRAC.NO 2475139 2698514 2937150 3177041 3385076 3600871 3799381 4006337 4204598 4333788 4522055 4660962 4786005 4905939 5039184 5160410 5305356 5437336 5582458 5774689 5873602 5975679 6069629 6131893 6194456 6272059 6339294 6420101 6446140 6438551 6390494 6446042 6491116 6472571 6462996 6464849 6423126 6416079 6407426 6498713 5571037 5638516 3854886 3855765 3845635
Euro area EMU Intentional homicides, female (per 100,000 female) VC.IHR.PSRC.FE.P5
Euro area EMU Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) TX.VAL.MRCH.R5.ZS 1.67702486067832 1.52385686716474 1.34092453962622 1.21500578059664 1.2864401799344 1.39364856896242 1.21380788377664 1.07661954072639 0.845216184069021 0.695826612999538 0.580905253883238 0.548811552584919 0.51415025557515 0.508547706355676 0.525147801101191 0.649605949153175 0.532453437257587 0.558623952170267 0.619889071886651 0.582561688062955 0.590247044962146 0.696378079867972 0.670650948917926 0.653032453662911 0.710931130284211 0.770735892852445 0.812788182582708 0.737736283614341 0.638648148437026 0.622661573825945 0.551243041134652 0.516670897723248 0.517994215700144 0.601179512727268 0.601156339827885 0.638813248439201 0.633806167240619 0.672796548939798 0.575676693830478 0.609361017315618 0.603560928413765 0.54833015540738 0.607774688530237 0.593485300327654 0.681420644914578 0.774721905993588 0.814766357730154 0.890854084112608 0.903285894557446 1.02459603075111 1.07956278817031 1.09316507672245 1.03751837449442 0.946327676607647 0.958014981492363 1.00459140207541 1.0198245876397 1.06792752057026 1.07479014358294 0.999536016487805
Euro area EMU Export unit value index (2000 = 100) TX.UVI.MRCH.XD.WD
Euro area EMU Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) TM.VAL.MRCH.R2.ZS 0.64668472213916 0.654105068047787 0.705876131691969 0.669351184595107 0.607169693958471 0.637659750623232 0.658124980588523 0.656725057892124 0.620026111691218 0.538806621507294 0.527358215537064 0.515223301090417 0.527065164767945 0.558148245884337 0.437727603386995 0.384845942622733 0.453350592942844 0.402642163498577 0.391081100612986 0.40295204407685 0.352984922272616 0.401672000576782 0.428781652698374 0.489914061685747 0.518637496011511 0.519832405674069 0.559040854449828 0.614587064482541 0.610809125524015 0.666848475685111 0.682729151676944 0.687469804544871 1.1119953672279 3.03412663166273 3.32156635531028 3.33057597753524 3.37654495480044 3.22686323297771 2.90462934504178 2.95650830402049 3.62516708887865 3.8315462447918 3.94634076417781 4.22653444711388 4.67568066704223 5.46182675929974 6.09927633743234 6.01171794806264 6.70759773973099 5.8718147724753 6.53050874398368 7.33378301097276 7.44349579694969 7.69586221863369 7.07391155554087 5.7916945784272 5.43492058310842 5.82886529822207 6.19853442461832 5.85347774358855
Euro area EMU Share of tariff lines with specific rates, primary products (%) TM.TAX.TCOM.SR.ZS
Euro area EMU Share of tariff lines with specific rates, manufactured products (%) TM.TAX.MANF.SR.ZS
Euro area EMU International tourism, number of departures ST.INT.DPRT 181274082.0169 206240472.26244 219235794.720674 228930416.320672 229301259.950345 233370780.833858 243734884.378923 238960416.652133 247995786.428244 246707818.427872 258121284.421702 268424068.144135 267294539.714943 268542802.851043 270662475.488274 266821665.838737 269730318.818664 273037473.689909 278951323.922403 293583943.627566 319076766.937868 346999220.909923
Euro area EMU Population, male SP.POP.TOTL.MA.IN 127183661 128453659 129771897 131124995 132459439 133774163 134994540 136055730 137052014 138050858 138881385 139723489 140738020 141700772 142566867 143352479 144031397 144631431 145233460 145843747 146485585 147062236 147482992 147803567 148082728 148402594 148821280 149290091 149849409 150546759 151287162 152028853 152766693 153417621 153886054 154303989 154724401 155113522 155463869 155896067 156450147 157109586 157946944 158876560 159815152 160690087 161471245 162325242 163122282 163649168 164034408 163675710 164038341 164602500 165191468 165738958 166294537 166717096 167149364 167616810
Euro area EMU Population ages 70-74, female (% of female population) SP.POP.7074.FE.5Y 3.35139917823186 3.37408222545453 3.39913325957063 3.43343873900821 3.48362215922812 3.55251932589576 3.58917276190145 3.64249971458409 3.7125341674659 3.79704479614161 3.89031364989219 3.93972262514794 3.99667144354604 4.06224846448846 4.13625304578714 4.21610045777995 4.25931065206835 4.30423365814862 4.35534705960458 4.41784953881297 4.49067060102378 4.52720690616602 4.58881980758028 4.64013059370353 4.62591154998832 4.51906330475437 4.28287447063173 3.95275388541697 3.61892305807917 3.4134249534525 3.4059087457028 3.54152113987548 3.850568581102 4.2407269106043 4.58107724265405 4.80022634334664 4.89530081029945 4.89972539739246 4.85146853936071 4.80524923988056 4.78963629438699 4.74630384142848 4.71969510171226 4.71102252128036 4.72242519762307 4.75440014061215 4.78757989613942 4.84705424388574 4.91069485964774 4.94938208945197 4.94952869399285 4.89450869473722 4.81609114408614 4.73646684780113 4.69803878569247 4.7244597438579 4.78170467417761 4.90083577395491 5.05175003050587 5.19287952735892
Euro area EMU Population ages 45-49, female (% of female population) SP.POP.4549.FE.5Y 6.65356690404922 6.30111790146363 5.81341775932771 5.30490867361896 4.94789317155275 4.83922402697861 4.94497213700587 5.29434217138368 5.77142664046791 6.19306104027937 6.44800174853091 6.55623254059965 6.51857731808993 6.38574094286183 6.24495687500538 6.15007941192699 6.08205020080053 6.03417560416494 6.0072252152163 5.99819016486478 6.00491677644311 6.02905192950602 6.08428109991433 6.14759793672967 6.18278911105595 6.17041533076257 6.10213077593225 5.98583646072148 5.85729760705972 5.77352842631737 5.76730538583357 5.8256925585574 5.95922002487933 6.13401795796534 6.29650015001848 6.41436183558648 6.49313632868098 6.53177788722128 6.54728864125111 6.569488239 6.61692757097586 6.67789682361744 6.75538618240207 6.84734405399426 6.94983028559214 7.05947104198113 7.16399848905552 7.27866090433527 7.39232750809285 7.48752567133553 7.55207670417001 7.58513922410657 7.59178611776108 7.56989673458689 7.5234969027445 7.45650845400518 7.37585432602773 7.27605666864249 7.16762401799993 7.06250796319286
Euro area EMU Population ages 15-64, female SP.POP.1564.FE.IN 89266691 89594120 90005312 90475441 90932093 91367090 91672664 91920482 92166507 92449801 92647707 92953365 93432532 93939850 94458100 95005339 95510782 96021986 96636252 97413849 98387595 99391119 100457346 101505078 102405653 103118026 103602385 103945398 104228687 104580314 104991287 105395212 105825913 106216903 106490682 106731580 106953340 107166729 107348608 107551310 107776712 108075535 108452380 108867269 109301340 109731854 110062681 110503887 110926886 111130464 111162050 110588016 110463579 110429109 110364116 110230270 110168861 109977355 109765917 109567803
Euro area EMU Women who were first married by age 18 (% of women ages 20-24) SP.M18.2024.FE.ZS
Euro area EMU Birth rate, crude (per 1,000 people) SP.DYN.CBRT.IN 18.8388134021421 19.0176037796437 18.899042184442 19.0048184377607 19.2091119360113 18.6176445572921 18.3447308404386 17.8849305433491 17.4245241421644 16.9952370614183 16.2778849303372 16.0548542450937 15.3680021551831 14.742316489461 14.6287877627531 14.1451754288736 14.0005551084441 13.6692888859972 13.4210484152727 13.1422843767927 13.0596649066697 12.7888109139638 12.6786794176193 12.341936682392 12.1701755273829 11.9957082524024 11.9297018361278 11.85828023981 11.9096777574013 11.6823516147421 11.7151403943702 11.3705520939354 11.2000344024643 10.9344088686904 10.5653557465021 10.4371937280455 10.5175031834368 10.5614296892047 10.4740003452983 10.4727684238331 10.6280748778213 10.3940426202902 10.3346907103368 10.3451744495476 10.4197756183413 10.3030432829345 10.3799827392093 10.3832274888529 10.5541788055857 10.3427158685409 10.3578554494594 10.1638498150002 10.0002663983006 9.73622468244069 9.79310533585931 9.66387312854419 9.70807428621292 9.48000847300247 9.27446610933466
Euro area EMU Children in employment, wage workers, female (% of female children in employment, ages 7-14) SL.WAG.0714.FE.ZS
Euro area EMU Unemployment with advanced education (% of total labor force with advanced education) SL.UEM.ADVN.ZS 7.97654570336779 7.17062188859374 6.22312074201335 5.24440990883692 5.46002796008098 5.67720350476926 5.8826422353395 5.70174985485779 5.08418734667564 4.53901856138915 4.48569435598918 6.10965172242648 6.92332761505781 7.69032518576944 9.3466119298082 10.1487459367763 9.60094001993833 8.82611251858448 7.94609337985714 7.00964571474127 6.39181282950161 6.00008115875343
Euro area EMU Labor force with intermediate education, female (% of female working-age population with intermediate education) SL.TLF.INTM.FE.ZS 56.0697903089841 58.5351642937836 58.5689696290286 58.7375901457962 60.0655617764773 60.1177632655763 59.2869786821704 60.0479699351073 60.3454252780717 59.7426035908152 60.3708021774275 60.4608792358984 60.4744541736499 60.7577647111241 61.1216690548632 61.320881151574 61.5615948425376 61.7119295034221 61.2678099048046 60.9732642704609 60.9925604779288 60.572498478642 60.4048217711848 59.9632216894232 60.0334155700568 59.531722200265 59.168469317628 58.8255641615299
Euro area EMU Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) SL.TLF.ACTI.MA.ZS 78.7121192259773 78.5735660330895 77.6518636671326 77.2052122111055 76.9756889970793 76.5324496129936 76.5936415392647 76.7320798324075 77.0097975437899 77.1757472841611 77.275777857639 77.0991733864007 77.410305142874 77.7411576132395 77.7694967410498 78.0549544978881 78.1804251524126 78.3558955008882 78.4847080460822 78.1703064473359 78.0464216213448 77.9346661212878 78.1574777319439 78.075054937709 77.988412139931 78.0967363577193 78.2954287175051 78.4840096199206 78.8010397034503 78.8749468201792
Euro area EMU Average working hours of children, study and work, ages 7-14 (hours per week) SL.TLF.0714.SW.TM
Euro area EMU Child employment in manufacturing (% of economically active children ages 7-14) SL.MNF.0714.ZS
Euro area EMU Vulnerable employment, total (% of total employment) (modeled ILO estimate) SL.EMP.VULN.ZS 13.2241170259317 13.146348966956 13.0617157163084 13.0902201117284 12.9911377323657 12.8514808962762 12.7573787496986 12.4466668814816 12.0083598177934 11.6741678600443 11.6412417453989 11.5614439858698 11.5610837321238 11.5361665179682 11.5268311964293 11.3946022752894 11.1774105065411 10.8115916645874 10.8254728013527 10.920840358538 10.8894714309452 10.9479393459903 10.8815057951828 10.8632328626609 10.6766347752024 10.5036880997447 10.2299749899912 10.0629168618596 10.0166802067803
Euro area EMU Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) SL.EMP.1524.SP.ZS 41.5897097426022 39.7081857021321 36.6359179707523 34.8701234996597 34.1478707775551 33.2233474522463 33.2929615202272 34.506953016203 35.5128941943956 36.5514125337664 36.8268827392322 36.5783938786616 36.2125625371143 35.6695898875444 36.0409580949569 36.7216264552296 37.6973586294265 37.5487625593305 34.7824530158304 33.5373501538534 33.0176436835502 31.6410016306062 30.9480842119279 30.5802635728671 31.0258165562133 31.5849651465059 32.5632105987378 33.565733857497 34.1427622268638
Euro area EMU Average transaction cost of sending remittances from a specific country (%) SI.RMT.COST.OB.ZS
Euro area EMU Poverty gap at $1.90 a day (2011 PPP) (%) SI.POV.GAPS
Euro area EMU Domestic general government health expenditure per capita, PPP (current international $) SH.XPD.GHED.PP.CD 1604.32781617035 1711.39498429468 1821.92610871178 1888.44950934366 1958.58848659736 2054.2188436883 2208.0362698406 2309.97879723616 2479.66865797508 2626.25268941721 2687.69925880322 2755.99322519306 2787.56020782261 2899.20646707026 2978.2209579954 3056.73639384525 3190.41788331247 3356.84282656191 3454.36066538695
Euro area EMU Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure SH.UHC.OOPC.10.TO
Euro area EMU Prevalence of wasting, weight for height, male (% of children under 5) SH.STA.WAST.MA.ZS
Euro area EMU Prevalence of overweight, weight for height (% of children under 5) SH.STA.OWGH.ZS
Euro area EMU Female genital mutilation prevalence (%) SH.STA.FGMS.ZS
Euro area EMU Prevalence of current tobacco use, males (% of male adults) SH.PRV.SMOK.MA 35.5642277364859 34.209593169683 33.2781254664992 32.4719011840521 31.6891777488566 30.8518370989798
Euro area EMU Immunization, DPT (% of children ages 12-23 months) SH.IMM.IDPT 90.29811274024 83.650194362776 90.3179677604554 83.6814865626301 82.9940876208433 87.3143682195255 85.5425282584481 88.9224314587142 90.1544524616767 84.9401517378587 88.7989948864186 90.1933979287968 92.1481102017341 92.7093518905814 92.7920313782248 95.0353928209008 92.580423320481 94.5108501970836 94.8013171438807 96.4333039753934 95.9134321310912 95.9507577944423 96.7739486841357 96.8415234038237 96.8387885711702 96.4390979561198 96.9019512503267 96.7620555060128 97.0651911925211 96.4226657039832 96.1307638064043 95.3200615492399 94.9357106720924 94.805430448719 94.7165137245058 94.7825257359643
Euro area EMU People using safely managed drinking water services, rural (% of rural population) SH.H2O.SMDW.RU.ZS
Euro area EMU Probability of dying among adolescents ages 10-14 years (per 1,000) SH.DYN.1014 1.09472415434666 1.06512406203218 1.04863486448232 0.997168713707847 0.970617092722091 0.964358813454706 0.892476354663754 0.860589882783415 0.838166195998318 0.831624089144192 0.772628288064991 0.733742570707201 0.723839324370337 0.693069246473636 0.657359771729169 0.649980644328547 0.60491532136833 0.579661496324891 0.574857273987252 0.545979823999263 0.52196275908931 0.52084274200779 0.520049502007061 0.488028304970547 0.464214475288841 0.424514459116621 0.440165052345316 0.439037908507724 0.427188078318388 0.427110362191545
Euro area EMU Prevalence of anemia among women of reproductive age (% of women ages 15-49) SH.ANM.ALLW.ZS 22.9795449089008 21.3803633741691 19.9492868254078 18.6944326384548 17.6134357744815 16.707821553972 15.9648335316387 15.3213833700264 14.8221990374851 14.379571436934 14.0776793450345 13.8508369713743 13.6694242199128 13.5917557473059 13.5468212405766 13.5409738120931 13.5539546277678 13.5760253409143 13.5880164309111 13.6722106946465 13.8191890775562 14.0618629769271 14.4295183582762 14.8998857351477 15.5544829362274 16.3301699448222 17.3258035386923
Euro area EMU 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
Euro area EMU School enrollment, tertiary (% gross) SE.TER.ENRR 19.5649108886719 19.5785503387451 20.6462707519531 21.9508094787598 22.7289295196533 23.7966709136963 25.0706100463867 25.5986194610596 26.1779499053955 25.8647899627686 26.1851692199707 26.3093109130859 26.6216697692871 26.7958793640137 27.3143291473389 28.1226596832275 28.7024192810059 29.0796604156494 29.9810600280762 31.3244400024414 32.6606407165527 34.550350189209 36.5656814575195 39.3980407714844 42.5807914733887 44.128589630127 45.8754386901855 48.0314598083496 49.6010818481445 50.3427810668945 51.7038917541504 53.484001159668 55.0336303710938 57.0598106384277 58.9603996276855 60.3601417541504 61.3306884765625 61.5310096740723 62.1396217346191 63.1610107421875 64.9973983764648 66.8943328857422 67.8238830566406 68.3978118896484 70.0208892822266 70.9184875488281 72.1601867675781 73.6764831542969 75.1554107666016 75.1554107666016
Euro area EMU Adolescents out of school, female (% of female lower secondary school age) SE.SEC.UNER.LO.FE.ZS 3.88004994392395 3.38161993026733 3.4872100353241 3.43167996406555 3.62777996063232 3.48820996284485 3.66002011299133 3.7253999710083 3.41872000694275 3.40413999557495 3.67506003379822 3.82891988754272 3.05446004867554 3.17604994773865 2.66359996795654 2.12108993530273 1.8340699672699 1.61154997348785 1.6429899930954 0.846050024032593 1.22960996627808 1.94483995437622 1.75400996208191 1.74580001831055 1.87876999378204 2.68499994277954 2.13871002197266 2.14385008811951 2.50367999076843 2.28534007072449 2.21864008903503 2.22613000869751 2.07645010948181 2.07251000404358
Euro area EMU School enrollment, secondary, private (% of total secondary) SE.SEC.PRIV.ZS 14.27796 14.21999 14.26515 14.42241 14.43757 14.56282 14.57765 14.73056 14.94973 15.21939 15.47049 15.74389 16.03508 16.19016 16.07986 16.30229 16.38643 16.60021 16.69979 16.86317 16.92194 16.95802
Euro area EMU Secondary education, duration (years) SE.SEC.DURS 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
Euro area EMU Children out of school, primary, male SE.PRM.UNER.MA 589929 595958 598890 597573 510453 467035 424709 404031 394471 378656 364374 373332 391151 458753 467157 451889 361785 328041 308517 293424 301441 314381 351923 331496 319556 270979 198881 183895 53844 89252 93032 111740 186301 182367 174982 92003 82647 66637 81170 95050 90550 76361 98433 111777 142989 118133 106607 118910 135071 134552
Euro area EMU Persistence to last grade of primary, male (% of cohort) SE.PRM.PRSL.MA.ZS 91.02207 90.96556 91.30613 91.51892 91.57158 91.88906 92.16401 92.64023 92.55749 92.32082 92.50818 93.15938 92.42632 93.05918 93.79469 94.01442 92.81347 92.5138 93.42126 94.05252 94.19751 94.2315 94.06002 94.26674 94.35421 94.5466 94.66592 94.71262 94.76284 94.71887 94.78375 94.94408 95.07 95.55593 95.6937 95.32038 95.21724 94.86313 94.88322 94.41796 95.03964 94.80327 94.47604 94.71175 95.00624 95.39487 95.66993 95.59348 95.58404
Euro area EMU Gross intake ratio in first grade of primary education, male (% of relevant age group) SE.PRM.GINT.MA.ZS 107.102 107.1048 102.3588 100.7712 101.3071 101.106 101.8983 101.0131 101.7953 101.4085 100.5137 100.1914 99.16835 98.81099 99.10857 100.2918 100.6591 101.4827 101.2578 100.6969 98.83575 98.84667 98.9785 99.12582 99.70249 102.206 102.0377 102.2333 101.7635 101.1055 100.5643 99.35282 98.22813 99.70138 102.023 101.0036 101.7049 102.0982 100.2767 99.8511 100.1926 100.0622 99.80565 99.10269 98.34104 99.17844 98.31785 98.21699 98.2791
Euro area EMU Trained teachers in preprimary education (% of total teachers) SE.PRE.TCAQ.ZS
Euro area EMU Literacy rate, youth total (% of people ages 15-24) SE.ADT.1524.LT.ZS
Euro area EMU Coverage of social safety net programs in 2nd quintile (% of population) per_sa_allsa.cov_q2_tot
Euro area EMU PPP conversion factor, private consumption (LCU per international $) PA.NUS.PRVT.PP
Euro area EMU Gross savings (% of GNI) NY.GNS.ICTR.GN.ZS 23.2450093562841 23.4166213467324 23.1676319922105 23.5588437754747 23.3666095837242 22.4049890390055 20.7853793317701 20.4801602936192 20.719215659433 21.2292994764259 21.346377421186 22.2472790663417 21.8637066680898 22.8352030406424 23.1889279363073 23.4435883982259 22.6773014740132 22.0420820106566 21.6367810392672 21.890876441339 22.879168370574 22.5664436475838 23.0801918075979 23.3817740374991 23.1924659107974 23.0792739129105 23.0246414227067 22.9520545859021 22.4273543592972 23.2029576743289 23.0895605519751 23.7492580753635 24.4335288551435 23.2573449848667 20.9757030148976 21.4396910924233 22.2815003581053 22.0800659136736 22.263051179356 22.8620013915398 23.7465915589024 24.1472853454545 24.6760936243327 24.9611379442372 25.151799414044
Euro area EMU GNI (current LCU) NY.GNP.MKTP.CN
Euro area EMU Natural gas rents (% of GDP) NY.GDP.NGAS.RT.ZS 0.00694771231652641 0.0107092469565373 0.0142240503829501 0.0158553845883498 0.0737761021707139 0.114985045260323 0.117087310245046 0.098471660893575 0.0914439910344669 0.158807707688813 0.191156909852043 0.133877468424612 0.0426810428458843 0.140385329756757 0.147954644307766 0.142949336699668 0.0829420719908289 0.0390827760012541 0.0332716381521437 0.0372635261181249 0.0461819975706636 0.0398937271722751 0.0258894977079572 0.0324786569715897 0.0250696595729088 0.0222155632846354 0.0301941920958127 0.0304180255362653 0.0116820315778172 0.00870108735903119 0.0480282261573245 0.0899056828231623 0.063246440170887 0.0537596024661063 0.0451935744741717 0.0414981538169318 0.0739130008197224 0.0665658287544105 0.0982364291872101 0.0858711389096535 0.075138015613599 0.0990811497163048 0.110224485908154 0.103579074374127 0.0615625318507518 0.0390580574107194 0.0237211046991719 0.031073938997926 0.0368483992242942
Euro area EMU Discrepancy in expenditure estimate of GDP (current LCU) NY.GDP.DISC.CN
Euro area EMU Adjusted net national income (current US$) NY.ADJ.NNTY.CD 566949488770.073 640706228649.041 772855051093.275 1003552543235.81 1126932444328.11 1298289306497.55 1357493860493.99 1540995928724.3 1890959627765.15 2287603112854.25 2540884071059.5 2185044030928.86 2106745961110.9 2052867741693.5 1971017190857.76 2026676444814.92 2856950305221.03 3539784254716.27 3904065563331.06 3986827143399.12 5006207383817.48 5182696730350.23 5707816905127.2 5204977035734.78 5486977942602.37 6345741731623.99 6430904860650.6 5883271641746.39 6041940371154.66 6019844242557.96 5468503747866.19 5538139990032.15 5989825796759.44 7395172032875.29 8527242414307.62 8830294372123.97 9412975442205.3 10792409844214.9 11703403257907.8 10666417724651.5 10468706412624.3 11304028721265.6 10458482749292.1 10915872771606.2 11162276955475.6 9618514985180.74 9897022062845.65 10481603860171.1 11297749202174
Euro area EMU Adjusted savings: carbon dioxide damage (current US$) NY.ADJ.DCO2.CD
Euro area EMU Industry (including construction), value added (% of GDP) NV.IND.TOTL.ZS 28.6146643086285 27.9618797060335 26.9082490412395 26.5346888503563 26.4766765670463 25.9214751528572 25.6964760089028 25.5648627720844 25.1394038867548 25.1425338298322 24.8769485884109 24.4733573300324 24.1204385255852 24.0283200980187 23.8365282415548 24.0159076109353 23.9992672470207 23.629736477145 22.1848481695821 22.3791373702905 22.3358500304912 22.1366305888185 21.8316381837416 21.6877906224135 21.9048763509982 21.9773998377885 21.9386624908218 21.9173396593019 21.7422623270019
Euro area EMU Agriculture, forestry, and fishing, value added (constant LCU) NV.AGR.TOTL.KN
Euro area EMU Imports of goods and services (current US$) NE.IMP.GNFS.CD 125482475313.274 140487258887.225 170217443549.387 234905177996.241 318691340958.016 335103297912.381 379175327442.239 429093597433.874 503147354745.797 655272190398.386 795562941398.505 714076543698.45 680589308499.163 645782614523.01 646464299416.804 668171918483.423 808905589603.364 997322286056.753 1121276568824.88 1212874355364.34 1497318531693.25 1548842471456.85 1668300013219.91 1450334763434.55 1614365465009.67 1971716369072.53 2004606658611.74 1965199837204.08 2083918868708.09 2137987941553.37 2225316395357.91 2218948322140.03 2298302791041.73 2797968362823.62 3344369459804.53 3672731713371.57 4165906211892.72 4913570015456.28 5489367538324.56 4315603598333.8 4754920461281.72 5507166213111.65 5155322502374.92 5327956598403.15 5501606063651.21 4857869128642.26 4926111386439.91 5441507409546.32 6003226275660.36 5922716649570.4
Euro area EMU Gross fixed capital formation, private sector (% of GDP) NE.GDI.FPRV.ZS
Euro area EMU Final consumption expenditure (annual % growth) NE.CON.TOTL.KD.ZG 5.18386668628514 5.05930225471461 5.22477881184867 2.91976580397805 2.88506308405574 4.52724848683918 3.29784827524222 3.46200707621172 3.77992237922382 2.587652627411 1.295328326619 1.06301663243129 1.162803689938 1.32624274237878 2.22358026706723 3.17840506799307 3.42415072430282 3.23616094804481 2.96934944862247 3.07728420813613 2.81781876313403 2.23670535951001 -0.231033711246852 1.4661767049881 1.54058025916657 2.01413741753605 1.78668201794892 2.93062028778199 2.96742960197247 2.82812008698812 2.01390126969471 1.13873314770785 1.37663444818918 1.64917641111451 1.88212709262142 2.06331321106548 1.935270613189 0.880529621690783 -0.169928786180606 0.852943272553205 0.0351498690112777 -0.849542967020383 -0.404267772360228 0.863070187663624 1.71047000316213 1.98536723203104 1.59534915618531 1.3877014639186 1.4529419298909
Euro area EMU General government final consumption expenditure (constant LCU) NE.CON.GOVT.KN
Euro area EMU Logistics performance index: Competence and quality of logistics services (1=low to 5=high) LP.LPI.LOGS.XQ 3.47222222222222 3.44736842105263 3.47315789473684 3.55677931578947 3.56080889473684 3.51157894736842
Euro area EMU Transport services (% of commercial service exports) TX.VAL.TRAN.ZS.WT 29.3613775082301 36.4002456541095 35.655048110929 33.6829933336596 35.2692561887133 34.3967733227924 34.746107528571 33.4641505755667 32.8788842112957 33.502693855583 32.9042944873741 31.2557277170288 30.4277972710673 31.7826985697424 31.167203939605 29.9707441600664 27.6218852666626 26.8069166917268 26.9585029568852 26.909532742679 26.2643301309318 26.1769729651478 25.8551629384044 25.4023749636056 24.8065805654366 24.1351961853636 24.2644918204689 23.2754136704304 21.6596083269773 21.9104158845484 21.6457723746767 22.183606018675 23.0685248135366 23.298131554068 20.9074756855905 22.3423532987025 21.7359283533123 21.0273975573142 19.7207881266038 18.8910872219082 18.7051029836282 17.9947260210604 18.3454362768227 18.6650930888424 18.4693238709009
Euro area EMU Merchandise exports to high-income economies (% of total merchandise exports) TX.VAL.MRCH.HI.ZS 66.5213110094589 68.4421546474535 70.9829645717188 71.8784778122333 72.1878083216077 72.3594814251408 72.0776004455897 72.1138601991305 72.8806417942777 73.3074675291738 73.6912689686797 74.0394684070636 74.8715789471626 74.5967136086268 71.9495453319365 68.4093896265796 70.166656317058 70.2333366040296 70.9539169424823 72.4754598981596 71.257402084208 69.460902539835 71.3673664027585 72.5918057288093 74.3984102817109 75.2144602700934 77.4206658003042 78.9284392923048 79.385632830211 79.6417444915204 79.2879972523388 79.7750532865038 79.9948527327397 79.6493529441261 80.5060359929825 80.7481466784934 80.5166533417385 81.207066358381 82.6441172859199 88.8054492815962 88.4234956988128 88.035014018242 87.802548034702 87.6568736027712 86.7879474702847 86.083797538571 85.5434368005946 84.8255044526492 83.6234296221206 83.2050406032732 82.3847063197835 81.7248325192799 80.685231913041 80.5400880159521 81.3125255022264 82.5770399719728 82.9369674616656 82.2902711767244 82.4714678210613 82.6336518642793
Euro area EMU Commercial service imports (current US$) TM.VAL.SERV.CD.WT 64234746760.7897 72276845777.4912 83615311128.5426 101806070410.861 126225550419.904 156626386339.338 148563606110.882 141386618940.827 131864022938.721 128457483432.909 133914571861.67 171490473802.07 211911558801.377 233981914487.556 249389165891.011 325230577766.013 336886123096.465 398087817498.386 372847720422.786 382518280705.852 446060535977.5 454864455938.022 444894114250.017 472621692635.293 509084663419.627 502831298178.332 521126839787.791 551623154121.125 650972605570.158 781642434926.831 842358083983.258 921451811028.402 1090546796487.73 1235739443125.2 1097150869317.34 1127610489780.77 1246097571729.09 1217508696274.93 1315385423157.1 1433837336434.25 1382453588619.06 1420661698585 1539947493331.19 1682478731986.13 1768256952052.23
Euro area EMU Ores and metals imports (% of merchandise imports) TM.VAL.MMTL.ZS.UN 9.02491371255881 7.46466147085857 8.60013682599633 9.13528858461639 9.40150254199281 8.85312045264122 9.59637515543576 9.42082365959121 8.98992696621326 7.27865554162889 6.28631900959929 6.62159822659437 7.27499164703947 5.68828213371066 5.75391253385224 5.58990754474521 4.96028786369287 5.37342907370664 5.56370944244157 4.65763642729861 4.41873651179535 4.59507771937554 4.90421788107773 4.72944344717198 4.22102370953494 3.82600401530759 4.39879910086682 4.79458057890217 3.9493583988607 3.47389090652349 3.32168557545734 3.19291467337949 3.57578915125412 3.90489610788833 3.31963359680232 3.54647201037719 3.35830514894143 3.0956852420284 3.32495510146249 3.13570972125418 3.0014870863976 2.91304088104877 3.26518379230929 3.44036727746353 4.49640580641424 4.62758255817486 4.02824628284461 2.97328634720428 4.0543781037696 4.36966852388145 3.94630614644263 3.6655574081008 3.66424749717338 3.49841418440666 3.26270085252354 3.59129674223607 3.68818357296538 3.49465012010171
Euro area EMU Tariff rate, most favored nation, weighted mean, all products (%) TM.TAX.MRCH.WM.FN.ZS
Euro area EMU Import volume index (2000 = 100) TM.QTY.MRCH.XD.WD
Euro area EMU Rural population (% of total population) SP.RUR.TOTL.ZS 37.9097004214274 37.4336778685064 36.9449121014695 36.3886305564382 35.8335663914291 35.2803044245621 34.7290452889577 34.1849641586871 33.6884324291572 33.2682149737876 32.8583312707511 32.4684800244231 32.13458181571 31.822527327282 31.5218701921855 31.2684654444559 31.0461361455863 30.8032303471921 30.5589707312749 30.3166831488845 30.0766814578378 29.8381005423215 29.6824136751521 29.5731815821885 29.5046816753565 29.4518105360349 29.3624312034239 29.1935957514298 29.0344572170219 28.9269499030931 28.7799798192869 28.6169267011558 28.4679917305705 28.303801511416 28.1214249278177 27.9436661150339 27.7677248876178 27.5941045031807 27.422482584907 27.2462847367944 27.0578336208883 26.8527549073134 26.6092212845033 26.3586138303766 26.1131204633583 25.8700297857143 25.6321680492455 25.4033718250256 25.176851974827 24.9491093744682 24.7183018169972 24.490977120374 24.2763065365304 24.0708783421941 23.8719002095099 23.6607383322604 23.4470307182688 23.2300887806269 23.0082871485951 22.7808361161855
Euro area EMU Population growth (annual %) SP.POP.GROW 0.911437082980825 0.930029429928993 0.942327745102546 0.919845784226567 0.904033791385189 0.83489105351795 0.716451719090074 0.670813648320575 0.67363659079507 0.545949835991408 0.551465639809322 0.675326008531954 0.637263972812747 0.570833560250293 0.517766988007523 0.448763575327348 0.400442353997832 0.405765820138242 0.411699779765144 0.431305506604843 0.383509424035793 0.273981806115373 0.201612404784839 0.167868108682526 0.18951675113496 0.249416983538666 0.276464334776122 0.334348558656146 0.428216680669749 0.45991707810586 0.464414631160224 0.46494504874363 0.4096742325262 0.290912227332129 0.25750775810755 0.259021139218717 0.238597423360901 0.21088445357509 0.258243345750998 0.328450827305346 0.385011345603999 0.489062904193887 0.543193574969408 0.551279035754987 0.518157659958092 0.468264632745303 0.520476696453812 0.489879358384783 0.324931835633095 0.235742754618769 -0.217710182973789 0.220485298173202 0.339993378256366 0.343937661606049 0.303182433163855 0.292608836862101 0.200258602404475 0.19918860217669 0.220727543247932
Euro area EMU Population ages 65 and above, female SP.POP.65UP.FE.IN 16131673 16541819 16961585 17394076 17834676 18291111 18758588 19212859 19671511 20149089 20609134 21073765 21552539 22018032 22473969 22922333 23430223 23944985 24428926 24805624 25038221 25131138 25030807 24845322 24732843 24797181 25060201 25484214 26022921 26596149 27130695 27641003 28111070 28535334 28914475 29288840 29712313 30106512 30487378 30901128 31367946 31798460 32285855 32799685 33294821 33742679 34167124 34557276 34925219 35283987 35701543 35960261 36474677 37107939 37770548 38412959 38938721 39416930 39893379 40407448
Euro area EMU Population ages 30-34, female (% of female population) SP.POP.3034.FE.5Y 6.99387302608349 6.87905368330327 6.79125380248791 6.72847020712826 6.68203170007809 6.64541954668362 6.62950900339288 6.64353938839806 6.66401199450993 6.6555017990971 6.59708063496728 6.51079574191629 6.37453317743903 6.22614047306809 6.12607367284919 6.10923432987122 6.16334271440516 6.29581561283031 6.4703222547111 6.62742998736008 6.73063842126418 6.79350375567523 6.81288132101679 6.80874648557468 6.8143421657433 6.84894400229833 6.90230792954218 6.97506461999365 7.06317344652756 7.16058197338122 7.26274088095499 7.37500219646273 7.49629185786114 7.614269007163 7.71085926715982 7.7743709224929 7.80022233383688 7.79170454584254 7.74985593350492 7.67908553730252 7.58404034939841 7.48003166711816 7.35803347172497 7.22623283959831 7.09619479844983 6.97635224472426 6.85143014888989 6.74231425383779 6.64942040968637 6.57154152272837 6.50863507207648 6.44715171409785 6.3963812677536 6.35081772291355 6.30100148002358 6.24204023078784 6.18145872673241 6.11421598730154 6.04287491869624 5.97016285377776
Euro area EMU Population ages 05-09, female (% of female population) SP.POP.0509.FE.5Y 7.77822411467633 7.74817972741388 7.74957495659529 7.78355794865264 7.83655700598794 7.88524463080128 7.93476913744257 7.99810853175674 8.06611356830764 8.12178867103647 8.14686746927135 8.14009543410818 8.08973814791748 7.99655224861743 7.87333478479947 7.74112406904495 7.60464805955859 7.44171202782135 7.25677592258342 7.05885272840814 6.86073641783995 6.68452762004121 6.52454279163147 6.38325467620905 6.25739020615398 6.13839443110955 6.03566246604866 5.95447319917102 5.89312360672172 5.84306990287302 5.79164645369602 5.74674677095512 5.69758873965849 5.64215515343563 5.58192990846967 5.52021758276162 5.45636351321927 5.38421095987854 5.30477515015301 5.22319704069532 5.14691832177459 5.08540795415345 5.03084906753497 4.98296467266565 4.94127146700492 4.90431995405239 4.88579117372254 4.87207589216983 4.86048700366143 4.84915896829337 4.83534572235774 4.84385607343218 4.85776552644742 4.87524827306018 4.88876413329665 4.88759200592342 4.88537948883233 4.8695355877047 4.83978754788952 4.80221117194283
Euro area EMU Fertility rate, total (births per woman) SP.DYN.TFRT.IN 2.60681915817474 2.63677346256617 2.64243650875131 2.68181900235062 2.73535163507005 2.68143705159827 2.66316834348827 2.619847198023 2.55143110849168 2.48905958139359 2.39322028810929 2.34450496581916 2.23583702525469 2.13189492127112 2.09987915951405 2.02353565601911 1.98276329619145 1.90845113515463 1.85295327199647 1.80111657076101 1.7743946190755 1.72622597954202 1.6980988471398 1.63929738961482 1.60197931966526 1.59098336952605 1.57978819843077 1.55821396142477 1.56258704410941 1.52980268598837 1.53425067118278 1.48890146087863 1.46776959627832 1.43514512874284 1.39782985074573 1.38308285062157 1.39621899331934 1.41678385362718 1.41767888916646 1.43133894315695 1.47089341004761 1.45674273759661 1.4594467567483 1.47376791199482 1.49632002833901 1.50034140705117 1.52366546790424 1.5407241961451 1.58115436258172 1.56445020095759 1.58036766735378 1.5620923781408 1.55440971782965 1.53045745553952 1.55137877880459 1.54977660219913 1.56899980444345 1.54547658282839 1.52566270151721
Euro area EMU Consumption of iodized salt (% of households) SN.ITK.SALT.ZS
Euro area EMU Unemployment, female (% of female labor force) (national estimate) SL.UEM.TOTL.FE.NE.ZS 11.2920611212656 11.1024920533584 11.7834735495851 12.9898027052499 14.0839980239341 13.8758266865538 13.9771906488915 13.9299831098812 13.5232835800954 12.6374778504179 11.4456628954102 9.92096028305058 9.99768305270312 10.136567052273 10.3830957566336 10.1271068353586 9.43166209326031 8.46896755654526 8.27560293362878 9.71258186019106 10.2532258719353 10.3600072237294 11.4543992726673 12.0553420872398 11.786649039021 11.0347184813653 10.3730064037306 9.44889547297672 8.5664709628462 7.9333206645401
Euro area EMU Unemployment, youth male (% of male labor force ages 15-24) (national estimate) SL.UEM.1524.MA.NE.ZS 19.6744385621548 21.5804424507916 21.5347019002426 20.7911654383033 19.947311376904 18.6609958465509 16.1151280883862 14.9769305233877 15.5526841569362 16.5807859452626 21.0139147773619 23.3785810190689 22.0470438218043 22.7995459057453 22.5219565738218 21.0161631462896 19.688329026222 17.4276206018352 15.7665029584767 16.2512954774109 17.0996900269867 17.8806531606449 17.9998994587899 16.5711493068758 15.1162086709992 16.1334640237312 22.0153415369088 22.8952105052175 23.2275822363728 26.1056031141565 27.3321236964219 27.0350792460496 25.6003583208012 24.020306021688 21.7324616529771 19.7028754251954 18.2369708789648
Euro area EMU Ratio of female to male labor force participation rate (%) (national estimate) SL.TLF.CACT.FM.NE.ZS 61.2021223634398 63.5129494334036 63.8638936926951 64.8597577555893 65.7690213372478 66.5664003881465 67.2888997690689 67.9387360174782 68.5458774240095 69.5760027466125 70.3072822873504 70.6658434909773 71.4955750987891 72.580127450014 73.299604110426 74.0583102936793 74.8891580621332 75.5816774481954 76.2289070964828 77.217132062039 77.8684226172742 78.5133971266246 79.1673743201797 79.8057867745317 80.2272593427094 80.4772691351071 80.9368367080983 81.1259550065934 81.270574701755 81.6993924014325
Euro area EMU Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) SL.TLF.ACTI.1524.FE.ZS 47.9023303419243 46.557006691832 44.6183678715041 42.8413111510661 41.7715438550055 40.9083752364546 39.8054237431706 39.5592583592403 39.9197144515382 40.5968509617423 40.7359979787147 39.8798773924497 39.7840178053303 39.6992230779502 39.4939173130064 40.1147649268059 40.2942041126353 40.8022417866328 40.9342109678299 40.3265405766396 39.2630801611998 38.9966207697585 38.4327199422488 38.1600020746092 37.4364953600266 37.328128780689 37.4830215228782 37.6796587034654 37.6470072774311 37.7493119384832
Euro area EMU Children in employment, female (% of female children ages 7-14) SL.TLF.0714.FE.ZS
Euro area EMU GDP per person employed (constant 2017 PPP $) SL.GDP.PCAP.EM.KD 80738.9074057597 82677.2189986447 83676.8142612966 86277.3177502253 87929.8113428758 89050.6898518393 90859.7534018248 92368.4451281864 93290.0481806243 95088.3634321459 95827.3069448143 95741.6193018147 95465.9799426363 97070.3951839358 97317.7007139643 98803.3847125843 99836.0299064024 99363.5272026467 96720.3961920233 99133.2477567094 101049.609891216 100774.51063005 100957.914990024 101807.552595653 102741.421525654 103175.151053879 104315.84452264 104774.642624157 104983.642710259
Euro area EMU Employment to population ratio, 15+, male (%) (national estimate) SL.EMP.TOTL.SP.MA.NE.ZS 65.4943018028382 65.5487279700053 64.7173181960235 63.1899260781405 63.0611943815005 63.1092984022167 63.3974572599941 64.0080376993473 63.6544438967054 62.4913033145916 60.7101446969084 59.5846169450876 59.3766182276639 58.942588838924 58.7369739166044 59.2164799576514 59.6519839623989 60.1134909440693 60.3386540814066 60.1723193671613 59.9027088122297 59.4501663259149 59.7835132775476 60.2554861191207 60.8013554641652 60.6808229615903 58.6156745947292 57.9606595935845 57.7649149089462 56.9574366608266 56.2329871827707 56.2158949712438 56.5316671936243 57.2271330531736 57.8735748061013 58.4489773647282 58.8400166920753
Euro area EMU Employment in agriculture (% of total employment) (modeled ILO estimate) SL.AGR.EMPL.ZS 7.31639610912367 7.12039915497105 6.79937369574892 6.63198411959961 6.34275287934015 6.13800402931944 6.09445832202297 5.80941393085922 5.55477559339965 5.28905059608436 5.14796562405958 5.00916006784694 4.92057364692907 4.57094851446603 4.47872943587653 4.36893321192168 4.14771061691076 3.6648722741507 3.68745705686061 3.6610595092284 3.53618448286982 3.51138228193533 3.44418021285745 3.37280962265495 3.25906119238545 3.22269673108266 3.12302972707361 3.0294821396592 2.97871608585768
Euro area EMU Multidimensional poverty headcount ratio, male (% of male population) SI.POV.MDIM.MA
Euro area EMU Income share held by highest 20% SI.DST.05TH.20
Euro area EMU External health expenditure per capita (current US$) SH.XPD.EHEX.PC.CD 0.0214967308172561 0.0231492226310083 0.0308997000319501 0.0409500123396639 0.061084338351609 0.058476897816223 0.0607304925443146 0.0768316951751452 0.0829088402956423 0.115807625459869 0.179831762346953 0.308453562178169 0.346372302340525 0.74696718061926 0.979742255275716 0.999872579571831 0.397906022312381 0.396708232045525 0.426824485639433
Euro area EMU 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
Euro area EMU Suicide mortality rate, female (per 100,000 female population) SH.STA.SUIC.FE.P5 7.99726096423595 7.43440738482165 7.04556319982926 7.41364150207072 7.4077539077265
Euro area EMU People practicing open defecation, urban (% of urban population) SH.STA.ODFC.UR.ZS 0.0150597528517734 0.0150634104864694 0.0150601972073571 0.0150347480648591 0.0150156976778687 0 0 0 0 0 0 0 0 0 0 0 0 0
Euro area EMU People using at least basic sanitation services, urban (% of urban population) SH.STA.BASS.UR.ZS 98.8452683815555 98.8510684101014 98.8593522312555 98.8669896520011 98.8735577831484 98.8798934799504 98.8763995015787 98.8805099167308 98.8837284160921 98.8870373318495 98.89076926602 98.8929224891855 98.896043869386 98.8984759079964 98.9130567917664 98.9174598938921 98.9218568786897 98.9259531502128
Euro area EMU Number of maternal deaths SH.MMR.DTHS 250 240 240 240 230 230 220 220 220 210 210 200 190 190 180 180 170 180
Euro area EMU Incidence of HIV, all (per 1,000 uninfected population) SH.HIV.INCD.TL.P3
Euro area EMU Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) SH.DYN.NCOM.ZS 15.1580542365681 13.4007539092559 12.1740733423881 11.3589992352073 11.097770122146
Euro area EMU Number of infant deaths SH.DTH.IMRT 28013 26496 24937 23320 21711 20226 18952 17911 17071 16387 15810 15297 14823 14376 13963 13577 13225 12898 12578 12255 11926 11599 11277 10987 10737 10536 10377 10246 10122 9982
Euro area EMU Women who believe a husband is justified in beating his wife when she neglects the children (%) SG.VAW.NEGL.ZS
Euro area EMU Government expenditure per student, secondary (% of GDP per capita) SE.XPD.SECO.PC.ZS 22.27547 24.93597 23.045015 24.30857 24.62165 24.32286 24.89156 24.221935 24.58835 23.70022 26.29943 28.70418 28.074085 26.962405 25.94711 24.52636 24.436335 23.262015 23.031085
Euro area EMU Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) SE.TER.CUAT.MS.MA.ZS
Euro area EMU Trained teachers in upper secondary education, male (% of male teachers) SE.SEC.TCAQ.UP.MA.ZS
Euro area EMU School enrollment, secondary (% gross) SE.SEC.ENRR 77.59813 77.65725 78.8499 80.74353 82.46419 83.05073 84.06558 85.18876 85.71082 86.28726 86.80277 86.86428 87.36271 88.03776 88.57332 89.39582 91.4011 92.40339 92.83746 93.48794 94.00119 95.57855 97.76992 101.5164 105.2476 105.7941 105.9584 105.3838 102.1559 101.6873 102.5541 103.7835 104.508 104.9271 104.282 106.1852 106.6956 106.4611 106.8814 106.9016 108.0985 108.5557 108.1183 108.6573 108.076 108.2292 108.1946 108.3914 108.5652 108.6211
Euro area EMU Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.PO.FE.ZS
Euro area EMU Adjusted net enrollment rate, primary (% of primary school age children) SE.PRM.TENR 98.29837 98.0822 98.05837 98.17238 97.96402 97.79556 97.71083 98.38689 98.44596 98.6094 98.57118 98.47706 98.41267 98.5297 98.6214 98.56774 98.06531 98.19395 98.14906 97.97185 97.30733
Euro area EMU Over-age students, primary (% of enrollment) SE.PRM.OENR.ZS
Euro area EMU Primary education, pupils (% female) SE.PRM.ENRL.FE.ZS 48.84092 48.84047 48.87391 49.18056 48.76395 48.77359 49.1526 48.6923 48.69151 48.60402 48.66644 48.66084 48.67517 48.67457 48.66428 48.57648 48.54249 48.6166 48.49575 48.55651 48.61794 48.64298 48.61586 48.62538 48.54552 48.39593 48.39049 48.4635 48.43088 48.43891 48.48705 48.48979 48.41775 48.43839 48.46568 48.43621 48.43216 48.43982 48.43568 48.48967 48.51815 48.55587 48.59042 48.61978 48.6179 48.6204 48.63118 48.52864 48.5298
Euro area EMU Pupil-teacher ratio, preprimary SE.PRE.ENRL.TC.ZS 21.84925 21.87628 21.61258 22.00216 21.96875 21.96517 21.89967 21.43726 21.29302 20.53464 20.14684 19.77192 19.5513 19.35543 19.15044 18.86942 18.73987 18.55618 18.29652 18.03836 17.92511 17.7346 17.82194 17.74583 17.49111 17.60494 17.65655 17.36301 16.77073 16.10815 15.88692 15.64473 15.36163 13.98853 14.14157 14.14158 13.75603 13.44629 13.18345 13.17141 13.11672 13.08211 12.96264 12.68512 12.59773 12.33976 12.23493 12.04973 11.98251
Euro area EMU Coverage of social insurance programs in 4th quintile (% of population) per_si_allsi.cov_q4_tot
Euro area EMU Coverage of unemployment benefits and ALMP in 4th quintile (% of population) per_lm_alllm.cov_q4_tot
Euro area EMU Net secondary income (Net current transfers from abroad) (constant LCU) NY.TRF.NCTR.KN
Euro area EMU GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 2.60705410632116 4.06280651743285 5.4709641220757 2.78910216204213 -1.6172630704303 4.53280876039595 2.56176421485172 2.62268380408324 3.53917919115459 1.73312768510159 -0.167561860554969 0.32573282582284 1.23913744506325 2.26931123972669 2.24229464669735 2.39455781984603 2.54079152099176 4.06461802116679 3.63417383992414 2.97665057395395 1.98641979380622 0.839607575786985 -0.965921423095622 1.72564972797973 2.29962271007335 1.60579452553402 2.44646697402915 2.55075265110094 2.9279173339809 3.4720288622127 1.49673756972675 0.0825161503190941 0.181416581613263 2.18346926557422 1.18749045454581 3.07972036665201 2.154867468304 -0.481279092133292 -4.18523103633991 1.96109113072156 2.0505268700296 -0.961137934948169 -0.540407244820429 0.869990623113921 1.37461745922971 1.82363603533749 2.48627592338882 1.77808918272895 1.10331774115728
Euro area EMU Gross domestic savings (current US$) NY.GDS.TOTL.CD 179564868397.317 197139884849.513 235868355546.69 309517639388.685 343523582399.023 357477233838.422 376021116137.22 421347084605.479 522532236123.738 624963064702.647 669500395994.604 546793869822.486 527118110080.04 516270376621.8 508078021549.018 522105089446.537 764099457015.043 922130217015.456 1058066295452.53 1102805663105.2 1412877665370.13 1452721427234.25 1557004550892.63 1398185301771.28 1513011279351.77 1790369822651.29 1780548699593.3 1667164216479.08 1750464681071.76 1727264839928.09 1579338258276.33 1612791966656.46 1756369364820.17 2120714592270.55 2472160730809.95 2530644387970.43 2760256432022.22 3299160584990.94 3493584082167.42 2841817218503.07 2841379014193.2 3153035611907.54 2898946423099.72 3051209977098.43 3212357272375.47 2897656803419.59 3005005920666.45 3244262370374.84 3537629454572 3467392082801.5
Euro area EMU GDP: linked series (current LCU) NY.GDP.MKTP.CN.AD
Euro area EMU Exports as a capacity to import (constant LCU) NY.EXP.CAPM.KN
Euro area EMU Adjusted savings: particulate emission damage (current US$) NY.ADJ.DPEM.CD
Euro area EMU Services, value added (constant 2010 US$) NV.SRV.TOTL.KD 5630852324540.55 5753977759673.69 5811339409015.4 5941528071912.29 6105432566307.26 6249970484352.47 6435955872672.61 6656210137500.66 6854108435704.85 7117641449920.78 7314186401800.17 7415132304971.44 7472140518353.79 7636828850450.74 7788770268773.21 8038421129436.86 8307268815308.77 8439570215312.71 8245446674642.6 8349896284599.39 8503077644464.33 8487563277663.98 8506860638503.31 8611080304253.52 8744784183757.83 8885986743339.05 9097838848907.69 9276341330990.56 9436435664317.46
Euro area EMU Manufacturing, value added (% of GDP) NV.IND.MANF.ZS 19.9345517272616 19.171677986489 18.2413156513625 18.0265176161079 17.7436818911717 17.3731690031902 17.4492169334907 17.4863840203746 17.1398097225266 17.2772956465054 17.0121832437754 16.5540542845115 16.1374439137043 15.9481343335686 15.7030018905787 15.6567140662729 15.7040120484628 15.1106020103568 13.6803712995374 14.2832750248894 14.4891799331424 14.3022328939506 14.2079489721759 14.3270400218257 14.7439748878284 14.8453148083464 14.7816203454423 14.6301128666166 14.2747458766384
Euro area EMU Trade (% of GDP) NE.TRD.GNFS.ZS 38.8260535665876 38.5769555117752 38.8106125503974 40.9153292331339 47.5967443458874 43.8050882199112 46.3833136039471 46.5123996846576 45.3371327924607 48.1850992595029 50.6038103166159 53.1988538576937 52.8911341018075 52.6081557160308 55.5977953222066 56.0205301154964 49.3211152944472 48.7725476132988 49.937003041181 52.7199727107603 52.296782227103 52.3997525956078 51.4846287160618 49.9843075917092 52.5864735314944 55.5869919420633 56.2216954227904 60.2145962480377 61.4623398464657 62.3384948679449 70.041008187919 69.2132636854201 66.8275804155542 65.4713576127269 68.3141131588435 71.467072975308 75.7000010111239 77.5440513951123 78.6161953892744 68.302010179441 76.2740814015609 81.6667229262318 83.3165224908823 82.8512998412731 83.5641489593212 84.9188590222104 83.6816441449887 86.9347142825104 88.3746477522363 88.1867506211613
Euro area EMU Gross capital formation (current US$) NE.GDI.TOTL.CD 191208543196.389 208770948160.103 247090114630.007 328005083494.827 371111027714.1 380362963470.495 413839704490.852 457336115066.652 546699907987.021 684623469023.857 786525049027.932 622822459807.541 587727361961.17 554010630369.728 530129228052.592 538915907987.395 753890349272.459 936345758233.806 1080572379098.85 1140546091416.7 1450113609247.52 1488890208142.86 1577807262503.03 1330933260428.96 1429192004614.22 1680111031156.39 1650504275801.46 1519778212814.83 1617153900950.41 1635364915106.62 1530560815609.1 1516402075723.79 1580366892668.61 1946383735955.54 2250742535426.7 2361589124532.27 2613479276875.04 3101319689041.79 3330210041342.03 2630103238158.23 2649055735573.81 2934882872660.12 2530252448800.99 2587830978382.15 2692670347818.9 2374413462839.97 2474153076081.77 2694501221581.04 2963275570427.19 2962748719093.41
Euro area EMU Exports of goods and services (current LCU) NE.EXP.GNFS.CN
Euro area EMU Liner shipping connectivity index (maximum value in 2004 = 100) IS.SHP.GCNW.XQ
Euro area EMU CPIA public sector management and institutions cluster average (1=low to 6=high) IQ.CPA.PUBS.XQ
Euro area EMU Trademark applications, total IP.TMK.TOTL 148213 134273 136518 130553 143637 210809 224544 272158 315633 337978 340132 316584 311896 355132 357452 384503 342256 360446 410317 437793 501398 420968 383669 380660 374484 382903 374347 391862 371853 330551 348760 341317 323339 326532 337774 342287 343822 351384 359720 359419
Euro area EMU Investment in ICT with private participation (current US$) IE.PPI.ICTI.CD
Euro area EMU Time required to start a business, female (days) IC.REG.DURS.FE 49.78125 41.65625 30.28125 26.5 22.9705882352941 18.0833333333333 17.1944444444444 16 15.5526315789474 15.1578947368421 14.4210526315789 12.3947368421053 11.4210526315789 10.8947368421053 10.3684210526316 10.4473684210526 9.81578947368421
Euro area EMU Firms experiencing losses due to theft and vandalism (% of firms) IC.FRM.THEV.ZS 10.98
Euro area EMU Time to export, border compliance (hours) IC.EXP.TMBC 10.3684210526316 10.3684210526316 10.3684210526316 10.3684210526316 10.2789473684211 10.2789473684211
Euro area EMU Human capital index (HCI), male, upper bound (scale 0-1) HD.HCI.OVRL.UB.MA
Euro area EMU Interest payments (% of expense) GC.XPN.INTP.ZS 3.03234501347709 2.35843930007608 2.43984867781629 3.14347742109784 3.05256779275867 3.78303305413535 4.01140065098716 4.40291449566717 4.58174607316182 4.52664148517238 5.90658442492536 6.9549104385423 8.35990692062395 9.57917539978454 8.92976347788895 9.04561068717514 9.10212593413424 9.46361789470114 8.88182564908398 9.51805258003464 9.33036299305468 9.27582438731255 7.51815374342709 7.95887553689266 8.55606128073416 8.17459571611047 7.48920433223461 7.52777476429417 6.99190866631558 6.0528061988955 5.7582656664441 5.72255470153215 5.19946167942116 4.62361517498893 4.56991835055877 4.75748933052401 4.54552875799005 4.60680701018305 5.17559839397277 5.48705535835748 5.09111850307549 5.20708333641009 5.07863534805558 4.62817357015451 4.22501411298778 3.65337395204537 3.26178081203074
Euro area EMU Customs and other import duties (% of tax revenue) GC.TAX.IMPT.ZS
Euro area EMU Net investment in nonfinancial assets (current LCU) GC.NFN.TOTL.CN
Euro area EMU Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) FX.OWN.TOTL.40.ZS 90.4125518798828 92.0867767333984 93.7997360229492
Euro area EMU Broad money (current LCU) FM.LBL.BMNY.CN
Euro area EMU Bank capital to assets ratio (%) FB.BNK.CAPA.ZS
Euro area EMU Capture fisheries production (metric tons) ER.FSH.CAPT.MT 3518587 3646538 3631936 3819608.1 4048204 4225091 4277557 4505673 4649384 4443630 4474947 4349672 4295475 4482674 4473543 4305408 4172042 3854528 3842487.7 3630522.7 3774261.4 3962554.2 4049768.1 4007216.171 4105347 4106895.5 4143919.388 4133269.6 5517746.8 5405681.2 4968893 4894614.6 4216901.8 4269249.4 4166952.3 4363834.9 4205408.6 4148801.2 4195584.6 4084592.9 3953546.1 4107634.8 3848883.5 3840709.3 3793622.2 3812309.5 3839281.569 3677312.554 3541774.214 3456034.659 3577552.4 3413884.309 3152188.188 3282472.216 3521519.2 3300277.992 3362227.319
Euro area EMU CO2 emissions from transport (% of total fuel combustion) EN.CO2.TRAN.ZS 12.6914369423359 13.1314270977725 13.0483849269817 13.0232882443174 13.0408185216059 13.1890438404555 13.7660737458874 13.7695088728773 13.7387790136261 13.2790908487917 12.5480347640845 13.0796055742907 13.3565897058761 13.4438408468611 13.3034434305161 14.5539023931945 14.3645750122209 15.183602649651 15.549329284518 15.6332488550307 16.1349323948879 16.6700290510006 17.4015085909359 17.8130026242275 18.1339093598709 18.242005207569 19.005815090931 19.626094957522 20.8080491396843 21.1269999959524 21.7527589142451 22.1307357047989 23.3946537976666 24.1673388004766 24.343924068286 24.268539976825 24.2322213622595 24.8355073529704 25.4602896213156 26.2241940254363 26.1571299886421 26.0943790156068 26.2963616689817 26.0125529141767 26.3750116898906 26.2594846367666 26.6038634919674 27.0373071313426 26.8375513904738 27.9340167911235 26.9663750784335 27.7556759722889 26.8910117238385 27.3304410829151 29.1319918463524
Euro area EMU Nitrous oxide emissions (% change from 1990) EN.ATM.NOXE.ZG -0.372889246367747 -4.51869457172167 -6.86223068876692 -3.51801145665592 -2.80142231370717 -1.24032637791542 -0.0978180855163657 -8.60564300108911 -14.0109616515092 -16.3162532170814 -21.0348531485899 -21.5339175277626 -22.1987643962767 -22.6052186537505 -23.0594809532481 -26.1061264363243 -27.1083282900664 -29.3849837692532 -30.6363702721223 -35.8795162142698 -37.1154921037951 -37.9194355896811
Euro area EMU Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) EN.ATM.GHGO.KT.CE 141386.330328063 169500.886256909 169997.548003109 192664.792249514 198880.217078979 185528.634183496 196458.422657037 203754.323198312 215574.431681278 222554.048409564 228954.759415152 231047.572128606 228564.673155 227478.498879097 241118.470862255 248061.404069024 263269.233533158 257537.241859317 292194.661722165 291360.496411493 174367.526037063 166331.203117292 171045.215730328 173286.878754459 172633.739883592 165675.086370464 158062.273726237 165558.251513679 100636.364290051 84801.1532551077 115959.596811488 103252.510437683 112074.659913984 138920.027931121 107329.173159741 116913.560557069 124203.066619995 124326.052086208 132255.39064642 182435.970549342 150482.858175342 174591.556878508 206078.670372542
Euro area EMU Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP) EG.USE.COMM.GD.PP.KD 103.06259421577 102.438117180536 101.070071253043 101.79941805976 99.3211643831013 100.954365546207 102.532685922761 99.6722957442428 98.4020214521506 95.5265080552779 93.1807913532512 93.5699678987244 92.697297200748 93.9354370577711 93.1483908214756 91.7970296815192 89.1233428065829 85.0792221586818 84.5433824163255 83.6631524545112 84.8383794105917 80.0730642424814 80.0751741991224 79.6272468320944 75.5883974644087 75.2247504510375
Euro area EMU Electricity production from coal sources (% of total) EG.ELC.COAL.ZS 48.3167076686675 49.2224386247333 50.1870792437029 47.0729000818258 48.1842600271491 44.7226650220972 41.6647388736512 43.2186611853982 42.3273547160129 40.5691398771564 40.0982110117011 40.3267105062359 37.2395984829823 34.8529812716681 34.149134261922 32.9001339812999 36.0509664977548 34.745795107194 34.981535114789 34.9707806565326 35.8980102493261 35.9659031531582 37.8329305875161 37.9395407230227 36.7218467239675 35.1870029005014 33.9222217542296 32.9634643905565 32.1202910295633 32.8725069340421 32.7112945027182 31.6537765805523 30.6081184339941 29.4020687593961 29.2483991715175 29.240333278406 28.1738840211733 27.4372662415765 27.6788557337812 26.8019168287568 27.3109484368377 26.2218056950502 26.9888838474456 26.792152807933 26.0639466188371 25.1092616590119 24.1994903500178 24.6602500721793 21.861973135711 20.9853576757868 20.0749110172999 21.1006981963262 22.6629539347509 22.3768785986355 21.7971144942328 22.0553614865563
Euro area EMU Net ODA received (% of central government expense) DT.ODA.ODAT.XP.ZS
Euro area EMU Net official flows from UN agencies, UNPBF (current US$) DT.NFL.UNPB.CD
Euro area EMU PPG, bonds (NFL, current US$) DT.NFL.PBND.CD
Euro area EMU Present value of external debt (% of GNI) DT.DOD.PVLX.GN.ZS
Euro area EMU Net ODA provided, total (constant 2015 US$) DC.ODA.TOTL.KD
Euro area EMU Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) DC.DAC.KORL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Canada (current US$) DC.DAC.CANL.CD
Euro area EMU Foreign direct investment, net inflows (% of GDP) BX.KLT.DINV.WD.GD.ZS 0.535676345316381 0.571831986128859 0.576308338261574 0.597742647217462 0.419922380974675 0.32690017974192 0.410483131938814 0.433433540238203 0.393477598175319 0.357320348429816 0.373022340354658 0.335074486036107 0.387598425059882 0.403125923196853 0.419600040740634 0.39686691385065 0.560989137598085 0.749281486192883 0.984268403588653 1.0429649841117 0.908845124408342 0.899973416035438 0.962453014280386 0.867345465510919 1.06471565954349 1.234558311686 1.31249705945992 2.42976164104236 4.96920119338849 8.59417656015399 4.87679756326501 3.53426659990551 3.04174908804513 2.66359119785578 6.01738163749812 7.3195247216886 9.96280551798014 4.66072357627175 3.40025265085625 4.24571358287985 6.006272471655 4.47957203843576 4.51992991545908 2.84203064187007 6.36425660359337 5.05398178277641 3.98276530814434 -0.268516112761416 1.3366721565737
Euro area EMU Net capital account (BoP, current US$) BN.TRF.KOGT.CD 13504171682.0366 8427117295.1807 5114125511.46642 10333088181.549 14349316381.8168 20483556910.2439 14238838428.3792 11738581781.2877 5411925866.71483 14311776847.7731 17092243161.9987 14578529643.0014 15318166643.4727 7894048804.76738 22759068875.3163 14033929692.4976 20360888620.3403 1625334579.55431 -22345038055.2003 -39291299715.9157 -22319003424.3236
Euro area EMU Travel services (% of service imports, BoP) BM.GSR.TRVL.ZS 29.1045825145368 26.8444966576664 27.9844433092044 28.5846453595656 28.3965174484114 28.6224495911061 25.7116273968411 25.8831447222219 25.9422699979423 25.7433536979329 26.3077019560131 29.6664568103256 30.9935369340131 31.2667386860502 30.3569982956755 30.7039871239893 31.2540278264014 32.4446812335548 31.7514618042759 32.7300021220928 32.6388514046392 32.8895362242607 31.750524405324 31.2953393394888 30.6518269136302 29.4782142276394 28.0739483548486 27.6437778430397 28.3663997385897 25.5222379306676 23.9979661715683 22.8140500292206 22.2692133652526 21.7133578659738 21.9300185924872 20.7795010659873 20.6474066279291 19.7346217329882 19.5759147912236 19.1439000896725 16.3558473055923 16.4690189376859 16.9257013024633 16.9717498661768 16.3759982363938
Euro area EMU Cereal production (metric tons) AG.PRD.CREL.MT 70826907 81902738 80366208 83012493 85168904 83077265 97233861 100062214 99892650 95446115 111094691 111311618 114256557 118522906 112090605 105750573 112248043 129526447 123318138 135717669 124302887 133786174 129400209 156948214 150653930 141714056 144793592 152977638 151235261 147810641 158047172 150847199 153728765 149569206 149081307 174362504 175466899 181146553 171779620 185006839 176809675 185599903 161544996 201652283 176450324 172482309 174939309 201445110 189300837 177033963 179934153 182837981 192546833 201591308 196392565 177066491 175398099
Euro area EMU Arable land (% of land area) AG.LND.ARBL.ZS 30.5002225697699 30.4551672326088 30.3922721798767 30.0446486667206 29.8944224789512 29.4815805739436 29.343012407186 29.0885698035681 29.0870762139503 28.7135644555733 27.7657830874363 27.6433950359588 27.4456657905139 27.4382490547464 27.368999136473 27.2409335647585 27.2440526644532 27.3447832678568 27.3141319471333 27.2986186090312 27.3036695258422 27.3126320096845 27.1203176570565 27.2004117491535 27.1675905684778 27.197133835755 27.2584609156849 27.0776329719188 27.0532350773875 27.0031527710255 26.762035061536 26.9581262739105 26.9848825403317 26.7665762722228 26.2270446865809 26.3778531420356 26.2540387312442 26.0895235302795 26.0254659907121 25.9652575014613 25.2059830085669 25.0978592438838 24.9202870442092 25.0413067577676 25.0317214819132 24.7344169258542 24.4983544278706 24.6411841477663 24.5027303690134 24.4963287116031 24.3466636538728 24.590927960892 24.3429442810898 24.2512957870767 23.9648965877149 23.8542451827523
Euro area EMU Households and NPISHs Final consumption expenditure, PPP (current international $) NE.CON.PRVT.PP.CD 2910633795621.71 3090291116817.53 3237159658437.45 3294318561322.82 3416275412990.71 3551165005167.97 3694293212750.45 3841397803452.47 4006945611439.79 4212780444704.14 4487106985238.09 4700572260918.96 4842504418528.96 4945011925127.92 5147084833661.31 5369605163787.17 5653087888534.86 5891410590033.96 6163080057068.39 6125136803768.81 6344224777449.33 6570959048590.83 6597648083952.09 6747018486639.66 6872610557988.29 6964423085872.74 7362000475131.36 7659848629480.27 8390642810983.08 8564598563580.07
Euro area EMU Military expenditure (% of general government expenditure) MS.MIL.XPND.ZS 5.06639509678988 4.91821455266647 4.58939271929054 4.38045003769514 4.09159736167405 3.86678574091544 3.77540599025478 3.45151487727464 3.56129891138322 3.56730971600052 3.52765955092564 3.54980566817217 3.53627592055474 3.43994058047564 3.38487952637905 3.36177317196889 3.37139580124436 3.29420715363926 3.2272396215618 3.1846203948073 3.17224295309173 3.10004581003316 2.97847367553989 2.91696748523134 2.86433464683683 2.77282827571198 2.70256997617983 2.69314549819982 2.79856446840442 2.841289997435 2.85465506876817 2.9478971786283
Euro area EMU Individuals using the Internet (% of population) IT.NET.USER.ZS 0.0725336197254252 0.160173037172055 0.311157998543635 0.459291067786634 0.829154421934505 1.66765117614444 2.88052533828673 5.09786729127434 8.00428523842641 15.1985629784724 22.4660207469771 27.3076332976348 35.0831859167613 42.0088820306543 47.3731624421905 51.1537093991079 54.8400190482736 61.31145819236 64.7954913587688 67.1051439207469 71.0268964950833 72.0135155240751 74.1189289547935 75.8504085743527 77.0892445242706 77.4724375490298 77.9894252620764 79.6609139098033 83.7836355424435 84.4859073694646
Euro area EMU Air transport, registered carrier departures worldwide IS.AIR.DPRT 996500 1046400 1109000 1100500 1133900 1098200 1122700 1131400 1166900 1186200 1174400 1147100 1186400 1170400 1203600 1240800 1274400 1397800 1558800 1672000 1807500 1875800 2094000 2206500 2316000 2456400 2682200 2988600 3145600 3384600 3614849 3602518 3506391 3648890 3873901 4159101 4376416 4615435 4645469 4526504 4312987.80537931 4429716.47543149 4311417.62183855 4127753.909 4154277.39764928 4289208 4468338 4479927 4558126.9394902 4854517.543
Euro area EMU IDA resource allocation index (1=low to 6=high) IQ.CPA.IRAI.XQ
Euro area EMU Patent applications, nonresidents IP.PAT.NRES 80033 60447 55947 62563 47596 51977 40688 31708 38014 30901 28634 24455 19546 18444 17127 17144 19528 19554 18754 18793 20349 18821 18330 17872 16442 16736 17977 17978 17210 15506 15999 16753 18967 20301 21882 22740 23891 24716 25673 25425
Euro area EMU Tax payments (number) IC.TAX.PAYM 15.875 15 14.4705882352941 13.9444444444444 13.2777777777778 13.2777777777778 13 11.7894736842105 11.7894736842105 11.7368421052632 11.1052631578947 10.9473684210526 11 10.8947368421053 10.3157894736842
Euro area EMU Time required to register property (days) IC.PRP.DURS 70.84375 70.21875 67.0588235294118 61.2058823529412 59.4444444444444 52.7222222222222 33.8611111111111 30.6578947368421 28.6842105263158 27.2631578947368 27.5526315789474 26.2894736842105 26.2894736842105 26.2894736842105 25.6052631578947 25.3157894736842
Euro area EMU Firms with female participation in ownership (% of firms) IC.FRM.FEMO.ZS 38.7
Euro area EMU Time to obtain an electrical connection (days) IC.ELC.DURS 42.5
Euro area EMU Human capital index (HCI), lower bound (scale 0-1) HD.HCI.OVRL.LB
Euro area EMU Compensation of employees (current LCU) GC.XPN.COMP.CN
Euro area EMU Taxes on exports (current LCU) GC.TAX.EXPT.CN
Euro area EMU Net acquisition of financial assets (current LCU) GC.AST.TOTL.CN
Euro area EMU Real interest rate (%) FR.INR.RINR
Euro area EMU Claims on central government (annual growth as % of broad money) FM.AST.CGOV.ZG.M3
Euro area EMU Renewable internal freshwater resources per capita (cubic meters) ER.H2O.INTR.PC 3614.71625541133 3464.44839155325 3360.18055610816 3278.1486108731 3218.70644512097 3188.34989546298 3225.79823192116 3165.09261860587 3112.71717432173 3032.99312948078 3001.28783626248 2957.26305172002
Euro area EMU Population in the largest city (% of urban population) EN.URB.LCTY.UR.ZS 15.5727209442029 15.5639855522937 15.5460031096084 15.4853480326757 15.4324712866606 15.3838645734507 15.3478576977039 15.3321807481682 15.3422310761833 15.3757815673272 15.4318927666407 15.4699263200995 15.4560566821282 15.4550211697873 15.4694613157323 15.4906794674921 15.510102258359 15.5338845599354 15.5589302367313 15.5824755327786 15.6016248608446 15.6009677678629 15.5815715345564 15.6031407153402 15.6458243029269 15.6970941635534 15.7444528759332 15.8400161740029 15.8374176665478 15.8912355754099 15.8750893047925 15.8335568889238 15.7925997198693 15.7502260711725 15.7226120116645 15.6962150646744 15.6724369335685 15.6477921125583 15.6276629975115 15.6096060635065 15.5940285851543 15.5708373002842 15.5368116454782 15.49802018125 15.4593210120784 15.4300427730065 15.4110207118937 15.3872620212535 15.3720032986969 15.3830748342935 15.4090385639497 15.5016779070218 15.5346446431917 15.5518865367343 15.5699452752516 15.5924834117927 15.6166842400642 15.6555121593948 15.6943788449661 15.701196934703
Euro area EMU GHG net emissions/removals by LUCF (Mt of CO2 equivalent) EN.CLC.GHGR.MT.CE
Euro area EMU Methane emissions (% change from 1990) EN.ATM.METH.ZG -1.57293859388627 -4.08317776410773 -6.45249388906981 -7.87294436013908 -8.49314072929306 -5.42457764233955 -6.44456236507769 -7.83636911529855 -9.17240352837671 -10.1825217497916 -11.6800690057092 -13.4248091067504 -14.6054982263811 -15.9723579174697 -16.9072942283677 -17.9063680144685 -18.3124944112389 -19.1889518596267 -19.0888653861921 -19.319489033661 -20.1953751862693 -21.418982083682
Euro area EMU CO2 emissions from liquid fuel consumption (% of total) EN.ATM.CO2E.LF.ZS 34.6875084075439 36.8101601550546 39.9916614746073 42.8679908535545 47.4809477452965 51.0363504208708 54.4924987222272 56.5636035220802 58.3575205757226 59.8999423343672 62.8060392505673 64.8339562141251 66.1965665367897 66.8956423877693 65.0039098292628 64.1802724718102 64.4057905231248 63.3407181473259 64.0553690125403 63.1139562987882 61.6735748076223 59.6721907116769 58.862182770563 57.9514448873607 55.4898839491316 54.2737813428222 56.6990853869606 56.6886739957589 56.9593190788069 55.3685567010309 54.4334145059276 47.6097469160827 48.2291182044095 49.3114183696066 49.0848660717533 48.9233954451346 49.042971931725 49.2458323053607 49.5425267367092 49.1396302061752 47.7427356928224 48.3461402249472 47.8393473997109 47.083022940743 46.4841005792453 46.2644279399281 45.7409378609502 44.6178767011874 45.5271066567647 46.6516748006047 44.6406197442116 44.6053419534611 43.3707017018516 43.6364675694215 45.3689220500038 42.261012988798 42.7288742922066
Euro area EMU Renewable energy consumption (% of total final energy consumption) EG.FEC.RNEW.ZS 6.49947192855388 6.70947241001 6.79844098023111 6.90745911568482 7.12278717687281 6.95795697422894 7.08083201324712 7.23107062696334 7.29497187362903 7.33186584012206 7.51914968569527 7.70522362085405 7.55879386970489 8.0278528891616 8.23374944438305 8.51943946959108 9.24933889671721 10.3371875501687 10.8982724792745 12.1054235094553 12.8330881699874 13.0725364787054 14.3305386014905 15.179484475702 16.0443468982307 16.0832621961324
Euro area EMU Multilateral debt service (% of public and publicly guaranteed debt service) DT.TDS.MLAT.PG.ZS
Euro area EMU Net official development assistance received (current US$) DT.ODA.ODAT.CD
Euro area EMU Net official flows from UN agencies, UNICEF (current US$) DT.NFL.UNCF.CD
Euro area EMU Net financial flows, IBRD (NFL, current US$) DT.NFL.MIBR.CD
Euro area EMU Short-term debt (% of total external debt) DT.DOD.DSTC.ZS
Euro area EMU Net bilateral aid flows from DAC donors, Total (current US$) DC.DAC.TOTL.CD
Euro area EMU Net bilateral aid flows from DAC donors, Greece (current US$) DC.DAC.GRCL.CD
Euro area EMU Stocks traded, total value (current US$) CM.MKT.TRAD.CD 24990070000 24425930000 26086000000 43210000000 34658670000 38945300000 38948210000 32266350000 54816680000 53348920000 144396530000 303150980000 649096650000 516157020000 633451170000 872973500000 696106580000 674427710000 885233970000 1119803450000 1132782670000 865103570000 2159858930000 3628481670000 4457483970000 6564583090000 5144901630000 3700270050000 4272475020000 5271296570000 5434363140000 7962352840000 12836083960000 11147076570000 5183986350000 5037677890000 4759023870000 3782741000000 4030154750000 4138943590000
Euro area EMU Service exports (BoP, current US$) BX.GSR.NFSV.CD 72337701903.783 80321608341.7747 94931484673.9701 120835114206.998 145113910412.162 172326608782.359 162562272373.665 156268206086.554 150034962151.034 149139329592.627 157000293727.664 197962941000.362 238310471932.239 253397474988.82 268062356007.811 344197578174.547 348383238119.896 401232417764.818 378306511514.633 390610122818.274 448577381107.965 459509100150.924 455887862784.453 482003297542.219 505210728232.911 500366172551.681 516584816069.457 573622531073.889 678723815300.776 820877676202.958 883179600649.088 978644411401.397 1163424997883.88 1321978300998.65 1173326436532.86 1201352362959.25 1358078851793.63 1339976979148.12 1449668931983.71 1575120766677.77 1470396174251.49 1509684668306.67 1672094224376.34 1858847469513.08 1878369887413.34
Euro area EMU Net trade in goods (BoP, current US$) BN.GSR.MRCH.CD 78166947394.0499 25864057155.8708 61073718564.9153 116140782957.031 113030025706.044 125455874639.039 65381635333.1978 29308120652.7218 75745119920.1782 -26352804650.3666 70755663724.9396 43507287432.7561 39242620213.0005 164974223643.53 263455814005.974 305574730606.64 385386849224.882 401456303339.068 392196735808.613 338860549122.62 365761281073.08
Euro area EMU Insurance and financial services (% of service imports, BoP) BM.GSR.INSF.ZS 4.35662397678946 3.82239360226062 3.95433518768905 4.07512521327792 4.09509826788499 4.06228122870746 4.1262234848377 4.50434430081749 4.45243663273676 4.98041577645117 5.39917599921322 5.03441899982581 4.96500615992272 6.05194792683044 6.62523816318527 7.36236252814351 7.8364064312528 10.3786922442702 8.972534583689 4.93941380534201 4.95170279472413 4.88916090208968 5.06297911919335 4.44878743096854 6.44360779524728 5.80542774783634 5.92707571732948 6.39803360786361 6.22820817740649 7.45427105090435 8.28451001261872 9.59236121486846 9.81835079065506 9.30562822270439 9.28075008143817 9.7031763556663 9.6218307571102 9.74748551711242 10.0067832493555 10.1903626633224 10.2626706907309 10.1586613031349 9.87733172330079 9.57965823287888 9.08129055349944
Euro area EMU Agricultural irrigated land (% of total agricultural land) AG.LND.IRIG.AG.ZS
Euro area EMU Fertilizer consumption (% of fertilizer production) AG.CON.FERT.PT.ZS 111.820533461296 111.048131949883 94.51619625497 81.9853528521015 86.9462377731969 104.361495834096 87.1512963412248 86.574818839947 88.6759834420656 82.604756201523 82.875856551082 85.5409638573745 87.3824539413098 83.8624656787144 81.5291460491688
Euro area EMU Internally displaced persons, new displacement associated with conflict and violence (number of cases) VC.IDP.NWCV
Euro area EMU Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) TX.VAL.MRCH.R2.ZS 0.983327982921892 0.845760705815046 0.773145680505208 0.777409212218128 0.704018423447851 0.797347303291087 1.03534073541571 1.00019666990259 0.882584303109914 0.747879287284011 0.735161721417808 0.717103053974475 0.770635087835852 0.782647403433042 0.992688734095334 1.20490666460945 1.09924060617104 0.918200544873356 0.713260791424949 0.661758364998859 0.651747294131906 0.673835417260509 0.697898044694914 0.751460194283619 0.816413140801574 0.933578202898182 0.846075612311781 0.917325496992183 0.808697974779846 0.771903622849105 0.919836001864745 0.919394045499354 1.19918492279502 3.04450925768106 2.75425126006655 2.97234259739501 3.42431820878215 3.61480834257147 3.18411365193659 2.49319476094985 2.79524528149413 2.81172025139789 3.1278020731025 3.44154376509526 3.91892945649503 4.31242155091944 4.83598774309792 5.20140377987456 5.66100095149237 4.88010901602305 5.25396357139232 5.73781055278823 6.05434418231398 6.0171971514482 5.38255935180072 4.56827337561764 4.46399460417496 4.65285024982257 4.3963648600302 4.46252328481681
Euro area EMU Net barter terms of trade index (2000 = 100) TT.PRI.MRCH.XD.WD
Euro area EMU Merchandise imports from high-income economies (% of total merchandise imports) TM.VAL.MRCH.HI.ZS 69.2340729242176 70.5417301153549 70.5796009543082 70.6458326071952 70.5452265048453 70.844683949887 71.0815406960856 71.1833875381057 71.4385161098029 71.7513700410284 72.930731451165 73.7663781565486 74.0946843006362 73.5963805503291 70.5896517102638 72.5575179244454 72.118690374799 72.1093441150569 73.1332679751941 73.0317554229775 72.7383733256077 74.0315381359328 72.7116677341839 71.6740335360789 71.3545372189358 71.7089475576609 76.8739344645369 77.8790687483471 78.2278868140314 78.0132434821431 78.038981340826 78.2109605302644 79.1110187077279 79.2389037501666 78.4658448707793 78.9691422985493 78.6755323037943 79.773891017785 81.1923467163326 85.7987718716018 84.1957020146762 83.9906677885049 84.363607578563 83.713333351185 82.7716712888706 80.6629896194686 79.4053384982285 78.9814419518313 77.2205978529037 78.5314352117923 76.6278554919533 76.0438750487418 75.6097892403178 76.2309654671206 76.7215430789101 77.6811271018007 78.2886153991397 77.5228531450927 77.074163723444 77.2182531126502
Euro area EMU Share of tariff lines with international peaks, primary products (%) TM.TAX.TCOM.IP.ZS
Euro area EMU Share of tariff lines with international peaks, manufactured products (%) TM.TAX.MANF.IP.ZS
Euro area EMU Urban population (% of total population) SP.URB.TOTL.IN.ZS 62.0902995785726 62.5663221314937 63.0550878985305 63.6113694435618 64.1664336085709 64.7196955754379 65.2709547110423 65.8150358413128 66.3115675708428 66.7317850262124 67.1416687292489 67.5315199755769 67.86541818429 68.177472672718 68.4781298078145 68.7315345555441 68.9538638544137 69.1967696528079 69.4410292687251 69.6833168511155 69.9233185421622 70.1618994576785 70.3175863248479 70.4268184178115 70.4953183246435 70.5481894639651 70.6375687965761 70.8064042485702 70.9655427829781 71.0730500969069 71.2200201807131 71.3830732988442 71.5320082694295 71.6961984885841 71.8785750721823 72.0563338849661 72.2322751123822 72.4058954968194 72.577517415093 72.7537152632056 72.9421663791117 73.1472450926866 73.3907787154966 73.6413861696234 73.8868795366417 74.1299702142857 74.3678319507545 74.5966281749744 74.823148025173 75.0508906255318 75.2816981830028 75.509022879626 75.7236934634696 75.9291216578059 76.1280997904901 76.3392616677396 76.5529692817313 76.7699112193732 76.9917128514049 77.2191638838145
Euro area EMU Population, total SP.POP.TOTL 265203934 267621101 270110056 272655378 275163387 277650957 279969040 281974883 283866409 285778637 287338845 288923420 290874595 292728234 294399225 295923527 297251524 298441845 299652820 300886490 302184230 303343135 304174240 304787493 305299134 305877727 306640638 307488390 308516473 309837592 311262588 312708137 314162058 315449099 316366779 317181448 318003015 318761762 319433981 320258898 321310791 322547874 324125336 325885964 327682505 329380417 330922789 332645165 334274725 335360890 336151479 335419643 336159194 337302113 338462222 339488380 340481753 341163597 341843156 342597698
Euro area EMU Population ages 65 and above, male (% of male population) SP.POP.65UP.MA.ZS 8.57703624118684 8.65457109828806 8.72877384711922 8.80340822232954 8.88314455845981 8.9737718858879 9.1449396498722 9.31592431661656 9.48259025979824 9.6400210687438 9.78098985624604 9.96216297407112 10.1127121356753 10.235843828163 10.336676555045 10.4170158233561 10.5776782219112 10.7230664083054 10.8299264325771 10.861402648816 10.8007544467256 10.7436701447467 10.5987115141155 10.4187206863347 10.2762098646522 10.2115858443223 10.3032292363235 10.4558196642493 10.6480355675792 10.8472835771254 11.0363130630842 11.2901702888227 11.5333176163061 11.7652638788428 11.9858000422176 12.1956293125502 12.4682030149079 12.7196676414658 12.9599141928872 13.2007620911725 13.4491746000424 13.7267906373806 14.0093581197031 14.2860556518844 14.53777433333 14.7552903737136 15.0018094443158 15.2102721648324 15.4035231633026 15.6129165814891 15.8585570480334 16.1369094491016 16.4558387747736 16.7963590059206 17.1323148240167 17.449634086031 17.7392913376135 18.0071452434559 18.2627257949708 18.5221154611358
Euro area EMU Population ages 35-39, male (% of male population) SP.POP.3539.MA.5Y 6.70227686448102 6.89188631732252 6.97333378543405 6.9790691308937 6.96474048897681 6.96292856713996 6.94900299700276 6.92561480043984 6.89844341256635 6.87705483090304 6.86877670114453 6.8810388688018 6.92436027141365 6.97608490607402 6.99892544585877 6.97146923382906 6.89472208356337 6.76731638304443 6.62741654840961 6.53539171152598 6.52553367431406 6.58316072542481 6.72319213244054 6.9071659814116 7.07389375993895 7.18669975355155 7.24621744714335 7.2596821748127 7.24816703848768 7.24831492078134 7.28248723333878 7.33549238096145 7.41447500272993 7.51526357176932 7.62944697175406 7.75046212990341 7.87289748685871 8.00341000814043 8.12967986313488 8.23293824958391 8.29923925777484 8.32683724197115 8.32249377480751 8.28866539835305 8.23071250731288 8.15337620282881 8.02952713258185 7.88899812472656 7.74142447735825 7.59748191994278 7.46402739461477 7.33058842641159 7.20323403935136 7.08846538646291 6.98620669922445 6.89544001400076 6.82642614026138 6.7718212900948 6.72672788571864 6.6846341482317
Euro area EMU Population ages 10-14, male (% of male population) SP.POP.1014.MA.5Y 8.67690639484788 8.68151759777951 8.62497635728351 8.52947949797602 8.43888904217259 8.38717993743865 8.36279226335282 8.37702391536872 8.4211680069488 8.48173664429205 8.55293272182045 8.63431017909037 8.71895461980249 8.79994990303493 8.86152176295401 8.88692185487878 8.88933837713482 8.85200232955154 8.77961083697689 8.67813729881657 8.54880592915259 8.38142562190052 8.19203801250863 7.98720160586439 7.78014769087182 7.58251190679398 7.39535222928186 7.22152394787206 7.05866379584994 6.90792770966998 6.77609317903672 6.67705750602955 6.60272174402852 6.54725279084603 6.4995807558843 6.44924327049895 6.39194349881891 6.33155185600106 6.26840530325519 6.20185171967985 6.12862086966733 6.04182266823619 5.94925766737411 5.85551019759543 5.76616044829217 5.68425685441977 5.62014678752489 5.56426544546049 5.51883244516845 5.48305495683475 5.45295329444697 5.43308483960595 5.41750799424793 5.40617415881993 5.40077104113516 5.40287665131822 5.41197959006088 5.42879612942908 5.44950009258403 5.46589555100468
Euro area EMU Wanted fertility rate (births per woman) SP.DYN.WFRT
Euro area EMU Adolescent fertility rate (births per 1,000 women ages 15-19) SP.ADO.TFRT 25.7602211165836 26.7254063058722 27.6315475591005 28.1764306504214 28.7506608554189 29.3959289100924 30.1168250849498 30.9106225691766 31.1403354681561 31.358305950099 31.4953418619059 31.5999088294464 31.682918508564 30.7965355055216 29.9025876211672 29.0113800087898 28.1250375212832 27.2159140149315 25.9432998229034 24.6674226756437 23.393811561125 22.1194458070902 20.8503763417038 19.7530289587349 18.6520419542405 17.5482980049647 16.4618747212551 15.3808772958169 14.9122827738648 14.4448342717374 13.9807470122501 13.5198107858402 13.0623739370177 12.6122590422783 12.1543753940189 11.6824359533744 11.1967299521602 10.6982730164017 10.7218128953034 10.7360058854509 10.7417952236934 10.7380515348292 10.7252150560952 10.5435987774964 10.3519756601179 10.1560690388875 9.96273394082349 9.77463267502162 9.38090953576246 8.98377359040073 8.58427632756546 8.18012638490314 7.78009115695321 7.55489410947224 7.3324122048042 7.11462779991487 6.89446022065145 6.67313914952731 6.50251284828963
Euro area EMU Unemployment, male (% of male labor force) (modeled ILO estimate) SL.UEM.TOTL.MA.ZS 6.51778322672271 7.08792375004301 9.04544327608209 10.0914170333936 9.6126686051293 9.96096722147377 10.0022806635122 9.48926957021305 8.80108491877493 7.90594016024562 7.16535664839853 7.56342710078205 8.04874216830552 8.3568593963149 8.15085410043313 7.42057123628859 6.60859228055058 6.84728112545209 9.39429313869837 9.92146666109348 9.90384266643876 11.1495174308453 11.8219965917739 11.4501422594498 10.6740079645285 9.72293417205085 8.72839161418324 7.84729976470029 7.23370283522068
Euro area EMU Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) SL.UEM.1524.ZS 18.0545736501298 19.0042804528254 22.9013005756421 24.8785814164408 24.5627555491619 25.1559677542949 24.7807197600496 22.9289999126675 21.7002653342146 19.256123454188 17.2399396404212 17.5844934465685 17.9399082546152 18.5742509881644 18.8522226970162 17.6303856571534 16.0596043215283 16.6012187626867 21.4887332044402 22.5925905150972 23.2587975340921 25.9617090329114 27.2819288562253 26.9287788240705 25.422506328942 23.9194267947566 21.5591593164573 19.5422223836436 18.2054315481133
Euro area EMU Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) SL.TLF.CACT.MA.ZS 68.7892844947986 68.4487570648628 67.433085154072 66.8493686422524 66.4711980756395 65.9142447172366 65.7660719271894 65.6706531143925 65.6846767832326 65.6347077755083 65.5183545024519 65.1673819733528 65.2283642475004 65.2640232899181 65.115045463587 65.2277080879701 65.1392217796878 65.1507762459898 65.1245564675635 64.6692047009806 64.3419670334973 64.0571118085008 64.0404439977296 63.715210969452 63.4249899338936 63.2731958655659 63.2440856352385 63.259026987883 63.3638359475915 63.2984208857174
Euro area EMU Labor force participation rate for ages 15-24, total (%) (national estimate) SL.TLF.ACTI.1524.NE.ZS 50.7086332575359 50.6094267356722 52.9491685434773 52.2842818971784 52.1464216734917 52.713437512509 52.2085297263607 51.249394035834 50.9932406110772 49.6398445711801 47.5377875679111 45.9586009458461 44.7992318125929 43.722083031627 42.8031405469328 42.5312241089587 43.1728676240043 44.0162810121715 44.1067786410935 43.675724310068 43.8161953843519 43.585112863878 43.2685390112117 43.6443009029896 43.6484746958747 44.1140129891115 44.1910109839376 43.3690833976064 42.2976222829602 41.9295639883617 41.4758195925012 41.0226119417212 40.195133483889 39.8359057436227 39.7162625681176 39.8256877867665 40.0763326987013 40.2658214743777
Euro area EMU Children in employment, study and work, female (% of female children in employment, ages 7-14) SL.TLF.0714.SW.FE.ZS
Euro area EMU Employment in industry (% of total employment) (modeled ILO estimate) SL.IND.EMPL.ZS 33.24981690875 32.780164783995 32.1341279840983 31.6452425529095 31.4353809689946 30.846949545195 30.519891322029 30.6439976846218 30.244706098959 30.0125133306615 29.7573679229538 29.3779897751426 28.7266690649582 28.4270625096037 27.9276624273972 27.7438156133286 27.62534207038 27.0890020604174 25.9160750268763 25.2024113634506 24.9058474562081 24.4605178685141 23.9491808890319 23.7512740788104 23.6719185166941 23.4918404390573 23.5470359901546 23.5339408422756 23.4567248088039
Euro area EMU Employment to population ratio, 15+, total (%) (modeled ILO estimate) SL.EMP.TOTL.SP.ZS 50.6933634328886 49.832180194673 48.5926764080574 48.0349975483712 48.0542535082032 48.0232864513969 48.1264484338332 48.5659509228999 49.2604490518646 49.9280497289608 50.3613873694866 50.5649439051084 50.7317298168267 50.6880559533183 51.0941185430129 51.6901431194792 52.4008977172202 52.5801488200111 51.3479027262218 50.9886558794408 50.9451310745104 50.4635009096907 50.023111697472 50.0882864865243 50.4667133725078 51.0353564249207 51.6541670583159 52.2766297983298 52.6951713575415 51.4853250606042
Euro area EMU Employment to population ratio, ages 15-24, male (%) (national estimate) SL.EMP.1524.SP.MA.NE.ZS 45.1639195489059 46.4162234019003 45.5429654588952 44.6838942566683 45.0251556698001 45.110794893016 45.296922217155 45.9502030203196 44.4431962491869 42.2082056045907 38.8942297279746 37.3205631514677 36.8318663570436 35.9352262400348 36.0403046035168 37.4270313820675 38.6874412653454 39.6696613535701 40.2337421253098 40.1747792885026 39.384027795682 38.7021555843612 38.9680714945827 39.6623677854788 40.62911709265 40.1811986374805 36.5902392853564 35.459765481887 35.0436375472995 33.6555924554104 32.8291076949374 32.3685441158047 32.5523294468836 32.9791186469971 33.9352686107237 35.232998879452 36.0043697107653
Euro area EMU Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population) SI.POV.UMIC
Euro area EMU Income share held by lowest 10% SI.DST.FRST.10
Euro area EMU Domestic general government health expenditure (% of GDP) SH.XPD.GHED.GD.ZS 6.42202173747568 6.52515166432443 6.68186532157904 6.80880508889287 6.78201994708291 6.86697001145019 6.83461021918007 6.74898233811876 6.97387333607493 7.57831423703609 7.54027035522687 7.39367376184613 7.41933300391579 7.48385148353471 7.51839281067279 7.50181444910503 7.48723513134738 7.47899171499738 7.47257567322141
Euro area EMU Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure SH.UHC.NOP2.TO
Euro area EMU Mortality caused by road traffic injury (per 100,000 people) SH.STA.TRAF.P5 5.18782293842316 5.10865338237377
Euro area EMU Diarrhea treatment (% of children under 5 who received ORS packet) SH.STA.ORTH
Euro area EMU Births attended by skilled health staff (% of total) SH.STA.BRTC.ZS 99.3479018887695 98.558275150699 98.5852368209611
Euro area EMU Prevalence of anemia among pregnant women (%) SH.PRG.ANEM 30.4360039969244 29.7124949802011 29.0519361408702 28.3875331792884 27.7362767703912 27.1483687231673 26.550798714396 25.9918486059868 25.4573270303563 24.9422195623773 24.5061103268228 24.1391577128856 23.8710936439433 23.6921133235105 23.5100349164631 23.4266557373867 23.2984583768497 23.1811121858058 23.0831089949503 23.0261836005215 23.0331289087292 23.1079308101129 23.2237646911807 23.3973943615713 23.5946792023716 23.8781786439247 24.256017208494
Euro area EMU Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) SH.HIV.INCD.ZS
Euro area EMU People using at least basic drinking water services, rural (% of rural population) SH.H2O.BASW.RU.ZS 99.2858208850977 99.3145367372636 99.3421372643847 99.3608928802107 99.3804402660436 99.4010842931165 99.4210717144809 99.439637454654 99.4575236422098 99.4935553012756 99.5357127393489 99.5768796798212 99.6197514857961 99.6363309318422 99.6476188667329 99.6628290935743 99.6782586846203 99.6932170446371
Euro area EMU Cause of death, by non-communicable diseases (% of total) SH.DTH.NCOM.ZS 89.7282294822047 90.3695895838437 89.8213729102714 89.4057887246808
Euro area EMU Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age) SH.ALC.PCAP.FE.LI 6.0832992055649 5.84048542747304 5.17092067848293 5.31459966239027 5.3419130569076
Euro area EMU Expenditure on tertiary education (% of government expenditure on education) SE.XPD.TERT.ZS 16.66636 15.21888 15.78685 16.02081 14.84121 14.96101 19.14919 18.594065 16.82197 17.039905 19.14323 19.60337 19.479345 20.98081 21.29734 19.37901 17.599355 19.03788 18.453135 19.60685 23.25234 18.66288 21.78937 22.21854 22.31369 20.99272 22.66374 22.02685 22.88983 22.86417 22.3045 22.627575 22.194875 23.402055 22.30695 22.41869 22.493215 23.3454 21.543125
Euro area EMU Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) SE.TER.CUAT.ST.MA.ZS
Euro area EMU Secondary education, teachers SE.SEC.TCHR 1749148 1770825 1841841 1851626 1947552 2024046 2111258 2193053 2229404 2284834 2326431 2351706 2362456 2362839 2356889 2362780 2366507 2366316 2360652 2350403 2377903 2413247 2446441 2512034 2550802 2473346 2424946 2407376 2369812 2379337 2449186 2498636 2515252 2506151 2496376 2535268 2506681 2521944 2510402 2483567 2484934 2466272 2432166 2400877 2390225 2391642 2451856 2460607 2477894 2481360
Euro area EMU School enrollment, secondary (% net) SE.SEC.NENR 73.02254 73.80958 74.84289 75.28913 75.66325 76.22538 76.17909 76.51036 76.9873 77.35963 77.9843 79.18123 79.79006 79.97229 80.26761 80.39367 81.48579 83.03105 85.74047 88.4436 88.64476 88.9461 88.64937 86.58209 86.19609 86.81765 87.22753 88.03141 88.46882 89.46641 90.67789 91.22277 90.72391 91.25926 91.16182 91.3596 90.81806 90.61763 90.02466 89.83049 90.03888 90.38816 90.58376 90.60507
Euro area EMU Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) SE.SEC.CUAT.UP.FE.ZS
Euro area EMU Children out of school, primary SE.PRM.UNER 1074405 1085208 1075990 1094009 969420 915958 846340 833358 746489 687701 659627 674748 723066 838859 857140 831772 665686 596845 560615 533334 557954 581334 659284 627079 640094 538931 394122 356652 114410 188235 195011 215855 362367 364236 356258 201856 187127 152594 183506 200577 196064 160579 181012 202579 264100 216592 184999 211827 242502 241279
Euro area EMU Persistence to grade 5, male (% of cohort) SE.PRM.PRS5.MA.ZS
Euro area EMU School enrollment, primary, female (% gross) SE.PRM.ENRR.FE 106.9762 107.0025 106.9863 106.3188 105.7065 105.647 106.4329 105.0357 104.9592 104.6272 104.653 104.4251 104.1266 103.469 103.0719 103.1944 103.547 104.3187 104.2003 104.2174 103.4303 102.7673 101.6956 101.8549 101.9776 101.8599 102.5402 102.4792 103.7808 103.4491 103.5316 103.1327 102.2204 102.0026 101.9638 102.8732 103.2497 103.5927 103.497 103.1743 102.8599 102.7584 102.497 102.9579 102.2305 102.2872 102.1031 102.4134 102.3995 102.4511
Euro area EMU School enrollment, preprimary, male (% gross) SE.PRE.ENRR.MA 67.712646484375 68.4547119140625 69.2338027954102 71.4806137084961 72.9188079833984 74.5152435302734 75.1709671020508 75.9509582519531 76.1368103027344 76.4423980712891 77.2618179321289 78.2060699462891 79.481201171875 81.2877807617188 83.0898208618164 84.3591003417969 85.8467330932617 85.5700225830078 85.2489471435547 84.95166015625 86.1388626098633 87.6075897216797 88.039436340332 89.1832122802734 90.3796310424805 90.1938629150391 92.2542190551758 93.310920715332 94.0277328491211 94.3965377807617 95.0872192382813 95.8540496826172 96.6116790771484 97.6708374023438 98.3256072998047 99.9130096435547 100.058349609375 99.9122695922852 99.9780883789063 100.029487609863 100.380096435547 100.611976623535 100.734092712402 100.968612670898 100.340850830078 100.367477416992 100.767959594727 100.251342773438 100.525932312012 100.663909912109
Euro area EMU Literacy rate, youth female (% of females ages 15-24) SE.ADT.1524.LT.FE.ZS
Euro area EMU Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) per_sa_allsa.ben_q1_tot
Euro area EMU Official exchange rate (LCU per US$, period average) PA.NUS.FCRF 0.938283072395239 1.08270508132601 1.11653308564468 1.05755899623965 0.884047927184961 0.803921647747605 0.803800192161416 0.796432730949096 0.729672399984088 0.679922680042729 0.716957702016136 0.754308990105979 0.718413898653322 0.778338120416812 0.752945122702002 0.752728196932591 0.901296423367096 0.903421436257288 0.88520550826938 0.846772667108096 0.893276257067393
Euro area EMU GNI per capita, PPP (constant 2017 international $) NY.GNP.PCAP.PP.KD 32995.8664623534 33665.3317319496 33946.0286897547 33610.7460445799 34177.773462468 34974.7634932222 35535.8276907799 36405.3937593165 37332.3714581256 38405.9006450973 39737.5987237996 40344.0104691012 40392.1570311453 40470.0677452537 41351.5721993394 41864.5490671976 43154.6097165847 44095.4095745433 43884.7149770093 42030.5267519857 42826.1643171479 43671.2907815588 43233.0208897939 42989.1795540806 43371.5635543323 43971.4459006403 44789.5074338179 45901.8192641666 46725.2125086922 47252.3291985131
Euro area EMU Gross domestic income (constant LCU) NY.GDY.TOTL.KN
Euro area EMU GDP (constant LCU) NY.GDP.MKTP.KN
Euro area EMU Inflation, GDP deflator: linked series (annual %) NY.GDP.DEFL.KD.ZG.AD
Euro area EMU Adjusted savings: gross savings (% of GNI) NY.ADJ.ICTR.GN.ZS 23.2450089729824 23.4166214653489 23.1676321122874 23.5588438518686 23.3666095769937 22.4049890326004 20.7853793956834 20.4801603035743 20.7192156598277 21.2292995126196 21.3463774154311 22.2472790763717 21.8637066018398 22.8352030134174 23.188927930074 23.4435883823452 22.6773014606607 22.042082030923 21.6367810174671 21.8908764306444 22.8794706638953 22.5666792664048 23.0802070735987 23.3813939614071 23.1924060191701 23.0802730516779 23.0246920241635 22.9438929825724 22.4263092352077 23.2026328179581 23.0893683293823 23.7467418472687 24.4320382362921 23.2544987938394 20.9676238453399 21.461670530771 22.3182367054492 22.1169079775084 22.2847252026933 22.8734172039412 23.7932833934046 24.2505565040552 24.8237792171299 25.0755250181798
Euro area EMU Services, value added (% of GDP) NV.SRV.TOTL.ZS 59.5472974153553 60.3399038689156 61.568885481719 61.5362831983204 61.3368551613348 61.7572416925672 61.9351448722952 62.0396354876364 62.2998561219151 62.4995160996577 63.0099171477228 63.5833386369181 63.9903408850332 64.0582635581478 64.2847440855202 63.9925080253193 64.032811185878 64.8497827569133 66.7130507867886 66.0981611098512 65.98741100252 66.1721863087198 66.4311411441072 66.5305423847633 66.2692396548605 66.1626603372237 66.0422862800602 66.0648640823492 66.218885768232
Euro area EMU Industry (including construction), value added (constant 2010 US$) NV.IND.TOTL.KD 2439472559215.02 2436139271782.62 2340319836570.24 2405633191911.28 2441222492587.6 2437196816642.79 2485969272432.29 2541330424816.87 2600035748180.42 2718502282153.67 2756333364986.97 2758613074614.65 2774577600702.14 2844358148008.71 2880500712285.2 2984316274940.84 3077509602584.16 3019567222196.84 2685186792386.74 2823318268429.18 2867488971285.09 2803552919879.05 2764319961265.92 2807677120430.84 2881703996688.12 2961662121156.92 3058125131796.25 3110840591625.44 3108119822611
Euro area EMU Agriculture, forestry, and fishing, value added (current LCU) NV.AGR.TOTL.CN
Euro area EMU Gross capital formation (annual % growth) NE.GDI.TOTL.KD.ZG -0.430511248115621 4.42216494912306 8.74362137035982 -0.136500563807601 -11.9730915684263 8.80021124035495 0.143039747398447 0.5162905669563 6.96770671033997 2.72941208860998 -9.59035655084161 -1.29933835022238 -0.691379922758543 2.73643757641813 2.14430141186533 6.02803371751601 4.24230616188271 9.57407347253995 7.9912227545871 5.80119075013418 1.45698806502972 -1.37573242457198 -7.99676626377078 5.17171854115503 4.83256784737665 -0.517946811688176 3.91914401375222 7.01053263010083 5.57444141445782 5.45498738875247 0.770597702232706 -2.01469097809867 1.25034856200021 2.63969733188712 1.91345430838126 6.47323432589918 6.15274637312918 -1.67566435086111 -15.9483002931135 4.03469806630321 3.53960771385434 -7.7267081507116 -1.03686903377628 3.37805079220573 4.79391004601364 3.73049090909933 5.05454258827072 2.81553148715274 3.43037363916423
Euro area EMU Exports of goods and services (constant LCU) NE.EXP.GNFS.KN
Euro area EMU Final consumption expenditure (current US$) NE.CON.TOTL.CD 463305404578.524 531491897167.427 644340237563.978 833167468731.529 952362010133.936 1145099575405.86 1192083294264.2 1362320391910.08 1661659442722.69 2020891336661.21 2293819533228.12 2028566907824.52 1966322869932.79 1916264198522.47 1825214750087.37 1874995063995.23 2600100381668.97 3238899767585 3518223270561.38 3571705379963.21 4470108066015.09 4658137087224.71 5183485996823.65 4770931133691.16 5000040554359.96 5726151473578.99 5825006082698.13 5285221001584.15 5398729106771.37 5386704226362.76 4900161367560.44 4977654670307.2 5409777539136.48 6722161181990.17 7669270820564.24 7988497947395.01 8414113352962.41 9563253100154.59 10605553891233.7 10044007944091.7 9787458639186.56 10470149904432.8 9740610951381.76 10139040333419.5 10278196549707.2 8770826057069.9 8962158966409.24 9426782151628.54 10149260063412.1 9888671594459.02
Euro area EMU General government final consumption expenditure (current LCU) NE.CON.GOVT.CN
Euro area EMU Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) LP.LPI.CUST.XQ 3.26333333333333 3.31 3.25894736842105 3.4580077368421 3.47935984210526 3.35315789473684
Euro area EMU Intentional homicides (per 100,000 people) VC.IHR.PSRC.P5 1.1 1 1
Euro area EMU Merchandise exports by the reporting economy, residual (% of total merchandise exports) TX.VAL.MRCH.RS.ZS 11.9916729369438 12.3247386401073 12.2963752608704 12.0141867726983 12.3402699971572 12.1193798979601 12.3479608297373 12.624878652874 12.5488793997793 13.2490527569977 13.3914111414051 13.3147885945831 13.2204346085648 13.2879070570697 13.4871118597831 14.1611747164811 14.0283490194929 13.8298876407137 13.7874489364448 13.5900787848242 13.595671330298 13.0395467149205 12.7857077993067 13.0297968879899 12.3529252699008 12.1943065999796 11.8910517606636 11.5784756516153 11.620959960345 11.4904271033082 11.8283977069855 11.0722009426386 10.2022641923148 7.84099253820894 7.76968049990474 7.21117778978443 7.12255921136316 6.37545164710754 5.8387086378906 1.00501201233029 1.0198290557194 0.98311831144399 1.0243565193469 0.933795273607824 1.06584317684869 1.03665041301614 1.01895657317466 1.03440143612613 1.14871942705176 1.106295138618 0.811002115462293 0.894598805779975 1.0490307871229 1.167082019056 1.02977939714431 0.858829626456825 0.775211998402687 0.927981658041441 1.1305831906735 1.07028442849748
Euro area EMU Food exports (% of merchandise exports) TX.VAL.FOOD.ZS.UN 18.7213841991449 15.5794794849119 15.0910583690344 14.9536618499253 14.1366656362543 14.584680719235 13.658835171294 13.3308208741921 13.2605594307085 13.2950747364285 13.1431964368604 13.2606581112193 11.9716857008374 12.4956959628461 11.9465223629274 12.0596743390962 11.9311837396216 11.6159977149234 11.4435893955507 12.0759554187751 11.724573613909 11.4382825042375 11.3358081247946 10.9889082398665 11.1542385428991 11.2504372421969 11.2358011446449 10.9466120225544 10.5990518078341 10.9193461654491 11.2640680391456 11.2231606313467 10.9409054884611 10.4129723034461 10.2161288943611 9.38442201419629 9.29513222393086 9.21595497657745 7.84821859265368 8.08254507927034 8.38118259956284 8.44462452165186 8.042176681694 8.03269056656126 7.82786478952429 7.97201052493999 8.56336526901314 9.63796148273366 9.03219510353097 9.22956834660614 9.43762820138671 9.77959171053976 9.76063711883069 9.8657823454957 10.0650948751158 9.95530983614852 9.57172799246983 9.77839838776807
Euro area EMU Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) TM.VAL.MRCH.R4.ZS 6.52665241419105 6.4778155572707 6.38573526627127 6.13970257855511 5.95136617424115 5.82176876682356 5.45311982993204 5.48275313249343 6.02506335789722 5.5686745654055 5.34945569923653 5.24742483412621 4.56277264944332 4.7501208202015 8.51884378304924 7.49635908841865 7.70691076077197 7.08435697639812 6.5921025826016 6.45535795422617 6.82528439132224 5.81635724977952 6.76190892043815 6.88721948972953 6.57124839687667 6.55683366493677 3.50094703244307 3.43048275157497 2.76541159096879 3.15848831789129 3.37932226603777 3.08348986210539 2.86308154419774 3.01089512005909 2.63079443449045 2.41226333772066 2.65790046202449 2.47664262344965 2.03693368857633 2.20145525446837 2.89027095558145 2.62902965645696 2.38943377397066 2.38012756382446 2.47820210981514 3.05120978732055 3.2061317216477 3.01238248283841 3.56386855282644 2.87334343626273 3.1636653794432 2.72608560204108 3.07196992903132 2.57176237683627 2.25511202015208 1.87048262547598 1.77511845995131 2.08430381098731 2.23238618036 2.01605459883175
Euro area EMU Tariff rate, most favored nation, weighted mean, primary products (%) TM.TAX.TCOM.WM.FN.ZS
Euro area EMU Tariff rate, most favored nation, weighted mean, manufactured products (%) TM.TAX.MANF.WM.FN.ZS
Euro area EMU International tourism, receipts (% of total exports) ST.INT.RCPT.XP.ZS 8.19769274385504 8.31893442299362 8.2464094552786 8.10172446217396 8.06464734548643 7.49226262640966 7.1772672108456 6.92903515283458 6.67619524985888 6.38078992034569 6.65083862073923 6.16519168386249 5.9009032906685 4.82497828988359 4.95020899467943 4.98401760897839 5.46462234058523 5.52690238585968 5.53906459308817 5.51214372511687 5.92285194004593
Euro area EMU Completeness of birth registration, female (%) SP.REG.BRTH.FE.ZS
Euro area EMU Population ages 75-79, female (% of female population) SP.POP.7579.FE.5Y 2.24234325139127 2.28054130020742 2.324468862849 2.37348329834306 2.42458839117398 2.4778972734296 2.50651813092011 2.53235180616284 2.5625399714199 2.60550502880205 2.66517119748426 2.71228878915085 2.76756549015975 2.83073584121014 2.90092412535316 2.97834229253675 3.03892552772641 3.10338267019613 3.17372074514506 3.25171941733949 3.33864776246692 3.39363148896105 3.44867097329744 3.50864444898459 3.57825331115715 3.65810626490005 3.70975921692475 3.78330556992998 3.84669434064194 3.85011207344589 3.76987471816556 3.57530957018638 3.29913005398862 3.0249648176765 2.87021848751489 2.89287645607412 3.03669407536806 3.32475075882873 3.67503056000382 3.97895911380897 4.18151091588366 4.24540294347099 4.24041294658605 4.20123462190829 4.17068065402032 4.16829035413024 4.15053042967264 4.14802019846609 4.16183038513958 4.19508181260329 4.24832636265958 4.27929870950796 4.33991477458384 4.41122177342431 4.46617496198529 4.49163478852244 4.4343409740888 4.35466403266103 4.28275140220295 4.25834840183797
Euro area EMU Population ages 50-54, female (% of female population) SP.POP.5054.FE.5Y 6.55272663245962 6.5592163490434 6.58358364131078 6.58395997635832 6.49427628831178 6.28416572290349 5.94947166709733 5.48656129636951 5.00378452781238 4.66578845765393 4.56679230096501 4.68347538220626 5.03102254430182 5.49829568053894 5.91077369750367 6.16304594639745 6.28024007252517 6.25989257924462 6.14971357399111 6.03125329919384 5.95379157636461 5.89268957355007 5.85126603466972 5.83028649467335 5.82740840543259 5.84062639187845 5.86078231441933 5.91191419196848 5.97201091664112 6.00658444092383 5.99539199082942 5.93703195810999 5.82918432869466 5.70711655754913 5.62657436961846 5.62131287858215 5.68400194329519 5.81934908235941 5.99614111784937 6.16125894171513 6.28125992204749 6.35609484776069 6.39155614175193 6.40478988970542 6.42509683333051 6.47027246600507 6.520912603927 6.58731557742633 6.66920440352267 6.76411578382165 6.86845183830083 6.9868871110561 7.11971903571642 7.25059477685226 7.35994988239012 7.43560464633878 7.48432521669572 7.49865139790193 7.48225829521013 7.4427934713189
Euro area EMU Population ages 15-64, male SP.POP.1564.MA.IN 82178622 82809023 83558234 84387458 85204275 85982556 86514555 86980781 87442472 87954661 88419694 88931399 89634666 90394630 91193140 92043675 92778167 93544949 94429639 95476159 96705551 97852680 99030046 100182364 101226222 102149950 102825943 103433775 104021658 104663472 105313695 105804099 106276250 106679809 106963520 107232872 107435561 107636233 107822043 108056125 108346872 108648109 109057291 109521133 110001206 110462782 110708778 111047927 111361934 111469071 111436762 110725321 110506341 110423451 110369045 110307082 110301793 110217180 110148400 110114581
Euro area EMU Population ages 00-04, female (% of female population) SP.POP.0004.FE.5Y 8.19112622220196 8.30348607159221 8.38099722008084 8.41963756345613 8.4291264328988 8.4141776058172 8.41677625773222 8.34415697969888 8.21774404824043 8.06366288988801 7.90571611792581 7.70076165813568 7.51110284341032 7.33597052193198 7.16643997823956 6.9939003323639 6.79618264553906 6.62584293320162 6.47424777320145 6.33596871348329 6.20971002552059 6.12577150269361 6.04493226750944 5.96741097877609 5.89413219436791 5.8275478106526 5.79283407267008 5.73324801169189 5.65869918921206 5.58059582209954 5.50860577278161 5.43346404247379 5.35832088759687 5.28683951902326 5.2190201773651 5.15222828822264 5.07584030874994 5.01878269790734 4.97531988712112 4.94168949081193 4.91787027346217 4.90475802139317 4.89391352491418 4.88684031086514 4.88480688421364 4.88596405822245 4.90183484606308 4.91490588238008 4.92094609968599 4.91435160706369 4.89473077189059 4.90601699441715 4.87147536622006 4.80892203670683 4.74130807470921 4.68644352134118 4.62757438540054 4.59051594768974 4.57036649856116 4.55190102503258
Euro area EMU Contraceptive prevalence, modern methods (% of women ages 15-49) SP.DYN.CONM.ZS
Euro area EMU Children in employment, wage workers (% of children in employment, ages 7-14) SL.WAG.0714.ZS
Euro area EMU Unemployment with basic education, male (% of male labor force with basic education) SL.UEM.BASC.MA.ZS 14.3251201895889 13.8032677413872 13.6316118907405 12.8631233427546 13.4215849196228 14.1212008362314 15.0768011740587 15.1255080754319 14.0692254087615 12.7010839927339 12.5994327441778 17.4683480748217 19.0706559189104 19.4703925199778 21.993211465298 22.8919798050216 21.8285159256142 19.9838629858033 18.3587953746245 16.7582668729348 14.8927631734934 13.9360891217888
Euro area EMU Labor force with intermediate education (% of total working-age population with intermediate education) SL.TLF.INTM.ZS 64.5811917634727 66.4813307192538 66.2942238276564 66.1625080994301 67.0421574364856 67.2286141844685 66.3707286439812 66.6232881176045 66.8226358379915 66.3835508988612 66.7587902225117 66.6195813251511 66.5159600558641 66.8178808052708 67.0134412751401 67.077671828014 67.2142699529291 66.9727175369488 66.448921823927 66.0424705114616 65.9657385595484 65.4077126940018 65.208212526215 64.8570049783132 64.8286532374165 64.4192338484878 64.1112772368987 63.7660695603727
Euro area EMU Labor force with advanced education, female (% of female working-age population with advanced education) SL.TLF.ADVN.FE.ZS 77.05042890563 77.0997016930951 77.0801118496034 77.5419925994922 77.8710812952567 77.8567532818774 77.1562874768669 76.9373247020305 76.808916125237 76.3687345990766 76.7385262257334 77.226070225023 77.2124633029627 76.7230723901688 76.7403224658285 76.766364463158 77.0562128859387 76.9109542148399 76.6883274276727 76.8282263088174 77.0061543395912 76.7266652442837 76.3517902810373 76.1783547149497 76.2765029034845 76.0106101461673 75.8514388592414 75.9543609054162
Euro area EMU Average working hours of children, working only, female, ages 7-14 (hours per week) SL.TLF.0714.WK.FE.TM
Euro area EMU Children in employment, self-employed, male (% of male children in employment, ages 7-14) SL.SLF.0714.MA.ZS
Euro area EMU Wage and salaried workers, male (% of male employment) (modeled ILO estimate) SL.EMP.WORK.MA.ZS 79.7470960615498 79.4911886648568 79.417939230816 79.1197412814755 79.3155724593435 79.2266343993805 79.258028402099 79.5169484256974 79.8595727690941 80.2703733801126 80.4076787865306 80.4549482953348 80.1924364343101 80.0188837643346 80.1439621148207 80.2051882670041 80.4040739264789 80.7428247134502 80.5063373573828 80.3343442668931 80.4310749190848 80.401292665293 80.4665838785948 80.6565001010073 80.9397252320359 81.2793266653066 81.6849732982009 81.954038407488 82.0761528469415
Euro area EMU Employers, male (% of male employment) (modeled ILO estimate) SL.EMP.MPYR.MA.ZS 6.63679567398393 6.92637648302712 7.01648221542922 7.17343046767897 7.09579971910957 7.1370088109457 7.15366090916912 7.16183091320599 7.25852296529529 7.08254368342083 7.03556485883966 6.91872232976366 7.08298934271641 7.17430691827428 7.05446771752555 7.09445890875272 7.05644159760139 7.0911124783986 7.12819634264049 7.08295855919936 6.91032832999762 6.7791624274214 6.78658561491047 6.68538655195113 6.59782665364839 6.46595106640127 6.39891994468581 6.33927559028883 6.27716020664283
Euro area EMU Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) SI.SPR.PC40.ZG
Euro area EMU Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population) SI.POV.LMIC
Euro area EMU Out-of-pocket expenditure per capita (current US$) SH.XPD.OOPC.PC.CD 270.287772998875 272.001911787569 302.897103858832 382.116031753279 445.631215633099 460.342582842334 498.348145939552 563.453225509721 639.245736716922 609.686013699119 596.460126353171 648.102456741937 608.153420418233 632.649814996999 643.513583578436 552.969519160881 559.505431648347 588.186861702804 624.396282622351
Euro area EMU Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure SH.UHC.OOPC.25.TO
Euro area EMU Prevalence of severe wasting, weight for height, female (% of children under 5) SH.SVR.WAST.FE.ZS
Euro area EMU Mortality rate attributed to unintentional poisoning, female (per 100,000 female population) SH.STA.POIS.P5.FE 0.366434994030473 0.295287707362953 0.269977184889464 0.290020617737652 0.289922423468781
Euro area EMU People with basic handwashing facilities including soap and water, urban (% of urban population) SH.STA.HYGN.UR.ZS
Euro area EMU Risk of impoverishing expenditure for surgical care (% of people at risk) SH.SGR.IRSK.ZS 0.11684561393293 0.34576446770152 0.285099889313398 0.199545102044937 0.172046313374193 0.161129971462844 0.225143056186427 0.17519297631887 0.182093814940945 0.207138389319199 0.20321977437479 0.195223791623043 0.178534266474746 0.172406107765781 0.153360860185795 0.135607534292715 0.145305056467962 0.13191924556049
Euro area EMU Hospital beds (per 1,000 people) SH.MED.BEDS.ZS 9.65218683850006 9.94208867778308 9.07524027189126 8.24123604035793 8.03062405448102 7.90771864248654 7.74924584384216 7.64864688378082 7.51709449210461 7.50233424704565 7.23489304667167 7.07349176769583 6.87948900697098 6.65467869262068 6.5386524863217 6.41500916090065 6.26641067907423 6.13919117674592 6.05201986564975 5.94917328032673 5.88810595410277 5.79713836737133 5.6793609976703 5.57638409878899 5.52899850775883 5.47778583458884 5.39840451313746 5.43295373249098 5.30389630543467 5.25405567889566 5.20378866775754 4.27628781409739
Euro area EMU People using safely managed drinking water services (% of population) SH.H2O.SMDW.ZS 95.5774205043363 95.7139258559984 95.8603793514262 96.0036970726662 96.1724266984803 96.3432175940046 96.5143205766835 96.6822753746948 96.8473284632594 97.0123067398162 97.1792585603091 97.3356879133333 97.497508086239 97.631056460127 97.7638189763076 97.9144820663574 98.0479957094387 98.0700366122697
Euro area EMU Probability of dying among youth ages 20-24 years (per 1,000) SH.DYN.2024 4.30804399450524 4.26429934671999 4.15686535903152 4.05043822613927 3.91066422846884 3.78919811028036 3.6839184851765 3.61402149638166 3.53689451178854 3.4553942567277 3.34822794995365 3.24036720930107 3.11452048301281 2.96697824880376 2.86130524022017 2.72261906129676 2.59507876124557 2.49553630167339 2.39814121429051 2.28877448127298 2.20756221765628 2.10311021122231 1.99305199088616 1.88770085276174 1.82478908508942 1.73986362722499 1.71885552884048 1.72470034718418 1.70789951375009 1.70539918732201
Euro area EMU Prevalence of anemia among non-pregnant women (% of women ages 15-49) SH.ANM.NPRG.ZS 22.7772813737583 21.1376377542411 19.6871159223607 18.4065228838073 17.3299240094921 16.4368095519529 15.6872789184018 15.0646582580493 14.5368409080709 14.1431160162727 13.7931615188741 13.5427348746193 13.4215770570264 13.3283277329103 13.3018232606541 13.2763363240876 13.2786830524624 13.2659950508653 13.3279798630167 13.401401583294 13.5350243470549 13.8168447480213 14.1868830633746 14.674965991877 15.3315573434087 16.1104391257333 17.113616778217
Euro area EMU Proportion of seats held by women in national parliaments (%) SG.GEN.PARL.ZS 16.8688487067979 17.0290684367132 18.281885618569 19.3314633006078 19.1294387170676 19.0823015294974 20.690459528808 21.7050465458109 22.1601489757914 23.0394431554524 24.652133580705 24.9594438006953 25.4625346901018 25.3237742830712 26.0467268100856 27.4242073594075 29.9653979238754 30.1107521919705 30.1960784313726 30.3212387335336 31.2130849613812 31.9700068166326 33.3711949114039 33.7420526793824
Euro area EMU School enrollment, tertiary, male (% gross) SE.TER.ENRR.MA 22.8079109191895 22.8288707733154 24.0901393890381 25.4527893066406 26.1871299743652 27.3632106781006 28.7050704956055 29.1464195251465 29.5935592651367 29.0804500579834 29.3482799530029 29.1256408691406 29.0953903198242 28.9678497314453 29.2541103363037 29.9872398376465 30.3347492218018 30.575719833374 31.3299293518066 32.462100982666 33.5966987609863 35.2901306152344 36.7201194763184 39.1479187011719 42.0463981628418 42.7998390197754 44.0781402587891 45.5820388793945 46.480541229248 47.2980194091797 48.5341415405273 50.0581283569336 51.1483001708984 52.9927215576172 54.571891784668 55.7378387451172 56.4367980957031 56.5334701538086 57.0639686584473 57.9414291381836 59.7475318908691 61.4762496948242 62.4573783874512 63.1117515563965 64.6790084838867 65.456169128418 66.6758422851563 67.9622192382813 69.1055679321289 69.1055679321289
Euro area EMU Adolescents out of school (% of lower secondary school age) SE.SEC.UNER.LO.ZS 3.57686996459961 4.87918996810913 3.51286005973816 3.40445995330811 2.89385008811951 2.63248991966248 2.70480990409851 2.47679996490479 2.4483699798584 2.45023989677429 2.47395992279053 3.1486599445343 2.56277990341187 2.68839001655579 2.62013006210327 2.73641991615295 2.61781001091003 2.80099010467529 2.78017997741699 2.27013993263245 2.27363991737366 2.56329011917114 2.80001997947693 2.37372994422913 2.80211997032166 2.42717003822327 2.07096004486084 1.88288998603821 1.68220996856689 1.71206998825073 0.842760026454926 1.19110000133514 1.89390003681183 1.77761995792389 1.7700799703598 1.92981004714966 2.66574001312256 2.18572998046875 2.22580003738403 2.65478992462158 2.50832009315491 2.4678099155426 2.44906997680664 2.39412999153137 2.38593006134033
Euro area EMU Progression to secondary school, male (%) SE.SEC.PROG.MA.ZS 95.49732 94.77766 94.82685 95.18724 94.15442 94.16967 94.90378 95.59817 96.44208 96.09835 95.37648 95.16292 95.65987 96.34354 96.51273 96.01735 95.89827 95.2113 95.19629 95.62015 95.49998 95.40442 95.33474 96.69431 96.76457 96.69371 96.6152 96.65567 96.56658 96.63729 96.70934 96.72433 96.55808 96.58648 96.53931 96.62424 96.75222 96.71308 96.56074 96.76229 96.85592
Euro area EMU Secondary education, pupils (% female) SE.SEC.ENRL.FE.ZS 47.48408 47.47235 47.52712 47.73481 47.57112 48.08854 48.17619 48.31694 48.48406 48.51119 48.69741 49.08057 48.80609 49.10348 49.05758 49.12746 49.22164 49.22842 49.18984 49.17546 49.1587 49.20346 49.2694 49.23246 48.98043 49.00419 49.08289 48.97146 48.93855 48.94922 48.87546 48.92871 48.87639 48.889 48.91342 48.89026 48.84754 48.85972 48.83307 48.62114 48.55649 48.4869 48.44655 48.5342 48.5191 48.4694 48.44267 48.31893 48.32282
Euro area EMU Children out of school (% of primary school age) SE.PRM.UNER.ZS 4.57326984405518 4.56185007095337 4.48365020751953 4.53889989852905 4.02564001083374 3.82680010795593 3.57045006752014 3.55050992965698 3.22378993034363 3.02131009101868 2.95567989349365 3.08756995201111 3.37730002403259 3.99663996696472 4.160719871521 4.11152982711792 3.35144996643066 3.05646991729736 2.91236996650696 2.80187010765076 2.95546007156372 3.0958399772644 3.53625988960266 3.38680005073547 3.48116993904114 2.95502996444702 2.12424993515015 1.93195998668671 0.626739978790283 1.03583002090454 1.08753001689911 1.21817004680634 2.0625 2.08535003662109 2.04748010635376 1.16192996501923 1.07885003089905 0.874430000782013 1.04981005191803 1.14595997333527 1.11985003948212 0.917159974575043 1.03289997577667 1.15125000476837 1.49026000499725 1.21376001834869 1.03095996379852 1.173220038414 1.34186995029449 1.33685994148254
Euro area EMU Repeaters, primary, female (% of female enrollment) SE.PRM.REPT.FE.ZS 6.44662 6.81626 6.37929 5.89713 5.57308 5.16223 4.57035 4.53875 4.59419 4.4706 4.50203 4.44807 4.48611 4.40726 4.10216 4.09449 3.86308 3.94428 3.39981 3.34848 3.12642 3.02104 2.72488 2.76098 2.586 2.49707 2.41478 2.38245 2.3101 2.31723 2.29502 2.26351 2.21447 2.1607 2.1324 2.10696 2.12077 2.08498 2.16014 2.04892 2.0418 2.03345 1.99198 1.96973 1.95822 1.94163 2.03268 1.95516 1.87595
Euro area EMU School enrollment, primary (% net) SE.PRM.NENR 95.24851 95.26369 95.34521 95.29286 95.80841 96.00871 96.26553 96.28534 96.61024 96.80896 96.86926 96.73132 96.42694 95.80159 95.63141 95.67453 96.42887 96.73818 96.87924 96.9887 96.79845 96.63955 96.17692 96.30841 96.19459 96.70039 97.51924 97.60993 97.78102 97.60168 97.587 97.38783 97.16182 97.12704 97.8101 97.85197 98.01473 97.88209 97.64435 97.61237 97.85523 97.85339 97.87697 97.42686 97.58042 97.57071 97.44854
Euro area EMU Primary completion rate, female (% of relevant age group) SE.PRM.CMPT.FE.ZS 95.7886276245117 95.794921875 96.0087127685547 96.1272277832031 96.564338684082 98.2218399047852 97.8477096557617 97.8796615600586 97.5661773681641 97.2237014770508 97.6116714477539 97.4604263305664 97.5876617431641 97.1792373657227 97.7412796020508 98.0480804443359 98.1519393920898 97.0960235595703 98.2935485839844 98.1937484741211 98.8577728271484 98.9356994628906 99.5045471191406 99.5927810668945 98.7408905029297 97.6502685546875 97.6962203979492 97.4183502197266 97.7497024536133 98.0936737060547 98.8688430786133 99.9052886962891 98.5860214233398 98.4508514404297 97.8463897705078 96.4747619628906 96.503791809082 98.1539001464844 98.3769836425781 98.0035781860352 97.9320831298828 97.7513427734375 97.2547836303711 97.0507583618164 97.021240234375 97.8428268432617 97.0432510375977 97.3631591796875 97.4126129150391 97.4194717407227
Euro area EMU Literacy rate, adult male (% of males ages 15 and above) SE.ADT.LITR.MA.ZS
Euro area EMU Coverage of social safety net programs in 4th quintile (% of population) per_sa_allsa.cov_q4_tot
Euro area EMU Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) per_allsp.ben_q1_tot
Euro area EMU Net primary income (Net income from abroad) (current US$) NY.GSR.NFCY.CD
Euro area EMU GNI (constant 2010 US$) NY.GNP.MKTP.KD 5116341593148.83 5278677829468 5530236901464.36 5869964474115.32 6068126072110.58 6000899139772.22 6301058949792.49 6488355719043.84 6685542791295.38 6950654632125.24 7101616474680.47 7116906606335.21 7159651251333.8 7262982782318.2 7440271378454.68 7621520921980.91 7823487205090.74 8044444408157.88 8399410068538.08 8741934034783.55 9043553293626.86 9266030099050.51 9387272057198.02 9334684153439.52 9523392455638.07 9767481973112.43 9950033770494.07 10217779388877.9 10500507004494.1 10835863989106 11248914511104.3 11461239068914.9 11526795363324.8 11610433283278.8 11929346959089.8 12133553661967.3 12565800134835.3 12903387863242.9 12904193367465.6 12404298033685.3 12677373322982.9 12909160392691.7 12813274789082 12787359785087 12942971789015.2 13160668366882.6 13439882605426.1 13801618861104.2 14075004023774.6 14261706223084
Euro area EMU GDP per capita (current LCU) NY.GDP.PCAP.CN
Euro area EMU Gross value added at basic prices (GVA) (current US$) NY.GDP.FCST.CD 584421944890.854 662755732082.921 802068152735.709 1042799941786.69 1189591571464.64 1383018963368.21 1438430431881.83 1638516666789.43 2004262681064.26 2425207562588.46 2717487840562.97 2366406210808.35 2289917161808.8 2228735306525.91 2138764677609.98 2197739489241.93 3080583353142.55 3802743240935.75 4177031028456.5 4263822456547.34 5359126077880.41 5562740505787.1 6127752782105.08 5609740161352.63 5890041760428.21 6791162805190.9 6862994442778.06 6264768649658.01 6432073142897.38 6378547304076.63 5818227009781.65 5932625559164.07 6452749736226.13 7960744689159.61 9123020204936 9442894207387.83 10004897721027.4 11523974758245.3 12688234158704.7 11635356718538.8 11366313287401.9 12245587979606.8 11360312175506.6 11856263308833 12118771717755 10478082547843.3 10738259681440.7 11360488292215.8 12265724157463.1 11963272485301.7
Euro area EMU Adjusted net national income (annual % growth) NY.ADJ.NNTY.KD.ZG 3.76799000023016 5.06731245828111 5.64579022174614 0.365127311668715 -0.74859033937085 4.7726826923806 2.88756940249253 4.03218279723625 3.25652126829735 -0.0782811283811782 -1.30826203127967 0.66283872679098 1.60182167828968 2.3189301833866 2.51507548883933 5.22989536040892 3.09306555749849 4.62149511830899 3.73562551889903 3.63704618505621 2.21992572385805 1.53116354637872 -0.821400064627383 2.35412882710597 2.7569821968755 1.80386444410811 2.73907591829644 3.38033827042241 3.08059728455817 2.59478818154899 1.97486783560893 0.847914262824872 0.891032340352311 2.61346966566727 1.13925036461396 3.14614537503748 2.77969382364908 -1.15600734023043 -3.70376007310982 1.55634593388866 0.985974765959668 -1.30024695039894 0.093835142026137 1.69064015941997 2.59970000906644 2.65391639389219 2.26927185621135 1.3164384969387
Euro area EMU Adjusted savings: net forest depletion (current US$) NY.ADJ.DFOR.CD
Euro area EMU Food, beverages and tobacco (% of value added in manufacturing) NV.MNF.FBTO.ZS.UN
Euro area EMU Financial intermediary services indirectly Measured (FISIM) (current LCU) NV.FSM.TOTL.CN
Euro area EMU Imports of goods and services (constant 2010 US$) NE.IMP.GNFS.KD 693965603046.989 733020545659.601 803152522209.654 890066554531.629 912483825408.81 863709426786.867 971048771159.65 1001185821297.9 1045822338479.42 1147168900759.88 1185728049980.95 1164370749416.46 1170177724941.64 1174230280999.6 1242399195265.62 1294761896083.9 1358063097621.31 1464268845090.66 1582960241976.88 1730037067426.95 1863177856623.16 1964249408459.8 2038717493500.48 1944619083277.02 2112161453858.1 2286999660867.11 2382543678585.88 2616975078639.18 2882492517288.45 3104307521836.7 3478639396573.82 3567037266122.79 3588039989186.06 3696517029739.76 3956448378888.91 4198755828236.23 4558002199815.28 4872892994865.12 4891503998427.53 4333142501727.96 4754920461281.72 4961501474595.95 4901019512074.68 4968915795479.59 5214446347800.14 5614006279575.64 5847102038433.08 6153087562418.09 6353715663305.32 6603652231505.18
Euro area EMU Gross fixed capital formation (current LCU) NE.GDI.FTOT.CN
Euro area EMU Final consumption expenditure (% of GDP) NE.CON.TOTL.ZS

Metadata_Country_API_EMU_DS2_en_csv_v2_2057112.csv

"Country Code","SpecialNotes","TableName", "EMU","Euro area aggregate.","Euro area",