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Report Pollu-X prides itself in its global efforts to reduce pollution for both environmental reasons as well as wellness reasons. After a series of analyses and careful consideration, it is recommended that the company monitor three specific aspects of a country in order to successfully predict a large portion of its pollution index score: the median age of the population, population density, and fossil fuel consumption as a percentage of total energy consumption (Appendix A). While these factors do not have a causal relationship with the pollution index score, it is clear that the combination of these can indicate shifts in the pollution levels. Therefore, it is important that each factor be analyzed in order to detect current countries with potentially risky levels of pollution, and consistently monitored to predict which countries are moving towards these unsafe levels of pollution. The pollution index of a country is composed of a variety of factors and equations which are not currently available, but the model is significant for our purpose. The model derived from this analysis shows age has the highest weight in predicting the levels of pollution in a country, followed by fossil fuel consumption, then population density (Appendix A). Predicting which countries are reaching unsafe levels will help our company to thrive while simultaneously contributing to a higher cause. This model can aid us in broadening our knowledge and help us to expand our reach. This model can be utilized with a 95% confidence level in which over 40% of the pollution level can be predicted (Appendix B). The data sets alone have little significance toward contributing toward our purpose; however, the connection among the four variables is considerably larger. It is crucial that our company consider the strength of the model in order to fulfill our purpose. It is significant in indicating the pollution index score. Other factors proved to be less significant throughout the process. By embracing this, Pollu-X can grow dramatically and make a global difference. Appendix A The model constructed from the analysis to indicate pollution index levels per country is as follows, where P is population density, F is fossil fuel consumption as a percentage of total energy consumption, and A is the median age of the population: Y = 101.4248 + 0.0219(P) + 0.2490(F) - 1.9445(A) From this model, we can see the independent relationships between the dependent variable and each of the independent variables. As the population density increases per square kilometer, the pollution index level is expected to increase by a factor of 0.0219. For example, Malta, which has a population density of approximately 1323 people per square kilometer leads to an increase of 29.0006 in the country’s pollution index (0.0219*1323). Additionally, the pollution index level is expected to increase by 0.2490 per each percentage increase in fossil fuel consumption of the total energy consumption in that country. In the case of Malta, fossil fuel energy consumption is 94.5% of all energy consumption. According to the model, this indicates an increase in the pollution index level of approximately 23.5347 (94.5*0.2490). Contrastingly, the pollution index level of a country is expected to decrease by a factor or 1.9445 for each year that is increased in the median age of the population. The median age of the population in Malta is 40.9, and when multiplied by the negative factor of 1.9945, the result is -79.53178467. The model represents the sum of all of the factors and the intercept (101.4248). The final result for the pollution index level for Malta is 74.4284, which is approximately a 3 point difference from the actual recorded data.

Appendix B

Although the independent variables in this model had little correlation to the pollution index score individually, the combination of the three variables can is able to predict approximately 43% of the pollution index score as indicated by the R² of the multiple regression. Because the model can explain less than half, it is clear that there will be errors in the predicted score from the actual score, as seen in Appendix A. Correlations between the pollution index score and each independent indicator are shown in the chart below. All correlations are positive except that between the median age of the population and that country’s pollution index.

Relationship to Pollution Index

Independent Factor

Correlation

Regression

Population Density

R = 0.2029

R² = 0.0412

Fossil Fuel Consumption

R = 0.0949

R² = 0.009

Median Age of Population

R = 0.5732

R² = 0.3286

The pollution index score consists of several factors that contribute to the overall pollution of a country. The most heavily weighted factors are air pollution and water, followed other smaller and less relevant pollution factors. The pollution index score is calculated using a series of formulas that are relatively complex. Therefore, it is important that these factors are not considered causal of the pollution index, but merely as predictors of the score. In other words, a higher median age does not cause higher pollution, as neither do the other factors.

The model is also relatively strong due to the fact that there were no missing data. In order to increase accuracy, any holes found within the variables and respective observations were filled prior to the analysis. Additionally, the only outlier that was found irrelevant to the analysis was the country of Singapore, which was eliminated. Eliminating Singapore had a dramatic impact on the results of this analysis because of the fact that its data was severely atypical.

The distribution of each of the factors was also taken into consideration during the process of making this as strong of model as possible. The pollution index was found to be normally distributed along with the median age of the population. While fossil fuel consumption exceeded the parameters of normal distribution by only .01, it cannot be considered normally distributed, and is therefore negatively skewed. Lastly, population density was found to be heavily positively skewed.

The coefficients for each of the variables expresses the weight that they hold within the equation. We see that median age has the greatest weight when predicting the pollution index. P-values under 0.05 signify that the variable is significant in our model, just as a higher +/- T-value also indicates importance to the equation.

Regression Statistics

Multiple R

0.658329757

R Square

0.433398069

Adjusted R Square

0.413162286

Standard Error

18.28803137

Observations

88

ANOVA

 

df

SS

MS

F

Significance F

Regression

3

21489.29284

7163.097612

21.41741014

2.14046E-10

Residual

84

28093.97567

334.4520914

Total

87

49583.26851

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Intercept

101.4248612

9.253430845

10.96078448

7.1289E-18

Population Density (per km²)

0.021924376

0.009329958

2.349890104

0.021124474

Fossil fuel (%)

0.249006892

0.086607042

2.875134461

0.005115672

Median age of population

-1.944542412

0.256671402

-7.575999497

4.25187E-11

Appendix C

The process by which these three variables were selected from the original 11 independent factors included careful analysis of each factor’s impact on the strength of the model. To begin, a multiple regression was run with all of the variables, which were population, CO2 emissions (metric ton per capita), GDP (in USD), population density (per km²), precipitation (mm), forest land (percentage of country area), imports (percentage of GDP), exports (percentage of GDP), fossil fuel (percentage of total energy consumption), renewable energy (percentage of total energy consumption), and the median age of population. It immediately became clear that Singapore was a strong outlier, and was therefore eliminated from the data. Additionally, variables with multicollinearity were eliminated due to their interference with the accuracy of the model. Factors with the greatest p-values were the first to be eliminated, as they were the least relevant to the model. However, because GDP and CO2 emissions seemed highly likely to be good predictors of the pollution index level, they were the last to be eliminated. With the elimination of each variable, the new R² was evaluated to ensure that the variables remained relevant.

Because the independent variables did not tend to violate homoscedasticity or independence, no transformations were made to the data to reduce the effects. These problems would have been notable in the residual output plots. There were no obvious patterns in any of these graphs, which allowed for free elimination and use of different variables based on its significance.

Appendix D

Dependent Variable:

Pollution Index

Mean

58.08292

Standard Error

2.496798

Median

58.55

Mode

#N/A

Standard Deviation

23.55474

Sample Variance

554.826

Kurtosis

-0.83845

Skewness

-0.01146

Range

103.94

Minimum

9.85

Maximum

113.79

Sum

5169.38

Count

89

Pollution Index – generated unit used to measure the levels of pollution within a country

· Central Tendency

· Mean: 58.08

· Mean is the best measure for central tendency since the data is normally distributed.

· Variability

· 23.55

· Normally distributed

· Skewness: -.011

· The data is negatively skewed, with the tail towards the negative side.

· Outliers:

· There are no obvious outliers in this data set

Independent Variables:

Population

Mean

64425692.19

Standard Error

20951642.55

Median

11032328

Mode

#N/A

Standard Deviation

197657400.5

Sample Variance

3.90684E+16

Kurtosis

35.08329351

Skewness

5.803151553

Range

1357056998

Minimum

323002

Maximum

1357380000

Sum

5733886605

Count

89

Population – measured in people

· Central Tendency

· Mean: 64425692.19

· Mean is the best measure for central tendency since the data is normally distributed.

· Variability

· 197,657,400.5

· Normally distributed:

· Skewness: 5.8

· The data is negatively skewed, with the tail towards the negative side.

· Outliers:

· China: 1,357,380,000

· India: 1,252,139,596

· Correlation with dependent:

· R = 0.1957

· Weak positive correlation

· Concerning correlations:

· There are none in this data set

CO2 Emissions – measured in metric tons per capita

CO2 Emissions

Mean

5.978888

Standard Error

0.701442

Median

4.470965

Mode

#N/A

Standard Deviation

6.617389

Sample Variance

43.78984

Kurtosis

13.07106

Skewness

3.085846

Range

40.23552

Minimum

0.074565

Maximum

40.31008

Sum

532.121

Count

89

· Central Tendency

· Median: 4.47

· Variability:

· Standard deviation: 6.62

· Normally distributed:

· Skewness: 3.09

· The data is positively skewed, with the tail towards the postive side

· Outliers:

· Qatar: 40.31

· Trinidad and Tobago: 38.16113079

· Correlation with dependent:

· R = 0.1587

· Concerning correlations:

· There are none in this data set

Gross Domestic Product – measured in dollars to analyze level of production

GDP

Mean

7.55E+11

Standard Error

2.25E+11

Median

1.77E+11

Mode

#N/A

Standard Deviation

2.13E+12

Sample Variance

4.53E+24

Kurtosis

39.29062

Skewness

5.822838

Range

1.68E+13

Minimum

1.62E+09

Maximum

1.68E+13

Sum

6.72E+13

Count

89

· Central Tendency

· Median: 1.77E+11

· The median is a good measure because the data is skewed

· Variability:

· Standard deviation: 2.13E+12

· Normally distributed:

· Skewness: 5.82

· The data is positively skewed with the tail towards the positive end

· Outliers:

· USA: 16768100000000

· Correlation with dependent:

· R = 0.008

· No correlation

· Concerning correlations:

· There are none in this data set

Population Density – people per km²

Population Density

Mean

233.6594

Standard Error

87.8725

Median

90.44884

Mode

#N/A

Standard Deviation

828.9875

Sample Variance

687220.4

Kurtosis

77.57378

Skewness

8.577405

Range

7711.315

Minimum

1.827463

Maximum

7713.143

Sum

20795.68

Count

89

· Central Tendency

· Median: 90.45

· The median is a good measure because the data is skewed

· Variability:

· Standard deviation: 828.99

· Normally distributed:

· Skewness: 8.58

· The data is heavily positively skewed

· Outliers:

· Singapore: 7713.142857

· Correlation with dependent:

· R = 0.014

· No correlation

· Concerning correlations:

· There are none in this data set

Average Precipitation – measured in mm

· Central Tendency

Precipitation

Mean

1141.843

Standard Error

81.9693

Median

848

Mode

250

Standard Deviation

773.2968

Sample Variance

597988

Kurtosis

-0.05337

Skewness

0.889282

Range

3184

Minimum

56

Maximum

3240

Sum

101624

Count

89

· Mean: 91141.84

· Mean is the best measure for central tendency since the data is normally distributed

· Variability:

· Standard deviation: 77.297

· Normally distributed:

· Skewness: .889

· The data is normally distributed

· Outliers:

· There are no obvious outliers

· Correlation with dependent:

· R = 0.105

· No correlation

· Concerning correlations:

· There are none in this data set

Forest Land – percentage of total land in country

Forest Land

Mean

28.90846

Standard Error

2.079039

Median

28.89227

Mode

#N/A

Standard Deviation

19.61362

Sample Variance

384.694

Kurtosis

-0.59005

Skewness

0.446987

Range

77.24155

Minimum

0

Maximum

77.24155

Sum

2572.853

Count

89

· Central Tendency

· Mean: 28.91

· Mean is the best measure for central tendency since the data is normally distributed.

· Variability:

· Standard deviation: 19.61

· Normally distributed:

· Skewness: .447

· The data is normally distributed

· Outliers:

· There are no obvious outliers

· Correlation with dependent:

· R = 0.237

· Weak positive correlation

· Concerning correlations:

· There are none in this data set

Imports – percentage of total GDP

Imports

Mean

46.38118

Standard Error

2.610894

Median

39.75387

Mode

#N/A

Standard Deviation

24.63113

Sample Variance

606.6924

Kurtosis

5.774243

Skewness

1.763199

Range

154.5235

Minimum

12.98455

Maximum

167.5081

Sum

4127.925

Count

89

· Central Tendency

· Median: 39.75

· Variability:

· Standard Deviation: 24.63

· Normally distributed:

· Skewness: 1.763

· Outliers:

· Singapore: 167.51

· Guyana: 119.21

· Correlation with dependent:

· R = 0.114

· Weak positive correlation

· Concerning correlations:

· Concerning correlation with exports

· R = 0.873

· Strong positive correlation

Exports

Mean

44.28873

Standard Error

2.816531

Median

38.8786

Mode

#N/A

Standard Deviation

26.5711

Sample Variance

706.0232

Kurtosis

9.079757

Skewness

2.135848

Range

180.9444

Minimum

9.57766

Maximum

190.5221

Sum

3941.697

Count

89

Exports – percentage of total GDP

· Central Tendency

· Median: 38.88

· Median is the best measure since data is skewed

· Variability:

· Standard Deviation: 26.57

· Normally distributed:

· Skewness: 2.136

· The data is positively skewed

· Outliers:

· Singapore: 190.52

· Correlation with dependent:

· R = 0.2135

· Weak positive correlation

· Concerning correlations:

· Concerning correlation with imports

· R = 0.873

· Strong positive correlation

Fossil Fuel and Renewable Energy – percentage of total energy consumption

Fossil Fuel

Mean

72.18485

Standard Error

2.511466

Median

76.85397

Mode

100

Standard Deviation

23.69312

Sample Variance

561.3642

Kurtosis

0.308741

Skewness

-1.02522

Range

94.27589

Minimum

5.724115

Maximum

100

Sum

6424.451

Count

89

Fossil Fuel Consumption

· Central Tendency

· Mean: 72.18

· Mean is an acceptable measure for central tendency since the data is nearly normally distributed.

· Variability:

· Standard Deviation: 23.69

· Normally distributed:

· Skewness: -1.02522

· Nearly normally distributed; skewed negatively

· Outliers:

· None

· Correlation with dependent:

· R = 0.089

· Weak positive correlation

· Concerning correlations:

· Concerning correlation with renewable energy

· R = 0.873

· Strong positive correlation

Renewable Energy

Mean

28.15029

Standard Error

2.827231

Median

21.98441

Mode

0

Standard Deviation

26.67204

Sample Variance

711.3979

Kurtosis

3.845637

Skewness

1.673273

Range

147.845

Minimum

0

Maximum

147.845

Sum

2505.375

Count

89

Renewable Energy Consumption

· Central Tendency

· Mean: 28.15029

· I used mean as a measure because is closely related to fossil fuel consumption, which was just outside of normal distribution.

· Variability:

· Standard Deviation: 26.67

· Normally distributed:

· Skewness: 1.67

· Not normally distributed; positively skewwed

· Outliers:

· Paraguay: 147.8

· Correlation with dependent:

· R = 0.084

· No correlation

· Concerning correlations:

· Concerning correlation with fossil fuel

· R = 0.873

· Strong positive correlation

Median Age

Mean

32.94607

Standard Error

0.836518

Median

32.6

Mode

40.9

Standard Deviation

7.891697

Sample Variance

62.27888

Kurtosis

-1.04781

Skewness

-0.20081

Range

30.6

Minimum

15.5

Maximum

46.1

Sum

2932.2

Count

89

Median Age of Population – measured in years

· Central Tendency

· Mean: 32.94

· Mean is the best measure for central tendency since the data is normally distributed.

· Variability:

· Standard Deviation: 7.89

· Normally distributed:

· Skewness: -0.20081

· Data is slightly negatively skewed

· Outliers:

· There are no outliers for this data

· Correlation with dependent:

· R = 0.573

· Moderate positive correlation

· Concerning correlations:

· No concerning correlations with other variables

Overall:

After running the descriptives on all of my data, I am under the impression that the predictors are not very good. I feel that there are some observations that I might consider discarding, like Singapore; I have not yet decided on China or India, although they contribute greatly to the skewness of my data overall. I will not be removing energy as a variable, but will likely only use one subcategory (fossil fuel consumption).

Appendix E

Pollu-X is a nonprofit dedicated to educating populations about pollution, in which I hold the position of Senior Data Analyst. The purpose of gathering this data is to minimize the negative effects of pollution on health and the environment in potential problem areas. This data is meant to help detect potential problem areas prior to them experiencing the previously mentioned negative effects.

Data gathered from:

Numbeo

http://www.numbeo.com/pollution/rankings_by_country.jsp?title=2014

World Bank

Human Development Reports

Unit of analysis:

Countries

Dependent variable:

· pollution index

Independent variables include:

· CO2 emissions (metric ton per capita),

· GDP (in USD),

· population density (per km²),

· precipitation (mm),

· forest land (percentage of country area),

· imports (percentage of GDP),

· exports (percentage of GDP),

· fossil fuel (percentage of total energy consumption),

· renewable energy (percentage of total energy consumption),

· median age of population

CO2 Emissions

Frequency 0.07456497 4.545178195 9.01579142 13.48640465 17.95701787 22.4276311 26.89824432 31.36885755 35.83947077 More 1.0 44.0 26.0 10.0 6.0 0.0 0.0 0.0 0.0 2.0

Metric ton per capita

Frequency

GDP

Frequency 1624294250 1.86457E+12 3.72751E+12 5.59045E+12 7.45339E+12 9.31633E+12 1.11793E+13 1.30422E+13 1.49052E+13 More 1.0 79.0 5.0 2.0 0.0 1.0 0.0 0.0 0.0 1.0

USD

Frequency

GDP and Pollution Index

1.29232402783416E10 6.09888971036196E11 1.043216957125E10 1.56037247312521E12 4.28321897648215E11 7.35604843849586E10 5.24805525215191E11 1.49990454541474E11 8.42E9 1.7851326454416E10 7.17095136543393E10 1.62429425E9 2.24567303235376E12 1.82676856283201E12 6.85434185074108E11 2.77198774856807E11 9.24027045204699E12 3.78415326790081E11 4.96210894761317E10 2.19114445034519E10 2.08796024645834E11 3.73026057135651E12 3.3587754836383E11 9.4472679E10 1.39304017701368E12 2.48802649581187E10 4.75251864900517E10 2.67328613728338E11 3.85501710654936E9 2.80642797823399E12 2.67845488679667E12 1.61400470121438E10 4.81370274871795E10 2.42230333768932E11 2.99012882097983E9 5.78686742975337E10 1.33423898611949E11 8.68345652474898E11 1.8767971991326E12 1.53300578671487E10 2.90550599943226E11 2.14948451671175E12 1.43622625849078E10 3.3678500148E10 4.9195631083725E12 2.3187628213387E11 5.52430562006503E10 1.52386896864362E10 4.43524181204377E10 7.41995286724274E10 6.71820153357602E10 4.5931968473664E10 3.09566 916275877E10 1.03835702813634E11 1.26091466097714E12 9.64232607541158E9 1.15164095812988E10 1.19292508143323E10 3.13159097400743E11 5.21803314653784E11 8.53539351964458E11 5.12580425531915E11 1.92943481740026E10 1.85787824483114E11 2.3228678111056E11 4.26481E10 2.02349846974371E11 2.7206655488595E11 5.25865974814909E11 2.27323728006703E11 2.90094117379175E10 2.03235158977963E11 1.89638162013271E11 7.484496E11 6.65658894168701E10 2.97941261088468E11 2.42591E10 4.7987303637812E10 5.79679985303385E11 3.87252164290829E11 2.46408390075918E10 4.69935988182434E10 8.22135183159996E11 2.1493615478373E10 1.77430609756098E11 5.5707944621972E10 1.67681E13 3.50630133297428E11 1.349E10 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88 .97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05

GDP

Pollution Index

Population Density and Pollution Index

Pollution Index

101.2270072992701 15.14466234758047 104.5509659290481 3.010934225427281 102.8259777451492 113.9224031 551695 37.6997002997003 1203.00347238227 46.65122468089298 369.7205416116248 14.5506356861026 75.0844509803922 23.9720709392281 85.74194992068886 3.866307289484478 23.69730959797291 144.5834568481684 43.5524155024786 95.4204073638856 75.99535382416013 123.5028138528138 136.2355043376926 132.3051143059157 63.36720083749395 306.0064671814672 31.2482189195565 94.10075599999998 48.22468527640942 17.89926289117772 120.5865045173049 78.32499387662267 231.3128708326161 113.8463478948756 85.58826997672614 4.06204216408433 109.3256047718988 3.221965087281796 421.1434842711027 137.927671025685 372.4306839186689 203.4102570204664 250.6925207756233 349.2940009874916 72.75287226852889 6.310889358076822 77.93107319815863 32.3799453200386 436.6950146627566 3.524512656717097 47.16662411845422 90.44883579363871 1322.75625 638.5729064039407 62.92980735101209 1.827462730760318 73.95955635222941 193.9131984652948 498.3459074733096 16.97922600736773 190.6247955027065 13.9190676434837 236.2787904732254 51.97968792036588 17.1213063176441 23.73093984375 329.9915283227689 125.8269381490432 114.202489354733 186.7935400516796 86.79063124945655 13.41071038149687 7713.142857142857 102.308043694141 43.67523514331171 93.51928829190056 326.6305214479348 20.73252483164978 23.54925123975058 204.5116408543375 131.1642467067275 261.4329434697855 70.07273429454166 97.36190247261668 188.0730493969271 78.52240557895458 264.9406233207953 34.55934449276406 19.46670094846301 36.57657489983198 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

People per km²

Pollution Index

Population Density

Frequency 1.827462731 858.6402843 1715.453106 2572.265928 3429.078749 4285.891571 5142.704392 5999.517214 6856.330036 More 1.0 85.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0

People per km²

Frequency

Precipitation

Frequency 56 409.7777778 763.5555556 1117.333333 1471.111111 1824.888889 2178.666667 2532.444444 2886.222222 More 1.0 8.0 32.0 11.0 9.0 12.0 4.0 5.0 4.0 3.0

mm

Frequency

Precipitation and Pollution Index

Pollution Index

1485.0 591.0 562.0 534.0 1110.0 447.0 1292.0 2666.0 618.0 847.0 1705.0 1028.0 1761.0 1904.0 537.0 1522.0 645.0 3240.0 2926.0 1113.0 498.0 677.0 703.0 2274.0 1784.0 626.0 848.0 2592.0 536.0 867.0 1026.0 700.0 1187.0 652.0 2387.0 589.0 1940.0 1083.0 2702.0 435.0 832.0 2051.0 1668.0 111.0 250.0 630.0 641.0 661.0 56.0 656.0 2875.0 560.0 2041.0 758.0 241.0 346.0 1500.0 778.0 1732.0 1150.0 1414.0 494.0 2928.0 1130.0 1738.0 2348.0 600.0 854.0 74.0 637.0 59.0 2497.0 1162.0 495.0 636.0 1712.0 250.0 624.0 1537.0 1622.0 2200.0 207.0 593.0 1180.0 565.0 1220.0 715.0 1300.0 657.0 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakis tan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Precipitation (mm)

Pollution Index

Forest Land and Pollution Index

Pollution Index

28.24890510948905 10.56765654860434 8.90762205830699 19.19373104408836 47.288524311665 11.32376781436764 51.44855144855145 11.03787354997311 42.9136070178897 22.45310435931308 60.22797018851382 42.84313725490196 61.63251632540254 55.73985950600498 34.1049825644883 21.93073062087442 22.62276380452035 54.34610184767914 51.91147669408537 34.43173695496783 18.75649350649351 34.45552246536318 12.91539005420693 38.1293283942664 13.42664092664093 51.80467091295117 12.0144 55.87301587301587 72.9112507815328 29.31180270326046 39.38955245359042 31.778275090377 20.69614133778676 30.74786656322731 77.241554483109 22.61570750027615 0.316209476309227 23.11456718205026 51.37091031536182 7.09796672828096 31.63459577072143 31.04893813481072 68.566491112574 1.098220319891868 1.221543134422343 6.052992233896754 54.30685107751686 13.3978494623656 0.123327687918433 34.7129591218049 61.733069548014 0.9375 17.26108374384236 33.1755446384938 6.909292206287494 11.54156397042348 25.36449250087198 10.82443653618031 31.34024533819453 9.027306564774856 27.97343320520822 2.076847239518472 43.41404358353509 43.35464384596021 52.884375 26.07438709461046 30.67010645940827 37.81635549732504 0.0 28.89227023737066 0.454484134921779 3.285714285714286 62.41310824230387 7.617736524083127 37.13977546110664 29.19470578855047 23.1798021885522 69.23700103107968 31.61251138779228 37.19313355125369 43.85185185185183 6.686405767250255 15.03527669139716 14.07136779940944 16.84215977352758 11.96792460629107 33.31951522943081 10.4765169694892 38.69716944552152 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Urugua y Zimbabwe

Percentage of Forest Land

Pollution Index

Forest Land

Frequency 0 8.582394943 17.16478989 25.74718483 34.32957977 42.91197471 51.49436966 60.0767646 68.65915954 More 1.0 13.0 16.0 11.0 16.0 10.0 7.0 7.0 5.0 3.0

Percentage of Land in Country

Frequency

Imports and Pollution Index

Pollution Index

52.88455764648332 14.83454382388666 48.04668713335449 21.1130718816735 49.9153039060763 26.86983825522196 55.78016627078385 26.75852798577922 64.02074212118615 81.41989834087304 66.32006485278139 53.05894951661206 15.03729244563518 73.791133905585 31.76802041250265 32.90159330750876 23.84827765383799 20.20653952263718 38.74855810057718 42.48019749496417 46.55768680217578 71.4415627003666 48.53299392014285 31.63372873124515 45.8104381448611 85.21847717036306 29.06307116988007 77.5811834638198 39.14354254722088 29.76505035986879 57.64138240482557 39.75386904338168 47.23504887707127 33.19209813744944 119.2065210192087 81.16752923708127 47.39417185038224 28.41099556268668 25.7389444391582 31.55089847756379 26.2773456610151 52.98038463061628 18.9910607171421 71.3100140875074 26.6959789512807 33.16646109789696 62.67022528581035 76.14674518794101 27.46565868421052 78.6110274348089 72.40307155025725 88.89851910518685 66.50693010911236 32.41067665098437 67.02756443561672 46.86093234233626 37.50932712922926 72.61029383169661 27.83219848952332 12.9845480762005 28.15734157753344 19.92771868760999 74.9666120423014 44.68372243928094 24.63411596191255 31.97719215807643 44.22142026843925 38.2805316199601 25.7899752301044 42.54333703058153 30.6355253134836 167.5080516042991 68.68089508462795 33.95618025686417 28.1472882181435 32.00083699663472 16.12927607508571 38.86775993447067 60.03438368819781 70.28119014582252 40.0017787038331 56.15942266258897 32.2058257118398 35.08542001587256 55.37458477412329 31.715074166726 16.52184803287194 27.27428897553814 56.96145292809488 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Ice land India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Imports (percentage of GDP)

Pollution Index

Imports

Frequency 12.98454808 30.15382625 47.32310442 64.49238259 81.66166076 98.83093893 116.0002171 133.1694953 150.3387734 More 1.0 24.0 29.0 15.0 16.0 2.0 0.0 1.0 0.0 1.0

Percentage of GDP

Frequency

Imports and Exports

52.88455764648332 14.83454382388666 48.04668713335449 21.1130718816735 49.9153039060763 26.86983825522196 55.78016627078385 26.75852798577922 64.02074212118615 81.41989834087304 66.32006485278139 53.05894951661206 15.03729244563518 73.791133905585 31.76802041250265 32.90159330750876 23.84827765383799 20.20653952263718 38.74855810057718 42.48019749496417 46.55768680217578 71.4415627003666 48.53299392014285 31.63372873124515 45.8104381448611 85.21847717036306 29.06307116988007 77.5811834638198 39.14354254722088 29.76505035986879 57.64138240482557 39.75386904338168 47.23504887707127 33.19209813744944 119.2065210192087 81.16752923708127 47.39417185038224 28.41099556268668 25.7389444391582 31.55089847756379 26.2773456610151 52.98038463061628 18.9910607171421 71.3100140875074 26.6959789512807 33.16646109789696 62.67022528581035 76.14674518794101 27.46565868421052 78.6110274348089 72.40307155025725 88.89851910518685 66.50693010911236 32.41067665098437 67.02756443561672 46.86093234233626 37.50932712922926 72.61029383169661 27.83219848952332 12.9845480762005 28.15734157753344 19.92771868760999 74.9666120423014 44.68372243928094 24.63411596191255 31.97719215807643 44.22142026843925 38.2805316199601 25.7899752301044 42.54333703058153 30.6355253134836 167.5080516042991 68.68089508462795 33.95618025686417 28.1472882181435 32.00083699663472 16.12927607508571 38.86775993447067 60.03438368819781 70.28119014582252 40.0017787038331 56.15942266258897 32.2058257118398 35.08542001587256 55.37458477412329 31.715074166726 16.52184803287194 27.27428897553814 56.96145292809488 35.05260028324917 14.5138448568907 26.9897904 806732 19.88265182676022 53.46616652598958 48.72392484950146 41.95 19.53787365195702 61.17831941464205 82.761716845607 60.85273034734931 31.96473911700778 12.55381268428206 65.72466812726161 30.08239421645758 32.55730292510222 26.41192341676326 17.82722005947592 35.13891508677028 42.94394717312613 40.11451474377326 77.203824524137 54.273420225796 29.18333881481227 26.39257021076627 86.08443443550281 12.4867053391636 58.79022969014365 38.17702306038014 28.28318478563761 44.68923235646066 45.56455287099392 42.16355530165171 30.22780341814754 84.62286857156718 88.76109732881431 55.72524056159781 24.81510434515693 23.74301170510867 32.92492288687152 28.55610956548381 30.42948794107163 16.15140129298854 42.4738285171214 38.24956190906193 17.72957071019175 58.84120712844651 62.5461148524159 67.38431166666665 77.13291933833145 81.67984652383163 93.60719676026242 54.30851819085378 31.7488279547765 45.14111874210535 33.6472305511858 10.70402914258943 82.94083699022012 29.65374524941404 18.04134413854564 38.87859839742845 13.21999119839378 79.78703136773436 49.37715821709642 23.73001296390837 27.91006401523445 46.10830467398132 39.25934633399302 71.66605456495747 41.98209475518934 51.78915632172605 190.5220540328566 74.69088891567119 31.1444040516706 31.55537509733783 22.47286390042737 9.577659871630967 43.78900106170014 72.14844508626621 73.5668992689124 63.15097384034863 46.99013104039921 25.64618578442296 23.73310333511002 46.86813326542633 29.84149904686972 13.49109320674376 24.00380103600184 29.48851000741288 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Imports (percentage of GDP)

Exports (percentage of GDP)

Exports and Pollution Index

Pollution Index

35.05260028324917 14.5138448568907 26.9897904806732 19.88265182676022 53.46616652598958 48.72392484950146 41.95 19.53787365195702 61.17831941464205 82.761716845607 60.85273034734931 31.96473911700778 12.55381268428206 65.72466812726161 30.08239421645758 32.55730292510222 26.41192341676326 17.82722005947592 35.13891508677028 42.94394717312613 40.11451474377326 77.203824524137 54.273420225796 29.18333881481227 26.39257021076627 86.08443443550281 12.4867053391636 58.79022969014365 38.17702306038014 28.28318478563761 44.68923235646066 45.56455287099392 42.16355530165171 30.22780341814754 84.62286857156718 88.76109732881431 55.72524056159781 24.81510434515693 23.74301170510867 32.92492288687152 28.55610956548381 30.42948794107163 16.15140129298854 42.4738285171214 38.24956190906193 17.72957071019175 58.84120712844651 62.5461148524159 67.38431166666665 77.13291933833145 81. 67984652383163 93.60719676026242 54.30851819085378 31.7488279547765 45.14111874210535 33.6472305511858 10.70402914258943 82.94083699022012 29.65374524941404 18.04134413854564 38.87859839742845 13.21999119839378 79.78703136773436 49.37715821709642 23.73001296390837 27.91006401523445 46.10830467398132 39.25934633399302 71.66605456495747 41.98209475518934 51.78915632172605 190.5220540328566 74.69088891567119 31.1444040516706 31.55537509733783 22.47286390042737 9.577659871630967 43.78900106170014 72.14844508626621 73.5668992689124 63.15097384034863 46.99013104039921 25.64618578442296 23.73310333511002 46.86813326542633 29.84149904686972 13.49109320674376 24.00380103600184 29.48851000741288 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Ice land India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Exports (percentage of GDP)

Pollution Index

Exports

Frequency 9.577659872 29.68259256 49.78752524 69.89245793 89.99739061 110.1023233 130.207256 150.3121887 170.4171213 More 1.0 28.0 32.0 13.0 13.0 1.0 0.0 0.0 0.0 1.0

Percentage of GDP

Frequency

Fossil Fuel Consumption

Frequency 5.724114818 16.19921317 26.67431153 37.14940988 47.62450823 58.09960659 68.57470494 79.04980329 89.52490165 More 1.0 2.0 3.0 4.0 2.0 9.0 8.0 17.0 17.0 26.0

Percentage of total energy

Frequency

Fossil Fuel Consumption and Pollution Index

Pollution Index

60.52689585 89.66696697 71.54126243 95.36779751999995 67.07715227 97.86252765 86 .0 71.52585830999996 90.3702399 70.09410307 71.0 93.91646937 54.56668309 26.22423718 73.69457158999998 75.64296907 88.30257160999997 75.59274363999998 48.26391813 81.59593959 94.89409483 76.85396676 70.58238696999997 86.28549412999998 47.87002440999998 88.14696089999998 5.724114817999995 49.0 43.03976228 49.1095992 72.80037417999996 80.18783599999998 37.37390732 90.57958760999998 100.0 71.12797344 15.27250818 72.30027841999997 66.42315665 96.69218638999997 83.72241119999995 82.09958938 94.78853058999998 95.9918514 98.9442786 19.71031282 63.68715109 95.52014106 98.73854426 74.04694220999998 94.47991174 94.51428078 82.0 90.10370984999997 95.37367889999996 93.59757675999998 12.54302393 91.44745084 61.43322269 17.39586957 57.27180465999999 60.89336378 79.70988459 33.80761819 75.98294020999998 59.66794844000001 90.68365018999998 74.91724082 100.0 77.66806278999998 99.99760143 97.2071931 66.58565479 87.23932476 75.88553836999996 48.65767072 29.51155156 31.74427190999999 51.07563775000001 80.43860057 99.93253108 85.25248662999998 89.50950557999998 94.0 79.63188172999997 85.08723105999998 83.55005183999995 57.01283323 28.29375288 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israe l Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Fossil Fuel Consumptions (percentage of total energy)

Pollution Index

Renewable Energy

Frequency 0 16.42721741 32.85443482 49.28165223 65.70886964 82.13608706 98.56330447 114.9905219 131.4177393 More 2.0 36.0 24.0 10.0 7.0 5.0 4.0 0.0 0.0 1.0

Percentage of total energy

Frequency

Renewable Energy Consumption and Pollution Index

Pollution Index

26.56383378 9.295287965 32.66394123 4.632201736 32.17653329 2.600981728 14.0 28.47414169 5.880189700999998 28.26372474 29.0 7.888293396 44.2481259 71.12475598999998 27.89825013999999 24.1646402 11.737611 24.824841 51.80445878 10.56037134 5.105820708999998 26.50510932 26.76724503 12.86325172 51.9029622 14.59279722 94.27588224999995 51.0 47.50230415 52.41154415 28.29928347 20.38880799 63.12336837 8.830121421999998 0.0 25.95742962 84.72752504 27.6368149 33.5768443 4.815703540999998 13.94140111 17.90044323999998 5.211469635 1.997031829 0.968619019 80.29181812 33.84129734 3.342120984 1.289179297 14.48771072 5.479303009 5.485719216999998 18.0 9.8555585110 00008 4.068468111 4.109936685 86.88591562 6.671365641 38.37153225 82.60413043 47.75267616 39.10663622 20.15453963 147.8449567 24.01455763 40.33204909 9.552269556 21.98440977 0.0 22.76655523 0.002398032 2.792809886 34.51116941999999 12.94767276 24.88700562 51.34233888 70.48844843999997 70.53008497 49.65939818 18.9091144 0.067468916 14.7746606 10.27687166 4.0 20.71150765 14.37432102 16.29966924 42.111563 70.29230421 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Renewable Energy Consumptions (percentage of total energy)

Pollution Index

Energy Consumption

60.52689585 89.66696697 71.54126243 95.36779751999995 67.07715227 97.86252765 86.0 71.52585830999996 90.3702399 70.09410307 71.0 93.91646937 54.56668309 26.22423718 73.69457158999998 75.64296907 88.30257160999997 75.59274363999998 48.26391813 81.59593959 94.89409483 76.85396676 70.58238696999997 86.28549412999998 47.87002440999998 88.14696089999998 5.724114817999995 49.0 43.03976228 49.1095992 72.80037417999996 80.18783599999998 37.37390732 90.57958760999998 100.0 71.12797344 15.27250818 72.30027841999997 66.42315665 96.69218638999997 83.72241119999995 82.09958938 94.78853058999998 95.9918514 98.9442786 19.71031282 63.68715109 95.52014106 98.73854426 74.04694220999998 94.47991174 94.51428078 82.0 90.10370984999997 95.37367889999 996 93.59757675999998 12.54302393 91.44745084 61.43322269 17.39586957 57.27180465999999 60.89336378 79.70988459 33.80761819 75.98294020999998 59.66794844000001 90.68365018999998 74.91724082 100.0 77.66806278999998 99.99760143 97.2071931 66.58565479 87.23932476 75.88553836999996 48.65767072 29.51155156 31.74427190999999 51.07563775000001 80.43860057 99.93253108 85.25248662999998 89.50950557999998 94.0 79.63188172999997 85.08723105999998 83.55005183999995 57.01283323 28.29375288 26.56383378 9.295287965 32.66394123 4.632201736 32.17653329 2.600981728 14.0 28.47414169 5.880189700999998 28.26372474 29.0 7.888293396 44.2481259 71.12475598999998 27.89825013999999 24.1646402 11.737611 24.824841 51.80445878 10.56037134 5.105820708999998 26.50510932 26.76724503 12.86325172 51.9029622 14.59279722 94.27588224999995 51.0 47.50230415 52.41154415 28.29928347 20.38880799 63.12336837 8.830121421999998 0.0 25.95742962 84.72752504 27.6368149 33.5768443 4.815703540999998 13.94140111 17.90044323999998 5.211469635 1.997031829 0.968619019 80.29181812 33.84129734 3.342120984 1.289179297 14.48771072 5.479303009 5.485719216999998 18.0 9.855558511000008 4.068468111 4.109936685 86.88591562 6.671365641 38.37153225 82.60413043 47.75267616 39.10663622 20.15453963 147.8449567 24.01455763 40.33204909 9.552269556 21.98440977 0.0 22.76655523 0.002398032 2.792809886 34.51116941999999 12.94767276 24.88700562 51.34233888 70.48844843999997 70.53008497 49.65939818 18.9091144 0.067468916 14.7746606 10.27687166 4.0 20.71150765 14.37432102 16.29966924 42.111563 70.29230421

Fossil Fuel Consumption (percentage)

Renewable Energy Consumption (percentage)

Median Age and Pollution Index

Pollution Index

31.6 31.2 33.7 38.3 44.3 30.1 31.2 24.3 39.4 43.1 21.8 40.8 30.7 24.1 41.7 33.3 36.7 28.9 30.0 42.1 35.7 40.9 41.6 26.7 25.6 41.2 17.6 27.9 43.2 40.9 37.7 46.1 20.8 43.5 25.0 41.1 36.4 27.0 29.2 29.9 44.5 24.9 46.1 21.8 29.7 19.1 41.4 29.3 27.5 41.2 27.7 40.9 33.9 27.3 27.1 28.1 22.9 42.1 37.6 18.2 39.1 22.6 28.3 26.8 27.0 23.5 39.5 41.1 32.6 39.8 26.4 33.8 43.5 25.7 41.6 31.8 19.1 41.2 42.0 36.2 34.4 31.4 29.6 15.5 40.6 40.4 37.6 34.3 20.2 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22 .97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

Median Age per Country

Pollution Index

Median Age

Frequency 15.5 18.9 22.3 25.7 29.1 32.5 35.9 39.3 42.7 More 1.0 2.0 6.0 9.0 13.0 13.0 8.0 8.0 21.0 8.0

Years

Frequency

Country Pollution Index Levels

9.85 21.40 32.95 44.50 56.05 67.59 79.14 90.69 102.24 More 1.0 4.0 11.0 11.0 14.0 17.0 10.0 15.0 5.0 1.0

Pollution Index Ranges

Frequency

Population

Frequency 323002 151107112.9 301891223.8 452675334.7 603459445.6 754243556.4 905027667.3 1055811778 1206595889 More 1.0 80.0 5.0 1.0 0.0 0.0 0.0 0.0 0.0 2.0

Total people per country

Frequency

Pollution and Population

87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 2.77362E6 4.1446246E7 2.976566E6 2.31309E7 8.473786E6 9.416598E6 377374.0 1.56594962E8 9.466E6 1.1195138E7 331900.0 3.829307E6 2.00361925E8 1.5135169E7 3.5158304E7 1.7619708E7 1.35738E9 4.8321405E7 4.872166E6 4.2527E6 1.141166E6 1.0521468E7 5.613706E6 1.5737878E7 6.340454E6 1.324612E6 9.4100756E7 881065.0 5.439407E6 6.6028467E7 4.4769E6 8.0621788E7 2.5904598E7 1.1032328E7 799613.0 9.897247E6 323002.0 1.252139596E9 2.49865631E8 8.0594E6 5.9831093E7 2.715E6 1.27338621E8 6.459E6 1.7037508E7 4.4353691E7 2.013385E6 4.46739E6 6.201521E6 2.956121E6 2.9716965E7 423282.0 1.296303E6 1.22332399E8 2.839073E6 3.300815E7 2.7797457E7 1.6804224E7 4.4708E6 1.73615345E8 5.08419E6 1.82142594E8 3.86417E6 6.802295E6 3.0375603E7 9.8393574E7 3.8530725E 7 1.0459806E7 2.168673E6 1.9963581E7 2.882887E7 5.3992E6 2.060484E6 5.2981991E7 4.6647421E7 2.0483E7 3.7964306E7 9.592552E6 8.081482E6 6.7010502E7 1.341151E6 1.08865E7 7.4932641E7 3.7578876E7 4.54896E7 6.4097085E7 3.16128839E8 3.407062E6 1.4149648E7

Pollution Index

Population

CO2 Emissions and Pollution Index

Pollution Index 1.49931616254293 4.470964989940116 1.424235767485429 16.93373124302144 7.973648029248952 5.050748857011206 6.835610738478437 0.37156390079171 6.556549631190728 9.976543624554407 1.36653218619874 8.093102082747757 2.150268043946116 0.291012884085555 14.67823408804175 4.213121459340577 6.194857574726861 1.629451504988783 1.664003674766071 4.727161667814678 6.983907546084252 10.66903290972952 8.346404976636195 2.175597850606944 1.004884536428 98 13.77319664282093 0.0745649698288476 1.49993666907208 11.53084022827515 5.556065562011751 1.401642561983471 9.114841508479225 0.370887965952629 7.774920307198109 2.164396038294116 5.058248166029218 6.168528585937032 1.666209247075712 1.803206698818125 9.26803032687969 6.854334881022226 2.660145739743662 9.185650865329566 3.44380185246444 15.23926775230904 0.303781663359097 3.63106521640672 4.700012807837289 9.773021839508977 4.378214834813233 7.667467326782744 6.24572263985255 3.214898776195934 3.763572235183287 4.243208522164692 1.599383453067344 0.139872076363212 10.95836493555314 7.223514812949308 0.494090976657493 11.69644456861704 0.932118497777866 2.619052137391628 0.785657461057528 1.967657741920381 0.873148290379805 8.308632040549886 4.952293367129791 40.31008399663256 3.889250739040119 17.03991344021933 2.663192428152146 7.482274333038982 9.040531461028395 5.789884349745326 0.615398344066237 0.310858606567759 5.599744234615744 4.952967887549875 4.446855558471785 38.16113079260144 2.453102065579054 4.131030767251216 0.111346111256607 6.644867137410155 7.862568749998505 17.56415999486885 1.970533650535501 0.720950742595117 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe Pollution Index 1.49931616254293 4.470964989940116 1.424235767485429 16.93373124302144 7.973648029248952 5.050748857011206 6.835610738478437 0.37156390079171 6.556549631190728 9.976543624554407 1.36653218619874 8.093102082747757 2.150268043946116 0.291012884085555 14.67823408804175 4.213121459340577 6.194857574726861 1.629451504988783 1.664003674766071 4.727161667814678 6.983907546084252 10.66903290972952 8.346404976636195 2.175597850606944 1.00488453642898 13.77319664282093 0.0745649698288476 1.49993666907208 11.53084022827515 5.556065562011751 1.401642561983471 9.114841508479225 0.370887965952629 7.774920307198109 2.164396038294116 5.058248166029218 6.168528585937032 1.666209247075712 1.803206698818125 9.26803032687969 6.854334881022226 2.660145739743662 9.185650865329566 3.44380185246444 15.23926775230904 0.303781663359097 3.63106521640672 4.700012807837289 9.773021839508977 4.378214834813233 7.667467326782744 6.24572263985255 3.214898776195934 3.763572235183287 4.243208522164692 1.599383453067344 0.139872076363212 10.95836493555314 7.223514812949308 0.494090976657493 11.69644456861704 0.932118497777866 2.619052137391628 0.785657461057528 1.967657741920381 0.873148290379805 8.308632040549886 4.952293367129791 40.31008399663256 3.889250739040119 17.03991344021933 2.663192428152146 7.482274333038982 9.040531461028395 5.789884349745326 0.615398344066237 0.310858606567759 5.599744234615744 4.952967887549875 4.446855558471785 38.16113079260144 2.453102065579054 4.131030767251216 0.111346111256607 6.644867137410155 7.862568749998505 17.56415999486885 1.970533650535501 0.720950742595117 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.23000000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe Pollution Index

1.49931616254293 4.470964989940116 1.424235767485429 16.93373124302144 7.973648029248952 5.050748857011206 6.835610738478437 0.37156390079171 6.556549631190728 9.976543624554407 1.36653218619874 8.093102082747757 2.150268043946116 0.291012884085555 14.67823408804175 4.213121459340577 6.194857574726861 1.629451504988783 1.664003674766071 4.727161667814678 6.983907546084252 10.66903290972952 8.346404976636195 2.175597850606944 1.00488453642898 13.77319664282093 0.0745649698288476 1.49993666907208 11.53084022827515 5.556065562011751 1.401642561983471 9.114841508479225 0.370887965952629 7.774920307198109 2.164396038294116 5.058248166029218 6.168528585937032 1.666209247075712 1.803206698818125 9.26803032687969 6.854334881022226 2.660145739743662 9.185650865329566 3.44380185246444 15.23926775230904 0.303781663359097 3.63106521640672 4.700012807837289 9.773021839508977 4.378214834813233 7.667467326782744 6.24572263985255 3.214898776195934 3.763572235183287 4.243208522164692 1.599383453067344 0.139872076363212 10.95836493555314 7.223514812949308 0.494090976657493 11.69644456861704 0.932118497777866 2.619052137391628 0.785657461057528 1.967657741920381 0.873148290379805 8.308632040549886 4.952293367129791 40.31008399663256 3.889250739040119 17.03991344021933 2.663192428152146 7.482274333038982 9.040531461028395 5.789884349745326 0.615398344066237 0.310858606567759 5.599744234615744 4.952967887549875 4.446855558471785 38.16113079260144 2.453102065579054 4.131030767251216 0.111346111256607 6.644867137410155 7.862568749998505 17.56415999486885 1.970533650535501 0.720950742595117 87.36 87.36 77.3 20.89 28.81 71.55 85.06 96.93 36.2300 0000000001 49.63 46.55 67.63 56.5 66.38 26.52 74.2 89.35 68.26 49.82 42.0 56.44 40.1 34.29 58.55 93.1 16.38 60.06 55.26 18.53 41.3 64.83 28.43 113.79 62.69 78.74 53.27 9.85 77.48 85.14 59.54 58.86 96.84 33.68 54.6 79.6 53.45 38.79 88.05 56.98 25.17 67.35 71.19 38.36 66.08 88.97 80.25 83.37 28.08 21.8 94.83 23.35 86.96 48.08 51.55 97.17999999999998 74.84 50.02 35.0 82.76 63.34 80.55 49.5 28.17 58.99 46.52 88.17999999999998 53.91 18.79 22.97 72.12 86.78 65.93 82.0 41.95 67.28 36.02 32.53 30.46 63.05 Population Albania Argentina Armenia Australia Austria Azerbaijan Bahamas Bangladesh Belarus Belgium Belize Bosnia And Herzegovina Brazil Cambodia Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador El Salvador Estonia Ethiopia Fiji Finland France Georgia Germany Ghana Greece Guyana Hungary Iceland India Indonesia Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Latvia Lebanon Libya Lithuania Malaysia Malta Mauritius Mexico Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Saudi Arabia Singapore Slovenia South Africa Spain Sri Lanka Sudan Sweden Switzerland Thailand Trinidad And Tobago Tunisia Turkey Uganda Ukraine United Kingdom United States Uruguay Zimbabwe

CO2 Emissions (metric ton per capita)

Pollution Index