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Question: Which problem, if any, do you think is the most important for your country as a whole?
Choices: "Air pollution" "Chemicals and pesticides" "Water shortage" "Water pollution" "Nuclear waste" "Domestic waste disposal" "Climate change" "Genetically modified foods" "Using up our natural resources" "None of these"
Data: % of "Using up our natural resources"
Period:
Area:
28 countries/ areas
Highlight:
1 Slovakia17.0%
2 Switzerland15.8%
3 Iceland13.9%
4 Sweden13.8%
5 France13.5%
6 Finland13.0%
7 Croatia12.6%
7 Norway12.6%
9 Germany12.1%
10 Spain11.0%
11 Russian Federation10.9%
12 Denmark10.8%
13 United States10.7%
14 Philippines10.3%
15 Austria10.0%
16 Australia9.4%
17 India8.8%
17 Italy8.8%
19 Lithuania8.3%
20 New Zealand7.1%
20 Slovenia7.1%
22 Hungary6.7%
22 Thailand6.7%
24 Taiwan5.8%
25 Japan 4.8%
26 China3.8%
27 South Africa3.6%
28 Republic of Korea2.7%

Note
Can't choose/ No answer are excluded.

No data for 210 countries.

Source
ISSP 2020

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data28
Regression equation
Y = 8.859281 X +5.641
Correlation coefficient (r)0.430
Coefficient of determination (R2)0.185

GDP per capita (current US$)
No. of data28
Regression equation
Y = 349214.178785 X +5549.832
Correlation coefficient (r)0.478
Coefficient of determination (R2)0.228

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 32.574827 X +75.412
Correlation coefficient (r)0.206
Coefficient of determination (R2)0.042

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 2.030291 X +1.398
Correlation coefficient (r)0.202
Coefficient of determination (R2)0.041

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -44.100398 X +15.937
Correlation coefficient (r)-0.319
Coefficient of determination (R2)0.102