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Question: Thinking about your neighbourhood, to what extent, if at all, was it affected by the following things over the last twelve months? - Extreme weather events (such as severe storms, droughts, floods, heat waves, cold snaps, etc.)
Choices: "not at all" "to a small extent" "to some extent" "to a great extent" "to a very great extent"
Data: % of "to a great extent" "to a very great extent"
Period:
Area:
28 countries/ areas
Highlight:
1 Spain30.1%
2 Hungary28.8%
3 Croatia28.3%
4 Philippines28.0%
5 Slovenia25.5%
6 India20.1%
7 Slovakia18.8%
8 South Africa18.4%
9 Taiwan17.9%
10 United States17.7%
11 Australia17.6%
12 Germany17.1%
13 Republic of Korea16.8%
14 Russian Federation16.0%
15 Italy13.6%
16 Japan 13.3%
17 France13.0%
18 Switzerland11.5%
19 New Zealand11.4%
20 China11.2%
21 Finland10.5%
22 Iceland9.6%
23 Austria9.1%
24 Denmark7.9%
25 Lithuania7.0%
25 Thailand7.0%
27 Norway6.2%
28 Sweden3.5%

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 = -4.903229 X +7.263
Correlation coefficient (r)-0.471
Coefficient of determination (R2)0.222

GDP per capita (current US$)
No. of data28
Regression equation
Y = -174474.493651 X +66585.547
Correlation coefficient (r)-0.473
Coefficient of determination (R2)0.224

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -28.593617 X +83.045
Correlation coefficient (r)-0.365
Coefficient of determination (R2)0.133

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 1.275250 X +1.400
Correlation coefficient (r)0.256
Coefficient of determination (R2)0.066

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -6.102030 X +12.540
Correlation coefficient (r)-0.089
Coefficient of determination (R2)0.008