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Question: How important is a person's race for getting ahead in life?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
30 countries/ areas
Highlight:
1 Hungary29.2%
2 Israel23.2%
3 Slovakia18.4%
4 Czech Republic17.6%
5 Austria17.5%
6 Germany16.7%
7 Turkiye16.3%
8 Norway14.2%
9 Chile12.3%
10 Italy12.2%
11 Belgium11.9%
12 Estonia11.8%
13 United States11.2%
14 Slovenia10.7%
15 Spain10.5%
16 Portugal10.2%
17 Poland10.1%
18 France9.5%
19 Iceland9.0%
20 United Kingdom8.7%
21 Switzerland8.6%
22 Republic of Korea8.2%
23 Australia7.6%
24 Lithuania7.5%
25 Sweden7.4%
26 Denmark6.3%
27 Latvia5.8%
28 New Zealand5.4%
29 Japan4.8%
30 Finland 4.1%

Note
Can't choose/ No answer are excluded. Belgium: unweighted sum of Flanders and Wallony. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -2.625546 X +6.990
Correlation coefficient (r)-0.254
Coefficient of determination (R2)0.065

GDP per capita (current US$)
No. of data30
Regression equation
Y = -76962.426589 X +52233.089
Correlation coefficient (r)-0.184
Coefficient of determination (R2)0.034

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -19.980774 X +82.487
Correlation coefficient (r)-0.329
Coefficient of determination (R2)0.108

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 2.587342 X +1.291
Correlation coefficient (r)0.420
Coefficient of determination (R2)0.176

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -24.655692 X +13.427
Correlation coefficient (r)-0.332
Coefficient of determination (R2)0.110