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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:
29 countries/ areas
Highlight:
1 Philippines46.9%
2 South Africa38.9%
3 Austria24.6%
4 Croatia22.6%
5 Germany21.8%
6 Suriname19.2%
7 Czech Republic17.6%
7 Italy17.6%
9 Bulgaria16.9%
10 Thailand16.2%
11 Chile14.4%
12 Slovenia13.7%
12 Taiwan13.7%
14 United States12.8%
15 Norway12.1%
15 Russian Federation12.1%
17 Iceland11.3%
18 New Zealand11.1%
19 Israel8.6%
20 Sweden7.9%
21 France7.5%
22 Lithuania7.1%
23 United Kingdom6.6%
24 Australia6.5%
25 Finland 5.9%
26 Switzerland5.0%
27 Japan4.8%
28 Denmark3.7%
29 Venezuela3.1%

Note
Can't choose/ No answer are excluded.

No data for 209 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data28
Regression equation
Y = -2.988253 X +7.055
Correlation coefficient (r)-0.380
Coefficient of determination (R2)0.144

GDP per capita (current US$)
No. of data29
Regression equation
Y = -121834.722782 X +56237.346
Correlation coefficient (r)-0.465
Coefficient of determination (R2)0.216

Life expectancy at birth - Both sexes (years)
No. of data28
Regression equation
Y = -28.546179 X +82.842
Correlation coefficient (r)-0.579
Coefficient of determination (R2)0.335

Fertility rate, total (births per woman)
No. of data28
Regression equation
Y = 1.357838 X +1.520
Correlation coefficient (r)0.350
Coefficient of determination (R2)0.122

Suicide - all ages (per 100,000 population)
No. of data28
Regression equation
Y = 0.444447 X +13.319
Correlation coefficient (r)0.007
Coefficient of determination (R2)0.000