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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 Finland5.9%
26 Switzerland5.0%
27 Japan 4.8%
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 = -2.921747 X +7.035
Correlation coefficient (r)-0.452
Coefficient of determination (R2)0.204

GDP per capita (current US$)
No. of data29
Regression equation
Y = -122084.616836 X +56974.348
Correlation coefficient (r)-0.442
Coefficient of determination (R2)0.195

Life expectancy at birth - Both sexes (years)
No. of data28
Regression equation
Y = -33.012761 X +83.007
Correlation coefficient (r)-0.580
Coefficient of determination (R2)0.336

Fertility rate, total (births per woman)
No. of data28
Regression equation
Y = 1.664808 X +1.507
Correlation coefficient (r)0.398
Coefficient of determination (R2)0.158

Suicide, age-standardized (per 100 000 population)
No. of data28
Regression equation
Y = 4.302225 X +10.463
Correlation coefficient (r)0.075
Coefficient of determination (R2)0.006