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Question: How important is having a good education yourself 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 Germany92.1%
2 Poland91.7%
3 United States88.0%
4 Turkiye81.9%
5 Australia80.7%
6 Chile79.6%
7 Estonia78.6%
8 Austria78.5%
9 Switzerland75.8%
10 Italy75.2%
11 United Kingdom74.9%
12 Latvia73.8%
13 Belgium72.9%
14 New Zealand71.9%
15 Israel71.6%
16 Slovakia70.9%
17 Iceland70.4%
18 Slovenia70.2%
19 Spain69.5%
20 France65.9%
21 Sweden64.2%
22 Lithuania62.2%
23 Denmark58.8%
24 Portugal58.0%
25 Republic of Korea57.7%
26 Hungary53.9%
27 Finland53.5%
28 Norway50.0%
29 Czech Republic48.2%
30 Japan 36.7%

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 = -0.336638 X +6.952
Correlation coefficient (r)-0.066
Coefficient of determination (R2)0.004

GDP per capita (current US$)
No. of data30
Regression equation
Y = -5924.709542 X +47058.266
Correlation coefficient (r)-0.036
Coefficient of determination (R2)0.001

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -5.183242 X +84.089
Correlation coefficient (r)-0.248
Coefficient of determination (R2)0.062

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.408775 X +1.288
Correlation coefficient (r)0.163
Coefficient of determination (R2)0.027

Suicide - all ages (per 100,000 population)
No. of data30
Regression equation
Y = -10.962847 X +21.091
Correlation coefficient (r)-0.260
Coefficient of determination (R2)0.068