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Question: How much of your past work experience and /or job skills can you make use of in your present job?
Choices: "Almost none" "A little" "A lot" "Almost all"
Data: % of "A lot" "Almost all"
Period:
Area:
37 countries/ areas
Highlight:
1 Sweden89.5%
2 Switzerland81.4%
3 Germany80.5%
4 Denmark80.0%
5 New Zealand78.2%
6 Australia77.2%
7 Austria76.7%
8 Norway74.3%
9 Slovenia73.8%
10 United Kingdom72.4%
11 United States71.0%
12 Chile68.9%
13 Iceland68.6%
14 Finland67.3%
15 Czech Republic64.8%
16 Latvia64.3%
17 France63.7%
18 Israel63.3%
19 Belgium62.6%
20 Estonia61.1%
21 Hungary60.9%
22 Slovakia60.8%
23 Spain55.9%
24 Georgia55.3%
24 Japan 55.3%
26 Suriname54.3%
27 Poland53.1%
28 Croatia52.6%
29 Lithuania52.1%
30 Mexico51.2%
31 China50.8%
32 South Africa49.9%
33 Philippines48.3%
34 Taiwan47.2%
35 Russian Federation39.5%
36 India31.0%
37 Venezuela30.7%

Note
% among those who work currently. Can't choose/ No answer are excluded.

No data for 201 countries.

Source
ISSP 2015

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data36
Regression equation
Y = 4.004903 X +4.026
Correlation coefficient (r)0.754
Coefficient of determination (R2)0.569

GDP per capita (current US$)
No. of data37
Regression equation
Y = 140838.647505 X -51505.228
Correlation coefficient (r)0.741
Coefficient of determination (R2)0.549

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = 30.413537 X +58.496
Correlation coefficient (r)0.734
Coefficient of determination (R2)0.539

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = -0.723719 X +2.180
Correlation coefficient (r)-0.250
Coefficient of determination (R2)0.062

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = -2.967941 X +12.997
Correlation coefficient (r)-0.077
Coefficient of determination (R2)0.006