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Question: How important do you personally think good opportunities for advancement is in a job?
Choices: "Very important" "Important" "Neither important nor unimportant" "Not important" "Not important at all"
Data: % of "Very important"
Period:
Area:
37 countries/ areas
Highlight:
1 Venezuela87.9%
2 Mexico60.1%
3 Suriname55.1%
4 United States49.6%
5 Philippines49.4%
6 Chile48.3%
7 South Africa45.7%
8 India44.9%
9 Georgia44.0%
10 Israel42.8%
11 Spain38.8%
12 Russian Federation35.2%
13 Iceland32.3%
14 Austria29.5%
15 Croatia28.9%
16 Latvia28.8%
17 Poland28.4%
18 United Kingdom26.5%
19 France25.4%
20 Taiwan24.5%
21 Hungary23.9%
22 Lithuania23.6%
23 Slovenia23.0%
24 Australia22.2%
25 New Zealand21.1%
26 Belgium20.7%
27 Slovakia20.5%
28 Estonia19.9%
29 China18.7%
30 Switzerland16.3%
31 Czech Republic15.4%
32 Germany14.2%
33 Sweden11.0%
34 Finland 9.1%
35 Denmark8.3%
36 Norway7.6%
37 Japan5.3%

Note
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 = -2.908862 X +7.322
Correlation coefficient (r)-0.560
Coefficient of determination (R2)0.314

GDP per capita (current US$)
No. of data37
Regression equation
Y = -80638.790543 X +59096.615
Correlation coefficient (r)-0.555
Coefficient of determination (R2)0.308

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -16.322031 X +83.105
Correlation coefficient (r)-0.602
Coefficient of determination (R2)0.362

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.327069 X +1.325
Correlation coefficient (r)0.627
Coefficient of determination (R2)0.393

Suicide - all ages (per 100,000 population)
No. of data36
Regression equation
Y = -8.842146 X +16.153
Correlation coefficient (r)-0.260
Coefficient of determination (R2)0.068