Tweet
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 States 49.6%
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 Finland9.1%
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 = -2.088002 X +7.121
Correlation coefficient (r)-0.479
Coefficient of determination (R2)0.229

GDP per capita (current US$)
No. of data37
Regression equation
Y = -75936.883165 X +59769.172
Correlation coefficient (r)-0.508
Coefficient of determination (R2)0.258

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -18.402754 X +83.625
Correlation coefficient (r)-0.616
Coefficient of determination (R2)0.379

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.424778 X +1.227
Correlation coefficient (r)0.613
Coefficient of determination (R2)0.376

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = -2.982562 X +12.046
Correlation coefficient (r)-0.098
Coefficient of determination (R2)0.010