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Question: Whether the job requires supervising others ? how important do you think that ought to be in deciding pay?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important" "Fairly important"
Period:
Area:
20 countries/ areas
Highlight:
1 Australia96.0%
2 New Zealand95.8%
3 United States95.4%
4 Slovenia93.1%
5 Switzerland92.6%
6 Chile92.2%
7 France91.9%
8 Canada91.4%
9 Latvia91.0%
10 Portugal90.3%
11 Norway89.7%
12 Poland89.6%
13 Hungary89.2%
14 Spain89.0%
15 Israel88.2%
16 Slovakia87.6%
17 Czech Republic87.2%
18 Austria86.5%
19 Germany84.6%
20 Japan 71.8%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 18 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data20
Regression equation
Y = 2.417369 X +4.495
Correlation coefficient (r)0.333
Coefficient of determination (R2)0.111

Life satisfaction (10 steps)
No. of data20
Regression equation
Y = 2.370481 X +4.505
Correlation coefficient (r)0.322
Coefficient of determination (R2)0.104

Life satisfaction (10 steps)
No. of data20
Regression equation
Y = 2.861656 X +4.086
Correlation coefficient (r)0.363
Coefficient of determination (R2)0.132

GDP per capita (current US$)
No. of data20
Regression equation
Y = 124695.484220 X -64960.536
Correlation coefficient (r)0.268
Coefficient of determination (R2)0.072

Life expectancy at birth - Both sexes (years)
No. of data20
Regression equation
Y = -4.639309 X +85.344
Correlation coefficient (r)-0.096
Coefficient of determination (R2)0.009

Fertility rate, total (births per woman)
No. of data20
Regression equation
Y = 0.850060 X +0.703
Correlation coefficient (r)0.123
Coefficient of determination (R2)0.015

Suicide, age-standardized (per 100 000 population)
No. of data20
Regression equation
Y = -3.046641 X +12.827
Correlation coefficient (r)-0.058
Coefficient of determination (R2)0.003