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Question: In deciding on pay for two people doing the same kind of work, how important should be how long the person has been with the firm?
Choices: "Essential" "Very important" "Fairly important" "Not important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important" "Fairly important"
Period:
Area:
25 countries/ areas
Highlight:
1 Philippines97.6%
2 Bangladesh90.2%
2 Cyprus90.2%
4 Spain89.2%
5 Poland85.8%
6 Israel83.3%
6 Uruguay83.3%
8 Italy82.9%
9 Norway81.1%
10 Slovenia79.4%
11 Portugal78.1%
12 Hungary76.0%
13 Bulgaria75.8%
14 Canada70.0%
15 Russian Federation69.9%
16 Netherlands68.7%
17 France68.4%
18 United States68.0%
19 Germany67.0%
20 New Zealand66.8%
21 Switzerland66.0%
22 Czech Republic64.9%
23 Syrian Arab Republic64.4%
24 Japan 59.3%
25 Denmark54.0%

Note
Can't choose Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 213 countries.

Source
ISSP 1997

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -3.077451 X +8.800
Correlation coefficient (r)-0.435
Coefficient of determination (R2)0.189

GDP per capita (current US$)
No. of data24
Regression equation
Y = -110903.344815 X +123542.160
Correlation coefficient (r)-0.454
Coefficient of determination (R2)0.206

Life expectancy at birth - Both sexes (years)
No. of data25
Regression equation
Y = -11.263213 X +87.191
Correlation coefficient (r)-0.253
Coefficient of determination (R2)0.064

Fertility rate, total (births per woman)
No. of data25
Regression equation
Y = 0.453180 X +1.356
Correlation coefficient (r)0.105
Coefficient of determination (R2)0.011

Suicide, age-standardized (per 100 000 population)
No. of data25
Regression equation
Y = -14.326418 X +19.858
Correlation coefficient (r)-0.328
Coefficient of determination (R2)0.108