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Question: To what extent do you agree or disagree with the following statements? - In order to avoid unemployment I would be willing to accept a job that requires new skills.
Choices: "Strongly agree" "Agree" "Neither agree nor disagree" "Disagree" "Strongly disagree"
Data: % of "Strongly agree" "Agree"
Period:
Area:
31 countries/ areas
Highlight:
1 Switzerland92.8%
2 Australia90.0%
3 Dominican Republic89.9%
4 Germany89.5%
5 Norway87.8%
5 Slovenia87.8%
7 New Zealand87.5%
8 Ireland87.2%
9 United States86.5%
10 Mexico86.0%
11 France85.9%
12 Sweden84.7%
12 United Kingdom84.7%
14 Latvia83.8%
15 South Africa83.6%
16 Finland83.4%
17 Denmark81.5%
18 Israel81.0%
19 Canada79.7%
20 Czech Republic79.1%
21 Portugal76.6%
22 Russian Federation75.7%
23 Bulgaria74.8%
24 Taiwan74.0%
25 Belgium73.9%
25 Spain73.9%
27 Cyprus71.0%
28 Republic of Korea69.7%
29 Philippines66.1%
30 Hungary65.3%
31 Japan 58.1%

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

No data for 207 countries.

Source
ISSP 2005

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = 3.346533 X +3.893
Correlation coefficient (r)0.469
Coefficient of determination (R2)0.220

GDP per capita (current US$)
No. of data31
Regression equation
Y = 149904.320176 X -78387.004
Correlation coefficient (r)0.466
Coefficient of determination (R2)0.217

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 5.629500 X +74.237
Correlation coefficient (r)0.084
Coefficient of determination (R2)0.007

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.867820 X +0.986
Correlation coefficient (r)0.170
Coefficient of determination (R2)0.029

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -0.560834 X +11.027
Correlation coefficient (r)-0.009
Coefficient of determination (R2)0.000