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Question: The number of years spent in education and training ? 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"
Period:
Area:
28 countries/ areas
Highlight:
1 Venezuela93.7%
2 Suriname80.6%
3 Bulgaria74.9%
4 Philippines74.4%
5 Chile73.3%
6 Italy70.2%
7 South Africa67.0%
8 Israel65.7%
9 Croatia65.6%
10 Thailand64.7%
11 Taiwan62.4%
12 Austria59.9%
13 Russian Federation58.7%
14 Iceland56.5%
14 United States56.5%
16 Lithuania56.3%
17 New Zealand55.2%
18 Germany52.5%
19 United Kingdom48.3%
20 Czech Republic47.7%
20 Norway47.7%
20 Slovenia47.7%
23 Australia45.7%
24 Sweden41.2%
25 Switzerland39.4%
26 France37.0%
27 Finland27.6%
28 Japan 22.7%

Note
Can't choose/ No answer are excluded.

No data for 210 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -2.321465 X +7.892
Correlation coefficient (r)-0.565
Coefficient of determination (R2)0.319

GDP per capita (current US$)
No. of data28
Regression equation
Y = -96763.633256 X +93739.694
Correlation coefficient (r)-0.561
Coefficient of determination (R2)0.315

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -22.913854 X +91.209
Correlation coefficient (r)-0.634
Coefficient of determination (R2)0.402

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 1.182901 X +1.073
Correlation coefficient (r)0.442
Coefficient of determination (R2)0.195

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -4.780945 X +13.910
Correlation coefficient (r)-0.131
Coefficient of determination (R2)0.017