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Period:
Area:
10 countries/ areas
Highlight:
1 Germany27.22012/13
2 United Kingdom23.32014/15
3 Italy23.02013/14
4 Australia22.12006
5 Sweden20.02010
6 Canada18.92015
7 France 18.32009/10
8 United States17.42019
9 Japan15.22016
10 Republic of Korea6.82014

Note
Data are normalized to 1440 minutes per day. In other words, for those countries for which the time use does not sum up to 1440 minutes, the missing minutes are equally distributed across all activities. The range of age and the classification of activities may differ across countries: the assignment of time allocated to the activity categories defined by the OECD can only be approximated in some countries where highly detailed data are not available. Caution is thus needed in cross-country comparisons whenever the differences in minutes are not large.

Source
OECD, Time Use Database

Original source
OECD estimates based on national time use surveys. Methodological documentation on national time-use surveys used for the estimates is in Miranda V. (2011) "Cooking, Caring and Volunteering: Unpaid Work Around the World", Miranda, V. (2011), "Cooking, Caring and Volunteering: Unpaid Work Around the World", OECD Social, Employment and Migration Working Papers, No. 116, OECD Publishing. doi: 10.1787/5kghrjm8s142-en.

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data10
Regression equation
Y = 0.039474 X +5.896
Correlation coefficient (r)0.531
Coefficient of determination (R2)0.282

GDP per capita (current US$)
No. of data10
Regression equation
Y = 717.635336 X +35137.649
Correlation coefficient (r)0.277
Coefficient of determination (R2)0.077

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.088966 X +83.710
Correlation coefficient (r)-0.215
Coefficient of determination (R2)0.046

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.033962 X +0.826
Correlation coefficient (r)0.636
Coefficient of determination (R2)0.404

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.712181 X +24.788
Correlation coefficient (r)-0.862
Coefficient of determination (R2)0.743