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Period:
Area:
10 countries/ areas
Highlight:
1 France 97.42009/10
2 Canada95.42015
3 Australia93.32006
4 Sweden93.02010
5 Germany80.52012/13
6 United States78.02019
7 United Kingdom74.62014/15
8 Italy63.62013/14
9 Republic of Korea22.52014
10 Japan14.12016

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 = 0.011844 X +5.811
Correlation coefficient (r)0.858
Coefficient of determination (R2)0.736

GDP per capita (current US$)
No. of data10
Regression equation
Y = 301.795118 X +27430.716
Correlation coefficient (r)0.627
Coefficient of determination (R2)0.393

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.023831 X +83.698
Correlation coefficient (r)-0.310
Coefficient of determination (R2)0.096

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.007936 X +0.914
Correlation coefficient (r)0.801
Coefficient of determination (R2)0.642

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.067712 X +15.924
Correlation coefficient (r)-0.441
Coefficient of determination (R2)0.194