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Period:
Area:
10 countries/ areas
Highlight:
1 France97.42009/10
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 Japan 14.12016

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 = 0.014276 X +5.748
Correlation coefficient (r)0.892
Coefficient of determination (R2)0.796

GDP per capita (current US$)
No. of data10
Regression equation
Y = 250.453685 X +31890.979
Correlation coefficient (r)0.637
Coefficient of determination (R2)0.406

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.028698 X +83.934
Correlation coefficient (r)-0.436
Coefficient of determination (R2)0.190

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.006962 X +0.966
Correlation coefficient (r)0.753
Coefficient of determination (R2)0.567

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = -0.102653 X +21.283
Correlation coefficient (r)-0.515
Coefficient of determination (R2)0.265