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Period:
Area:
10 countries/ areas
Highlight:
1 Republic of Korea72.42014
2 Japan54.02016
3 United Kingdom48.82014/15
4 Sweden33.02010
5 Canada32.62015
5 Germany32.62012/13
7 Australia31.12006
8 Italy26.72013/14
9 France 26.32009/10
10 United States25.92019

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 = -0.015975 X +7.267
Correlation coefficient (r)-0.590
Coefficient of determination (R2)0.348

GDP per capita (current US$)
No. of data10
Regression equation
Y = -530.143898 X +69256.317
Correlation coefficient (r)-0.561
Coefficient of determination (R2)0.315

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.057284 X +79.804
Correlation coefficient (r)0.380
Coefficient of determination (R2)0.144

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.015010 X +2.054
Correlation coefficient (r)-0.772
Coefficient of determination (R2)0.596

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = 0.182631 X +4.098
Correlation coefficient (r)0.607
Coefficient of determination (R2)0.368