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Period:
Area:
10 countries/ areas
Highlight:
1 Germany63.22012/13
2 France 58.12009/10
3 Italy57.82013/14
4 Sweden56.02010
5 Canada53.92015
6 United Kingdom52.72014/15
7 Republic of Korea46.32014
8 Australia46.02006
9 United States44.92019
10 Japan18.42016

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 = 0.015770 X +5.870
Correlation coefficient (r)0.478
Coefficient of determination (R2)0.228

GDP per capita (current US$)
No. of data10
Regression equation
Y = 156.271847 X +41159.201
Correlation coefficient (r)0.136
Coefficient of determination (R2)0.018

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.040588 X +84.018
Correlation coefficient (r)-0.221
Coefficient of determination (R2)0.049

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.006999 X +1.131
Correlation coefficient (r)0.296
Coefficient of determination (R2)0.088

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.141487 X +18.136
Correlation coefficient (r)-0.386
Coefficient of determination (R2)0.149