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Period:
Area:
10 countries/ areas
Highlight:
1 United States143.72019
2 Australia140.12006
3 United Kingdom133.32014/15
4 Germany118.52012/13
5 France113.82009/10
6 Sweden113.32010
7 Canada109.42015
8 Italy103.72013/14
9 Japan 103.22016
10 Republic of Korea102.02014

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 = 0.018631 X +4.565
Correlation coefficient (r)0.604
Coefficient of determination (R2)0.365

GDP per capita (current US$)
No. of data10
Regression equation
Y = 604.857422 X -21700.362
Correlation coefficient (r)0.799
Coefficient of determination (R2)0.638

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.081260 X +91.487
Correlation coefficient (r)-0.641
Coefficient of determination (R2)0.411

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.009973 X +0.284
Correlation coefficient (r)0.560
Coefficient of determination (R2)0.314

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = -0.094336 X +25.111
Correlation coefficient (r)-0.246
Coefficient of determination (R2)0.061