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Period:
Area:
10 countries/ areas
Highlight:
1 United States531.02019
2 Canada520.02015
3 Italy513.32013/14
4 France 513.02009/10
5 Australia512.42006
6 United Kingdom508.12014/15
7 Germany498.42012/13
8 Sweden482.72010
9 Republic of Korea471.42014
10 Japan442.02016

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 = 0.007397 X +2.961
Correlation coefficient (r)0.478
Coefficient of determination (R2)0.228

GDP per capita (current US$)
No. of data10
Regression equation
Y = 324.664622 X -113151.719
Correlation coefficient (r)0.601
Coefficient of determination (R2)0.361

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.053976 X +108.946
Correlation coefficient (r)-0.626
Coefficient of determination (R2)0.392

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.005558 X -1.296
Correlation coefficient (r)0.500
Coefficient of determination (R2)0.250

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.065892 X +43.995
Correlation coefficient (r)-0.382
Coefficient of determination (R2)0.146