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Period:
Area:
10 countries/ areas
Highlight:
1 France 132.82009/10
2 Italy127.02013/14
3 Republic of Korea116.92014
4 Germany95.02012/13
5 Japan93.52016
6 Australia89.12006
7 Sweden82.52010
8 United Kingdom79.32014/15
9 Canada64.82015
10 United States62.02019

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 = -0.008697 X +7.474
Correlation coefficient (r)-0.514
Coefficient of determination (R2)0.264

GDP per capita (current US$)
No. of data10
Regression equation
Y = -425.054099 X +89008.951
Correlation coefficient (r)-0.720
Coefficient of determination (R2)0.518

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.043573 X +77.892
Correlation coefficient (r)0.463
Coefficient of determination (R2)0.214

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.003334 X +1.793
Correlation coefficient (r)-0.274
Coefficient of determination (R2)0.075

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.017311 X +12.732
Correlation coefficient (r)-0.092
Coefficient of determination (R2)0.008