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Period:
Area:
10 countries/ areas
Highlight:
1 Italy73.02013/14
2 Germany58.12012/13
3 Canada53.02015
4 France 52.12009/10
5 Sweden49.02010
6 United Kingdom42.12014/15
7 United States40.92019
8 Republic of Korea38.12014
9 Australia34.02006
10 Japan15.32016

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 = 0.005916 X +6.385
Correlation coefficient (r)0.222
Coefficient of determination (R2)0.049

GDP per capita (current US$)
No. of data10
Regression equation
Y = -47.313216 X +51086.190
Correlation coefficient (r)-0.051
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.022730 X +83.036
Correlation coefficient (r)-0.153
Coefficient of determination (R2)0.023

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.001992 X +1.388
Correlation coefficient (r)0.104
Coefficient of determination (R2)0.011

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.159622 X +18.372
Correlation coefficient (r)-0.538
Coefficient of determination (R2)0.289