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Period:
Area:
10 countries/ areas
Highlight:
1 Italy65.42013/14
2 Germany60.62012/13
3 France55.22009/10
4 Canada53.52015
5 Sweden52.72010
6 United Kingdom47.42014/15
7 United States42.92019
8 Republic of Korea42.22014
9 Australia40.02006
10 Japan 16.92016

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 = 0.015104 X +6.045
Correlation coefficient (r)0.427
Coefficient of determination (R2)0.182

GDP per capita (current US$)
No. of data10
Regression equation
Y = -4.254820 X +49936.170
Correlation coefficient (r)-0.005
Coefficient of determination (R2)0.000

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.049080 X +84.230
Correlation coefficient (r)-0.338
Coefficient of determination (R2)0.114

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.003457 X +1.297
Correlation coefficient (r)0.169
Coefficient of determination (R2)0.029

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = -0.168456 X +22.002
Correlation coefficient (r)-0.383
Coefficient of determination (R2)0.147