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Period:
Area:
10 countries/ areas
Highlight:
1 France134.32009/10
2 Italy129.02013/14
3 Republic of Korea119.12014
4 Germany93.42012/13
5 Japan 91.12016
6 Australia87.32006
7 Sweden80.02010
7 United Kingdom80.02014/15
9 Canada65.02015
10 United States62.42019

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 = -0.010500 X +7.754
Correlation coefficient (r)-0.554
Coefficient of determination (R2)0.307

GDP per capita (current US$)
No. of data10
Regression equation
Y = -334.205724 X +81202.111
Correlation coefficient (r)-0.718
Coefficient of determination (R2)0.516

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.035735 X +78.525
Correlation coefficient (r)0.459
Coefficient of determination (R2)0.211

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.002949 X +1.740
Correlation coefficient (r)-0.270
Coefficient of determination (R2)0.073

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = 0.031798 X +10.976
Correlation coefficient (r)0.135
Coefficient of determination (R2)0.018