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Period:
Area:
10 countries/ areas
Highlight:
1 Republic of Korea41.32014
2 Japan33.02016
3 Sweden30.02010
4 United Kingdom29.62014/15
5 Canada24.92015
6 Germany24.12012/13
7 France 19.82009/10
8 Australia18.02006
9 United States17.32019
10 Italy16.02013/14

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 = -0.018310 X +7.120
Correlation coefficient (r)-0.359
Coefficient of determination (R2)0.129

GDP per capita (current US$)
No. of data10
Regression equation
Y = -886.582009 X +71449.783
Correlation coefficient (r)-0.499
Coefficient of determination (R2)0.249

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.119428 X +78.967
Correlation coefficient (r)0.421
Coefficient of determination (R2)0.177

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.023334 X +2.072
Correlation coefficient (r)-0.637
Coefficient of determination (R2)0.406

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = 0.344643 X +2.346
Correlation coefficient (r)0.608
Coefficient of determination (R2)0.370