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Period:
Area:
9 countries/ areas
Highlight:
1 Germany02001-02
2 Canada-12010
2 France-12009
2 Italy-12008/09
2 United Kingdom-12005
2 United States-12010
7 Japan-22011
8 Australia-52006
9 Republic of Korea -82009

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. Australia: 15 years and over, China: 15-74 years, Hungary: 15-74 years, Norway: 16-74 years, Sweden: 25-64 years. The classification of activities tends to 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.

No data for 1 countries.

Source
OECD, Gender equality - Balancing paid work, unpaid work and leisure.

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 data9
Regression equation
Y = 0.100967 X +6.937
Correlation coefficient (r)0.504
Coefficient of determination (R2)0.254

GNI per capita, Atlas method (current US$)
No. of data9
Regression equation
Y = 966.929461 X +47770.954
Correlation coefficient (r)0.249
Coefficient of determination (R2)0.062

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -0.190041 X +81.589
Correlation coefficient (r)-0.298
Coefficient of determination (R2)0.089

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = 0.061556 X +1.680
Correlation coefficient (r)0.570
Coefficient of determination (R2)0.325

Suicide - all ages (per 100,000 population, age-adjusted)
No. of data9
Regression equation
Y = -1.224066 X +8.902
Correlation coefficient (r)-0.739
Coefficient of determination (R2)0.546