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Period:
Area:
10 countries/ areas
Highlight:
1 United Kingdom802005
2 Italy752008/09
3 Germany652001-02
4 Canada642010
5 France532009
6 United States442010
7 Republic of Korea432009
8 Sweden 272010
9 Japan122011
10 Australia102006

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.

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 data10
Regression equation
Y = 0.002032 X +6.641
Correlation coefficient (r)0.090
Coefficient of determination (R2)0.008

GNI per capita, PPP (current international$)
No. of data10
Regression equation
Y = -38.877818 X +50927.921
Correlation coefficient (r)-0.140
Coefficient of determination (R2)0.020

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.000170 X +0.828
Correlation coefficient (r)-0.278
Coefficient of determination (R2)0.077

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.000898 X +1.641
Correlation coefficient (r)-0.082
Coefficient of determination (R2)0.007

Suicide - all ages (per 100,000 population, age-adjusted)
No. of data10
Regression equation
Y = -0.091368 X +15.952
Correlation coefficient (r)-0.561
Coefficient of determination (R2)0.315