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Period:
Area:
9 countries/ areas
Highlight:
1 Australia102006
2 United States92010
3 Republic of Korea 72009
4 Canada62010
5 Germany42001-02
5 Italy42008/09
7 France22009
7 United Kingdom22005
9 Japan12011

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 = 0.046976 X +6.478
Correlation coefficient (r)0.290
Coefficient of determination (R2)0.084

GNI per capita, Atlas method (current US$)
No. of data9
Regression equation
Y = 1740.121951 X +35868.279
Correlation coefficient (r)0.538
Coefficient of determination (R2)0.289

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -0.182927 X +83.048
Correlation coefficient (r)-0.355
Coefficient of determination (R2)0.126

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.004878 X +1.568
Correlation coefficient (r)-0.056
Coefficient of determination (R2)0.003

Suicide - all ages (per 100,000 population)
No. of data9
Regression equation
Y = 0.617073 X +10.804
Correlation coefficient (r)0.313
Coefficient of determination (R2)0.098