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Period:
Area:
10 countries/ areas
Highlight:
1 United Kingdom842005
2 Canada682010
2 Germany682001-02
2 Italy682008/09
5 France562009
6 United States472010
7 Republic of Korea 452009
8 Sweden312010
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 = 0.005144 X +6.527
Correlation coefficient (r)0.229
Coefficient of determination (R2)0.052

GNI per capita, Atlas method (current US$)
No. of data10
Regression equation
Y = -121.887710 X +52598.309
Correlation coefficient (r)-0.304
Coefficient of determination (R2)0.092

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.023705 X +83.229
Correlation coefficient (r)-0.377
Coefficient of determination (R2)0.142

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.000149 X +1.574
Correlation coefficient (r)-0.014
Coefficient of determination (R2)0.000

Suicide - all ages (per 100,000 population, age-adjusted)
No. of data10
Regression equation
Y = -0.083505 X +15.713
Correlation coefficient (r)-0.515
Coefficient of determination (R2)0.265