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Period:
Area:
10 countries/ areas
Highlight:
1 Italy142008/09
2 Australia02006
3 Japan-12011
4 Sweden-42010
5 France-52009
5 Republic of Korea-52009
7 United States-62010
8 Germany-72001-02
8 United Kingdom -72005
10 Canada-82010

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 = -0.034570 X +6.637
Correlation coefficient (r)-0.401
Coefficient of determination (R2)0.161

GNI per capita, PPP (current international$)
No. of data10
Regression equation
Y = -392.860175 X +47949.705
Correlation coefficient (r)-0.368
Coefficient of determination (R2)0.135

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.001069 X +0.823
Correlation coefficient (r)0.456
Coefficient of determination (R2)0.208

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.012441 X +1.563
Correlation coefficient (r)-0.295
Coefficient of determination (R2)0.087

Suicide - all ages (per 100,000 population, age-adjusted)
No. of data10
Regression equation
Y = -0.240462 X +10.933
Correlation coefficient (r)-0.385
Coefficient of determination (R2)0.148