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Period:
Area:
10 countries/ areas
Highlight:
1 France131.32009/10
2 Italy125.02013/14
3 Republic of Korea114.82014
4 Germany96.52012/13
5 Japan 95.52016
6 Australia91.02006
7 Sweden85.12010
8 United Kingdom78.52014/15
9 Canada64.62015
10 United States61.52019

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. The range of age and the classification of activities may 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, Time Use Database

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 = -0.010677 X +7.773
Correlation coefficient (r)-0.527
Coefficient of determination (R2)0.278

GDP per capita (current US$)
No. of data10
Regression equation
Y = -345.973153 X +82386.246
Correlation coefficient (r)-0.695
Coefficient of determination (R2)0.483

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.043425 X +77.792
Correlation coefficient (r)0.522
Coefficient of determination (R2)0.272

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.002718 X +1.719
Correlation coefficient (r)-0.232
Coefficient of determination (R2)0.054

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = 0.031141 X +11.031
Correlation coefficient (r)0.124
Coefficient of determination (R2)0.015