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Period:
Area:
10 countries/ areas
Highlight:
1 Italy134.72013/14
2 Australia132.12006
3 France 128.52009/10
4 Canada114.72015
5 Germany109.42012/13
6 Sweden107.22010
7 United Kingdom103.62014/15
8 United States99.22019
9 Japan80.42016
10 Republic of Korea76.22014

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 = 0.009777 X +5.593
Correlation coefficient (r)0.475
Coefficient of determination (R2)0.226

GDP per capita (current US$)
No. of data10
Regression equation
Y = 165.844626 X +30919.874
Correlation coefficient (r)0.231
Coefficient of determination (R2)0.053

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.000634 X +81.931
Correlation coefficient (r)0.006
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.008362 X +0.571
Correlation coefficient (r)0.566
Coefficient of determination (R2)0.320

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.159815 X +28.456
Correlation coefficient (r)-0.698
Coefficient of determination (R2)0.487