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Period:
Area:
10 countries/ areas
Highlight:
1 Italy38.22013/14
2 Sweden34.32010
3 Republic of Korea27.22014
4 Germany26.42012/13
5 Canada21.02015
6 United States19.82019
7 United Kingdom19.42014/15
8 Australia19.02006
9 France 12.02009/10
10 Japan10.22016

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 = 0.008283 X +6.466
Correlation coefficient (r)0.179
Coefficient of determination (R2)0.032

GDP per capita (current US$)
No. of data10
Regression equation
Y = -138.673647 X +52085.425
Correlation coefficient (r)-0.086
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.015070 X +81.657
Correlation coefficient (r)0.058
Coefficient of determination (R2)0.003

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.009807 X +1.702
Correlation coefficient (r)-0.295
Coefficient of determination (R2)0.087

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.069009 X +12.670
Correlation coefficient (r)-0.134
Coefficient of determination (R2)0.018