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Period:
Area:
8 countries/ areas
Highlight:
1 Canada27.62015
2 United States26.92019
3 United Kingdom26.02014/15
4 Sweden25.42010
5 Italy24.62013/14
6 France 21.22009/10
7 Japan19.42016
8 Germany18.02012/13

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.

No data for 2 countries.

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 data8
Regression equation
Y = 0.050084 X +5.495
Correlation coefficient (r)0.476
Coefficient of determination (R2)0.227

GDP per capita (current US$)
No. of data8
Regression equation
Y = 2017.121851 X +1329.532
Correlation coefficient (r)0.527
Coefficient of determination (R2)0.278

Life expectancy at birth - Both sexes (years)
No. of data8
Regression equation
Y = -0.230307 X +87.094
Correlation coefficient (r)-0.337
Coefficient of determination (R2)0.114

Fertility rate, total (births per woman)
No. of data8
Regression equation
Y = 0.000409 X +1.525
Correlation coefficient (r)0.008
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data8
Regression equation
Y = 0.093016 X +7.625
Correlation coefficient (r)0.102
Coefficient of determination (R2)0.010