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Period:
Area:
9 countries/ areas
Highlight:
1 Republic of Korea35.32014
2 Sweden33.02010
3 France 23.72009/10
4 Canada20.52015
5 United States18.72019
6 Australia15.02006
7 Germany13.92012/13
8 Italy12.42013/14
9 United Kingdom12.32014/15

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 1 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 data9
Regression equation
Y = -0.002081 X +6.763
Correlation coefficient (r)-0.047
Coefficient of determination (R2)0.002

GDP per capita (current US$)
No. of data9
Regression equation
Y = -272.207909 X +56195.114
Correlation coefficient (r)-0.165
Coefficient of determination (R2)0.027

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = 0.088660 X +79.913
Correlation coefficient (r)0.337
Coefficient of determination (R2)0.114

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.012451 X +1.755
Correlation coefficient (r)-0.349
Coefficient of determination (R2)0.122

Suicide, age-standardized (per 100 000 population)
No. of data9
Regression equation
Y = 0.438878 X +1.962
Correlation coefficient (r)0.780
Coefficient of determination (R2)0.608