Tweet
Period:
Area:
10 countries/ areas
Highlight:
1 Japan 451.82016
2 Republic of Korea419.02014
3 Canada340.52015
4 United States331.72019
5 Sweden313.02010
6 United Kingdom308.62014/15
7 Australia304.12006
8 Germany289.52012/13
9 France235.12009/10
10 Italy220.82013/14

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 = -0.003355 X +7.844
Correlation coefficient (r)-0.501
Coefficient of determination (R2)0.251

GDP per capita (current US$)
No. of data10
Regression equation
Y = -22.504762 X +56966.556
Correlation coefficient (r)-0.137
Coefficient of determination (R2)0.019

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.008655 X +79.108
Correlation coefficient (r)0.314
Coefficient of determination (R2)0.099

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.002006 X +2.107
Correlation coefficient (r)-0.519
Coefficient of determination (R2)0.269

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = 0.053732 X -3.300
Correlation coefficient (r)0.645
Coefficient of determination (R2)0.416