Tweet
Period:
Area:
9 countries/ areas
Highlight:
1 Republic of Korea37.22014
2 Sweden31.22010
3 France 23.72009/10
4 Canada20.92015
5 United States17.72019
6 Australia16.02006
7 Germany14.32012/13
8 United Kingdom13.72014/15
9 Italy13.02013/14

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.

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 = -0.005974 X +6.845
Correlation coefficient (r)-0.134
Coefficient of determination (R2)0.018

GDP per capita (current US$)
No. of data9
Regression equation
Y = -409.847598 X +59153.377
Correlation coefficient (r)-0.244
Coefficient of determination (R2)0.060

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = 0.104456 X +79.555
Correlation coefficient (r)0.389
Coefficient of determination (R2)0.151

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.015830 X +1.829
Correlation coefficient (r)-0.435
Coefficient of determination (R2)0.189

Suicide, age-standardized (per 100 000 population)
No. of data9
Regression equation
Y = 0.461542 X +1.348
Correlation coefficient (r)0.803
Coefficient of determination (R2)0.645