Tweet
Period:
Area:
10 countries/ areas
Highlight:
1 Australia158.62006
2 United States151.92019
3 United Kingdom144.92014/15
4 Germany125.82012/13
5 France124.92009/10
6 Sweden123.02010
7 Canada118.42015
8 Italy117.32013/14
9 Japan 103.32016
10 Republic of Korea101.32014

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 = 0.017179 X +4.585
Correlation coefficient (r)0.691
Coefficient of determination (R2)0.477

GDP per capita (current US$)
No. of data10
Regression equation
Y = 475.129238 X -10579.605
Correlation coefficient (r)0.779
Coefficient of determination (R2)0.607

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.058936 X +89.371
Correlation coefficient (r)-0.577
Coefficient of determination (R2)0.333

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.008902 X +0.332
Correlation coefficient (r)0.621
Coefficient of determination (R2)0.386

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = -0.125621 X +29.916
Correlation coefficient (r)-0.406
Coefficient of determination (R2)0.165