Tweet
Period:
Area:
10 countries/ areas
Highlight:
1 France 131.32009/10
2 Italy125.02013/14
3 Republic of Korea114.82014
4 Germany96.52012/13
5 Japan95.52016
6 Australia91.02006
7 Sweden85.12010
8 United Kingdom78.52014/15
9 Canada64.62015
10 United States61.52019

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 = -0.008609 X +7.467
Correlation coefficient (r)-0.493
Coefficient of determination (R2)0.243

GDP per capita (current US$)
No. of data10
Regression equation
Y = -436.630119 X +90139.751
Correlation coefficient (r)-0.717
Coefficient of determination (R2)0.514

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.047851 X +77.484
Correlation coefficient (r)0.492
Coefficient of determination (R2)0.242

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.003174 X +1.779
Correlation coefficient (r)-0.253
Coefficient of determination (R2)0.064

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.018825 X +12.877
Correlation coefficient (r)-0.097
Coefficient of determination (R2)0.009