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Period:
Area:
10 countries/ areas
Highlight:
1 Sweden275.22010
2 Japan271.52016
3 Republic of Korea269.42014
4 Canada268.32015
5 United States247.02019
6 United Kingdom216.22014/15
7 Germany205.52012/13
8 France 175.42009/10
9 Australia172.02006
10 Italy133.12013/14

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 = 0.000081 X +6.636
Correlation coefficient (r)0.010
Coefficient of determination (R2)0.000

GDP per capita (current US$)
No. of data10
Regression equation
Y = 29.380879 X +42368.087
Correlation coefficient (r)0.103
Coefficient of determination (R2)0.011

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.000631 X +81.859
Correlation coefficient (r)0.014
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.001612 X +1.839
Correlation coefficient (r)-0.276
Coefficient of determination (R2)0.076

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = 0.059763 X -2.249
Correlation coefficient (r)0.660
Coefficient of determination (R2)0.436