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Period:
Area:
26 countries/ areas
Highlight:
1 Spain23.12009/10
2 Poland22.02013
3 Austria20.42008/09
4 Sweden19.02010
5 Hungary18.22010
6 Canada18.12015
7 Estonia18.02009/10
8 United States16.82019
9 Italy16.32013/14
10 New Zealand16.02009/10
11 United Kingdom14.52014/15
12 Mexico14.42014
13 Belgium14.32013
14 Netherlands14.02016
15 Norway13.62010/11
16 Finland 13.22009/10
17 Greece13.12013
18 France12.62009/10
19 Luxembourg12.42013
20 Slovenia11.02000/01
21 Germany10.72012/13
22 Turkiye9.62014/15
23 Lithuania7.72003
24 Japan7.02016
25 Latvia4.02003
26 South Africa2.82010

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 212 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 data26
Regression equation
Y = 0.050795 X +5.908
Correlation coefficient (r)0.363
Coefficient of determination (R2)0.132

GDP per capita (current US$)
No. of data26
Regression equation
Y = 849.895939 X +30638.260
Correlation coefficient (r)0.154
Coefficient of determination (R2)0.024

Life expectancy at birth - Both sexes (years)
No. of data26
Regression equation
Y = 0.329258 X +74.902
Correlation coefficient (r)0.403
Coefficient of determination (R2)0.162

Fertility rate, total (births per woman)
No. of data26
Regression equation
Y = -0.022060 X +1.876
Correlation coefficient (r)-0.428
Coefficient of determination (R2)0.183

Suicide - all ages (per 100,000 population)
No. of data26
Regression equation
Y = -0.453103 X +19.611
Correlation coefficient (r)-0.408
Coefficient of determination (R2)0.166