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Period:
Area:
33 countries/ areas
Highlight:
1 Spain36.92009/10
2 Finland 35.42009/10
3 Sweden33.02010
4 Italy32.72013/14
5 Austria30.02008/09
6 Luxembourg28.12013
7 Slovenia28.02000/01
8 Germany24.52012/13
9 Republic of Korea23.02014
10 Estonia22.72009/10
11 Greece22.62013
12 China22.02008
13 Poland21.12013
14 Norway20.82010/11
15 Latvia20.42003
16 Netherlands20.32016
17 Denmark19.92001
18 Ireland17.32005
19 Canada16.52015
20 Australia16.02006
20 Belgium16.02013
22 United Kingdom15.52014/15
23 New Zealand15.02009/10
24 United States14.22019
25 Lithuania12.72003
26 Hungary9.92010
27 Mexico9.72014
28 Japan7.42016
29 France7.22009/10
30 Portugal6.01999
31 Turkiye5.52014/15
32 South Africa1.62010
33 India1.41998/99

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 205 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 data33
Regression equation
Y = 0.051406 X +5.565
Correlation coefficient (r)0.566
Coefficient of determination (R2)0.320

GDP per capita (current US$)
No. of data33
Regression equation
Y = 1073.319832 X +22747.786
Correlation coefficient (r)0.353
Coefficient of determination (R2)0.125

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.228177 X +75.314
Correlation coefficient (r)0.513
Coefficient of determination (R2)0.263

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.018424 X +1.911
Correlation coefficient (r)-0.605
Coefficient of determination (R2)0.366

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.041218 X +14.075
Correlation coefficient (r)-0.067
Coefficient of determination (R2)0.004