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Period:
Area:
33 countries/ areas
Highlight:
1 Denmark87.52001
2 Austria82.62008/09
3 Netherlands77.12016
4 New Zealand77.02009/10
5 South Africa74.12010
6 Turkiye72.32014/15
7 Norway68.72010/11
8 India63.81998/99
9 Germany63.22012/13
10 Slovenia61.02000/01
11 Finland 59.62009/10
12 France58.12009/10
13 Italy57.82013/14
14 Sweden56.02010
15 Ireland54.82005
16 Greece54.72013
17 Belgium54.02013
18 Canada53.92015
19 United Kingdom52.72014/15
20 Spain48.62009/10
21 Mexico47.62014
22 Republic of Korea46.32014
23 Australia46.02006
24 Poland45.02013
25 United States44.92019
26 Estonia39.72009/10
27 Latvia35.22003
27 Portugal35.21999
29 Hungary33.92010
29 Luxembourg33.92013
31 Lithuania31.62003
32 China24.02008
33 Japan18.42016

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 = 0.010086 X +5.983
Correlation coefficient (r)0.196
Coefficient of determination (R2)0.038

GDP per capita (current US$)
No. of data33
Regression equation
Y = 207.322471 X +31643.100
Correlation coefficient (r)0.121
Coefficient of determination (R2)0.015

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.000872 X +79.508
Correlation coefficient (r)0.003
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.005226 X +1.290
Correlation coefficient (r)0.304
Coefficient of determination (R2)0.092

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.057448 X +16.372
Correlation coefficient (r)-0.166
Coefficient of determination (R2)0.028