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Period:
Area:
33 countries/ areas
Highlight:
1 Germany27.22012/13
2 Netherlands24.62016
3 Finland23.32009/10
3 United Kingdom23.32014/15
5 Italy23.02013/14
6 Belgium22.72013
7 Australia22.12006
8 Denmark21.82001
9 Estonia20.42009/10
10 Spain20.02009/10
10 Sweden20.02010
12 Poland19.62013
13 Canada18.92015
14 France18.32009/10
15 United States17.42019
16 New Zealand17.02009/10
17 Luxembourg16.82013
18 Hungary16.42010
19 Ireland15.82005
20 Austria15.72008/09
21 Norway15.52010/11
22 Japan 15.22016
23 China15.02008
23 Greece15.02013
23 Slovenia15.02000/01
26 India13.91998/99
27 Turkiye13.12014/15
28 Lithuania13.02003
29 Mexico10.62014
30 Latvia10.52003
31 Portugal10.11999
32 South Africa8.02010
33 Republic of Korea6.82014

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 = 0.078090 X +5.190
Correlation coefficient (r)0.518
Coefficient of determination (R2)0.268

GDP per capita (current US$)
No. of data33
Regression equation
Y = 2019.990567 X +8096.828
Correlation coefficient (r)0.342
Coefficient of determination (R2)0.117

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.492799 X +70.693
Correlation coefficient (r)0.472
Coefficient of determination (R2)0.223

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.002251 X +1.592
Correlation coefficient (r)-0.040
Coefficient of determination (R2)0.002

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.358967 X +16.867
Correlation coefficient (r)-0.368
Coefficient of determination (R2)0.135