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Period:
Area:
33 countries/ areas
Highlight:
1 Spain46.72009/10
2 Italy43.82013/14
3 Finland 39.12009/10
4 Luxembourg38.82013
5 Sweden36.02010
6 Slovenia35.12000/01
7 Austria34.22008/09
8 Greece33.72013
9 Estonia32.32009/10
10 Republic of Korea31.42014
11 Latvia30.42003
12 Germany28.32012/13
13 Belgium26.62013
14 Poland25.52013
14 United States25.52019
16 Canada25.42015
17 Denmark24.72001
18 Netherlands24.62016
19 China24.02008
20 United Kingdom23.22014/15
21 Australia23.12006
22 Ireland22.82005
23 Norway21.02010/11
24 Portugal20.11999
25 Lithuania19.62003
26 New Zealand19.02009/10
27 Mexico18.02014
28 France17.12009/10
28 Hungary17.12010
30 Japan13.52016
31 Turkiye13.42014/15
32 India9.11998/99
32 South Africa9.12010

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 = 0.044604 X +5.369
Correlation coefficient (r)0.483
Coefficient of determination (R2)0.233

GDP per capita (current US$)
No. of data33
Regression equation
Y = 943.906133 X +18319.612
Correlation coefficient (r)0.305
Coefficient of determination (R2)0.093

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.221553 X +73.833
Correlation coefficient (r)0.490
Coefficient of determination (R2)0.240

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.019986 X +2.085
Correlation coefficient (r)-0.645
Coefficient of determination (R2)0.416

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.039806 X +14.337
Correlation coefficient (r)-0.064
Coefficient of determination (R2)0.004