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Period:
Area:
33 countries/ areas
Highlight:
1 Ireland39.32005
2 Germany37.12012/13
3 Australia36.02006
4 United Kingdom35.52014/15
5 Japan34.62016
6 Belgium34.02013
7 Italy32.42013/14
8 Netherlands31.82016
9 Spain31.02009/10
10 Poland30.32013
11 New Zealand30.02009/10
12 Denmark29.72001
13 Canada29.32015
14 Luxembourg29.22013
15 Finland 29.02009/10
16 Estonia27.52009/10
17 Sweden27.02010
18 United States26.42019
19 Norway26.12010/11
20 Austria25.72008/09
21 France25.62009/10
22 China25.02008
23 Hungary21.62010
24 Lithuania21.52003
25 Latvia20.42003
26 Slovenia20.02000/01
27 Republic of Korea19.82014
28 Portugal19.11999
29 Greece18.12013
30 Mexico17.32014
31 Turkiye14.82014/15
32 South Africa10.72010
33 India8.91998/99

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 = 0.081741 X +4.379
Correlation coefficient (r)0.711
Coefficient of determination (R2)0.506

GDP per capita (current US$)
No. of data33
Regression equation
Y = 2325.508609 X -18240.100
Correlation coefficient (r)0.604
Coefficient of determination (R2)0.365

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.383147 X +69.515
Correlation coefficient (r)0.680
Coefficient of determination (R2)0.462

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.017952 X +2.039
Correlation coefficient (r)-0.466
Coefficient of determination (R2)0.217

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.159423 X +17.486
Correlation coefficient (r)-0.206
Coefficient of determination (R2)0.042