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Period:
Area:
33 countries/ areas
Highlight:
1 Republic of Korea41.32014
2 China38.02008
3 Japan 33.02016
4 Luxembourg31.72013
5 Latvia31.52003
6 Sweden30.02010
7 United Kingdom29.62014/15
8 South Africa29.12010
9 Estonia28.72009/10
10 Mexico26.42014
11 Netherlands25.92016
12 Lithuania25.72003
13 Canada24.92015
14 Austria24.52008/09
15 Hungary24.22010
16 Germany24.12012/13
17 Slovenia24.02000/01
18 Belgium23.62013
19 Norway22.82010/11
20 Poland22.12013
21 Greece21.52013
22 Finland20.22009/10
23 Portugal20.11999
24 France19.82009/10
25 Ireland19.62005
26 Spain18.62009/10
27 Denmark18.22001
28 Australia18.02006
28 New Zealand18.02009/10
30 Turkiye17.82014/15
31 India17.71998/99
32 United States17.32019
33 Italy16.02013/14

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 = -0.003979 X +6.626
Correlation coefficient (r)-0.033
Coefficient of determination (R2)0.001

GDP per capita (current US$)
No. of data33
Regression equation
Y = -457.171182 X +53879.694
Correlation coefficient (r)-0.097
Coefficient of determination (R2)0.009

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.027256 X +79.809
Correlation coefficient (r)-0.033
Coefficient of determination (R2)0.001

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.016652 X +1.959
Correlation coefficient (r)-0.368
Coefficient of determination (R2)0.135

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = 0.301872 X +3.356
Correlation coefficient (r)0.387
Coefficient of determination (R2)0.150