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Period:
Area:
33 countries/ areas
Highlight:
1 South Africa91.62010
2 India81.51998/99
3 Austria80.92008/09
4 Denmark74.22001
5 Italy73.02013/14
6 Netherlands67.92016
7 Turkiye64.02014/15
8 Slovenia63.22000/01
9 New Zealand59.02009/10
10 Germany58.12012/13
10 Greece58.12013
12 Canada53.02015
13 Spain52.92009/10
14 Portugal52.81999
15 France52.12009/10
16 Finland49.72009/10
17 Sweden49.02010
18 Belgium46.92013
19 Norway46.82010/11
20 Poland44.82013
21 Ireland43.12005
22 United Kingdom42.12014/15
23 United States40.92019
24 Mexico40.22014
25 Republic of Korea38.12014
26 Hungary36.82010
27 Estonia35.72009/10
28 Latvia35.22003
29 Australia34.02006
30 Lithuania31.82003
31 Luxembourg30.92013
32 China22.02008
33 Japan 15.32016

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 = -0.008461 X +6.956
Correlation coefficient (r)-0.199
Coefficient of determination (R2)0.040

GDP per capita (current US$)
No. of data33
Regression equation
Y = -271.887023 X +56465.607
Correlation coefficient (r)-0.163
Coefficient of determination (R2)0.027

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.078833 X +83.124
Correlation coefficient (r)-0.267
Coefficient of determination (R2)0.071

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.007939 X +1.153
Correlation coefficient (r)0.496
Coefficient of determination (R2)0.246

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.009940 X +11.211
Correlation coefficient (r)-0.036
Coefficient of determination (R2)0.001