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Period:
Area:
33 countries/ areas
Highlight:
1 South Africa82.12010
2 Austria81.82008/09
3 Denmark81.42001
4 India73.31998/99
5 Netherlands72.62016
6 New Zealand69.02009/10
7 Turkiye68.12014/15
8 Italy65.42013/14
9 Slovenia61.92000/01
10 Germany60.62012/13
11 Norway57.02010/11
12 Greece56.32013
13 France55.22009/10
14 Finland54.62009/10
15 Canada53.52015
16 Sweden52.72010
17 Spain50.82009/10
18 Belgium50.52013
19 Ireland49.02005
20 United Kingdom47.42014/15
21 Poland45.12013
22 Mexico44.22014
23 Portugal43.81999
24 United States42.92019
25 Republic of Korea42.22014
26 Australia40.02006
27 Estonia37.62009/10
28 Hungary35.12010
28 Latvia35.12003
30 Luxembourg32.32013
31 Lithuania31.82003
32 China23.02008
33 Japan 16.92016

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 = -0.001118 X +6.587
Correlation coefficient (r)-0.025
Coefficient of determination (R2)0.001

GDP per capita (current US$)
No. of data33
Regression equation
Y = -25.377462 X +44060.202
Correlation coefficient (r)-0.014
Coefficient of determination (R2)0.000

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.044101 X +81.435
Correlation coefficient (r)-0.141
Coefficient of determination (R2)0.020

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.008542 X +1.110
Correlation coefficient (r)0.504
Coefficient of determination (R2)0.254

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.022415 X +11.873
Correlation coefficient (r)-0.077
Coefficient of determination (R2)0.006