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Period:
Area:
33 countries/ areas
Highlight:
1 India298.21998/99
2 Mexico274.62014
3 Portugal253.41999
4 Turkiye221.62014/15
5 Slovenia212.12000/01
6 Lithuania207.42003
7 Italy205.02013/14
8 Hungary196.22010
9 Greece193.32013
10 South Africa183.42010
11 Poland178.12013
12 Latvia170.42003
13 Austria169.92008/09
14 Australia168.02006
15 Spain163.42009/10
16 France157.52009/10
17 China155.02008
18 Belgium153.12013
19 Luxembourg148.22013
20 Japan148.12016
21 Estonia146.92009/10
22 Denmark145.02001
23 New Zealand142.02009/10
24 Germany138.72012/13
25 Finland 134.12009/10
26 Canada133.92015
27 Ireland133.82005
28 United Kingdom132.42014/15
29 Republic of Korea130.32014
30 Netherlands128.32016
31 Sweden120.12010
32 United States119.82019
33 Norway114.02010/11

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 = -0.013409 X +8.786
Correlation coefficient (r)-0.698
Coefficient of determination (R2)0.487

GDP per capita (current US$)
No. of data33
Regression equation
Y = -399.555463 X +110210.460
Correlation coefficient (r)-0.621
Coefficient of determination (R2)0.386

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.048542 X +87.757
Correlation coefficient (r)-0.516
Coefficient of determination (R2)0.266

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.002709 X +1.111
Correlation coefficient (r)0.420
Coefficient of determination (R2)0.176

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.020074 X +16.701
Correlation coefficient (r)-0.155
Coefficient of determination (R2)0.024