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Period:
Area:
33 countries/ areas
Highlight:
1 South Africa556.62010
2 China544.02008
3 United States537.92019
4 New Zealand529.02009/10
5 Estonia527.82009/10
6 Canada526.72015
7 India520.91998/99
8 Luxembourg520.22013
9 Belgium519.22013
10 Turkiye518.02014/15
11 France516.52009/10
12 Latvia515.52003
13 Australia514.02006
14 Poland513.52013
15 Italy512.42013/14
16 United Kingdom511.72014/15
17 Finland 511.52009/10
18 Spain511.12009/10
19 Netherlands509.42016
20 Hungary508.52010
21 Portugal507.81999
22 Slovenia504.42000/01
23 Lithuania504.02003
24 Germany502.92012/13
25 Austria501.42008/09
26 Norway501.12010/11
27 Ireland500.72005
28 Mexico500.42014
29 Greece498.02013
30 Denmark496.52001
31 Sweden483.32010
32 Republic of Korea471.22014
33 Japan435.02016

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 = -0.005748 X +9.452
Correlation coefficient (r)-0.141
Coefficient of determination (R2)0.020

GDP per capita (current US$)
No. of data33
Regression equation
Y = -157.668845 X +123111.639
Correlation coefficient (r)-0.115
Coefficient of determination (R2)0.013

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.107593 X +134.430
Correlation coefficient (r)-0.537
Coefficient of determination (R2)0.288

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.006424 X -1.708
Correlation coefficient (r)0.469
Coefficient of determination (R2)0.220

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.026094 X +26.618
Correlation coefficient (r)-0.095
Coefficient of determination (R2)0.009