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Period:
Area:
33 countries/ areas
Highlight:
1 Republic of Korea56.92014
2 China47.02008
3 Japan43.52016
4 United Kingdom39.22014/15
5 Mexico39.12014
6 Latvia36.52003
7 South Africa36.12010
8 Luxembourg34.82013
9 India32.01998/99
10 Netherlands31.02016
10 Sweden31.02010
12 Turkiye30.72014/15
13 Norway29.72010/11
14 Austria29.42008/09
14 Estonia29.42009/10
16 Canada28.82015
16 Lithuania28.82003
18 Hungary28.52010
19 Germany28.42012/13
20 Poland26.92013
21 Belgium26.42013
22 Portugal25.21999
23 Australia25.02006
23 Slovenia25.02000/01
25 Greece24.72013
26 Denmark23.12001
27 New Zealand23.02009/10
28 France22.92009/10
29 Ireland22.82005
30 United States21.52019
31 Spain21.42009/10
32 Italy21.32013/14
33 Finland 20.82009/10

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 = -0.038202 X +7.667
Correlation coefficient (r)-0.360
Coefficient of determination (R2)0.130

GDP per capita (current US$)
No. of data33
Regression equation
Y = -741.995547 X +64973.127
Correlation coefficient (r)-0.209
Coefficient of determination (R2)0.044

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.081898 X +82.013
Correlation coefficient (r)-0.158
Coefficient of determination (R2)0.025

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.001828 X +1.624
Correlation coefficient (r)-0.051
Coefficient of determination (R2)0.003

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = 0.203749 X +7.192
Correlation coefficient (r)0.285
Coefficient of determination (R2)0.081