Tweet
Period:
Area:
33 countries/ areas
Highlight:
1 Spain41.92009/10
2 Italy38.22013/14
3 Finland37.22009/10
4 Sweden34.32010
5 Luxembourg33.22013
6 Austria32.12008/09
7 Slovenia32.02000/01
8 Greece27.72013
9 Estonia27.52009/10
10 Republic of Korea27.22014
11 Germany26.42012/13
12 Latvia25.02003
13 Poland23.22013
14 China23.02008
15 Netherlands22.42016
16 Denmark22.12001
17 Belgium21.02013
17 Canada21.02015
19 Norway20.92010/11
20 Ireland20.02005
21 United States19.82019
22 United Kingdom19.42014/15
23 Australia19.02006
24 New Zealand17.02009/10
25 Lithuania16.02003
26 Mexico13.62014
27 Hungary12.92010
28 Portugal12.11999
29 France12.02009/10
30 Japan 10.22016
31 Turkiye9.52014/15
32 India5.51998/99
33 South Africa5.12010

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 = 0.040257 X +5.641
Correlation coefficient (r)0.505
Coefficient of determination (R2)0.255

GDP per capita (current US$)
No. of data33
Regression equation
Y = 940.909063 X +21974.298
Correlation coefficient (r)0.301
Coefficient of determination (R2)0.091

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.296042 X +72.611
Correlation coefficient (r)0.537
Coefficient of determination (R2)0.288

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.016349 X +1.914
Correlation coefficient (r)-0.546
Coefficient of determination (R2)0.298

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.094068 X +12.786
Correlation coefficient (r)-0.183
Coefficient of determination (R2)0.033