Tweet
Period:
Area:
30 countries/ areas
Highlight:
1 Spain36.92009/10
2 Finland35.42009/10
3 Sweden33.02010
4 Italy32.72013/14
5 Austria30.02008/09
6 Luxembourg28.12013
7 Slovenia28.02000/01
8 Germany24.52012/13
9 Republic of Korea23.02014
10 Estonia22.72009/10
11 Greece22.62013
12 Poland21.12013
13 Norway20.82010/11
14 Latvia20.42003
15 Netherlands20.32016
16 Denmark19.92001
17 Ireland17.32005
18 Canada16.52015
19 Australia16.02006
19 Belgium16.02013
21 United Kingdom15.52014/15
22 New Zealand15.02009/10
23 United States14.22019
24 Lithuania12.72003
25 Hungary9.92010
26 Mexico9.72014
27 Japan 7.42016
28 France7.22009/10
29 Portugal6.01999
30 Turkiye5.52014/15

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 8 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 data30
Regression equation
Y = 0.033858 X +6.023
Correlation coefficient (r)0.450
Coefficient of determination (R2)0.203
GDP per capita (current US$)
No. of data30
Regression equation
Y = 790.718813 X +30739.071
Correlation coefficient (r)0.250
Coefficient of determination (R2)0.062
Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 0.094583 X +78.609
Correlation coefficient (r)0.306
Coefficient of determination (R2)0.094
Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.012402 X +1.761
Correlation coefficient (r)-0.469
Coefficient of determination (R2)0.220
Suicide - all ages (per 100,000 population)
No. of data30
Regression equation
Y = 0.029655 X +12.582
Correlation coefficient (r)0.046
Coefficient of determination (R2)0.002