Tweet
Period:
Area:
33 countries/ areas
Highlight:
1 South Africa91.62010
2 India81.51998/99
3 Austria80.92008/09
4 Denmark74.22001
5 Italy73.02013/14
6 Netherlands67.92016
7 Turkiye64.02014/15
8 Slovenia63.22000/01
9 New Zealand59.02009/10
10 Germany58.12012/13
10 Greece58.12013
12 Canada53.02015
13 Spain52.92009/10
14 Portugal52.81999
15 France52.12009/10
16 Finland 49.72009/10
17 Sweden49.02010
18 Belgium46.92013
19 Norway46.82010/11
20 Poland44.82013
21 Ireland43.12005
22 United Kingdom42.12014/15
23 United States40.92019
24 Mexico40.22014
25 Republic of Korea38.12014
26 Hungary36.82010
27 Estonia35.72009/10
28 Latvia35.22003
29 Australia34.02006
30 Lithuania31.82003
31 Luxembourg30.92013
32 China22.02008
33 Japan15.32016

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 = -0.007193 X +6.884
Correlation coefficient (r)-0.146
Coefficient of determination (R2)0.021

GDP per capita (current US$)
No. of data33
Regression equation
Y = -282.059222 X +56931.571
Correlation coefficient (r)-0.171
Coefficient of determination (R2)0.029

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.070059 X +83.091
Correlation coefficient (r)-0.290
Coefficient of determination (R2)0.084

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.006187 X +1.257
Correlation coefficient (r)0.374
Coefficient of determination (R2)0.140

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.032770 X +14.963
Correlation coefficient (r)-0.099
Coefficient of determination (R2)0.010