Tweet
Period:
Area:
33 countries/ areas
Highlight:
1 Greece134.42013
2 France134.32009/10
3 Italy129.02013/14
4 Spain128.52009/10
5 Republic of Korea119.12014
6 Denmark117.92001
7 Portugal 115.71999
8 Turkiye115.62014/15
9 Netherlands112.02016
10 Luxembourg111.52013
11 Hungary105.22010
12 China104.02008
13 Belgium95.62013
14 Germany93.42012/13
15 Latvia93.02003
16 Japan91.12016
16 Lithuania91.12003
18 Slovenia89.22000/01
19 Poland89.12013
20 Australia87.32006
21 India87.21998/99
22 Estonia82.02009/10
23 Norway81.02010/11
24 Finland80.22009/10
25 Sweden80.02010
25 United Kingdom80.02014/15
27 New Zealand79.02009/10
28 Austria76.82008/09
29 South Africa76.52010
30 Ireland76.12005
31 Mexico75.62014
32 Canada65.02015
33 United States62.42019

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 = -0.007408 X +7.230
Correlation coefficient (r)-0.173
Coefficient of determination (R2)0.030

GDP per capita (current US$)
No. of data33
Regression equation
Y = -192.197972 X +61092.696
Correlation coefficient (r)-0.134
Coefficient of determination (R2)0.018

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.052086 X +74.569
Correlation coefficient (r)0.249
Coefficient of determination (R2)0.062

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.004162 X +1.967
Correlation coefficient (r)-0.290
Coefficient of determination (R2)0.084

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = -0.060842 X +19.133
Correlation coefficient (r)-0.211
Coefficient of determination (R2)0.045