Tweet
Period:
Area:
30 countries/ areas
Highlight:
1 Spain46.72009/10
2 Italy43.82013/14
3 Finland39.12009/10
4 Luxembourg38.82013
5 Sweden36.02010
6 Slovenia35.12000/01
7 Austria 34.22008/09
8 Greece33.72013
9 Estonia32.32009/10
10 Republic of Korea31.42014
11 Latvia30.42003
12 Germany28.32012/13
13 Belgium26.62013
14 Poland25.52013
14 United States25.52019
16 Canada25.42015
17 Denmark24.72001
18 Netherlands24.62016
19 United Kingdom23.22014/15
20 Australia23.12006
21 Ireland22.82005
22 Norway21.02010/11
23 Portugal20.11999
24 Lithuania19.62003
25 New Zealand19.02009/10
26 Mexico18.02014
27 France17.12009/10
27 Hungary17.12010
29 Japan13.52016
30 Turkiye13.42014/15

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 = 0.015779 X +6.241
Correlation coefficient (r)0.239
Coefficient of determination (R2)0.057

GDP per capita (current US$)
No. of data30
Regression equation
Y = 403.416614 X +35399.885
Correlation coefficient (r)0.124
Coefficient of determination (R2)0.015

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 0.127075 X +76.706
Correlation coefficient (r)0.300
Coefficient of determination (R2)0.090

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.011152 X +1.825
Correlation coefficient (r)-0.437
Coefficient of determination (R2)0.191

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -0.007412 X +10.545
Correlation coefficient (r)-0.015
Coefficient of determination (R2)0.000