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Period:
Area:
30 countries/ areas
Highlight:
1 Republic of Korea41.32014
2 Japan 33.02016
3 Luxembourg31.72013
4 Latvia31.52003
5 Sweden30.02010
6 United Kingdom29.62014/15
7 Estonia28.72009/10
8 Mexico26.42014
9 Netherlands25.92016
10 Lithuania25.72003
11 Canada24.92015
12 Austria24.52008/09
13 Hungary24.22010
14 Germany24.12012/13
15 Slovenia24.02000/01
16 Belgium23.62013
17 Norway22.82010/11
18 Poland22.12013
19 Greece21.52013
20 Finland20.22009/10
21 Portugal20.11999
22 France19.82009/10
23 Ireland19.62005
24 Spain18.62009/10
25 Denmark18.22001
26 Australia18.02006
26 New Zealand18.02009/10
28 Turkiye17.82014/15
29 United States17.32019
30 Italy16.02013/14

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 = -0.008398 X +6.874
Correlation coefficient (r)-0.075
Coefficient of determination (R2)0.006

GDP per capita (current US$)
No. of data30
Regression equation
Y = -210.826969 X +51345.656
Correlation coefficient (r)-0.043
Coefficient of determination (R2)0.002

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -0.008726 X +80.346
Correlation coefficient (r)-0.014
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.016616 X +1.922
Correlation coefficient (r)-0.432
Coefficient of determination (R2)0.187

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = 0.388039 X +1.044
Correlation coefficient (r)0.512
Coefficient of determination (R2)0.262