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Period:
Area:
30 countries/ areas
Highlight:
1 Ireland39.32005
2 Germany37.12012/13
3 Australia36.02006
4 United Kingdom35.52014/15
5 Japan 34.62016
6 Belgium34.02013
7 Italy32.42013/14
8 Netherlands31.82016
9 Spain31.02009/10
10 Poland30.32013
11 New Zealand30.02009/10
12 Denmark29.72001
13 Canada29.32015
14 Luxembourg29.22013
15 Finland29.02009/10
16 Estonia27.52009/10
17 Sweden27.02010
18 United States26.42019
19 Norway26.12010/11
20 Austria25.72008/09
21 France25.62009/10
22 Hungary21.62010
23 Lithuania21.52003
24 Latvia20.42003
25 Slovenia20.02000/01
26 Republic of Korea19.82014
27 Portugal19.11999
28 Greece18.12013
29 Mexico17.32014
30 Turkiye14.82014/15

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 = 0.042166 X +5.515
Correlation coefficient (r)0.478
Coefficient of determination (R2)0.228

GDP per capita (current US$)
No. of data30
Regression equation
Y = 2206.004492 X -12246.276
Correlation coefficient (r)0.531
Coefficient of determination (R2)0.282

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 0.226723 X +74.455
Correlation coefficient (r)0.534
Coefficient of determination (R2)0.285

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.001720 X +1.507
Correlation coefficient (r)-0.051
Coefficient of determination (R2)0.003

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -0.048433 X +11.669
Correlation coefficient (r)-0.072
Coefficient of determination (R2)0.005