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Period:
Area:
30 countries/ areas
Highlight:
1 Austria 80.92008/09
2 Denmark74.22001
3 Italy73.02013/14
4 Netherlands67.92016
5 Turkiye64.02014/15
6 Slovenia63.22000/01
7 New Zealand59.02009/10
8 Germany58.12012/13
8 Greece58.12013
10 Canada53.02015
11 Spain52.92009/10
12 Portugal52.81999
13 France52.12009/10
14 Finland49.72009/10
15 Sweden49.02010
16 Belgium46.92013
17 Norway46.82010/11
18 Poland44.82013
19 Ireland43.12005
20 United Kingdom42.12014/15
21 United States40.92019
22 Mexico40.22014
23 Republic of Korea38.12014
24 Hungary36.82010
25 Estonia35.72009/10
26 Latvia35.22003
27 Australia34.02006
28 Lithuania31.82003
29 Luxembourg30.92013
30 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 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 = 0.004862 X +6.429
Correlation coefficient (r)0.125
Coefficient of determination (R2)0.016

GDP per capita (current US$)
No. of data30
Regression equation
Y = -98.742003 X +51132.137
Correlation coefficient (r)-0.051
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 0.050357 X +77.668
Correlation coefficient (r)0.201
Coefficient of determination (R2)0.040

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.002644 X +1.394
Correlation coefficient (r)0.175
Coefficient of determination (R2)0.031

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -0.132401 X +16.835
Correlation coefficient (r)-0.445
Coefficient of determination (R2)0.198