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Period:
Area:
33 countries/ areas
Highlight:
1 Slovenia114.32000/01
2 Denmark107.22001
3 Hungary102.22010
4 France97.42009/10
5 Lithuania96.22003
6 Canada95.42015
7 Poland93.52013
8 Australia93.32006
9 Sweden93.02010
10 Estonia89.32009/10
11 Mexico87.52014
12 Belgium86.82013
13 Latvia85.22003
14 Finland84.42009/10
15 Netherlands81.12016
16 Germany80.52012/13
17 Austria79.02008/09
18 United States78.02019
19 New Zealand76.02009/10
20 United Kingdom74.62014/15
21 Spain69.72009/10
22 Luxembourg68.72013
23 South Africa67.92010
24 Italy63.62013/14
25 Norway55.72010/11
26 Portugal51.31999
27 Greece51.02013
28 China48.02008
29 Ireland47.82005
30 Turkiye26.62014/15
31 Republic of Korea22.52014
32 India18.51998/99
33 Japan 14.12016

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 = 0.017721 X +5.240
Correlation coefficient (r)0.619
Coefficient of determination (R2)0.383

GDP per capita (current US$)
No. of data33
Regression equation
Y = 138.988532 X +32633.207
Correlation coefficient (r)0.124
Coefficient of determination (R2)0.015

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.005713 X +78.730
Correlation coefficient (r)0.029
Coefficient of determination (R2)0.001

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.001873 X +1.417
Correlation coefficient (r)0.174
Coefficient of determination (R2)0.030

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = 0.017980 X +9.402
Correlation coefficient (r)0.097
Coefficient of determination (R2)0.009