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Period:
Area:
33 countries/ areas
Highlight:
1 Mexico478.32014
2 Japan 451.82016
3 Republic of Korea419.02014
4 India390.61998/99
5 China390.02008
6 Latvia376.92003
7 Portugal372.31999
8 Austria364.82008/09
9 Turkiye358.32014/15
10 Lithuania354.32003
11 Ireland340.82005
12 Canada340.52015
13 New Zealand338.02009/10
14 United States331.72019
15 Luxembourg330.02013
16 Poland314.82013
17 Sweden313.02010
18 United Kingdom308.62014/15
19 Australia304.12006
20 Slovenia299.82000/01
21 South Africa294.22010
22 Germany289.52012/13
23 Netherlands284.92016
24 Norway277.42010/11
25 Greece274.32013
26 Belgium273.72013
27 Hungary272.72010
28 Estonia264.12009/10
29 Denmark260.12001
30 Finland248.62009/10
31 Spain236.22009/10
32 France235.12009/10
33 Italy220.82013/14

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 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 = -0.004013 X +7.819
Correlation coefficient (r)-0.333
Coefficient of determination (R2)0.111

GDP per capita (current US$)
No. of data33
Regression equation
Y = -105.743802 X +76738.398
Correlation coefficient (r)-0.224
Coefficient of determination (R2)0.050

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.021011 X +85.900
Correlation coefficient (r)-0.252
Coefficient of determination (R2)0.064

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.000461 X +1.702
Correlation coefficient (r)-0.102
Coefficient of determination (R2)0.010

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = 0.011073 X +7.150
Correlation coefficient (r)0.142
Coefficient of determination (R2)0.020