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Period:
Area:
33 countries/ areas
Highlight:
1 France131.32009/10
2 Italy125.02013/14
3 Spain122.62009/10
4 Greece121.52013
5 Denmark120.32001
6 Turkiye119.52014/15
7 Netherlands116.62016
8 Republic of Korea114.82014
9 Luxembourg113.42013
10 Portugal107.61999
11 Belgium101.32013
12 Hungary96.92010
13 Germany96.52012/13
14 China96.02008
15 Japan 95.52016
16 Poland91.62013
17 Australia91.02006
18 Lithuania85.12003
18 Sweden85.12010
20 Latvia84.92003
21 Slovenia83.12000/01
22 Austria81.02008/09
22 Finland81.02009/10
24 India80.01998/99
24 New Zealand80.02009/10
26 United Kingdom78.52014/15
27 Mexico78.22014
28 Norway77.52010/11
29 Estonia76.82009/10
30 Ireland74.72005
31 South Africa68.92010
32 Canada64.62015
33 United States61.52019

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 = -0.003230 X +6.833
Correlation coefficient (r)-0.084
Coefficient of determination (R2)0.007

GDP per capita (current US$)
No. of data33
Regression equation
Y = -116.057255 X +53653.164
Correlation coefficient (r)-0.077
Coefficient of determination (R2)0.006

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 0.097171 X +70.010
Correlation coefficient (r)0.365
Coefficient of determination (R2)0.133

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.004691 X +1.995
Correlation coefficient (r)-0.325
Coefficient of determination (R2)0.106

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.106419 X +20.714
Correlation coefficient (r)-0.428
Coefficient of determination (R2)0.183