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Period:
Area:
30 countries/ areas
Highlight:
1 Republic of Korea56.92014
2 Japan 43.52016
3 United Kingdom39.22014/15
4 Mexico39.12014
5 Latvia36.52003
6 Luxembourg34.82013
7 Netherlands31.02016
7 Sweden31.02010
9 Turkiye30.72014/15
10 Norway29.72010/11
11 Austria29.42008/09
11 Estonia29.42009/10
13 Canada28.82015
13 Lithuania28.82003
15 Hungary28.52010
16 Germany28.42012/13
17 Poland26.92013
18 Belgium26.42013
19 Portugal25.21999
20 Australia25.02006
20 Slovenia25.02000/01
22 Greece24.72013
23 Denmark23.12001
24 New Zealand23.02009/10
25 France22.92009/10
26 Ireland22.82005
27 United States21.52019
28 Spain21.42009/10
29 Italy21.32013/14
30 Finland20.82009/10

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 Data Explorer: Time Use

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -0.017489 X +7.189
Correlation coefficient (r)-0.250
Coefficient of determination (R2)0.062

Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -0.019572 X +7.239
Correlation coefficient (r)-0.267
Coefficient of determination (R2)0.071

GDP per capita (current US$)
No. of data30
Regression equation
Y = -549.069845 X +65959.349
Correlation coefficient (r)-0.154
Coefficient of determination (R2)0.024

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -0.032584 X +82.031
Correlation coefficient (r)-0.097
Coefficient of determination (R2)0.009

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.009547 X +1.665
Correlation coefficient (r)-0.350
Coefficient of determination (R2)0.122

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = 0.190114 X +4.726
Correlation coefficient (r)0.375
Coefficient of determination (R2)0.141