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Period:
Area:
10 countries/ areas
Highlight:
1 United States523.92019
2 Italy514.32013/14
3 Canada514.22015
4 Australia512.82006
5 France 509.22009/10
6 United Kingdom504.52014/15
7 Germany493.92012/13
8 Sweden482.02010
9 Republic of Korea471.52014
10 Japan448.42016

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.

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 data10
Regression equation
Y = 0.008066 X +2.642
Correlation coefficient (r)0.461
Coefficient of determination (R2)0.213

GDP per capita (current US$)
No. of data10
Regression equation
Y = 353.864651 X -127106.448
Correlation coefficient (r)0.580
Coefficient of determination (R2)0.336

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = -0.056635 X +110.174
Correlation coefficient (r)-0.581
Coefficient of determination (R2)0.338

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = 0.006183 X -1.597
Correlation coefficient (r)0.492
Coefficient of determination (R2)0.242

Suicide, age-standardized (per 100 000 population)
No. of data10
Regression equation
Y = -0.081235 X +51.512
Correlation coefficient (r)-0.417
Coefficient of determination (R2)0.174