Tweet
Period:
Area:
33 countries/ areas
Highlight:
1 Japan362.72016
2 Mexico349.22014
3 Republic of Korea344.52014
4 China339.82008
5 Latvia329.92003
6 Lithuania315.22003
7 Austria306.42008/09
8 Canada304.62015
9 India295.01998/99
9 Portugal295.01999
11 Sweden293.42010
12 United States288.92019
13 Luxembourg284.72013
14 New Zealand270.02009/10
15 Ireland268.02005
16 Slovenia264.62000/01
17 United Kingdom262.32014/15
18 Poland259.62013
19 Estonia255.62009/10
20 Germany247.92012/13
21 Turkiye246.32014/15
22 Netherlands242.82016
23 Norway241.32010/11
24 South Africa240.62010
25 Australia238.22006
26 Hungary237.62010
27 Belgium235.82013
28 Finland 229.12009/10
29 Greece227.72013
30 Denmark224.82001
31 France204.22009/10
32 Spain202.02009/10
33 Italy176.72013/14

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 = -0.004273 X +7.671
Correlation coefficient (r)-0.226
Coefficient of determination (R2)0.051

GDP per capita (current US$)
No. of data33
Regression equation
Y = -82.059068 X +64787.563
Correlation coefficient (r)-0.129
Coefficient of determination (R2)0.017

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -0.012498 X +82.919
Correlation coefficient (r)-0.135
Coefficient of determination (R2)0.018

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.000129 X +1.603
Correlation coefficient (r)-0.020
Coefficient of determination (R2)0.000

Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = 0.037479 X +3.219
Correlation coefficient (r)0.294
Coefficient of determination (R2)0.086