Hours per week spent on health-enhancing physical activities, by household type eige_gap_leis__ggs_leis_health_hh

Time format:
Years
Unit:
Percentage (comparable)
Description:

This dataset shows how many hours in a typical week respondents spend on health-enhancing (non-work-related) physical activities (e.g. sports, jogging, cycling). The numbers indicate what percentage (%) of those who are involved in leisure activities have selected each hour band.

Respondents selected one hour band from the following list:

  • 1-7 weekly hours (e.g. approx. 1 hour per day)
  • 8-21 weekly hours (e.g. more than 1 up to 3 hours per day)
  • 22-35 weekly hours (e.g. more than 3 up to 5 hours per day)
  • 36-49 weekly hours (e.g. more than 5 up to 7 hours per day)
  • 50-70 weekly hours (e.g. more than 7 up to 10 hours per day)
  • 71 or more weekly hours (e.g. more than 10 hours per day)
  • I don’t do (non-work-related) physical activities (e.g. sports, jogging, cycling)

This indicator is disaggregated by household type. For the purposes of this indicator, five household types are distinguished:

  • Single without children
  • Lone parents or single cohabiting with children
  • In a couple without children
  • In a couple cohabitating with children
  • Other

More information on the methodological aspects of EIGE’s “survey on gender gaps in unpaid care, individual and social activities (CARE)”.can be obtained in the technical report.

Keywords:
health, health-enhancing, health-related, healthier, physical activities, social activities
EU27_2020
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
2022
EU27_2020
0.3
BE
0.7
BG
0
CZ
0
DK
0.3
DE
0.5
EE
0
IE
0.6
EL
0.8
ES
0.1
FR
0
HR
0
IT
0.2
CY
0
LV
0.5
LT
0
LU
0(y)
HU
1.3
MT
0
NL
0
AT
1.3
PL
0.8
PT
0.3
RO
0.5
SI
0
SK
0
FI
0
SE
0

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable