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
BG
HR
CY
CZ
EE
FI
FR
LT
LU
MT
NL
SK
SI
SE
ES
IT
DK
EU27_2020
PT
DE
LV
RO
IE
BE
EL
PL
AT
HU
2022
BG
0
HR
0
CY
0
CZ
0
EE
0
FI
0
FR
0
LT
0
LU
0(y)
MT
0
NL
0
SK
0
SI
0
SE
0
ES
0.1
IT
0.2
DK
0.3
EU27_2020
0.3
PT
0.3
DE
0.5
LV
0.5
RO
0.5
IE
0.6
BE
0.7
EL
0.8
PL
0.8
AT
1.3
HU
1.3

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