EIGE

Hours per week the main long-term care recipient uses care services, by employment status eige_gap_care_serv__ggs_care_srvc_hours_emp

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

This dataset shows how many hours in a typical week the respondents' main long-term care recipients use care services. The numbers indicate what percentage (%) of all people who provide informal long-term care for a recipient who also uses care services have selected each hour band.

Long-term care refers to a range of supportive services and medical assistance provided to individuals who require extended or ongoing help with activities of daily living, for a minimum of three months.

Respondents were asked "How many hours in a typical week does your main care recipient use for any of the care services?" They 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)

This indicator is disaggregated by the employment status of the respondent. It groups respondents as: Employed, Self-employed, Unemployed or Inactive.

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.

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
2022
EU27_2020
6.9
BE
3.7
BG
3.2
CZ
3.2
DK
6.6
DE
7.1
EE
7.6(y)
IE
4.9
EL
5.3
ES
10.8
FR
4.6
HR
10.4
IT
4.3
CY
8.8(y)
LV
2.8(y)
LT
2.2(y)
LU
(x)
HU
7.3
MT
(x)
NL
9.4
AT
4.3
PL
3.2
PT
8.5
RO
11.9
SI
2.9(y)
SK
12.4(y)
FI
6.6
SE
9

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