Frequency informal long-term carers relied on care services, by type of service and employment status eige_gap_care_serv__ggs_care_srvc_emp

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

This dataset shows how often informal long-term carers rely on various types of care services.

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.

For each type of service, the numbers indicate what percentage (%) of all people involved in informal long-term care have selected each frequency category for that type of service.

Respondents were asked about nine types of care services:

  • Residential long-term care facilities/ institutions
  • Daycare centre
  • Home-based personal care workers
  • Nurse and/or health care assistants
  • Domestic cleaners and helpers
  • Live-in carers (paid professionals living in the household)
  • Social worker
  • Volunteer
  • Other healthcare professionals

For each type of service, respondents selected one frequency category from the following list:

  • Every day
  • 4 to 6 days a week
  • 1 to 3 days a week
  • Less often
  • Never

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
EU27_2020
12.6
BE
13.9
BG
6
CZ
5.8
DK
20.9
DE
19.6
EE
3.9(y)
IE
12.4
EL
3.8
ES
8.8
FR
15.7
HR
12.8
IT
8.3
CY
2.1(y)
LV
3.8(y)
LT
11.8
LU
(x)
HU
13.1
MT
(x)
NL
17.7
AT
17.3
PL
8.6
PT
8.7
RO
12.6
SI
6.9
SK
2.8
FI
21.3
SE
12.9

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