Percentage (%) of people that provide informal long-term care to people who need help with daily activities, by disability status eige_gap_care_resp__ggs_care_ltc_dis

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

This dataset shows what percentage (%) of all respondents provide informal long-term care to individuals in need of assistance with daily activities due to mental, physical frailty, disability, or old age.

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.

This indicator is disaggregated by self-reported disability status. It is based on responses to the following question:

"Are you limited because of a health problem in activities people usually do? Would you say you are…"

  • Severely limited (i.e. usual activities cannot be done or only done with extreme difficulty)
  • Limited but not severely (i.e. usual activity can be done but only with some difficulties)
  • Not limited at all (i.e. usual activities can be done without any difficulties)
  • Prefer not to answer

For the purposes of this indicator, people are classed as having a disability if they selected one of the first two responses above ("severely limited" or "limited").

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
30.2
BE
25.8
BG
38.5
CZ
27
DK
24.9
DE
28.7
EE
18.9
IE
42.7
EL
39.7
ES
33.8
FR
23.7
HR
46.6
IT
32.5
CY
29.9
LV
30.6
LT
50.5
LU
9.7(y)
HU
21.1
MT
30.4
NL
31.1
AT
29.7
PL
31.3
PT
36.9
RO
38.8
SI
20.2
SK
31.5
FI
24.8
SE
26.3

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