EIGE

Frequency informal long-term carers received unpaid help with long-term care activities from relatives, friends or other people, by household type eige_gap_care_supp__ggs_care_unpaid_hh

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

This dataset shows how often, over the last 12 months, informal long-term carers received unpaid help caring for their main care recipient from relatives, friends or other people.

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.

The numbers indicate what percentage (%) of all people involved in informal long-term care have selected each frequency category.

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
  • I did not need it

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:
care activities, long-term care, relative, relatives, 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
14
BE
9.5
BG
7.7
CZ
10.1
DK
13.5(y)
DE
12.6
EE
17.3(y)
IE
9(y)
EL
7.5
ES
13.1
FR
17.1
HR
5.7
IT
18.9
CY
(x)
LV
6.9(y)
LT
15.5(y)
LU
(x)
HU
18.4
MT
(x)
NL
6.2
AT
11.6(y)
PL
14.4
PT
17
RO
18.5
SI
7.5(y)
SK
14.3(y)
FI
5.2(y)
SE
11.2

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