Percentage (%) of long-term carers who provide informal long-term care outside the household, by education level eige_gap_care_resp__ggs_care_out_edu

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

This dataset shows what percentage (%) of providers of informal long-term care provide such care to people who live outside their household.

The dataset takes into consideration individuals who are cared for and reside in another household or in a care institution (full or part-time).

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 the education level of the respondent. Responses were grouped into three levels of education according to the International Standard Classification of Education (ISCED): “Low” (ISCED 1-2), “Medium” (ISCED 3-4) and “High” (ISCED 5-8). ISCED levels are: Primary education or less, Lower secondary education or equivalent level, Secondary education (e.g. high school), Post-secondary education non-tertiary (e.g. technical education lasting minimum 6 months), Short-cycle tertiary (e.g. advanced vocational education lasting minimum 2 years), University: Bachelor’s or equivalent level, University: Master’s or equivalent level or University: Doctoral (PhD) or equivalent level.

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
63.8
BE
70.8
BG
61.7
CZ
61.6
DK
79.4
DE
68.7
EE
63.1(y)
IE
49.8(y)
EL
75.9
ES
59.5
FR
69.2
HR
73
IT
53.1
CY
73(y)
LV
50.1
LT
60(y)
LU
(x)
HU
52.2
MT
(x)
NL
70.7
AT
67.9
PL
62.7
PT
61.2
RO
59.8
SI
75.9
SK
62.3
FI
74.1
SE
65.6

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