Hours per week spent on informal long-term care of main recipient, by employment status eige_gap_care_resp__ggs_care_hours_emp

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

This dataset shows how many hours in a typical week providers of informal long-term care provide such care for their main care recipient. The numbers indicate what percentage (%) of all people involved in informal long-term care 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.

The respondents were asked "How many hours in a typical week do you spend on caring for your main care recipient?". 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
EU27_2020
4.9
BE
1
BG
7.7
CZ
10.1
DK
0.6
DE
2.5
EE
7.6(y)
IE
7.1
EL
4.1
ES
4.9
FR
1.3
HR
3.5
IT
2.9
CY
9.6(y)
LV
10(y)
LT
1.1
LU
(x)
HU
7
MT
(x)
NL
1.6
AT
5.8
PL
8.2
PT
8.2
RO
13.1
SI
1
SK
9.4
FI
3.4
SE
5.6

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