EIGE

Hours per week spent on informal long-term care of main recipient, by employment status eige_care_ltc_resp__care_ltc_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: (1) Employee; (2) Self-employed; (3) Unemployed; (4) Inactive/ out of labour force (including retired, in school, unable to work due to long-standing health problems, fullfilling domestic tasks, in compulsory military service, and unpaid family workers).

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
2024
EU27_2020
10
BE
6.9
BG
7.3
CZ
11.3
DK
12.2
DE
9.5
EE
5.1(y)
IE
16.3
EL
13.1
ES
15.4
FR
4.6
HR
9.5
IT
12.5
CY
5
LV
14.3
LT
6.2(y)
LU
(x)
HU
12
MT
(x)
NL
9.1
AT
14.4
PL
15.3
PT
7.2
RO
11.9
SI
12.1
SK
12.6
FI
11.3(y)
SE
11.7

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