Frequency experiencing difficulties in combining paid work and care responsibilities, by education level eige_gap_wlb__ggs_wlb_care_edu

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

This dataset shows how often in a typical week employed carers experience difficulties in combining paid work with their care responsibilities (including both long-term care and childcare). "Carers" are all those who are involved in informal long-term care or childcare. The numbers indicate what percentage (%) of employed carers 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

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.

Keywords:
social activities, work, work-life balance
LV
PT
CY
EL
RO
BG
EE
PL
FR
ES
IT
BE
SK
HU
EU27_2020
IE
SE
HR
NL
CZ
AT
SI
LT
DE
DK
FI
LU
MT
2022
LV
34.5
PT
30.3
CY
28.4(y)
EL
27.5
RO
25.8
BG
24.8
EE
24.7(y)
PL
19.5
FR
18.2
ES
18.2
IT
17.8
BE
17.6
SK
16.9
HU
16.3
EU27_2020
15.6
IE
13.4
SE
13.3
HR
13
NL
10.1
CZ
9.5
AT
7.8
SI
7.7
LT
7.5(y)
DE
6.9
DK
6.7
FI
6.7
LU
(x)
MT
(x)

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