EIGE

Hours per week spent on childcare of children other than your own, by employment status eige_gap_child_resp__ggs_child_other_hours_emp

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

Looking solely at the population of people who provide unpaid childcare to children other than their own (e.g. grandchildren, children-in-law, siblings, cousins, other relatives, friends, neighbours), this dataset shows how much time such people spend on unpaid childcare activities for such children. The numbers indicate what percentage (%) of people who provide unpaid childcare to children other than their own have selected each hour band.

Respondents were asked "How many hours in a typical week are you providing unpaid childcare for children other than your own children?" 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.

LU
MT
AT
BE
CY
DK
EE
EL
IT
LT
PT
SK
SI
SE
ES
FR
DE
EU27_2020
IE
FI
PL
NL
LV
CZ
HU
HR
BG
RO
2022
LU
(x)
MT
(x)
AT
0
BE
0(y)
CY
0(y)
DK
0(y)
EE
0(y)
EL
0
IT
0
LT
0(y)
PT
0
SK
0(y)
SI
0(y)
SE
0(y)
ES
0.7
FR
0.9
DE
1.1
EU27_2020
1.8
IE
1.8(y)
FI
1.9
PL
1.9
NL
2.3(y)
LV
2.4(y)
CZ
3.6
HU
3.8
HR
5.3(y)
BG
5.5
RO
9.4

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