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.

Keywords:
child care, child care-related, childcare, childcare services, childcare-related, children, social activities
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
1.8
BE
0(y)
BG
5.5
CZ
3.6
DK
0(y)
DE
1.1
EE
0(y)
IE
1.8(y)
EL
0
ES
0.7
FR
0.9
HR
5.3(y)
IT
0
CY
0(y)
LV
2.4(y)
LT
0(y)
LU
(x)
HU
3.8
MT
(x)
NL
2.3(y)
AT
0
PL
1.9
PT
0
RO
9.4
SI
0(y)
SK
0(y)
FI
1.9
SE
0(y)

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