Distribution of housework within the household, by type of housework task eige_gap_hw__ggs_hw_distribution

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

This dataset shows the distribution of housework within households headed by a cohabiting/ married couple. The workload distribution is shown separately for each of five types of housework tasks. For each type of task, the numbers indicate what percentage (%) of the target population have selected each answer category for that task. The target population are people who (1) are involved in housework and (2) live together with a spouse/partner.

Respondents were asked about five types of housework tasks:

  • Shopping for groceries
  • Housework chores (e.g. cooking, cleaning, laundry)
  • Financial and administrative matters (paying bills, etc.)
  • Management and planning of tasks (e.g. preparing shopping lists, planning meals)
  • House and general maintenance tasks (e.g. house repair, gardening, arranging services)

Respondents selected one option regarding who provided the support from the following list for each type of task:

  • Almost completely my partner
  • For the most part my partner
  • Equally me and my partner
  • For the most part me
  • Almost completely me
  • Almost completely or for the most part someone else (paid)
  • Almost completely or for the most part someone else (unpaid)

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:
domestic work, housework, social activities, work
SK
CZ
IT
BG
EL
LU
HU
LV
MT
AT
FR
CY
PL
BE
LT
RO
HR
EU27_2020
NL
DE
EE
PT
SI
FI
DK
IE
SE
ES
2022
SK
20.3
CZ
20.7
IT
21.2
BG
22
EL
22
LU
22
HU
22.7
LV
24
MT
24
AT
25.1
FR
25.3
CY
25.7
PL
25.9
BE
26.2
LT
26.5
RO
26.9
HR
27
EU27_2020
27.9
NL
27.9
DE
28
EE
30
PT
30.3
SI
31.1
FI
32.8
DK
34.9
IE
35.6
SE
38
ES
43

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