Days per week spent on housework, by type of housework task and household type eige_gap_hw__ggs_hw_type_hh

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

This dataset shows how often in a typical week respondents carry out different types of housework tasks. For each task, the figures indicate what percentage (%) of all respondents who are involved in housework have selected each frequency category for that task.

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 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 household type. For the purposes of this indicator, five household types are distinguished:

  • Single without children
  • Lone parents or single cohabiting with children
  • In a couple without children
  • In a couple cohabitating with children
  • Other

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
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
67.1
BE
66.3
BG
78.9
CZ
65.4
DK
66.1
DE
50.9
EE
67.4
IE
72.3
EL
74.2
ES
63.8
FR
68.9
HR
85.8
IT
70
CY
84
LV
74.3
LT
77.2
LU
75.5(y)
HU
70.7
MT
88.3
NL
66.9
AT
75.3
PL
75.9
PT
78.7
RO
69.6
SI
80.4
SK
69.8
FI
67.5
SE
62.9

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