Distribution of housework within the household, by type of housework task and age group eige_care_hw__care_hw_distribution_age

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)

This indicator is disaggregated by the age of the respondent. Five categories are used: 16–24; 25–49; 50–64; 65–74.

Keywords:
domestic work, housework, social activities, work
BG
HR
IT
RO
LU
SK
IE
CZ
LV
MT
LT
EL
CY
AT
DE
EE
BE
EU27_2020
NL
FI
FR
HU
SI
PL
PT
DK
ES
SE
2024
BG
25.5
HR
25.5
IT
29.2
RO
29.2
LU
29.7
SK
29.7
IE
29.8
CZ
30.3
LV
30.4
MT
30.5
LT
30.9
EL
31.1
CY
32
AT
32.8
DE
33.4
EE
33.7
BE
34.3
EU27_2020
34.3
NL
34.6
FI
34.8
FR
34.8
HU
36
SI
36.9
PL
37
PT
37
DK
40.3
ES
42.3
SE
42.5

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