EIGE

Frequency of choosing environmentally friendly options in unpaid work and leisure activities, by type of activity eige_gap_dig__ggs_dig_envir

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

This dataset shows how often people use environmentally friendly options in (1) informal care, (2) childcare, (3) housework, and (4) leisure activities. For each of the four types of activities, the numbers show what percentage (%) of all respondents involved in that type of activity have selected each frequency category for making environmentally friendly choices in that type of activity.

This dataset is based on the following question: ‘How often do you choose environmentally friendly options in…?’

  • Your role as a carer for people who depend on help with daily living activities (e.g. prioritising eco-friendly care products and services)
  • Your childcare activities (e.g. avoiding single-use items, shopping for second-hand items, educating on environmental issues)
  • Your housework (e.g. recycling, using eco-friendly cleaning products, using renewable energy to reduce carbon emissions)
  • Your leisure activities (e.g. choosing more carbon-neutral activities)

For each type of activity, respondents selected one frequency category from the following list:

  • Daily
  • Several times a week
  • Several times a month
  • Less often
  • Never

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.

IE
PL
PT
LT
AT
RO
ES
DE
HR
MT
DK
HU
EL
EU27_2020
LV
BG
IT
FI
FR
SE
CY
SK
EE
SI
BE
NL
CZ
LU
2022
IE
41.8
PL
40.4
PT
40.3
LT
38.3
AT
37.5
RO
36.3
ES
35.6
DE
34.4
HR
33.6
MT
33.4(y)
DK
33.1
HU
33
EL
32.5
EU27_2020
32.3
LV
32.2
BG
31.1
IT
30
FI
27.9
FR
27.3
SE
26.9
CY
25.9
SK
25.8
EE
25.1
SI
24.7
BE
22.1
NL
21.4
CZ
14.9
LU
(x)

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