EIGE

Days per week respondent is involved in voluntary, charitable or political activities outside work, by type of activity eige_gap_vcp__ggs_vcp_days

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

This dataset shows how often people engage in voluntary, charitable, or political activities outside of paid work (looking only at the population of people who engage in such activities at all). The figures shown indicate what percentage (%) of all respondents who are involved in voluntary, charitable, or political activities outside of paid work have selected each frequency category for each type of activity.

Respondents were asked about three types of activities:

  • Volunteering for an organisation outside of paid work (e.g. organisations helping people in need, educational/cultural/sports/professional associations, social movements, trade unions, etc.)
  • Actively performing charitable activities to help other people (e.g. fundraising, donations, in-kind support, etc.)
  • Being actively involved in political activities (e.g. running or helping a political campaign, signing a petition, protesting, contacting officials, etc.)

For each type of activity, 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

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:
social activities, work
CZ
HR
LU
NL
EE
BG
SE
FI
ES
PL
MT
EL
CY
BE
SK
FR
EU27_2020
HU
LV
LT
SI
DK
IE
RO
IT
PT
AT
DE
2022
CZ
2.2
HR
3.6
LU
5.1(y)
NL
5.4
EE
6.4
BG
6.6
SE
6.9
FI
7.6
ES
7.6
PL
8.1
MT
8.4(y)
EL
8.8
CY
8.9
BE
9.2
SK
9.5
FR
9.9
EU27_2020
10.4
HU
10.4
LV
10.4
LT
10.8
SI
10.8
DK
11
IE
11.1
RO
11.3
IT
11.5
PT
12.1
AT
14.1
DE
15

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