EIGE

Frequency of use of digital tools and resources in unpaid work, by type of unpaid work activity and age group eige_gap_dig__ggs_dig_digital_age

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

This dataset shows how often people use digital tools and resources in three types of unpaid work: (1) informal long-term care, (2) childcare, and (3) housework. For each of the three types of work, the numbers show what percentage (%) of all respondents who are involved in the respective type of work have selected each frequency category for that type of work.

This dataset is based on the following question: ‘How often do you usually use digital tools and resources in any way related to…?’

  • Your role as a carer for people who depend on help with daily living activities (e.g. E-health tools, web platforms / apps with reminders about medications)
  • The childcare activities you perform (e.g. online learning, childcare management apps and tools, leisure time tools)
  • The housework tasks you perform (e.g. vacuum robot, smart homes, robotic lawn mowers, ordering grocery delivery)

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

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

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

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:
environment, environmental, social activities, unpaid care work, unpaid work, 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
28.4
BE
17.5
BG
26.4
CZ
21.1
DK
34.7
DE
30.9
EE
5.7(y)
IE
28.4
EL
18.6
ES
30.1
FR
27.5
HR
22.7
IT
26
CY
18.9(y)
LV
24.5
LT
36.2
LU
(x)
HU
38
MT
(x)
NL
24.6
AT
39
PL
30.3
PT
33.8
RO
34.8
SI
21.9(y)
SK
18.8
FI
20
SE
15.9

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