Impact of anti-Covid-19 measures on the overall unpaid care burden of people providing long-term care (%), by type of measure eige_covid_ltc_respons__covid_ltc_impact

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

This indicator shows the impact of government measures on the unpaid care burden for women and men with childcare responsibilities.

It is based on the question which asked for about the impact different types of anti-COVID-19 measures : “Since the start of the pandemic in February/March2020, to what degree did the following changes impact your unpaid care burden? […] 3.Partial or full closure of daycare services for older people or people with limitations in their usual activities due to health problems and/or with disabilities, 4. Limitation of visits to care services (nursing homes, hospitals, other services), 5.Limitation of local movement, 6. Limitation of social contacts e.g. to limited number of households, 7. Partial or full closure of restaurants and cafes/bars, 8. Partial or full closure of public transport”

Respondents were asked to indicate how much each measure impacted their unpaid care burden, ranging from “greatly reduced” to “greatly increased”. Valid response were grouped into the three categories:

  • Reduced the burden
  • Had no effect
  • Increased the burden

More information on the methodological aspects of EIGE’s survey ‘Gender Equality and Socio-Economic Consequences of Covid-19 crisis’ can be obtained in the technical report.

Keywords:
covid, covid-19, long-term care, pandemic
SE
SI
PT
LT
FR
CZ
PL
MT
NL
LU
IT
EE
EL
EU27_2020
FI
DE
BE
DK
LV
HR
AT
RO
ES
IE
CY
BG
HU
SK
2021
SE
5.1
SI
10.5
PT
15.4
LT
17.2
FR
18
CZ
18.5
PL
19.3
MT
20.4(y)
NL
22.3
LU
22.7
IT
22.9
EE
23.1
EL
23.7
EU27_2020
24.5
FI
24.9
DE
25
BE
25.1
DK
25.4
LV
26.3
HR
27.3
AT
27.4
RO
30.5
ES
31.8
IE
32.1
CY
33.9
BG
38.3
HU
42
SK
46.9

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