Proportion (%) of women who avoided certain places in the last 12 months for fear of being physically or sexually assaulted or harassed, by type of avoidance genvio_any_any_sur_ext__gbvx_i06

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

This indicator presents data from the EU survey on gender-based violence against women and other forms of inter-personal violence (EU-GBV survey). The first wave of this survey was conducted jointly by Eurostat, EIGE, and FRA between September 2020 and March 2024. Eurostat coordinated data collection in 18 Member States (BE, BG, DK, EE, EL, ES, FR, HR, LV, LT, MT, NL, AT, PL, PT, SI, SK, FI), and the indicators disseminated for Italy (IT) were based on the most recent national survey with available results (2014). To cover the full EU, FRA and EIGE launched a joint data collection in the eight Member States not covered by Eurostat (CZ, DE, IE, CY, LU, HU, RO, SE) following the EU-GBV survey manual. This data collection used an extended questionnaire that included additional items to reflect emerging policy priorities and research needs. This indicator is calculated based on these additional items used in the eight Member States not covered by Eurostat.

This indicator shows the percentage of women aged 18-74 who have avoided certain places in the last 12 months for fear of being either physically or sexually assaulted, or harassed, by type of avoidance.

Prevalence of avoidance of certain places in the last 12 months for fear of being physically or sexually assaulted or harassed is calculated out of all women respondents.

The indicator presents data for respondents by the following types of avoidance:

  • Avoided certain streets or going to certain areas
  • Avoided going to places where there are no other people around, for example parks or car parks
  • Any type of avoidance (includes both of the above)
CZ
DE
IE
CY
LU
HU
RO
SE
2024
CZ
67.4
DE
69.2
IE
64.7
CY
44.1
LU
70
HU
33.6
RO
64
SE
64.9

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