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 what percentage of ever-partnered women aged 18-74 who have experienced repeated physical and/or sexual violence by any of their partners (current or former) during their lifetime and sought professional help, by person/service reached for support.
This indicator is calculated out of all ever-partnered women who experienced repeated physical and/or sexual violence by any partner (current or former) during their lifetime. Repeated violence (series of episodes) refers to similar violent episodes repeated by the same person(s), during which similar thing(s) are done under the same circumstances more than once. For instance, a woman might be beaten by her partner in several episodes over a period of three years.
The indicator presents data for respondents by person/service reached for support
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 |