EIGE

Violence domain and subdomain scores and indicators used to calculate scores index__index_viol

Time format:
Years
Unit:
Various (see name of selected domain/indicator) (comparable)
Description:

Developed at EIGE, The Gender Equality Index is a unique measurement tool that synthesises the complexity of gender equality as a multi-dimensional concept into a user-friendly and easily interpretable measure. The Index measures gender gaps across a range of indicators and combines these into a single score ranging from 0, representing total gender inequality, to 100, full gender equality.

The Gender Equality Index comprises six core domains (work, money, knowledge, time, power, and health) and two additional domains (intersecting inequalities and violence). Given the different nature of the latter two domains, only the core domains can be used in the computation of the Index scores.

The Index is computed as follows. First, gender gaps are calculated for all constituent indicators. Next, gaps for closely related indicators are combined to obtain subdomain scores. The subdomain scores are then combined to obtain domain scores. Finally, the domain scores are combined to obtain the overall Index score.

Note that the indicators used to calculate the overall Index, domain, and subdomain scores are reported according to the year the Gender Equality Index was published, rather than the year data that the underlying data refer to. The latest available (and complete) data at the time of the Index calculation are used for each indicator. For example, the 2025 Gender Equality Index was mostly based on data referring to 2024 but for some indicators data refer to 2023 or earlier depending on availability.

A table detailing the specific data used to calculate each edition of the Gender Equality Index is available from the link below. It lists each of the indicators used under each domain/subdomain of the Index, the reference year of the data used, and details of any exceptions (e.g. when a different year is used for certain countries or when there is a break in the time-series).

List of indicators used in the Gender Equality Index

This view presents the Violence domain and subdomain scores as well as the values of the individual indicators used to compute these scores. The violence domain is not recalculated every time the Index is updated because of the limited availability of comparable and regularly updated indicators. To date, the violence domain has been calculated only for the 2017 and 2024 Indexes. Calculations for the 2017 Index were mostly based on data from the 2012 EU-wide survey on violence against women conducted by the European Union Agency for Fundamental Rights (FRA), while the 2024 Index mostly used data from the EU GBV survey wave 2021, coordinated by Eurostat, FRA and EIGE.

Due to slight differences in methodologies between the FRA survey and the EU GBV survey, the 2024 scores are not fully comparable with 2017 scores.

The table below presents an overview of the data used to compute the individual indicators in the Violence subdomain for the 2024 edition of Gender Equality Index and how these differ from the data used in 2017. The table shows:

  • Subdomain: name of the subdomain of the Violence domain
  • Name/description of the indicators used in the calculation and the source of the data
  • The population used as the denominator of the indicator
  • Differences between the data used in 2024 and in 2017

Further information on the methodology used to calculate scores for the Violence domain can be found in the 2024 Index report dedicated to violence.

Subdomain Indicators and data source used in 2024 Denominator Differences from the 2017 edition
Prevalence Percentage of women having experienced physical and/or sexual violence by any perpetrator since the age of 15 (among those aged 18-74); EU-GBV survey, 2021 wave (Eurostat (gbv_any_occ)). All respondents (aged 18-74) Physical and sexual violence include threats
Percentage of women having experienced physical and/or sexual violence by any perpetrator in the past 12 months (among those aged 18-74); EU-GBV survey, 2021 wave (Eurostat (gbv_any_occ)). All respondents (aged 18-74)
Percentage of women victims of intentional homicide by a current or former partner or family member, per 100 000 inhabitants; Eurostat (crim_hom_vrel). 100 000 inhabitants No difference
Severity Percentage of women having experienced health-related consequences of physical and/or sexual violence since the age of 15 (among those aged 18-74); EU-GBV survey, 2021 wave (Eurostat (gbv_any_cnqv)). Respondents having experienced physical and/or sexual violence in the past 12 months (among those aged 18-74) Consequences for psychological health are captured only for cases of repeated violence
Percentage of women having experienced health-related consequences of physical and/or sexual violence in the past 12 months (among those aged 18-74); EU-GBV survey, 2021 wave (Eurostat (gbv_any_injocc)). Respondents having experienced physical and/or sexual violence (among those aged 18-74)
Percentage of women having experienced violence from several types of perpetrators (among those aged 18-74); EU-GBV survey, 2021 wave (microdata calculations). Respondents having experienced physical and/or sexual violence (among those aged 18-74) Types of perpetrators are characterised differently
Disclosure Percentage of women having experienced physical and/or sexual violence since the age of 15 and not having told anyone (among those aged 18-74); EU-GBV survey, 2021 wave (Eurostat (gbv_any_rp)). Respondents having experienced physical and/or sexual violence since the age of 15 (among those aged 18-74) Time frame is 'since the age of 15' instead of 'in the past 12 months'
IT
PL
CZ
LV
PT
DE
LT
CY
RO
HU
MT
BG
IE
BE
EU27_2020
EL
ES
HR
EE
SI
AT
FR
NL
LU
SK
FI
DK
SE
viol_comp
viol_pre
viol_sev
viol_discl
viol_pre_since15
viol_pre_last12m
viol_pre_homic
viol_sev_hlthcons_since15
viol_sev_hlthcons_last12m
viol_sev_physsex
viol_discl_nontld
IT
32(d)
4(d)
0.3
PL
17
15
16
CZ
20
2(u)
0.5
55
18
42
LV
25.6
14.4
38.8
23.6
25
2
2.2
61
34(u)
20
23
PT
20
2
53
20
34
DE
34
14.8
48.6
38.5
26
2
0.5
70
52(u)
22
38
LT
25
1(u)
1.2
58
22
28
CY
36
5(u)
76
23
26
RO
36.5
26.5
48.1
34.8
42
9
0.5
69
51
23
34
HU
37.8
27.8
42.5
42.9
49
5
0.7
56
45(u)
25
42
MT
24
2
0.8
64
25
17
BG
29.8
8.3
49.3
31.8
12
3
59
60
27
31
IE
41
4(u)
0.3
61
30
27
BE
25.9
16.7
40.9
20.2
29
3
60
30(u)
31
19
EU27_2020
31.9
18.2
44
33.5
31(e)
3(e)
57(e)
37(e)
31(e)
31(e)
EL
24.6
20.8
36.6
16.5
37
4
0.4
52
25
31
16
ES
25.8
16.1
36.8
24.6
28
2
0.3
51
27(u)
31
24
HR
25
5
0.7
48
33
36
EE
29.3
18.6
43.2
26.2
33
2
54
40(u)
34
26
SI
23
2(u)
0.4
52
36
31
AT
27.3
19.7
35.7
26.4
36
2
0.7
44
23(u)
38
26
FR
35
3
0.4
38
NL
41
4
0.4
39
42
29
LU
45
5
52
44
34
SK
38
0.1
44
FI
41.7
31.4
40.4
53.2
57
4
45
28(u)
46
53
DK
48
4
49
SE
37.4
29.5
41.7
41
53
5
0.2
49
23(u)
52
40

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