EIGE

Violence satellite domain and sub-domain scores and indicators used to calculate scores index_data__index_viol

Time format:
Years
Unit:
Scores and individual indicators (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. It is formed by combining gender indicators, according to a conceptual framework, into a single summary measure.

The Index measures gender gaps that are adjusted to levels of achievement, ensuring that gender gaps cannot be regarded positively where they point to an adverse situation for both women and men. It assigns scores for Member States, between 1, total inequality and 100, full equality.

The Gender Equality Index consists of 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 the Gender Equality Index score.

The Index is computed as follows. First, achievement-adjusted gender gaps are computed for all constituent metrics. Next, these achievement-adjusted gaps for closely related metrics are combined to obtain subdomain scores. Then, sub-domain scores are combined to obtain domain scores. Finally, the domain scores are combined to obtain the overall Gender Equality Index score.

This indicator collates the Violence domain scores used in the Gender Equality Index and its Sub-Domain scores as well as the values of the individual indicators used to compute the  the Violence Sub-Domain score.

Note that in the Gender Statistics Database, the indicators used to calculate the Gender Equality Index, domain and sub-domain scores are reported according to the year the Gender Equality Index was published, rather than the year data was available.  The violence satellite domain was covered in the 2017 Gender Equality Index report only, and is usually based on data from 2012, as this was often the latest data available at the time of writing. Thus, the Index scores for the violence satellite domain and sub-domain are reported for year 2017. 

The table below presents an overview of the data used to compute the individual indicators in the Violence Sub-Domain for the 2017 edition of Gender Equality Index, the availablity of data and exceptions. 

The table below shows: 

  • Domains and sub-domains: How indicators relate to domains and subdomains in the Violence Sub-Domain (codes used in brackets). 
  • Code, indicator and reference population: The codes used for each indicator, and its reference population, for each individual indicator in the Violence Sub-Domain.
  • Source: The sources used to compute each individual indicator in the Violence Sub-Domain,  In case the individual indicator is computed based on survey data, the table shows which survey data is used. In case publicly available data from Eurostat is used, the table shows the unique dataset code used to identify the relevant Eurostat data.
  • Index edition: The availability of data for each individual indicator used to compute the Gender Equality Index and its exceptions, for the 2017 edition of the Gender Equality Index.
Domain Sub-domain Code Indicator and reference population Source Index edition
          2017
Violence
 (Domain score, viol_comp) 		Prevalence
(Sub-domain score,
viol_pre) 		viol_pre_since15 Percentage of women having experienced physical and/or sexual violence by any perpetrator since age 15 (% women aged 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
viol_pre_last12m Percentage of women having experienced physical and/or sexual violence by any perpetrator in the past 12 months (% women 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
viol_pre_homic Women victims of intentional homicide by intimate partner or family member, rate per 100 000 inhabitants Eurostat, crim_hom_vrel 2014
Severity
(Sub-domain score,
viol_pre) 		viol_sev_hlthcons_since15 Percentage of women having experienced health consequences of physical and/or sexual violence since the age of 15 (% women aged 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
viol_sev_hlthcons_last12m Percentage of women having experienced health consequences of physical and/or sexual violence in the past 12 months (% women aged 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
viol_sev_physsex Percentage of women having experienced violence from several types of perpetrators (% women aged 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
Disclosure
(Sub-domain score,
viol_discl) 		viol_discl_nontld Percentage of women having experienced physical and/or sexual violence in the past 12 months and have not told anyone (% women aged 18-74) EIGE's calculation, FRA, Violence against women: an EU-wide survey 2012
Additional
indicators		 viol_psych Percentage of women having experienced psychological violence by a partner or former partner since age 15 (% women aged 18-74) Fundamental Rights Agency (FRA), Violence against women: an EU-wide survey 2012
viol_harass Percentage of women having experienced any form of sexual harassment since age 15 (% women aged 18-74) Fundamental Rights Agency (FRA), Violence against women: an EU-wide survey 2012
viol_stalk Percentage of women having experienced stalking since the age of 15 Fundamental Rights Agency (FRA), Violence against women: an EU-wide survey 2012
viol_traff Women and girls registered victims of human trafficking, rate per 100 000 female population EIGE’s calculation, European Commission 2013
Keywords:
GEI, gender equality index, violence
SE
LU
FR
MT
NL
BE
DK
FI
DE
EU
IT
SK
AT
LV
SI
HR
EE
EL
HU
IE
CY
ES
BG
CZ
PL
PT
LT
RO
viol_comp
viol_discl
viol_pre
viol_sev
viol_pre_since15
viol_pre_last12m
viol_pre_homic
viol_sev_hlthcons_since15
viol_sev_hlthcons_last12m
viol_sev_physsex
viol_discl_nontld
viol_psych
viol_harass
viol_stalk
viol_traff
SE
29.7
15.4
29.2
44.6
46
11
61
22
49
15
51
81
33
LU
32.3
19.5
23.1
54.2
38
7
71
54
36
19
49
67
30
3
FR
29.1
13.7
28.3
45.2
44
11
68
24
42
13
47
75
29
MT
25.2
9
14.5
52.1
22
5
0.5
74
48
33
8
37
50
26
5
NL
31.5
13.7
28.8
52.1
45
11
0.3
76
35
43
13
50
73
26
15
BE
29.7
14.9
24
50.3
36
11
72
34
44
14
44
60
24
1
DK
32.6
16.7
32.4
48.5
52
11
66
32
46
16
60
80
24
2
FI
32.4
14.8
29.2
53.2
47
10
0.7
69
46
43
14
53
71
24
1
DE
26.9
10.6
22.4
47.8
35
8
0.6
71
28
43
10
50
60
24
1
EU
27.2
15
20.4
46.3
32
8
68
31
37
14
43
53
18
2
IT
26.8
15.8
17.9
46.6
27
7
0.4
68
36
35
15
38
51
18
2
SK
30
18.6
22.7
48.7
34
10
0
70
34
41
18
47
49
16
1
AT
25.6
16.6
13.2
46.9
20
5
69
43
27
16
38
35
15
2
LV
38.2
32.8
23.3
58.4
39
6
1.6
84
60
30
32
60
47
14
2
SI
22.4
9.3
13.4
44.6
22
3
0.4
64
36
32
8
34
44
14
4
HR
23.2
15.9
14
39.6
21
5
0.6
60
32
25
15
42
41
13
1
EE
25.8
15
19.9
42.6
34
5
66
32
28
14
50
53
13
2
EL
27.4
22.1
17.1
42.9
25
7
71
37
19
21
33
43
12
1
HU
26.7
13.9
19.4
46.7
28
9
0.7
72
38
28
13
49
42
12
2
IE
25.6
12
17.7
47.2
26
8
72
32
36
11
31
48
12
1
CY
24.7
20.8
14.1
39.4
22
5
51
40
26
20
39
36
11
24
ES
25.2
19.4
13.7
42.5
22
4
0.3
57
36
33
19
33
50
11
1
BG
44.2
48.6
18.7
65.2
28
8
84
74
37
48
39
24
10
13
CZ
28
17.6
20.7
45.8
32
8
1
68
31
37
17
47
51
9
1
PL
22.1
13.3
12.4
40.5
19
4
78
15
27
12
37
32
9
1
PT
24.5
18.7
15.7
39
24
6
66
29
20
18
36
32
9
2
LT
25
11.2
19.3
44.3
32
6
1.2
56
47
28
10
51
35
8
2
RO
25
13.9
19.1
42
30
7
59
41
24
13
39
32
8
6

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