EIGE

Gender Equality Index scores, domain scores and sub-domain scores index__index_scores

Time format:
Years
Unit:
Scores (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 of the Gender Equality Index score.

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

This view presents all Gender Equality Index Scores - i.e. the overall Index Score, Domain Scores and Sub-Domain Scores.

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. For example, the 2023 Gender Equality Index was mostly based on data from 2021 as this was often the latest data available at the time the index was calculated. In the Index area of EIGE's database, data for each of the indicators used is always reported under the Index year rather than the actual year that the data refer to.

This view presents all Gender Equality Index Scores - i.e. the overall Index Score, Domain Scores and Sub-Domain Scores. 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/sub-domain 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

AT
BE
BG
CY
CZ
DE
DK
EE
EL
ES
EU27_2020
FI
FR
HR
HU
IE
IT
LT
LU
LV
MT
NL
PL
PT
RO
SE
SI
SK
INDEX
WORK
work_part
work_segqual
MONEY
money_fin
money_sit
KNOWLEDGE
know_attainpart
know_seg
TIME
time_care
time_social
POWER
power_pol
power_econ
power_soc
HEALTH
health_status
health_behav
health_access
AT
58.7
75.3
80.3
70.6
82.8
74.7
91.8
58.9
61.2
56.6
56
44.9
69.8
28.4
60.3
9.3
40.7
91.1
91
84.6
98.1
BE
69.3
72.7
75.7
69.8
85.5
77.9
94
70.6
73.3
68.1
70.3
72.6
68.1
47.9
65.8
32.8
50.9
86.5
92.6
70.3
99.3
BG
55
67.9
81.3
56.7
60.8
44.7
82.8
50.4
53.9
47.1
43.9
48.6
39.7
45.8
50.3
27.6
69.3
75.3
88.1
52.3
92.6
CY
49
70.5
85.2
58.3
80.7
74.8
87.1
55.5
73.6
41.9
45.9
52.6
40
15.4
30.1
4.7
25.9
86.4
93.7
73
94.4
CZ
55.6
64.9
78.9
53.3
73.8
55.1
98.7
55.4
61.4
50
53.8
55.8
51.9
31
30.7
27.4
35.6
85.7
89.1
72.3
97.9
DE
62.6
70
79
62.1
83.2
77.1
89.8
56.3
59.9
53
69.8
70.1
69.6
38.3
60.2
19
49.2
89.3
90.4
80.9
97.5
DK
75.2
79.8
88.5
71.9
83.6
78.3
89.3
73.2
81.7
65.6
80.4
75.8
85.3
58
75.1
47.5
54.8
90.3
92.2
81.7
97.8
EE
53.4
71.2
87.3
58.1
65.5
49.5
86.7
51.6
67.4
39.5
73.7
80.7
67.2
21.9
34.9
21.6
13.9
82.7
83.4
70.1
96.8
EL
48.6
63.6
71.1
57
75.3
66.7
84.9
53.4
59.8
47.7
35.6
34.2
37.1
22.3
34.3
13.6
23.8
84.3
94.1
66.6
95.7
ES
66.4
71.8
77
66.9
77.1
70.4
84.4
63.5
71.8
56.2
60.8
60.9
60.6
52.6
73.7
33.3
59.4
88.6
92.4
78.6
95.7
EU27_2020
63.1
69.7
77.6
62.6
79.1
70.6
88.7
59.8
66
54.2
65.2
65.4
65
41.9
47.5
29
53.2
86.7
90.4
74.8
96.2
FI
73.1
74.5
88.9
62.4
84.1
74.6
94.9
58.6
78.3
43.9
80.1
84.2
76.3
69.1
86.1
52.5
73.1
89.5
90.5
81.9
96.6
FR
67.5
71.5
81.1
63.1
83.5
75.9
91.8
62
67.9
56.6
66.6
70.3
63
52.4
64.1
41.2
54.6
86.7
91
74
96.8
HR
52.3
67.2
75
60.3
68.6
56.2
83.8
49.9
57.5
43.3
49.8
53
46.7
28.4
40.2
24.8
22.9
81.5
85.1
68.3
93.1
HU
52.4
66
75.8
57.5
70.8
51
98.3
54.5
59.2
50.1
54.1
68.7
42.6
23.5
16.1
37.8
21.4
85.4
84.2
76.8
96.3
IE
65.4
73.5
77.4
69.8
85.5
81.1
90.2
65.3
72.7
58.6
70.8
69.9
71.8
37.2
32.9
21.7
72.1
90.7
96.5
79
98
IT
53.3
61.3
64.9
57.8
78.9
72.5
86
53.8
53.7
53.9
55.1
54.5
55.7
25.2
31.7
10.6
47.8
86.3
91.1
74.2
94.9
LT
54.9
72.6
86
61.3
60.8
47.8
77.3
54.3
65
45.4
52.2
65.4
41.7
32.9
34
23.7
44.3
80.4
81.9
64.8
98.1
LU
61.2
70.9
74.8
67.3
91.8
91.2
92.5
66.3
74.8
58.7
70.2
72.1
68.3
25.6
45.3
5.2
71.5
89.8
93.8
78.5
98.3
LV
55.2
72.6
86.9
60.7
58.9
43.5
79.8
49.2
60.5
40
62
78.2
49.2
34.8
38.1
37.5
29.5
77.3
80
65.5
88.3
MT
54.4
65.1
58.6
72.3
79.2
68.6
91.3
65.4
59.2
72.3
54.3
49.7
59.4
20.9
30
12.4
24.5
90.6
93.8
81.7
97
NL
74
76.3
78.5
74.1
86.6
77.7
96.5
66.9
77.1
58.1
85.9
76.5
96.4
56.9
69.5
40.4
65.8
90.3
93.6
79.3
99.2
PL
55.5
66.3
77.9
56.5
69.5
54.6
88.5
57.8
62.3
53.6
54.2
63
46.5
30.6
36.6
27.5
28.6
81.6
85.8
67.9
93.4
PT
53.7
71.4
85.6
59.5
71.8
60.4
85.3
50.1
50.8
49.5
38.7
49.3
30.4
34.9
41.9
20.4
49.6
84.3
83.3
75.5
95.2
RO
50.8
67.9
78.8
58.6
59.8
42.5
84.2
47.2
50.1
44.4
50.6
70.9
36.2
30.8
23.5
28
44.4
69.9
87.9
42.5
91.6
SE
80.1
80.4
91.9
70.4
85.3
75.9
95.8
70.7
74.4
67.1
84.5
84.6
84.3
77.8
92.1
58.7
87.1
93.2
95.7
89.3
94.5
SI
62.7
71.9
84.4
61.3
80.3
67.3
95.8
55
68.4
44.2
68.3
64.5
72.4
41.1
44.5
29.9
52.3
86.8
86.3
75.9
99.8
SK
53
64.8
79
53.1
70.2
51.9
95.1
59.5
59.1
59.9
39.9
52.7
30.2
29.5
31
34.1
24.3
84.8
85.4
73.1
97.6

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