Gender sensitivity ratings overall and by area genmain_eqpol_gsp_2023__gsp23_scores

Time format:
Years
Unit:
Score (out of 100) (comparable)
Description:

The European Institute for Gender Equality’s (EIGE) online self-assessment tool for Gender-sensitive Parliaments monitors and assesses gender sensitivity in the organisation and working procedures of parliaments. The assessment is broken down into five areas, each measuring a specific aspect of gender sensitivity. Responses to the assessment questionnaire result in a score for each Area, which can be cumulated to produce an overall gender sensitivity rating.

This indicator shows the scores derived from EIGE's 2023 assessment overall and by area. For methodological reasons the 2023 scores are not directly comparable with those from the 2019 exercise.

Further information can be found in the methodological report for the 2023 survey and an additional methodological note that describes the scoring model used to calculate indicator scores and provides a brief analysis of the 2023 results.

Note that for countries with a bicameral parliament the score shown for each area and overall is the highest achieved by either the lower or upper house

EP
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
AREA_1
AREA_2
AREA_3
AREA_4
AREA_5
TOTAL
EP
30
48
42
63
100
52
BE
44
40
50
92
20
52
BG
23
24
0
58
0
23
CZ
33
8
33
45
20
26
DK
50
24
25
61
40
40
DE
58
40
33
50
40
45
EE
20
24
17
80
20
33
IE
63
40
67
79
100
66
EL
33
20
58
65
20
41
ES
64
32
50
83
60
58
FR
60
28
33
65
20
40
HR
58
24
33
83
0
44
IT
80
8
50
65
60
50
CY
5
0
33
73
0
25
LV
20
24
25
49
0
26
LT
40
0
33
43
40
30
LU
78
72
25
95
0
60
HU
0
0
0
23
0
5
MT
16
0
0
78
20
23
NL
50
40
17
48
20
37
AT
45
24
58
61
60
40
PL
48
8
33
40
0
29
PT
38
8
33
76
40
39
RO
13
8
33
93
40
37
SI
63
24
33
58
20
42
SK
10
0
0
47
0
13
FI
50
85
50
80
100
70
SE
50
24
17
65
60
41

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