EIGE

K1d: Proportion of women and men amongst highest-ranking civil servants in ministries with competences in environment, transport and energy, by level of seniority [from 2012] bpfa_k_offic_k1__wmid_env_natmin_admin

Time format:
Years
Unit:
Percentage of total (comparable)
Unit:
Head count
Description:

The Gender Statistics Database (GSD) of the European Institute for Gender Equality (EIGE) contains data on the numbers of women and men in key decision-making (WMID) positions across a number of different life domains. Data may cover international, European, national, regional and local levels and currently include 37 European countries. Data covered the United Kingdom up to 2024. The GSD aims to provide reliable statistics that can be used to monitor the current situation and trends over time.

The domains covered include politics, public administration, judiciary, business and finance, social partners and NGOs, environment, media, science and research, sports, and transport. The decision-making positions covered are specific to each area.

A decision-making position is a position from which it is possible to take or influence a decision:

  • within a domain: at organisational level. This restricts coverage to organisations having a major influence in the domain at the territorial level of interest, which is usually national but can also be international, European, regional or local;
  • within an organisation: at hierarchical level. This restricts coverage to positions within the hierarchy that have a major input to decision-making within the organisation.

WMID Methodological report

The environment and climate change domain includes statistics on women and men in key decision-making positions with competences in environment and climate change. Data on environment decision-making at the national level cover ministers and administrators with competences in environment, climate change, energy and transport in each country.

Organisations covered:

  • Environment, climate change, transport and energy ministries or departments of national governments. Note that the names of the ministries may vary between countries.

Positions covered:

  • Senior ministers: members of the government in ministries with competences in environment, climate change, energy and transport who have a seat in the cabinet or council of ministers.
  • Junior ministers: members of the government in ministries with competences in environment, climate change, energy and transport who do not have a seat in the cabinet or council of ministers.
  • Members of the government or political executive: sum of senior and junior ministers.
  • Level 1 administrators: the highest level of administrative (non-political) positions in ministries with competences in environment, climate change, energy and transport.
  • Level 2 administrators: the second level of administrative (non-political) positions in ministries with competences in environment, climate change, energy and transport.
  • Senior administrators: sum of level 1 and level 2 administrators.

Mapping tables:

Specific keywords:
Beijing, BPfA, Climate change, Decision making, Environment, Power
EU28
EU27_2020
IPA
EEA
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
IS
LI
NO
UK
ME
MK
AL
RS
TR
BA
XK
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
EU28
44.4
44.6
43.6
42.8
42.4
41.9
41.6
40.6
37.8
37.9
36.4
34.1
33
EU27_2020
44.3
44.7
43.6
42.8
42.5
41.6
41.5
40.5
37.8
37.8
36.5
34.2
33.1
IPA
20.4
22.4
20.8
18.5
17.8
30.7
26.8
30.5
23.4
31.8
27.5
21.9
EEA
51.7
51.7
46.4
32.1
31
39.3
41.4
39.3
43.3
44.4
46.4
40
33.3
BE
41.2
43.8
31.8
35.7
33.3
38.5
36.4
42.9
41.7
50
40
11.1
20
BG
62.9
62.5
66.7
66.7
71.8
77.5
72.7
71.4
69.2
67.3
58.1
58.3
56.8
CZ
20.8
27.1
25.8
23.2
22.7
22.4
23.3
20.5
20.5
22.7
18.9
18.5
19.8
DK
33.3
13.3
15.4
7.7
25
15.4
6.7
15.4
26.1
23.5
15.8
0
7.7
DE
43.8
45.2
23.1
23.1
20.8
16.7
17.4
26.9
26.9
20
22.7
21.1
5.6
EE
53.3
41.9
40.6
42.9
43.2
40.5
41.7
50
52.5
47.6
46.5
42.9
46.3
IE
21.4
15.4
14.3
30
27.3
36.4
36.4
33.3
22.2
28.6
13.3
18.8
21.4
EL
45.7
55.4
54.7
55.4
47.8
40.4
47.9
37.5
37.5
45.1
45.1
45.1
47.6
ES
36
40.7
35.3
17.4
26.1
47.4
47.4
47.4
41.2
34.6
30.8
33.3
19
FR
33.6
36.6
33.1
33.1
29
27.3
27
25.2
29.6
25.8
25.5
29.4
33.7
HR
52.8
52.8
52.8
51.4
48.4
39.6
39.2
42.2
26.7
23.1
25
9.1
13.3
IT
36.8
47.1
39.1
20.7
28
26.9
28.6
36.1
27.3
25.7
24
12.5
14
CY
27.3
37.5
25
14.3
25
27.3
40
36.4
45.5
33.3
33.3
30.8
29.4
LV
87.5
50
42.9
44.4
44.4
50
40
38.5
38.5
35.7
40
38.5
36.4
LT
48
37.5
36.4
26.3
15.8
25
38.5
28.6
25
23.5
25
22.2
25
LU
14.3
33.3
25
25
25
25
25
25
25
33.3
14.3
20
0
HU
31
28.6
11.1
11.1
27.3
22.2
22.2
35
25
18.8
25
7.1
12.5
MT
41.7
37.1
37.5
38.8
34
37.2
30.8
29.9
25.7
25
22.5
14.7
25
NL
43.6
42.1
48.4
48.4
46.2
48.1
41.9
33.3
31.3
30.3
30.2
26.7
23.5
AT
49.2
34.4
34.4
34.4
46.7
40.3
43
39.5
43.3
39.2
37.9
35
34.6
PL
36.2
36.2
41.9
50
50
50
42.1
44
43.5
55.3
49.1
61.8
44.4
PT
28.6
42.9
80
77.8
77.8
63.6
69.2
66.7
62.5
61.5
60
37.5
37.5
RO
50.7
50
47.2
43.6
50.7
49.1
53.7
51.3
50
52.5
56.9
51.6
55.7
SI
58.1
60
64.8
54.5
54.5
54
58.7
58.3
54.5
57.1
48.1
44.4
38.1
SK
52.8
52.8
58
58
55.2
53
53
51.2
45
45
44.5
33.3
33.3
FI
55.1
54.2
61.9
60
55.8
58.5
57.9
59
55
49.1
50
51
50
SE
45.2
48.3
27.8
31.6
31.6
47.6
50
53.8
42.9
42.9
45.8
55
50
IS
50
50
75
50
33.3
33.3
33.3
16.7
25
25
33.3
33.3
25
LI
62.5
62.5
57.1
0
42.9
80
71.4
66.7
42.9
50
50
60
33.3
NO
47.1
47.1
35.3
35.3
25
29.4
31.3
37.5
47.4
47.4
47.4
35.3
35
UK
50
35
42.1
42.1
38.9
55.6
52.6
47.1
35.3
38.9
33.3
26.7
26.7
ME
36.4
53.8
45.5
35.7
28.6
23.1
25
28.6
21.4
MK
42.9
46.2
42.9
50
41.7
36.8
40
50
40
66.7
63.6
66.7
AL
57.1
58.8
51.5
45.2
45.5
39.4
RS
35.9
51.4
50
30.3
27.3
28.6
36.4
35.7
28.6
28.6
22.2
9.1
TR
12.8
12.8
12.8
12.8
12.8
11.1
5.6
6.7
0
0
0
0
BA
52.2
50
37.9
33.3
30.8
39.3
XK
16.1
24.1
19.2
11.8
16
17.4

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