EIGE

European agencies working in areas related to environment and climate change wmidm_env_euinst__wmid_env_eu_ag

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 EU level cover Directorates-General in the European Commission, Committees of the European Parliament, and European agencies, in all cases restricted to those with competences in environment, climate change, energy and transport.

Organisations covered:

  • Directorates-General (DGs) of the European Commission with competences in environment, climate change, transport and energy.
  • Committees of the European Parliament with competences in environment, climate change, energy, and transport.
  • European agencies working in areas related to environment, climate change, energy, and transport.

Positions covered:

  • European Commission (political positions): Commissioner, Head of Cabinet and Cabinet members
  • European Commission (administrative positions): Director-General (Directorate-General) and Directors (Directorates)
  • European Parliament: Chair, members of relevant committees
  • European agencies: President and members of the highest decision-making body (count includes the president); Executive head - highest executive position or head of the highest executive body. Usually referred to as either the secretary general or managing director. For organisations that do not have a separate executive position, the president is counted instead.
TOT
AG_ACER
AG_CPVO
AG_EASA
AG_EEA
AG_GSA
AG_FUSION
AG_EMSA
AG_ERA
AG_EUSPA
2024
2024
2024
2023
2023
2023
2022
2022
2022
2021
2021
2021
2020
2020
2020
2019
2019
2019
2018
2018
2018
2017
2017
2017
2016
2016
2016
2015
2015
2015
2014
2014
2014
2013
2013
2013
2012
2012
2012
2011
2011
2011
2010
2010
2010
2009
2009
2009
2008
2008
2008
2007
2007
2007
2006
2006
2006
2005
2005
2005
2004
2004
2004
2003
2003
2003
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
T
M
W
TOT
100
71.1
28.9
100
72.2
27.8
100
73.3
26.7
100
75.2
24.8
100
76.7
23.3
100
76.1
23.9
100
74.9
25.1
100
79.2
20.8
100
77.5
22.5
100
78.5
21.5
100
80.4
19.6
100
79.6
20.4
100
81.3
18.7
100
79.9
20.1
100
80.2
19.8
100
83.5
16.5
100
88.4
11.6
100
90.4
9.6
100
92.5
7.5
100
91.7
8.3
100
92.1
7.9
100
79.3
20.7
AG_ACER
100
70.4
29.6
100
70.4
29.6
100
74.1
25.9
100
74.1
25.9
100
76.9
23.1
100
71.4
28.6
100
75
25
100
81.5
18.5
100
85.7
14.3
100
77.8
22.2
100
74.1
25.9
100
74.1
25.9
100
74.1
25.9
100
84.6
15.4
AG_CPVO
100
57.1
42.9
100
63
37
100
57.1
42.9
100
53.6
46.4
100
57.1
42.9
100
60.7
39.3
100
55.2
44.8
100
58.6
41.4
100
55.2
44.8
100
58.6
41.4
100
55.6
44.4
100
57.1
42.9
100
59.3
40.7
100
53.6
46.4
100
53.6
46.4
100
57.1
42.9
100
59.3
40.7
100
67.9
32.1
100
65.4
34.6
100
64
36
100
68
32
100
74.2
25.8
AG_EASA
100
72.7
27.3
100
75.8
24.2
100
81.3
18.8
100
84.8
15.2
100
84.8
15.2
100
90.3
9.7
100
87.5
12.5
100
84.4
15.6
100
84.8
15.2
100
87.1
12.9
100
87.9
12.1
100
81.8
18.2
100
81.3
18.8
100
81.3
18.8
100
84.4
15.6
100
90.6
9.4
100
96.8
3.2
100
100
0
100
100
0
100
100
0
100
100
0
AG_EEA
100
44.1
55.9
100
51.4
48.6
100
51.4
48.6
100
55.9
44.1
100
52.8
47.2
100
55.6
44.4
100
58.3
41.7
100
61.8
38.2
100
52.8
47.2
100
62.9
37.1
100
73
27
100
68.4
31.6
100
68.6
31.4
100
67.6
32.4
100
63.9
36.1
100
80.6
19.4
100
89.2
10.8
100
91.9
8.1
100
97.1
2.9
100
94.1
5.9
100
97.1
2.9
100
70.6
29.4
AG_GSA
100
83.9
16.1
100
80
20
100
81.8
18.2
100
81.8
18.2
100
75
25
100
75
25
100
72.7
27.3
100
75
25
100
75
25
100
78.1
21.9
100
81.5
18.5
100
81.5
18.5
100
85.7
14.3
100
82.1
17.9
AG_FUSION
100
88.7
11.3
100
84.9
15.1
100
83.6
16.4
100
81.8
18.2
100
91.1
8.9
100
89.8
10.2
100
86.4
13.6
100
89.7
10.3
100
89.7
10.3
100
91.4
8.6
100
89.5
10.5
100
89.8
10.2
100
89.7
10.3
AG_EMSA
100
80
20
100
82.8
17.2
100
83.9
16.1
100
83.9
16.1
100
86.7
13.3
100
76.7
23.3
100
75
25
100
84.4
15.6
100
84.4
15.6
100
81.3
18.8
100
88.2
11.8
100
85.3
14.7
100
93.5
6.5
100
94.6
5.4
100
94.6
5.4
100
88.2
11.8
100
91.9
8.1
100
94.6
5.4
100
94.6
5.4
100
94.3
5.7
100
100
0
100
100
0
AG_ERA
100
64.5
35.5
100
65.6
34.4
100
66.7
33.3
100
73.3
26.7
100
70
30
100
73.3
26.7
100
70
30
100
82.8
17.2
100
84.4
15.6
100
83.9
16.1
100
89.5
10.5
100
92.1
7.9
100
97.2
2.8
100
94.6
5.4
100
97.3
2.7
100
97.3
2.7
100
100
0
100
100
0
100
100
0
100
100
0
AG_EUSPA
100
80
20
100
76.7
23.3
100
80.6
19.4
100
87.5
12.5

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