EIGE

National ministries dealing with sports: administrators by seniority wmidm_sp_nat__wmid_sp_natmin_adm

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 sports domain includes statistics on women and men in key decision-making positions in national ministries, national sports federations, National Olympic Committees (NOCs) and European Confederations of sports.

Organisations covered:

  • Ministries or departments of national governments with responsibility for sports. Note that the names of the ministries may vary between countries.

Positions covered:

  • Senior ministers: members of the government in ministries responsible for sports who have a seat in the cabinet or council of ministers.
  • Junior ministers: members of the government in ministries responsible for sports 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 responsible for sports.
  • Level 2 administrators: the second level of administrative (non-political) positions in ministries responsible for sports.
  • Senior administrators: sum of level 1 and level 2 administrators.

Mapping tables:

IS
BG
CY
UK
FI
EL
AT
SE
SI
SK
MT
EU28
EU27_2020
NL
DK
EE
IE
HR
EEA
FR
CZ
DE
NO
ES
BE
PL
HU
IT
LV
LI
LT
LU
PT
AL
BA
IPA
XK
ME
MK
RO
RS
TR
2024
2023
2022
2021
2020
2019
IS
100
100
100
50
50
100
BG
81.8
72.7
57.1
66.7
70
66.7
CY
80
75
50
40
40
25
UK
75
75
75
75
75
66.7
FI
68.8
61.1
73.3
62.5
68.8
64.7
EL
67
67
69.2
73.6
67.3
65
AT
60
54.5
38.5
33.3
50
40
SE
60
60
57.1
44.4
37.5
44.4
SI
52.9
56.3
62.5
66.7
61.1
57.1
SK
52.2
47.1
48.8
45.2
38.9
44.4
MT
52
50
45.2
35
41.5
42.9
EU28
51.3
50.6
49.7
48.5
47.7
49.6
EU27_2020
51.1
50.4
49.5
48.2
47.5
49.5
NL
50.8
49.2
52.3
49.1
49
43.4
DK
50
50
50
50
50
100
EE
50
50
42.9
42.9
42.9
42.9
IE
50
50
50
50
0
33.3
HR
42.9
42.9
42.9
42.9
33.3
33.3
EEA
42.9
42.9
28.6
25
37.5
71.4
FR
40.2
38.9
39.7
39.7
38
0
CZ
37.5
37.5
42.9
42.9
42.9
42.9
DE
35.3
33.3
25
25
25
27.3
NO
33.3
33.3
33.3
33.3
33.3
33.3
ES
33.3
33.3
25
50
25
50
BE
28.6
28.6
28.6
12.5
12.5
12.5
PL
28.6
28.6
33.3
45.5
45.5
45.5
HU
16.7
16.7
16.7
14.3
14.3
14.3
IT
0
0
0
0
0
25
LV
0
100
50
0
50
50
LI
0
0
0
0
33.3
100
LT
0
0
0
0
0
0
LU
0
100
0
0
0
0
PT
0
66.7
64.3
53.3
50
60
AL
63.6
60
60
50
20
BA
50
50
60
60
60
IPA
27.9
23.7
29.4
22.2
17.2
XK
25
0
0
0
0
ME
0
0
62.5
33.3
33.3
MK
100
100
66.7
50
50
RO
0
50
40
41.7
RS
25
20
20
20
20
TR
8.6
8.6
8.6
8.6
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