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 positions across a number of different life domains. Data may cover international, European, national, regional and local levels and currently include 38 European countries. 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:
The science and research domain includes statistics on women and men in key decision-making positions in national academies of science and research funding organisations.
Organisations covered:
Self-governed funding organisations allocating national public funds to research organisations, programmes or projects in the countries covered. In cases where there is no research funding organisation fulfilling these criteria, the Ministry responsible for allocating the funds is covered and the decision-makers are identified on a case-by-case basis due to inherent differences (see Statistical Presentation below for details)
Positions covered:
Note that for the countries for which the ministry is covered, generally the non-permanent evaluating body that assessed the projects of the latest open call is covered. In case the non-permanent evaluating body is not active during the reference year (i.e. because no open calls were launched), data from the last year the body was active is used.
Mapping tables:
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 |