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 social partners and NGOs domain includes statistics on women and men in key decision-making positions in social partner organisations representing employers and employees at national and European levels, as well as in European NGOs. Data on European social partner organisations cover the presidents, members of the highest decision-making body and the executive heads of employer and trade union organisations that engage in the European social dialogue.
Organisations covered:
Employer and trade union organisations at the EU level which engage in the European social dialogue - i.e. discussions, consultations, negotiations and joint actions taking place between employers and trade unions at European level as well as between them and EU institutions.
The EU-level organisations covered are listed under the organisations consulted under Article 154 Treaty on the Functioning of the European Union (TFEU): http://ec.europa.eu/social/BlobServlet?docId=2154&langId=en.
Positions covered:
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 |