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 NGOs cover the presidents and members of the highest decision-making body of eight representative European families of sectoral NGO groupings that form the EU Civil Contact Group.
Organisations covered:
Non-governmental organisations established at the European level. Data cover those organisations recognised by the EU Civil Society Contact Group. The EU Civil Society Contact Group brings together eight large rights and value based NGO sectors: culture, development, education, environment, human rights, public health, social and women. The Contact Group is composed of two representatives from each of the eight representative European 'families' of sectoral NGO groupings.
Positions covered:
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 |