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 politics domain includes statistics on women and men amongst politicians at the European, national, regional and local levels. Figures include executive bodies (e.g. governments), representative bodies (parliaments and councils) as well as major political parties. Data on regional politics cover the presidents and members of the regional assemblies and executives in each country (where applicable).
Organisations covered:
The term region refers to regional authorities that are endowed with self-government acting as the territorial authorities between the central government and local authorities. This does not necessarily imply a hierarchical relationship between the regional and local authorities. Regional self-government denotes the legal competence and the ability of regional authorities, within the limits of the constitution and the law, to regulate and manage a share of public affairs under their own responsibility, in the interests of the regional population and in accordance with the principle of subsidiarity.
Positions covered:
Mapping tables:
NUTS classification mapping and % of population covered:
Within the EU, data at regional level are normally compiled using the NUTS (Nomenclature of Territorial Units for Statistics) classification. This is a hierarchical classification with 3 levels (NUTS 1 being the highest and NUTS 3 the lowest). The regions endowed with powers of self-government covered in WMID are, however, specific to each country and do not always align with the NUTS classification. Furthermore, the restricted definition applied to the coverage means the whole population is not covered in some countries. The file below provides the closest possible mapping of the region codes used in the Gender Statistics Database and the NUTS codes. It also contains information on the percentage (%) of the total population covered by WMID data on regions for each country, calculated based on Eurostat's 2018 data on population by region (based on NUTS 2 and NUTS 3 categories).
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 |