This data story explains the gender equality indices of advantage and disadvantage:

This lookup table provides lists of the NUTS3 regions that are classed by DG REGIO with specific geographic characteristics as follows:
- Mountain regions: NUTS 3 regions having at least 50% of population and/or at least 50% of area in mountain areas;
- Island regions: NUTS 3 regions entirely composed of islands, or being part of islands;
- Sparsely populated regions: NUTS 3 regions having a population density below 12.5 inhabitants/km²;
- RUPS or Outermost territories - specifically recognised in Article 349 of the Treaty on the Functioning of the European Union.

This data story explains the gender equality indices of advantage and disadvantage:

WHAT IS EUSF?
The European Union Solidarity Fund (EUSF) was set up to respond to major natural disasters and express European solidarity to disaster-stricken regions within Europe. The Fund was created as a reaction to the severe floods in Central Europe in the summer of 2002. Since then, it has been used for disasters covering a range of different catastrophic events including floods, forest fires, earthquakes, storms and drought.

WHAT IS IN THIS DATASET?

The dataset will be updated annually.

For more information: https://ec.europa.eu/regional_policy/en/funding/solidarity-fund/

The Regional Competitiveness Index (RCI) has been measuring the major factors of competitiveness over the past ten years for all the NUTS-2 level regions across the European Union. The Index measures with more than 70 comparable indicators the ability of a region to offer an attractive and sustainable environment for firms and residents to live and work.

The impact of EU cohesion policy can be considerable, with GDP modelled at more than 10% higher in some regions thanks to the 2014-2020 and the 2021-2027 programmes. Use this story to explore the long term modelling results.

The source data used in this analysis are :
1. Based on EDGAR, the global GHG emissions database from the European Commission's Joint Research Centre. The reported data include emissions from energy, industry, buildings, transport, agriculture, and waste but they exclude emissions from shipping and aviation. These latter emissions cannot be assigned to individual regions. GHG include carbon dioxide, methane, nitrous oxide and fluorinated gasses. https://edgar.jrc.ec.europa.eu/
2. GDP and population data: https://knowledge4policy.ec.europa.eu/territorial/ardeco-database_en

This is a static dataset mapping 2014-2020 Cohesion policy's contribution to UN SDGs. From November 2022 the mapping to SDGs is being done using the main categorisation dataset: