The current edition of the RCI, while maintaining the structure of the previous editions, uses an updated methodological framework, to facilitate comparison over time. To highlight the change in methodology, this new edition is referred to as RCI 2.0. In addition, starting from the original data used in 2016 and 2019, the scores have been re-calculated using the new methodology, and labelled as RCI 2.0, 2016 edition, and RCI 2.0, 2019 edition, and are available for download on this website. The resulting rankings do not replace the RCI rankings published in 2016 and 2019, produced with the old methodology. This is why the scores for RCI 2.0 2019 and RCI 2.0 2016 are published without rankings.

The 2022 edition of RCI 2.0 shows large differences in regional competitiveness in the EU. In line with previous editions, it show a polycentric pattern, with a strong performance of regions hosting large urban areas in the EU. The gap between the capital city region and the rest, however, varies among EU Member States, with more competitive countries tending to have a smaller gap between their capital city region and its other regions, as well as lower internal variation. Between 2016 and 2022, regional competitiveness has improved in the less developed regions, while the performance of transition regions has been more mixed. More developed regions continued to have the highest scores, but they have converged on the EU average.

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

This dataset results from DG REGIO calculations based on Eurostat data (demo_r_mwk3_t). It presents excess mortality comparisons of the number of deaths that occurred in 2020 and 2021 with the average number of deaths that occurred in the corresponding weeks of 2015 to 2019. The age structure of the population and the deaths is not taken into account. The figures shown are rolling three week averages centred around the week in question.

Access the EUROSTAT data on their webpage - deaths by week and NUTS region - https://ec.europa.eu/eurostat/databrowser/view/demo_r_mwk3_t/default/table?lang=en - and see the EUROSTAT webpage on national and regional weekly death statistics - https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Weekly_death_statistics

Data is not available for Ireland. For Italy no data is available for the last weeks of 2021.

This dataset presents a vertical / narrow view of the longitudinal timeseries data for 2020-2021. This dataset - https://cohesiondata.ec.europa.eu/Other/2020-2021-NUTS-Excess-mortality-3-week-average-hor/kzsy-bycf - provides the same values in a horizontal / wide format.

This dataset contains the sum of EU annual payments by individual programme / project. The dataset was used as the basis for the regionalisation of historic EU payments presented in this dataset: https://cohesiondata.ec.europa.eu/Other/Historic-EU-payments-regionalised-and-modelled/tc55-7ysv
And described in this datastory:

The dataset was compiled from different sources and carries two important qualifications / shortcomings:
1. The history of ESF payments for 1998-1999 is not complete.
2. The allocation of NUTs codes is not complete and may contains several versions of NUTS codes

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.

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

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