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83 Results
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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.
Updated
June 2 2021
Views
749
This table maps the ERDF/ESF-YEI/CF programmes (Along with ENI and IPAE programmes) to relevant NUTS codes as provided by the programmes in their programme documents.
The column "Fund-Sole" indicates which funds are providing support to a specific programme and to a specific NUTS region. Some programmes are funded from several funds as shown by the column "Fund-All".
The NUTS 2010 version is used.
Updated
June 27 2022
Views
685
This dataset relates to the measure in the first CRII package that benefited all programmes with unrecovered 2019 EU pre-financing, and was automatically applied by the Commission. The 2019 annual pre-financing amounts not recovered can be used by the Member States to accelerate expenditure related to the COVID-19 outbreak. It is effectively a front loading of EU funding as the amounts not recovered in 2020 will be cleared or recovered at closure of the programming period only.
Source: Launchpad report OD_CRII_annual_pre_financing
Updated
August 19 2021
Views
595
Each row provides the name of the specific objectives (SO) and the description of the planned actions from each priority axis of each programmes under the Cohesion policy - ERDF, ESF, CF and YEI - programmes.
The SO names and action descriptions are in the original language of the programmes. Official translations are not available.
The SO names and action descriptions are in the original language of the programmes. Official translations are not available.
Updated
October 22 2018
Views
571
This dataset provides information on expected achievements (targets) set for ERDF and Cohesion Fund programmes **specific indicators** defined by national and regional programmes, the decided (forecasts from selected projects) and implemented values.
The reference date for the annual reporting of progress by the programmes achievements is the end of each calendar year.
This dataset contains:
- Time series of the cumulative amounts reported annually for decided and implemented values (i.e. 2016 values include the 2015 values);
- To avoid double counting, the cumulative values from different years **should NOT be aggregated**;
- Allows comparison of the targets year on year (targets change with reallocation of financial resources);
- Allows comparison of decided (forecast) and implemented values with the targets set (allowing users to calculate the % rate of progress);
This dataset contains:
- Time series of the cumulative amounts reported annually for decided and implemented values (i.e. 2016 values include the 2015 values);
- To avoid double counting, the cumulative values from different years **should NOT be aggregated**;
- Allows comparison of the targets year on year (targets change with reallocation of financial resources);
- Allows comparison of decided (forecast) and implemented values with the targets set (allowing users to calculate the % rate of progress);
For more information on the common indicators' definitions used by each fund please go to the "Related Information" sections at the bottom of the fund specific pages and the data on the **common indicators** is available in this separate dataset: https://cohesiondata.ec.europa.eu/2014-2020/ESIF-2014-2020-Achievement-Details/aesb-873i
Tags
No tags assigned
Updated
December 17 2021
Views
564
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.
- 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.
Updated
October 23 2018
Views
548
More than three in four EU citizens, 78%, see a positive impact of EU regional investments in their city or region (up 3 percentage points (pp) from 2015). This is one of the key findings of regional policy Eurobarometer 452, which was published today. Citizens' generally positive opinion about Regional policy is also reflected in their view that it should continue investing in all EU regions: 53% of Europeans expressed this opinion. This dataset compares awareness, positive perception and the EU funding per capita in each EU Country.
Updated
May 23 2020
Views
518
This is a historic dataset on EU budget amounts requested by Member States in their declarations of expenditure for the 2007-2013 EAFRD programming period. It provides the data per Declaration year, Quarter, Axis and Measure.
This is the final version of the dataset, considering that all the programmes for the 2007-2013 programming period are now closed.
This brochure provides a description of 2007-2013 EAFRD programmes : https://op.europa.eu/en/publication-detail/-/publication/15e0ed5e-16d6-4766-8005-53c51522e779
Updated
July 6 2020
Views
487
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:
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
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
Updated
May 25 2020
Views
470
Tags
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Updated
April 23 2021
Views
448
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