2007-2013 Cohesion Categorisation Raw Data (from Closure Reports) by European Structural and Investment Funds (ESI Funds) | Politics and Governance

About this Dataset

2007-2013 Cohesion Categorisation Raw Data (from Closure Reports)

This dataset provides the raw cumulative categorisation data on the projects selected for support as reported in ERDF/CF/ESF programme final implementation reports (FIR) as presented in the closure documentation. The dataset is the best approximation of thematic content of what was financed during 2007-2013. Each row presents a volume of EU support allocated to selected projects along with a combination of categorisation dimension codes. The Categorisation information system 2007-2013 was composed of 5 dimension providing information on: - Priority themes (activities supported) - Form of Finance - Territorial context - Location (NUTS codes) - Economic Dimension This raw data is of interest because it allows cross analysis of the different dimensions to answer questions such as: - Which industries were supported under enterprise support measures? - (Comparing Priority themes vs Economic dimension) - What sectors benefited from support to research activities - What form of finance was used to deliver support to energy efficiency measures? - (comparing form of finance vs Priority theme) More background information on the categorisation system 2007-2013 is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/data-for-research/ A version of this data as at the end of 2014 was previously published here: https://cohesiondata.ec.europa.eu/2007-2013/2007-2013-ERDF-CF-Categorisation-Projectselection-/b5xq-38ds The planned categorisation amounts under certain dimension were also published in dataset for end-2008 and end-2015 : https://cohesiondata.ec.europa.eu/2007-2013/SF-2007-2013-Categorisation-Planned-2008-and-2015/x2d8-jjj2
Publisher name: DG Regional Policy
Last updated: 2025-04-20T16:56:03Z

Tables

Table 1

@esifunds.qt3c_wiyg.table_1

49.82 KB
1000 rows
18 columns


CREATE TABLE table_1 (
  "ms" VARCHAR,
  "ms_name" VARCHAR,
  "dg" BIGINT,
  "cci" VARCHAR,
  "title" VARCHAR,
  "year" BIGINT,
  "priority_cd" BIGINT,
  "priority_description_short" VARCHAR,
  "priority_description_long" VARCHAR,
  "territory_cd" BIGINT,
  "territory" VARCHAR,
  "finance_cd" BIGINT,
  "finance" VARCHAR,
  "location_cd" VARCHAR,
  "location" VARCHAR,
  "economic_cd" BIGINT,
  "economic" VARCHAR,
  "ar_com_amnt_eur_mil" DOUBLE
);