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Country Level
Filtered View
This dataset provides information on the implementation of ESI Funds, as available by February 2017. The implementation data, reported in Annual Implementation Reports by the Managing Authorities of the programmes, is disaggregated by fund, programme, priority axis, thematic objective and category of regions (where available). A detailed description of all the variables in the dataset is provided in the metadata file ESIF_Implemented Finance_Data_Description_of_Dataset_20161219.xlsx (in Attachments below). Further details on the data are provided also in the About section of FAQs accessible from the platform.
Tags esi funds 2014-2020 fund programme cf and 8 more
API Docs
Updated
April 19 2024
Views
261

2014 / 2020
Filtered View
This dataset provides information on planned total and EU financing under the different ESI Funds (2014-2020) in current prices. The data is taken from the adopted financial tables and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available). It is updated daily to reflect any modifications (i.e; thematic reallocations) agreed between the Member States and the Commission.
The data cover the more than 530 programmes and includes the EU and national co-financing covered by the adoption decision. Financial allocations in the programme financial table may change over time (i.e. transfers between themes, between funds). The first wave of major changes took place at end 2017 as a result of the allocation of the "technical adjustment" and the increase in the allocation to the Youth Employment initiative.
- For ERDF, ESF and CF the "priority" columns relate to the priority axis (financing blocks) in the programmes; the "investment priority" relates to the fixed lists of defined investment objectives set in the three specific fund Regulations.
- For the European Agricultural fund for Rural Development (EAFRD) detail is also provided by EAFRD "Focus areas" and "Measures" (the EAFRD Focus Areas are detailed in the EAFRD fund regulation - Article 5 and the EAFRD measures in Article 13-40 of the relevant Implementing Regulation).
If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results either with (1) the charts on the public platform or (2) with the pre-formatted charts profiled on this metadata page under “featured content”.
Tags esi funds 2014-2020 fund programme cf and 8 more
API Docs
Updated
April 19 2024
Views
186

2014 / 2020
Filtered View
This dataset provides information on planned total and EU financing under the different ESI Funds (2014-2020) in current prices. The data is taken from the adopted financial tables and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available). It is updated daily to reflect any modifications (i.e; thematic reallocations) agreed between the Member States and the Commission.
The data cover the more than 530 programmes and includes the EU and national co-financing covered by the adoption decision. Financial allocations in the programme financial table may change over time (i.e. transfers between themes, between funds). The first wave of major changes took place at end 2017 as a result of the allocation of the "technical adjustment" and the increase in the allocation to the Youth Employment initiative.
- For ERDF, ESF and CF the "priority" columns relate to the priority axis (financing blocks) in the programmes; the "investment priority" relates to the fixed lists of defined investment objectives set in the three specific fund Regulations.
- For the European Agricultural fund for Rural Development (EAFRD) detail is also provided by EAFRD "Focus areas" and "Measures" (the EAFRD Focus Areas are detailed in the EAFRD fund regulation - Article 5 and the EAFRD measures in Article 13-40 of the relevant Implementing Regulation).
If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results either with (1) the charts on the public platform or (2) with the pre-formatted charts profiled on this metadata page under “featured content”.
Tags esi funds 2014-2020 fund programme cf and 8 more
API Docs
Updated
April 19 2024
Views
247

2014 / 2020
Filtered View
This dataset provides information on planned total and EU financing under the different ESI Funds (2014-2020) in current prices. The data is taken from the adopted financial tables and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available). It is updated daily to reflect any modifications (i.e; thematic reallocations) agreed between the Member States and the Commission.
The data cover the more than 530 programmes and includes the EU and national co-financing covered by the adoption decision. Financial allocations in the programme financial table may change over time (i.e. transfers between themes, between funds). The first wave of major changes took place at end 2017 as a result of the allocation of the "technical adjustment" and the increase in the allocation to the Youth Employment initiative.
- For ERDF, ESF and CF the "priority" columns relate to the priority axis (financing blocks) in the programmes; the "investment priority" relates to the fixed lists of defined investment objectives set in the three specific fund Regulations.
- For the European Agricultural fund for Rural Development (EAFRD) detail is also provided by EAFRD "Focus areas" and "Measures" (the EAFRD Focus Areas are detailed in the EAFRD fund regulation - Article 5 and the EAFRD measures in Article 13-40 of the relevant Implementing Regulation).
If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results either with (1) the charts on the public platform or (2) with the pre-formatted charts profiled on this metadata page under “featured content”.
Tags esi funds 2014-2020 fund programme cf and 8 more
API Docs
Updated
April 19 2024
Views
194

Other
Filtered View
1. PURPOSE: This data set provides, in a single source, regionalised (NUTS-2) annual EU expenditure data (in current prices) for specific EU funds - ERDF, Cohesion Fund, EAFRD/EAGGF and ESF. This data can be used, among other purposes, to facilitate analysis on the effects of the EU funds.
In terms of the regionalisation of EU payments made, this work expands and replaces data sets previous published on the ERDF and Cohesion fund with additional years and additional EU funds.
The following studies on ERDF and Cohesion fund expenditure are to a large extent now superseded:
- "Geography of expenditure" Work Package 13 of the ERDF and CF ex-post evaluation 2007-2013 - http://ec.europa.eu/regional_policy/en/policy/evaluations/ec/2007-2013/#13
- "Final Report - ERDF and CF Regional Expenditure" (2000-2006) - SWECo 2008 - http://ec.europa.eu/regional_policy/sources/docgener/evaluation/pdf/expost2006/expenditure_final.pdf
- "The Territorial Effects of the Structural Funds" (1994-1999) - ESPON 2005, study 2.2.1 - http://www.espon.eu/main/Menu_Projects/Menu_ESPON2006Projects/Menu_PolicyImpactProjects/structuralfundsimpact.html
The dataset does not contain any identification of the thematic nature of the investments made. This is because there was no harmonised system or information available across funds and across programme periods to estimate the thematic composition of the investments. For the ERDF and Cohesion Fund the studies cited above provided some thematic information for specific programme periods.
2. SCOPE
2.1 REGIONALISATION: This dataset provides the most complete historic picture available to date on the annual EU payments made - in EUR in current prices of the year in question (not adjusted or expressed as “in 2015 prices”) - under different shared management funds mapped to or estimated by NUTS-2 regions;
=> presented in the column "EU_payment_annual".
The work undertaken to regionalise the payment data is predominantly based on the NUTS-2013 version as described in the final report of the 2016 WIIW study (link below). In case the EU funded programmes covered more than one NUTS-2 region the regionalisation of the payments was carried out using either (1) regionalised data provided by the managing authorities or (2) the application of certain apportioning rules to the payments in order to estimate the share of the payment by NUTS-2 region.
In regionalising the data, information on the specific national or regional funding programme, which were the source of the payments, was not retained in the processing of the dataset.

2.2 MODELLING OF “REAL” EXPENDITURE: The yearly breakdown of the dataset follows the cycle of the European Commission payments to the Member States and not the date on which real expenditures took place on the ground. This characteristic may negatively affect any subsequent analytic work to carry out policy assessments.
In order to develop a more realistic estimate of the annual profile of real expenditure, the Commission tasked BERGEN to undertake work to develop a modelling of the “real” annual expenditure on the ground, and to test the robustness and sensitivity of assumptions used (see link to final report below).
=> the modelled annual expenditure is presented in the column "Modelled_annual_expenditure" and it represents the mean of 100 000 simulations on the annual EU payments to estimate real expenditure.
=> The column "Standard_Deviation_of modelled_annual_expenditure" provides the standard deviation of the “modelled_annual_expenditure" which is the root mean square of the set of deviations between each estimated annual payment in 100 000 simulations and the mean of the estimations, presented in the column "Modelled_annual_expenditure”.
=> The column "Standard_Error_of_modelled_annual_expenditure" provides the Standard Error of the "Modelled_annual_expenditure", which is a measure of how far this mean is likely to be from its expected value; that is, its scatter in repeated ex
Tags payment timeseries historic payments annual erdf cf and 15 more
API Docs
Updated
March 7 2024
Views
588

2014 / 2020
Filtered View
This dataset provides information on planned total and EU financing under the different ESI Funds (2014-2020) in current prices. The data is taken from the adopted financial tables and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available). It is updated daily to reflect any modifications (i.e; thematic reallocations) agreed between the Member States and the Commission.
The data cover the more than 530 programmes and includes the EU and national co-financing covered by the adoption decision. Financial allocations in the programme financial table may change over time (i.e. transfers between themes, between funds). The first wave of major changes took place at end 2017 as a result of the allocation of the "technical adjustment" and the increase in the allocation to the Youth Employment initiative.
- For ERDF, ESF and CF the "priority" columns relate to the priority axis (financing blocks) in the programmes; the "investment priority" relates to the fixed lists of defined investment objectives set in the three specific fund Regulations.
- For the European Agricultural fund for Rural Development (EAFRD) detail is also provided by EAFRD "Focus areas" and "Measures" (the EAFRD Focus Areas are detailed in the EAFRD fund regulation - Article 5 and the EAFRD measures in Article 13-40 of the relevant Implementing Regulation).
If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results either with (1) the charts on the public platform or (2) with the pre-formatted charts profiled on this metadata page under “featured content”.
Tags esi funds 2014-2020 fund programme cf and 8 more
API Docs
Updated
April 19 2024
Views
180

2014 / 2020
Dataset
This dataset provides information on expected achievements (targets) set for selected common indicators defined for the each of the specific ESI funds and 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);
- For ESF / YEI only the implemented values are reported (no decided (forecast) values) and targets were not obligatory in each case.
For more information on the common indicator definitions used by each fund please go to the "Related Information" sections at the bottom of the fund specific pages.
The same data on the **programme specific indicators** (including output and result indicators) is available in this separate dataset: https://cohesiondata.ec.europa.eu/2014-2020-Indicators/ESIF-2014-2020-Achievement-Details-ERDF-CF-Program/3de9-gnka
Tags esi funds 2014-2020 common indicators fund cf and 31 more
API Docs
Updated
December 14 2023
Views
40,972

Other
Filtered View
1. PURPOSE: This data set provides, in a single source, regionalised (NUTS-2) annual EU expenditure data (in current prices) for specific EU funds - ERDF, Cohesion Fund, EAFRD/EAGGF and ESF. This data can be used, among other purposes, to facilitate analysis on the effects of the EU funds.
In terms of the regionalisation of EU payments made, this work expands and replaces data sets previous published on the ERDF and Cohesion fund with additional years and additional EU funds.
The following studies on ERDF and Cohesion fund expenditure are to a large extent now superseded:
- "Geography of expenditure" Work Package 13 of the ERDF and CF ex-post evaluation 2007-2013 - http://ec.europa.eu/regional_policy/en/policy/evaluations/ec/2007-2013/#13
- "Final Report - ERDF and CF Regional Expenditure" (2000-2006) - SWECo 2008 - http://ec.europa.eu/regional_policy/sources/docgener/evaluation/pdf/expost2006/expenditure_final.pdf
- "The Territorial Effects of the Structural Funds" (1994-1999) - ESPON 2005, study 2.2.1 - http://www.espon.eu/main/Menu_Projects/Menu_ESPON2006Projects/Menu_PolicyImpactProjects/structuralfundsimpact.html
The dataset does not contain any identification of the thematic nature of the investments made. This is because there was no harmonised system or information available across funds and across programme periods to estimate the thematic composition of the investments. For the ERDF and Cohesion Fund the studies cited above provided some thematic information for specific programme periods.
2. SCOPE
2.1 REGIONALISATION: This dataset provides the most complete historic picture available to date on the annual EU payments made - in EUR in current prices of the year in question (not adjusted or expressed as “in 2015 prices”) - under different shared management funds mapped to or estimated by NUTS-2 regions;
=> presented in the column "EU_payment_annual".
The work undertaken to regionalise the payment data is predominantly based on the NUTS-2013 version as described in the final report of the 2016 WIIW study (link below). In case the EU funded programmes covered more than one NUTS-2 region the regionalisation of the payments was carried out using either (1) regionalised data provided by the managing authorities or (2) the application of certain apportioning rules to the payments in order to estimate the share of the payment by NUTS-2 region.
In regionalising the data, information on the specific national or regional funding programme, which were the source of the payments, was not retained in the processing of the dataset.

2.2 MODELLING OF “REAL” EXPENDITURE: The yearly breakdown of the dataset follows the cycle of the European Commission payments to the Member States and not the date on which real expenditures took place on the ground. This characteristic may negatively affect any subsequent analytic work to carry out policy assessments.
In order to develop a more realistic estimate of the annual profile of real expenditure, the Commission tasked BERGEN to undertake work to develop a modelling of the “real” annual expenditure on the ground, and to test the robustness and sensitivity of assumptions used (see link to final report below).
=> the modelled annual expenditure is presented in the column "Modelled_annual_expenditure" and it represents the mean of 100 000 simulations on the annual EU payments to estimate real expenditure.
=> The column "Standard_Deviation_of modelled_annual_expenditure" provides the standard deviation of the “modelled_annual_expenditure" which is the root mean square of the set of deviations between each estimated annual payment in 100 000 simulations and the mean of the estimations, presented in the column "Modelled_annual_expenditure”.
=> The column "Standard_Error_of_modelled_annual_expenditure" provides the Standard Error of the "Modelled_annual_expenditure", which is a measure of how far this mean is likely to be from its expected value; that is, its scatter in repeated ex
Tags payment timeseries historic payments annual erdf cf and 15 more
API Docs
Updated
March 7 2024
Views
441

2014 / 2020 Categorisation
Dataset
This file contains categorisation data from the ERDF/ESF/Cohesion Fund programmes and in particular it compares **PLANNED AMOUNTS TO IMPLEMENTED INVESTMENTS**.
The data will be updated regularly to reflect updated information transmitted.
***NEW*** 03/2020 - The Commission's COVID-19 response in 2020 involves encouraging reprogramming unallocated EU budget towards the COVID-19 health response and support to the economy, particularly through supporting SMEs and workers. Check out these data stories based on this dataset:
- HEALTH: https://cohesiondata.ec.europa.eu/stories/s/In-profile-cohesion-policy-improving-health-servic/qyuv-h9j2
- SMEs: https://cohesiondata.ec.europa.eu/stories/s/An-Economy-that-works-for-people-Cohesion-Policy-s/n4ee-2h83
***NEW*** 12/2018 - CLIMATE AND BIODIVERSITY TRACKING: In December 2018 the calculation of amounts planned, decided and spend on categorisation codes (weighted 100% and 40%) for climate tracking and biodiversity tracking were added to the dataset to allow full transparency on how investment under these tracking systems are progressing. Specially designed charts providing visualisations on these tracking systems are linked to the dataset below.
***NEW*** 12/2018 - OPERATIONS (projects) SELECTED: Also in December 2018 the number of operations (projects) linked to each categorisation value reported by priority axis is reflected in the dataset. In many cases programmes provide detailed categorisation information, reporting more than one intervention field code for a specific operation. While leading to more detailed thematic information it leads to multiple reporting of some operations.
TIMING AND FREQUENCY: The categorisation system implementation values are reported once a year by the 350+ programmes at end January. It is then published in this dataset towards the end of February. Thereafter the data is updated regularly to reflect the updated information transmitted by the programmes.
This dataset currently contains data to end-2016 and end- 2017. As the data is cumulative the **ANNUAL VALUES SHOULD NOT BE AGGREGATED *** but may be compared to see progress.
STRUCTURE OF DATASET:
The planned data is provided in tables one for each priority axis (investment pillar) of each programme. The categorisation systems is defined in Implementing Regulation 215/2014 with 8 dimensions in total - http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32014R0215.
These dimension represent different ways of categorising the nature of the EU support (i.e. the intervention (activity) field, the form of finance, the territorial context, etc.).
In the programme documents only four4 dimensions were encoded for ERDF/ Cohesion Fund while five5 dimensions were encoded for ESF and can be found in the dataset. Data on three3 other dimensions is only provided in the implementation reports - Location, Economic Dimension, ERDF/CF Thematic Objective - and therefore there is no planned amount to compare.
In analysing the content of the dataset **THE DIFFERENT DIMENSIONS SHOULD BE ANALYSED SEPARATELY AS OTHERWISE DOUBLE COUNTING OF FINANCIAL AMOUNTS WILL OCCUR**.
This information note provides more detail on the categorisation system 2014-2020: http://ec.europa.eu/regional_policy/sources/docgener/informat/2014/guidance_categorisation_climate_en.pdf
ANALYSING THEMATIC CONTENT AND PROGRESS: A second dataset found here - https://cohesiondata.ec.europa.eu/EU-Level/ESIF-2014-2020-Categorisation-Crosscutting-Themes-/xns4-t7ym - provides a lookup table for understanding how the Commission uses the intervention field codes to look at cross cutting issues such as investments in "innovation", "enterprise support", etc. That "lookup" dataset also has the "climate change tracking" and "biodiversity tracking" weightings.
Tags esif cohesion fund planned implemented cf and 33 more
API Docs
Updated
April 5 2024
Views
24,013

2014 / 2020 Categorisation
Dataset
This file contains "categorisation data" from the ERDF/ESF/Cohesion Fund programmes as adopted (including modifications). The data is in current prices. It is regularly updated to reflect reprogramming notified by the programmes.
The data is provided in tables, one for each priority axis (investment pillar), for each specific programme. The categorisation system is defined in Implementing Regulation 215/2014 with 8 dimensions - http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32014R0215.
These dimension represent different ways of categorising the nature of the EU support (i.e. the intervention (activity) field, the form of finance, the territorial context, etc.).
In the programme documents only 4 dimensions were encoded for ERDF/ Cohesion Fund while 5 dimensions were encoded for ESF and can be found in the dataset. In analysing the content of the dataset the different dimension should be analysed separately - **NEVER AGGREGATE VALUES ACROSS DIMENSIONS** as otherwise double counting of the financial amounts will occur.
A second dataset found here - https://cohesiondata.ec.europa.eu/EU-Level/ESIF-2014-2020-Categorisation-Crosscutting-Themes-/xns4-t7ym - provides a lookup table for understanding how the Commission uses the intervention field codes to look at cross cutting issues such as investments in "innovation", "enterprise support", etc. That lookup dataset also has the "climate change tracking" weightings and a similar weighting system for "biodiversity tracking".
The Intervention field dimension is the most complete of the the different dimensions in terms of financial coverage. (NB although the SME initiative programmes were not asked to provide categorisation tables, because of simplified programming requirements, they have been manually added by DG REGIO.)
The total investments under other dimension may vary for different reasons (i.e. Technical assistance priority axes are not encoded in all dimensions, etc.)
If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results with the pre-formatted charts profiled on this metadata page under “featured content”.
Tags erdf esf cf 2014-2020 categorisation and 32 more
API Docs
Updated
April 19 2024
Views
8,534