This dataset presents information on EU payments to the Regional Policy supported programmes.
Annual snapshots are provided in the data and therefore the data must be filtered by year to have an accurate view of the total EU planned amount and payments made.
Data is reported on cumulative basis, i.e. the amounts shown in 2017 represent the cumulative payments made from the beginning of the programming period (2014-2017 up to date).
The dataset is updated on a daily basis.

The definitions set by Commission guidance - https://ec.europa.eu/regional_policy/sources/docoffic/2014/working/guidance_monitoring_eval_en.pdf - for the common indicators used in 2014-2020.

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);

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

The report compares immediate and longer-term direct results with outputs achieved in the ESF programmes. For example, the number of ‘participants in employment’ is divided by the number of unemployed plus the number of inactive participants. The resulting percentage tells the share of participants who obtained a particular type of result, measured by a common indicator. The types of results are
• job-search (CR01,compared to the number of inactive participants),
• being in education or training (CR02, compared to the total of participants),
• gaining a qualification (CR03, compared to the total of participants),
• in employment (CR04, compared to unemployed+inactive) and
• a combination of all the above positive outcomes (CR01+CR02+CR03+CR04, compared to the total of participants), moreover,
• in employment 6 months after leaving (CR06, compared to unemployed+inactive),
• improved labour market situation 6 months after leaving (CR07, compared to employed) and finally
• participants above 54 years of age in employment 6 months after leaving (CR08, compared to unemployed+inactive).
The output, the number of participants includes persons who were still receiving support at the time of reporting and persons who dropped out of the operations before completion. If the comparison with the results was made only by taking into account the participants who complete the operation, the success rates would be higher. (The number of participants who complete the operation is not reported though.)
The report provides the success rates for all ESF operational programmes (CCIs) and priority axes at the level of the investment priority, broken down by category of region. Data on ESF common result indicators are taken from Tables 2A and 2B; data on ESF common output indicators are taken from Table 4A of the annual implementation reports.

Explore the data at national and programme level using interactive charts.

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”.

Investment spending under the European Structural and Investment Funds for 2014-2020 doubled from 28% by the end of 2018 to 56% by the end of 2020. Find out more.

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”.

We are frequently approached by researchers for data on cohesion policy financing broken down using the the NUTS territorial classification. Here we set out what is available at NUTS level.

This dataset includes the figures by Fund (European Regional Development Fund, European Social Fund, Cohesion Fund,Youth Employment Initiative).