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

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

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.

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”.