105 Results
filtered by...
Filter
Categories > Other
Sort
Sort by Most Relevant
Filter
Categories
Tags
- 100%
- 2010
- 2020
- 2021-2027 initial allocations
- 2040 vision
- 8th cohesion report
- 9th cohesion report
- accessability statement
- administration
- ageing
- agriculture
- air
- airport
- allocations 2021-2027
- ambulances
- amif
- area
- article 7
- awareness
- axis
- bar chart
- biodiversity
- biodiversity tracking
- capacity building
- carbon footprint
- categorisation data
- categorisation system
- chronology
- cities
- clean air
- climate change
- clld
- closure
- co-financing
- cohesion report 9
- cohesionfund
- commitment plan
- common output
- common result
- convergence
- counting projects; detailed themes; operations
- coverage
- covid pandemic
- covid vaccine
- creating charts
- cross-cutting_themes
- cycle paths
- cycling
- data story
- datastory
- decided finances
- declarations
- demographic change
- detailed themes
- development chronology
- digital skills
- digital transition
- dimensions
- disaster support
- disasters
- domestic waste management
- drinking water
- e-business
- e-commerce
- e-government; digitisation
- e-health
- e-learning
- e-tourism
- econometric
- econometric modelling
- economic activity
- economic sector
- economic sectors
- edrf
- education
- election results
- emfaf
- energy efficiency
- energy union
- enterprise
- enterprises
- esf participants
- esf+
- esf+ secondary theme
- esif odp
- eu allocations
- eu budget
- eu discontent
- eu solidarity fund
- eurobarometer
- eurobarometer awareness eu regional policy
- eurobarometer perception eu regional policy
- eurobarometer priorities eu regional policy
- eurosceptisism
- eurostat
- euspi
- evaluations
- ex post evaluation
- excess deaths
- faq
- fead open data
- feedback
- financial plans
- fire prevention
- fires
- flood prevention
- foot paths
- forest fires
- form of support
- forthcoming
- framework
- frequently asked questions
- ftth
- future developments
- gdp trends
- gender
- gender budgeting
- gender monitor
- gender targeting
- gender tracking
- geographic characteristics
- ghg emissions
- glass ceiling
- green
- green jobs
- green tracking
- gross fixed capital formation
- guarantee funds
- health emergencies
- heritage
- how to
- icu beds
- ijg
- impact
- implementation evaluations
- in profile
- indicators by operation
- indice
- initial allocation
- inland waterways
- integrated
- intervention_fields
- investments
- ipa
- island
- iti
- just transition
- kohesio
- large enterprises
- loan
- loan funds
- loands
- location
- lookup
- low carbon transport
- macro region
- macro-regional and sea basin strategies
- mainstreaming
- maritime safety
- measure level
- medecines
- medicine
- member states
- mff
- monitoring
- most deprived
- mountain
- national parks
- natura 2000
- natural areas
- nature
- new enterprises
- nomenclature des unités territoriales
- nuts 2 2016
- nuts 2010
- nuts allocation
- nuts codes
- nuts3
- operational programme
- outermost
- over programming
- pa
- pandemic
- payment execution
- payments
- peer to peer
- perceptions
- performance
- performance framework
- performance review
- photovoltaic
- pie chart
- planned development
- pollution
- port
- ppe
- pre-accession
- pre-financing
- preliminary allocations
- programming outcome
- progress
- project selection
- qanda
- raw data
- recycling
- region
- regional coverage
- regional development trap
- regional gdp
- regional innovation
- regions
- reprogrammming
- research institutes
- reserve
- resources
- results
- review
- rtd
- rup
- rural development
- sanitation
- scatterplot
- scores
- sdg 6
- sectoral data
- selected operations
- selection rate
- singaling
- skills
- small enterprises
- smart grids
- sme
- sme financing
- social
- social progress
- solar
- sparsely populated
- specific indicators
- specific objective
- start-ups
- strategies
- structural funds
- studies
- sud
- sump
- survey
- sustainable development goals
- ta
- taiex
- technology
- ten-t
- territorial development
- territorial focus
- territory types
- thematic allocations
- thematic data
- thematic objectives
- themes
- theory based
- theory based evaluation
- time
- time series
- totaluncashedrecoveryamountfromyear
- tourist attractions
- track
- transnational
- uban transport
- urban development
- urban mobility
- user feedback
- user profile
- user satisfaction
- user surveysts
- uwwtd
- vaccination
- vaccines
- variation
- ventilators
- venture capital
- visualization
- vocational skills
- waste management
- waste treatment
- waste water
- water
- water conservation
- water framework
- water supply
- wellbeing
- wind energy
- working capital
- year
- yei participants
- z scores
- 2019
- aid intensity
- benchmarking
- blog
- carbon intensity
- circular economy
- citizens’ perception
- clean urban transport
- climate mitigation
- climate tracking
- cohesion report
- counterfactual
- cr9
- crii+
- deprived communities
- drought
- earthquakes
- eligibility
- emergency services
- enterprise support
- eu funding per capita
- eu-spi
- european regional competitiveness index
- eusf
- female advantage
- female disadvantage
- flying flags
- ghg
- hospitals
- indicator
- inequality
- infrastructure
- initial pre-financing
- inter modal
- interreg
- ip
- jtf
- less developped
- loans
- low carbon
- member state
- migration
- more developped
- multi modal
- non-paper
- nuts 3
- outputs
- performance reserve
- priority theme
- programmes
- projects
- public health
- public investment
- r+d activities
- rail
- rates
- regional competitiveness
- regional competitiveness index 2019
- renewables
- reprogramming
- rtd activities
- rtd infrastructure
- rural
- science parks
- sdgs
- sectors
- smart growth
- social progress index
- solidarity
- specific funds
- statistics
- storms
- story
- success
- sustainable urban development
- technology institutes
- territory
- thematic concentration
- thematic investment volumes
- theme
- transition
- un
- universities
- urban
- user survey
- vaccine
- annual pre-financing
- beneficiaries
- beyond gdp
- categories of region
- cci
- clean transport
- co2
- competitiveness
- core
- costs
- decommitment
- efficiency
- eu regional policy
- firms
- gender equality
- guarantees
- interim payments
- net zero
- nuts 2
- operations
- paid
- participation
- partnership agreement
- react-eu
- recoveries
- regression
- sustainable
- tracking
- user guide
- 1988-1993
- 1994-1999
- 2000-2006
- 2021-2027
- climate action
- climate adaptation
- coronavirus response
- decarbonisation
- decided
- equity
- eu
- financial instruments
- fund of funds
- green deal
- healthcare
- historic data
- investment progress
- mp
- population
- spi
- targets
- vcf
- annual
- cohesion
- coronavirus
- eonomometric
- finances implemented
- funds
- gdp
- major projects
- rci
- eaggf
- erdf cf esf yei 2014-2020
- eu countries
- eu payment
- eu payments
- index
- intervention fields
- modelling
- payment timeseries
- regional policy
- regionalised
- covid19
- eni
- fead
- health
- historic payments
- ipae
- nuts
- nuts2
- absorption
- achievements
- communciation
- crii
- nuts-2
- fire
- indicators
- culture
- floods
- implemented
- risk prevention
- tourism
- expenditure
- covid
- evaluation
- thematic objectives erdf esf cf 2014-2020
- planned
- selected
- covid-19
- esif
- common indicators
- intervention field
- territorial delivery mechanism
- territorial dimension
- form of finance
- categorisation
- business development
- esf participation
- labour market
- social inclusion
- 2014-2020 allocations
- education infrastructure
- health infrastructure
- multimodal
- ports
- rtdi
- spending category
- technical assistance
- waste water treatment
- air quality
- broadband
- environment
- railway
- road
- transport
- urban transport
- energy
- innovation
- research
- smes
- cohesion fund
- priority axis
- category of region
- thematic objective
- esi funds
- fund
- programme
- emff
- yei
- eafrd
- cf
- 2014-2020
- dg regional and urban policy
- core indicators
- esf
- erdf
- 2007-2013
- cohesion policy
105 Results
filtered by
Categories > Other
Clear All
On this page, you can explore a selection of interactive maps and charts presenting rising Euroscepticism.
Updated
September 27 2023
Views
1,298
WHAT IS EUSF? The European Union Solidarity Fund (EUSF) was set up to respond to major natural disasters and express European solidarity to disaster-stricken regions within Europe. The Fund was created as a reaction to the severe floods in Central Europe in the summer of 2002. Since then, it has been used for disasters covering a range of different catastrophic events including floods, forest fires, earthquakes, storms and drought.
The dataset presents financial and other information on the applications submitted for EUSF support between 002 and 2020.
For more information: https://ec.europa.eu/regional_policy/en/funding/solidarity-fund/
Tags
No tags assigned
Updated
December 13 2022
Views
568
This data story explains the gender equality indices of advantage and disadvantage:
Tags
No tags assigned
Updated
September 22 2021
Views
190
Story
This accessibility statement relates to the cohesion open data platform. The website is designed to be used by as many people as possible, including people with disabilities.
Updated
April 18 2024
Views
872
The source data used in this analysis are :
1. Based on EDGAR, the global GHG emissions database from the European Commission's Joint Research Centre. The reported data include emissions from energy, industry, buildings, transport, agriculture, and waste but they exclude emissions from shipping and aviation. These latter emissions cannot be assigned to individual regions. GHG include carbon dioxide, methane, nitrous oxide and fluorinated gasses. https://edgar.jrc.ec.europa.eu/
2. GDP and population data: https://knowledge4policy.ec.europa.eu/territorial/ardeco-database_en
1. Based on EDGAR, the global GHG emissions database from the European Commission's Joint Research Centre. The reported data include emissions from energy, industry, buildings, transport, agriculture, and waste but they exclude emissions from shipping and aviation. These latter emissions cannot be assigned to individual regions. GHG include carbon dioxide, methane, nitrous oxide and fluorinated gasses. https://edgar.jrc.ec.europa.eu/
2. GDP and population data: https://knowledge4policy.ec.europa.eu/territorial/ardeco-database_en
Tags
No tags assigned
Updated
October 2 2023
Views
265
WHAT IS EUSF? The European Union Solidarity Fund (EUSF) was set up to respond to major natural disasters and express European solidarity to disaster-stricken regions within Europe. The Fund was created as a reaction to the severe floods in Central Europe in the summer of 2002. Since then, it has been used for disasters covering a range of different catastrophic events including floods, forest fires, earthquakes, storms and drought.
The dataset presents financial and other information on the applications submitted for EUSF support between 002 and 2020.
For more information: https://ec.europa.eu/regional_policy/en/funding/solidarity-fund/
Updated
December 13 2022
Views
1,039
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 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".
=> 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.
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
=> 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
Updated
March 7 2024
Views
593
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.
Tags
No tags assigned
Updated
June 1 2022
Views
211
The current edition of the RCI, while maintaining the structure of the previous editions, uses an updated methodological framework, to facilitate comparison over time. To highlight the change in methodology, this new edition is referred to as RCI 2.0. In addition, starting from the original data used in 2016 and 2019, the scores have been re-calculated using the new methodology, and labelled as RCI 2.0, 2016 edition, and RCI 2.0, 2019 edition, and are available for download on this website. The resulting rankings do not replace the RCI rankings published in 2016 and 2019, produced with the old methodology. This is why the scores for RCI 2.0 2019 and RCI 2.0 2016 are published without rankings.
The 2022 edition of RCI 2.0 shows large differences in regional competitiveness in the EU. In line with previous editions, it show a polycentric pattern, with a strong performance of regions hosting large urban areas in the EU. The gap between the capital city region and the rest, however, varies among EU Member States, with more competitive countries tending to have a smaller gap between their capital city region and its other regions, as well as lower internal variation. Between 2016 and 2022, regional competitiveness has improved in the less developed regions, while the performance of transition regions has been more mixed. More developed regions continued to have the highest scores, but they have converged on the EU average.
Tags
No tags assigned
Updated
May 10 2023
Views
431
This data story explains the gender equality indices of advantage and disadvantage:
Tags
No tags assigned
Updated
October 7 2021
Views
119