This indicator is calculated by dividing the projected population in a region by the region total area. The level of spatial detail of this indicator is per NUTS0 and NUTS2.
Lavalle, Carlo; Jacobs Crisioni, Chris (2026): LF415 - Population density (LUISA Platform REF2014). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.XAK2TPG PID: http://data.europa.eu/89h/jrc-luisa-lf415-population-density-ref-2014
administrative boundary mapsdensity mapsEU Reference Scenario 2014LUISANUTSNUTS0NUTS2PopulationState and pressure
The compressed zip file contains the projected population density at NUTS0 and NUTS2 for the Danube region, from 2010 to 2050. The data is stored in .csv format.
The compressed zip file contains the projected population density at NUTS0 and NUTS2 , from 2010 to 2050. The data is stored in .csv format.
LUISA webpage (European Commission - JRC Science Hub)
The Cohesion policy for the programming period 2014-2020 is analyzed in terms of its likely land use and environmental impacts using the Land Use Modelling Platform (LUMP). This report describes in detail the process and the methodology by which the ex-ante impact assessment was made, and presents the results for Austria, Czech Republic, Germany, and Poland. The modelling approach can provide insights on the trade-offs between economic growth, investment policies (such as the Cohesion policy), and land use and the environment. In addition, ways to mitigate potentially negative land use and environmental impacts were explored. The future development of the LUMP is discussed in view of planned future work.
In the last decade or so many studies have looked into the impacts of infrastructure improvements on decreasing territorial disparities. In those studies population levels are usually assumed static, although future population levels likely change in response to changing accessibility levels as well as to other factors. This study uses future population distributions simulated by the LUMP land-use model to assess the impacts of large transport network investments on regional accessibility disparities. The results indicate that contrasting local urbanization patterns only modestly affect average national accessibility levels, but that those patterns have a considerable effect on regional inequality indicators. This underpins the importance of incorporating future population levels when assessing cohesion impacts of infrastructure investments.
| From date | To date |
|---|---|
| 2010-01-01 | 2050-12-31 |
