JRC Data Catalogue
DATASETCompleted

UDP - Share of old buildings, 2011 (JRC LUISA Reference Scenario 2016)

QR code

Percentage of residential houses, which have been built before 1950. Based on National Census and building stock statistics.

Contributors

How to cite

Baranzelli, Claudia; Ronchi, Silvia (2026): UDP - Share of old buildings, 2011 (JRC LUISA Reference Scenario 2016). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.ZW1CP38 PID: http://data.europa.eu/89h/jrc-luisa-udp-shareoldbuild-reference-2016

Keywords

citydegurbEUFUAmetroNational Censusnon-metroNUTSold housesperecentage (%)Reference Scenario 2016share old buildingsUrban indicator

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The download link contains the information at City, FUA, metro and non-metro regions, degree of urbanisation and country levels from 01-01-2011 to 31-12-2011 in the European Union. The data is stored in text/csv format.

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The download link contains the information at City, FUA, metro and non-metro regions, degree of urbanisation and country levels from 01-01-2011 to 31-12-2011 in the European Union. The data is stored in text/csv format.

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The Urban Data Platform is a joint initiative of the Directorate General Joint Research Centre (DG JRC) and the Directorate General for Regional and Urban Policy (DG REGIO) of the European Commission. It provides an access point to exchange information on the status and trends of European cities and regions.It visualizes data via maps at three different geographical units including EU-wide Cities/Greater Cities, Functional Urban Areas and Metropolitan Regions. It also includes time series graphs for selected cities, for Metropolitan Regions, and by degree of urbanisation.

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The LUISA Territorial Modelling Platform is primarily used for the ex-ante evaluation of EC policies that have a direct or indirect territorial impact

Publications

Publication
Baranzelli C, Lavalle C, Sgobbi A, Aurambout J, Trombetti M, Jacobs C, Cristobal Garcia J, Kancs D and Kavalov B. Regional patterns of energy production and consumption factors in EuropeExploratory Project EREBILAND - European Regional Energy Balance and Innovation Landscape . EUR 27697. Luxembourg (Luxembourg): Publications Office of the European Union; 2015. JRC100024
Publications Office of the European Union, Luxembourg, Luxembourg
  • The Resilient Energy Union with Forward Looking Climate Change Policy is one the ten priorities of the overarching Agenda for Jobs, Growth, Fairness and Democratic Change of the European Commission. The Communication on the Energy Union package and its Annex clearly identify EU-wide targets and policy objectives.

    The Exploratory Project EREBILAND (European Regional Energy Balance and Innovation Landscape) aims at supporting efficient patterns of regional energy supply and demand in Europe. Integration of spatial scales, from EU-wide to regional or local, and a cross-sector approach, are at the core of the project.

    The approach is based on territorial disaggregation of information, and the development of optimisation scenarios at regional scale. It is centred around the Land Use-based Integrated Sustainability Assessment (LUISA) modelling platform for the assessment of policies and investments that have spatial impacts, in interaction with the JRC-EU-TIMES model – a bottom-up, technology-rich model representing the EU28+ energy system – and the model RHOMOLO that integrates economic and some social dimensions of regional development.

    Based on currently operational and up-to-date tools available within the EC, the purpose of the EREBILAND project is to:

    provide an overview of the current trends of regional energy production and consumption patterns, and

    link these patterns to the structural characteristics of the regions, among which: population density and urbanisation trends, development of different economic sectors, and availability of resources and technological infrastructure.

    This report presents the outcomes of the EREBILAND Project during its first year.

    In particular, electricity generation and energy consumed by transport sector are analysed, under the EU Energy Reference Scenario 2013, throughout the period 2015 - 2030.

    Main results of the analysis dedicated to the electricity generation are:

    Electricity generation from biomass increases in the large majority of European regions; a slight decrease can be found only in regions producing electricity already in 2015 above the EU28 average (in Denmark).

    Electricity produced from biogas experiences less steep changes then biomass, with almost 50% of NUTS2 decreasing or not changing considerably the amount of electricity produced from this source.

    Coal: electricity generated from lignite undergoes a significant reduction in all regions using this fuel already in 2015. Conversely, trends in electricity generated from hard coal are more stable, with some regions experiencing an increase: the average change is higher than 50% (a few regions in Eastern European countries), but steeper increases can be found in Austria, Sweden and the United Kingdom.

    The amount of electricity generated from gas generally decreases across Europe from 2015 to 2030, with an average decrease higher than 90%.

    Geothermal is the least diffuse source used to generate electricity in Europe and only few regions are represented.

    Hydroelectric: the amount of electricity generated from this source is in general forecasted to increase in Europe from 2015 to 2030. Exceptions are a few regions in Bulgaria, Czech Republic, Germany, Spain, Greece, Hungary, Portugal, Romania, Sweden and most NUTS2 in the UK.

    Electricity generated from nuclear is forecasted to decrease in the majority of the regions with active nuclear power plants in 2015.

    Oil: the majority of the regions generating electricity from this fuel in 2015, experience a decrease in 2030. Notable exceptions are a few regions in Austria, Belgium, Germany, Greece, Hungary, Italy, Poland and Slovenia.

    Electricity produced from solar is forecasted to increase in almost three quarters of European regions. The only regions where electricity from solar is forecasted to decrease are located in Greece and Romania.

    Wind: electricity generated from wind, both on- and off-shore, is in general forecasted to increase in Europe. The largest increases in electricity generated from on-shore wind (above 5 times the 2015 generation levels) can be found in few regions in Czech Republic, Finland, Lubuskie in Poland, the north-est NUTS2 in Romania, Western Slovakia and Slovenia.

    Main results of the analysis dedicated to energy consumption of the transport sector are:

    In more than two thirds of European regions, the energy supplied to cars (fuel: diesel) decreases from 2015 to 2030, with an average decrease of almost 20%.

    The energy supplied to cars (fuels: gas and LPG) is forecasted to decrease throughout all European regions. The decrease is more gradual in few regions in Denmark, Portugal, Greece, Spain and Italy.

    Energy supplied to cars (fuel: gasoline) is forecasted to decrease in more than 80% of the European regions, with an average decrease of 27%.

    The energy supplied to heavy duty trucks (fuel: diesel) is forecasted to progressively decrease from 2015 to 2030 in 66% of the European regions, with an average decrease of more than 8%.

    The energy supplied to light duty trucks (fuel: diesel) is forecasted to steeply decrease throughout European regions.

    The energy supplied to light duty trucks (fuel: gasoline) is forecasted to increase in more than 90% of European regions, with an average increase of more than 40% from 2015 to 2030. The highest increases (above 70%) take place in eleven regions in Germany, Walloon Brabant in Belgium, Flevoland in the Netherlands, Lower Austria and Eastern Macedonia and Thrace.

    The energy supplied to inter-city buses running on diesel is forecasted to increase from 2015 to 2030 in the large majority of European regions, with an average increase of more than 19%.

    The energy supplied to urban buses (fuels: gas, diesel and gasoline) is going to moderately increase from 2015 to 2030 in almost 90% regions throughout EU-28, with an average growth of 15%.

    Energy supplied to motorcycles (fuel: gasoline) is forecasted to increase in more than 80% of European NUTS2, with an average growth of 16%.

    Energy supplied to cars (fuels: hybrid, electric and hydrogen) is forecasted to increase throughout Europe, in general with sharp increases.

    Energy supplied to heavy duty trucks (fuel: gas) and light duty trucks (fuel: LPG) is forecasted to increase in all European regions from 2015 to 2020. In most NUTS2 this trend is kept or even accelerates between 2020 and 2030. The only regions where the trend is reversed (lower energy supplied in 2030 compared to 2020) are located in Poland, Greece, Finland (only Åland) and Croatia (only Jadranska Hrvatska).

Publication
Baranzelli C; Aurambout J; Lavalle C. European Regional Energy Balance and Innovation Landscape (EREBILAND) - Energy demand of buildings. Deliverable 4: Case Studies of Optimisation. Luxembourg (Luxembourg): Publications Office of the European Union; 2016. JRC104326
Publications Office of the European Union, Luxembourg, Luxembourg
  • The Exploratory Project EREBILAND (European Regional Energy Balance and Innovation Landscape) aims at supporting efficient patterns of regional energy supply and demand in Europe. Integration of spatial scales, from EU-wide to regional or local, and a cross-sector approach, are at the core of the project.

    Energy targets are set at European level, but their realisation requires an implementation strategy that is tailored at EU Member States and regional level. National and regional specificities have to be taken on board when defining the priority of intervention for different sectors, from restructuring the energy sector to setting up efficiency targets for different categories of energy users.

    The purpose of the EREBILAND project is to:

    provide an overview of the current trends of regional energy production and consumption patterns, and

    link these patterns to the structural characteristics of the regions, among which: population density and urbanisation trends, development of different economic sectors, and availability of resources and technological infrastructure.

    Energy spent in buildings represents a large share of the overall energy consumption in the EU-28 (40% of total final energy consumption and around 55% of electricity consumption in 2012). The consumption depends on the functional and structural characteristics of buildings. It is also influenced by other factors such as location and climate.

    This document describes a methodological approach developed as part of the EREBILAND project to estimate the energy demand of buildings at the local scale. It also provides and update on datasets compiled as part of the project and presents provisional results for two regional case-studies in Italy and the Netherlands.

Temporal coverage

From date To date
2015-11-01 2015-12-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-KCTP (at) ec.europa.eu
Update frequency
annual

The event occurs once a year.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Health

dataset theme covering the domain of health which includes health conditions, diseases, treatments, healthcare services, and health policies

Population and society

dataset theme covering the domains of population and society, where population refers to the total number of people residing within various geographic levels from cities to the global scale, and society denotes a collective of individuals engaged in continuous social interaction within a common territory, often under the same political and cultural norms

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
European Union
Issued date
2011-01-01
Created date
14 Dec 2018 10:43
Modified date
17 Jan 2024 13:34
Landing page
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙