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RWI-GEO-REDX: Regional Real Estate Price Index for Germany, 2008-02/2019
weiterer Titel:
Regionale Preisindices des deutschen Immobilienmarkt

Based on the RWI-GEO-RED data that base on the data provided by ImmobilienScout24 hedonic housing price indices are estimated. The indices are on the labor market distict, district/county and municipality level (Gemeindeverbaende). We conduct a hedonic price regression that covers characteristics of the object as well as regional fixed effects. The hedonic regression is estimated separately for houses for sale as well as apartments for rent and for sale. There are three different specifications: first, the overall time development from 1/2018 to 2/2019 on district level given yearly and quaterly; second, cross-regional differences for each year separately and time development within one region from 1/2018 to 12/2018 (municipality, district and labor market region) and for the last quarter of 2018 (district and labor market region); third, the time-region fixed effect between 2008 and 2018, which is used to determine the price changes for all three region types to the base year of 2008. The indices for 2019 rely on the first two month of the year. The definition of labor market areas rely on RWI (2018), Überprüfung des Zuschnitts von Arbeitsmarktregionen für die Neuabgrenzung des GRW-Fördergebiets ab 2021. RWI Projektberichte.

price indices, real estate, house sales, rental apartments, apartment sales, Germany, labor market regions
RWI, Immobilienschout24, Sandra Schaffner, Larissa Klick
Geografischer Raum:
ImmobilienScout24 is the largest listing website for real estate in Germany offering residential as well as commercial properties. Only residential properies are used for the estimated priceindices. Moreover, offers that were deactivated temporarily (possibly because a buyer or renter was found but the contract has not yet been signed) or updated are only used as the last version published online. The questionnaire filled in by vendor does not contain compulsory statements as far as equipment of the property is concerned. The price for the poperty is given by the vendor save for some few exceptions. It has to be kept in mind that the data set includes advertising prices only, not transaction prices.
Zeitliche Dimension:


The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between January 2007 and February 2019. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated labor market region, district and municipality level.
weitere Datenbeschreibung:

Geographic Unit

Number of Units: 402 districts; 4.498 municipalities and 182 market regions

Number of Variables: 176

File Size: 5.39 MB

Type of Data: aggregate data

File Name: RWIGEOREDX_HouPurc_v3; RWIGEOREDX_ApRent_v3; RWIGEOREDX_ApPurc_v3


The indices reflect advertising prices not realized transaction prices or current rents.

no commercial use
Klick, Larissa; Schaffner, Sandra; RWI; ImmobilienScout24 (2019): RWI-GEO-REDX: Regional Real Estate Price Index for Germany, 2008-02/2019. Version: 2. RWI – Leibniz Institute for Economic Research. Dataset. http://doi.org/10.7807/immo:redx:v3
weitere Beschreibung:

Is new version of: http://doi.org/10.7807/immo:redx:v2



Klick, Larissa;Schaffner, Sandra(2019): Regional Real Estate Price Index.  RWI-GEO-REDX. Version:1. RWI – Leibniz-Institut für Wirtschaftsforschung. Dataset. http://doi.org/10.7807/immo:redx:v2

Klick, L. und S. Schaffner (2019), FDZ Data description: Regional Real Estate Price Indices for Germany (RWI-GEO-REDX), RWI Projektberichte, Essen.

Boelmann, B. und S. Schaffner (2019), FDZ Data description: Real-Estate Data for Germany (RWI-GEO-RED) - Advertisements on the Internet Platform ImmobilienScout24), RWI Projektberichte, Essen.

RWI (2018), Überprüfung des Zuschnitts von Arbeitsmarktregionen für die Neuabgrenzung des GRW-Fördergebiets ab 2021. RWI Projektberichte.

JEL Classifications:
R31, R32