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City Campus File 0719

Identification

Resource Type: Dataset

Resource ID: da|ra.35.180

Version: 1

DOI: 10.7807/immo:red:city:0719:v1

URL: https://fdz.rwi-essen.de/en/doi-detail/id-107807immoredcity0719v1.html


Language of Resource

Language: eng


Titles

Title: City Campus File 0719

Collective Title: RWI-GEO-RED


Primary researcher

Creators - Institution:

  • RWI – Leibniz-Institut für Wirtschaftsforschung
  • ImmobilienScout24


Origin Information

Publisher: RWI – Leibniz Institute for Economic Research

Publication date: 31.10.2020

Publication Place: Essen


Access

Availability: NotAvailable

Rights: for teaching


Contributor

Contributor - Institution:

  • RWI - Leibniz Institute for Economic Research [Editor]


Methods

Sampled Universe: all houses for sale, all apartments for sale and all apartments for rent at ImmobilienScout24

Sampling: only biggest city and additional random sampling stratified by city

Time Dimension: Longitudinal.Trend/RepeatedCrossSection

Collection Mode: Observation.ComputerBased


DataSets and Files

    Unit Type: Housing Unit

  • Number of Units:2651885
  • Number of Variables: 59
  • Type of Data: Aggregat data
    • Files:
    • File Name: PUF_WM_cities
    • File Size: 308 MB
    • File Format: dta,csv,sas

    Unit Type: Housing Unit

  • Number of Units:363577
  • Number of Variables: 60
  • Type of Data: Aggregat data
    • Files:
    • File Name: PUF_HK_cities
    • File Size: 49,3 MB
    • File Format: dta,csv,sas

    Unit Type: Housing Unit

  • Number of Units:753316
  • Number of Variables: 61
  • Type of Data: Aggregat data
    • Files:
    • File Name: PUF_WK_cities
    • File Size: 95,6 MB
    • File Format: dta,csv,sas


Keywords

  • offering prices
  • houses
  • flat
  • regional
  • small-scale

Description

Description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.


Coverage

Temporal Coverage: 2007 - 2019

Geographic coverages: DE


Relations

Related Identifiers:


Publication

  • 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.


Citation

RWI – Leibniz-Institut für Wirtschaftsforschung; ImmobilienScout24 (2020): City Campus File 0719. RWI-GEO-RED. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. doi.org/10.7807/immo:red:city:0719:v1

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