Auctions in a Distressed Real Estate Market in Italy: Physical Features of Property.

Data describing Real Estate (RE) distressed market, with a focus on property foreclosures in North-East Italy between 2000 and 2016. The data were collected by Canesi and Marella by means of a survey sent to financial institutions, courts of law and different associations of public notaries. The aim of the survey was to record real estate auctions, and their technical and socio-economic features. The data provide information about housing market trends and performance as well as demographic features.

Usage

data(auctions_phy)

Format

A data frame with 125 rows and 15 variables:

id: Unique identifier of the property auctioned
type_class: Type of auctioned property; factor with 7 levels (Factory, Residence, Retail, Mixed, Build-on Land, Office, Agricultural Building)
gross_building_area: Gross Building Area (m2)
quality: An ordinal factor that describes the quality of the property, including design work and materials employed (Poor, Adequate, Fair, Good, Excellent)
state_maintenance: An ordinal factor that describes the state of maintenance of the property, if it is new, recently renovated or damaged over the years (Poor, Adequate, Fair, Good, Excellent)

Source

Canesi, Rubina, and Giuliano Marella. "Data from RE distressed market: Properties auctions in Italy." Data in Brief 18 (2018): 319-324. doi:10.1016/j.dib.2018.03.009

Details

This table contains the physical features of the properties auctioned.

Examples

 data(auctions_phy)
 quality <- auctions_phy$quality