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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_pf)

Format

A data frame with 125 rows and 15 variables:

id

Unique identifier of the property auctioned

occupancy

The state of ccupancy of the auctioned property as an indicator of whether the property generates income; factor with 3 levels (Unoccupied, Tenant, Owner)

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 profitability features of the data set.

Examples

 data(auctions_pf)
 occupancy <- auctions_pf$occupancy