New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings
By Geoff Boeing, Paul Waddell. 2016
143 citations recorded by the source corpus.
Current sources of data on rental housing—such as the census or commercial databases that focus on large apartment complexes—do not reflect recent market activity or the full scope of the US rental market. To address this gap, we collected, cleaned, analyzed, mapped, and visualized eleven million Craigslist rental housing listings. The data reveal fine-grained spatial and temporal patterns within and across metropolitan housing markets in the United States. We find that some metropolitan areas have only single-digit percentages of listings below fair market rent. Nontraditional sources of volunteered geographic information offer planners real-time, local-scale estimates of rent and housing characteristics currently lacking in alternative sources, such as census data.
Subfields: Economics and Econometrics, Sociology and Political Science, Transportation
View Paper: https://www.semanticscholar.org/paper/b1275e73603bb7dccf34c06b4daf99a49201c313
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Citations in the corpus
- Online rental housing market representation and the digital reproduction of urban inequality (2019, background): “As Stephens (2013: 993) argues, geospatial web platforms and technologies often “reproduce and exacerbate existing representational asymmetries” in the real world (cf. Brannon, 2017; Elwood, 2010; Leszczynski, 2016; Mattern, 2014; Thatcher et al., 2016).”