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Data Scraping

 

Our Team

Housing Stock

supply gains

Supply and Equity

Data Scraping

We are piloting data scraping methods in five mid-sized cities: Charlottetown, Saint John, Ottawa, Hamilton, and Victoria. Long-term rental listing ads from Kijiji are scraped and analysed for patterns and characteristics of the rental stock. This data will eventually be scraped monthly, from multiple rental websites across Canada. The data collected will be maintained through a GIS-based monitoring tool that will provide data visualisation on stock, prices, and dwelling characteristics.

This data on its own can provide a snapshot of the availability of affordable market rentals at any given point. Do municipalities have enough affordable homes available to meet demand? The value of this data is enriched when taken in conjunction with existing datasets, such as those for property tax assessments or provincial income tax filings. Are these market rentals actually ‘affordable’? Overtime, we will be able to assess net gains and losses in affordable housing. Are we losing more affordable units than we are gaining?

Maps

Average Price per Census Tract

Victoria, June 2021

Average Price per Census Tract

Ottawa, June 2021

Average Price per Census Tract

Charlottetown, June 2021

Average Price per Census Tract

Hamilton, June 2021

Average Price per Census Tract

St. John, June 2021