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TEAM

Housing Price/Affordability Prediction

Jonathan Scott

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We could use public housing market data (maybe with just a few cities in mind) to build a model that predicts future housing prices across the city and identifies the areas most at risk for becoming unaffordable.

One resource includes the Housing and Transportation (H+T) Affordability Index: https://htaindex.cnt.org/map/#. As well as other data that might be sourced by the US Department of the Treasury on Rent, House Prices, and Demographics.

I imagine some possible business cases that could apply include:
- Cities' governments wanting to avoid urban sprawl/flight or housing shortages. Change zoning laws or enact other policies to keep residents housed and closer to the center.
- Developers who want to have a better understanding where demand for housing might shift.
- Urban planners could better plan for the types of transportation and services required by its residents.

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