housing-affordability

UW DSSG 2019: Analysis of Accessory Dwelling Units (ADU)

Data Visualisation application to show the distribution of property values across the City of Vancouver

An ecosystem where every donation creates immediate, transparent impact through direct participant empowerment.

AI-powered Q&A system for U.S. affordable housing policy using RAG over 2,500+ HUD documents and 24 CFR

AI-driven housing recommendation engine leveraging Sheffield City Council open data. Awarded Product Innovation at Sheffield AI Hackathon May 2025.

This project utilizes a multiple linear regression (MLR) analysis to investigate whether and the extent to which the presence of Light Rail Transit (LRT) station areas, especially those in the core city of a county in the U.S., is associated with housing cost burdens.

The Socioeconomic Indicators of the Sacramento-San Joaquin Delta. This report provides updates to a set of indicators originally published in 2019 by the Delta Protection Commission, an independent California state agency. This update covers the period 2017-2022.

find affordable housing units using web scraping.

Which city is better for buying a Home - San Francisco, New York or Austin ?

Scripts for Bay Area Regional Housing Needs Assessment

Analysis of the 2018 opening of the Antioch BART station's potential effects on nearby housing cost pressures

A comprehensive analysis tool focusing on the Canadian real estate market. It integrates financial, demographic, and regional data to provide insights into housing affordability, investment opportunities, and market trends.

End-to-end analysis of U.S. housing affordability using Zillow, FRED, and Census data (2000–2025).

Streamlit housing affordability index using Zillow ZHVI, Census ACS income, SQL outputs, and Statsmodels trends.

A simulation of the "Housing by shares," a hybrid mechanism, something in between renting and buying a house.

This place hosts the supporting code for the content published in this blog article

Housing affordability analysis across 8 Australian cities (2015-2025): PIR, mortgage stress, risk modeling

Interactive housing affordability dashboard using Python, Streamlit, Random Forest, and XGBoost.

Home for All: Northern Kentucky Housing Strategies

This project examines the evolution of the Canadian housing market by analyzing the relationship between housing prices, household income, population growth, housing supply, and monetary policy.