Introduction
Overview
This documentation covers the technical methodologies behind the CommunityScale Housing Forecast application, including population projections, housing affordability analysis, household growth modeling, and market demand estimation. Each methodology page describes the data sources, analytical approach, and key assumptions used to produce the forecasts and indicators presented in the application.
Recommended Citation
CommunityScale Housing Forecast (2025). Housing needs analysis and population projection tool. Available at: https://app.communityscale.io
@misc{communityscale2025,
title = {CommunityScale Housing Forecast},
year = {2025},
note = {Housing needs analysis and population projection tool},
url = {https://app.communityscale.io}
}
Embedding Charts
All charts in the Housing Forecast application are hosted on Datawrapper and can be embedded in external websites using standard iframe embed codes. Embedded charts automatically update when new data is released, including American Community Survey estimates, FRED economic indicators, and population forecasts. No manual intervention is required to keep embedded charts current.
Methodologies Overview
The methodologies in this application integrate data from the U.S. Census Bureau, the Department of Housing and Urban Development (HUD), the Federal Reserve Economic Data (FRED) system, and commercial data providers. Together they form a pipeline that moves from demographic projections through housing demand quantification.
- Population Forecast — Cohort-component projections using ARIMA and Leslie matrices
- Housing Affordability — Income required to afford the typical home
- Household Growth by Income — Household growth segmented by AMI categories
- 10-Year Production Target — Housing units needed to accommodate projected growth
- Market Demand — Demand by price point, tenure, and bedroom count