Homeless Risk Reduction is a configuration of ArcGIS Pro that can be used by data analysts to learn which areas in their community are at risk for generating homelessness, and how to prioritize and site intervention programs.

In many communities data collection focuses on people experiencing homelessness and there is limited information available on where homelessness originates. Homeless Prevention leverages authoritative data and uses indicators (for example, unemployment rate, rental prices, public assistance, health insurance coverage, minority population, veterans) to compute a vulnerability to homelessness layer. The resulting risk surface is then used to prioritize intervention program siting. The results of this tool can be used as a foundation for public education and awareness campaigns, operational improvements, and policy discussions across an entire community.


Homeless Risk Reduction requires specific software.

Requirement Description
Solution deployment and map authoring
  • ArcGIS Pro 2.3 - 2.5 (Basic, Standard, or Advanced)
Solution hosting
  • ArcGIS Online, or
  • ArcGIS Enterprise

What you get

When you download Homeless Risk Reduction, you'll find the following files:

Item Description
HomelessRiskReduction.ppkx An ArcGIS Pro project package used by data analysts to identify homelessness risk across neighborhoods.

What's new

Below are the release dates and notes for Homeless Risk Reduction.

Date Description
June 2019
  • A series of minor fixes to the geoprocessing tools
January 2019
  • First release of Homeless Risk Reduction

Get started with Homelessness Risk Reduction

Automated deployment option

This ArcGIS Solution can now be quickly deployed in your organization with the ArcGIS Solutions Deployment Tool.

You may be interested in

ArcGIS Solutions for Local Government includes several related maps and apps that also can be configured in your organization:

Additional information

Learn more about the unique capabilities in this solution and the business value it provides an organization.