SNAPS Data Strategy & Usability

HUD and our Federal partners are committed to assisting communities to end homelessness for individuals and families. Collecting complete and accurate data about homelessness in your communities is a core element to achieve the goal.

To end homelessness, communities must be able to analyze data at both the system and project levels and to evaluate their efforts by subpopulation, across project types, and in other ways.  Not only must communities continue increasing HMIS bed coverage and improving data quality, they also should be using data to gain a more holistic picture of the communities’ progress toward ending homelessness. To assist with this effort, HUD has produced a number of products and tools to assist communities to improve data quality and engage in system and project-level analysis.

CoC Data Quality Brief

High quality data is essential to understanding the health of a community's homeless assistance system and knowing where performance improvements are needed. This brief provides HUD’s vision for data quality, introduces tools HUD has developed to support data quality improvement, and recommends a process for implementing a data quality management program.

Date Published: May 2017

System Performance Improvement Briefs

The Department of Housing and Urban Development (HUD) developed seven System Performance Measures to help communities gauge their progress toward the goal of ending homelessness. Each Continuum of Care (CoC) is expected to use these measures to evaluate how well homeless systems are functioning and where improvements are necessary. These two System Performance Improvement briefs highlight different aspects to help CoCs better understand and improve their homeless system.

Date Published: July 2017

Project Rating and Ranking Tool

The CoC Program is an essential resource in helping HUD meet the national goals of preventing and ending homelessness in the United States. CoCs should use objective, performance based scoring criteria and selection priorities that are approved by the CoC to determine the extent to which each project addresses HUD’s policy priorities. CoCs should reallocate funds to new projects whenever reallocation would improve outcomes and reduce homelessness, and consider how much each project spends to serve and house an individual or family as compared to other projects serving similar populations. This optional tool can be used by CoCs to evaluate projects and set ranking priorities within the CoC.

Date Published: July 2017

Data Strategy Announcement

This message from SNAPS provides grantees, stakeholders, and partners with information about the increasing importance of data and new resources to aid in better data quality and analysis.

Date Published: May 2017

HMIS Case Study: Using Data Visualization to Foster a Data-Driven Culture - Snohomish County Human Services

Snohomish Data Dashboards

Snohomish County Human Services Department (HSD), the CoC for Snohomish County, has created data visualizations, including public-facing data dashboards, as part of a bigger plan to create a performance culture and transform their homeless system.