Data and Analytics

Understanding homelessness and our community’s work to resolve it through data and analytics.

Why Data Matters

Behind every data point is a person and behind every insight, an opportunity to do better. By understanding the full picture of homelessness in our region, we can prevent housing crises, respond quickly and effectively to needs, and resolve homelessness with lasting solutions.

Prevent: Intervening early using established risk indicators

How do people first seek help to avoid or get out of homelessness, and how can we help them sooner? Data helps us understand patterns in who seeks help, where they come from, and what support they receive (or miss out on) by monitoring:

  • Spikes in first-time homelessness
  • Waitlist growth over time

Data reveals where prevention is working and where people are falling through the cracks.

Respond: Responding to crises using system navigation

Once someone enters the system, data helps inform how well and how quickly we respond. Who’s getting referred? How fast are they being placed? Where are delays happening? We can help answer these questions through tracking:

  • Assessment to referral delays
  • Certain populations seeing quicker system success
  • Individuals cycling through the system with no or little service support
Resolve: Exiting to housing and achieving long-term stability

Ending homelessness doesn’t stop with housing. We need to know what supports long-term stability and where people are returning to homelessness. Data, such as what intervention types result in the lowest return rates, helps us track outcomes over time, compare program models, and highlight what’s truly working.

We need to use data not just to house individuals, but to keep them housed.

Our Data In Action

Our data doesn’t just sit in a spreadsheet. Local governments, funders, and community coalitions use our insights to plan programs, set priorities, and measure progress.

A few examples of our data in action include:

The Regionally Coordinated Homelessness Action Plan
  • Monitoring system-wide trends to guide investments
  • Identifying population-specific needs
  • Prioritizing interventions in collaboration with stakeholders
  • Monitoring and adjusting planning and funding to match real-time needs
The City of Sacramento & Sacramento County

Local government bodies use data to inform their work, including:

  • Setting and tracking progress
  • Identifying and better serving high-need communities
State, Federal, and Independent Funding

Data enables our community to access grants and maintain accountability by:

  • Fulfilling grant application requirements
  • Tying performance outcomes to specific funding sources
  • Demonstrating impact to stakeholders
Community Accountability

Data helps people understand the community’s homelessness response progress and impact by:

  • Evaluating program effectiveness
  • Identifying where people encounter barriers to getting help
  • Informing policy recommendations
  • Guiding local service providers

What We Do

Sacramento Steps Forward is the team behind the numbers. Our role is to collect, clean, and analyze data across the Homelessness Response System (HRS), from shelter entries to housing placements; and share it with the community to drive better outcomes. We:

Collect and Connect Data

We bring together data from all our community’s providers participating in the Homelessness Management Information System (HMIS), including shelter, outreach, housing, and prevention. We also collect and analyze data from additional sources such as our Point-in-Time (PIT) Count data, local funding reports, and national and state databases.

Ensure Data Quality and Integrity

We work with providers and system partners to make data more complete, timely, and accurate. This includes technical assistance, flagging data quality issues, and supporting provider staff in improving how information is entered, tracked, and used.

Analyze and Interpret

Data on its own is just numbers. We turn it into stories, trends, and insights measuring system performance, highlighting disparities, and identifying points for intervention. This can include, but is not limited to, public dashboards, performance reports, and deep-dive briefs.

Uphold Ethical Data Use

This means respecting privacy, protecting individual information, and setting the standard for how data can be used responsibly to drive change.

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