6 Evaluating Housing Equity

Housing equity as a system

Housing affordability, residential segregation, and homelessness are connected outcomes of housing systems. An intervention may improve one outcome while leaving another unchanged or shifting costs onto another group. Evaluating housing equity therefore means asking whether conditions changed, for whom, where, and at what cost.

Define meaningful outcomes

Choose measures that match the problem and the intervention’s intended goals. Because a single indicator can miss important effects, use multiple measures where possible.

Affordability: Track housing cost burden, rent arrears, eviction filings, overcrowding, and the supply of homes affordable to households at different income levels. Spending more than $30\%$ of household income on housing is a common cost-burden threshold; more than $50\%$ is often used to indicate severe burden. These thresholds help comparisons, but do not show how much income remains for food, transportation, health care, and other necessities.

Segregation and access: Examine racial and economic separation across neighborhoods, access to jobs, schools, transit, and services, and whether affordable homes are available in a range of neighborhoods. Neighborhood averages can conceal important differences within a neighborhood or region.

Homelessness and housing stability: Track entries into homelessness, time spent homeless, returns to homelessness, exits to permanent housing, and housing retention. Shelter counts alone do not capture everyone experiencing homelessness, especially people staying temporarily with others or living unsheltered.

For example, a new affordable housing development may increase the number of affordable units, while household-level cost burden and housing stability measures help indicate whether people actually benefit.

Examine distributional effects

Report outcomes separately for groups that may experience housing systems differently. Relevant groups include renters and homeowners, people at different income levels, racial and ethnic groups, people with disabilities, families with children, and people experiencing homelessness. Where appropriate and safe, examine intersections among these characteristics.

Compare both rates and counts. A group with a smaller population may experience a high rate of harm but have a lower total count.

Geography matters as well: compare neighborhoods with the wider housing market, since citywide improvement can coexist with worsening conditions in a particular area. Track who receives assistance, who can access it, where new housing is built, and who may be displaced as neighborhoods change. Evaluating only program participants can miss eligible people who could not apply, were denied, or faced other barriers to participation.

Choose an evaluation design

Begin with a clear evaluation question, a baseline, and a defined follow-up period. For example, an evaluation of rental assistance might ask whether assistance reduces eviction and homelessness, and whether its effects differ by household type or neighborhood.

• Descriptive monitoring compares outcomes over time and across groups or locations. It can identify trends, but cannot by itself show that a policy caused a change.

• Comparison-group designs compare participants with similar households or communities that did not receive the intervention. Randomized assignment can strengthen causal conclusions when feasible. Otherwise, matched comparisons or difference-in-differences may help, provided their assumptions are examined.

• Qualitative research—including interviews, focus groups, and community observation—can explain why a program is or is not working, identify burdens missing from administrative data, and reveal whether people feel safe, respected, and able to remain housed.

• Cost and implementation analysis examines resources, delays, eligibility rules, service quality, and whether the program reached its intended population. A program that works for participants but reaches very few eligible households may have limited community-wide impact.

Use evidence responsibly

Use consistent definitions and document data gaps. Administrative records, surveys, neighborhood maps, and community knowledge each capture different parts of the housing system. Protect privacy when reporting small groups or sensitive information.

Evaluate interventions in context

Community interventions include rental assistance, eviction prevention, affordable housing production, tenant protections, zoning changes, housing mobility support, and permanent housing with services. Homelessness response may also include outreach, diversion, rapid re-housing, and supportive housing. Evaluate each intervention against its goals while checking for unintended effects.

For affordable housing placed in neighborhoods with better access to opportunity, examine not only units produced and household stability, but also who is housed, whether households can reach jobs and services, and whether placement contributes to greater integration. Research on affordable-housing location highlights possible trade-offs: higher-opportunity locations may improve some measures of access and integration while changing which households receive assistance.

A homelessness program may increase exits to permanent housing but still perform inequitably if people with particular needs or backgrounds are less likely to enter or complete it. Review outcomes at each stage—outreach, assessment, placement, and housing retention—and invite people with lived experience to interpret results and improve practice.

Use findings to improve policy

Equity evaluation is a repeated process rather than a single score: define outcomes, measure who benefits and who bears costs, investigate disparities, and use findings to adjust policy and implementation. Community participation helps ensure that measures reflect residents’ priorities rather than administrative convenience alone.

Strong evaluations measure affordability, segregation, and housing stability together; disaggregate outcomes by population and place; and use both quantitative and qualitative evidence. They distinguish change from cause, consider who was reached as well as who benefited, and investigate displacement, exclusion, and other unintended effects. Findings are most useful when communities and people directly affected help interpret them and shape the next policy decision.