Opportunity Information: Apply for FR 6600 N 29E

The HUDRD "Exploring the Feasibility of Linking Eviction Records to Administrative Databases for HUD's Housing Choice Voucher Program" opportunity is a HUD research funding notice (NOFO) offering up to $500,000 total to support one or more cooperative agreements focused on understanding court-ordered evictions among households that participate, or previously participated, in the Housing Choice Voucher (HCV) program. HUD is looking for a study that can be carried out in one or more U.S. geographic areas where eviction court records are readily available and usable for research. The larger purpose is practical: HUD wants to learn whether eviction court data can be reliably connected to HUD's own administrative tenant records, and whether this approach could be used to monitor evictions in the voucher program over time.

A central requirement is testing the feasibility and quality of linking court-ordered eviction records with HUD administrative data for HCV tenants, particularly information collected through the HUD-50058 form. Applicants are expected to evaluate how well matches can be made between the two data sources, what identifiers are available, what the likely match rates are, where errors or bias might occur, and what limitations exist because court records vary widely by jurisdiction in content, format, and completeness. The work is meant to move beyond theory and show, with real-world records, what is possible and what is not.

Beyond linkage feasibility, HUD wants the project to quantify the incidence of court-ordered evictions among households receiving HCV assistance and among households that previously received assistance. The NOFO emphasizes the importance of timing, meaning the analysis should look carefully at when an eviction occurred relative to voucher participation (for example, during assistance, shortly after exit, or before entry) rather than treating evictions as a simple yes-or-no outcome. That timing component is important for interpreting what the eviction event might mean in the context of program participation and housing stability.

The opportunity also calls for identifying characteristics associated with evictions among HCV households. The NOFO lists a broad set of characteristics that may be relevant, including household factors, property and landlord factors, public housing authority (PHA) factors, and broader rental market conditions. It also explicitly highlights protected classes and fair housing-related characteristics such as race, color, national origin, religion, sex (including gender identity and sexual orientation), familial status, and disability. In practice, this signals that HUD is interested in whether eviction patterns differ across groups and contexts, and whether linked data could help detect disparities or risk factors that might inform policy or program operations.

A key deliverable is a recommended methodology HUD could use to track evictions among HCV households on an ongoing basis using data linkages. This implies that the selected research should not just produce findings for one location, but should also translate those lessons into a repeatable approach, including guidance on data acquisition, standardization, matching procedures, quality checks, and privacy and confidentiality considerations. HUD notes that the ideal outcome is research that is reproducible and generalizable, meaning the approach should be designed so it could be extended to additional jurisdictions rather than being a one-off analysis dependent on unique local circumstances.

Applicants are directed to review HUD's "Report to Congress on the Feasibility of Creating a National Evictions Database" to understand the broader landscape of eviction data in the U.S., HUD's eviction-related priorities, and known limitations of court data, such as inconsistent recordkeeping, missing information, differences in legal processes, and the fact that not all displacement occurs through a court-ordered eviction. This background is positioned as important context for designing a realistic study and for interpreting results responsibly.

Administratively, this is a discretionary HUD opportunity using a cooperative agreement funding instrument, which typically means HUD expects substantial involvement during the project (for example, coordination on data access, methodological decisions, and interim deliverables). The funding ceiling listed is $500,000, and HUD anticipated up to two awards. The CFDA number is 14.536, and the activity category is Housing. Eligible applicants are broad and include state, county, and local governments; special districts; independent school districts; public and private institutions of higher education; Native American tribal governments and tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with or without 501(c)(3) status; for-profit organizations (other than small businesses); and small businesses. The opportunity was posted May 25, 2022, with an original closing date of July 14, 2022, and applications were due by 11:59:59 PM Eastern Time on the deadline date.

  • The US Department of Housing and Urban Development in the housing sector is offering a public funding opportunity titled "HUDRD-Exploring the Feasibility of Linking Eviction Records to Administrative Databases for HUD’s Housing Choice Voucher Program" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 14.536.
  • This funding opportunity was created on May 25, 2022.
  • Applicants must submit their applications by Jul 14, 2022 The application deadline is 115959 PM Eastern Standard time on. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $500,000.00 in funding.
  • The number of recipients for this funding is limited to 2 candidate(s).
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses.
Apply for FR 6600 N 29E

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