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Unknowns Registry

What we still do not know

An authoritative evidence institution should publish its unanswered questions. These gaps are a research agenda: what is unknown, why it matters, who may hold relevant records, what blocks an answer, and what would resolve the question.

UNK-01Critical

How many people placed into housing remain housed at 12 and 24 months, measured consistently across all nine counties?

Why it matters
Placement counts without retention cannot establish durable resolution.
Likely record holders
Continuums of Care · HMIS leads · county homelessness departments · housing providers
Methodological obstacle
Incompatible definitions, privacy restrictions, and weak cross-county longitudinal linkage.
What would resolve it
Harmonized cohort definitions and privacy-preserving cross-system longitudinal analysis.
UNK-02Critical

What happens to people 30, 90, 180, and 365 days after an encampment clearance?

Why it matters
Site closure is not equivalent to ending homelessness.
Likely record holders
cities · counties · outreach contractors · shelter operators · HMIS leads
Methodological obstacle
Operations are usually measured as site events rather than person-level longitudinal outcomes.
What would resolve it
Person- and site-level follow-up with documented destinations and recurrence checks.
UNK-03Critical

Where does housing displacement originate compared with where homelessness becomes visible and services are concentrated?

Why it matters
Regional displacement may be produced in one jurisdiction while fiscal and service burdens are concentrated elsewhere.
Likely record holders
CoCs · counties · cities · HMIS leads · court systems · housing agencies
Methodological obstacle
Last stable address, displacement location, first unsheltered location, and service geography are rarely linked.
What would resolve it
Regional longitudinal mobility dataset with harmonized geographic fields.
UNK-04High

How many people are living in vehicles, and what happens after towing, impoundment, or vehicle loss?

Why it matters
Vehicle homelessness is strategically important in suburban geographies, working households, and families, but is poorly measured.
Likely record holders
PIT teams · parking agencies · police departments · tow contractors · safe parking providers
Methodological obstacle
Enumeration difficulty and fragmented administrative records.
What would resolve it
Linked vehicle-residency, towing, safe-parking, and housing-outcome records.
UNK-05High

What is the scale of hidden homelessness across couch surfing, doubled-up households, unstable motel residence, and informal occupancy?

Why it matters
Street-centered measurement misses substantial housing precarity and prevention opportunity.
Likely record holders
schools · Census products · tenant organizations · social services · motel programs
Methodological obstacle
No single operational definition or complete administrative universe.
What would resolve it
Mixed-method estimation using survey, education, service, and local administrative data.
UNK-06Critical

What are mortality, morbidity, isolation, safety, and care-access outcomes after housing placement?

Why it matters
Housing placement is an important outcome but not the endpoint of health analysis.
Likely record holders
public health departments · medical examiners · managed care plans · PSH providers
Methodological obstacle
Housing and health systems are analyzed in separate silos.
What would resolve it
Privacy-preserving linkage of placement, retention, health utilization, and mortality data.
UNK-07Critical

What is the cost per durable outcome for major contracts and providers?

Why it matters
Appropriation and activity counts do not establish cost-effectiveness.
Likely record holders
contracting agencies · auditors · providers · HMIS leads
Methodological obstacle
Expenditures, unique persons, exits, retention, and returns are rarely joined at contract level.
What would resolve it
Contract-to-outcome data model with common retention intervals and transparent denominators.
UNK-08Critical

Can individual homelessness trajectories be followed across county and CoC boundaries?

Why it matters
Administrative boundaries can create false narratives about migration, duplication, and responsibility.
Likely record holders
HDIS · CoCs · HMIS leads · counties
Methodological obstacle
Privacy, identifier matching, and fragmented governance.
What would resolve it
State-supported privacy-preserving linkage with transparent governance and research access controls.