AEI Housing Center · Good Neighbors

Count the days.Know the names.Reduce the pressure.

The Good Neighbors Nowcast shows how long neighbors stay homeless in shelter, how many are counted, and how many years of pay it takes to buy a home, community by community.

Who? How long? How many? What are the Housing Resolutions?

Ask your community

Days Count · community report

From your by-name list. Community-reported; not a PIT count.

HUD reference loading…

Days: mean days in emergency shelter and Safe Haven (SPM 1a method); nights outside are not counted. Natural Mean ≈55 days is a Good Neighbors benchmark, not a target.

Open Days →

Lower Housing Pressure, Fewer Days of Homelessness.

AEI Housing Center · Good Neighbors Housing Center   About the Good Neighbors Index   Terms of use
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AEI Housing Center · Good Neighbors

Good Neighbors Nowcast

Count the days. Know the names. Reduce the pressure.

Who? How long? How many? What are the Housing Resolutions?

Good Neighbors ProAIAI-assisted data analysis. For research use;
verify each figure at its primary source.
AI informs. Research validates.Humans decide.
2023
PIT counts people. Days Count adds observed time. Housing Pressure describes the environment. HUD SPM 1A measures observed shelter-system duration in emergency shelter and Safe Haven. Unsheltered exposure remains separate because it is outside this clock.

Clock
55 Natural Mean Days

Mean classes: A ≤55 · B >55–75 · C >75–100 · D >100–150 · E >150 days

Annual count and days · history for this location

Each year uses available paired communities after the selected coverage filters. PIT totals are January snapshots, not cumulative people across years. Coverage changes can move totals. No 2020 large-CoC pressure is observed; 2021 PIT provenance is unresolved.

The policy primer · A quarterly framework creates a monthly practice
D0–D6 + DT0–DT6 publication-aligned framework

Days Count

A day is the unit a neighbor lives. PIT estimates how many people are experiencing homelessness on a single night. v15 makes Mean Days the primary public clock, retains Median Days, and adds the signed Tail Gap = Mean − Median. Days Count adds observed time within the shelter-response system. v15 leads with Mean Days, retains Median Days, and adds the signed Mean − Median Tail Gap. Housing Pressure describes the housing environment in which displacement and resolution occur. Good Neighbors keeps those measures distinct so a community can see the stock, the observed clock, and the market context without turning them into one synthetic score.

Lead with Mean Days; keep the distribution visible.

The national comparison uses HUD SPM 1A observed shelter-system duration. Mean Days is sensitive to longer stays; Median Days locates the middle; Tail Gap shows their separation. Natural Mean ≈55 days is a low-pressure structural benchmark, not a causal target. It is a community statistic within defined shelter-system universes, not a complete record of each person’s homelessness episode. Days spent unsheltered are not measured by this clock. The public national source exposes four SPM 1A duration fields and no numeric national SPM 1B field; local by-name and coordinated-entry records may support separate process analysis, but they are not silently substituted for national observed evidence.

Read the clock beside Housing Pressure.

Housing Pressure is the ratio of median home price to median household income. The replicated national evidence shows a large descriptive gradient in observed shelter duration across pressure bands. D6 reproduces the within-community Housing Pressure association for Median Days, while DT6 shows that Tail diagnostics primarily describe persistent between-community differences rather than a simple one-for-one annual law. Compare places within a band, follow each place over time, and investigate why some communities resolve shelter stays faster or slower than peers. These comparisons identify questions; they do not establish that Housing Pressure or any particular policy caused the observed duration.

Keep the annual count as the anchor.

The PIT count records people on a January night. It is neither the annual number experiencing homelessness nor total displacement days. Counts, rates per 1,000 residents, shelter duration and the unsheltered share should remain distinct. A falling count can coexist with longer stays. Every reading must name its year, geography, coverage and denominator.

Count the rental homes the market already provides.

Rental share can hide an absolute truth. A larger stock of single-family and small-building homes gives households more homes that can be rented, especially at two bedrooms and above. The Rental Nowcast therefore counts homes and bedrooms by rent band before interpreting percentages. It sits within Days Count because it describes the practical inventory a rehousing team can search, without treating stock composition as a causal estimate.

Connect measurement to the supply conversation.

Reduce Pressure carries the full End the Ban periodic-table experience inside Days Count: national and state views; selectable cell and color metrics; state or national scales; detailed or collapsed lot sizes; and four starter-home thresholds. The table makes lot size, land value and home-value-to-income visible. Its default 4.0× threshold provides a useful visual connection, while the housing-supply tool’s county-based new-home ratio remains distinct from the CoC-wide Housing Pressure measure.

Quarterly cadence creates a new narrative rhythm. A national quarterly report can give each community a reason to maintain a monthly Counting Days report. Together, communities contribute a shared narrative and call to action; independently, they write, challenge and advance the findings. Count the days. Know the names. Reduce the pressure.

Research status: D6 publication gate passed within the frozen retrospective scope. The latest complete matched joint-process profile is 2023 and covers 323 of 367 canonical Good Neighbors geographies (88%). FY2025 SPM 1A and mature/final 2026 PIT remain protected for prospective confirmation. This interface contains aggregate public data, not person-level histories. Authorship concept: EW Frizzell. Research and implementation assistance: OpenAI.

Sources, definitions, coverage and review notes
Researchers Resources

Dive into every option behind the story

The full research views, each with its own timeline: the Days Count periodic table and scatterplots, the starter-home periodic table, the Good Neighbors Index, the Rental Nowcast view, the System Shocks review, and the Nowcast Table of every measure as recorded.

The tools behind the chapters: Rental Nowcast ↗ · Good Neighbors Index Toolkit ↗ · Starter Home Policy Explorer ↗
To act on them: State Housing Supply Legislation Tracker ↗ · Strong Foundations Playbook ↗

Casting