Seattle/King County System Performance Measures, FY2015-FY2024

What this dataset measures

Tests whether King County's homeless system moves people into housing as well as other large regions, using the measures HUD requires every CoC to report. Same 67 CoCs as homelessness-rate-vs-rent.

Geography

United States, King County, WA, Seattle, WA

Unit of observation

CoC by federal fiscal year

Update cadence

Annually, after HUD updates its SPM data file

Curator

FactHub

Curated data tables

Seattle/King County System Performance Measures, FY2015-FY2024

King County rows from spm-panel, with readable column names.

Unit of observation: Fiscal year

spm_king.csv text/csv · 590 bytes

All 10 rows 9 columns Download the file

All 10 rows

fy	bedCoveragePct percent	daysHomelessAvg days	daysHomelessMedian days	returnsWithin24MonthsPct percent	firstTimePer10k per 10,000 residents	outreachSuccessfulExitPct percent	exitsToPermanentHousingPct percent	pshRetentionPct percent
2015	79.47	76	24	11.7	31.1	16.8	30.5	94.1
2016	79.35	79	28	12.1	42.4	27	30.2	94.1
2017	77.53	90	39	14.2	45.5	30.9	31.9	94.4
2018	80.69	102	44	15.1	44.3	51.1	34.7	95.3
2019	81.71	104	47	18.8	36.8	62.7	36.6	95.4
2020	81.63	117	55	21.9	37.3	73.9	32.4	96.5
2021	85.62	164	86	17.4	29.1	65.7	42.4	97
2022	86.62	175	97	15.3	33.9	71	39.2	95.9
2023	83.31	188.9	111	14.9	36.6	68.1	46.9	95.9
2024	86.26	206.8	119	15.3	32.3	76.1	49.2	94.4

9 field definitions

Field	Type	Meaning	Units	Value type
fy	integer	Federal fiscal year	—	observed
bedCoveragePct	number	HMIS bed coverage	percent	derived
daysHomelessAvg	number	M1 average days homeless, ES+SH	days	observed
daysHomelessMedian	number	M1 median days homeless, ES+SH	days	observed
returnsWithin24MonthsPct	number	M2 returns within 24 months	percent	derived
firstTimePer10k	number	M5.1 first-time homeless per 10,000 residents	per 10,000 residents	derived
outreachSuccessfulExitPct	number	M7a outreach exits to temporary or permanent destinations	percent	derived
exitsToPermanentHousingPct	number	M7b.1 exits to permanent housing	percent	derived
pshRetentionPct	number	M7b.2 PSH retention or exit to permanent housing	percent	derived

Supporting files

Source snapshots, manifests, quality reports, documentation, and other materials used to produce or review this release.

• build_spm.js Transformation manifest · text/javascript · 6.2 KB (6,301 bytes)

  Node.js script that builds spm-panel from the HUD workbook sheets (exported to CSV).

• rank.js Transformation manifest · text/javascript · 2.7 KB (2,754 bytes)

  Node.js script that ranks WA-500 among the large CoCs, with and without data-quality exclusions.

• csvlib.js Transformation manifest · text/javascript · 518 bytes

  CSV helper used by the SPM scripts.

• build_spm_dataset.js Transformation manifest · text/javascript · 23.2 KB (23,731 bytes)

  Node.js script that builds spm-king and the saved analyses in this dataset.

• findings-spm.md Documentation · text/markdown · 16.5 KB (16,875 bytes)

  Method notes, results, KCRHA cross-check and data-quality caveats for the System Performance Measures.

Derived from

This dataset uses data from these FactHub dataset versions.

• Homelessness rate vs. rent in 67 large U.S. Continuums of Care, 2015-2025 Version 1

  CoC list and population for first-time homelessness per 10,000 residents.

Sources

1. HUD Exchange, CoC System Performance Measures Data Since FY 2015 CoC-level System Performance Measures, one sheet per fiscal year FY2015-FY2024, as submitted by each CoC.

   Retrieved October 10, 2026. U.S. government work (public domain). Public domain; not rehosted here.

   Archived copy captured October 10, 2026

2. KCRHA, "Understanding System Performance Measures: A HUD Federal Report Overview," CoC Board, April 1, 2026 KCRHA's own FY2024 and FY2025 figures and its explanation that record cleanup drove part of the FY2025 changes.

   Retrieved October 10, 2026. Public agency document. Linked, not rehosted.

   Archived copy captured October 10, 2026

Limitations and reproducibility

Reproducible from public sources: Export each sheet of the HUD SPM workbook to CSV, run spm-build-script with the CoC list and panel from dataset homelessness-rate-vs-rent, then rank-script and spm-dataset-script (Node.js).

• SPMs are self-reported from each CoC's HMIS and not audited by HUD; CoCs may revise prior years.
• HMIS bed coverage differs by CoC and year (King County 77-87%); domestic-violence providers are excluded everywhere.
• Descriptive comparisons; differences may reflect data practice, coverage or system design as well as performance.
• HUD's FY2024 file has zeroed transitional-housing return counts for most CoCs; only the combined "All" columns are used.
• HUD revised exit-destination categories in its FY2024 HMIS Data Standards.