System Performance Measures, 67 large CoCs, 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

System Performance Measures, 67 large CoCs, FY2015-FY2024

HUD SPM counts and percentages for each CoC and fiscal year, with population, first-time homelessness per 10,000 and data-quality flags.

Unit of observation: CoC by fiscal year (Oct 1 to Sep 30)

spm_panel.csv text/csv · 164.7 KB (168,681 bytes)

The first 100 of 670 rows 45 columns Download the full file

The first 100 of 670 rows

coc_code	short_name	fy	spm_code_used	category	hic_nondv_beds_es_th beds	hmis_nondv_beds_es_th beds	bed_coverage_pct_reported percent	m1_es_sh_avg days	m1_es_sh_median days	m1_es_sh_th_avg days	m1_es_sh_th_median days	m2_exits_to_ph people	m2_ret6 people	m2_ret12 people	m2_ret24 people	m5_first_time_es_sh_th people	m5_first_time_es_sh_th_ph people	m7a_so_exits people	m7a_so_temp people	m7a_so_perm people	m7a_pct_reported percent	m7b1_exits people	m7b1_to_ph people	m7b1_pct_reported percent	m7b2_universe people	m7b2_success people	m7b2_pct_reported percent	bed_coverage_pct percent	m2_pct6 percent	m2_pct12 percent	m2_pct24 percent	m7a_pct percent	m7b1_pct percent	m7b2_pct percent	population people	m5_per10k_es_sh_th per 10,000 residents	m5_per10k_es_sh_th_ph per 10,000 residents	dq_flags	dq_unknown_dest_pct_SO percent	dq_unknown_dest_pct_ES percent	dq_unknown_dest_pct_TH percent	dq_unknown_dest_pct_RRH percent	dq_unknown_dest_pct_PSH percent	pop_note
NY-600	New York City	2015	NY-600	Major Cities	72308	65813	91	255	177	261	183	25748	4154	5802	7982	60770	62145	2576	631	645	50	111632	48650	44	11506	10674	93	91.02	16.13	22.53	31	49.53	43.58	92.77	8550405	71.07	72.68	—	—	—	—	—	—	—
CA-600	Los Angeles (excl. Long Beach/Pasadena/Glendale)	2015	CA-600	Major Cities	12721	7156	56	53	20	121	50	6273	320	518	851	14994	20862	348	99	171	78	21741	7534	35	11854	11397	96	56.25	5.1	8.26	13.57	77.59	34.65	96.14	9352849	16.03	22.31	bed_cov<85%	—	—	—	—	—	—
IL-510	Chicago	2015	IL-510	Major Cities	5194	4117	79	134	67	154	85	4591	413	629	932	11154	12417	2115	638	216	40	12310	4291	35	6764	6455	95	79.26	9	13.7	20.3	40.38	34.86	95.43	2720556	41	45.64	bed_cov<85%	—	—	—	—	—	—
WA-500	Seattle/King County	2015	WA-500	Major Cities	5836	4638	79	76	24	140	50	2441	117	196	286	6574	9330	1460	159	86	17	9277	2827	30	5656	5320	94	79.47	4.79	8.03	11.72	16.78	30.47	94.06	2117125	31.05	44.07	bed_cov<85%	—	—	—	—	—	—
CO-503	Metro Denver	2015	CO-503	Major Cities	4559	3667	80	51	12	134	34	2040	218	342	449	8436	9424	1550	23	74	6	8449	1931	23	3037	2896	95	80.43	10.69	16.76	22.01	6.26	22.85	95.36	3077326	27.41	30.62	bed_cov<85%	—	—	—	—	—	—
CA-601	San Diego	2015	CA-601	Major Cities	4066	3775	93	61	30	148	74	4316	561	837	1121	6901	8358	1505	405	189	39	10100	4241	42	3153	2915	92	92.84	13	19.39	25.97	39.47	41.99	92.45	3299521	20.92	25.33	—	—	—	—	—	—	—
CA-500	San Jose/Santa Clara	2015	CA-500	Major Cities	1943	1883	97	39	12	94	30	1510	160	238	316	3566	4297	270	3	15	7	5332	1225	23	1451	1387	96	96.91	10.6	15.76	20.93	6.67	22.97	95.59	1918044	18.59	22.4	—	—	—	—	—	—	—
CA-502	Oakland/Alameda	2015	CA-502	Major Cities	1531	1256	82	85	53	170	96	1966	180	268	373	2052	3154	599	100	138	40	3183	1663	52	2474	2349	95	82.04	9.16	13.63	18.97	39.73	52.25	94.95	1638215	12.53	19.25	bed_cov<85%	—	—	—	—	—	—
AZ-502	Phoenix/Maricopa	2015	AZ-502	Major Cities	3752	3107	83	58	30	99	47	3594	279	461	650	9498	10479	4587	495	312	18	12675	4035	32	5278	4950	94	82.81	7.76	12.83	18.09	17.59	31.83	93.79	4167947	22.79	25.14	bed_cov<85%	—	—	—	—	—	—
CA-501	San Francisco	2015	CA-501	Major Cities	2419	1829	76	303	240	316	262	6930	276	605	976	2904	3396	0	0	0	—	5436	689	13	6965	6516	94	75.61	3.98	8.73	14.08	—	12.67	93.55	864816	33.58	39.27	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
NV-500	Las Vegas/Clark	2015	NV-500	Major Cities	3180	3168	100	37	9	82	16	2806	426	525	619	7478	8582	280	60	48	39	8533	3002	35	1420	1313	92	99.62	15.18	18.71	22.06	38.57	35.18	92.46	2114801	35.36	40.58	—	—	—	—	—	—	—
OR-501	Portland/Multnomah	2015	OR-501	Major Cities	1535	1318	86	43	18	96	36	3178	308	502	786	4036	6471	87	3	66	79	7163	3260	46	3774	3453	91	85.86	9.69	15.8	24.73	79.31	45.51	91.49	790294	51.07	81.88	—	—	—	—	—	—	—
CA-602	Orange County CA	2015	CA-602	Smaller Cities, Counties, and Regional CoCs	1619	1209	75	36	13	118	43	1295	41	71	148	3651	5134	1874	37	34	4	5633	2216	39	2514	2407	96	74.68	3.17	5.48	11.43	3.79	39.34	95.74	3169776	11.52	16.2	bed_cov<85%	—	—	—	—	—	—
CA-503	Sacramento	2015	CA-503	Major Cities	1474	1254	85	64	35	130	61	2280	178	223	277	3123	3640	208	24	154	86	4023	2479	62	2486	2375	96	85.07	7.81	9.78	12.15	85.58	61.62	95.53	1501335	20.8	24.25	—	—	—	—	—	—	—
MA-500	Boston	2015	MA-500	Major Cities	6191	5444	88	412	276	414	282	721	74	94	125	8514	9471	1440	16	36	4	1240	764	62	5517	5066	92	87.93	10.26	13.04	17.34	3.61	61.61	91.83	669469	127.18	141.47	—	—	—	—	—	—	—
DC-500	District of Columbia	2015	DC-500	Major Cities	6570	6374	97	180	57	203	79	5291	354	592	807	9743	10329	581	259	322	100	5600	3924	70	3088	3007	97	97.02	6.69	11.19	15.25	100	70.07	97.38	672228	144.94	153.65	—	—	—	—	—	—	—
PA-500	Philadelphia	2015	PA-500	Major Cities	5440	4495	83	209	114	276	171	2944	193	313	434	6241	6677	0	0	0	—	2618	1089	42	5096	4949	97	82.63	6.56	10.63	14.74	—	41.6	97.12	1567442	39.82	42.6	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
CA-511	Stockton/San Joaquin	2015	CA-511	Smaller Cities, Counties, and Regional CoCs	1431	1317	92	57	20	103	30	193	12	19	31	2730	2871	486	62	43	22	3333	655	20	461	448	97	92.03	6.22	9.84	16.06	21.6	19.65	97.18	726106	37.6	39.54	—	—	—	—	—	—	—
HI-501	Honolulu	2015	HI-501	Smaller Cities, Counties, and Regional CoCs	3375	3175	94	199	96	349	250	2842	214	372	596	3015	3691	2072	127	196	16	3501	2068	59	1140	1076	94	94.07	7.53	13.09	20.97	15.59	59.07	94.39	998714	30.19	36.96	—	—	—	—	—	—	—
CA-514	Fresno/Madera	2015	CA-514	Major Cities	686	448	65	57	19	137	86	801	42	78	178	645	1162	269	160	20	67	1107	790	71	664	606	91	65.31	5.24	9.74	22.22	66.91	71.36	91.27	1129859	5.71	10.28	bed_cov<85%	—	—	—	—	—	—
CA-609	San Bernardino	2015	CA-609	Smaller Cities, Counties, and Regional CoCs	692	518	75	26	16	66	16	223	17	23	42	3777	6131	1785	680	286	54	5383	2019	38	959	897	94	74.86	7.62	10.31	18.83	54.12	37.51	93.53	2128133	17.75	28.81	bed_cov<85%	—	—	—	—	—	—
CA-608	Riverside	2015	CA-608	Smaller Cities, Counties, and Regional CoCs	1119	1011	90	50	20	80	30	1077	111	157	221	3413	4039	820	503	60	69	4613	1668	36	786	747	95	90.35	10.31	14.58	20.52	68.66	36.16	95.04	2361026	14.46	17.11	—	—	—	—	—	—	—
NY-603	Nassau/Suffolk	2015	NY-603	Smaller Cities, Counties, and Regional CoCs	2860	1538	54	133	80	142	84	1312	114	165	241	3604	4174	0	0	0	—	6109	2533	41	1978	1764	89	53.78	8.69	12.58	18.37	—	41.46	89.18	2862937	12.59	14.58	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
MN-500	Minneapolis/Hennepin	2015	MN-500	Major Cities	2818	2465	87	45	22	69	26	3407	147	316	688	7835	8753	384	135	137	71	7490	2131	28	5070	4624	91	87.47	4.31	9.28	20.19	70.83	28.45	91.2	1223149	64.06	71.56	—	—	—	—	—	—	—
FL-600	Miami-Dade	2015	FL-600	Major Cities	3035	2622	86	109	71	160	91	3808	563	770	890	4140	5042	5087	4559	233	94	6555	4165	64	3636	3553	98	86.39	14.78	20.22	23.37	94.2	63.54	97.72	2693117	15.37	18.72	—	—	—	—	—	—	—
TX-600	Dallas/Collin	2015	TX-600	Major Cities	3060	738	24	68	15	179	68	1515	43	99	140	2585	3846	83	26	56	99	3329	1032	31	2943	2756	94	24.12	2.84	6.53	9.24	98.8	31	93.65	3467512	7.45	11.09	bed_cov<85%	—	—	—	—	—	—
TX-500	San Antonio/Bexar	2015	TX-500	Major Cities	2099	2004	95	105	19	213	96	2251	154	333	495	3309	5177	41	9	24	80	4088	1740	43	2081	2016	97	95.47	6.84	14.79	21.99	80.49	42.56	96.88	1897753	17.44	27.28	—	—	—	—	—	—	—
CA-606	Long Beach	2015	CA-606	Major Cities	651	446	69	42	35	119	71	746	17	33	60	981	1465	0	0	0	—	1302	605	46	1231	1158	94	68.51	2.28	4.42	8.04	—	46.47	94.07	474172	20.69	30.9	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
TX-700	Houston/Harris/Fort Bend/Montgomery	2015	TX-700	Major Cities	2513	2473	98	43	14	93	31	2532	338	487	726	9962	11818	1474	239	323	38	7612	3441	45	2719	2521	93	98.41	13.35	19.23	28.67	38.13	45.2	92.72	5791674	17.2	20.41	—	—	—	—	—	—	—
TX-503	Austin/Travis	2015	TX-503	Major Cities	908	908	100	68	34	90	39	1117	83	125	185	3015	3283	43	0	2	5	4179	805	19	1279	1205	94	100	7.43	11.19	16.56	4.65	19.26	94.21	1176558	25.63	27.9	—	—	—	—	—	—	—
GA-500	Atlanta	2015	GA-500	Major Cities	3567	2621	73	68	36	134	61	4240	528	777	1084	7054	9739	619	190	109	48	7486	2674	36	2245	2021	90	73.48	12.45	18.33	25.57	48.3	35.72	90.02	463875	152.07	209.95	bed_cov<85%	—	—	—	—	—	—
CA-505	Contra Costa	2015	CA-505	Smaller Cities, Counties, and Regional CoCs	831	473	57	103	72	159	99	1212	100	146	194	1195	1922	1136	334	7	30	1972	923	47	929	902	97	56.92	8.25	12.05	16.01	30.02	46.81	97.09	1126745	10.61	17.06	bed_cov<85%	—	—	—	—	—	—
FL-507	Orlando/Orange/Osceola/Seminole	2015	FL-507	Smaller Cities, Counties, and Regional CoCs	1929	1750	91	59	21	125	51	1973	202	285	419	4309	5432	940	415	163	61	4997	2536	51	435	395	91	90.72	10.24	14.45	21.24	61.49	50.75	90.8	2061263	20.9	26.35	—	—	—	—	—	—	—
NM-500	Albuquerque	2015	NM-500	Major Cities	705	457	65	37	22	88	32	1566	124	234	346	2093	2762	755	47	10	8	3004	1126	37	1001	946	95	64.82	7.92	14.94	22.09	7.55	37.48	94.51	559131	37.43	49.4	bed_cov<85%	—	—	—	—	—	—
CA-604	Bakersfield/Kern	2015	CA-604	Smaller Cities, Counties, and Regional CoCs	594	587	99	76	31	108	42	154	12	23	31	1367	1855	106	89	16	99	2037	916	45	1490	1452	97	98.82	7.79	14.94	20.13	99.06	44.97	97.45	882176	15.5	21.03	—	—	—	—	—	—	—
WA-503	Tacoma/Pierce	2015	WA-503	Smaller Cities, Counties, and Regional CoCs	844	804	95	64	30	123	47	2723	140	204	298	2755	4018	0	0	0	—	4144	1759	42	645	582	90	95.26	5.14	7.49	10.94	—	42.45	90.23	843954	32.64	47.61	M7a_no_SO_exits	—	—	—	—	—	—
FL-601	Fort Lauderdale/Broward	2015	FL-601	Smaller Cities, Counties, and Regional CoCs	1824	1453	80	71	52	127	68	1984	318	449	522	2850	3171	4078	3254	64	81	3615	1648	46	842	818	97	79.66	16.03	22.63	26.31	81.36	45.59	97.15	1896425	15.03	16.72	bed_cov<85%	—	—	—	—	—	—
TX-601	Fort Worth/Tarrant/Parker	2015	TX-601	Major Cities	1521	1220	80	129	16	152	22	1321	63	72	102	6055	7280	570	36	25	11	3867	1009	26	1690	1608	95	80.21	4.77	5.45	7.72	10.7	26.09	95.15	2108540	28.72	34.53	bed_cov<85%	—	—	—	—	—	—
NJ-504	Newark/Essex	2015	NJ-504	Smaller Cities, Counties, and Regional CoCs	1897	1890	100	97	61	123	78	1674	40	75	134	3349	3964	74	8	24	43	5520	2668	48	1396	1208	87	99.63	2.39	4.48	8	43.24	48.33	86.53	797434	42	49.71	—	—	—	—	—	—	—
UT-500	Salt Lake	2015	UT-500	Smaller Cities, Counties, and Regional CoCs	1553	1396	90	66	28	94	37	1989	439	643	821	4585	5042	1179	23	89	9	4498	1729	38	2039	1910	94	89.89	22.07	32.33	41.28	9.5	38.44	93.67	1107314	41.41	45.53	—	—	—	—	—	—	—
OH-503	Columbus/Franklin	2015	OH-503	Major Cities	1040	1024	98	45	26	54	29	6161	791	1287	1969	6813	7019	376	54	153	55	9453	4432	47	2536	2396	94	98.46	12.84	20.89	31.96	55.05	46.88	94.48	1251722	54.43	56.07	—	—	—	—	—	—	—
CA-611	Ventura	2015	CA-611	Smaller Cities, Counties, and Regional CoCs	379	223	59	38	9	90	23	434	9	20	41	977	1108	338	71	101	51	1349	399	30	235	225	96	58.84	2.07	4.61	9.45	50.89	29.58	95.74	850536	11.49	13.03	bed_cov<85%	—	—	—	—	—	—
MO-604	Kansas City/Jackson/Wyandotte	2015	MO-604M	*	1500	1308	87	153	0	228	0	1844	350	503	589	3521	4860	198	12	117	65	45205	1358	3	2496	2142	86	87.2	18.98	27.28	31.94	65.15	3	85.82	850992	—	—	MO-604M_only_excl_Wyandotte_KS	—	—	—	—	—	—
AZ-501	Tucson/Pima	2015	AZ-501	Major Cities	1871	1845	99	42	15	110	36	2315	312	479	564	3247	3547	423	122	48	40	4723	1646	35	1032	980	95	98.61	13.48	20.69	24.36	40.19	34.85	94.96	1010025	32.15	35.12	—	—	—	—	—	—	—
CA-512	San Mateo	2015	CA-512	Smaller Cities, Counties, and Regional CoCs	745	639	86	34	26	89	67	1081	103	146	219	1796	1896	5	1	4	100	2213	949	43	450	433	96	85.77	9.53	13.51	20.26	100	42.88	96.22	765135	23.47	24.78	—	—	—	—	—	—	—
FL-605	West Palm Beach/Palm Beach	2015	FL-605	Smaller Cities, Counties, and Regional CoCs	578	550	95	60	37	102	49	1676	61	118	233	1526	2117	183	66	27	51	2446	1620	66	602	584	97	95.16	3.64	7.04	13.9	50.82	66.23	97.01	1422789	10.73	14.88	—	—	—	—	—	—	—
FL-502	Pinellas	2015	FL-502	Smaller Cities, Counties, and Regional CoCs	2388	2234	94	61	31	81	37	2864	626	839	1055	5749	6015	968	818	78	93	8497	2397	28	1008	935	93	93.55	21.86	29.29	36.84	92.56	28.21	92.76	949827	60.53	63.33	—	—	—	—	—	—	—
NC-505	Charlotte/Mecklenburg	2015	NC-505	Major Cities	1471	1380	94	66	30	104	42	1216	80	130	202	4082	4479	73	5	42	64	4997	1847	37	895	862	96	93.81	6.58	10.69	16.61	64.38	36.96	96.31	1034070	39.48	43.31	—	—	—	—	—	—	—
TN-504	Nashville/Davidson	2015	TN-504	Major Cities	2128	369	17	518	385	389	212	1313	44	57	114	1361	2221	111	7	9	14	1932	1169	61	483	430	89	17.34	3.35	4.34	8.68	14.41	60.51	89.03	678889	20.05	32.72	bed_cov<85%	—	—	—	—	—	—
FL-501	Tampa/Hillsborough	2015	FL-501	Smaller Cities, Counties, and Regional CoCs	1148	1005	88	56	28	91	48	796	47	85	139	3098	4008	300	141	6	49	4107	1748	43	1240	1153	93	87.54	5.9	10.68	17.46	49	42.56	92.98	1349050	22.96	29.71	—	—	—	—	—	—	—
OK-502	Oklahoma City	2015	OK-502	Major Cities	1302	1185	91	70	17	85	21	214	4	7	10	3092	3190	0	0	0	—	2557	321	13	635	584	92	91.01	1.87	3.27	4.67	—	12.55	91.97	631263	48.98	50.53	M7a_no_SO_exits	—	—	—	—	—	—
KY-501	Louisville/Jefferson	2015	KY-501	Major Cities	1018	1018	100	41	13	72	19	1651	329	408	502	3670	3836	384	212	67	73	6074	1553	26	2452	2252	92	100	19.93	24.71	30.41	72.66	25.57	91.84	763623	48.06	50.23	—	—	—	—	—	—	—
OH-502	Cleveland/Cuyahoga	2015	OH-502	Major Cities	1798	1351	75	83	30	120	61	2883	470	698	941	3680	4198	584	180	134	54	5304	2128	40	4292	4233	99	75.14	16.3	24.21	32.64	53.77	40.12	98.63	1255921	29.3	33.43	bed_cov<85%	—	—	—	—	—	—
MI-501	Detroit	2015	MI-501	Major Cities	2294	2163	94	61	35	104	57	5432	1257	1590	1961	5710	6919	1870	266	520	42	8971	4030	45	2647	2586	98	94.29	23.14	29.27	36.1	42.03	44.92	97.7	677124	84.33	102.18	—	—	—	—	—	—	—
MD-501	Baltimore City	2015	MD-501	Major Cities	2415	1692	70	109	59	206	111	1269	71	116	173	2791	3654	678	204	250	67	3082	1396	45	2248	2141	95	70.06	5.59	9.14	13.63	66.96	45.3	95.24	621849	44.88	58.76	bed_cov<85%	—	—	—	—	—	—
PA-600	Pittsburgh/Allegheny	2015	PA-600	Smaller Cities, Counties, and Regional CoCs	1327	1274	96	66	32	160	63	751	45	75	104	2977	3716	0	0	0	—	3753	1384	37	2258	1875	83	96.01	5.99	9.99	13.85	—	36.88	83.04	1230459	24.19	30.2	M7a_no_SO_exits	—	—	—	—	—	—
WI-501	Milwaukee	2015	WI-501	Major Cities	1519	1404	92	48	22	94	30	1572	253	359	483	4071	4359	1101	151	96	22	3600	1581	44	1375	1322	96	92.43	16.09	22.84	30.73	22.43	43.92	96.15	957735	42.51	45.51	—	—	—	—	—	—	—
IN-503	Indianapolis/Marion	2015	IN-503	Major Cities	1430	703	49	58	34	122	50	1078	88	137	229	2162	2594	132	14	21	27	2789	1373	49	816	767	94	49.16	8.16	12.71	21.24	26.52	49.23	94	939020	23.02	27.62	bed_cov<85%	—	—	—	—	—	—
TN-501	Memphis/Shelby	2015	TN-501	Major Cities	1570	1467	93	54	31	148	80	1075	43	91	151	1515	2058	255	41	136	69	1806	1201	67	794	753	95	93.44	4	8.47	14.05	69.41	66.5	94.84	938069	16.15	21.94	—	—	—	—	—	—	—
OH-500	Cincinnati/Hamilton	2015	OH-500	Smaller Cities, Counties, and Regional CoCs	809	809	100	43	27	82	36	3923	373	615	1000	3744	4273	719	181	172	49	5505	3153	57	2569	2493	97	100	9.51	15.68	25.49	49.1	57.28	97.04	807598	46.36	52.91	—	—	—	—	—	—	—
MO-501	St. Louis City	2015	MO-501	Smaller Cities, Counties, and Regional CoCs	1200	154	13	57	40	131	66	934	68	119	188	2186	2452	0	0	0	—	2989	882	30	1759	1651	94	12.83	7.28	12.74	20.13	—	29.51	93.86	315685	69.25	77.67	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
FL-510	Jacksonville/Duval/Clay	2015	FL-510	Major Cities	1495	564	38	117	57	188	89	346	16	27	36	1815	2510	30	9	14	77	1140	639	56	669	582	87	37.73	4.62	7.8	10.4	76.67	56.05	87	1116977	16.25	22.47	bed_cov<85%	—	—	—	—	—	—
NC-507	Raleigh/Wake	2015	NC-507	Major Cities	727	629	87	45	20	65	26	1114	91	151	230	2489	2876	24	6	10	67	3761	1106	29	912	880	96	86.52	8.17	13.55	20.65	66.67	29.41	96.49	1024198	24.3	28.08	—	—	—	—	—	—	—
MD-600	Prince George's	2015	MD-600	Smaller Cities, Counties, and Regional CoCs	444	327	74	88	71	194	104	523	12	23	50	755	782	17	1	15	94	895	453	51	507	485	96	73.65	2.29	4.4	9.56	94.12	50.61	95.66	909535	8.3	8.6	bed_cov<85%	—	—	—	—	—	—
MD-601	Montgomery County MD	2015	MD-601	Smaller Cities, Counties, and Regional CoCs	541	541	100	93	57	143	68	1058	53	91	146	1606	1649	261	82	45	49	2139	680	32	1886	1842	98	100	5.01	8.6	13.8	48.66	31.79	97.67	1040116	15.44	15.85	—	—	—	—	—	—	—
VA-601	Fairfax County	2015	VA-601	Smaller Cities, Counties, and Regional CoCs	730	672	92	71	50	125	58	1297	155	240	329	1878	2081	689	113	182	43	2745	1324	48	1040	985	95	92.05	11.95	18.5	25.37	42.82	48.23	94.71	1142234	16.44	18.22	—	—	—	—	—	—	—
LA-503	New Orleans/Jefferson Parish	2015	LA-503	Major Cities	1154	1060	92	45	14	60	19	1903	192	272	354	3606	4217	846	209	553	90	1613	1142	71	1992	1886	95	91.85	10.09	14.29	18.6	90.07	70.8	94.68	825892	43.66	51.06	—	—	—	—	—	—	—
NY-600	New York City	2016	NY-600	Major Cities	70299	66411	94	260	180	265	183	25879	4156	5665	7385	61762	62981	1935	560	402	50	75031	35578	47	11366	10989	97	94.47	16.06	21.89	28.54	49.72	47.42	96.68	8537673	72.34	73.77	—	—	—	—	—	—	—
CA-600	Los Angeles (excl. Long Beach/Pasadena/Glendale)	2016	CA-600	Major Cities	10982	6345	58	69	25	139	54	7698	513	860	1329	14189	22181	12253	419	416	7	21858	7530	34	14280	13727	96	57.78	6.66	11.17	17.26	6.81	34.45	96.13	9324897	15.22	23.79	bed_cov<85%	—	—	—	—	—	—
IL-510	Chicago	2016	IL-510	Major Cities	5232	4987	95	120	49	129	55	5446	574	864	1260	12976	14188	1661	503	312	49	15273	3869	25	6656	6446	97	95.32	10.54	15.86	23.14	49.07	25.33	96.84	2704965	47.97	52.45	—	—	—	—	—	—	—
WA-500	Seattle/King County	2016	WA-500	Major Cities	5869	4657	79	79	28	144	48	4281	223	327	516	9119	11393	1099	178	119	27	13534	4093	30	6502	6120	94	79.35	5.21	7.64	12.05	27.02	30.24	94.12	2149970	42.41	52.99	bed_cov<85%	—	—	—	—	—	—
CO-503	Metro Denver	2016	CO-503	Major Cities	4485	2827	63	54	9	145	38	2416	252	421	567	7698	8583	1383	29	107	10	8156	2078	25	3481	3064	88	63.03	10.43	17.43	23.47	9.83	25.48	88.02	3117539	24.69	27.53	bed_cov<85%	—	—	—	—	—	—
CA-601	San Diego	2016	CA-601	Major Cities	3891	3792	97	72	35	150	79	4573	674	956	1275	6050	8898	1040	314	51	35	10529	4571	43	3691	3409	92	97.46	14.74	20.91	27.88	35.1	43.41	92.36	3317749	18.24	26.82	—	—	—	—	—	—	—
CA-500	San Jose/Santa Clara	2016	CA-500	Major Cities	1811	1757	97	56	34	139	65	1472	155	224	299	2810	3572	27	1	9	37	3739	1627	44	1583	1530	97	97.02	10.53	15.22	20.31	37.04	43.51	96.65	1919402	14.64	18.61	—	—	—	—	—	—	—
CA-502	Oakland/Alameda	2016	CA-502	Major Cities	1551	1323	85	96	60	186	114	2412	204	287	433	1805	2688	1636	582	114	43	3038	1418	47	2494	2404	96	85.3	8.46	11.9	17.95	42.54	46.68	96.39	1647704	10.95	16.31	—	—	—	—	—	—	—
AZ-502	Phoenix/Maricopa	2016	AZ-502	Major Cities	3423	3123	91	57	34	101	50	5287	541	842	1258	9056	10099	6080	1144	373	25	12887	4154	32	5953	5635	95	91.24	10.23	15.93	23.79	24.95	32.23	94.66	4242997	21.34	23.8	—	—	—	—	—	—	—
CA-501	San Francisco	2016	CA-501	Major Cities	2517	1996	79	378	260	384	311	5070	181	529	1104	4270	4852	0	0	0	—	6514	391	6	7864	7591	97	79.3	3.57	10.43	21.78	—	6	96.53	870887	49.03	55.71	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
NV-500	Las Vegas/Clark	2016	NV-500	Major Cities	2325	2139	92	46	9	76	16	3291	339	539	739	6365	7464	237	13	40	22	9134	3362	37	1102	995	90	92	10.3	16.38	22.46	22.36	36.81	90.29	2155664	29.53	34.63	—	—	—	—	—	—	—
OR-501	Portland/Multnomah	2016	OR-501	Major Cities	1718	1501	87	47	17	88	30	1600	137	264	462	5859	8070	133	7	101	81	9186	3775	41	3982	3785	95	87.37	8.56	16.5	28.88	81.2	41.1	95.05	799766	73.26	100.9	—	—	—	—	—	—	—
CA-602	Orange County CA	2016	CA-602	Smaller Cities, Counties, and Regional CoCs	1611	1152	72	50	17	109	44	1885	113	181	251	3480	4534	3271	38	57	3	5224	2161	41	2672	2590	97	71.51	5.99	9.6	13.32	2.9	41.37	96.93	3172532	10.97	14.29	bed_cov<85%	—	—	—	—	—	—
CA-503	Sacramento	2016	CA-503	Major Cities	1345	1150	86	75	44	125	68	2336	225	323	476	2539	3941	1018	27	288	31	4285	2399	56	2563	2462	96	85.5	9.63	13.83	20.38	30.94	55.99	96.06	1514460	16.77	26.02	—	—	—	—	—	—	—
MA-500	Boston	2016	MA-500	Major Cities	6085	5353	88	190	83	201	96	1297	267	366	453	8608	9395	792	15	33	6	1513	861	57	5213	4969	95	87.97	20.59	28.22	34.93	6.06	56.91	95.32	672840	127.94	139.63	—	—	—	—	—	—	—
DC-500	District of Columbia	2016	DC-500	Major Cities	7949	7692	97	246	107	268	135	5273	352	597	799	9144	9353	592	281	311	100	6969	3852	55	3130	3056	98	96.77	6.68	11.32	15.15	100	55.27	97.64	681170	134.24	137.31	—	—	—	—	—	—	—
PA-500	Philadelphia	2016	PA-500	Major Cities	5451	4442	81	150	75	216	120	2089	112	165	238	5738	6215	280	1	4	2	6781	1563	23	3992	3874	97	81.49	5.36	7.9	11.39	1.79	23.05	97.04	1567872	36.6	39.64	bed_cov<85%	—	—	—	—	—	—
CA-511	Stockton/San Joaquin	2016	CA-511	Smaller Cities, Counties, and Regional CoCs	1436	1312	91	62	23	129	41	439	42	67	109	2500	2736	507	39	14	10	3794	1101	29	697	681	98	91.36	9.57	15.26	24.83	10.45	29.02	97.7	733709	34.07	37.29	—	—	—	—	—	—	—
HI-501	Honolulu	2016	HI-501	Smaller Cities, Counties, and Regional CoCs	3294	3294	100	135	82	250	173	2625	189	332	502	3087	3466	792	154	138	37	3654	2191	60	1167	1111	95	100	7.2	12.65	19.12	36.87	59.96	95.2	992605	31.1	34.92	—	—	—	—	—	—	—
CA-514	Fresno/Madera	2016	CA-514	Major Cities	485	251	52	49	15	100	38	880	40	62	85	725	1126	123	26	44	57	1144	775	68	701	635	91	51.75	4.55	7.05	9.66	56.91	67.74	90.58	1134612	6.39	9.92	bed_cov<85%	—	—	—	—	—	—
CA-609	San Bernardino	2016	CA-609	Smaller Cities, Counties, and Regional CoCs	607	607	100	33	9	69	16	965	64	103	143	2585	5552	2290	641	309	41	5523	2693	49	1457	1414	97	100	6.63	10.67	14.82	41.48	48.76	97.05	2140096	12.08	25.94	—	—	—	—	—	—	—
CA-608	Riverside	2016	CA-608	Smaller Cities, Counties, and Regional CoCs	903	863	96	53	21	72	32	1716	116	181	361	3242	3935	2212	104	590	31	4288	1698	40	1200	1154	96	95.57	6.76	10.55	21.04	31.37	39.6	96.17	2387741	13.58	16.48	—	—	—	—	—	—	—
NY-603	Nassau/Suffolk	2016	NY-603	Smaller Cities, Counties, and Regional CoCs	3848	2392	62	155	86	163	91	1712	105	160	259	3585	4066	160	0	17	11	5711	2363	41	2069	1894	92	62.16	6.13	9.35	15.13	10.63	41.38	91.54	2854083	12.56	14.25	bed_cov<85%	—	—	—	—	—	—
MN-500	Minneapolis/Hennepin	2016	MN-500	Major Cities	2748	2620	95	43	18	58	20	3333	221	458	708	7932	8880	530	91	141	44	9459	2036	22	5080	4711	93	95.34	6.63	13.74	21.24	43.77	21.52	92.74	1232483	64.36	72.05	—	—	—	—	—	—	—
FL-600	Miami-Dade	2016	FL-600	Major Cities	3018	2791	92	108	71	137	86	3898	541	752	992	5010	6213	4826	4106	414	94	6671	4186	63	4070	3942	97	92.48	13.88	19.29	25.45	93.66	62.75	96.86	2712945	18.47	22.9	—	—	—	—	—	—	—
TX-600	Dallas/Collin	2016	TX-600	Major Cities	3094	934	30	119	72	175	97	1431	64	103	157	3384	4486	175	74	44	67	3069	1254	41	2739	2642	96	30.19	4.47	7.2	10.97	67.43	40.86	96.46	3514569	9.63	12.76	bed_cov<85%	—	—	—	—	—	—
TX-500	San Antonio/Bexar	2016	TX-500	Major Cities	2066	2026	98	110	41	157	67	2969	184	394	659	3445	4896	984	470	69	55	4583	1927	42	2071	1973	95	98.06	6.2	13.27	22.2	54.78	42.05	95.27	1928680	17.86	25.39	—	—	—	—	—	—	—
CA-606	Long Beach	2016	CA-606	Major Cities	533	371	70	59	50	127	90	806	27	45	75	813	1283	0	0	0	—	1098	607	55	1465	1334	91	69.61	3.35	5.58	9.31	—	55.28	91.06	470140	17.29	27.29	bed_cov<85%;M7a_no_SO_exits	—	—	—	—	—	—
TX-700	Houston/Harris/Fort Bend/Montgomery	2016	TX-700	Major Cities	2906	2884	99	43	14	87	26	3149	353	587	955	9499	11049	3534	65	513	16	12316	3597	29	2737	2511	92	99.24	11.21	18.64	30.33	16.36	29.21	91.74	5887368	16.13	18.77	—	—	—	—	—	—	—
TX-503	Austin/Travis	2016	TX-503	Major Cities	1001	969	97	74	40	96	49	1658	116	169	248	3051	3494	74	5	4	12	4541	1226	27	1499	1412	94	96.8	7	10.19	14.96	12.16	27	94.2	1199323	25.44	29.13	—	—	—	—	—	—	—
GA-500	Atlanta	2016	GA-500	Major Cities	3348	2215	66	53	29	117	53	4260	358	562	833	6613	8058	1099	145	311	41	8586	3238	38	2175	1967	90	66.16	8.4	13.19	19.55	41.49	37.71	90.44	472506	139.96	170.54	bed_cov<85%	—	—	—	—	—	—
CA-505	Contra Costa	2016	CA-505	Smaller Cities, Counties, and Regional CoCs	541	491	91	112	78	154	103	859	74	113	139	1001	1837	602	264	2	44	2092	1215	58	949	910	96	90.76	8.61	13.15	16.18	44.19	58.08	95.89	1135127	8.82	16.18	—	—	—	—	—	—	—
FL-507	Orlando/Orange/Osceola/Seminole	2016	FL-507	Smaller Cities, Counties, and Regional CoCs	1904	1711	90	61	29	106	52	2279	229	352	481	4175	5181	1256	117	199	25	4817	2397	50	557	522	94	89.86	10.05	15.45	21.11	25.16	49.76	93.72	2105861	19.83	24.6	—	—	—	—	—	—	—

45 field definitions

Field	Type	Meaning	Units	Value type
coc_code	string	HUD CoC code	—	observed
short_name	string	Short display name	—	derived
fy	integer	Federal fiscal year of the report	—	observed
spm_code_used	string	CoC code as it appears in HUD's sheet (MO-604M before FY2023)	—	observed
category	string	HUD CoC category in the SPM file	—	observed
hic_nondv_beds_es_th	integer	Non-DV ES+TH beds in the HIC	beds	observed
hmis_nondv_beds_es_th	integer	Non-DV ES+TH beds participating in HMIS	beds	observed
bed_coverage_pct_reported	number	HMIS bed coverage as HUD reports it	percent	observed
m1_es_sh_avg	number	M1: average days homeless, ES+SH	days	observed
m1_es_sh_median	number	M1: median days homeless, ES+SH	days	observed
m1_es_sh_th_avg	number	M1: average days homeless, ES+SH+TH	days	observed
m1_es_sh_th_median	number	M1: median days homeless, ES+SH+TH	days	observed
m2_exits_to_ph	integer	M2 (All): people who exited to permanent housing in the cohort period	people	observed
m2_ret6	integer	M2: of those, returned within 6 months	people	observed
m2_ret12	integer	M2: returned within 12 months (cumulative)	people	observed
m2_ret24	integer	M2: returned within 24 months (cumulative)	people	observed
m5_first_time_es_sh_th	integer	M5.1: people entering ES/SH/TH with no HMIS record in the prior 24 months	people	observed
m5_first_time_es_sh_th_ph	integer	M5.2: same, including PH entries	people	observed
m7a_so_exits	integer	M7a: street outreach exits	people	observed
m7a_so_temp	integer	M7a: outreach exits to temporary destinations	people	observed
m7a_so_perm	integer	M7a: outreach exits to permanent destinations	people	observed
m7a_pct_reported	number	M7a % as HUD reports it	percent	observed
m7b1_exits	integer	M7b.1: exits from ES/SH/TH/RRH	people	observed
m7b1_to_ph	integer	M7b.1: of those, exits to permanent housing	people	observed
m7b1_pct_reported	number	M7b.1 % as reported	percent	observed
m7b2_universe	integer	M7b.2: people in PSH/OPH	people	observed
m7b2_success	integer	M7b.2: stayed or exited to permanent housing	people	observed
m7b2_pct_reported	number	M7b.2 % as reported	percent	observed
bed_coverage_pct	number	Recomputed HMIS bed coverage = hmis / hic	percent	derived
m2_pct6	number	Returns within 6 months, %	percent	derived
m2_pct12	number	Returns within 12 months, %	percent	derived
m2_pct24	number	Returns within 24 months, %	percent	derived
m7a_pct	number	Recomputed M7a %	percent	derived
m7b1_pct	number	Recomputed M7b.1 %	percent	derived
m7b2_pct	number	Recomputed M7b.2 %	percent	derived
population	integer	ACS population (from dataset homelessness-rate-vs-rent); FY2020 is the mean of 2019 and 2021	people	derived
m5_per10k_es_sh_th	number	First-time homeless (M5.1) per 10,000 residents	per 10,000 residents	derived
m5_per10k_es_sh_th_ph	number	First-time homeless (M5.2) per 10,000 residents	per 10,000 residents	derived
dq_flags	string	Data-quality flags (e.g. bed_cov<85%, MO-604 split, non-cumulative TH returns)	—	derived
dq_unknown_dest_pct_SO	number	Unknown or missing exit destinations, street outreach (FY2019+)	percent	observed
dq_unknown_dest_pct_ES	number	Unknown destinations, emergency shelter	percent	observed
dq_unknown_dest_pct_TH	number	Unknown destinations, transitional housing	percent	observed
dq_unknown_dest_pct_RRH	number	Unknown destinations, rapid rehousing	percent	observed
dq_unknown_dest_pct_PSH	number	Unknown destinations, PSH	percent	observed
pop_note	string	Notes on the population value	—	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.