HRR Scorecard: 20% / 40% / 60%

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y	Z	AA	AB	AC	AD	AE	AF	AG	AH	AI	AJ
1	HRR	Total Hospital Beds	Total ICU Beds	Available Hospital Beds	Potentially Available Hospital Beds*	Available ICU Beds	Potentially Available ICU Beds*	Adult Population	Population 65+	Projected Infected Individuals	Projected Hospitalized Individuals	Projected Individuals Needing ICU Care	Hospital Beds Needed, Six Months	Percentage of Available Beds Needed, Six Months	Percentage of Potentially Available Beds Needed, Six Months	Percentage of Total Beds Needed, Six Months	Hospital Beds Needed, Twelve Months	Percentage of Available Beds Needed, Twelve Months	Percentage of Potentially Available Beds Needed, Twelve Months	Percentage of Total Beds Needed, Twelve Months	Hospital Beds Needed, Eighteen Months	Percentage of Available Beds Needed, Eighteen Months	Percentage of Potentially Available Beds Needed, Eighteen Months	Percentage of Total Beds Needed, Eighteen Months	ICU Beds Needed, Six Months	Percentage of Available ICU Beds Needed, Six Months	Percentage of Potentially Available ICU Beds Needed, Six Months	Percentage of Total ICU Beds Needed, Six Months	ICU Beds Needed, Twelve Months	Percentage of Available ICU Beds Needed, Twelve Months	Percentage of Potentially Available ICU Beds Needed, Twelve Months	Percentage of Total ICU Beds Needed, Twelve Months	ICU Beds Needed, Eighteen Months	Percentage of Available ICU Beds Needed, Eighteen Months	Percentage of Potentially Available ICU Beds Needed, Eighteen Months	Percentage of Total ICU Beds Needed, Eighteen Months

2	*Based on a 50% reduction in occupancy
3	Abilene, TX	980	127	565	772	68	98	226,444	50,412	45,289	9,563	2,090	638	113%	83%	65%	319	56%	41%	33%	208	37%	27%	21%	139	204%	142%	109%	70	103%	71%	55%	45	66%	46%	35%
4	Akron, OH	1,358	186	518	938	94	140	547,990	111,042	109,598	22,933	4,959	1,529	295%	163%	113%	764	147%	81%	56%	499	96%	53%	37%	331	352%	236%	178%	165	176%	118%	89%	108	115%	77%	58%
5	Alameda County, CA	2,695	293	665	1,680	139	216	1,310,189	214,991	262,038	53,872	11,400	3,591	540%	214%	133%	1,796	270%	107%	67%	1,171	176%	70%	43%	760	547%	352%	259%	380	273%	176%	130%	248	178%	115%	85%
6	Albany, GA	704	60	221	462	27	43	157,143	30,466	31,429	6,550	1,410	437	198%	95%	62%	218	99%	47%	31%	142	64%	31%	20%	94	348%	219%	157%	47	174%	109%	78%	31	115%	72%	52%
7	Albany, NY	4,804	425	1,579	3,191	193	309	1,477,723	318,695	295,545	62,209	13,545	4,147	263%	130%	86%	2,074	131%	65%	43%	1,352	86%	42%	28%	903	468%	292%	212%	452	234%	146%	106%	294	152%	95%	69%
8	Albuquerque, NM	2,908	380	1,102	2,005	161	270	1,336,795	279,457	267,359	56,108	12,174	3,741	339%	187%	129%	1,870	170%	93%	64%	1,220	111%	61%	42%	812	504%	301%	214%	406	252%	150%	107%	265	165%	98%	70%
9	Alexandria, LA	917	43	402	660	20	31	221,597	44,519	44,319	9,266	2,002	618	154%	94%	67%	309	77%	47%	34%	201	50%	30%	22%	133	665%	429%	309%	67	335%	216%	156%	44	220%	142%	102%
10	Allentown, PA	3,267	334	1,267	2,267	143	238	960,572	207,376	192,114	40,442	8,807	2,696	213%	119%	83%	1,348	106%	59%	41%	879	69%	39%	27%	587	410%	247%	176%	294	206%	124%	88%	191	134%	80%	57%
11	Altoona, PA	555	61	234	394	27	44	234,560	56,483	46,912	9,986	2,203	666	285%	169%	120%	333	142%	85%	60%	217	93%	55%	39%	147	544%	334%	241%	73	270%	166%	120%	48	178%	109%	79%
12	Amarillo, TX	1,236	194	678	957	79	137	332,671	61,267	66,534	13,806	2,955	920	136%	96%	74%	460	68%	48%	37%	300	44%	31%	24%	197	249%	144%	102%	98	124%	72%	51%	64	81%	47%	33%
13	Anchorage, AK	1,583	130	533	1,058	55	93	551,912	74,327	110,382	22,385	4,656	1,492	280%	141%	94%	746	140%	71%	47%	487	91%	46%	31%	310	564%	333%	238%	155	282%	167%	119%	101	184%	109%	78%
14	Ann Arbor, MI	3,014	406	876	1,945	122	264	1,115,589	209,105	223,118	46,365	9,942	3,091	353%	159%	103%	1,546	176%	79%	51%	1,008	115%	52%	33%	663	543%	251%	163%	331	271%	125%	82%	216	177%	82%	53%
15	Appleton, WI	448	72	222	335	37	54	254,546	52,373	50,909	10,668	2,310	711	320%	212%	159%	356	160%	106%	79%	232	105%	69%	52%	154	416%	285%	214%	77	208%	143%	107%	50	135%	93%	69%
16	Arlington, VA	3,116	450	995	2,055	173	312	1,909,537	270,129	381,907	77,695	16,225	5,180	521%	252%	166%	2,590	260%	126%	83%	1,689	170%	82%	54%	1,082	625%	347%	240%	541	313%	173%	120%	353	204%	113%	78%
17	Asheville, NC	1,541	232	556	1,048	76	154	553,131	146,572	110,626	23,804	5,316	1,587	285%	151%	103%	793	143%	76%	51%	517	93%	49%	34%	354	466%	230%	153%	177	233%	115%	76%	116	153%	75%	50%
18	Atlanta, GA	12,780	1,621	3,338	8,059	436	1,029	5,027,281	799,338	1,005,456	206,224	43,511	13,748	412%	171%	108%	6,874	206%	85%	54%	4,483	134%	56%	35%	2,901	665%	282%	179%	1,450	333%	141%	89%	946	217%	92%	58%
19	Augusta, GA	2,194	349	831	1,512	106	227	540,242	105,665	108,048	22,537	4,854	1,502	181%	99%	68%	751	90%	50%	34%	490	59%	32%	22%	324	306%	143%	93%	162	153%	71%	46%	106	100%	47%	30%
20	Aurora, IL	527	55	286	406	25	40	245,644	34,035	49,129	9,981	2,081	665	233%	164%	126%	333	116%	82%	63%	217	76%	53%	41%	139	556%	348%	253%	69	276%	173%	125%	45	180%	113%	82%
21	Austin, TX	2,775	393	1,003	1,889	161	277	1,523,446	208,426	304,689	61,851	12,880	4,123	411%	218%	149%	2,062	206%	109%	74%	1,345	134%	71%	48%	859	534%	310%	219%	429	266%	155%	109%	280	174%	101%	71%
22	Bakersfield, CA	2,429	191	692	1,561	88	140	847,115	123,309	169,423	34,533	7,229	2,302	333%	147%	95%	1,151	166%	74%	47%	751	109%	48%	31%	482	548%	344%	252%	241	274%	172%	126%	157	178%	112%	82%
23	Baltimore, MD	6,931	844	1,887	4,409	303	574	2,015,003	379,769	403,001	83,786	17,976	5,586	296%	127%	81%	2,793	148%	63%	40%	1,821	97%	41%	26%	1,198	395%	209%	142%	599	198%	104%	71%	391	129%	68%	46%
24	Bangor, ME	1,094	100	400	747	28	64	318,554	77,904	63,711	13,585	3,003	906	227%	121%	83%	453	113%	61%	41%	295	74%	39%	27%	200	714%	313%	200%	100	357%	156%	100%	65	232%	102%	65%
25	Baton Rouge, LA	2,898	249	1,159	2,028	119	184	746,856	127,072	149,371	30,795	6,539	2,053	177%	101%	71%	1,026	89%	51%	35%	669	58%	33%	23%	436	366%	237%	175%	218	183%	118%	88%	142	119%	77%	57%
26	Beaumont, TX	908	114	421	665	43	79	356,372	70,621	71,274	14,884	3,210	992	236%	149%	109%	496	118%	75%	55%	324	77%	49%	36%	214	498%	271%	188%	107	249%	135%	94%	70	163%	89%	61%
27	Bend, OR	415	38	182	298	17	27	189,876	47,299	37,975	8,114	1,798	541	297%	182%	130%	270	148%	91%	65%	176	97%	59%	42%	120	706%	444%	316%	60	353%	222%	158%	39	229%	144%	103%
28	Billings, MT	2,432	148	931	1,681	65	106	476,520	97,688	95,304	19,964	4,322	1,331	143%	79%	55%	665	71%	40%	27%	434	47%	26%	18%	288	443%	272%	195%	144	222%	136%	97%	94	145%	89%	64%
29	Binghamton, NY	1,005	54	365	685	17	35	286,154	67,043	57,231	12,148	2,671	810	222%	118%	81%	405	111%	59%	40%	264	72%	39%	26%	178	1047%	509%	330%	89	524%	254%	165%	58	341%	166%	107%
30	Birmingham, AL	7,297	991	2,756	5,027	342	666	1,774,690	364,610	354,938	74,366	16,104	4,958	180%	99%	68%	2,479	90%	49%	34%	1,617	59%	32%	22%	1,074	314%	161%	108%	537	157%	81%	54%	350	102%	53%	35%
31	Bismarck, ND	970	80	422	696	43	62	182,581	38,811	36,516	7,675	1,668	512	121%	74%	53%	256	61%	37%	26%	167	40%	24%	17%	111	258%	179%	139%	56	130%	90%	70%	36	84%	58%	45%
32	Bloomington, IL	394	35	201	298	10	23	160,796	25,937	32,159	6,603	1,395	440	219%	148%	112%	220	109%	74%	56%	144	72%	48%	37%	93	930%	404%	266%	46	460%	200%	131%	30	300%	130%	86%
33	Blue Island, IL	2,053	308	583	1,318	118	213	670,968	134,483	134,194	28,052	6,058	1,870	321%	142%	91%	935	160%	71%	46%	610	105%	46%	30%	404	342%	190%	131%	202	171%	95%	66%	132	112%	62%	43%
34	Boise, ID	1,773	186	848	1,310	95	141	701,166	134,953	140,233	29,208	6,280	1,947	230%	149%	110%	974	115%	74%	55%	635	75%	48%	36%	419	441%	297%	225%	209	220%	148%	112%	137	144%	97%	74%
35	Boston, MA	10,239	1,157	2,548	6,393	438	798	4,022,208	782,014	804,442	167,702	36,098	11,180	439%	175%	109%	5,590	219%	87%	55%	3,646	143%	57%	36%	2,407	550%	302%	208%	1,203	275%	151%	104%	785	179%	98%	68%
36	Boulder, CO	640	90	297	468	43	67	267,487	42,093	53,497	10,964	2,311	731	246%	156%	114%	365	123%	78%	57%	238	80%	51%	37%	154	358%	230%	171%	77	179%	115%	86%	50	116%	75%	56%
37	Bradenton, FL	822	104	342	582	49	76	266,378	82,842	53,276	11,696	2,671	780	228%	134%	95%	390	114%	67%	47%	254	74%	44%	31%	178	363%	234%	171%	89	182%	117%	86%	58	118%	76%	56%
38	Bridgeport, CT	1,354	132	370	862	65	99	539,133	102,171	107,827	22,428	4,815	1,495	404%	173%	110%	748	202%	87%	55%	488	132%	57%	36%	321	494%	324%	243%	160	246%	162%	121%	105	162%	106%	80%
39	Bronx, NY	4,012	282	807	2,410	115	199	1,094,741	170,439	218,948	44,838	9,442	2,989	370%	124%	75%	1,495	185%	62%	37%	975	121%	40%	24%	629	547%	316%	223%	315	274%	158%	112%	205	178%	103%	73%
40	Bryan, TX	579	64	317	448	34	49	230,741	32,271	46,148	9,381	1,957	625	197%	140%	108%	313	99%	70%	54%	204	64%	46%	35%	130	382%	265%	203%	65	191%	133%	102%	43	126%	88%	67%
41	Buffalo, NY	4,713	323	1,228	2,971	95	209	1,090,373	234,541	218,075	45,891	9,989	3,059	249%	103%	65%	1,530	125%	51%	32%	998	81%	34%	21%	666	701%	319%	206%	333	351%	159%	103%	217	228%	104%	67%
42	Burlington, VT	1,743	117	587	1,165	65	91	522,720	104,104	104,544	21,841	4,714	1,456	248%	125%	84%	728	124%	62%	42%	475	81%	41%	27%	314	483%	345%	268%	157	242%	173%	134%	102	157%	112%	87%
43	Camden, NJ	6,527	701	2,294	4,410	293	497	2,208,721	489,214	441,744	93,226	20,362	6,215	271%	141%	95%	3,108	135%	70%	48%	2,027	88%	46%	31%	1,357	463%	273%	194%	679	232%	137%	97%	443	151%	89%	63%
44	Canton, OH	1,441	209	706	1,073	97	153	495,349	113,936	99,070	20,988	4,605	1,399	198%	130%	97%	700	99%	65%	49%	456	65%	42%	32%	307	316%	201%	147%	154	159%	101%	74%	100	103%	65%	48%
45	Cape Girardeau, MO	859	80	398	629	43	62	202,898	45,230	40,580	8,570	1,873	571	143%	91%	66%	286	72%	45%	33%	186	47%	30%	22%	125	291%	202%	156%	62	144%	100%	78%	41	95%	66%	51%
46	Casper, WY	633	32	378	505	20	26	152,884	31,930	30,577	6,416	1,392	428	113%	85%	68%	214	57%	42%	34%	139	37%	28%	22%	93	465%	358%	291%	46	230%	177%	144%	30	150%	115%	94%
47	Cedar Rapids, IA	799	44	364	581	22	33	234,872	48,228	46,974	9,841	2,131	656	180%	113%	82%	328	90%	56%	41%	214	59%	37%	27%	142	645%	430%	323%	71	323%	215%	161%	46	209%	139%	105%
48	Charleston, SC	3,013	329	975	1,994	101	215	914,407	196,315	182,881	38,477	8,374	2,565	263%	129%	85%	1,283	132%	64%	43%	836	86%	42%	28%	558	552%	260%	170%	279	276%	130%	85%	182	180%	85%	55%
49	Charleston, WV	2,620	284	1,167	1,894	97	190	650,209	155,752	130,042	27,667	6,100	1,844	158%	97%	70%	922	79%	49%	35%	601	51%	32%	23%	407	420%	214%	143%	203	209%	107%	71%	133	137%	70%	47%
50	Charlotte, NC	4,873	770	1,465	3,169	249	510	2,024,238	353,589	404,848	83,639	17,806	5,576	381%	176%	114%	2,788	190%	88%	57%	1,818	124%	57%	37%	1,187	477%	233%	154%	594	239%	116%	77%	387	155%	76%	50%
51	Charlottesville, VA	1,326	155	433	879	35	95	477,802	100,652	95,560	20,069	4,358	1,338	309%	152%	101%	669	155%	76%	50%	436	101%	50%	33%	291	831%	306%	188%	145	414%	153%	94%	95	271%	100%	61%
52	Chattanooga, TN	1,928	247	651	1,290	59	153	567,490	121,347	113,498	23,870	5,192	1,591	244%	123%	83%	796	122%	62%	41%	519	80%	40%	27%	346	586%	226%	140%	173	293%	113%	70%	113	192%	74%	46%
53	Chicago, IL	7,764	912	3,161	5,462	312	612	2,045,072	306,266	409,014	83,532	17,529	5,569	176%	102%	72%	2,784	88%	51%	36%	1,816	57%	33%	23%	1,169	375%	191%	128%	584	187%	95%	64%	381	122%	62%	42%
54	Chico, CA	537	51	153	345	23	37	239,882	53,947	47,976	10,140	2,219	676	442%	196%	126%	338	221%	98%	63%	220	144%	64%	41%	148	643%	400%	290%	74	322%	200%	145%	48	209%	130%	94%
55	Cincinnati, OH	3,808	567	1,537	2,673	185	376	1,293,436	245,509	258,687	53,815	11,554	3,588	233%	134%	94%	1,794	117%	67%	47%	1,170	76%	44%	31%	770	416%	205%	136%	385	208%	102%	68%	251	136%	67%	44%
56	Clearwater, FL	1,571	160	719	1,145	44	102	434,821	131,578	86,964	19,023	4,327	1,268	176%	111%	81%	634	88%	55%	40%	414	58%	36%	26%	288	655%	282%	180%	144	327%	141%	90%	94	214%	92%	59%
57	Cleveland, OH	7,233	885	2,631	4,932	306	595	1,602,896	353,619	320,579	67,629	14,764	4,509	171%	91%	62%	2,254	86%	46%	31%	1,470	56%	30%	20%	984	322%	165%	111%	492	161%	83%	56%	321	105%	54%	36%
58	Colorado Springs, CO	1,295	149	555	925	62	106	673,350	119,939	134,670	27,866	5,944	1,858	335%	201%	143%	929	167%	100%	72%	606	109%	66%	47%	396	639%	374%	266%	198	319%	187%	133%	129	208%	122%	87%
59	Columbia, MO	1,883	199	901	1,392	77	138	557,924	115,795	111,585	23,401	5,073	1,560	173%	112%	83%	780	87%	56%	41%	509	56%	37%	27%	338	439%	245%	170%	169	219%	122%	85%	110	143%	80%	55%
60	Columbia, SC	3,026	398	1,053	2,040	151	275	975,665	189,632	195,133	40,678	8,756	2,712	258%	133%	90%	1,356	129%	66%	45%	884	84%	43%	29%	584	387%	212%	147%	292	193%	106%	73%	190	126%	69%	48%
61	Columbus, GA	1,105	75	547	826	33	54	280,815	48,222	56,163	11,587	2,463	772	141%	93%	70%	386	71%	47%	35%	252	46%	31%	23%	164	497%	304%	219%	82	248%	152%	109%	54	164%	100%	72%
62	Columbus, OH	6,449	679	2,792	4,620	235	457	2,405,737	441,233	481,147	99,801	21,352	6,653	238%	144%	103%	3,327	119%	72%	52%	2,170	78%	47%	34%	1,423	606%	311%	210%	712	303%	156%	105%	464	197%	102%	68%
63	Contra Costa County, CA	1,727	203	675	1,201	81	142	844,608	159,096	168,922	35,118	7,534	2,341	347%	195%	136%	1,171	173%	98%	68%	763	113%	64%	44%	502	620%	354%	247%	251	310%	177%	124%	164	202%	115%	81%
64	Corpus Christi, TX	1,135	167	357	746	38	102	439,951	83,055	87,990	18,296	3,926	1,220	342%	164%	107%	610	171%	82%	54%	398	111%	53%	35%	262	689%	257%	157%	131	345%	128%	78%	85	224%	83%	51%
65	Covington, KY	828	93	280	554	39	66	327,040	57,022	65,408	13,511	2,876	901	322%	163%	109%	450	161%	81%	54%	294	105%	53%	36%	192	492%	291%	206%	96	246%	145%	103%	63	162%	95%	68%
66	Dallas, TX	10,585	1,292	3,679	7,132	450	871	3,918,830	583,050	783,766	159,993	33,556	10,666	290%	150%	101%	5,333	145%	75%	50%	3,478	95%	49%	33%	2,237	497%	257%	173%	1,119	249%	128%	87%	729	162%	84%	56%
67	Danville, PA	1,664	171	510	1,087	33	102	481,423	99,782	96,285	20,190	4,376	1,346	264%	124%	81%	673	132%	62%	40%	439	86%	40%	26%	292	885%	286%	171%	146	442%	143%	85%	95	288%	93%	56%
68	Davenport, IA	1,614	139	699	1,157	66	102	379,562	86,153	75,912	16,060	3,518	1,071	153%	93%	66%	535	77%	46%	33%	349	50%	30%	22%	235	356%	230%	169%	117	177%	115%	84%	76	115%	75%	55%
69	Dayton, OH	2,070	294	749	1,410	89	192	825,712	177,147	165,142	34,743	7,560	2,316	309%	164%	112%	1,158	155%	82%	56%	755	101%	54%	36%	504	566%	263%	171%	252	283%	131%	86%	164	184%	85%	56%
70	Dearborn, MI	1,439	188	462	951	95	142	382,586	75,636	76,517	15,975	3,445	1,065	231%	112%	74%	532	115%	56%	37%	347	75%	36%	24%	230	242%	162%	122%	115	121%	81%	61%	75	79%	53%	40%
71	Denver, CO	5,593	843	2,269	3,931	325	584	2,380,353	379,848	476,071	97,671	20,614	6,511	287%	166%	116%	3,256	143%	83%	58%	2,123	94%	54%	38%	1,374	423%	235%	163%	687	211%	118%	81%	448	138%	77%	53%
72	Des Moines, IA	2,760	173	1,193	1,977	76	125	869,785	168,710	173,957	36,257	7,802	2,417	203%	122%	88%	1,209	101%	61%	44%	788	66%	40%	29%	520	684%	416%	301%	260	342%	208%	150%	170	224%	136%	98%
73	Detroit, MI	4,123	509	1,333	2,728	163	336	1,315,527	254,755	263,105	54,830	11,797	3,655	274%	134%	89%	1,828	137%	67%	44%	1,192	89%	44%	29%	786	482%	234%	154%	393	241%	117%	77%	256	157%	76%	50%
74	Dothan, AL	1,335	108	504	919	33	71	290,096	65,608	58,019	12,270	2,687	818	162%	89%	61%	409	81%	45%	31%	267	53%	29%	20%	179	542%	252%	166%	90	273%	127%	83%	58	176%	82%	54%
75	Dubuque, IA	518	18	228	373	8	13	125,779	28,314	25,156	5,318	1,164	355	156%	95%	69%	177	78%	47%	34%	116	51%	31%	22%	78	975%	600%	433%	39	488%	300%	217%	25	313%	192%	139%
76	Duluth, MN	1,319	217	508	914	73	145	274,471	63,578	54,894	11,638	2,555	776	153%	85%	59%	388	76%	42%	29%	253	50%	28%	19%	170	233%	117%	78%	85	116%	59%	39%	56	77%	39%	26%
77	Durham, NC	4,505	790	1,125	2,815	241	516	1,097,252	224,839	219,450	45,967	9,951	3,064	272%	109%	68%	1,532	136%	54%	34%	999	89%	35%	22%	663	275%	128%	84%	332	138%	64%	42%	216	90%	42%	27%
78	East Long Island, NY	9,897	928	1,230	5,564	235	582	3,811,249	751,403	762,250	159,104	34,299	10,607	862%	191%	107%	5,303	431%	95%	54%	3,459	281%	62%	35%	2,287	973%	393%	246%	1,143	486%	196%	123%	746	317%	128%	80%
79	El Paso, TX	2,086	274	753	1,420	51	162	839,182	146,112	167,836	34,665	7,378	2,311	307%	163%	111%	1,156	154%	81%	55%	754	100%	53%	36%	492	965%	304%	180%	246	482%	152%	90%	160	314%	99%	58%
80	Elgin, IL	1,239	142	475	857	67	104	610,597	100,811	122,119	25,118	5,318	1,675	353%	195%	135%	837	176%	98%	68%	546	115%	64%	44%	355	530%	341%	250%	177	264%	170%	125%	116	173%	112%	82%
81	Elmira, NY	1,036	94	361	699	14	54	255,069	58,415	51,014	10,803	2,369	720	199%	103%	69%	360	100%	52%	35%	235	65%	34%	23%	158	1129%	293%	168%	79	564%	146%	84%	52	371%	96%	55%
82	Elyria, OH	453	63	214	333	21	42	200,261	44,042	40,052	8,447	1,843	563	263%	169%	124%	282	132%	85%	62%	184	86%	55%	41%	123	586%	293%	195%	61	290%	145%	97%	40	190%	95%	63%
83	Erie, PA	1,904	184	706	1,305	88	136	561,138	130,069	112,228	23,795	5,225	1,586	225%	122%	83%	793	112%	61%	42%	517	73%	40%	27%	348	395%	256%	189%	174	198%	128%	95%	114	130%	84%	62%
84	Eugene, OR	1,208	138	416	812	64	101	603,572	141,016	120,714	25,615	5,630	1,708	411%	210%	141%	854	205%	105%	71%	557	134%	69%	46%	375	586%	371%	272%	188	294%	186%	136%	122	191%	121%	88%
85	Evanston, IL	2,032	332	666	1,349	137	234	711,961	162,705	142,392	30,146	6,609	2,010	302%	149%	99%	1,005	151%	74%	49%	655	98%	49%	32%	441	322%	188%	133%	220	161%	94%	66%	144	105%	62%	43%
86	Evansville, IN	2,154	328	1,050	1,602	157	243	528,945	115,347	105,789	22,292	4,860	1,486	142%	93%	69%	743	71%	46%	34%	485	46%	30%	23%	324	206%	133%	99%	162	103%	67%	49%	106	68%	44%	32%
87	Everett, WA	951	83	319	635	26	55	542,404	104,811	108,481	22,603	4,862	1,507	472%	237%	158%	753	236%	119%	79%	491	154%	77%	52%	324	1246%	589%	390%	162	623%	295%	195%	106	408%	193%	128%
88	Fargo/Moorhead MN, ND	1,872	180	734	1,303	48	114	432,080	90,275	86,416	18,134	3,934	1,209	165%	93%	65%	604	82%	46%	32%	394	54%	30%	21%	262	546%	230%	146%	131	273%	115%	73%	86	179%	75%	48%
89	Flint, MI	1,375	161	458	916	58	109	426,480	89,340	85,296	17,904	3,885	1,194	261%	130%	87%	597	130%	65%	43%	389	85%	42%	28%	259	447%	238%	161%	130	224%	119%	81%	84	145%	77%	52%
90	Florence, SC	1,248	224	481	865	79	151	287,862	62,812	57,572	12,132	2,645	809	168%	94%	65%	404	84%	47%	32%	264	55%	31%	21%	176	223%	117%	79%	88	111%	58%	39%	58	73%	38%	26%
91	Fort Collins, CO	704	31	341	523	14	22	287,995	47,223	57,599	11,841	2,506	789	231%	151%	112%	395	116%	76%	56%	257	75%	49%	37%	167	1193%	759%	539%	84	600%	382%	271%	54	386%	245%	174%
92	Fort Lauderdale, FL	7,323	908	2,753	5,038	292	600	2,396,614	619,365	479,323	102,839	22,893	6,856	249%	136%	94%	3,428	125%	68%	47%	2,236	81%	44%	31%	1,526	523%	254%	168%	763	261%	127%	84%	498	171%	83%	55%
93	Fort Myers, FL	3,115	268	1,089	2,102	97	182	1,079,022	373,713	215,804	48,103	11,163	3,207	294%	153%	103%	1,603	147%	76%	51%	1,046	96%	50%	34%	744	767%	409%	278%	372	384%	204%	139%	243	251%	134%	91%
94	Fort Smith, AR	931	87	487	709	55	71	281,971	62,427	56,394	11,901	2,599	793	163%	112%	85%	397	82%	56%	43%	259	53%	37%	28%	173	315%	244%	199%	87	158%	123%	100%	56	102%	79%	64%
95	Fort Wayne, IN	2,442	376	1,038	1,740	143	259	651,379	132,442	130,276	27,269	5,898	1,818	175%	104%	74%	909	88%	52%	37%	593	57%	34%	24%	393	275%	152%	105%	197	138%	76%	52%	128	90%	49%	34%
96	Fort Worth, TX	4,200	501	1,400	2,800	187	344	1,764,292	277,941	352,858	72,324	15,247	4,822	344%	172%	115%	2,411	172%	86%	57%	1,572	112%	56%	37%	1,016	543%	295%	203%	508	272%	148%	101%	331	177%	96%	66%
97	Fresno, CA	1,935	205	547	1,241	77	141	918,145	146,620	183,629	37,675	7,952	2,512	459%	202%	130%	1,256	230%	101%	65%	819	150%	66%	42%	530	688%	376%	259%	265	344%	188%	129%	173	225%	123%	84%
98	Gainesville, FL	1,834	303	469	1,152	88	195	464,038	96,829	92,808	19,473	4,224	1,298	277%	113%	71%	649	138%	56%	35%	423	90%	37%	23%	282	320%	145%	93%	141	160%	72%	47%	92	105%	47%	30%
99	Gary, IN	1,434	179	638	1,036	95	137	392,167	80,990	78,433	16,441	3,562	1,096	172%	106%	76%	548	86%	53%	38%	357	56%	34%	25%	237	249%	173%	132%	119	125%	87%	66%	77	81%	56%	43%
100	Grand Forks, ND	952	31	374	663	18	24	130,084	25,793	26,017	5,433	1,172	362	97%	55%	38%	181	48%	27%	19%	118	32%	18%	12%	78	433%	325%	252%	39	217%	163%	126%	25	139%	104%	81%