ZIP codes with the highest obesity rate

The 100 ZIP codes in the United States with the highest adult obesity rate, and the 100 with the lowest, out of 21,209 with a published figure and at least 1,000 residents.

Highest adult obesity rate

	ZIP	Place	Adult obesity rate	Population
1	75886	Tennessee Colony, TX	62.1%	2,722
2	75884	Tennessee Colony, TX	61%	3,126
3	36786	Uniontown, AL	58.5%	2,094
4	44510	Youngstown, OH	57.9%	2,091
5	62090	Venice, IL	56.7%	1,015
6	71202	Monroe, LA	56.1%	26,791
7	46407	Gary, IN	55.4%	8,889
8	53206	Milwaukee, WI	54.9%	20,219
9	38774	Shelby, MS	54.7%	1,769
10	48505	Flint, MI	54.6%	18,108
11	35443	Boligee, AL	54.5%	1,659
12	36108	Montgomery, AL	54.5%	15,549
13	36776	Sawyerville, AL	54.4%	1,904
14	46402	Gary, IN	54.4%	5,636
15	36040	Hayneville, AL	54.2%	3,539
16	36728	Catherine, AL	53.9%	1,015
17	70086	Saint James, LA	53.8%	1,516
18	38664	Robinsonville, MS	53.8%	3,261
19	76597	Gatesville, TX	53.7%	3,333
20	38769	Rosedale, MS	53.4%	2,088
21	39038	Belzoni, MS	53.4%	5,363
22	36089	Union Springs, AL	53.3%	7,401
23	44704	Canton, OH	53.3%	3,583
24	35462	Eutaw, AL	53.2%	4,107
25	72331	Earle, AR	53.2%	2,102
26	38670	Sledge, MS	53.2%	1,066
27	23523	Norfolk, VA	53.2%	7,698
28	35442	Aliceville, AL	53.1%	5,539
29	76596	Gatesville, TX	53.1%	1,066
30	36612	Mobile, AL	53%	3,558
31	39069	Fayette, MS	53%	4,704
32	44507	Youngstown, OH	53%	4,402
33	44702	Canton, OH	53%	1,029
34	71108	Shreveport, LA	52.9%	19,012
35	36925	York, AL	52.7%	3,322
36	39169	Tchula, MS	52.7%	2,939
37	36110	Montgomery, AL	52.6%	11,692
38	92369	Patton, CA	52.6%	3,305
39	31206	Macon, GA	52.5%	25,250
40	39086	Hermanville, MS	52.5%	1,736
41	38738	Parchman, MS	52.5%	2,811
42	36740	Forkland, AL	52.4%	1,114
43	44307	Akron, OH	52.4%	6,336
44	36105	Montgomery, AL	52.3%	9,359
45	62204	East Saint Louis, IL	52.3%	4,824
46	58538	Fort Yates, ND	52.3%	2,179
47	36610	Mobile, AL	52.2%	9,692
48	36107	Montgomery, AL	52%	8,063
49	62207	East Saint Louis, IL	52%	6,801
50	62205	East Saint Louis, IL	51.9%	5,760
51	58316	Belcourt, ND	51.9%	5,902
52	57570	Rosebud, SD	51.9%	2,213
53	57572	Saint Francis, SD	51.9%	1,457
54	38737	Drew, MS	51.8%	3,150
55	39194	Yazoo City, MS	51.8%	19,699
56	26273	Huttonsville, WV	51.8%	2,130
57	71375	Waterproof, LA	51.7%	1,090
58	38631	Friars Point, MS	51.7%	1,103
59	38126	Memphis, TN	51.7%	5,723
60	36053	Midway, AL	51.6%	2,592
61	46406	Gary, IN	51.6%	8,513
62	48504	Flint, MI	51.6%	23,873
63	38754	Isola, MS	51.6%	1,268
64	44506	Youngstown, OH	51.6%	2,214
65	29468	Pineville, SC	51.6%	2,319
66	38106	Memphis, TN	51.6%	21,827
67	77703	Beaumont, TX	51.6%	11,640
68	71640	Eudora, AR	51.5%	2,190
69	62995	Vienna, IL	51.5%	6,477
70	31903	Columbus, GA	51.4%	19,521
71	46404	Gary, IN	51.4%	16,846
72	46409	Gary, IN	51.4%	7,072
73	39063	Durant, MS	51.4%	2,653
74	37410	Chattanooga, TN	51.4%	3,673
75	36744	Greensboro, AL	51.3%	5,662
76	36769	Pine Hill, AL	51.3%	2,034
77	71601	Pine Bluff, AR	51.3%	13,981
78	62914	Cairo, IL	51.3%	1,785
79	46803	Fort Wayne, IN	51.3%	11,187
80	71028	Gibsland, LA	51.3%	1,585
81	71101	Shreveport, LA	51.3%	6,174
82	39213	Jackson, MS	51.3%	18,831
83	39204	Jackson, MS	51.2%	14,048
84	38643	Lambert, MS	51.2%	1,322
85	72350	Joiner, AR	51.1%	1,091
86	71103	Shreveport, LA	51.1%	6,142
87	27849	Lewiston Woodville, NC	51.1%	1,221
88	73117	Oklahoma City, OK	51.1%	5,873
89	26280	Mill Creek, WV	51.1%	1,384
90	35234	Birmingham, AL	51%	3,828
91	52801	Davenport, IA	51%	1,670
92	39146	Pickens, MS	51%	3,057
93	44104	Cleveland, OH	51%	19,716
94	61104	Rockford, IL	50.9%	17,584
95	38646	Marks, MS	50.9%	2,571
96	57548	Lower Brule, SD	50.9%	1,526
97	72390	West Helena, AR	50.8%	7,080
98	71109	Shreveport, LA	50.8%	17,292
99	39095	Lexington, MS	50.8%	6,652
100	27105	Winston-Salem, NC	50.8%	41,257

Lowest adult obesity rate

	ZIP	Place	Adult obesity rate	Population
1	02457	Babson Park, MA	11.9%	1,886
2	80310	Boulder, CO	12.1%	7,530
3	08544	Princeton, NJ	12.1%	4,548
4	90263	Malibu, CA	12.3%	1,895
5	90639	La Mirada, CA	13.2%	1,714
6	01003	Amherst, MA	13.9%	12,458
7	01063	Northampton, MA	13.9%	2,121
8	94539	Fremont, CA	14.3%	52,609
9	94116	San Francisco, CA	14.4%	42,523
10	93106	Santa Barbara, CA	14.5%	5,613
11	20059	Washington, DC	14.6%	1,093
12	10005	New York, NY	14.6%	9,238
13	11439	Jamaica, NY	14.6%	2,171
14	10016	New York, NY	14.7%	54,297
15	10280	New York, NY	14.8%	8,668
16	91108	San Marino, CA	14.9%	12,464
17	94105	San Francisco, CA	14.9%	14,890
18	10017	New York, NY	14.9%	14,985
19	94122	San Francisco, CA	15.1%	57,369
20	10022	New York, NY	15.2%	34,340
21	11005	Floral Park, NY	15.2%	2,195
22	10003	New York, NY	15.3%	53,825
23	10013	New York, NY	15.3%	28,215
24	10065	New York, NY	15.3%	31,047
25	10006	New York, NY	15.4%	4,475
26	10021	New York, NY	15.4%	39,479
27	10028	New York, NY	15.4%	45,679
28	94118	San Francisco, CA	15.5%	39,275
29	94121	San Francisco, CA	15.6%	42,987
30	10004	New York, NY	15.6%	3,875
31	94111	San Francisco, CA	15.7%	4,553
32	10038	New York, NY	15.7%	23,342
33	10044	New York, NY	15.7%	11,998
34	29409	Charleston, SC	15.7%	2,328
35	10282	New York, NY	15.8%	5,960
36	94555	Fremont, CA	15.9%	37,500
37	94575	Moraga, CA	15.9%	1,005
38	80027	Louisville, CO	15.9%	33,998
39	80305	Boulder, CO	15.9%	16,101
40	08550	Princeton Junction, NJ	15.9%	20,876
41	10012	New York, NY	15.9%	21,846
42	94158	San Francisco, CA	16%	11,206
43	10014	New York, NY	16%	29,772
44	94123	San Francisco, CA	16.1%	24,518
45	05439	Colchester, VT	16.1%	1,244
46	10010	New York, NY	16.2%	31,905
47	10075	New York, NY	16.2%	23,865
48	94127	San Francisco, CA	16.3%	20,710
49	95014	Cupertino, CA	16.3%	61,109
50	12604	Poughkeepsie, NY	16.3%	2,118
51	10128	New York, NY	16.3%	59,000
52	95053	Santa Clara, CA	16.4%	3,153
53	10019	New York, NY	16.4%	44,276
54	10023	New York, NY	16.4%	67,468
55	91007	Arcadia, CA	16.5%	33,141
56	94107	San Francisco, CA	16.5%	30,190
57	29613	Greenville, SC	16.5%	2,301
58	98195	Seattle, WA	16.5%	2,471
59	94129	San Francisco, CA	16.6%	3,808
60	94132	San Francisco, CA	16.6%	27,406
61	94133	San Francisco, CA	16.6%	24,753
62	20052	Washington, DC	16.6%	2,290
63	14627	Rochester, NY	16.6%	3,008
64	10069	New York, NY	16.6%	6,669
65	90703	Cerritos, CA	16.7%	48,607
66	92145	San Diego, CA	16.7%	2,583
67	94108	San Francisco, CA	16.7%	11,008
68	94112	San Francisco, CA	16.7%	80,133
69	80301	Boulder, CO	16.7%	25,252
70	80503	Longmont, CO	16.7%	36,206
71	10018	New York, NY	16.7%	8,764
72	07310	Jersey City, NJ	16.8%	14,577
73	10024	New York, NY	16.8%	62,576
74	91789	Walnut, CA	16.9%	40,933
75	94134	San Francisco, CA	16.9%	40,142
76	80303	Boulder, CO	16.9%	24,934
77	80304	Boulder, CO	16.9%	25,634
78	10001	New York, NY	16.9%	29,079
79	10011	New York, NY	16.9%	49,344
80	07311	Jersey City, NJ	17%	1,954
81	91006	Arcadia, CA	17.2%	32,106
82	10577	Purchase, NY	17.2%	5,901
83	22904	Charlottesville, VA	17.2%	5,795
84	94131	San Francisco, CA	17.3%	27,809
85	23173	Richmond, VA	17.3%	2,172
86	80026	Lafayette, CO	17.4%	32,549
87	02357	North Easton, MA	17.4%	1,410
88	12222	Albany, NY	17.4%	6,494
89	10007	New York, NY	17.4%	7,802
90	92140	San Diego, CA	17.5%	2,490
91	80302	Boulder, CO	17.5%	29,751
92	20037	Washington, DC	17.5%	12,441
93	11364	Oakland Gardens, NY	17.5%	36,417
94	95129	San Jose, CA	17.6%	40,896
95	95134	San Jose, CA	17.6%	30,255
96	02113	Boston, MA	17.6%	6,522
97	94502	Alameda, CA	17.7%	13,359
98	92620	Irvine, CA	17.7%	61,744
99	94114	San Francisco, CA	17.7%	33,627
100	02325	Bridgewater, MA	17.7%	2,647

ZIP codes with fewer than 1,000 residents are excluded: a median drawn from a handful of households carries a margin of error wider than the differences being ranked. Figures the Census suppressed as unreliable are excluded too, so a ZIP code missing here has no published value rather than a low one.