Zip Codes with the Highest Percentage of Housing Units occupied by the Tenant/Renter in the United States

United States Report:

Percentage of Housing Units occupied by the Tenant/Renter

#	Zip Code	Location	City	Population	% Tenant-Occupied	National Rank
1.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	100.00 %	#1
2.	90822	33.778436, -118.118648	Long Beach, California	422	100.00 %	#2
3.	10170	40.752625, -73.975877	New York, New York	1	100.00 %	#3
4.	10171	40.755899, -73.973858	New York, New York	1	100.00 %	#4
5.	10020	40.758236, -73.978833	New York, New York	1	100.00 %	#5
6.	16802	40.810014, -77.865970	University Park, Pennsylvania	9,172	100.00 %	#6
7.	21031	39.488697, -76.657346	Hunt Valley, Maryland	59	100.00 %	#7
8.	23691	37.250570, -76.584352	Yorktown, Virginia	158	100.00 %	#8
9.	24142	37.137882, -80.550906	Radford, Virginia	2,755	100.00 %	#9
10.	27109	36.132547, -80.277512	Winston Salem, North Carolina	1,640	100.00 %	#10
11.	29423	32.980483, -80.070695	Charleston, South Carolina	791	100.00 %	#11
12.	38132	35.071052, -89.994613	Memphis, Tennessee	80	100.00 %	#12
13.	39762	33.453406, -88.791762	Mississippi State, Mississippi	856	100.00 %	#13
14.	49016	42.345877, -85.290441	Battle Creek, Michigan	293	100.00 %	#14
15.	51502	41.272467, -95.795890	Council Bluffs, Iowa	137	100.00 %	#15
16.	53706	43.075823, -89.409403	Madison, Wisconsin	5,293	100.00 %	#16
17.	58202	47.921494, -97.074972	Grand Forks, North Dakota	2,406	100.00 %	#17
18.	58505	46.820211, -100.780918	Bismarck, North Dakota	2	100.00 %	#18
19.	76127	32.764822, -97.419502	Naval Air Station Jrb, Texas	289	100.00 %	#19
20.	76798	31.547131, -97.120333	Waco, Texas	3,123	100.00 %	#20
21.	90263	34.037037, -118.705803	Malibu, California	2	100.00 %	#21
22.	88003	32.277763, -106.746824	Las Cruces, New Mexico	1,614	100.00 %	#22
23.	88004	32.194713, -106.909546	Las Cruces, New Mexico	787	100.00 %	#23
24.	10165	40.752131, -73.978722	New York, New York	7	100.00 %	#24
25.	84056	41.129127, -111.991930	Hill Afb, Utah	4,785	98.96 %	#25
26.	22989	38.294704, -78.111236	Woodberry Forest, Virginia	213	98.93 %	#26
27.	10162	40.769298, -73.949942	New York, New York	1,726	98.93 %	#27
28.	32403	30.058624, -85.584016	Panama City, Florida	2,757	98.64 %	#28
29.	32212	30.214949, -81.687118	Jacksonville, Florida	2,485	98.56 %	#29
30.	13603	44.035347, -75.804288	Watertown, New York	7,498	98.33 %	#30
31.	73503	34.682971, -98.491820	Fort Sill, Oklahoma	12,033	97.71 %	#31
32.	32925	28.234336, -80.607838	Patrick Afb, Florida	2,137	97.67 %	#32
33.	78235	29.346131, -98.435643	San Antonio, Texas	692	97.64 %	#33
34.	79607	32.420775, -99.838746	Dyess Afb, Texas	4,969	97.44 %	#34
35.	45433	39.822987, -84.048310	Dayton, Ohio	3,140	97.22 %	#35
36.	79111	35.209175, -101.698223	Amarillo, Texas	1,739	97.21 %	#36
37.	23651	37.008282, -76.306893	Fort Monroe, Virginia	1,253	97.00 %	#37
38.	98315	47.722257, -122.714126	Silverdale, Washington	7,253	96.73 %	#38
39.	28307	35.126386, -79.041011	Fort Bragg, North Carolina	31,769	96.52 %	#39
40.	76544	31.229970, -97.763278	Killeen, Texas	33,894	96.38 %	#40
41.	28547	34.645890, -77.325040	Camp Lejeune, North Carolina	21,632	96.29 %	#41
42.	98433	47.058096, -122.624550	Tacoma, Washington	19,645	96.13 %	#42
43.	66442	39.091847, -96.790133	Fort Riley, Kansas	11,376	96.02 %	#43
44.	02163	42.366168, -71.122850	Boston, Massachusetts	1,191	96.00 %	#44
45.	76311	33.981932, -98.500622	Sheppard Afb, Texas	9,395	95.95 %	#45
46.	78234	29.460597, -98.438554	San Antonio, Texas	5,390	95.54 %	#46
47.	79406	33.583653, -101.878651	Lubbock, Texas	4,470	95.34 %	#47
48.	71110	32.504882, -93.596138	Barksdale Afb, Louisiana	3,459	95.17 %	#48
49.	36115	32.407043, -86.246583	Montgomery, Alabama	845	94.94 %	#49
50.	43210	40.001081, -83.022094	Columbus, Ohio	9,728	94.87 %	#50
51.	30905	33.392652, -82.170859	Augusta, Georgia	7,751	94.81 %	#51
52.	22211	38.877630, -77.069449	Ft Myer, Virginia	1,293	94.76 %	#52
53.	94535	38.265899, -121.939461	Travis Afb, California	9,966	94.68 %	#53
54.	23801	37.245604, -77.336063	Fort Lee, Virginia	7,269	94.60 %	#54
55.	48824	42.727613, -84.481415	East Lansing, Michigan	12,650	94.59 %	#55
56.	37228	36.196291, -86.803583	Nashville, Tennessee	331	94.59 %	#56
57.	32544	30.557546, -86.673433	Hurlburt Field, Florida	3,093	94.55 %	#57
58.	68010	41.256275, -96.122902	Boys Town, Nebraska	775	94.54 %	#58
59.	10996	41.393700, -73.972175	West Point, New York	7,126	94.41 %	#59
60.	01731	42.457959, -71.279168	Hanscom Afb, Massachusetts	2,933	94.11 %	#60
61.	99702	64.690832, -146.599867	Eielson Afb, Alaska	5,388	94.10 %	#61
62.	99703	64.832754, -147.607973	Fort Wainwright, Alaska	7,374	93.94 %	#62
63.	66027	39.361381, -94.916535	Fort Leavenworth, Kansas	6,638	93.91 %	#63
64.	99506	61.253463, -149.810757	Elmendorf Afb, Alaska	6,621	93.83 %	#64
65.	65305	38.733096, -93.553162	Whiteman Air Force Base, Missouri	3,819	93.79 %	#65
66.	11239	40.644728, -73.879186	Brooklyn, New York	14,620	93.57 %	#66
67.	95113	37.333851, -121.891147	San Jose, California	543	93.55 %	#67
68.	44308	41.081706, -81.517566	Akron, Ohio	904	93.54 %	#68
69.	02199	42.347465, -71.082058	Boston, Massachusetts	1,005	93.32 %	#70
70.	64147	38.852723, -94.550490	Kansas City, Missouri	743	93.26 %	#71
71.	10452	40.837763, -73.923314	Bronx, New York	72,138	93.12 %	#72
72.	33621	27.852365, -82.497928	Tampa, Florida	2,689	93.09 %	#73
73.	23459	36.923015, -76.017352	Virginia Beach, Virginia	1,035	92.97 %	#74
74.	42223	36.607591, -87.510775	Fort Campbell, Kentucky	21,539	92.87 %	#75
75.	45642	39.046999, -83.054263	Jasper, Ohio	47	92.85 %	#76
76.	23521	36.917770, -76.155540	Norfolk, Virginia	3,934	92.70 %	#77
77.	89191	36.729823, -115.558973	Nellis Afb, Nevada	3,676	92.43 %	#78
78.	73022	35.619043, -97.978287	Concho, Oklahoma	92	92.30 %	#79
79.	66506	39.195933, -96.581034	Manhattan, Kansas	2,476	92.30 %	#80
80.	22448	38.336332, -77.028442	Dahlgren, Virginia	998	92.30 %	#81
81.	83648	43.049579, -115.866402	Mountain Home A F B, Idaho	8,894	92.20 %	#82
82.	90014	34.043144, -118.251977	Los Angeles, California	3,518	92.19 %	#83
83.	99011	47.617755, -117.652766	Fairchild Air Force Base, Washington	4,688	92.17 %	#84
84.	10282	40.717017, -74.015566	New York, New York	1,574	92.03 %	#85
85.	23604	37.105026, -76.574793	Fort Eustis, Virginia	5,738	91.80 %	#86
86.	76155	32.847324, -97.054607	Fort Worth, Texas	2,626	91.67 %	#88
87.	13602	44.061817, -75.741909	Fort Drum, New York	4,651	91.66 %	#89
88.	90028	34.099869, -118.326843	Los Angeles, California	30,562	91.51 %	#90
89.	66019	38.945765, -95.003763	Clearview City, Kansas	339	91.48 %	#91
90.	62225	38.543095, -89.851779	Scott Air Force Base, Illinois	5,348	91.40 %	#92
91.	10034	40.869208, -73.921929	New York, New York	41,756	91.31 %	#93
92.	31905	32.383712, -84.918836	Fort Benning, Georgia	23,421	91.26 %	#94
93.	62523	39.843835, -88.952387	Decatur, Illinois	879	91.05 %	#95
94.	92310	35.349241, -116.770281	Fort Irwin, California	9,460	91.03 %	#96
95.	31315	31.887053, -81.601648	Fort Stewart, Georgia	9,419	91.00 %	#97
96.	90017	34.052842, -118.264495	Los Angeles, California	20,689	90.35 %	#98
97.	32542	30.464551, -86.525167	Eglin Afb, Florida	9,589	90.28 %	#99
98.	10032	40.839194, -73.942591	New York, New York	63,842	90.24 %	#100
99.	99505	61.302810, -149.632844	Fort Richardson, Alaska	5,322	90.22 %	#101
100.	91502	34.177267, -118.310030	Burbank, California	11,500	90.19 %	#102

1-100 out of 31,773 total

1 2 3 4 5 6 ... [ Last >> ] ... [ Next >> ]

% Apart./Condos
% Arabs
% Asians
% Blacks
% Bottled Gas
% Carpool to Work
% Children Under 10
% Chinese
% Coal / Coke
% College Grad.
% Construction Jobs
% Cubans
% Czechs
% Danish
% Detached
% Drive to Work
% Dutch
% Electrical
% English
% Farming Jobs
% Filipinos
% French
% French Canadians
% Fuel/Oil
% Germans
% Gov. Employees

% Greeks
% H/Income < $10k
% H/Income > $100k
% H/holds 1+ Car
% H/holds 2+ Cars
% High School Grad.
% Hispanics
% Hungarians
% In Agricultural
% In Arts
% In College
% In Construction
% In Finance
% In High School
% In IT
% In Labor Force
% In Labor Force (f)
% In Labor Force (m)
% In Manufacturing
% In Military
% In Retail Trade
% In Science
% In Social Work
% In Transportation
% Income Over $200k
% Indians (Asian)

% Irish
% Italians
% Japanese
% Korens
% Lithuanians
% Management Jobs
% Mexicans
% Natives
% No-Mortgage Prop.
% Norwegians
% Not in Labor Force
% Owner-Occupied
% Poles
% Portugese
% Poverty Level
% Poverty Level
% Production Jobs
% Properties < $200k
% Properties < $500k
% Properties > $1M
% Properties > $500k
% Pub/Transit
% Russians
% Sales Jobs
% Scotts
% Self-Employed

% Seniors Over 65
% Service Jobs
% Slovaks
% Solar Heated
% Swedes
% Swiss
% Tenant-Occupied
% Ukranians
% Unemployment Rate
% Utility Gas
% Vacant Homes
% Walk to Work
% Welsh
% West Indians
% Whites
% Wood Heated
% Work from Home
Avg. Income/H/hold
Avg. Income/Person
Avg. Population Age
Commute Time
Females / Male
Males / Female
People / Sq. Mile
Rooms / Home