Zip Codes with the Highest Percentage of Apartment Buildings & Condos in the United States

United States Report:

Percentage of Apartment Buildings & Condos

#	Zip Code	Location	City	Population	% Apart./Condos	National Rank
1.	10069	40.775551, -73.989689	New York, New York	1,403	100.00 %	#1
2.	10162	40.769298, -73.949942	New York, New York	1,726	100.00 %	#2
3.	10503	41.025560, -73.874987	Ardsley On Hudson, New York	115	100.00 %	#3
4.	77010	29.754310, -95.361109	Houston, Texas	76	100.00 %	#4
5.	48109	42.288512, -83.718004	Ann Arbor, Michigan	4,152	100.00 %	#5
6.	79406	33.583653, -101.878651	Lubbock, Texas	4,470	100.00 %	#6
7.	24142	37.137882, -80.550906	Radford, Virginia	2,755	100.00 %	#7
8.	10280	40.708501, -74.016828	New York, New York	6,614	99.67 %	#8
9.	10282	40.717017, -74.015566	New York, New York	1,574	99.25 %	#9
10.	02199	42.347465, -71.082058	Boston, Massachusetts	1,005	99.08 %	#10
11.	44503	41.098889, -80.648012	Youngstown, Ohio	998	98.74 %	#11
12.	02142	42.361280, -71.083753	Cambridge, Massachusetts	2,258	98.44 %	#12
13.	20004	38.894991, -77.029915	Washington, District Of Columbia	901	98.08 %	#13
14.	10044	40.762050, -73.949933	New York, New York	9,520	98.00 %	#14
15.	11005	40.756578, -73.714178	Floral Park, New York	2,195	97.85 %	#15
16.	60601	41.885805, -87.622911	Chicago, Illinois	5,591	96.98 %	#16
17.	10005	40.705390, -74.008988	New York, New York	884	96.88 %	#17
18.	55402	44.975968, -93.271425	Minneapolis, Minnesota	176	96.84 %	#18
19.	33131	25.760666, -80.184460	Miami, Florida	4,723	96.43 %	#19
20.	98101	47.610198, -122.334555	Seattle, Washington	9,010	96.41 %	#20
21.	84112	40.764906, -111.840937	Salt Lake City, Utah	1,648	96.37 %	#21
22.	37219	36.166457, -86.782946	Nashville, Tennessee	830	96.37 %	#22
23.	37228	36.196291, -86.803583	Nashville, Tennessee	331	96.09 %	#23
24.	10004	40.691870, -74.014109	New York, New York	1,225	96.03 %	#24
25.	02110	42.357371, -71.053180	Boston, Massachusetts	1,428	95.99 %	#25
26.	60606	41.881988, -87.637329	Chicago, Illinois	1,682	95.95 %	#26
27.	20006	38.897813, -77.042080	Washington, District Of Columbia	1,874	95.56 %	#27
28.	98121	47.614743, -122.345855	Seattle, Washington	8,558	95.42 %	#28
29.	94105	37.789168, -122.395009	San Francisco, California	2,058	95.13 %	#29
30.	60611	41.893024, -87.618998	Chicago, Illinois	26,522	95.04 %	#30
31.	97204	45.518775, -122.675276	Portland, Oregon	1,319	94.95 %	#31
32.	02210	42.347682, -71.041731	Boston, Massachusetts	592	94.32 %	#32
33.	90014	34.043144, -118.251977	Los Angeles, California	3,518	94.14 %	#33
34.	60661	41.882458, -87.643946	Chicago, Illinois	4,382	93.90 %	#34
35.	75202	32.778020, -96.803920	Dallas, Texas	1,338	93.69 %	#35
36.	01103	42.104011, -72.591538	Springfield, Massachusetts	2,661	92.99 %	#36
37.	53203	43.038491, -87.916365	Milwaukee, Wisconsin	335	92.92 %	#37
38.	48226	42.329963, -83.051143	Detroit, Michigan	6,138	92.81 %	#38
39.	10017	40.752292, -73.972393	New York, New York	16,201	92.40 %	#39
40.	90013	34.044639, -118.240413	Los Angeles, California	9,727	91.73 %	#40
41.	10040	40.858134, -73.929031	New York, New York	46,599	91.73 %	#41
42.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	91.62 %	#42
43.	77046	29.733084, -95.430659	Houston, Texas	471	91.37 %	#43
44.	10475	40.875266, -73.826037	Bronx, New York	38,086	91.23 %	#44
45.	11239	40.644728, -73.879186	Brooklyn, New York	14,620	90.57 %	#45
46.	63102	38.651211, -90.185906	Saint Louis, Missouri	1,311	90.52 %	#46
47.	97205	45.520414, -122.688800	Portland, Oregon	6,212	90.48 %	#47
48.	10034	40.869208, -73.921929	New York, New York	41,756	90.45 %	#48
49.	07310	40.731082, -74.038712	Jersey City, New Jersey	6,416	90.21 %	#49
50.	02163	42.366168, -71.122850	Boston, Massachusetts	1,191	89.94 %	#50
51.	10010	40.739122, -73.982363	New York, New York	26,408	89.22 %	#51
52.	10038	40.709336, -74.002943	New York, New York	15,574	88.60 %	#52
53.	18503	41.411475, -75.667131	Scranton, Pennsylvania	1,165	88.59 %	#53
54.	20037	38.900222, -77.053925	Washington, District Of Columbia	12,642	88.53 %	#54
55.	94111	37.801776, -122.402293	San Francisco, California	3,335	88.44 %	#55
56.	10022	40.758615, -73.967752	New York, New York	30,642	88.27 %	#56
57.	80202	39.752025, -104.997671	Denver, Colorado	4,364	87.74 %	#57
58.	99693	60.314014, -148.351680	Whittier, Alaska	221	87.39 %	#58
59.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	87.32 %	#59
60.	10033	40.849124, -73.935956	New York, New York	58,259	87.16 %	#60
61.	33160	25.937576, -80.136088	North Miami Beach, Florida	33,833	86.46 %	#61
62.	10452	40.837763, -73.923314	Bronx, New York	72,138	86.43 %	#62
63.	94104	37.791222, -122.402241	San Francisco, California	374	86.05 %	#63
64.	14604	43.157078, -77.604677	Rochester, New York	1,683	86.03 %	#64
65.	10016	40.744983, -73.978262	New York, New York	51,217	85.76 %	#65
66.	15222	40.449245, -79.990645	Pittsburgh, Pennsylvania	1,999	85.75 %	#66
67.	33132	25.778369, -80.175785	Miami, Florida	5,322	85.72 %	#67
68.	10463	40.880678, -73.906540	Bronx, New York	65,576	85.69 %	#68
69.	75201	32.787764, -96.800135	Dallas, Texas	3,348	85.62 %	#69
70.	77002	29.756845, -95.365652	Houston, Texas	13,289	85.53 %	#70
71.	10006	40.707970, -74.013610	New York, New York	1,447	85.40 %	#71
72.	44308	41.081706, -81.517566	Akron, Ohio	904	85.03 %	#72
73.	10037	40.813159, -73.937352	New York, New York	16,984	84.80 %	#73
74.	10468	40.868093, -73.899730	Bronx, New York	78,309	84.50 %	#74
75.	10019	40.766331, -73.985013	New York, New York	36,012	84.19 %	#75
76.	30303	33.752717, -84.390679	Atlanta, Georgia	3,744	84.18 %	#76
77.	35233	33.508303, -86.802129	Birmingham, Alabama	204	83.54 %	#77
78.	10025	40.797958, -73.964917	New York, New York	97,086	83.25 %	#78
79.	10451	40.822092, -73.922612	Bronx, New York	40,961	83.06 %	#79
80.	60605	41.857651, -87.615592	Chicago, Illinois	12,423	82.64 %	#80
81.	46204	39.771497, -86.156854	Indianapolis, Indiana	6,636	82.62 %	#81
82.	60610	41.900034, -87.636967	Chicago, Illinois	47,513	82.60 %	#82
83.	10021	40.769742, -73.961653	New York, New York	102,078	82.28 %	#83
84.	10032	40.839194, -73.942591	New York, New York	63,842	82.23 %	#84
85.	19102	39.953423, -75.165384	Philadelphia, Pennsylvania	4,396	81.91 %	#85
86.	06901	41.053558, -73.538219	Stamford, Connecticut	6,398	81.88 %	#86
87.	75251	32.919435, -96.774780	Dallas, Texas	1,331	81.01 %	#87
88.	10453	40.852779, -73.912332	Bronx, New York	76,775	80.62 %	#88
89.	78205	29.424470, -98.487456	San Antonio, Texas	1,564	80.54 %	#89
90.	10023	40.775394, -73.982197	New York, New York	62,206	80.41 %	#90
91.	98104	47.601701, -122.327670	Seattle, Washington	13,095	79.72 %	#91
92.	30326	33.849787, -84.364521	Atlanta, Georgia	1,075	79.55 %	#92
93.	20036	38.906919, -77.041489	Washington, District Of Columbia	3,808	79.49 %	#93
94.	10001	40.750722, -73.997276	New York, New York	17,310	79.45 %	#94
95.	63103	38.629877, -90.216700	Saint Louis, Missouri	4,603	79.30 %	#95
96.	30346	33.925077, -84.338507	Atlanta, Georgia	1,452	79.27 %	#96
97.	98402	47.251349, -122.443181	Tacoma, Washington	4,935	79.21 %	#97
98.	90067	34.057496, -118.413959	Los Angeles, California	2,524	79.14 %	#98
99.	20005	38.904575, -77.031552	Washington, District Of Columbia	10,610	79.14 %	#99
100.	97209	45.529896, -122.684777	Portland, Oregon	8,107	79.03 %	#100

1-100 out of 31,719 total

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% 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