Zip Codes with the Highest Percentage of Housing Units occupied by the Tenant/Renter in New York

New York Report:

Percentage of Housing Units occupied by the Tenant/Renter

Percentage of Housing Units occupied by the Tenant/Renter in the United States by Zip Code

Percentage of Housing Units occupied by the Tenant/Renter in the United States by City

#	Zip Code	Location	City	Population	% Tenant-Occupied	National Rank
1.	10170	40.752625, -73.975877	New York, New York	1	100.00 %	#3
2.	10171	40.755899, -73.973858	New York, New York	1	100.00 %	#4
3.	10020	40.758236, -73.978833	New York, New York	1	100.00 %	#5
4.	10165	40.752131, -73.978722	New York, New York	7	100.00 %	#24
5.	10162	40.769298, -73.949942	New York, New York	1,726	98.93 %	#27
6.	13603	44.035347, -75.804288	Watertown, New York	7,498	98.33 %	#30
7.	10996	41.393700, -73.972175	West Point, New York	7,126	94.41 %	#59
8.	11239	40.644728, -73.879186	Brooklyn, New York	14,620	93.57 %	#66
9.	10452	40.837763, -73.923314	Bronx, New York	72,138	93.12 %	#72
10.	10282	40.717017, -74.015566	New York, New York	1,574	92.03 %	#85
11.	13602	44.061817, -75.741909	Fort Drum, New York	4,651	91.66 %	#89
12.	10034	40.869208, -73.921929	New York, New York	41,756	91.31 %	#93
13.	10032	40.839194, -73.942591	New York, New York	63,842	90.24 %	#100
14.	10040	40.858134, -73.929031	New York, New York	46,599	89.78 %	#112
15.	10458	40.862831, -73.886395	Bronx, New York	77,840	89.77 %	#113
16.	14604	43.157078, -77.604677	Rochester, New York	1,683	89.70 %	#115
17.	10033	40.849124, -73.935956	New York, New York	58,259	89.37 %	#122
18.	10009	40.726622, -73.978955	New York, New York	58,595	89.33 %	#125
19.	10037	40.813159, -73.937352	New York, New York	16,984	89.18 %	#128
20.	10453	40.852779, -73.912332	Bronx, New York	76,775	88.58 %	#133
21.	10035	40.795487, -73.929501	New York, New York	32,702	88.31 %	#137
22.	10029	40.792245, -73.945230	New York, New York	75,390	87.80 %	#145
23.	10044	40.762050, -73.949933	New York, New York	9,520	87.60 %	#147
24.	10456	40.830877, -73.907954	Bronx, New York	76,656	87.54 %	#148
25.	10005	40.705390, -74.008988	New York, New York	884	87.01 %	#157
26.	10455	40.814678, -73.908333	Bronx, New York	37,465	86.69 %	#160
27.	12207	42.658332, -73.746412	Albany, New York	2,187	86.64 %	#161
28.	10457	40.846687, -73.898374	Bronx, New York	69,048	86.52 %	#163
29.	10454	40.805528, -73.916632	Bronx, New York	34,976	86.30 %	#169
30.	10468	40.868093, -73.899730	Bronx, New York	78,309	86.15 %	#172
31.	10036	40.759614, -73.991148	New York, New York	18,751	85.89 %	#178
32.	11226	40.646430, -73.956866	Brooklyn, New York	106,154	85.79 %	#180
33.	10031	40.825857, -73.949451	New York, New York	60,221	85.60 %	#188
34.	11237	40.704160, -73.921139	Brooklyn, New York	48,910	84.94 %	#195
35.	11206	40.702037, -73.942444	Brooklyn, New York	69,032	84.68 %	#200
36.	10039	40.826296, -73.937053	New York, New York	21,737	84.60 %	#202
37.	11101	40.746970, -73.937530	Long Island City, New York	25,595	84.11 %	#206
38.	10451	40.822092, -73.922612	Bronx, New York	40,961	83.90 %	#208
39.	10467	40.877420, -73.872597	Bronx, New York	94,342	83.45 %	#214
40.	11211	40.713507, -73.952578	Brooklyn, New York	85,089	83.26 %	#217
41.	11104	40.744515, -73.920457	Sunnyside, New York	29,506	83.12 %	#219
42.	10460	40.842724, -73.879745	Bronx, New York	53,707	83.01 %	#223
43.	10002	40.715952, -73.985870	New York, New York	84,870	83.01 %	#224
44.	10474	40.810203, -73.884437	Bronx, New York	11,354	82.56 %	#232
45.	11225	40.662236, -73.958951	Brooklyn, New York	63,774	82.17 %	#237
46.	10006	40.707970, -74.013610	New York, New York	1,447	82.10 %	#238
47.	11106	40.762211, -73.931528	Astoria, New York	43,130	80.95 %	#250
48.	11102	40.772884, -73.926295	Astoria, New York	36,291	80.70 %	#254
49.	11103	40.762634, -73.913156	Astoria, New York	44,321	80.63 %	#255
50.	11212	40.662907, -73.912969	Brooklyn, New York	85,161	80.56 %	#256
51.	10472	40.829650, -73.869368	Bronx, New York	64,867	79.70 %	#267
52.	10026	40.802320, -73.952943	New York, New York	30,377	79.70 %	#268
53.	10030	40.818492, -73.943283	New York, New York	25,847	78.79 %	#281
54.	10027	40.811407, -73.953564	New York, New York	56,168	78.79 %	#282
55.	10459	40.825558, -73.893156	Bronx, New York	39,080	78.59 %	#288
56.	13202	43.043592, -76.150628	Syracuse, New York	5,434	78.42 %	#294
57.	14607	43.150826, -77.586219	Rochester, New York	16,297	78.23 %	#297
58.	11213	40.671034, -73.936357	Brooklyn, New York	65,440	77.98 %	#305
59.	10012	40.725639, -73.998090	New York, New York	26,000	77.97 %	#306
60.	11205	40.696771, -73.967061	Brooklyn, New York	35,622	77.02 %	#319
61.	11368	40.749407, -73.852780	Corona, New York	98,841	76.50 %	#330
62.	11222	40.728367, -73.945427	Brooklyn, New York	39,360	76.45 %	#332
63.	11224	40.577257, -73.989762	Brooklyn, New York	51,205	75.93 %	#345
64.	10025	40.797958, -73.964917	New York, New York	97,086	75.72 %	#347
65.	11232	40.655827, -74.006829	Brooklyn, New York	27,723	74.51 %	#372
66.	11231	40.677916, -74.005154	Brooklyn, New York	32,974	74.15 %	#378
67.	14203	42.848139, -78.847987	Buffalo, New York	1,009	74.03 %	#381
68.	10473	40.817685, -73.858576	Bronx, New York	56,166	73.45 %	#394
69.	11216	40.680854, -73.949144	Brooklyn, New York	55,775	73.32 %	#397
70.	11217	40.682306, -73.978099	Brooklyn, New York	35,353	73.23 %	#403
71.	10014	40.733471, -74.007098	New York, New York	32,667	73.15 %	#405
72.	11415	40.708229, -73.827867	Kew Gardens, New York	20,956	72.43 %	#419
73.	10019	40.766331, -73.985013	New York, New York	36,012	72.39 %	#421
74.	10016	40.744983, -73.978262	New York, New York	51,217	72.38 %	#422
75.	11220	40.641307, -74.016251	Brooklyn, New York	92,718	72.01 %	#438
76.	10462	40.842823, -73.858861	Bronx, New York	72,077	71.99 %	#439
77.	11219	40.632769, -73.996642	Brooklyn, New York	85,987	71.93 %	#441
78.	11691	40.600774, -73.757824	Far Rockaway, New York	56,184	71.75 %	#447
79.	11372	40.751706, -73.883561	Jackson Heights, New York	71,308	71.72 %	#449
80.	11238	40.678424, -73.963874	Brooklyn, New York	48,965	71.52 %	#453
81.	10550	40.905448, -73.835253	Mount Vernon, New York	38,284	71.44 %	#456
82.	10013	40.720067, -74.004829	New York, New York	25,042	71.39 %	#461
83.	10010	40.739122, -73.982363	New York, New York	26,408	71.10 %	#471
84.	10001	40.750722, -73.997276	New York, New York	17,310	71.08 %	#472
85.	11373	40.737347, -73.878716	Elmhurst, New York	105,723	70.98 %	#474
86.	11218	40.643783, -73.975954	Brooklyn, New York	74,611	70.87 %	#477
87.	10018	40.754969, -73.992126	New York, New York	4,255	70.81 %	#479
88.	14202	42.881855, -78.877198	Buffalo, New York	4,136	70.66 %	#481
89.	10128	40.781656, -73.950281	New York, New York	59,856	70.50 %	#485
90.	11233	40.678089, -73.919867	Brooklyn, New York	61,955	70.48 %	#486
91.	12305	42.815918, -73.944331	Schenectady, New York	5,922	70.22 %	#492
92.	11230	40.622104, -73.965118	Brooklyn, New York	88,933	70.22 %	#493
93.	12084	42.704563, -73.899429	Guilderland, New York	4,214	70.09 %	#499
94.	11377	40.744813, -73.905122	Woodside, New York	88,339	70.01 %	#503
95.	10463	40.880678, -73.906540	Bronx, New York	65,576	69.99 %	#505
96.	10003	40.731856, -73.989145	New York, New York	53,673	69.60 %	#518
97.	10038	40.709336, -74.002943	New York, New York	15,574	69.57 %	#519
98.	11221	40.691310, -73.927772	Brooklyn, New York	76,363	69.53 %	#520
99.	11207	40.670361, -73.893848	Brooklyn, New York	86,551	69.51 %	#521
100.	11209	40.622352, -74.030431	Brooklyn, New York	69,840	68.82 %	#538

1-100 out of 1,597 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