Zip Codes with the Highest Population Density in the United States

United States Report:

Population Density

#	Zip Code	Location	City	Population	People / Sq. Mile	National Rank
1.	10162	40.769298, -73.949942	New York, New York	1,726	151,834.77	#1
2.	10028	40.776865, -73.954721	New York, New York	44,987	126,067.69	#2
3.	10128	40.781656, -73.950281	New York, New York	59,856	122,356.52	#3
4.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	115,477.17	#4
5.	10031	40.825857, -73.949451	New York, New York	60,221	101,100.03	#5
6.	10009	40.726622, -73.978955	New York, New York	58,595	100,687.04	#6
7.	10032	40.839194, -73.942591	New York, New York	63,842	97,879.45	#7
8.	11372	40.751706, -73.883561	Jackson Heights, New York	71,308	97,325.47	#8
9.	10016	40.744983, -73.978262	New York, New York	51,217	93,367.31	#9
10.	10003	40.731856, -73.989145	New York, New York	53,673	93,255.87	#10
11.	10002	40.715952, -73.985870	New York, New York	84,870	91,610.40	#11
12.	10026	40.802320, -73.952943	New York, New York	30,377	91,152.04	#12
13.	10023	40.775394, -73.982197	New York, New York	62,206	90,007.70	#13
14.	10025	40.797958, -73.964917	New York, New York	97,086	88,306.24	#14
15.	10453	40.852779, -73.912332	Bronx, New York	76,775	87,970.27	#15
16.	10030	40.818492, -73.943283	New York, New York	25,847	85,824.24	#16
17.	10021	40.769742, -73.961653	New York, New York	102,078	82,704.42	#17
18.	11226	40.646430, -73.956866	Brooklyn, New York	106,154	81,064.34	#18
19.	10029	40.792245, -73.945230	New York, New York	75,390	80,506.67	#19
20.	10012	40.725639, -73.998090	New York, New York	26,000	80,124.51	#20
21.	10033	40.849124, -73.935956	New York, New York	58,259	78,867.63	#21
22.	10040	40.858134, -73.929031	New York, New York	46,599	75,283.14	#22
23.	11104	40.744515, -73.920457	Sunnyside, New York	29,506	74,459.01	#23
24.	10452	40.837763, -73.923314	Bronx, New York	72,138	74,380.42	#24
25.	10011	40.741844, -74.000711	New York, New York	46,669	71,113.64	#25
27.	10456	40.830877, -73.907954	Bronx, New York	76,656	70,924.40	#27
28.	10010	40.739122, -73.982363	New York, New York	26,408	70,827.70	#28
29.	10468	40.868093, -73.899730	Bronx, New York	78,309	70,721.85	#29
30.	10022	40.758615, -73.967752	New York, New York	30,642	68,953.71	#30
32.	10458	40.862831, -73.886395	Bronx, New York	77,840	62,296.26	#32
33.	11103	40.762634, -73.913156	Astoria, New York	44,321	62,111.19	#33
34.	11213	40.671034, -73.936357	Brooklyn, New York	65,440	61,712.16	#34
35.	02113	42.365170, -71.055363	Boston, Massachusetts	6,401	60,728.26	#35
36.	11373	40.737347, -73.878716	Elmhurst, New York	105,723	60,548.99	#36
37.	10457	40.846687, -73.898374	Bronx, New York	69,048	58,547.95	#37
38.	10024	40.786307, -73.970694	New York, New York	61,414	58,433.71	#38
39.	10014	40.733471, -74.007098	New York, New York	32,667	57,977.33	#39
40.	11216	40.680854, -73.949144	Brooklyn, New York	55,775	57,545.77	#40
41.	11219	40.632769, -73.996642	Brooklyn, New York	85,987	57,544.50	#41
42.	10472	40.829650, -73.869368	Bronx, New York	64,867	57,252.59	#42
43.	11212	40.662907, -73.912969	Brooklyn, New York	85,161	55,655.62	#43
44.	11221	40.691310, -73.927772	Brooklyn, New York	76,363	55,063.29	#44
46.	10027	40.811407, -73.953564	New York, New York	56,168	55,006.21	#46
47.	11220	40.641307, -74.016251	Brooklyn, New York	92,718	54,760.03	#47
48.	94108	37.791998, -122.408653	San Francisco, California	13,716	53,134.47	#48
49.	11218	40.643783, -73.975954	Brooklyn, New York	74,611	51,580.19	#49
51.	10455	40.814678, -73.908333	Bronx, New York	37,465	50,333.01	#51
52.	11106	40.762211, -73.931528	Astoria, New York	43,130	49,707.26	#52
53.	10017	40.752292, -73.972393	New York, New York	16,201	49,391.49	#53
54.	90057	34.061918, -118.277939	Los Angeles, California	43,986	49,226.28	#54
55.	10462	40.842823, -73.858861	Bronx, New York	72,077	48,907.02	#55
56.	11206	40.702037, -73.942444	Brooklyn, New York	69,032	48,593.28	#56
57.	11237	40.704160, -73.921139	Brooklyn, New York	48,910	48,552.49	#57
59.	10019	40.766331, -73.985013	New York, New York	36,012	48,230.17	#59
60.	11230	40.622104, -73.965118	Brooklyn, New York	88,933	48,088.05	#60
61.	07093	40.788031, -74.011606	West New York, New Jersey	56,559	47,972.38	#61
62.	10034	40.869208, -73.921929	New York, New York	41,756	47,051.23	#62
63.	11204	40.618675, -73.984893	Brooklyn, New York	74,880	46,953.11	#63
64.	94109	37.794487, -122.422270	San Francisco, California	56,322	46,521.46	#64
65.	10459	40.825558, -73.893156	Bronx, New York	39,080	46,368.65	#65
66.	11217	40.682306, -73.978099	Brooklyn, New York	35,353	46,140.97	#66
67.	11233	40.678089, -73.919867	Brooklyn, New York	61,955	46,112.06	#67
68.	10013	40.720067, -74.004829	New York, New York	25,042	45,458.99	#68
69.	11211	40.713507, -73.952578	Brooklyn, New York	85,089	44,840.17	#69
70.	11225	40.662236, -73.958951	Brooklyn, New York	63,774	44,803.32	#70
71.	94102	37.779500, -122.419233	San Francisco, California	28,991	44,719.24	#71
72.	11102	40.772884, -73.926295	Astoria, New York	36,291	44,416.74	#72
73.	10280	40.708501, -74.016828	New York, New York	6,614	44,080.87	#73
74.	11419	40.688685, -73.822882	South Richmond Hill, New York	48,867	43,351.49	#74
75.	11238	40.678424, -73.963874	Brooklyn, New York	48,965	42,063.29	#75
76.	11355	40.750123, -73.820977	Flushing, New York	83,281	40,980.07	#76
77.	94133	37.802071, -122.411004	San Francisco, California	26,827	40,117.97	#77
79.	10451	40.822092, -73.922612	Bronx, New York	40,961	39,106.39	#79
80.	11368	40.749407, -73.852780	Corona, New York	98,841	38,864.33	#80
81.	11210	40.628049, -73.946278	Brooklyn, New York	62,308	38,833.14	#81
82.	11203	40.649411, -73.934397	Brooklyn, New York	84,498	38,695.54	#82
83.	10463	40.880678, -73.906540	Bronx, New York	65,576	38,449.34	#83
84.	90020	34.066367, -118.309868	Los Angeles, California	42,383	38,325.38	#84
85.	11214	40.598668, -73.996212	Brooklyn, New York	83,546	38,227.99	#85
86.	07087	40.767853, -74.028069	Union City, New Jersey	80,589	37,931.73	#86
87.	90005	34.059281, -118.307420	Los Angeles, California	43,014	37,531.55	#87
88.	11223	40.597427, -73.973039	Brooklyn, New York	77,691	37,104.95	#88
89.	11229	40.601293, -73.944493	Brooklyn, New York	80,554	36,919.61	#89
94.	11435	40.701408, -73.809817	Jamaica, New York	53,877	35,207.72	#94
95.	11224	40.577257, -73.989762	Brooklyn, New York	51,205	35,066.79	#95
96.	11416	40.684614, -73.849509	Ozone Park, New York	23,668	34,977.35	#96
97.	11377	40.744813, -73.905122	Woodside, New York	88,339	34,536.25	#97
98.	60626	42.009340, -87.669902	Chicago, Illinois	59,251	34,520.21	#98
99.	60660	41.990561, -87.664706	Chicago, Illinois	47,726	34,193.05	#99
100.	20009	38.919144, -77.037381	Washington, District Of Columbia	46,561	33,927.58	#100
26.	10039	40.826296, -73.937053	New York, New York	21,737	70,988.68	#26
31.	10037	40.813159, -73.937352	New York, New York	16,984	65,200.97	#31
45.	10038	40.709336, -74.002943	New York, New York	15,574	55,019.61	#45
50.	98174	47.604569, -122.335359	Seattle, Washington	180	50,978.44	#50
58.	11374	40.726219, -73.861264	Rego Park, New York	44,189	48,499.11	#58
78.	10044	40.762050, -73.949933	New York, New York	9,520	39,391.64	#78
90.	10036	40.759614, -73.991148	New York, New York	18,751	36,429.01	#90
91.	95502	40.814596, -124.080410	Eureka, California	170	35,496.45	#91
92.	11415	40.708229, -73.827867	Kew Gardens, New York	20,956	35,355.55	#92
93.	93216	35.772237, -119.269620	Delano, California	4,412	35,347.59	#93

1-100 out of 31,799 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