Zip Codes with the Highest Percentage of Properties valued over $1,000,000 in the United States

United States Report:

Percentage of Properties valued over $1,000,000

#	Zip Code	Location	City	Population	% Properties > $1M	National Rank
1.	10036	40.759614, -73.991148	New York, New York	18,751	100.00 %	#1
2.	10001	40.750722, -73.997276	New York, New York	17,310	100.00 %	#2
3.	19710	39.793040, -75.587754	Montchanin, Delaware	38	100.00 %	#3
4.	82844	44.797803, -107.228678	Wolf, Wyoming	25	100.00 %	#4
5.	99105	46.870311, -118.080007	Benge, Washington	57	100.00 %	#5
6.	94129	37.797526, -122.464531	San Francisco, California	2,228	100.00 %	#6
7.	95646	38.631489, -120.015167	Kirkwood, California	123	100.00 %	#7
8.	95480	38.660315, -123.399666	Stewarts Point, California	27	100.00 %	#8
9.	81656	39.300343, -106.834355	Woody Creek, Colorado	404	100.00 %	#9
10.	94304	37.386978, -122.177746	Palo Alto, California	1,704	96.03 %	#10
11.	10028	40.776865, -73.954721	New York, New York	44,987	89.83 %	#11
12.	94027	37.454924, -122.203168	Atherton, California	6,857	88.95 %	#12
13.	10025	40.797958, -73.964917	New York, New York	97,086	86.11 %	#13
14.	10017	40.752292, -73.972393	New York, New York	16,201	85.36 %	#14
15.	10014	40.733471, -74.007098	New York, New York	32,667	84.57 %	#15
16.	10021	40.769742, -73.961653	New York, New York	102,078	83.95 %	#16
17.	02108	42.357554, -71.063913	Boston, Massachusetts	3,446	82.16 %	#17
18.	10016	40.744983, -73.978262	New York, New York	51,217	80.85 %	#18
19.	92067	33.012751, -117.200617	Rancho Santa Fe, California	7,601	80.18 %	#19
20.	10128	40.781656, -73.950281	New York, New York	59,856	77.02 %	#20
21.	10023	40.775394, -73.982197	New York, New York	62,206	72.00 %	#21
22.	94022	37.349546, -122.134356	Los Altos, California	18,466	67.97 %	#22
23.	10003	40.731856, -73.989145	New York, New York	53,673	67.56 %	#23
24.	94028	37.369709, -122.215844	Portola Valley, California	6,595	66.56 %	#24
25.	90210	34.099891, -118.414338	Beverly Hills, California	21,396	66.31 %	#25
26.	10024	40.786307, -73.970694	New York, New York	61,414	66.16 %	#26
27.	02114	42.363175, -71.068646	Boston, Massachusetts	10,868	64.49 %	#27
28.	90743	33.728273, -118.085304	Surfside, California	170	63.82 %	#28
29.	90402	34.035849, -118.503508	Santa Monica, California	11,492	63.37 %	#29
30.	10011	40.741844, -74.000711	New York, New York	46,669	62.92 %	#30
31.	95030	37.222842, -121.988727	Los Gatos, California	13,289	61.69 %	#31
32.	07620	40.984877, -73.912695	Alpine, New Jersey	1,649	60.51 %	#32
33.	81615	39.215552, -106.945923	Snowmass Village, Colorado	1,861	59.69 %	#33
34.	89011	36.125694, -114.928153	Henderson, Nevada	175	59.57 %	#34
35.	94920	37.885629, -122.468580	Belvedere Tiburon, California	13,048	59.13 %	#35
36.	11568	40.786513, -73.598478	Old Westbury, New York	3,992	58.35 %	#36
37.	94123	37.800254, -122.436975	San Francisco, California	22,903	58.33 %	#37
38.	89413	39.087850, -119.927930	Glenbrook, Nevada	365	57.37 %	#38
39.	94115	37.786031, -122.437301	San Francisco, California	33,115	56.45 %	#39
40.	94301	37.444314, -122.149996	Palo Alto, California	16,186	54.25 %	#40
41.	60611	41.893024, -87.618998	Chicago, Illinois	26,522	54.03 %	#41
42.	81611	39.160355, -106.687538	Aspen, Colorado	8,813	53.97 %	#42
43.	33480	26.727504, -80.035737	Palm Beach, Florida	11,200	52.34 %	#43
44.	93108	34.457541, -119.631072	Santa Barbara, California	12,737	51.65 %	#44
45.	95070	37.257772, -122.051824	Saratoga, California	30,577	50.77 %	#45
46.	60037	42.211310, -87.805417	Fort Sheridan, Illinois	901	50.00 %	#46
47.	59035	45.168652, -108.005034	Yellowtail, Montana	326	50.00 %	#47
48.	94024	37.352911, -122.093002	Los Altos, California	21,479	49.50 %	#48
49.	94133	37.802071, -122.411004	San Francisco, California	26,827	48.95 %	#49
50.	10012	40.725639, -73.998090	New York, New York	26,000	48.71 %	#50
51.	06830	41.048958, -73.624338	Greenwich, Connecticut	24,552	47.34 %	#51
52.	60043	42.088741, -87.714204	Kenilworth, Illinois	2,617	46.15 %	#52
53.	90020	34.066367, -118.309868	Los Angeles, California	42,383	45.62 %	#53
54.	12911	44.535049, -73.468852	Keeseville, New York	35	45.00 %	#54
55.	10577	41.041731, -73.709727	Purchase, New York	3,454	44.55 %	#55
56.	90049	34.091829, -118.491244	Los Angeles, California	33,520	44.34 %	#56
57.	94922	38.343282, -122.975500	Bodega, California	571	44.00 %	#57
58.	11024	40.816373, -73.743736	Great Neck, New York	7,564	43.91 %	#58
59.	10022	40.758615, -73.967752	New York, New York	30,642	43.43 %	#59
60.	06831	41.088724, -73.658838	Greenwich, Connecticut	15,167	42.97 %	#60
61.	93920	36.092975, -121.549826	Big Sur, California	996	42.42 %	#61
62.	94010	37.570280, -122.365778	Burlingame, California	40,328	42.12 %	#62
63.	94970	37.921137, -122.657562	Stinson Beach, California	772	41.41 %	#63
64.	33924	26.500000, -82.179588	Captiva, Florida	339	41.12 %	#64
65.	90077	34.102084, -118.451629	Los Angeles, California	10,465	40.59 %	#65
66.	83014	43.474120, -110.916427	Wilson, Wyoming	3,041	40.42 %	#66
67.	11201	40.693682, -73.989693	Brooklyn, New York	47,746	40.07 %	#67
68.	10013	40.720067, -74.004829	New York, New York	25,042	40.00 %	#68
69.	02109	42.362653, -71.053804	Boston, Massachusetts	3,428	40.00 %	#69
70.	98039	47.626035, -122.233707	Medina, Washington	3,050	39.71 %	#70
71.	90272	34.079449, -118.548306	Pacific Palisades, California	22,538	39.21 %	#71
72.	90024	34.066303, -118.435479	Los Angeles, California	44,141	38.93 %	#72
73.	15222	40.449245, -79.990645	Pittsburgh, Pennsylvania	1,999	38.46 %	#73
74.	07976	40.729572, -74.492095	New Vernon, New Jersey	729	38.28 %	#74
75.	92662	33.606336, -117.893042	Newport Beach, California	3,120	38.04 %	#75
76.	90265	34.074572, -118.831181	Malibu, California	19,614	37.59 %	#76
77.	92661	33.601309, -117.902304	Newport Beach, California	4,225	37.56 %	#77
78.	88411	35.193182, -103.198705	Bard, New Mexico	70	37.50 %	#78
79.	02116	42.349991, -71.076080	Boston, Massachusetts	19,682	37.44 %	#79
80.	02118	42.337863, -71.070816	Boston, Massachusetts	22,173	36.86 %	#80
81.	90212	34.062095, -118.401508	Beverly Hills, California	11,347	36.26 %	#81
82.	93953	36.587497, -121.944815	Pebble Beach, California	4,590	36.01 %	#82
83.	93621	36.789213, -119.140338	Dunlap, California	490	36.00 %	#83
84.	81430	38.099341, -108.004883	Placerville, Colorado	93	35.29 %	#84
85.	90010	34.062125, -118.315709	Los Angeles, California	1,943	35.17 %	#85
86.	11765	40.881909, -73.553311	Mill Neck, New York	732	34.69 %	#86
87.	06840	41.161054, -73.501184	New Canaan, Connecticut	19,402	34.10 %	#87
88.	33921	26.754759, -82.256777	Boca Grande, Florida	1,500	33.39 %	#88
89.	85627	32.093898, -110.172475	Pomerene, Arizona	140	33.33 %	#89
90.	59039	46.686216, -107.447771	Ingomar, Montana	121	33.33 %	#90
91.	32403	30.058624, -85.584016	Panama City, Florida	2,757	33.33 %	#91
92.	11962	40.938156, -72.269650	Sagaponack, New York	405	33.33 %	#92
93.	83353	43.645413, -114.026766	Sun Valley, Idaho	988	33.13 %	#93
94.	92625	33.600987, -117.862734	Corona Del Mar, California	13,407	33.05 %	#94
95.	77374	30.368730, -94.631932	Thicket, Texas	393	32.50 %	#95
96.	94904	37.946617, -122.563571	Greenbrae, California	11,999	32.40 %	#96
97.	02672	41.635751, -70.318777	West Hyannisport, Massachusetts	248	32.25 %	#97
98.	06878	41.035027, -73.583577	Riverside, Connecticut	7,724	31.70 %	#98
99.	83011	43.633393, -110.522857	Kelly, Wyoming	242	31.57 %	#99
100.	24464	37.871193, -79.087693	Montebello, Virginia	95	31.57 %	#100

1-100 out of 31,412 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