Zip Codes with the Highest Percentage of Population employed in Finance, Insurance & Real Estate in the United States

United States Report:

Percentage of Population employed in Finance, Insurance & Real Estate

#	Zip Code	Location	City	Population	% In Finance	National Rank
1.	02358	41.805376, -70.627840	North Pembroke, Massachusetts	4	100.00 %	#1
2.	89028	35.038911, -114.653802	Laughlin, Nevada	19	100.00 %	#2
3.	78074	29.949425, -98.785953	Waring, Texas	59	100.00 %	#3
4.	70521	30.336473, -91.849187	Cecilia, Louisiana	37	100.00 %	#4
5.	26162	39.579169, -80.766861	Porters Falls, West Virginia	113	66.66 %	#5
6.	95480	38.660315, -123.399666	Stewarts Point, California	27	60.00 %	#6
7.	85619	32.441689, -110.756495	Mount Lemmon, Arizona	73	55.00 %	#7
8.	29062	34.008449, -80.559483	Horatio, South Carolina	93	53.33 %	#8
9.	65728	36.873246, -93.344369	Ponce De Leon, Missouri	109	52.94 %	#9
10.	19731	39.514198, -75.575671	Port Penn, Delaware	104	51.51 %	#10
11.	38021	35.877711, -89.172962	Crockett Mills, Tennessee	88	50.00 %	#11
12.	22579	37.808477, -76.312087	Wicomico Church, Virginia	25	50.00 %	#12
13.	54841	45.616237, -91.777697	Haugen, Wisconsin	25	50.00 %	#13
14.	49335	42.745386, -85.668963	Moline, Michigan	219	47.50 %	#14
15.	72387	35.325706, -90.771557	Vanndale, Arkansas	41	47.05 %	#15
16.	59928	48.809070, -114.069666	Polebridge, Montana	90	45.00 %	#16
17.	10597	41.292024, -73.606222	Waccabuc, New York	445	43.88 %	#17
18.	33109	25.761877, -80.140858	Miami Beach, Florida	467	42.44 %	#18
19.	35457	33.304145, -87.773144	Echola, Alabama	79	41.66 %	#19
20.	55402	44.975968, -93.271425	Minneapolis, Minnesota	176	40.00 %	#20
21.	10005	40.705390, -74.008988	New York, New York	884	39.62 %	#21
22.	46921	40.902348, -86.105144	Deedsville, Indiana	95	39.39 %	#22
23.	12416	42.102658, -74.282783	Chichester, New York	87	38.23 %	#23
24.	05678	44.158880, -72.469740	Websterville, Vermont	110	37.50 %	#24
25.	21056	39.078949, -76.436407	Gibson Island, Maryland	310	36.92 %	#25
26.	07310	40.731082, -74.038712	Jersey City, New Jersey	6,416	35.45 %	#26
27.	98364	47.855439, -122.595728	Port Gamble, Washington	102	34.48 %	#27
28.	10280	40.708501, -74.016828	New York, New York	6,614	34.10 %	#28
29.	82051	41.624083, -105.609208	Bosler, Wyoming	87	33.33 %	#29
30.	79776	31.682729, -102.625332	Penwell, Texas	41	33.33 %	#30
31.	12727	41.660107, -74.982500	Cochecton Center, New York	23	33.33 %	#31
32.	54760	44.424580, -91.208384	Pigeon Falls, Wisconsin	30	33.33 %	#32
33.	33945	26.582563, -82.213061	Pineland, Florida	79	33.33 %	#33
34.	70464	30.519560, -89.894870	Talisheek, Louisiana	201	33.33 %	#34
35.	61704	40.413575, -88.897098	Bloomington, Illinois	35,851	32.98 %	#35
36.	22646	39.072518, -78.050929	Millwood, Virginia	106	32.65 %	#36
37.	12742	41.724328, -74.723518	Harris, New York	132	32.25 %	#38
38.	61331	41.745142, -89.276970	Lee Center, Illinois	51	32.00 %	#39
39.	60557	41.438362, -88.769875	Wedron, Illinois	101	31.74 %	#40
40.	10282	40.717017, -74.015566	New York, New York	1,574	31.52 %	#41
41.	46216	39.859999, -86.009334	Indianapolis, Indiana	261	31.41 %	#42
42.	19435	40.327484, -75.569174	Frederick, Pennsylvania	73	31.25 %	#43
43.	44251	41.030017, -81.931161	Westfield Center, Ohio	378	30.16 %	#44
44.	99697	57.531643, -153.442060	Kodiak, Alaska	31	30.00 %	#45
45.	02110	42.357371, -71.053180	Boston, Massachusetts	1,428	29.81 %	#46
46.	10069	40.775551, -73.989689	New York, New York	1,403	29.73 %	#47
47.	88350	32.640859, -105.657997	Timberon, New Mexico	315	29.68 %	#48
48.	72525	36.310255, -91.595321	Cherokee Village, Arkansas	202	29.68 %	#49
49.	22723	38.334605, -78.380361	Hood, Virginia	79	29.68 %	#50
50.	36564	30.470380, -87.919193	Point Clear, Alabama	107	29.62 %	#51
51.	87070	35.022728, -105.958633	Clines Corners, New Mexico	161	28.57 %	#52
52.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	28.57 %	#53
53.	26298	38.465358, -80.284916	Bergoo, West Virginia	88	28.20 %	#54
54.	83220	42.326001, -111.378669	Bern, Idaho	150	28.12 %	#55
55.	60606	41.881988, -87.637329	Chicago, Illinois	1,682	28.06 %	#56
56.	27827	35.703864, -77.503994	Falkland, North Carolina	70	28.00 %	#57
57.	98559	46.958822, -123.327364	Malone, Washington	88	27.77 %	#58
58.	15064	40.351785, -80.147781	Morgan, Pennsylvania	340	27.46 %	#59
59.	62266	38.477657, -89.680267	New Memphis, Illinois	109	27.41 %	#60
60.	51244	43.242534, -95.934580	Matlock, Iowa	45	27.27 %	#61
61.	34661	28.629596, -82.251097	Nobleton, Florida	152	27.27 %	#62
62.	06820	41.081845, -73.483440	Darien, Connecticut	19,607	27.24 %	#63
63.	41739	37.353127, -83.108069	Dwarf, Kentucky	155	27.08 %	#64
64.	06090	41.944962, -72.867608	West Granby, Connecticut	717	27.06 %	#65
65.	33480	26.727504, -80.035737	Palm Beach, Florida	11,200	26.96 %	#66
66.	88263	32.116597, -104.010899	Malaga, New Mexico	132	26.47 %	#67
67.	35119	33.646730, -86.770703	New Castle, Alabama	63	26.47 %	#68
68.	61720	40.546217, -88.505571	Anchor, Illinois	366	26.42 %	#69
69.	10580	40.978942, -73.693320	Rye, New York	16,737	26.38 %	#70
70.	06840	41.161054, -73.501184	New Canaan, Connecticut	19,402	26.21 %	#71
71.	83277	43.078349, -112.676867	Springfield, Idaho	149	26.19 %	#72
72.	61730	40.530783, -88.736478	Cooksville, Illinois	381	26.10 %	#73
73.	89413	39.087850, -119.927930	Glenbrook, Nevada	365	26.08 %	#74
74.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	26.08 %	#75
75.	07078	40.741036, -74.330477	Short Hills, New Jersey	12,849	25.82 %	#76
76.	23691	37.250570, -76.584352	Yorktown, Virginia	158	25.80 %	#77
77.	63370	39.080576, -91.223333	Olney, Missouri	41	25.71 %	#78
78.	60043	42.088741, -87.714204	Kenilworth, Illinois	2,617	25.68 %	#79
79.	33921	26.754759, -82.256777	Boca Grande, Florida	1,500	25.57 %	#80
80.	10017	40.752292, -73.972393	New York, New York	16,201	25.28 %	#81
81.	10004	40.691870, -74.014109	New York, New York	1,225	25.08 %	#82
82.	54565	46.333700, -90.463793	Upson, Wisconsin	50	25.00 %	#83
83.	79093	36.268587, -101.045692	Waka, Texas	76	25.00 %	#84
84.	07842	40.942121, -74.512172	Hibernia, New Jersey	93	25.00 %	#85
85.	93669	37.287758, -119.548156	Wishon, California	310	24.65 %	#86
86.	89011	36.125694, -114.928153	Henderson, Nevada	175	24.63 %	#87
87.	06870	41.032123, -73.569791	Old Greenwich, Connecticut	7,092	24.62 %	#88
88.	28207	35.194148, -80.824585	Charlotte, North Carolina	8,691	24.54 %	#89
89.	50323	41.628020, -93.802882	Urbandale, Iowa	957	24.38 %	#90
90.	19478	40.276527, -75.458996	Spring Mount, Pennsylvania	270	24.17 %	#91
91.	13335	42.705575, -75.247960	Edmeston, New York	1,557	24.17 %	#92
92.	82717	44.445300, -105.403644	Gillette, Wyoming	78	24.13 %	#93
93.	50266	41.567932, -93.794752	West Des Moines, Iowa	16,738	23.99 %	#94
94.	06878	41.035027, -73.583577	Riverside, Connecticut	7,724	23.95 %	#95
95.	10007	40.713973, -74.008336	New York, New York	3,522	23.91 %	#96
96.	23064	37.504384, -76.298242	Grimstead, Virginia	187	23.80 %	#97
97.	76885	30.858957, -98.861313	Valley Spring, Texas	41	23.80 %	#98
98.	10162	40.769298, -73.949942	New York, New York	1,726	23.72 %	#99
99.	75225	32.864887, -96.790359	Dallas, Texas	20,314	23.69 %	#100
100.	07030	40.745122, -74.032085	Hoboken, New Jersey	38,577	23.61 %	#101

1-100 out of 31,697 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