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

Ohio Report:

Percentage of Population employed in Finance, Insurance & Real Estate

Percentage of Population employed in Finance, Insurance & Real Estate in the United States by Zip Code

Percentage of Population employed in Finance, Insurance & Real Estate in the United States by City

#	Zip Code	Location	City	Population	% In Finance	National Rank
1.	44251	41.030017, -81.931161	Westfield Center, Ohio	378	30.16 %	#44
2.	43240	40.144858, -82.982863	Columbus, Ohio	1,193	22.65 %	#114
3.	44308	41.081706, -81.517566	Akron, Ohio	904	21.59 %	#133
4.	43035	40.189504, -83.002224	Lewis Center, Ohio	11,261	16.28 %	#376
5.	43082	40.154161, -82.888721	Westerville, Ohio	17,786	15.89 %	#412
6.	43054	40.083073, -82.798908	New Albany, Ohio	8,347	14.72 %	#553
7.	44064	41.621372, -81.030134	Montville, Ohio	1,659	14.57 %	#579
8.	45111	39.197631, -84.287676	Camp Dennison, Ohio	430	14.52 %	#591
9.	43081	40.110517, -82.895451	Westerville, Ohio	51,061	14.50 %	#597
10.	43004	40.013811, -82.801527	Blacklick, Ohio	8,664	14.05 %	#680
11.	43231	40.079333, -82.934777	Columbus, Ohio	16,815	13.50 %	#783
12.	43230	40.037866, -82.870666	Columbus, Ohio	49,067	13.50 %	#784
13.	45174	39.159095, -84.310587	Terrace Park, Ohio	2,289	13.37 %	#811
14.	43077	40.138974, -83.351151	Unionville Center, Ohio	279	13.33 %	#823
15.	45809	40.840942, -84.180016	Gomer, Ohio	208	13.11 %	#876
16.	43229	40.085870, -82.978198	Columbus, Ohio	45,813	12.90 %	#924
17.	44671	40.645181, -81.365757	Sandyville, Ohio	383	12.82 %	#946
18.	43017	40.118089, -83.131781	Dublin, Ohio	34,324	12.80 %	#952
19.	43016	40.089830, -83.156681	Dublin, Ohio	18,908	12.76 %	#964
20.	44503	41.098889, -80.648012	Youngstown, Ohio	998	12.72 %	#976
21.	43235	40.121239, -83.028921	Columbus, Ohio	37,732	12.51 %	#1,045
22.	45243	39.188557, -84.336021	Cincinnati, Ohio	15,969	12.36 %	#1,098
23.	44124	41.502784, -81.464931	Cleveland, Ohio	40,334	12.34 %	#1,106
24.	43221	40.021824, -83.076943	Columbus, Ohio	29,609	12.29 %	#1,128
25.	43085	40.100924, -83.013402	Columbus, Ohio	23,520	12.17 %	#1,175
26.	43116	39.773708, -83.052389	Commercial Point, Ohio	349	12.03 %	#1,228
27.	43033	39.959445, -82.595182	Kirkersville, Ohio	289	11.92 %	#1,287
28.	43065	40.174779, -83.088675	Powell, Ohio	24,414	11.88 %	#1,306
29.	44040	41.530962, -81.411154	Gates Mills, Ohio	2,883	11.75 %	#1,371
30.	44145	41.449529, -81.930160	Westlake, Ohio	31,972	11.74 %	#1,373
31.	43021	40.205629, -82.875199	Galena, Ohio	5,474	11.71 %	#1,388
32.	44116	41.469607, -81.851270	Rocky River, Ohio	21,122	11.70 %	#1,395
33.	44141	41.299666, -81.616544	Brecksville, Ohio	13,676	11.64 %	#1,426
34.	43511	41.262555, -83.829145	Custar, Ohio	933	11.51 %	#1,486
35.	43220	40.049153, -83.074244	Columbus, Ohio	24,114	11.34 %	#1,582
36.	43147	39.899117, -82.727372	Pickerington, Ohio	28,137	11.07 %	#1,750
37.	45202	39.106152, -84.499539	Cincinnati, Ohio	6,083	11.06 %	#1,759
38.	44139	41.383262, -81.444249	Solon, Ohio	22,231	11.03 %	#1,776
39.	43232	39.921124, -82.870182	Columbus, Ohio	39,981	10.90 %	#1,851
40.	45899	40.800460, -84.773851	Wren, Ohio	199	10.89 %	#1,857
41.	43110	39.830007, -82.809291	Canal Winchester, Ohio	18,300	10.84 %	#1,889
42.	44147	41.318155, -81.679264	Broadview Heights, Ohio	15,954	10.64 %	#2,045
43.	44122	41.469494, -81.512442	Beachwood, Ohio	34,883	10.64 %	#2,047
44.	44273	41.029633, -81.870769	Seville, Ohio	7,013	10.56 %	#2,103
45.	43002	40.062221, -83.187985	Amlin, Ohio	1,304	10.50 %	#2,146
46.	45208	39.136323, -84.433061	Cincinnati, Ohio	17,286	10.49 %	#2,151
47.	44132	41.606292, -81.497314	Euclid, Ohio	15,322	10.49 %	#2,155
48.	44022	41.448354, -81.395718	Chagrin Falls, Ohio	17,720	10.41 %	#2,202
49.	43026	40.018244, -83.182280	Hilliard, Ohio	47,457	10.35 %	#2,249
50.	44126	41.440555, -81.856445	Cleveland, Ohio	17,196	10.09 %	#2,437
51.	45230	39.075734, -84.390168	Cincinnati, Ohio	28,231	10.08 %	#2,441
52.	43068	39.956775, -82.782561	Reynoldsburg, Ohio	45,857	10.07 %	#2,453
53.	44117	41.570921, -81.523653	Euclid, Ohio	12,078	10.00 %	#2,511
54.	44659	40.694539, -81.701554	Mount Eaton, Ohio	65	10.00 %	#2,512
55.	43213	39.968780, -82.872777	Columbus, Ohio	30,723	10.00 %	#2,513
56.	44143	41.556487, -81.466476	Cleveland, Ohio	23,730	9.97 %	#2,542
57.	43224	40.042660, -82.964856	Columbus, Ohio	40,983	9.89 %	#2,618
58.	44107	41.481906, -81.801761	Lakewood, Ohio	56,710	9.81 %	#2,676
59.	43214	40.051734, -83.016269	Columbus, Ohio	25,561	9.79 %	#2,704
60.	45039	39.318581, -84.234678	Maineville, Ohio	15,014	9.75 %	#2,736
61.	44140	41.485247, -81.931392	Bay Village, Ohio	16,076	9.74 %	#2,752
62.	43046	39.896382, -82.541954	Millersport, Ohio	3,358	9.74 %	#2,753
63.	44118	41.502337, -81.556571	Cleveland, Ohio	45,279	9.73 %	#2,764
64.	44856	40.793086, -82.856728	North Robinson, Ohio	155	9.72 %	#2,780
65.	45218	39.263764, -84.518217	Cincinnati, Ohio	4,338	9.71 %	#2,783
66.	45206	39.127336, -84.484705	Cincinnati, Ohio	12,443	9.68 %	#2,806
67.	45014	39.329702, -84.549019	Fairfield, Ohio	43,348	9.68 %	#2,807
68.	44130	41.376642, -81.787317	Cleveland, Ohio	53,615	9.68 %	#2,812
69.	44610	40.559562, -81.797825	Berlin, Ohio	180	9.67 %	#2,822
70.	45249	39.283813, -84.327798	Cincinnati, Ohio	13,658	9.55 %	#2,956
71.	43209	39.955975, -82.930497	Columbus, Ohio	29,277	9.54 %	#2,962
72.	43972	40.102594, -80.973089	Bannock, Ohio	101	9.52 %	#2,986
73.	45459	39.644746, -84.169350	Dayton, Ohio	27,834	9.52 %	#2,989
74.	44236	41.247140, -81.455432	Hudson, Ohio	24,216	9.50 %	#3,015
75.	44092	41.597994, -81.466799	Wickliffe, Ohio	17,749	9.45 %	#3,062
76.	43219	40.007421, -82.920429	Columbus, Ohio	20,502	9.40 %	#3,112
77.	45255	39.059554, -84.328333	Cincinnati, Ohio	23,031	9.40 %	#3,115
78.	45779	38.998744, -81.967111	Syracuse, Ohio	761	9.37 %	#3,152
79.	43939	40.176581, -80.800503	Mount Pleasant, Ohio	418	9.34 %	#3,182
80.	44136	41.312783, -81.831903	Strongsville, Ohio	43,858	9.25 %	#3,302
81.	43062	40.006609, -82.678030	Pataskala, Ohio	19,468	9.20 %	#3,337
82.	43913	40.274781, -80.658478	Brilliant, Ohio	1,728	9.11 %	#3,424
83.	44119	41.587617, -81.546550	Cleveland, Ohio	13,493	9.08 %	#3,473
84.	43212	39.987145, -83.042824	Columbus, Ohio	17,835	9.08 %	#3,474
85.	44718	40.847623, -81.451327	Canton, Ohio	12,287	9.04 %	#3,507
86.	45053	39.352993, -84.787920	Okeana, Ohio	3,047	9.02 %	#3,530
87.	44070	41.414989, -81.918877	North Olmsted, Ohio	34,081	9.01 %	#3,543
88.	45238	39.107658, -84.610282	Cincinnati, Ohio	47,231	8.98 %	#3,591
89.	44233	41.249084, -81.737866	Hinckley, Ohio	6,777	8.97 %	#3,601
90.	43123	39.869477, -83.114291	Grove City, Ohio	45,861	8.96 %	#3,618
91.	44138	41.373542, -81.924333	Olmsted Falls, Ohio	18,046	8.95 %	#3,635
92.	43031	40.154611, -82.667554	Johnstown, Ohio	10,170	8.93 %	#3,651
93.	43227	39.944059, -82.890437	Columbus, Ohio	23,131	8.93 %	#3,652
94.	44046	41.542545, -81.068714	Huntsburg, Ohio	2,023	8.85 %	#3,765
95.	45244	39.114229, -84.326434	Cincinnati, Ohio	26,446	8.84 %	#3,787
96.	45040	39.350783, -84.313198	Mason, Ohio	34,114	8.83 %	#3,790
97.	45248	39.165845, -84.658288	Cincinnati, Ohio	22,315	8.83 %	#3,795
98.	45050	39.447262, -84.367028	Monroe, Ohio	5,258	8.81 %	#3,820
99.	45236	39.209708, -84.399035	Cincinnati, Ohio	25,568	8.80 %	#3,834
100.	43215	39.966856, -83.012960	Columbus, Ohio	10,178	8.79 %	#3,850

1-100 out of 1,153 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