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

Pennsylvania 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.	19435	40.327484, -75.569174	Frederick, Pennsylvania	73	31.25 %	#43
2.	15064	40.351785, -80.147781	Morgan, Pennsylvania	340	27.46 %	#59
3.	19478	40.276527, -75.458996	Spring Mount, Pennsylvania	270	24.17 %	#91
4.	19436	40.201504, -75.246987	Gwynedd, Pennsylvania	497	22.07 %	#126
5.	19333	40.041872, -75.423597	Devon, Pennsylvania	7,408	20.77 %	#150
6.	15053	40.380435, -80.360677	Joffre, Pennsylvania	64	19.56 %	#188
7.	17069	40.454216, -76.970517	New Buffalo, Pennsylvania	123	19.23 %	#198
8.	16422	41.661442, -80.316690	Harmonsburg, Pennsylvania	50	19.04 %	#207
9.	17093	40.310310, -76.929710	Summerdale, Pennsylvania	444	16.45 %	#358
10.	19554	40.514704, -76.107817	Shartlesville, Pennsylvania	260	16.39 %	#365
11.	19372	39.997637, -75.758631	Thorndale, Pennsylvania	1,298	16.33 %	#372
12.	19087	40.062099, -75.400394	Wayne, Pennsylvania	30,892	16.02 %	#401
13.	19301	40.042394, -75.480119	Paoli, Pennsylvania	6,804	15.55 %	#442
14.	15450	40.010574, -79.979229	La Belle, Pennsylvania	333	15.20 %	#481
15.	15476	39.869459, -79.920371	Ronco, Pennsylvania	321	15.11 %	#493
16.	15784	41.024459, -79.141088	Worthville, Pennsylvania	85	14.89 %	#524
17.	18457	41.471966, -75.049326	Rowland, Pennsylvania	82	14.70 %	#556
18.	15928	40.241294, -78.923112	Davidsville, Pennsylvania	1,786	14.36 %	#623
19.	19035	40.049199, -75.281760	Gladwyne, Pennsylvania	4,050	14.30 %	#638
20.	17729	41.527076, -77.762951	Cross Fork, Pennsylvania	129	14.28 %	#643
21.	19312	40.032159, -75.451354	Berwyn, Pennsylvania	10,911	14.25 %	#653
22.	19044	40.188283, -75.152871	Horsham, Pennsylvania	16,705	14.16 %	#665
23.	19425	40.098282, -75.633239	Chester Springs, Pennsylvania	7,520	14.07 %	#674
24.	18977	40.287044, -74.879589	Washington Crossing, Pennsylvania	3,676	14.06 %	#677
25.	19317	39.857514, -75.605224	Chadds Ford, Pennsylvania	8,954	13.99 %	#692
26.	17053	40.325040, -77.026474	Marysville, Pennsylvania	4,745	13.18 %	#855
27.	19355	40.045496, -75.527899	Malvern, Pennsylvania	22,605	13.09 %	#880
28.	19073	39.979412, -75.435416	Newtown Square, Pennsylvania	16,203	12.99 %	#904
29.	19085	40.038117, -75.350258	Villanova, Pennsylvania	9,189	12.99 %	#905
30.	15444	40.012145, -79.908474	Hiller, Pennsylvania	555	12.98 %	#906
31.	19444	40.085639, -75.255440	Lafayette Hill, Pennsylvania	10,145	12.89 %	#927
32.	19422	40.156653, -75.275477	Blue Bell, Pennsylvania	18,246	12.75 %	#968
33.	15228	40.371065, -80.043363	Pittsburgh, Pennsylvania	17,723	12.73 %	#973
34.	15220	40.418327, -80.050036	Pittsburgh, Pennsylvania	19,693	12.58 %	#1,026
35.	18430	41.763887, -75.503006	Herrick Center, Pennsylvania	62	12.50 %	#1,048
36.	19406	40.094175, -75.384860	King Of Prussia, Pennsylvania	21,893	12.50 %	#1,049
37.	17011	40.234376, -76.930321	Camp Hill, Pennsylvania	34,142	12.40 %	#1,089
38.	15038	40.251706, -79.925085	Elrama, Pennsylvania	291	12.40 %	#1,091
39.	17865	40.985399, -76.791186	Potts Grove, Pennsylvania	113	12.32 %	#1,117
40.	17101	40.261061, -76.881985	Harrisburg, Pennsylvania	1,999	12.31 %	#1,119
41.	19010	40.023762, -75.330442	Bryn Mawr, Pennsylvania	21,485	12.27 %	#1,137
42.	18820	41.809709, -75.648279	Gibson, Pennsylvania	94	12.24 %	#1,148
43.	15620	40.322956, -79.341876	Bradenville, Pennsylvania	617	12.18 %	#1,170
44.	17407	39.882804, -76.712937	York, Pennsylvania	1,669	12.18 %	#1,173
45.	19350	39.760017, -75.796677	Landenberg, Pennsylvania	9,829	12.16 %	#1,180
46.	15241	40.332859, -80.081851	Pittsburgh, Pennsylvania	20,616	12.09 %	#1,201
47.	19041	40.004484, -75.320002	Haverford, Pennsylvania	6,652	12.03 %	#1,226
48.	15102	40.321530, -80.036615	Bethel Park, Pennsylvania	30,825	11.96 %	#1,265
49.	17025	40.301492, -76.991496	Enola, Pennsylvania	14,026	11.86 %	#1,314
50.	18469	41.703684, -75.130492	Tyler Hill, Pennsylvania	309	11.85 %	#1,324
51.	19341	40.039941, -75.640626	Exton, Pennsylvania	14,341	11.80 %	#1,349
52.	19090	40.148537, -75.122250	Willow Grove, Pennsylvania	19,398	11.76 %	#1,358
53.	15532	39.768356, -79.062171	Boynton, Pennsylvania	56	11.76 %	#1,360
54.	19096	39.997758, -75.274112	Wynnewood, Pennsylvania	13,299	11.70 %	#1,393
55.	15090	40.625887, -80.067535	Wexford, Pennsylvania	18,252	11.53 %	#1,477
56.	15712	40.793352, -78.846767	Arcadia, Pennsylvania	104	11.53 %	#1,478
57.	18610	41.069264, -75.549243	Blakeslee, Pennsylvania	3,437	11.34 %	#1,581
58.	19380	39.989503, -75.604383	West Chester, Pennsylvania	46,948	11.33 %	#1,590
59.	17041	40.225019, -76.526678	Lawn, Pennsylvania	252	11.30 %	#1,608
60.	19454	40.223394, -75.243120	North Wales, Pennsylvania	24,387	11.27 %	#1,617
61.	19426	40.191299, -75.437052	Collegeville, Pennsylvania	30,866	11.23 %	#1,648
62.	19403	40.146258, -75.383786	Norristown, Pennsylvania	41,595	11.23 %	#1,649
63.	19437	40.184224, -75.261350	Gwynedd Valley, Pennsylvania	714	11.22 %	#1,654
64.	19106	39.950472, -75.147231	Philadelphia, Pennsylvania	8,359	11.19 %	#1,677
65.	19468	40.206450, -75.531266	Royersford, Pennsylvania	21,427	11.18 %	#1,678
66.	18954	40.225413, -74.992957	Richboro, Pennsylvania	10,349	11.18 %	#1,680
67.	19102	39.953423, -75.165384	Philadelphia, Pennsylvania	4,396	11.14 %	#1,709
68.	18915	40.272577, -75.256788	Colmar, Pennsylvania	873	11.11 %	#1,722
69.	16246	40.792147, -79.180243	Plumville, Pennsylvania	326	11.11 %	#1,723
70.	19150	40.072482, -75.171735	Philadelphia, Pennsylvania	25,274	11.06 %	#1,755
71.	19127	40.027929, -75.224083	Philadelphia, Pennsylvania	5,465	10.96 %	#1,816
72.	15233	40.459618, -80.032164	Pittsburgh, Pennsylvania	4,876	10.96 %	#1,817
73.	17103	40.275426, -76.866368	Harrisburg, Pennsylvania	11,768	10.93 %	#1,829
74.	19460	40.127327, -75.534454	Phoenixville, Pennsylvania	32,944	10.86 %	#1,871
75.	15236	40.341330, -79.979290	Pittsburgh, Pennsylvania	30,630	10.86 %	#1,872
76.	15237	40.549177, -80.047857	Pittsburgh, Pennsylvania	42,597	10.85 %	#1,882
77.	16855	40.997587, -78.372961	Mineral Springs, Pennsylvania	313	10.82 %	#1,898
78.	17112	40.367549, -76.787788	Harrisburg, Pennsylvania	30,337	10.82 %	#1,899
79.	19004	40.009753, -75.231508	Bala Cynwyd, Pennsylvania	9,299	10.82 %	#1,901
80.	18940	40.264207, -74.950926	Newtown, Pennsylvania	27,121	10.82 %	#1,902
81.	19038	40.102228, -75.169694	Glenside, Pennsylvania	32,019	10.81 %	#1,912
82.	19034	40.134649, -75.205508	Fort Washington, Pennsylvania	6,019	10.80 %	#1,923
83.	19095	40.085937, -75.151622	Wyncote, Pennsylvania	6,499	10.78 %	#1,937
84.	19075	40.113880, -75.185031	Oreland, Pennsylvania	7,243	10.73 %	#1,974
85.	19118	40.072443, -75.212415	Philadelphia, Pennsylvania	9,608	10.73 %	#1,976
86.	19367	39.962459, -75.883923	Pomeroy, Pennsylvania	173	10.71 %	#1,989
87.	19002	40.186587, -75.206777	Ambler, Pennsylvania	30,031	10.68 %	#2,012
88.	15015	40.636494, -80.081313	Bradfordwoods, Pennsylvania	1,174	10.63 %	#2,049
89.	18966	40.184740, -74.998432	Southampton, Pennsylvania	39,779	10.60 %	#2,063
90.	19067	40.200517, -74.814682	Morrisville, Pennsylvania	53,212	10.59 %	#2,073
91.	18970	40.411872, -75.383606	Trumbauersville, Pennsylvania	173	10.58 %	#2,083
92.	15106	40.409784, -80.113822	Carnegie, Pennsylvania	19,074	10.56 %	#2,101
93.	17401	39.962127, -76.729531	York, Pennsylvania	965	10.48 %	#2,156
94.	19078	39.874378, -75.322125	Ridley Park, Pennsylvania	11,278	10.47 %	#2,169
95.	19473	40.256574, -75.481495	Schwenksville, Pennsylvania	12,899	10.33 %	#2,268
96.	15101	40.580328, -79.955241	Allison Park, Pennsylvania	24,323	10.30 %	#2,287
97.	18653	41.400080, -75.824732	Ransom, Pennsylvania	125	10.29 %	#2,295
98.	19025	40.144657, -75.162776	Dresher, Pennsylvania	5,610	10.29 %	#2,298
99.	15713	40.567932, -79.262971	Aultman, Pennsylvania	337	10.24 %	#2,325
100.	15216	40.402538, -80.034133	Pittsburgh, Pennsylvania	24,691	10.14 %	#2,391

1-100 out of 1,714 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