Zip Codes with the Highest Percentage of Females in Labor Force in Pennsylvania

Pennsylvania Report:

Percentage of Females in Labor Force

Percentage of Females in Labor Force in the United States by Zip Code

Percentage of Females in Labor Force in the United States by City

#	Zip Code	Location	City	Population	% In Labor Force (f)	National Rank
1.	15429	40.007564, -79.933257	Denbo, Pennsylvania	137	100.00 %	#4
2.	19345	40.029459, -75.565301	Immaculata, Pennsylvania	581	95.50 %	#42
3.	15053	40.380435, -80.360677	Joffre, Pennsylvania	64	82.69 %	#51
4.	16155	41.068219, -80.510814	Villa Maria, Pennsylvania	124	79.77 %	#62
5.	19319	39.928651, -75.525364	Cheyney, Pennsylvania	774	72.72 %	#93
6.	19435	40.327484, -75.569174	Frederick, Pennsylvania	73	68.75 %	#121
7.	16856	40.930134, -77.646315	Mingoville, Pennsylvania	58	68.57 %	#125
8.	15484	39.895523, -79.793894	Uledi, Pennsylvania	90	68.29 %	#129
9.	15413	39.988881, -79.860078	Allison, Pennsylvania	420	66.09 %	#155
10.	15064	40.351785, -80.147781	Morgan, Pennsylvania	340	63.38 %	#211
11.	15929	40.474490, -78.998433	Dilltown, Pennsylvania	71	63.33 %	#212
12.	17508	40.125116, -76.218381	Brownstown, Pennsylvania	192	62.33 %	#240
13.	15647	40.341754, -79.721253	Larimer, Pennsylvania	99	61.84 %	#252
14.	15761	40.617187, -78.905099	Mentcle, Pennsylvania	155	61.53 %	#264
15.	17081	40.204008, -77.288889	Plainfield, Pennsylvania	158	60.25 %	#296
16.	17730	41.108821, -76.878156	Dewart, Pennsylvania	278	60.24 %	#298
17.	15678	40.288353, -79.728640	Rillton, Pennsylvania	322	60.00 %	#310
18.	16843	41.002072, -78.463804	Hyde, Pennsylvania	468	59.53 %	#335
19.	17270	39.852539, -77.798372	Williamson, Pennsylvania	100	59.45 %	#337
20.	18081	40.556408, -75.288402	Springtown, Pennsylvania	173	58.82 %	#374
21.	19472	40.339020, -75.567495	Sassamansville, Pennsylvania	220	58.77 %	#375
22.	17016	40.273914, -76.407758	Cornwall, Pennsylvania	582	58.42 %	#396
23.	17945	40.785086, -76.376846	Locustdale, Pennsylvania	150	58.20 %	#415
24.	15754	40.559015, -79.151094	Lucernemines, Pennsylvania	511	57.93 %	#438
25.	19139	39.961529, -75.230259	Philadelphia, Pennsylvania	43,866	57.81 %	#447
26.	19138	40.056028, -75.159179	Philadelphia, Pennsylvania	34,477	57.80 %	#449
27.	15219	40.443268, -79.979819	Pittsburgh, Pennsylvania	19,204	57.40 %	#476
28.	19436	40.201504, -75.246987	Gwynedd, Pennsylvania	497	57.14 %	#493
29.	15031	40.368384, -80.177081	Cuddy, Pennsylvania	576	57.09 %	#513
30.	19523	40.203761, -75.837424	Geigertown, Pennsylvania	117	56.92 %	#523
31.	15448	40.135897, -79.732986	Jacobs Creek, Pennsylvania	276	56.89 %	#525
32.	19131	39.986772, -75.219521	Philadelphia, Pennsylvania	47,044	56.82 %	#536
33.	16501	42.122166, -80.086541	Erie, Pennsylvania	2,943	56.74 %	#549
34.	19132	39.996457, -75.170586	Philadelphia, Pennsylvania	41,709	56.74 %	#550
35.	16837	40.945440, -78.474451	Glen Richey, Pennsylvania	188	56.70 %	#553
36.	17041	40.225019, -76.526678	Lawn, Pennsylvania	252	56.52 %	#572
37.	17029	40.555708, -77.624669	Granville, Pennsylvania	149	56.45 %	#584
38.	15689	40.223583, -79.492152	United, Pennsylvania	252	56.29 %	#604
39.	19150	40.072482, -75.171735	Philadelphia, Pennsylvania	25,274	56.28 %	#605
40.	19121	39.981980, -75.179120	Philadelphia, Pennsylvania	34,935	56.25 %	#611
41.	16725	41.899312, -78.661955	Custer City, Pennsylvania	288	56.17 %	#620
42.	15733	40.988862, -78.959295	De Lancey, Pennsylvania	146	56.00 %	#642
43.	18653	41.400080, -75.824732	Ransom, Pennsylvania	125	55.88 %	#657
44.	19119	40.052013, -75.192553	Philadelphia, Pennsylvania	28,873	55.79 %	#666
45.	19144	40.031929, -75.176099	Philadelphia, Pennsylvania	46,794	55.70 %	#679
46.	17861	40.774286, -77.077739	Paxtonville, Pennsylvania	189	55.65 %	#683
47.	15208	40.451838, -79.900079	Pittsburgh, Pennsylvania	13,352	55.60 %	#691
48.	18430	41.763887, -75.503006	Herrick Center, Pennsylvania	62	55.55 %	#697
49.	18469	41.703684, -75.130492	Tyler Hill, Pennsylvania	309	55.55 %	#698
50.	15434	40.081285, -79.881397	Elco, Pennsylvania	362	55.42 %	#728
51.	18813	41.751887, -75.800608	Brooklyn, Pennsylvania	141	55.38 %	#731
52.	19151	39.979740, -75.256726	Philadelphia, Pennsylvania	31,255	55.24 %	#752
53.	16860	40.943192, -78.173621	Munson, Pennsylvania	342	55.19 %	#764
54.	15560	40.017096, -78.906871	Shanksville, Pennsylvania	245	55.14 %	#775
55.	16624	40.578334, -78.609690	Chest Springs, Pennsylvania	110	55.00 %	#804
56.	19118	40.072443, -75.212415	Philadelphia, Pennsylvania	9,608	54.94 %	#819
57.	15350	40.293767, -80.200601	Muse, Pennsylvania	670	54.77 %	#855
58.	19143	39.942892, -75.225460	Philadelphia, Pennsylvania	71,169	54.71 %	#866
59.	19013	39.848198, -75.378094	Chester, Pennsylvania	38,762	54.69 %	#870
60.	19141	40.037904, -75.145392	Philadelphia, Pennsylvania	34,984	54.61 %	#889
61.	15866	41.029505, -78.787637	Troutville, Pennsylvania	224	54.16 %	#988
62.	15695	40.196077, -79.690690	Wyano, Pennsylvania	332	54.05 %	#1,013
63.	16238	40.788100, -79.520182	Manorville, Pennsylvania	401	53.99 %	#1,029
64.	19122	39.977688, -75.145885	Philadelphia, Pennsylvania	19,589	53.99 %	#1,030
65.	15222	40.449245, -79.990645	Pittsburgh, Pennsylvania	1,999	53.98 %	#1,032
66.	15110	40.373400, -79.851076	Duquesne, Pennsylvania	7,332	53.91 %	#1,049
67.	16214	41.212460, -79.348515	Clarion, Pennsylvania	10,449	53.88 %	#1,056
68.	18225	40.980582, -75.972170	Harleigh, Pennsylvania	94	53.84 %	#1,061
69.	15476	39.869459, -79.920371	Ronco, Pennsylvania	321	53.76 %	#1,089
70.	17840	40.770568, -76.443879	Locust Gap, Pennsylvania	388	53.75 %	#1,097
71.	15072	40.139109, -79.856499	Pricedale, Pennsylvania	111	53.70 %	#1,110
72.	19153	39.894414, -75.232375	Philadelphia, Pennsylvania	12,324	53.57 %	#1,156
73.	15233	40.459618, -80.032164	Pittsburgh, Pennsylvania	4,876	53.56 %	#1,162
74.	15142	40.385940, -80.117149	Presto, Pennsylvania	713	53.46 %	#1,191
75.	15783	40.596777, -79.346664	West Lebanon, Pennsylvania	106	53.44 %	#1,196
76.	17027	40.154385, -77.002866	Grantham, Pennsylvania	187	53.39 %	#1,213
77.	15472	39.919038, -79.716914	Oliver, Pennsylvania	320	53.33 %	#1,233
78.	18218	40.819404, -75.916804	Coaldale, Pennsylvania	2,295	53.14 %	#1,299
79.	19010	40.023762, -75.330442	Bryn Mawr, Pennsylvania	21,485	53.12 %	#1,308
80.	15221	40.434406, -79.863660	Pittsburgh, Pennsylvania	36,387	53.09 %	#1,319
81.	18473	41.508331, -75.202465	White Mills, Pennsylvania	643	52.94 %	#1,367
82.	16670	40.271810, -78.504402	Queen, Pennsylvania	194	52.94 %	#1,368
83.	18350	41.111433, -75.458151	Pocono Pines, Pennsylvania	1,489	52.83 %	#1,410
84.	15214	40.486209, -80.012771	Pittsburgh, Pennsylvania	17,519	52.83 %	#1,413
85.	19126	40.056119, -75.136564	Philadelphia, Pennsylvania	16,484	52.79 %	#1,432
86.	16121	41.209953, -80.498702	Farrell, Pennsylvania	6,170	52.79 %	#1,436
87.	15224	40.463898, -79.945097	Pittsburgh, Pennsylvania	12,095	52.73 %	#1,462
88.	17763	41.507375, -76.976180	Ralston, Pennsylvania	259	52.67 %	#1,485
89.	17010	40.278963, -76.580661	Campbelltown, Pennsylvania	264	52.56 %	#1,530
90.	15104	40.403986, -79.861407	Braddock, Pennsylvania	11,434	52.55 %	#1,536
91.	17867	40.708518, -76.686877	Rebuck, Pennsylvania	149	52.54 %	#1,537
92.	19031	40.108362, -75.217603	Flourtown, Pennsylvania	4,724	52.47 %	#1,564
93.	18434	41.471909, -75.560736	Jessup, Pennsylvania	4,238	52.46 %	#1,566
94.	17103	40.275426, -76.866368	Harrisburg, Pennsylvania	11,768	52.42 %	#1,580
95.	15014	40.608471, -79.741466	Brackenridge, Pennsylvania	3,543	52.36 %	#1,604
96.	15562	39.746183, -79.131093	Springs, Pennsylvania	181	52.33 %	#1,620
97.	19140	40.011789, -75.145282	Philadelphia, Pennsylvania	57,125	52.28 %	#1,641
98.	17767	41.083938, -77.463367	Salona, Pennsylvania	65	52.17 %	#1,679
99.	16234	41.130714, -79.338020	Limestone, Pennsylvania	56	52.17 %	#1,680
100.	15710	40.636212, -78.861580	Alverda, Pennsylvania	272	52.14 %	#1,699

1-100 out of 1,715 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