Zip Codes with the Highest Male / Female Ratio in Pennsylvania

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Male / Female Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Pennsylvania
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Male / Female Ratio in Pennsylvania

0.00
20,000.00
Zip Codes with the Highest Male / Female Ratio in Pennsylvania Map

Zip Codes with the Highest Male / Female Ratio in Pennsylvania

Zip Code Males / 100 Females vs State vs National
1.1665417,854.5597.45(+17.8k)#198.38(+17.8k)#7
2.154508,011.1197.45(+7.91k)#298.38(+7.91k)#12
3.183491,011.7697.45(+914)#398.38(+913)#57
4.18440383.3397.45(+286)#498.38(+285)#217
5.17810367.4097.45(+270)#598.38(+269)#230
6.16738363.9697.45(+267)#698.38(+266)#231
7.16855357.8997.45(+260)#798.38(+260)#239
8.18242338.8297.45(+241)#898.38(+240)#260
9.16321333.3397.45(+236)#998.38(+235)#268
10.16239326.3797.45(+229)#1098.38(+228)#278
11.15763325.0097.45(+228)#1198.38(+227)#280
12.16727313.2197.45(+216)#1298.38(+215)#297
13.15647311.1197.45(+214)#1398.38(+213)#300
14.16725294.7497.45(+197)#1498.38(+196)#336
15.19108290.0097.45(+193)#1598.38(+192)#344
16.15476290.0097.45(+193)#1698.38(+192)#345
17.19435263.6497.45(+166)#1798.38(+165)#400
18.16852236.7397.45(+139)#1898.38(+138)#489
19.15779233.5497.45(+136)#1998.38(+135)#496
20.17076232.4397.45(+135)#2098.38(+134)#508
21.15764231.9197.45(+134)#2198.38(+134)#513
22.16744230.8897.45(+133)#2298.38(+132)#517
23.16651225.2997.45(+128)#2398.38(+127)#547
24.17931224.1597.45(+127)#2498.38(+126)#556
25.16151222.2297.45(+125)#2598.38(+124)#566
26.18472218.5097.45(+121)#2698.38(+120)#598
27.16849218.1897.45(+121)#2798.38(+120)#600
28.16322216.2297.45(+119)#2898.38(+118)#614
29.18936215.4897.45(+118)#2998.38(+117)#622
30.17071215.3897.45(+118)#3098.38(+117)#623
31.17219212.3597.45(+115)#3198.38(+114)#653
32.19316211.5497.45(+114)#3298.38(+113)#658
33.19550209.4197.45(+112)#3398.38(+111)#672
34.15734208.7097.45(+111)#3498.38(+110)#677
35.15828206.5897.45(+109)#3598.38(+108)#686
36.15680204.1197.45(+107)#3698.38(+106)#711
37.16825201.2597.45(+104)#3798.38(+103)#731
38.15275200.0097.45(+103)#3898.38(+102)#761
39.15775198.0197.45(+101)#3998.38(+99.6)#780
40.15746193.8897.45(+96.4)#4098.38(+95.5)#827
41.18920193.6797.45(+96.2)#4198.38(+95.3)#833
42.16331191.8497.45(+94.4)#4298.38(+93.5)#855
43.18256188.7197.45(+91.3)#4398.38(+90.3)#897
44.17101187.2097.45(+89.7)#4498.38(+88.8)#917
45.16250185.1197.45(+87.7)#4598.38(+86.7)#949
46.18503177.8397.45(+80.4)#4698.38(+79.4)#1,061
47.15646175.8697.45(+78.4)#4798.38(+77.5)#1,101
48.17030175.5997.45(+78.1)#4898.38(+77.2)#1,107
49.18825175.0097.45(+77.5)#4998.38(+76.6)#1,115
50.15379173.0897.45(+75.6)#5098.38(+74.7)#1,151
51.15754171.4397.45(+74.0)#5198.38(+73.0)#1,175
52.17768169.5197.45(+72.1)#5298.38(+71.1)#1,214
53.15831168.7597.45(+71.3)#5398.38(+70.4)#1,237
54.15770168.6697.45(+71.2)#5498.38(+70.3)#1,238
55.15713168.6697.45(+71.2)#5598.38(+70.3)#1,239
56.18056168.4797.45(+71.0)#5698.38(+70.1)#1,244
57.18065168.3297.45(+70.9)#5798.38(+69.9)#1,252
58.17263167.8297.45(+70.4)#5898.38(+69.4)#1,265
59.17217166.6797.45(+69.2)#5998.38(+68.3)#1,291
60.15544165.4897.45(+68.0)#6098.38(+67.1)#1,313
61.18921164.0097.45(+66.5)#6198.38(+65.6)#1,350
62.17866163.0897.45(+65.6)#6298.38(+64.7)#1,375
63.16876163.0497.45(+65.6)#6398.38(+64.7)#1,377
64.15628162.8497.45(+65.4)#6498.38(+64.5)#1,383
65.16845162.6997.45(+65.2)#6598.38(+64.3)#1,390
66.18828162.2097.45(+64.7)#6698.38(+63.8)#1,397
67.15380162.0097.45(+64.5)#6798.38(+63.6)#1,405
68.15018161.8897.45(+64.4)#6898.38(+63.5)#1,408
69.17261161.1197.45(+63.7)#6998.38(+62.7)#1,422
70.15821160.7197.45(+63.3)#7098.38(+62.3)#1,434
71.19369160.6697.45(+63.2)#7198.38(+62.3)#1,438
72.16691158.3397.45(+60.9)#7298.38(+59.9)#1,494
73.16826157.5897.45(+60.1)#7398.38(+59.2)#1,526
74.15691157.2397.45(+59.8)#7498.38(+58.8)#1,539
75.16837156.6097.45(+59.2)#7598.38(+58.2)#1,572
76.15679156.5197.45(+59.1)#7698.38(+58.1)#1,573
77.15761156.3697.45(+58.9)#7798.38(+58.0)#1,578
78.18350156.2297.45(+58.8)#7898.38(+57.8)#1,584
79.17029155.7797.45(+58.3)#7998.38(+57.4)#1,603
80.18454155.5697.45(+58.1)#8098.38(+57.2)#1,608
81.15777155.5697.45(+58.1)#8198.38(+57.2)#1,611
82.15698155.5197.45(+58.1)#8298.38(+57.1)#1,616
83.15760151.5297.45(+54.1)#8398.38(+53.1)#1,755
84.18970150.9797.45(+53.5)#8498.38(+52.6)#1,786
85.17507150.7997.45(+53.3)#8598.38(+52.4)#1,795
86.17739150.0097.45(+52.5)#8698.38(+51.6)#1,849
87.16851149.6997.45(+52.2)#8798.38(+51.3)#1,860
88.16685149.6197.45(+52.2)#8898.38(+51.2)#1,861
89.16402149.2997.45(+51.8)#8998.38(+50.9)#1,878
90.17504149.1297.45(+51.7)#9198.38(+50.7)#1,886
91.19367149.1297.45(+51.7)#9298.38(+50.7)#1,887
92.18220148.3697.45(+50.9)#9398.38(+50.0)#1,923
93.16132148.2397.45(+50.8)#9498.38(+49.8)#1,931
94.16871147.6297.45(+50.2)#9598.38(+49.2)#1,970
95.16680147.2297.45(+49.8)#9698.38(+48.8)#1,990
96.15460147.1497.45(+49.7)#9798.38(+48.8)#1,993
97.16694146.8197.45(+49.4)#9898.38(+48.4)#2,007
98.16223146.4397.45(+49.0)#9998.38(+48.0)#2,029
99.18823146.3497.45(+48.9)#10098.38(+48.0)#2,032
100.15762145.9397.45(+48.5)#10198.38(+47.5)#2,052

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Pennsylvania?
Top 10 Zip Codes with the Highest Male / Female Ratio in Pennsylvania are:
#1
17,854.55
#2
8,011.11
#3
1,011.76
#4
383.33
#5
367.40
#6
363.96
#7
357.89
#8
338.82
#9
333.33
#10
326.37
What zip code has the Highest Male / Female Ratio in Pennsylvania?
16654 has the Highest Male / Female Ratio in Pennsylvania with 17,854.55.
What is the Male to Female Ratio in the State of Pennsylvania?
Male to Female Ratio in Pennsylvania is 97.45.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.