Zip Codes with the Highest Male / Female Ratio in Pennsylvania [ 101 - 200 ]

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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

Zip Codes with the Highest Male / Female Ratio in Pennsylvania

Zip Code Males / 100 Females vs State vs National
101.17750144.6497.45(+47.2)#10198.38(+46.3)#2,114
102.16692144.5097.45(+47.1)#10298.38(+46.1)#2,123
103.16351144.4497.45(+47.0)#10398.38(+46.1)#2,126
104.19533144.1597.45(+46.7)#10498.38(+45.8)#2,140
105.15086143.8797.45(+46.4)#10598.38(+45.5)#2,157
106.17944143.7597.45(+46.3)#10698.38(+45.4)#2,162
107.18950143.7597.45(+46.3)#10798.38(+45.4)#2,163
108.17518143.7297.45(+46.3)#10898.38(+45.3)#2,165
109.15435143.4897.45(+46.0)#10998.38(+45.1)#2,173
110.16501143.4497.45(+46.0)#11098.38(+45.1)#2,175
111.15776142.8697.45(+45.4)#11198.38(+44.5)#2,213
112.17946142.7297.45(+45.3)#11298.38(+44.3)#2,219
113.15616142.6197.45(+45.2)#11398.38(+44.2)#2,223
114.16882142.0297.45(+44.6)#11498.38(+43.6)#2,262
115.17850141.9697.45(+44.5)#11598.38(+43.6)#2,268
116.18980141.8697.45(+44.4)#11698.38(+43.5)#2,280
117.17214140.6997.45(+43.2)#11798.38(+42.3)#2,351
118.16865140.5897.45(+43.1)#11898.38(+42.2)#2,363
119.15617140.5797.45(+43.1)#11998.38(+42.2)#2,365
120.16624140.0097.45(+42.5)#12098.38(+41.6)#2,398
121.15421140.0097.45(+42.5)#12198.38(+41.6)#2,401
122.19472140.0097.45(+42.5)#12298.38(+41.6)#2,402
123.15346139.9097.45(+42.5)#12398.38(+41.5)#2,414
124.15710139.5397.45(+42.1)#12498.38(+41.2)#2,442
125.15870139.3897.45(+41.9)#12598.38(+41.0)#2,452
126.17306139.0097.45(+41.6)#12698.38(+40.6)#2,480
127.16847138.9697.45(+41.5)#12798.38(+40.6)#2,484
128.17867138.7597.45(+41.3)#12898.38(+40.4)#2,499
129.16619138.6497.45(+41.2)#12998.38(+40.3)#2,507
130.18438138.5897.45(+41.1)#13098.38(+40.2)#2,514
131.15353138.4697.45(+41.0)#13198.38(+40.1)#2,522
132.19511138.3697.45(+40.9)#13298.38(+40.0)#2,528
133.15940137.8097.45(+40.4)#13398.38(+39.4)#2,563
134.17581137.7497.45(+40.3)#13498.38(+39.4)#2,573
135.19127137.4697.45(+40.0)#13598.38(+39.1)#2,593
136.16943136.7197.45(+39.3)#13698.38(+38.3)#2,673
137.18456136.5197.45(+39.1)#13798.38(+38.1)#2,698
138.18413136.3697.45(+38.9)#13898.38(+38.0)#2,716
139.18469136.1097.45(+38.6)#13998.38(+37.7)#2,732
140.16866136.0197.45(+38.6)#14098.38(+37.6)#2,739
141.15488135.9097.45(+38.4)#14198.38(+37.5)#2,757
142.17865135.7197.45(+38.3)#14298.38(+37.3)#2,786
143.15310135.2997.45(+37.8)#14398.38(+36.9)#2,830
144.17945135.0497.45(+37.6)#14498.38(+36.7)#2,849
145.17342135.0497.45(+37.6)#14598.38(+36.7)#2,851
146.17949135.0097.45(+37.5)#14698.38(+36.6)#2,856
147.15752134.6297.45(+37.2)#14798.38(+36.2)#2,892
148.17832134.4197.45(+37.0)#14898.38(+36.0)#2,909
149.18435134.2997.45(+36.8)#14998.38(+35.9)#2,919
150.16329133.8897.45(+36.4)#15098.38(+35.5)#2,968
151.15927133.8597.45(+36.4)#15198.38(+35.5)#2,973
152.16020133.7997.45(+36.3)#15298.38(+35.4)#2,980
153.15362133.7997.45(+36.3)#15398.38(+35.4)#2,981
154.15750133.3397.45(+35.9)#15498.38(+34.9)#3,026
155.17769133.3397.45(+35.9)#15598.38(+34.9)#3,040
156.17251133.3397.45(+35.9)#15698.38(+34.9)#3,042
157.16746133.2097.45(+35.7)#15798.38(+34.8)#3,050
158.15341132.9597.45(+35.5)#15898.38(+34.6)#3,073
159.16675132.5697.45(+35.1)#15998.38(+34.2)#3,119
160.17260131.7697.45(+34.3)#16098.38(+33.4)#3,203
161.15432131.6597.45(+34.2)#16198.38(+33.3)#3,214
162.17323131.4397.45(+34.0)#16298.38(+33.0)#3,234
163.15316131.2597.45(+33.8)#16398.38(+32.9)#3,250
164.15051131.2297.45(+33.8)#16498.38(+32.8)#3,253
165.16427131.0397.45(+33.6)#16598.38(+32.7)#3,271
166.19373130.9397.45(+33.5)#16698.38(+32.5)#3,283
167.15846130.9297.45(+33.5)#16798.38(+32.5)#3,284
168.15370130.8297.45(+33.4)#16898.38(+32.4)#3,302
169.15412130.7797.45(+33.3)#16998.38(+32.4)#3,311
170.18942130.5097.45(+33.1)#17098.38(+32.1)#3,340
171.16443130.4597.45(+33.0)#17198.38(+32.1)#3,347
172.19475130.0897.45(+32.6)#17298.38(+31.7)#3,394
173.15611130.0097.45(+32.5)#17398.38(+31.6)#3,409
174.17880130.0097.45(+32.5)#17498.38(+31.6)#3,413
175.16823129.9697.45(+32.5)#17598.38(+31.6)#3,418
176.16211129.7397.45(+32.3)#17698.38(+31.3)#3,438
177.15716129.6397.45(+32.2)#17798.38(+31.2)#3,451
178.16879129.2197.45(+31.8)#17898.38(+30.8)#3,505
179.17304129.0797.45(+31.6)#17998.38(+30.7)#3,519
180.17921128.8697.45(+31.4)#18098.38(+30.5)#3,541
181.18221128.5097.45(+31.0)#18198.38(+30.1)#3,595
182.17748128.3697.45(+30.9)#18298.38(+30.0)#3,619
183.18843128.2997.45(+30.8)#18398.38(+29.9)#3,631
184.16420128.0697.45(+30.6)#18498.38(+29.7)#3,668
185.15330128.0497.45(+30.6)#18598.38(+29.7)#3,670
186.16563127.9297.45(+30.5)#18698.38(+29.5)#3,693
187.17885127.8497.45(+30.4)#18798.38(+29.5)#3,707
188.18219127.7197.45(+30.3)#18898.38(+29.3)#3,727
189.15429127.6997.45(+30.2)#18998.38(+29.3)#3,729
190.15031127.6697.45(+30.2)#19098.38(+29.3)#3,734
191.15926127.4497.45(+30.0)#19198.38(+29.1)#3,759
192.16436126.9197.45(+29.5)#19298.38(+28.5)#3,844
193.15520126.7697.45(+29.3)#19398.38(+28.4)#3,859
194.16859126.6197.45(+29.2)#19498.38(+28.2)#3,881
195.15778126.4997.45(+29.0)#19598.38(+28.1)#3,906
196.17065126.4897.45(+29.0)#19698.38(+28.1)#3,907
197.15725126.4097.45(+29.0)#19798.38(+28.0)#3,918
198.15321126.3697.45(+28.9)#19898.38(+28.0)#3,923
199.15282126.3197.45(+28.9)#19998.38(+27.9)#3,933
200.15233126.2697.45(+28.8)#20098.38(+27.9)#3,943