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

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Female / Male 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 Female / Male Ratio in Pennsylvania

Zip Code Females / 100 Males vs State vs National
101.17210138.00102.62(+35.4)#102101.64(+36.4)#1,538
102.15733138.00102.62(+35.4)#103101.64(+36.4)#1,539
103.18625137.78102.62(+35.2)#104101.64(+36.1)#1,549
104.16665137.74102.62(+35.1)#105101.64(+36.1)#1,550
105.18241137.59102.62(+35.0)#106101.64(+35.9)#1,559
106.19544137.50102.62(+34.9)#107101.64(+35.9)#1,563
107.15737137.50102.62(+34.9)#108101.64(+35.9)#1,564
108.18452137.48102.62(+34.9)#109101.64(+35.8)#1,569
109.18451137.39102.62(+34.8)#110101.64(+35.7)#1,574
110.18340137.04102.62(+34.4)#111101.64(+35.4)#1,591
111.19141136.18102.62(+33.6)#112101.64(+34.5)#1,641
112.17762135.75102.62(+33.1)#113101.64(+34.1)#1,664
113.16682134.78102.62(+32.2)#114101.64(+33.1)#1,722
114.17953134.51102.62(+31.9)#115101.64(+32.9)#1,735
115.18816134.38102.62(+31.8)#116101.64(+32.7)#1,740
116.17506134.13102.62(+31.5)#117101.64(+32.5)#1,756
117.15620134.07102.62(+31.5)#118101.64(+32.4)#1,759
118.15351134.00102.62(+31.4)#119101.64(+32.4)#1,765
119.15729133.99102.62(+31.4)#120101.64(+32.3)#1,767
120.15677133.54102.62(+30.9)#121101.64(+31.9)#1,800
121.15783133.33102.62(+30.7)#122101.64(+31.7)#1,832
122.15546132.45102.62(+29.8)#123101.64(+30.8)#1,888
123.15641131.94102.62(+29.3)#124101.64(+30.3)#1,937
124.15555131.43102.62(+28.8)#125101.64(+29.8)#1,973
125.17827131.22102.62(+28.6)#126101.64(+29.6)#1,990
126.16403131.20102.62(+28.6)#127101.64(+29.6)#1,994
127.19474131.14102.62(+28.5)#128101.64(+29.5)#1,997
128.15625130.95102.62(+28.3)#129101.64(+29.3)#2,015
129.15962130.77102.62(+28.2)#130101.64(+29.1)#2,028
130.15030130.42102.62(+27.8)#131101.64(+28.8)#2,072
131.17014130.30102.62(+27.7)#132101.64(+28.7)#2,081
132.18923130.28102.62(+27.7)#133101.64(+28.6)#2,083
133.18083130.23102.62(+27.6)#134101.64(+28.6)#2,087
134.18622130.21102.62(+27.6)#135101.64(+28.6)#2,091
135.17211129.52102.62(+26.9)#136101.64(+27.9)#2,149
136.19032129.32102.62(+26.7)#137101.64(+27.7)#2,167
137.15847129.27102.62(+26.7)#138101.64(+27.6)#2,170
138.15663128.93102.62(+26.3)#139101.64(+27.3)#2,198
139.15137128.80102.62(+26.2)#140101.64(+27.2)#2,220
140.19010128.40102.62(+25.8)#141101.64(+26.8)#2,272
141.18087128.14102.62(+25.5)#142101.64(+26.5)#2,300
142.19564128.12102.62(+25.5)#143101.64(+26.5)#2,305
143.16636128.06102.62(+25.4)#144101.64(+26.4)#2,314
144.18420127.78102.62(+25.2)#145101.64(+26.1)#2,342
145.16444127.21102.62(+24.6)#146101.64(+25.6)#2,407
146.15135127.10102.62(+24.5)#147101.64(+25.5)#2,421
147.15235126.97102.62(+24.3)#148101.64(+25.3)#2,439
148.18820126.92102.62(+24.3)#149101.64(+25.3)#2,443
149.16868126.87102.62(+24.3)#150101.64(+25.2)#2,450
150.18248126.73102.62(+24.1)#151101.64(+25.1)#2,465
151.17551126.44102.62(+23.8)#152101.64(+24.8)#2,499
152.15961126.40102.62(+23.8)#153101.64(+24.8)#2,506
153.17303126.19102.62(+23.6)#154101.64(+24.5)#2,521
154.17081126.17102.62(+23.6)#155101.64(+24.5)#2,524
155.15829125.98102.62(+23.4)#156101.64(+24.3)#2,547
156.15697125.96102.62(+23.3)#157101.64(+24.3)#2,549
157.15019125.91102.62(+23.3)#158101.64(+24.3)#2,558
158.16613125.89102.62(+23.3)#159101.64(+24.2)#2,563
159.18602125.31102.62(+22.7)#160101.64(+23.7)#2,631
160.19118125.27102.62(+22.7)#161101.64(+23.6)#2,640
161.15636125.14102.62(+22.5)#162101.64(+23.5)#2,657
162.18461124.76102.62(+22.1)#163101.64(+23.1)#2,711
163.15365124.72102.62(+22.1)#164101.64(+23.1)#2,716
164.17824124.65102.62(+22.0)#165101.64(+23.0)#2,728
165.15027124.37102.62(+21.8)#166101.64(+22.7)#2,767
166.17505124.35102.62(+21.7)#167101.64(+22.7)#2,771
167.15015124.18102.62(+21.6)#168101.64(+22.5)#2,797
168.16633124.00102.62(+21.4)#169101.64(+22.4)#2,818
169.19133123.75102.62(+21.1)#170101.64(+22.1)#2,864
170.19023123.63102.62(+21.0)#171101.64(+22.0)#2,874
171.18443123.62102.62(+21.0)#172101.64(+22.0)#2,879
172.18610123.56102.62(+20.9)#173101.64(+21.9)#2,884
173.18519123.45102.62(+20.8)#174101.64(+21.8)#2,909
174.19319123.40102.62(+20.8)#175101.64(+21.8)#2,916
175.16160123.36102.62(+20.7)#176101.64(+21.7)#2,922
176.15683123.16102.62(+20.5)#177101.64(+21.5)#2,944
177.15440122.97102.62(+20.4)#178101.64(+21.3)#2,981
178.18371122.89102.62(+20.3)#179101.64(+21.2)#2,993
179.15368122.87102.62(+20.3)#180101.64(+21.2)#2,997
180.17749122.76102.62(+20.1)#181101.64(+21.1)#3,014
181.17720122.73102.62(+20.1)#182101.64(+21.1)#3,024
182.17213122.66102.62(+20.0)#183101.64(+21.0)#3,038
183.19520122.65102.62(+20.0)#184101.64(+21.0)#3,039
184.19139122.53102.62(+19.9)#185101.64(+20.9)#3,060
185.17933122.50102.62(+19.9)#186101.64(+20.9)#3,067
186.16666122.40102.62(+19.8)#187101.64(+20.8)#3,087
187.16213122.39102.62(+19.8)#188101.64(+20.7)#3,088
188.19031122.37102.62(+19.8)#189101.64(+20.7)#3,091
189.19119122.32102.62(+19.7)#190101.64(+20.7)#3,104
190.15536122.30102.62(+19.7)#191101.64(+20.7)#3,114
191.17243122.26102.62(+19.6)#192101.64(+20.6)#3,123
192.18246122.11102.62(+19.5)#193101.64(+20.5)#3,149
193.17075122.06102.62(+19.4)#194101.64(+20.4)#3,159
194.17536122.02102.62(+19.4)#195101.64(+20.4)#3,167
195.16023122.01102.62(+19.4)#196101.64(+20.4)#3,168
196.18972121.95102.62(+19.3)#197101.64(+20.3)#3,180
197.15420121.95102.62(+19.3)#198101.64(+20.3)#3,181
198.15612121.89102.62(+19.3)#199101.64(+20.3)#3,190
199.16939121.84102.62(+19.2)#200101.64(+20.2)#3,204
200.19012121.62102.62(+19.0)#201101.64(+20.0)#3,244