Zip Codes with the Highest Female / Male Ratio in New York [ 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
New York
Compare Zip Codes
Comparison Subject

Zip Codes with the Highest Female / Male Ratio in New York

Zip Code Females / 100 Males vs State vs National
101.10589132.74104.41(+28.3)#101101.64(+31.1)#1,871
102.12574132.54104.41(+28.1)#102101.64(+30.9)#1,882
103.12903132.29104.41(+27.9)#103101.64(+30.6)#1,905
104.11958131.95104.41(+27.5)#104101.64(+30.3)#1,936
105.12759131.89104.41(+27.5)#105101.64(+30.2)#1,939
106.13314131.82104.41(+27.4)#106101.64(+30.2)#1,942
107.13623131.82104.41(+27.4)#107101.64(+30.2)#1,944
108.10964131.41104.41(+27.0)#108101.64(+29.8)#1,975
109.13649131.25104.41(+26.8)#109101.64(+29.6)#1,988
110.11951131.11104.41(+26.7)#110101.64(+29.5)#2,002
111.12032131.03104.41(+26.6)#111101.64(+29.4)#2,007
112.12027130.78104.41(+26.4)#112101.64(+29.1)#2,027
113.14204130.76104.41(+26.3)#113101.64(+29.1)#2,032
114.12789130.60104.41(+26.2)#114101.64(+29.0)#2,046
115.10526130.56104.41(+26.1)#115101.64(+28.9)#2,051
116.12732130.56104.41(+26.1)#116101.64(+28.9)#2,053
117.13614130.00104.41(+25.6)#117101.64(+28.4)#2,104
118.12577129.93104.41(+25.5)#118101.64(+28.3)#2,113
119.10128129.82104.41(+25.4)#119101.64(+28.2)#2,124
120.13666129.79104.41(+25.4)#120101.64(+28.1)#2,128
121.10017129.75104.41(+25.3)#121101.64(+28.1)#2,129
122.10553129.73104.41(+25.3)#122101.64(+28.1)#2,134
123.14454129.51104.41(+25.1)#123101.64(+27.9)#2,151
124.13694129.07104.41(+24.7)#124101.64(+27.4)#2,187
125.10588129.05104.41(+24.6)#125101.64(+27.4)#2,189
126.11549128.62104.41(+24.2)#126101.64(+27.0)#2,238
127.12527128.57104.41(+24.2)#127101.64(+26.9)#2,253
128.11693128.52104.41(+24.1)#128101.64(+26.9)#2,260
129.12849128.49104.41(+24.1)#129101.64(+26.9)#2,264
130.14613128.30104.41(+23.9)#130101.64(+26.7)#2,278
131.10005127.95104.41(+23.5)#131101.64(+26.3)#2,325
132.14478127.79104.41(+23.4)#132101.64(+26.1)#2,340
133.14055127.70104.41(+23.3)#133101.64(+26.1)#2,350
134.10535127.66104.41(+23.2)#134101.64(+26.0)#2,355
135.11939127.66104.41(+23.2)#135101.64(+26.0)#2,357
136.14033127.41104.41(+23.0)#136101.64(+25.8)#2,382
137.11579127.30104.41(+22.9)#137101.64(+25.7)#2,389
138.12976127.27104.41(+22.9)#138101.64(+25.6)#2,397
139.14817127.24104.41(+22.8)#139101.64(+25.6)#2,402
140.10037127.13104.41(+22.7)#140101.64(+25.5)#2,417
141.12090127.10104.41(+22.7)#141101.64(+25.5)#2,420
142.10552126.91104.41(+22.5)#142101.64(+25.3)#2,446
143.10029126.76104.41(+22.3)#143101.64(+25.1)#2,460
144.10976126.68104.41(+22.3)#144101.64(+25.0)#2,468
145.13244126.53104.41(+22.1)#145101.64(+24.9)#2,491
146.14208126.48104.41(+22.1)#146101.64(+24.8)#2,497
147.12086126.06104.41(+21.6)#147101.64(+24.4)#2,538
148.13849126.06104.41(+21.6)#148101.64(+24.4)#2,540
149.14825126.05104.41(+21.6)#149101.64(+24.4)#2,542
150.12545125.94104.41(+21.5)#150101.64(+24.3)#2,553
151.10577125.92104.41(+21.5)#151101.64(+24.3)#2,556
152.13211125.89104.41(+21.5)#152101.64(+24.2)#2,562
153.12443125.85104.41(+21.4)#153101.64(+24.2)#2,566
154.10466125.82104.41(+21.4)#154101.64(+24.2)#2,571
155.13112125.59104.41(+21.2)#155101.64(+23.9)#2,599
156.14215125.53104.41(+21.1)#156101.64(+23.9)#2,609
157.10501125.48104.41(+21.1)#157101.64(+23.8)#2,614
158.10988125.41104.41(+21.0)#158101.64(+23.8)#2,622
159.13641125.00104.41(+20.6)#159101.64(+23.4)#2,684
160.12933125.00104.41(+20.6)#160101.64(+23.4)#2,686
161.10065124.66104.41(+20.2)#161101.64(+23.0)#2,727
162.12404124.39104.41(+20.0)#162101.64(+22.7)#2,760
163.12873124.36104.41(+19.9)#163101.64(+22.7)#2,769
164.12453124.30104.41(+19.9)#164101.64(+22.7)#2,778
165.14804124.26104.41(+19.8)#165101.64(+22.6)#2,782
166.14069124.20104.41(+19.8)#166101.64(+22.6)#2,795
167.10517124.19104.41(+19.8)#167101.64(+22.6)#2,796
168.11509123.97104.41(+19.6)#168101.64(+22.3)#2,823
169.10931123.96104.41(+19.5)#169101.64(+22.3)#2,826
170.11930123.87104.41(+19.5)#170101.64(+22.2)#2,843
171.12417123.85104.41(+19.4)#171101.64(+22.2)#2,847
172.10021123.81104.41(+19.4)#172101.64(+22.2)#2,852
173.12131123.81104.41(+19.4)#173101.64(+22.2)#2,854
174.10075123.76104.41(+19.3)#174101.64(+22.1)#2,863
175.13337123.63104.41(+19.2)#175101.64(+22.0)#2,875
176.11207123.58104.41(+19.2)#176101.64(+21.9)#2,883
177.13860123.53104.41(+19.1)#177101.64(+21.9)#2,888
178.11434123.44104.41(+19.0)#178101.64(+21.8)#2,911
179.11412123.42104.41(+19.0)#179101.64(+21.8)#2,915
180.12411123.08104.41(+18.7)#180101.64(+21.4)#2,964
181.12887122.96104.41(+18.5)#181101.64(+21.3)#2,984
182.10994122.74104.41(+18.3)#182101.64(+21.1)#3,021
183.10022122.70104.41(+18.3)#183101.64(+21.1)#3,031
184.10023122.69104.41(+18.3)#184101.64(+21.0)#3,033
185.12751122.63104.41(+18.2)#185101.64(+21.0)#3,041
186.11413122.57104.41(+18.2)#186101.64(+20.9)#3,055
187.10038122.48104.41(+18.1)#187101.64(+20.8)#3,069
188.13471122.26104.41(+17.8)#188101.64(+20.6)#3,122
189.10550121.83104.41(+17.4)#189101.64(+20.2)#3,208
190.14462121.82104.41(+17.4)#190101.64(+20.2)#3,209
191.12017121.69104.41(+17.3)#191101.64(+20.1)#3,233
192.12960121.67104.41(+17.3)#192101.64(+20.0)#3,238
193.14619121.62104.41(+17.2)#193101.64(+20.0)#3,242
194.10028121.44104.41(+17.0)#194101.64(+19.8)#3,282
195.11747121.30104.41(+16.9)#195101.64(+19.7)#3,316
196.10960121.29104.41(+16.9)#196101.64(+19.6)#3,319
197.12543121.24104.41(+16.8)#197101.64(+19.6)#3,325
198.13620121.20104.41(+16.8)#198101.64(+19.6)#3,337
199.12594121.11104.41(+16.7)#199101.64(+19.5)#3,357
200.13616121.00104.41(+16.6)#200101.64(+19.4)#3,378