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

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

Zip Code Males / 100 Females vs State vs National
101.14537148.9495.77(+53.2)#10198.38(+50.6)#1,895
102.12763148.6895.77(+52.9)#10298.38(+50.3)#1,910
103.12062148.4395.77(+52.7)#10398.38(+50.0)#1,922
104.14475148.3395.77(+52.6)#10498.38(+49.9)#1,926
105.12941148.0995.77(+52.3)#10598.38(+49.7)#1,940
106.14521147.3295.77(+51.5)#10698.38(+48.9)#1,984
107.14060147.2295.77(+51.5)#10798.38(+48.8)#1,991
108.14824146.9595.77(+51.2)#10898.38(+48.6)#2,001
109.13116145.9395.77(+50.2)#10998.38(+47.5)#2,051
110.12452145.4595.77(+49.7)#11098.38(+47.1)#2,073
111.13690145.4095.77(+49.6)#11198.38(+47.0)#2,079
112.13687145.1595.77(+49.4)#11298.38(+46.8)#2,091
113.14881145.1095.77(+49.3)#11398.38(+46.7)#2,095
114.13842144.9895.77(+49.2)#11498.38(+46.6)#2,101
115.13699144.0895.77(+48.3)#11598.38(+45.7)#2,144
116.12812144.0695.77(+48.3)#11698.38(+45.7)#2,147
117.10996142.9195.77(+47.1)#11798.38(+44.5)#2,205
118.12085142.8695.77(+47.1)#11898.38(+44.5)#2,211
119.12742142.5095.77(+46.7)#11998.38(+44.1)#2,236
120.12765142.1295.77(+46.3)#12098.38(+43.7)#2,252
121.12852141.7295.77(+45.9)#12198.38(+43.3)#2,286
122.13415141.1895.77(+45.4)#12298.38(+42.8)#2,322
123.13490141.0295.77(+45.2)#12398.38(+42.6)#2,335
124.10069140.5595.77(+44.8)#12498.38(+42.2)#2,366
125.13674140.3595.77(+44.6)#12598.38(+42.0)#2,382
126.10958139.9595.77(+44.2)#12698.38(+41.6)#2,409
127.12058139.7995.77(+44.0)#12798.38(+41.4)#2,419
128.12057139.7495.77(+44.0)#12898.38(+41.4)#2,423
129.14894139.6095.77(+43.8)#12998.38(+41.2)#2,433
130.12953139.2895.77(+43.5)#13098.38(+40.9)#2,464
131.12418139.0295.77(+43.3)#13198.38(+40.6)#2,478
132.12461138.4395.77(+42.7)#13298.38(+40.1)#2,523
133.14752137.1195.77(+41.3)#13398.38(+38.7)#2,631
134.12737136.8895.77(+41.1)#13498.38(+38.5)#2,653
135.12501136.6495.77(+40.9)#13598.38(+38.3)#2,681
136.14808136.0595.77(+40.3)#13698.38(+37.7)#2,736
137.12031135.8095.77(+40.0)#13798.38(+37.4)#2,770
138.12575135.7195.77(+39.9)#13898.38(+37.3)#2,778
139.14166135.7195.77(+39.9)#13998.38(+37.3)#2,781
140.13342135.0495.77(+39.3)#14098.38(+36.7)#2,850
141.12726134.3795.77(+38.6)#14198.38(+36.0)#2,912
142.14716134.2095.77(+38.4)#14298.38(+35.8)#2,927
143.14769134.1795.77(+38.4)#14398.38(+35.8)#2,935
144.12964134.1595.77(+38.4)#14498.38(+35.8)#2,939
145.13145133.8795.77(+38.1)#14598.38(+35.5)#2,969
146.12423133.7195.77(+37.9)#14698.38(+35.3)#2,990
147.14729133.6295.77(+37.8)#14798.38(+35.2)#3,002
148.14202133.5295.77(+37.8)#14898.38(+35.1)#3,011
149.12746133.4695.77(+37.7)#14998.38(+35.1)#3,015
150.12780132.8595.77(+37.1)#15098.38(+34.5)#3,086
151.13695132.5695.77(+36.8)#15198.38(+34.2)#3,117
152.12811131.9695.77(+36.2)#15298.38(+33.6)#3,182
153.12860131.8595.77(+36.1)#15398.38(+33.5)#3,195
154.12993131.7795.77(+36.0)#15498.38(+33.4)#3,200
155.13495131.7495.77(+36.0)#15598.38(+33.4)#3,206
156.13071131.0295.77(+35.2)#15698.38(+32.6)#3,274
157.14143131.0095.77(+35.2)#15798.38(+32.6)#3,276
158.11370130.8795.77(+35.1)#15898.38(+32.5)#3,290
159.13607130.8795.77(+35.1)#15998.38(+32.5)#3,291
160.13748130.8295.77(+35.0)#16098.38(+32.4)#3,303
161.13630130.5195.77(+34.7)#16198.38(+32.1)#3,338
162.12412130.4795.77(+34.7)#16298.38(+32.1)#3,345
163.12193130.2695.77(+34.5)#16398.38(+31.9)#3,372
164.12720130.2595.77(+34.5)#16498.38(+31.9)#3,373
165.12565129.9495.77(+34.2)#16598.38(+31.6)#3,420
166.12124129.9195.77(+34.1)#16698.38(+31.5)#3,422
167.12087129.6295.77(+33.9)#16798.38(+31.2)#3,452
168.12719129.6195.77(+33.8)#16898.38(+31.2)#3,456
169.12767129.5995.77(+33.8)#16998.38(+31.2)#3,458
170.14167129.5295.77(+33.7)#17098.38(+31.1)#3,463
171.13626129.3595.77(+33.6)#17198.38(+31.0)#3,487
172.10984128.9295.77(+33.1)#17298.38(+30.5)#3,532
173.12886128.7195.77(+32.9)#17398.38(+30.3)#3,559
174.12827128.7095.77(+32.9)#17498.38(+30.3)#3,562
175.12071128.4295.77(+32.6)#17598.38(+30.0)#3,605
176.12973128.3895.77(+32.6)#17698.38(+30.0)#3,616
177.13473128.3495.77(+32.6)#17798.38(+30.0)#3,625
178.13659128.3195.77(+32.5)#17898.38(+29.9)#3,628
179.10527127.7295.77(+31.9)#17998.38(+29.3)#3,725
180.13621127.5695.77(+31.8)#18098.38(+29.2)#3,749
181.13801127.3695.77(+31.6)#18198.38(+29.0)#3,771
182.13861127.0095.77(+31.2)#18298.38(+28.6)#3,827
183.12955126.9795.77(+31.2)#18398.38(+28.6)#3,833
184.14809126.9595.77(+31.2)#18498.38(+28.6)#3,836
185.13691126.8095.77(+31.0)#18598.38(+28.4)#3,853
186.13124126.6795.77(+30.9)#18698.38(+28.3)#3,873
187.14784126.5995.77(+30.8)#18798.38(+28.2)#3,889
188.12837126.5595.77(+30.8)#18898.38(+28.2)#3,897
189.13424126.4995.77(+30.7)#18998.38(+28.1)#3,903
190.14815126.4895.77(+30.7)#19098.38(+28.1)#3,910
191.12018126.2995.77(+30.5)#19198.38(+27.9)#3,937
192.12725125.8795.77(+30.1)#19298.38(+27.5)#3,988
193.14427125.8595.77(+30.1)#19398.38(+27.5)#3,992
194.12738125.7995.77(+30.0)#19498.38(+27.4)#4,000
195.14555125.7095.77(+29.9)#19598.38(+27.3)#4,013
196.13637125.6795.77(+29.9)#19698.38(+27.3)#4,018
197.12859125.1295.77(+29.3)#19798.38(+26.7)#4,094
198.14860125.1095.77(+29.3)#19898.38(+26.7)#4,095
199.13777125.0095.77(+29.2)#19998.38(+26.6)#4,112
200.13775124.9195.77(+29.1)#20098.38(+26.5)#4,147