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

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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

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

0.00
15,000.00
Zip Codes with the Highest Male / Female Ratio in New York Map

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

Zip Code Males / 100 Females vs State vs National
1.1455613,055.5695.77(+13.0k)#198.38(+13.0k)#9
2.1297711,936.3695.77(+11.8k)#298.38(+11.8k)#11
3.105403,700.0095.77(+3.60k)#398.38(+3.60k)#19
4.133521,350.0095.77(+1.25k)#498.38(+1.25k)#44
5.128211,323.9595.77(+1.23k)#598.38(+1.23k)#45
6.13602944.0395.77(+848)#698.38(+846)#65
7.14614617.2095.77(+521)#798.38(+519)#114
8.13826600.0095.77(+504)#898.38(+502)#121
9.10985600.0095.77(+504)#998.38(+502)#122
10.14027580.0095.77(+484)#1098.38(+482)#129
11.12929575.7995.77(+480)#1198.38(+477)#132
12.11973550.0095.77(+454)#1298.38(+452)#137
13.13138531.8295.77(+436)#1398.38(+433)#145
14.13738528.5795.77(+433)#1498.38(+430)#146
15.13134500.0095.77(+404)#1598.38(+402)#155
16.12493458.6295.77(+363)#1698.38(+360)#174
17.13678452.6395.77(+357)#1798.38(+354)#177
18.14788447.3795.77(+352)#1898.38(+349)#181
19.12733446.8595.77(+351)#1998.38(+348)#182
20.13450334.4895.77(+239)#2098.38(+236)#265
21.12132329.0395.77(+233)#2198.38(+231)#275
22.12424327.8795.77(+232)#2298.38(+229)#276
23.12040300.0095.77(+204)#2398.38(+202)#328
24.13639300.0095.77(+204)#2498.38(+202)#329
25.14722278.0095.77(+182)#2598.38(+180)#364
26.13360255.5695.77(+160)#2698.38(+157)#419
27.13455253.8595.77(+158)#2798.38(+155)#425
28.14413248.0095.77(+152)#2898.38(+150)#445
29.12458246.6395.77(+151)#2998.38(+148)#449
30.12465242.8695.77(+147)#3098.38(+144)#465
31.14169233.3395.77(+138)#3198.38(+135)#498
32.12750227.2795.77(+132)#3298.38(+129)#539
33.12475217.2495.77(+121)#3398.38(+119)#606
34.12448215.5695.77(+120)#3498.38(+117)#621
35.12792215.0995.77(+119)#3598.38(+117)#627
36.10914212.2095.77(+116)#3698.38(+114)#654
37.12416205.9795.77(+110)#3798.38(+108)#691
38.12051203.8795.77(+108)#3898.38(+105)#713
39.13418202.8695.77(+107)#3998.38(+104)#722
40.13301200.0095.77(+104)#4098.38(+102)#743
41.13814200.0095.77(+104)#4198.38(+102)#753
42.12864200.0095.77(+104)#4298.38(+102)#756
43.12970199.3695.77(+104)#4398.38(+101)#763
44.10963194.5195.77(+98.7)#4498.38(+96.1)#823
45.12429194.2395.77(+98.5)#4598.38(+95.8)#826
46.12939193.7595.77(+98.0)#4698.38(+95.4)#830
47.13752192.2695.77(+96.5)#4798.38(+93.9)#847
48.12788191.9895.77(+96.2)#4898.38(+93.6)#851
49.13457190.9195.77(+95.1)#4998.38(+92.5)#865
50.13403187.1695.77(+91.4)#5098.38(+88.8)#919
51.11430186.2195.77(+90.4)#5198.38(+87.8)#927
52.13847183.3395.77(+87.6)#5298.38(+84.9)#971
53.14541182.8495.77(+87.1)#5398.38(+84.5)#978
54.10922182.6895.77(+86.9)#5498.38(+84.3)#980
55.14529182.3595.77(+86.6)#5598.38(+84.0)#986
56.10578182.0295.77(+86.2)#5698.38(+83.6)#993
57.12460179.2295.77(+83.4)#5798.38(+80.8)#1,038
58.13103179.0195.77(+83.2)#5898.38(+80.6)#1,041
59.12910178.5895.77(+82.8)#5998.38(+80.2)#1,048
60.13310177.1595.77(+81.4)#6098.38(+78.8)#1,073
61.12441176.3295.77(+80.5)#6198.38(+77.9)#1,085
62.14011176.0895.77(+80.3)#6298.38(+77.7)#1,095
63.12007175.4295.77(+79.7)#6398.38(+77.0)#1,111
64.12410174.1795.77(+78.4)#6498.38(+75.8)#1,133
65.13102173.6895.77(+77.9)#6598.38(+75.3)#1,140
66.14061173.5395.77(+77.8)#6698.38(+75.1)#1,142
67.10596169.8395.77(+74.1)#6798.38(+71.4)#1,206
68.12820168.4295.77(+72.6)#6898.38(+70.0)#1,247
69.14102167.6395.77(+71.9)#6998.38(+69.2)#1,267
70.12517166.6795.77(+70.9)#7098.38(+68.3)#1,288
71.06390165.0095.77(+69.2)#7198.38(+66.6)#1,328
72.12922164.2995.77(+68.5)#7298.38(+65.9)#1,346
73.13740164.1595.77(+68.4)#7398.38(+65.8)#1,347
74.14034163.9795.77(+68.2)#7498.38(+65.6)#1,351
75.12495163.6495.77(+67.9)#7598.38(+65.3)#1,359
76.12915163.6495.77(+67.9)#7698.38(+65.3)#1,360
77.10919162.7695.77(+67.0)#7798.38(+64.4)#1,387
78.13441161.1895.77(+65.4)#7898.38(+62.8)#1,420
79.12582160.6995.77(+64.9)#7998.38(+62.3)#1,435
80.11770160.4795.77(+64.7)#8198.38(+62.1)#1,444
81.14130160.4795.77(+64.7)#8298.38(+62.1)#1,445
82.14515160.3895.77(+64.6)#8398.38(+62.0)#1,447
83.12760159.1595.77(+63.4)#8498.38(+60.8)#1,475
84.14872158.1095.77(+62.3)#8598.38(+59.7)#1,505
85.12843157.7995.77(+62.0)#8698.38(+59.4)#1,513
86.12451157.7895.77(+62.0)#8798.38(+59.4)#1,514
87.12444157.4295.77(+61.6)#8898.38(+59.0)#1,533
88.12165157.1495.77(+61.4)#8998.38(+58.8)#1,544
89.14732157.1495.77(+61.4)#9098.38(+58.8)#1,552
90.12814156.7995.77(+61.0)#9198.38(+58.4)#1,565
91.14717156.3695.77(+60.6)#9298.38(+58.0)#1,577
92.14877155.2295.77(+59.5)#9398.38(+56.8)#1,625
93.13044154.9395.77(+59.2)#9498.38(+56.5)#1,636
94.12207154.5895.77(+58.8)#9598.38(+56.2)#1,648
95.13786154.1795.77(+58.4)#9698.38(+55.8)#1,660
96.12407153.8595.77(+58.1)#9798.38(+55.5)#1,666
97.12406152.1495.77(+56.4)#9898.38(+53.8)#1,736
98.13784151.2895.77(+55.5)#9998.38(+52.9)#1,768
99.12435151.0995.77(+55.3)#10098.38(+52.7)#1,778
100.12115150.0095.77(+54.2)#10198.38(+51.6)#1,838

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in New York?
Top 10 Zip Codes with the Highest Male / Female Ratio in New York are:
#1
13,055.56
#2
11,936.36
#3
3,700.00
#4
1,350.00
#5
1,323.95
#6
944.03
#7
617.20
#8
600.00
#9
600.00
#10
580.00
What zip code has the Highest Male / Female Ratio in New York?
14556 has the Highest Male / Female Ratio in New York with 13,055.56.
What is the Male to Female Ratio in the State of New York?
Male to Female Ratio in New York is 95.77.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.