Zip Codes with the Highest Male / Female Ratio in Maine

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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
Maine
Compare Zip Codes
Comparison Subject

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

0.00
600.00
Zip Codes with the Highest Male / Female Ratio in Maine Map

Zip Codes with the Highest Male / Female Ratio in Maine

Zip Code Males / 100 Females vs State vs National
1.04764600.0097.33(+503)#198.38(+502)#126
2.04635233.3397.33(+136)#298.38(+135)#503
3.04489227.0097.33(+130)#398.38(+129)#540
4.04359216.5097.33(+119)#498.38(+118)#611
5.04852190.2497.33(+92.9)#598.38(+91.9)#874
6.04645186.6797.33(+89.3)#698.38(+88.3)#924
7.04964178.0597.33(+80.7)#798.38(+79.7)#1,056
8.04864176.2597.33(+78.9)#898.38(+77.9)#1,088
9.04237168.9797.33(+71.6)#998.38(+70.6)#1,232
10.04415168.3297.33(+71.0)#1098.38(+69.9)#1,251
11.04984168.2597.33(+70.9)#1198.38(+69.9)#1,255
12.04421163.6097.33(+66.3)#1298.38(+65.2)#1,361
13.04855158.2597.33(+60.9)#1398.38(+59.9)#1,500
14.04267157.1497.33(+59.8)#1498.38(+58.8)#1,551
15.04029152.6497.33(+55.3)#1598.38(+54.3)#1,710
16.04944151.6197.33(+54.3)#1698.38(+53.2)#1,752
17.04454150.0097.33(+52.7)#1798.38(+51.6)#1,852
18.04911149.5397.33(+52.2)#1898.38(+51.1)#1,866
19.04733147.6997.33(+50.4)#1998.38(+49.3)#1,964
20.04285145.6897.33(+48.3)#2098.38(+47.3)#2,063
21.04408145.0097.33(+47.7)#2198.38(+46.6)#2,099
22.04265142.8697.33(+45.5)#2298.38(+44.5)#2,207
23.04095141.9897.33(+44.7)#2398.38(+43.6)#2,264
24.04464141.6797.33(+44.3)#2498.38(+43.3)#2,290
25.04461141.0297.33(+43.7)#2598.38(+42.6)#2,336
26.04451140.9197.33(+43.6)#2698.38(+42.5)#2,341
27.04485140.7997.33(+43.5)#2798.38(+42.4)#2,347
28.04475139.3497.33(+42.0)#2898.38(+41.0)#2,460
29.04740138.1997.33(+40.9)#2998.38(+39.8)#2,539
30.04422137.3197.33(+40.0)#3098.38(+38.9)#2,607
31.04442136.8497.33(+39.5)#3198.38(+38.5)#2,656
32.04227136.8497.33(+39.5)#3298.38(+38.5)#2,657
33.04492136.5997.33(+39.3)#3398.38(+38.2)#2,690
34.04055135.4997.33(+38.2)#3498.38(+37.1)#2,812
35.04947134.9197.33(+37.6)#3598.38(+36.5)#2,862
36.04735134.4797.33(+37.1)#3698.38(+36.1)#2,906
37.04920131.5597.33(+34.2)#3798.38(+33.2)#3,223
38.04986131.2697.33(+33.9)#3898.38(+32.9)#3,246
39.04109131.1597.33(+33.8)#3998.38(+32.8)#3,258
40.04434130.3397.33(+33.0)#4098.38(+31.9)#3,363
41.04001130.0697.33(+32.7)#4198.38(+31.7)#3,399
42.04487130.0397.33(+32.7)#4298.38(+31.6)#3,403
43.04497130.0097.33(+32.7)#4398.38(+31.6)#3,407
44.04061129.2497.33(+31.9)#4498.38(+30.9)#3,502
45.04578128.9697.33(+31.6)#4598.38(+30.6)#3,527
46.04406128.2397.33(+30.9)#4698.38(+29.8)#3,643
47.04490126.6797.33(+29.3)#4798.38(+28.3)#3,871
48.04924126.3497.33(+29.0)#4898.38(+28.0)#3,924
49.04360125.2697.33(+27.9)#4998.38(+26.9)#4,073
50.04348125.1697.33(+27.8)#5098.38(+26.8)#4,081
51.04942125.1597.33(+27.8)#5198.38(+26.8)#4,083
52.04673124.1097.33(+26.8)#5298.38(+25.7)#4,295
53.04853124.0097.33(+26.7)#5398.38(+25.6)#4,317
54.04413123.6897.33(+26.4)#5498.38(+25.3)#4,369
55.04003123.6497.33(+26.3)#5598.38(+25.3)#4,376
56.04928123.3297.33(+26.0)#5698.38(+24.9)#4,419
57.04261122.1497.33(+24.8)#5798.38(+23.8)#4,652
58.04275122.0297.33(+24.7)#5898.38(+23.6)#4,678
59.04020121.2997.33(+24.0)#5998.38(+22.9)#4,845
60.04541120.0097.33(+22.7)#6098.38(+21.6)#5,145
61.04766119.4697.33(+22.1)#6198.38(+21.1)#5,277
62.04441119.3097.33(+22.0)#6298.38(+20.9)#5,314
63.04611119.2397.33(+21.9)#6398.38(+20.8)#5,329
64.04429119.0497.33(+21.7)#6498.38(+20.7)#5,372
65.04456118.3497.33(+21.0)#6598.38(+20.0)#5,536
66.04952117.8897.33(+20.6)#6698.38(+19.5)#5,672
67.04414117.7097.33(+20.4)#6798.38(+19.3)#5,727
68.04355117.4697.33(+20.1)#6898.38(+19.1)#5,799
69.04745117.4697.33(+20.1)#6998.38(+19.1)#5,800
70.03902117.4397.33(+20.1)#7098.38(+19.0)#5,810
71.04667117.4197.33(+20.1)#7198.38(+19.0)#5,814
72.04685117.1997.33(+19.9)#7298.38(+18.8)#5,881
73.04686117.0597.33(+19.7)#7398.38(+18.7)#5,925
74.04912116.9097.33(+19.6)#7498.38(+18.5)#5,967
75.04742116.7697.33(+19.4)#7598.38(+18.4)#6,016
76.04973116.3697.33(+19.0)#7698.38(+18.0)#6,158
77.04435116.2797.33(+18.9)#7798.38(+17.9)#6,190
78.04563115.9397.33(+18.6)#7898.38(+17.5)#6,279
79.04537115.9297.33(+18.6)#7998.38(+17.5)#6,286
80.04471115.8797.33(+18.5)#8098.38(+17.5)#6,302
81.04259115.4197.33(+18.1)#8198.38(+17.0)#6,452
82.04410114.9997.33(+17.7)#8298.38(+16.6)#6,598
83.04768114.5997.33(+17.3)#8398.38(+16.2)#6,734
84.04048114.4197.33(+17.1)#8498.38(+16.0)#6,800
85.04219114.3697.33(+17.0)#8598.38(+16.0)#6,820
86.04649113.8397.33(+16.5)#8698.38(+15.4)#7,021
87.04680113.3397.33(+16.0)#8798.38(+14.9)#7,205
88.04776113.1797.33(+15.8)#8898.38(+14.8)#7,261
89.04357113.0197.33(+15.7)#8998.38(+14.6)#7,318
90.04473112.9097.33(+15.6)#9098.38(+14.5)#7,349
91.04453112.7197.33(+15.4)#9198.38(+14.3)#7,421
92.04217112.6497.33(+15.3)#9298.38(+14.3)#7,457
93.04648112.5497.33(+15.2)#9398.38(+14.2)#7,491
94.04966112.4897.33(+15.2)#9498.38(+14.1)#7,532
95.04260112.3297.33(+15.0)#9598.38(+13.9)#7,600
96.04472112.2397.33(+14.9)#9698.38(+13.8)#7,633
97.04255112.0497.33(+14.7)#9798.38(+13.7)#7,724
98.04622111.7197.33(+14.4)#9898.38(+13.3)#7,848
99.04750111.6597.33(+14.3)#9998.38(+13.3)#7,875
100.04254111.5497.33(+14.2)#10098.38(+13.2)#7,919

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Maine?
Top 10 Zip Codes with the Highest Male / Female Ratio in Maine are:
#1
600.00
#2
233.33
#3
227.00
#4
216.50
#5
190.24
#6
186.67
#7
178.05
#8
176.25
#9
168.97
#10
168.32
What zip code has the Highest Male / Female Ratio in Maine?
04764 has the Highest Male / Female Ratio in Maine with 600.00.
What is the Male to Female Ratio in the State of Maine?
Male to Female Ratio in Maine is 97.33.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.