Zip Codes with the Highest Female / Male Ratio in Maine

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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
Maine
Compare Zip Codes
Comparison Subject

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

50.00
250.00
Zip Codes with the Highest Female / Male Ratio in Maine Map

Zip Codes with the Highest Female / Male Ratio in Maine

Zip Code Females / 100 Males vs State vs National
1. 04675 245.83 102.74 (+143)#1 101.64 (+144)#229
2. 04341 245.45 102.74 (+143)#2 101.64 (+144)#231
3. 04019 243.75 102.74 (+141)#3 101.64 (+142)#235
4. 04975 227.27 102.74 (+125)#4 101.64 (+126)#282
5. 04431 205.00 102.74 (+102)#5 101.64 (+103)#374
6. 04985 163.79 102.74 (+61.1)#6 101.64 (+62.2)#770
7. 04625 160.00 102.74 (+57.3)#7 101.64 (+58.4)#840
8. 04538 156.95 102.74 (+54.2)#8 101.64 (+55.3)#902
9. 04063 150.81 102.74 (+48.1)#9 101.64 (+49.2)#1,051
10. 04066 141.20 102.74 (+38.5)#10 101.64 (+39.6)#1,394
11. 04982 137.68 102.74 (+34.9)#11 101.64 (+36.0)#1,555
12. 04923 136.20 102.74 (+33.5)#12 101.64 (+34.6)#1,640
13. 04085 135.38 102.74 (+32.6)#13 101.64 (+33.7)#1,691
14. 04544 134.89 102.74 (+32.1)#14 101.64 (+33.2)#1,716
15. 04677 134.43 102.74 (+31.7)#15 101.64 (+32.8)#1,738
16. 04216 133.83 102.74 (+31.1)#16 101.64 (+32.2)#1,777
17. 04642 133.82 102.74 (+31.1)#17 101.64 (+32.2)#1,778
18. 04781 133.18 102.74 (+30.4)#18 101.64 (+31.5)#1,844
19. 04050 133.06 102.74 (+30.3)#19 101.64 (+31.4)#1,853
20. 04693 132.09 102.74 (+29.3)#20 101.64 (+30.4)#1,921
21. 04417 131.25 102.74 (+28.5)#21 101.64 (+29.6)#1,986
22. 04030 131.12 102.74 (+28.4)#22 101.64 (+29.5)#1,999
23. 04679 130.86 102.74 (+28.1)#23 101.64 (+29.2)#2,022
24. 04614 130.40 102.74 (+27.7)#24 101.64 (+28.8)#2,075
25. 04674 130.15 102.74 (+27.4)#25 101.64 (+28.5)#2,096
26. 04761 129.06 102.74 (+26.3)#26 101.64 (+27.4)#2,188
27. 04669 128.57 102.74 (+25.8)#27 101.64 (+26.9)#2,248
28. 04476 128.24 102.74 (+25.5)#28 101.64 (+26.6)#2,286
29. 04631 128.06 102.74 (+25.3)#29 101.64 (+26.4)#2,313
30. 04785 127.36 102.74 (+24.6)#30 101.64 (+25.7)#2,386
31. 04847 126.93 102.74 (+24.2)#31 101.64 (+25.3)#2,442
32. 04551 126.39 102.74 (+23.6)#32 101.64 (+24.7)#2,508
33. 04987 125.82 102.74 (+23.1)#33 101.64 (+24.2)#2,570
34. 04556 125.77 102.74 (+23.0)#34 101.64 (+24.1)#2,574
35. 04758 125.04 102.74 (+22.3)#35 101.64 (+23.4)#2,670
36. 04478 124.34 102.74 (+21.6)#36 101.64 (+22.7)#2,773
37. 04965 122.95 102.74 (+20.2)#37 101.64 (+21.3)#2,986
38. 04858 122.93 102.74 (+20.2)#38 101.64 (+21.3)#2,988
39. 04841 122.34 102.74 (+19.6)#39 101.64 (+20.7)#3,098
40. 04354 121.59 102.74 (+18.9)#40 101.64 (+20.0)#3,252
41. 04543 121.49 102.74 (+18.7)#41 101.64 (+19.8)#3,272
42. 04773 121.47 102.74 (+18.7)#42 101.64 (+19.8)#3,274
43. 04613 121.43 102.74 (+18.7)#43 101.64 (+19.8)#3,287
44. 04666 121.04 102.74 (+18.3)#44 101.64 (+19.4)#3,372
45. 04660 120.84 102.74 (+18.1)#45 101.64 (+19.2)#3,407
46. 04056 120.83 102.74 (+18.1)#46 101.64 (+19.2)#3,413
47. 04041 120.67 102.74 (+17.9)#47 101.64 (+19.0)#3,445
48. 04426 120.66 102.74 (+17.9)#48 101.64 (+19.0)#3,449
49. 03906 120.59 102.74 (+17.8)#49 101.64 (+18.9)#3,466
50. 04231 120.31 102.74 (+17.6)#50 101.64 (+18.7)#3,522
51. 04862 120.15 102.74 (+17.4)#51 101.64 (+18.5)#3,558
52. 04079 119.98 102.74 (+17.2)#52 101.64 (+18.3)#3,594
53. 04938 119.82 102.74 (+17.1)#53 101.64 (+18.2)#3,624
54. 04915 119.81 102.74 (+17.1)#54 101.64 (+18.2)#3,629
55. 04743 119.37 102.74 (+16.6)#55 101.64 (+17.7)#3,725
56. 04961 119.16 102.74 (+16.4)#56 101.64 (+17.5)#3,775
57. 04108 119.13 102.74 (+16.4)#57 101.64 (+17.5)#3,782
58. 04983 118.96 102.74 (+16.2)#58 101.64 (+17.3)#3,826
59. 04349 118.82 102.74 (+16.1)#59 101.64 (+17.2)#3,857
60. 04927 118.69 102.74 (+16.0)#60 101.64 (+17.1)#3,892
61. 04412 118.44 102.74 (+15.7)#61 101.64 (+16.8)#3,966
62. 04087 118.42 102.74 (+15.7)#62 101.64 (+16.8)#3,973
63. 04222 117.84 102.74 (+15.1)#63 101.64 (+16.2)#4,131
64. 04539 117.74 102.74 (+15.0)#64 101.64 (+16.1)#4,164
65. 04653 117.39 102.74 (+14.6)#65 101.64 (+15.7)#4,265
66. 03904 115.60 102.74 (+12.9)#66 101.64 (+14.0)#4,839
67. 04562 115.49 102.74 (+12.8)#67 101.64 (+13.9)#4,874
68. 04967 115.37 102.74 (+12.6)#68 101.64 (+13.7)#4,932
69. 04284 115.09 102.74 (+12.3)#69 101.64 (+13.4)#5,035
70. 04657 114.67 102.74 (+11.9)#70 101.64 (+13.0)#5,186
71. 04258 114.62 102.74 (+11.9)#71 101.64 (+13.0)#5,207
72. 04772 114.29 102.74 (+11.5)#72 101.64 (+12.6)#5,339
73. 04576 114.22 102.74 (+11.5)#73 101.64 (+12.6)#5,377
74. 04038 114.07 102.74 (+11.3)#74 101.64 (+12.4)#5,430
75. 04051 114.01 102.74 (+11.3)#75 101.64 (+12.4)#5,451
76. 03905 113.98 102.74 (+11.2)#76 101.64 (+12.3)#5,464
77. 04652 113.28 102.74 (+10.5)#77 101.64 (+11.6)#5,749
78. 04027 113.22 102.74 (+10.5)#78 101.64 (+11.6)#5,774
79. 04086 113.00 102.74 (+10.3)#79 101.64 (+11.4)#5,870
80. 04103 112.98 102.74 (+10.2)#80 101.64 (+11.3)#5,883
81. 04547 112.83 102.74 (+10.1)#81 101.64 (+11.2)#5,964
82. 04363 112.80 102.74 (+10.1)#82 101.64 (+11.2)#5,978
83. 04646 112.77 102.74 (+10.0)#83 101.64 (+11.1)#5,997
84. 04010 112.32 102.74 (+9.57)#84 101.64 (+10.7)#6,212
85. 04535 112.22 102.74 (+9.47)#85 101.64 (+10.6)#6,275
86. 04612 112.12 102.74 (+9.38)#86 101.64 (+10.5)#6,313
87. 04107 112.10 102.74 (+9.36)#87 101.64 (+10.5)#6,325
88. 04032 111.94 102.74 (+9.19)#88 101.64 (+10.3)#6,397
89. 04450 111.75 102.74 (+9.00)#89 101.64 (+10.1)#6,490
90. 04073 111.73 102.74 (+8.98)#90 101.64 (+10.1)#6,507
91. 04971 111.61 102.74 (+8.87)#91 101.64 (+9.97)#6,564
92. 03909 111.44 102.74 (+8.70)#92 101.64 (+9.80)#6,641
93. 04769 111.32 102.74 (+8.58)#93 101.64 (+9.68)#6,696
94. 04096 111.09 102.74 (+8.35)#94 101.64 (+9.45)#6,832
95. 04573 111.01 102.74 (+8.27)#95 101.64 (+9.37)#6,875
96. 04760 110.95 102.74 (+8.20)#96 101.64 (+9.30)#6,908
97. 04694 110.56 102.74 (+7.82)#97 101.64 (+8.92)#7,152
98. 04224 110.56 102.74 (+7.81)#98 101.64 (+8.91)#7,156
99. 04430 110.23 102.74 (+7.49)#99 101.64 (+8.59)#7,323
100. 04347 110.19 102.74 (+7.45)#100 101.64 (+8.55)#7,352

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Maine?
Top 10 Zip Codes with the Highest Female / Male Ratio in Maine are:
#1
245.83
#2
245.45
#3
243.75
#4
227.27
#5
205.00
#6
163.79
#7
160.00
#8
156.95
#9
150.81
#10
141.20
What zip code has the Highest Female / Male Ratio in Maine?
04675 has the Highest Female / Male Ratio in Maine with 245.83.
What is the Famale to Male Ratio in the State of Maine?
Famale to Male Ratio in Maine is 102.74.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.