Zip Codes with the Highest Male / Female Ratio in Alabama

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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
Alabama
Compare Zip Codes
Comparison Subject

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

0.00
8,000.00
Zip Codes with the Highest Male / Female Ratio in Alabama Map

Zip Codes with the Highest Male / Female Ratio in Alabama

Zip Code Males / 100 Females vs State vs National
1.365036,710.5394.73(+6.62k)#198.38(+6.61k)#16
2.364541,400.0094.73(+1.31k)#298.38(+1.30k)#41
3.35477850.0094.73(+755)#398.38(+752)#78
4.36112602.9494.73(+508)#498.38(+505)#120
5.35013546.6794.73(+452)#598.38(+448)#140
6.36568431.2594.73(+337)#698.38(+333)#188
7.35559400.0094.73(+305)#798.38(+302)#203
8.35457292.3194.73(+198)#898.38(+194)#339
9.35249250.0094.73(+155)#998.38(+152)#440
10.36017220.1494.73(+125)#1098.38(+122)#584
11.36473216.6794.73(+122)#1198.38(+118)#608
12.36722216.1394.73(+121)#1298.38(+118)#618
13.35443215.3194.73(+121)#1398.38(+117)#625
14.35745209.3894.73(+115)#1498.38(+111)#673
15.36267204.1194.73(+109)#1598.38(+106)#710
16.35746197.6194.73(+103)#1698.38(+99.2)#786
17.36025196.1794.73(+101)#1798.38(+97.8)#810
18.36113185.3894.73(+90.6)#1898.38(+87.0)#941
19.35203180.8794.73(+86.1)#1998.38(+82.5)#1,013
20.36115180.5794.73(+85.8)#2098.38(+82.2)#1,019
21.35751178.4194.73(+83.7)#2198.38(+80.0)#1,051
22.36039177.6694.73(+82.9)#2298.38(+79.3)#1,066
23.36446171.6994.73(+77.0)#2398.38(+73.3)#1,171
24.36016167.6194.73(+72.9)#2498.38(+69.2)#1,268
25.35543166.1194.73(+71.4)#2598.38(+67.7)#1,304
26.35034163.7194.73(+69.0)#2698.38(+65.3)#1,355
27.35610162.6994.73(+68.0)#2798.38(+64.3)#1,389
28.35487162.0494.73(+67.3)#2898.38(+63.7)#1,403
29.36792157.2394.73(+62.5)#2998.38(+58.9)#1,538
30.36879154.4594.73(+59.7)#3098.38(+56.1)#1,651
31.35181154.2994.73(+59.6)#3198.38(+55.9)#1,658
32.35542150.4694.73(+55.7)#3298.38(+52.1)#1,808
33.36793149.7194.73(+55.0)#3398.38(+51.3)#1,859
34.36723147.2894.73(+52.6)#3498.38(+48.9)#1,987
35.35584145.3594.73(+50.6)#3598.38(+47.0)#2,081
36.36052144.2094.73(+49.5)#3698.38(+45.8)#2,136
37.36790143.8494.73(+49.1)#3798.38(+45.5)#2,158
38.36736141.7594.73(+47.0)#3898.38(+43.4)#2,284
39.36766137.5094.73(+42.8)#3998.38(+39.1)#2,592
40.35172136.6494.73(+41.9)#4098.38(+38.3)#2,682
41.36471136.0094.73(+41.3)#4198.38(+37.6)#2,740
42.35469135.6594.73(+40.9)#4298.38(+37.3)#2,797
43.36435134.0594.73(+39.3)#4398.38(+35.7)#2,949
44.35953132.8594.73(+38.1)#4498.38(+34.5)#3,088
45.36374132.5294.73(+37.8)#4598.38(+34.1)#3,123
46.35083130.7194.73(+36.0)#4698.38(+32.3)#3,320
47.35764130.4094.73(+35.7)#4798.38(+32.0)#3,356
48.35989129.8394.73(+35.1)#4898.38(+31.4)#3,429
49.35979129.6394.73(+34.9)#4998.38(+31.2)#3,450
50.36318128.8294.73(+34.1)#5098.38(+30.4)#3,547
51.35085128.5894.73(+33.8)#5198.38(+30.2)#3,571
52.36550128.5794.73(+33.8)#5298.38(+30.2)#3,576
53.36572128.4194.73(+33.7)#5398.38(+30.0)#3,609
54.35647128.4194.73(+33.7)#5498.38(+30.0)#3,611
55.36581127.4594.73(+32.7)#5598.38(+29.1)#3,758
56.35984126.9894.73(+32.3)#5698.38(+28.6)#3,830
57.35808126.0294.73(+31.3)#5798.38(+27.6)#3,971
58.36742124.9894.73(+30.3)#5898.38(+26.6)#4,134
59.35461124.6494.73(+29.9)#5998.38(+26.3)#4,190
60.35466123.7494.73(+29.0)#6098.38(+25.4)#4,360
61.36263123.1894.73(+28.4)#6198.38(+24.8)#4,440
62.36538123.0894.73(+28.3)#6298.38(+24.7)#4,463
63.35576122.3194.73(+27.6)#6398.38(+23.9)#4,619
64.36042122.2494.73(+27.5)#6498.38(+23.9)#4,629
65.36362122.1294.73(+27.4)#6598.38(+23.7)#4,656
66.35143121.8994.73(+27.2)#6698.38(+23.5)#4,701
67.35070121.8294.73(+27.1)#6798.38(+23.4)#4,720
68.35749121.2094.73(+26.5)#6898.38(+22.8)#4,865
69.35051121.0194.73(+26.3)#6998.38(+22.6)#4,903
70.35490120.6594.73(+25.9)#7098.38(+22.3)#4,987
71.36548120.2294.73(+25.5)#7198.38(+21.8)#5,089
72.35118119.1094.73(+24.4)#7298.38(+20.7)#5,358
73.36530119.0794.73(+24.3)#7398.38(+20.7)#5,364
74.35774118.5294.73(+23.8)#7498.38(+20.1)#5,487
75.35986118.2994.73(+23.6)#7598.38(+19.9)#5,550
76.35545118.0394.73(+23.3)#7698.38(+19.6)#5,625
77.36551117.9894.73(+23.2)#7798.38(+19.6)#5,639
78.35958117.7494.73(+23.0)#7898.38(+19.4)#5,715
79.35614117.7094.73(+23.0)#7998.38(+19.3)#5,726
80.35033116.9194.73(+22.2)#8098.38(+18.5)#5,963
81.35739116.8394.73(+22.1)#8198.38(+18.4)#5,995
82.36451116.7594.73(+22.0)#8298.38(+18.4)#6,023
83.35183116.3194.73(+21.6)#8398.38(+17.9)#6,174
84.35981116.2994.73(+21.6)#8498.38(+17.9)#6,181
85.36089115.6094.73(+20.9)#8598.38(+17.2)#6,385
86.35146115.5694.73(+20.8)#8698.38(+17.2)#6,395
87.36663115.3894.73(+20.7)#8798.38(+17.0)#6,461
88.36579115.2794.73(+20.5)#8898.38(+16.9)#6,500
89.35766114.9194.73(+20.2)#8998.38(+16.5)#6,614
90.35553114.0594.73(+19.3)#9098.38(+15.7)#6,938
91.36602112.8494.73(+18.1)#9198.38(+14.5)#7,362
92.36541112.6694.73(+17.9)#9298.38(+14.3)#7,449
93.35213112.5694.73(+17.8)#9398.38(+14.2)#7,485
94.35447112.2894.73(+17.6)#9498.38(+13.9)#7,614
95.36104112.2394.73(+17.5)#9598.38(+13.8)#7,634
96.36020112.1894.73(+17.5)#9698.38(+13.8)#7,654
97.36832112.0994.73(+17.4)#9798.38(+13.7)#7,696
98.36475111.7994.73(+17.1)#9898.38(+13.4)#7,817
99.35952111.6494.73(+16.9)#9998.38(+13.3)#7,882
100.36255111.5094.73(+16.8)#10098.38(+13.1)#7,945

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Alabama?
Top 10 Zip Codes with the Highest Male / Female Ratio in Alabama are:
#1
6,710.53
#2
1,400.00
#3
850.00
#4
602.94
#5
546.67
#6
431.25
#7
400.00
#8
292.31
#9
250.00
#10
220.14
What zip code has the Highest Male / Female Ratio in Alabama?
36503 has the Highest Male / Female Ratio in Alabama with 6,710.53.
What is the Male to Female Ratio in the State of Alabama?
Male to Female Ratio in Alabama is 94.73.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.