Zip Codes with the Highest Male / Female Ratio in Michigan

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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
Michigan
Compare Zip Codes
Comparison Subject

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

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5,000.00
Zip Codes with the Highest Male / Female Ratio in Michigan Map

Zip Codes with the Highest Male / Female Ratio in Michigan

Zip Code Males / 100 Females vs State vs National
1.497844,814.8198.61(+4.72k)#198.38(+4.72k)#18
2.49084550.0098.61(+451)#298.38(+452)#138
3.49258400.0098.61(+301)#398.38(+302)#205
4.49942360.0098.61(+261)#498.38(+262)#236
5.49752268.8498.61(+170)#598.38(+170)#381
6.49863244.4498.61(+146)#698.38(+146)#459
7.48502239.2398.61(+141)#798.38(+141)#483
8.49409230.0098.61(+131)#898.38(+132)#522
9.49955220.7198.61(+122)#998.38(+122)#581
10.49864220.0098.61(+121)#1098.38(+122)#590
11.48880216.0898.61(+117)#1198.38(+118)#619
12.49917212.0098.61(+113)#1298.38(+114)#656
13.48811188.6998.61(+90.1)#1398.38(+90.3)#898
14.49063185.7198.61(+87.1)#1498.38(+87.3)#932
15.49757185.3298.61(+86.7)#1598.38(+86.9)#942
16.48896185.1198.61(+86.5)#1698.38(+86.7)#948
17.49430177.7898.61(+79.2)#1798.38(+79.4)#1,063
18.49959168.9998.61(+70.4)#1898.38(+70.6)#1,231
19.49312166.6798.61(+68.1)#1998.38(+68.3)#1,290
20.49883162.1298.61(+63.5)#2098.38(+63.7)#1,400
21.49822161.6398.61(+63.0)#2198.38(+63.2)#1,414
22.49443157.6998.61(+59.1)#2298.38(+59.3)#1,518
23.49862157.6398.61(+59.0)#2398.38(+59.2)#1,520
24.49908157.5998.61(+59.0)#2498.38(+59.2)#1,524
25.49921156.7498.61(+58.1)#2598.38(+58.4)#1,569
26.48860154.1398.61(+55.5)#2698.38(+55.7)#1,662
27.48743153.3398.61(+54.7)#2798.38(+54.9)#1,686
28.49654152.5298.61(+53.9)#2898.38(+54.1)#1,715
29.49736149.7498.61(+51.1)#2998.38(+51.4)#1,858
30.48226148.7898.61(+50.2)#3098.38(+50.4)#1,906
31.49931148.7298.61(+50.1)#3198.38(+50.3)#1,907
32.49919146.3498.61(+47.7)#3298.38(+48.0)#2,033
33.48846145.5898.61(+47.0)#3398.38(+47.2)#2,068
34.49760143.5198.61(+44.9)#3498.38(+45.1)#2,172
35.48613143.3398.61(+44.7)#3598.38(+44.9)#2,184
36.49947142.7798.61(+44.2)#3698.38(+44.4)#2,217
37.49793142.3198.61(+43.7)#3798.38(+43.9)#2,244
38.49934141.4998.61(+42.9)#3898.38(+43.1)#2,304
39.48630141.3898.61(+42.8)#3998.38(+43.0)#2,309
40.49788141.1398.61(+42.5)#4098.38(+42.7)#2,329
41.49066140.6798.61(+42.1)#4198.38(+42.3)#2,356
42.48766140.2698.61(+41.6)#4298.38(+41.9)#2,386
43.49831140.0898.61(+41.5)#4398.38(+41.7)#2,394
44.49628139.3698.61(+40.8)#4498.38(+41.0)#2,455
45.49961138.9898.61(+40.4)#4598.38(+40.6)#2,481
46.49838136.9798.61(+38.4)#4698.38(+38.6)#2,641
47.49880136.9598.61(+38.3)#4798.38(+38.6)#2,645
48.49808136.5798.61(+38.0)#4898.38(+38.2)#2,692
49.49796135.8598.61(+37.2)#4998.38(+37.5)#2,761
50.48432135.0998.61(+36.5)#5098.38(+36.7)#2,846
51.49027134.7198.61(+36.1)#5198.38(+36.3)#2,876
52.49893134.6698.61(+36.0)#5298.38(+36.3)#2,882
53.48728134.1198.61(+35.5)#5398.38(+35.7)#2,943
54.48048133.2698.61(+34.7)#5498.38(+34.9)#3,047
55.48856133.1698.61(+34.5)#5598.38(+34.8)#3,053
56.49963132.4498.61(+33.8)#5698.38(+34.1)#3,131
57.49201132.0098.61(+33.4)#5798.38(+33.6)#3,178
58.49450131.6298.61(+33.0)#5898.38(+33.2)#3,217
59.49644131.3398.61(+32.7)#5998.38(+32.9)#3,241
60.49967131.1798.61(+32.6)#6098.38(+32.8)#3,257
61.48426130.6398.61(+32.0)#6198.38(+32.2)#3,326
62.48401130.5998.61(+32.0)#6298.38(+32.2)#3,329
63.49929130.5398.61(+31.9)#6398.38(+32.1)#3,336
64.48841130.0098.61(+31.4)#6498.38(+31.6)#3,406
65.49318129.4198.61(+30.8)#6598.38(+31.0)#3,478
66.49805129.3398.61(+30.7)#6698.38(+30.9)#3,489
67.48064129.1598.61(+30.5)#6798.38(+30.8)#3,513
68.49818128.9798.61(+30.4)#6898.38(+30.6)#3,525
69.48139128.2198.61(+29.6)#6998.38(+29.8)#3,645
70.49267128.1298.61(+29.5)#7098.38(+29.7)#3,657
71.49304127.9698.61(+29.4)#7198.38(+29.6)#3,680
72.48002127.8198.61(+29.2)#7298.38(+29.4)#3,712
73.48028127.7398.61(+29.1)#7398.38(+29.3)#3,723
74.49777127.4398.61(+28.8)#7498.38(+29.0)#3,761
75.48179127.3898.61(+28.8)#7598.38(+29.0)#3,768
76.49425127.3398.61(+28.7)#7698.38(+28.9)#3,777
77.49259127.2798.61(+28.7)#7798.38(+28.9)#3,791
78.49636127.2498.61(+28.6)#7898.38(+28.9)#3,795
79.49111127.2298.61(+28.6)#7998.38(+28.8)#3,799
80.49705127.1898.61(+28.6)#8098.38(+28.8)#3,804
81.49460127.0698.61(+28.5)#8198.38(+28.7)#3,819
82.48754126.8198.61(+28.2)#8298.38(+28.4)#3,852
83.49745126.7398.61(+28.1)#8398.38(+28.3)#3,862
84.49795126.4198.61(+27.8)#8498.38(+28.0)#3,916
85.48627126.3298.61(+27.7)#8598.38(+27.9)#3,931
86.49411125.5498.61(+26.9)#8698.38(+27.2)#4,035
87.49968125.2498.61(+26.6)#8798.38(+26.9)#4,075
88.49322124.9098.61(+26.3)#8898.38(+26.5)#4,148
89.49302124.5698.61(+26.0)#8998.38(+26.2)#4,205
90.49833124.5398.61(+25.9)#9098.38(+26.1)#4,210
91.48623123.7498.61(+25.1)#9198.38(+25.4)#4,362
92.48468123.6798.61(+25.1)#9298.38(+25.3)#4,373
93.48440123.5398.61(+24.9)#9398.38(+25.1)#4,394
94.49264122.8398.61(+24.2)#9498.38(+24.4)#4,516
95.49725122.5698.61(+23.9)#9598.38(+24.2)#4,572
96.49922122.0098.61(+23.4)#9698.38(+23.6)#4,682
97.49234121.8498.61(+23.2)#9798.38(+23.5)#4,714
98.48850121.7698.61(+23.2)#9898.38(+23.4)#4,736
99.48417121.5898.61(+23.0)#9998.38(+23.2)#4,771
100.49872121.5798.61(+23.0)#10098.38(+23.2)#4,774

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Michigan?
Top 10 Zip Codes with the Highest Male / Female Ratio in Michigan are:
#1
4,814.81
#2
550.00
#3
400.00
#4
360.00
#5
268.84
#6
244.44
#7
239.23
#8
230.00
#9
220.71
#10
220.00
What zip code has the Highest Male / Female Ratio in Michigan?
49784 has the Highest Male / Female Ratio in Michigan with 4,814.81.
What is the Male to Female Ratio in the State of Michigan?
Male to Female Ratio in Michigan is 98.61.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.