Zip Codes with the Highest Female / Male Ratio in Michigan

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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
Michigan
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Female / Male Ratio in Michigan

Zip Code Females / 100 Males vs State vs National
1.49877233.33101.41(+132)#1101.64(+132)#260
2.49075225.49101.41(+124)#2101.64(+124)#288
3.49074218.57101.41(+117)#3101.64(+117)#313
4.49119204.55101.41(+103)#4101.64(+103)#377
5.49282195.83101.41(+94.4)#5101.64(+94.2)#430
6.49775193.33101.41(+91.9)#6101.64(+91.7)#451
7.49634177.42101.41(+76.0)#7101.64(+75.8)#585
8.49960172.29101.41(+70.9)#8101.64(+70.6)#644
9.48437171.88101.41(+70.5)#9101.64(+70.2)#652
10.49335169.23101.41(+67.8)#10101.64(+67.6)#687
11.48109167.02101.41(+65.6)#11101.64(+65.4)#712
12.49918163.16101.41(+61.7)#12101.64(+61.5)#779
13.48143155.41101.41(+54.0)#13101.64(+53.8)#932
14.49674154.67101.41(+53.3)#14101.64(+53.0)#950
15.48529150.74101.41(+49.3)#15101.64(+49.1)#1,053
16.48859149.74101.41(+48.3)#16101.64(+48.1)#1,094
17.48724144.92101.41(+43.5)#17101.64(+43.3)#1,251
18.49115144.44101.41(+43.0)#18101.64(+42.8)#1,268
19.49283137.73101.41(+36.3)#19101.64(+36.1)#1,551
20.49261135.59101.41(+34.2)#20101.64(+34.0)#1,675
21.48633134.55101.41(+33.1)#21101.64(+32.9)#1,733
22.49744134.38101.41(+33.0)#22101.64(+32.7)#1,739
23.49440133.27101.41(+31.9)#23101.64(+31.6)#1,841
24.49060129.43101.41(+28.0)#24101.64(+27.8)#2,160
25.49619128.60101.41(+27.2)#25101.64(+27.0)#2,242
26.49894128.57101.41(+27.2)#26101.64(+26.9)#2,245
27.48177128.40101.41(+27.0)#27101.64(+26.8)#2,273
28.48235126.92101.41(+25.5)#28101.64(+25.3)#2,445
29.49881125.95101.41(+24.5)#29101.64(+24.3)#2,551
30.49902125.81101.41(+24.4)#30101.64(+24.2)#2,572
31.48207125.23101.41(+23.8)#31101.64(+23.6)#2,647
32.49102123.68101.41(+22.3)#32101.64(+22.0)#2,870
33.48532123.67101.41(+22.3)#33101.64(+22.0)#2,871
34.49202123.16101.41(+21.7)#34101.64(+21.5)#2,945
35.48476122.88101.41(+21.5)#35101.64(+21.2)#2,996
36.48034122.80101.41(+21.4)#36101.64(+21.2)#3,009
37.48832122.69101.41(+21.3)#37101.64(+21.0)#3,032
38.48190122.62101.41(+21.2)#38101.64(+21.0)#3,046
39.48221122.31101.41(+20.9)#39101.64(+20.7)#3,109
40.48721122.22101.41(+20.8)#40101.64(+20.6)#3,129
41.49696121.98101.41(+20.6)#41101.64(+20.3)#3,173
42.48733121.86101.41(+20.4)#42101.64(+20.2)#3,200
43.49089121.52101.41(+20.1)#43101.64(+19.9)#3,267
44.48227121.24101.41(+19.8)#44101.64(+19.6)#3,327
45.48370120.59101.41(+19.2)#45101.64(+18.9)#3,467
46.48033120.33101.41(+18.9)#46101.64(+18.7)#3,517
47.48601120.18101.41(+18.8)#47101.64(+18.5)#3,555
48.49245119.83101.41(+18.4)#48101.64(+18.2)#3,617
49.49458119.67101.41(+18.3)#49101.64(+18.0)#3,661
50.48040119.28101.41(+17.9)#50101.64(+17.6)#3,747
51.49012119.23101.41(+17.8)#51101.64(+17.6)#3,757
52.48145119.22101.41(+17.8)#52101.64(+17.6)#3,763
53.49782119.00101.41(+17.6)#53101.64(+17.4)#3,815
54.48230118.93101.41(+17.5)#54101.64(+17.3)#3,830
55.49891118.73101.41(+17.3)#55101.64(+17.1)#3,883
56.48304118.71101.41(+17.3)#56101.64(+17.1)#3,886
57.49033118.56101.41(+17.1)#57101.64(+16.9)#3,933
58.49629118.50101.41(+17.1)#58101.64(+16.9)#3,945
59.48224118.06101.41(+16.6)#59101.64(+16.4)#4,075
60.48761117.84101.41(+16.4)#60101.64(+16.2)#4,132
61.48206117.78101.41(+16.4)#61101.64(+16.1)#4,149
62.48604117.74101.41(+16.3)#62101.64(+16.1)#4,159
63.48617117.74101.41(+16.3)#63101.64(+16.1)#4,163
64.49762117.74101.41(+16.3)#64101.64(+16.1)#4,166
65.49342117.60101.41(+16.2)#65101.64(+16.0)#4,192
66.48036117.43101.41(+16.0)#66101.64(+15.8)#4,262
67.49508117.39101.41(+16.0)#67101.64(+15.7)#4,268
68.48185116.86101.41(+15.4)#68101.64(+15.2)#4,408
69.49125116.48101.41(+15.1)#69101.64(+14.8)#4,554
70.49718116.31101.41(+14.9)#70101.64(+14.7)#4,608
71.49235116.28101.41(+14.9)#71101.64(+14.6)#4,615
72.48638116.05101.41(+14.6)#72101.64(+14.4)#4,691
73.49401115.83101.41(+14.4)#73101.64(+14.2)#4,768
74.49815115.79101.41(+14.4)#74101.64(+14.1)#4,780
75.49129115.77101.41(+14.4)#75101.64(+14.1)#4,788
76.48214115.75101.41(+14.3)#76101.64(+14.1)#4,795
77.48225115.60101.41(+14.2)#77101.64(+14.0)#4,841
78.48825115.33101.41(+13.9)#78101.64(+13.7)#4,944
79.48340115.13101.41(+13.7)#79101.64(+13.5)#5,022
80.48237115.04101.41(+13.6)#80101.64(+13.4)#5,056
81.49107114.80101.41(+13.4)#81101.64(+13.2)#5,139
82.49657114.74101.41(+13.3)#82101.64(+13.1)#5,159
83.48234114.33101.41(+12.9)#83101.64(+12.7)#5,324
84.48911114.29101.41(+12.9)#84101.64(+12.6)#5,336
85.49927114.29101.41(+12.9)#85101.64(+12.6)#5,342
86.49911114.15101.41(+12.7)#86101.64(+12.5)#5,398
87.48519114.10101.41(+12.7)#87101.64(+12.5)#5,414
88.49088113.75101.41(+12.3)#88101.64(+12.1)#5,556
89.49116113.46101.41(+12.0)#89101.64(+11.8)#5,667
90.48346113.21101.41(+11.8)#90101.64(+11.6)#5,778
91.49690113.20101.41(+11.8)#91101.64(+11.6)#5,784
92.48706113.10101.41(+11.7)#92101.64(+11.5)#5,832
93.49286112.99101.41(+11.6)#93101.64(+11.3)#5,876
94.48316112.90101.41(+11.5)#94101.64(+11.3)#5,926
95.48229112.88101.41(+11.5)#95101.64(+11.2)#5,943
96.49676112.86101.41(+11.4)#96101.64(+11.2)#5,948
97.48878112.68101.41(+11.3)#97101.64(+11.0)#6,035
98.49238112.57101.41(+11.2)#98101.64(+10.9)#6,082
99.48026112.46101.41(+11.0)#99101.64(+10.8)#6,148
100.48851112.43101.41(+11.0)#100101.64(+10.8)#6,161

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Michigan?
Top 10 Zip Codes with the Highest Female / Male Ratio in Michigan are:
#1
233.33
#2
225.49
#3
218.57
#4
204.55
#5
195.83
#6
193.33
#7
177.42
#8
172.29
#9
171.88
#10
169.23
What zip code has the Highest Female / Male Ratio in Michigan?
49877 has the Highest Female / Male Ratio in Michigan with 233.33.
What is the Famale to Male Ratio in the State of Michigan?
Famale to Male Ratio in Michigan is 101.41.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.