Zip Codes with the Highest Female / Male Ratio in Indiana

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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
Indiana
Compare Zip Codes
Comparison Subject

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

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Zip Codes with the Highest Female / Male Ratio in Indiana Map

Zip Codes with the Highest Female / Male Ratio in Indiana

Zip Code Females / 100 Males vs State vs National
1.47876885.71101.51(+784)#1101.64(+784)#22
2.46778472.22101.51(+371)#2101.64(+371)#58
3.46045361.54101.51(+260)#3101.64(+260)#94
4.47869325.00101.51(+223)#4101.64(+223)#120
5.47865300.00101.51(+198)#5101.64(+198)#143
6.47366277.78101.51(+176)#6101.64(+176)#166
7.46998255.17101.51(+154)#7101.64(+154)#204
8.46290248.00101.51(+146)#8101.64(+146)#224
9.46771214.29101.51(+113)#9101.64(+113)#334
10.46980213.64101.51(+112)#10101.64(+112)#336
11.46786208.33101.51(+107)#11101.64(+107)#358
12.47324187.34101.51(+85.8)#12101.64(+85.7)#504
13.46047175.00101.51(+73.5)#13101.64(+73.4)#614
14.47035172.73101.51(+71.2)#14101.64(+71.1)#637
15.47306169.34101.51(+67.8)#15101.64(+67.7)#684
16.46381158.80101.51(+57.3)#16101.64(+57.2)#864
17.47585153.90101.51(+52.4)#17101.64(+52.3)#967
18.46146153.33101.51(+51.8)#18101.64(+51.7)#977
19.47017150.00101.51(+48.5)#19101.64(+48.4)#1,071
20.47853149.09101.51(+47.6)#20101.64(+47.4)#1,104
21.47036147.54101.51(+46.0)#21101.64(+45.9)#1,160
22.46760139.04101.51(+37.5)#22101.64(+37.4)#1,497
23.46946138.64101.51(+37.1)#23101.64(+37.0)#1,514
24.46365138.07101.51(+36.6)#24101.64(+36.4)#1,535
25.47235136.65101.51(+35.1)#25101.64(+35.0)#1,611
26.46764134.60101.51(+33.1)#26101.64(+33.0)#1,728
27.47590133.85101.51(+32.3)#27101.64(+32.2)#1,775
28.47373133.09101.51(+31.6)#28101.64(+31.4)#1,850
29.47175132.34101.51(+30.8)#29101.64(+30.7)#1,896
30.46920131.97101.51(+30.5)#30101.64(+30.3)#1,934
31.46050131.06101.51(+29.6)#31101.64(+29.4)#2,005
32.46218130.70101.51(+29.2)#32101.64(+29.1)#2,037
33.47325129.39101.51(+27.9)#33101.64(+27.7)#2,163
34.47872128.80101.51(+27.3)#34101.64(+27.2)#2,218
35.46268128.71101.51(+27.2)#35101.64(+27.1)#2,226
36.46950128.57101.51(+27.1)#36101.64(+26.9)#2,246
37.46340128.13101.51(+26.6)#37101.64(+26.5)#2,302
38.46216127.73101.51(+26.2)#38101.64(+26.1)#2,346
39.46988127.23101.51(+25.7)#39101.64(+25.6)#2,404
40.46711126.57101.51(+25.1)#40101.64(+24.9)#2,483
41.46175126.05101.51(+24.5)#41101.64(+24.4)#2,541
42.47386124.53101.51(+23.0)#42101.64(+22.9)#2,748
43.46156123.90101.51(+22.4)#43101.64(+22.3)#2,834
44.46058123.17101.51(+21.7)#44101.64(+21.5)#2,942
45.46407123.05101.51(+21.5)#45101.64(+21.4)#2,972
46.47948123.01101.51(+21.5)#46101.64(+21.4)#2,976
47.46933122.97101.51(+21.5)#47101.64(+21.3)#2,983
48.46186122.50101.51(+21.0)#48101.64(+20.9)#3,064
49.47357122.48101.51(+21.0)#49101.64(+20.8)#3,070
50.46796122.45101.51(+20.9)#50101.64(+20.8)#3,077
51.46799122.28101.51(+20.8)#51101.64(+20.6)#3,116
52.46742121.96101.51(+20.5)#52101.64(+20.3)#3,177
53.46570121.70101.51(+20.2)#53101.64(+20.1)#3,230
54.46590121.61101.51(+20.1)#54101.64(+20.0)#3,247
55.46741121.51101.51(+20.0)#55101.64(+19.9)#3,269
56.46635121.20101.51(+19.7)#56101.64(+19.6)#3,339
57.47032120.93101.51(+19.4)#57101.64(+19.3)#3,388
58.47880120.00101.51(+18.5)#58101.64(+18.4)#3,589
59.47336119.92101.51(+18.4)#59101.64(+18.3)#3,600
60.46797119.82101.51(+18.3)#60101.64(+18.2)#3,621
61.47588119.72101.51(+18.2)#61101.64(+18.1)#3,646
62.46917119.61101.51(+18.1)#62101.64(+18.0)#3,674
63.46376119.35101.51(+17.8)#63101.64(+17.7)#3,730
64.46628119.28101.51(+17.8)#64101.64(+17.6)#3,750
65.47232119.21101.51(+17.7)#65101.64(+17.6)#3,766
66.47859119.11101.51(+17.6)#66101.64(+17.5)#3,791
67.47954119.10101.51(+17.6)#67101.64(+17.5)#3,793
68.46107118.77101.51(+17.3)#68101.64(+17.1)#3,867
69.47123118.75101.51(+17.2)#69101.64(+17.1)#3,874
70.46165118.70101.51(+17.2)#70101.64(+17.1)#3,889
71.46049118.66101.51(+17.2)#71101.64(+17.0)#3,903
72.46226118.49101.51(+17.0)#72101.64(+16.8)#3,950
73.47528118.40101.51(+16.9)#73101.64(+16.8)#3,978
74.46402118.33101.51(+16.8)#74101.64(+16.7)#3,995
75.47941118.33101.51(+16.8)#75101.64(+16.7)#3,996
76.46507118.18101.51(+16.7)#76101.64(+16.5)#4,034
77.47854118.02101.51(+16.5)#77101.64(+16.4)#4,082
78.46214117.98101.51(+16.5)#78101.64(+16.3)#4,091
79.46738117.96101.51(+16.4)#79101.64(+16.3)#4,098
80.47613117.85101.51(+16.3)#80101.64(+16.2)#4,125
81.47930117.70101.51(+16.2)#81101.64(+16.1)#4,169
82.46144117.54101.51(+16.0)#82101.64(+15.9)#4,217
83.46409117.53101.51(+16.0)#83101.64(+15.9)#4,229
84.46816117.48101.51(+16.0)#84101.64(+15.8)#4,249
85.46254117.47101.51(+16.0)#85101.64(+15.8)#4,251
86.46508117.39101.51(+15.9)#86101.64(+15.7)#4,267
87.47611117.22101.51(+15.7)#87101.64(+15.6)#4,316
88.46235117.18101.51(+15.7)#88101.64(+15.5)#4,322
89.46556117.01101.51(+15.5)#89101.64(+15.4)#4,362
90.47884116.94101.51(+15.4)#90101.64(+15.3)#4,377
91.47598116.86101.51(+15.4)#91101.64(+15.2)#4,405
92.47537116.61101.51(+15.1)#92101.64(+15.0)#4,516
93.46539116.44101.51(+14.9)#93101.64(+14.8)#4,567
94.47580116.39101.51(+14.9)#94101.64(+14.8)#4,580
95.46240116.38101.51(+14.9)#95101.64(+14.7)#4,588
96.46940116.17101.51(+14.7)#96101.64(+14.5)#4,644
97.47840116.11101.51(+14.6)#97101.64(+14.5)#4,664
98.47282115.65101.51(+14.1)#98101.64(+14.0)#4,825
99.46051115.49101.51(+14.0)#99101.64(+13.8)#4,881
100.47230115.09101.51(+13.6)#100101.64(+13.4)#5,037

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Indiana?
Top 10 Zip Codes with the Highest Female / Male Ratio in Indiana are:
#1
885.71
#2
472.22
#3
361.54
#4
325.00
#5
300.00
#6
277.78
#7
255.17
#8
248.00
#9
214.29
#10
213.64
What zip code has the Highest Female / Male Ratio in Indiana?
47876 has the Highest Female / Male Ratio in Indiana with 885.71.
What is the Famale to Male Ratio in the State of Indiana?
Famale to Male Ratio in Indiana is 101.51.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.