Zip Codes with the Highest Male / Female Ratio in Indiana

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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
Indiana
Compare Zip Codes
Comparison Subject

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

0.00
1,500.00
Zip Codes with the Highest Male / Female Ratio in Indiana Map

Zip Codes with the Highest Male / Female Ratio in Indiana

Zip Code Males / 100 Females vs State vs National
1.475141,065.8798.51(+967)#198.38(+967)#54
2.46377371.4398.51(+273)#298.38(+273)#224
3.47010307.0498.51(+209)#398.38(+209)#310
4.46704300.0098.51(+201)#498.38(+202)#327
5.47845263.6498.51(+165)#598.38(+165)#401
6.47838257.3098.51(+159)#698.38(+159)#415
7.46967250.0098.51(+151)#798.38(+152)#437
8.46391237.3898.51(+139)#898.38(+139)#487
9.47174230.7798.51(+132)#998.38(+132)#519
10.47445224.1498.51(+126)#1098.38(+126)#557
11.46345220.8398.51(+122)#1198.38(+122)#580
12.47226206.1098.51(+108)#1298.38(+108)#690
13.46911182.3998.51(+83.9)#1398.38(+84.0)#983
14.46959178.7698.51(+80.2)#1498.38(+80.4)#1,044
15.47573171.4398.51(+72.9)#1598.38(+73.0)#1,179
16.46572167.5098.51(+69.0)#1698.38(+69.1)#1,271
17.47116166.6798.51(+68.2)#1798.38(+68.3)#1,286
18.47166165.8098.51(+67.3)#1898.38(+67.4)#1,309
19.47515164.3798.51(+65.9)#1998.38(+66.0)#1,345
20.47983160.9498.51(+62.4)#2098.38(+62.6)#1,425
21.46204160.8098.51(+62.3)#2198.38(+62.4)#1,433
22.46057157.9298.51(+59.4)#2298.38(+59.5)#1,506
23.47575153.7898.51(+55.3)#2398.38(+55.4)#1,669
24.47974151.2698.51(+52.7)#2498.38(+52.9)#1,771
25.46150149.8698.51(+51.3)#2598.38(+51.5)#1,854
26.47435147.9298.51(+49.4)#2698.38(+49.5)#1,948
27.46125146.6798.51(+48.2)#2798.38(+48.3)#2,015
28.47574144.8398.51(+46.3)#2898.38(+46.4)#2,107
29.46127143.4598.51(+44.9)#2998.38(+45.1)#2,174
30.46913142.3798.51(+43.9)#3098.38(+44.0)#2,241
31.47524141.5398.51(+43.0)#3198.38(+43.1)#2,297
32.46063141.3398.51(+42.8)#3298.38(+42.9)#2,312
33.47281140.6798.51(+42.2)#3398.38(+42.3)#2,355
34.47431139.5798.51(+41.1)#3498.38(+41.2)#2,436
35.46802137.7798.51(+39.3)#3598.38(+39.4)#2,568
36.47011137.2398.51(+38.7)#3698.38(+38.8)#2,616
37.47837137.1398.51(+38.6)#3798.38(+38.7)#2,627
38.47163135.7698.51(+37.2)#3898.38(+37.4)#2,774
39.47280135.6998.51(+37.2)#3998.38(+37.3)#2,789
40.46171135.6798.51(+37.2)#4098.38(+37.3)#2,793
41.47921134.6298.51(+36.1)#4198.38(+36.2)#2,890
42.46064133.8098.51(+35.3)#4298.38(+35.4)#2,978
43.46968133.3398.51(+34.8)#4398.38(+34.9)#3,029
44.47708133.2298.51(+34.7)#4498.38(+34.8)#3,048
45.46766133.1598.51(+34.6)#4598.38(+34.8)#3,054
46.47531132.3898.51(+33.9)#4698.38(+34.0)#3,139
47.47989132.2298.51(+33.7)#4798.38(+33.8)#3,158
48.47981132.2098.51(+33.7)#4898.38(+33.8)#3,162
49.47866131.6398.51(+33.1)#4998.38(+33.2)#3,216
50.46951131.5098.51(+33.0)#5098.38(+33.1)#3,228
51.46960130.6598.51(+32.1)#5198.38(+32.3)#3,324
52.47020130.2398.51(+31.7)#5298.38(+31.8)#3,375
53.47227129.8398.51(+31.3)#5398.38(+31.4)#3,430
54.47874129.7698.51(+31.2)#5498.38(+31.4)#3,435
55.46349129.2898.51(+30.8)#5598.38(+30.9)#3,493
56.47977129.2898.51(+30.8)#5698.38(+30.9)#3,494
57.46743129.1198.51(+30.6)#5798.38(+30.7)#3,515
58.46914128.9898.51(+30.5)#5898.38(+30.6)#3,524
59.47453128.5798.51(+30.1)#5998.38(+30.2)#3,578
60.46961128.5798.51(+30.1)#6098.38(+30.2)#3,584
61.47527127.5498.51(+29.0)#6198.38(+29.2)#3,752
62.47965127.4398.51(+28.9)#6298.38(+29.0)#3,760
63.47464127.2798.51(+28.8)#6398.38(+28.9)#3,784
64.46776127.2598.51(+28.7)#6498.38(+28.9)#3,794
65.47516127.1998.51(+28.7)#6598.38(+28.8)#3,803
66.47354126.7798.51(+28.3)#6698.38(+28.4)#3,856
67.47106126.7398.51(+28.2)#6798.38(+28.3)#3,863
68.46130126.6398.51(+28.1)#6898.38(+28.2)#3,877
69.47525126.3798.51(+27.9)#6998.38(+28.0)#3,920
70.47147126.3398.51(+27.8)#7098.38(+27.9)#3,925
71.47513125.5098.51(+27.0)#7198.38(+27.1)#4,042
72.47950124.2998.51(+25.8)#7298.38(+25.9)#4,255
73.47367123.6898.51(+25.2)#7398.38(+25.3)#4,371
74.47881123.4798.51(+25.0)#7498.38(+25.1)#4,403
75.46781123.4598.51(+24.9)#7598.38(+25.1)#4,407
76.46773123.3198.51(+24.8)#7698.38(+24.9)#4,420
77.47955123.2898.51(+24.8)#7798.38(+24.9)#4,425
78.47465122.9998.51(+24.5)#7898.38(+24.6)#4,481
79.46798122.6798.51(+24.2)#7998.38(+24.3)#4,555
80.47982122.2298.51(+23.7)#8098.38(+23.8)#4,637
81.47654122.2298.51(+23.7)#8198.38(+23.8)#4,641
82.47231121.8098.51(+23.3)#8298.38(+23.4)#4,725
83.47997121.7998.51(+23.3)#8398.38(+23.4)#4,727
84.47564121.7898.51(+23.3)#8498.38(+23.4)#4,734
85.46779121.6998.51(+23.2)#8598.38(+23.3)#4,750
86.46759121.6198.51(+23.1)#8698.38(+23.2)#4,765
87.47992121.3198.51(+22.8)#8798.38(+22.9)#4,840
88.47968121.1198.51(+22.6)#8898.38(+22.7)#4,884
89.47260120.9398.51(+22.4)#8998.38(+22.5)#4,920
90.46393120.9098.51(+22.4)#9098.38(+22.5)#4,933
91.47568120.7298.51(+22.2)#9198.38(+22.3)#4,974
92.47031120.6898.51(+22.2)#9298.38(+22.3)#4,984
93.46124120.5598.51(+22.0)#9398.38(+22.2)#5,018
94.46785120.3698.51(+21.8)#9498.38(+22.0)#5,064
95.47136120.3198.51(+21.8)#9598.38(+21.9)#5,076
96.46928120.0998.51(+21.6)#9698.38(+21.7)#5,117
97.47380119.9798.51(+21.5)#9798.38(+21.6)#5,151
98.46794119.8898.51(+21.4)#9898.38(+21.5)#5,169
99.46135119.8098.51(+21.3)#9998.38(+21.4)#5,191
100.47034119.7598.51(+21.2)#10098.38(+21.4)#5,208

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Indiana?
Top 10 Zip Codes with the Highest Male / Female Ratio in Indiana are:
#1
1,065.87
#2
371.43
#3
307.04
#4
300.00
#5
263.64
#6
257.30
#7
250.00
#8
237.38
#9
230.77
#10
224.14
What zip code has the Highest Male / Female Ratio in Indiana?
47514 has the Highest Male / Female Ratio in Indiana with 1,065.87.
What is the Male to Female Ratio in the State of Indiana?
Male to Female Ratio in Indiana is 98.51.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.