Zip Codes with the Highest Male / Female Ratio in Chicago, IL

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Male / Female Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
Chicago
Compare Zip Codes
Comparison Subject

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

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150.00
Zip Codes with the Highest Male / Female Ratio in Chicago Map

Zip Codes with the Highest Male / Female Ratio in Chicago, IL

Zip Code Males / 100 Females vs State vs National
1.60608126.8597.96(+28.9)#12898.38(+28.5)#3,848
2.60602113.1897.96(+15.2)#27598.38(+14.8)#7,256
3.60603110.2397.96(+12.3)#33398.38(+11.8)#8,548
4.60661108.7697.96(+10.8)#36698.38(+10.4)#9,279
5.60640108.1697.96(+10.2)#38298.38(+9.78)#9,620
6.60656107.3297.96(+9.36)#40198.38(+8.93)#10,165
7.60642106.7797.96(+8.81)#41498.38(+8.38)#10,547
8.60632106.0697.96(+8.10)#43298.38(+7.68)#10,999
9.60657105.1897.96(+7.22)#46498.38(+6.80)#11,629
10.60638104.3597.96(+6.39)#48698.38(+5.96)#12,286
11.60645103.9897.96(+6.02)#49498.38(+5.60)#12,569
12.60654103.1197.96(+5.15)#52198.38(+4.72)#13,338
13.60660103.0497.96(+5.09)#52598.38(+4.66)#13,392
14.60613102.9897.96(+5.02)#53198.38(+4.60)#13,451
15.60606100.8697.96(+2.90)#62398.38(+2.47)#15,476
16.60607100.7797.96(+2.82)#62998.38(+2.39)#15,535
17.60641100.6397.96(+2.67)#63898.38(+2.24)#15,713
18.60622100.5497.96(+2.58)#64198.38(+2.15)#15,800
19.60655100.4997.96(+2.53)#64398.38(+2.10)#15,850
20.6063999.5697.96(+1.60)#68698.38(+1.18)#16,836
21.6061899.5597.96(+1.59)#68898.38(+1.17)#16,842
22.6063399.4597.96(+1.50)#69698.38(+1.07)#16,935
23.6063099.0597.96(+1.10)#71698.38(+0.669)#17,384
24.6060998.2797.96(+0.314)#76698.38(-0.112)#18,226
25.6064798.0297.96(+0.066)#77898.38(-0.360)#18,508
26.6061497.8497.96(-0.119)#78998.38(-0.545)#18,720
27.6062997.7997.96(-0.166)#79198.38(-0.592)#18,769
28.6065997.2197.96(-0.748)#82998.38(-1.17)#19,405
29.6062596.9497.96(-1.01)#85098.38(-1.44)#19,696
30.6062196.9197.96(-1.04)#85198.38(-1.47)#19,727
31.6060596.7097.96(-1.26)#85898.38(-1.69)#19,930
32.6061695.3997.96(-2.57)#91898.38(-2.99)#21,253
33.6060494.9797.96(-2.98)#93898.38(-3.41)#21,684
34.6065294.2097.96(-3.76)#96398.38(-4.18)#22,477
35.6062694.1297.96(-3.84)#96898.38(-4.27)#22,549
36.6062393.6297.96(-4.34)#99298.38(-4.77)#23,077
37.6063493.1297.96(-4.83)#1,01098.38(-5.26)#23,563
38.6063193.0397.96(-4.93)#1,01298.38(-5.35)#23,637
39.6061192.8597.96(-5.11)#1,01698.38(-5.54)#23,825
40.6063692.5297.96(-5.44)#1,03298.38(-5.86)#24,114
41.6065191.2997.96(-6.67)#1,07998.38(-7.10)#25,158
42.6062490.8197.96(-7.15)#1,09598.38(-7.58)#25,533
43.6064489.6397.96(-8.33)#1,13298.38(-8.76)#26,346
44.6061089.6297.96(-8.34)#1,13398.38(-8.76)#26,350
45.6061289.4297.96(-8.54)#1,14398.38(-8.97)#26,490
46.6064689.1097.96(-8.86)#1,15098.38(-9.28)#26,667
47.6060188.5597.96(-9.41)#1,16798.38(-9.84)#27,024
48.6061586.2097.96(-11.8)#1,21298.38(-12.2)#28,232
49.6062885.0697.96(-12.9)#1,23098.38(-13.3)#28,729
50.6061783.8197.96(-14.1)#1,24998.38(-14.6)#29,194
51.6064383.4597.96(-14.5)#1,25798.38(-14.9)#29,322
52.6063779.4297.96(-18.5)#1,29998.38(-19.0)#30,378
53.6064979.0997.96(-18.9)#1,30198.38(-19.3)#30,434
54.6062078.5797.96(-19.4)#1,30998.38(-19.8)#30,543
55.6061976.0797.96(-21.9)#1,32998.38(-22.3)#30,963
56.6065372.3997.96(-25.6)#1,34598.38(-26.0)#31,404

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Chicago, IL?
Top 10 Zip Codes with the Highest Male / Female Ratio in Chicago, IL are:
#1
126.85
#2
113.18
#3
110.23
#4
108.76
#5
108.16
#6
107.32
#7
106.77
#8
106.06
#9
105.18
#10
104.35
What zip code has the Highest Male / Female Ratio in Chicago, IL?
60608 has the Highest Male / Female Ratio in Chicago, IL with 126.85.
What is the Male to Female Ratio in Chicago, IL?
Male to Female Ratio in Chicago is 95.23.
What is the Male to Female Ratio in Illinois?
Male to Female Ratio in Illinois is 97.96.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.