Zip Codes with the Highest Male / Female Ratio in Illinois

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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
Illinois
Compare Zip Codes
Comparison Subject

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

100.00
400.00
Zip Codes with the Highest Male / Female Ratio in Illinois Map

Zip Codes with the Highest Male / Female Ratio in Illinois

Zip Code Males / 100 Females vs State vs National
1. 61562 360.00 97.96 (+262)#1 98.38 (+262)#235
2. 62846 352.23 97.96 (+254)#2 98.38 (+254)#248
3. 60141 324.24 97.96 (+226)#3 98.38 (+226)#283
4. 62523 308.16 97.96 (+210)#4 98.38 (+210)#305
5. 60539 290.48 97.96 (+193)#5 98.38 (+192)#343
6. 62464 241.30 97.96 (+143)#6 98.38 (+143)#475
7. 60088 229.37 97.96 (+131)#7 98.38 (+131)#525
8. 62466 224.34 97.96 (+126)#8 98.38 (+126)#554
9. 60551 221.19 97.96 (+123)#9 98.38 (+123)#576
10. 61276 220.83 97.96 (+123)#10 98.38 (+122)#579
11. 62353 218.65 97.96 (+121)#11 98.38 (+120)#596
12. 61552 214.29 97.96 (+116)#12 98.38 (+116)#630
13. 61059 214.29 97.96 (+116)#13 98.38 (+116)#631
14. 61285 213.06 97.96 (+115)#14 98.38 (+115)#648
15. 62995 212.89 97.96 (+115)#15 98.38 (+115)#650
16. 61466 210.47 97.96 (+113)#16 98.38 (+112)#664
17. 62233 202.99 97.96 (+105)#17 98.38 (+105)#720
18. 62313 202.75 97.96 (+105)#18 98.38 (+104)#723
19. 62843 200.00 97.96 (+102)#19 98.38 (+102)#746
20. 62019 199.06 97.96 (+101)#20 98.38 (+101)#767
21. 62701 196.97 97.96 (+99.0)#21 98.38 (+98.6)#799
22. 61478 190.15 97.96 (+92.2)#22 98.38 (+91.8)#875
23. 60932 189.78 97.96 (+91.8)#23 98.38 (+91.4)#884
24. 62469 185.29 97.96 (+87.3)#24 98.38 (+86.9)#944
25. 62950 180.70 97.96 (+82.7)#25 98.38 (+82.3)#1,015
26. 60519 180.00 97.96 (+82.0)#26 98.38 (+81.6)#1,026
27. 61475 178.26 97.96 (+80.3)#27 98.38 (+79.9)#1,053
28. 62829 178.26 97.96 (+80.3)#28 98.38 (+79.9)#1,054
29. 62093 176.24 97.96 (+78.3)#29 98.38 (+77.9)#1,089
30. 61042 174.36 97.96 (+76.4)#30 98.38 (+76.0)#1,126
31. 62083 170.69 97.96 (+72.7)#31 98.38 (+72.3)#1,190
32. 62841 169.23 97.96 (+71.3)#32 98.38 (+70.8)#1,222
33. 61324 165.62 97.96 (+67.7)#33 98.38 (+67.2)#1,312
34. 62630 162.84 97.96 (+64.9)#34 98.38 (+64.5)#1,384
35. 60926 162.07 97.96 (+64.1)#35 98.38 (+63.7)#1,402
36. 60407 160.89 97.96 (+62.9)#36 98.38 (+62.5)#1,429
37. 62365 160.26 97.96 (+62.3)#37 98.38 (+61.9)#1,450
38. 61449 160.23 97.96 (+62.3)#38 98.38 (+61.8)#1,452
39. 61602 159.64 97.96 (+61.7)#39 98.38 (+61.3)#1,467
40. 62373 159.22 97.96 (+61.3)#40 98.38 (+60.8)#1,472
41. 62547 158.25 97.96 (+60.3)#41 98.38 (+59.9)#1,501
42. 62011 157.55 97.96 (+59.6)#42 98.38 (+59.2)#1,527
43. 62049 157.54 97.96 (+59.6)#43 98.38 (+59.2)#1,528
44. 61775 155.32 97.96 (+57.4)#44 98.38 (+56.9)#1,623
45. 62336 154.05 97.96 (+56.1)#45 98.38 (+55.7)#1,663
46. 62323 152.04 97.96 (+54.1)#46 98.38 (+53.7)#1,743
47. 62274 151.65 97.96 (+53.7)#47 98.38 (+53.3)#1,751
48. 62324 150.99 97.96 (+53.0)#48 98.38 (+52.6)#1,785
49. 61459 150.36 97.96 (+52.4)#49 98.38 (+52.0)#1,815
50. 62871 149.00 97.96 (+51.0)#50 98.38 (+50.6)#1,893
51. 62357 148.57 97.96 (+50.6)#51 98.38 (+50.2)#1,916
52. 60557 147.73 97.96 (+49.8)#52 98.38 (+49.3)#1,963
53. 60549 146.79 97.96 (+48.8)#53 98.38 (+48.4)#2,009
54. 61543 146.67 97.96 (+48.7)#54 98.38 (+48.3)#2,013
55. 62833 145.59 97.96 (+47.6)#55 98.38 (+47.2)#2,067
56. 62250 145.11 97.96 (+47.2)#56 98.38 (+46.7)#2,093
57. 61834 144.93 97.96 (+47.0)#57 98.38 (+46.5)#2,103
58. 62953 144.85 97.96 (+46.9)#58 98.38 (+46.5)#2,104
59. 62345 144.52 97.96 (+46.6)#59 98.38 (+46.1)#2,120
60. 62947 144.51 97.96 (+46.6)#60 98.38 (+46.1)#2,121
61. 62861 143.14 97.96 (+45.2)#61 98.38 (+44.8)#2,192
62. 62445 143.13 97.96 (+45.2)#62 98.38 (+44.7)#2,193
63. 61743 142.65 97.96 (+44.7)#63 98.38 (+44.3)#2,221
64. 62356 142.53 97.96 (+44.6)#64 98.38 (+44.1)#2,232
65. 62639 142.05 97.96 (+44.1)#65 98.38 (+43.7)#2,260
66. 62876 141.07 97.96 (+43.1)#66 98.38 (+42.7)#2,333
67. 62358 140.85 97.96 (+42.9)#67 98.38 (+42.5)#2,345
68. 62374 139.77 97.96 (+41.8)#68 98.38 (+41.4)#2,421
69. 62425 138.81 97.96 (+40.9)#69 98.38 (+40.4)#2,496
70. 61375 138.81 97.96 (+40.9)#70 98.38 (+40.4)#2,497
71. 61258 137.97 97.96 (+40.0)#71 98.38 (+39.6)#2,550
72. 60912 137.39 97.96 (+39.4)#72 98.38 (+39.0)#2,599
73. 62082 136.49 97.96 (+38.5)#73 98.38 (+38.1)#2,702
74. 60537 136.48 97.96 (+38.5)#74 98.38 (+38.1)#2,704
75. 62808 135.98 97.96 (+38.0)#75 98.38 (+37.6)#2,745
76. 61439 135.85 97.96 (+37.9)#76 98.38 (+37.5)#2,762
77. 61831 135.59 97.96 (+37.6)#77 98.38 (+37.2)#2,806
78. 61322 135.45 97.96 (+37.5)#78 98.38 (+37.1)#2,814
79. 61112 135.42 97.96 (+37.5)#79 98.38 (+37.0)#2,818
80. 60921 135.39 97.96 (+37.4)#80 98.38 (+37.0)#2,820
81. 61340 135.29 97.96 (+37.3)#81 98.38 (+36.9)#2,829
82. 62860 135.18 97.96 (+37.2)#82 98.38 (+36.8)#2,840
83. 61336 134.95 97.96 (+37.0)#83 98.38 (+36.6)#2,859
84. 61532 134.29 97.96 (+36.3)#84 98.38 (+35.9)#2,920
85. 61049 134.18 97.96 (+36.2)#85 98.38 (+35.8)#2,932
86. 62970 134.10 97.96 (+36.1)#86 98.38 (+35.7)#2,944
87. 61882 134.07 97.96 (+36.1)#87 98.38 (+35.7)#2,946
88. 62963 134.02 97.96 (+36.1)#88 98.38 (+35.6)#2,952
89. 61413 133.72 97.96 (+35.8)#89 98.38 (+35.3)#2,989
90. 62661 133.33 97.96 (+35.4)#90 98.38 (+34.9)#3,020
91. 62631 133.33 97.96 (+35.4)#91 98.38 (+34.9)#3,027
92. 62359 133.33 97.96 (+35.4)#92 98.38 (+34.9)#3,031
93. 62460 133.27 97.96 (+35.3)#93 98.38 (+34.9)#3,046
94. 62319 133.01 97.96 (+35.1)#94 98.38 (+34.6)#3,067
95. 62262 132.62 97.96 (+34.7)#95 98.38 (+34.2)#3,110
96. 62809 132.26 97.96 (+34.3)#96 98.38 (+33.9)#3,153
97. 62058 131.93 97.96 (+34.0)#97 98.38 (+33.5)#3,185
98. 62027 131.70 97.96 (+33.7)#98 98.38 (+33.3)#3,209
99. 61567 131.48 97.96 (+33.5)#99 98.38 (+33.1)#3,230
100. 61038 131.33 97.96 (+33.4)#100 98.38 (+32.9)#3,240

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Illinois?
Top 10 Zip Codes with the Highest Male / Female Ratio in Illinois are:
#1
360.00
#2
352.23
#3
324.24
#4
308.16
#5
290.48
#6
241.30
#7
229.37
#8
224.34
#9
221.19
#10
220.83
What zip code has the Highest Male / Female Ratio in Illinois?
61562 has the Highest Male / Female Ratio in Illinois with 360.00.
What is the Male to Female Ratio in the State of 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.