Zip Codes with the Highest Female / Male Ratio in Iowa

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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
Iowa
Compare Zip Codes
Comparison Subject

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

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600.00
Zip Codes with the Highest Female / Male Ratio in Iowa Map

Zip Codes with the Highest Female / Male Ratio in Iowa

Zip Code Females / 100 Males vs State vs National
1. 50427 522.73 99.48 (+423)#1 101.64 (+421)#53
2. 52307 433.33 99.48 (+334)#2 101.64 (+332)#62
3. 50032 347.13 99.48 (+248)#3 101.64 (+245)#101
4. 50031 307.14 99.48 (+208)#4 101.64 (+206)#133
5. 51015 255.00 99.48 (+156)#5 101.64 (+153)#207
6. 50649 220.00 99.48 (+121)#6 101.64 (+118)#305
7. 50608 207.14 99.48 (+108)#7 101.64 (+106)#364
8. 52624 197.95 99.48 (+98.5)#8 101.64 (+96.3)#424
9. 52573 187.14 99.48 (+87.7)#9 101.64 (+85.5)#505
10. 51647 180.72 99.48 (+81.2)#10 101.64 (+79.1)#560
11. 50169 178.37 99.48 (+78.9)#11 101.64 (+76.7)#579
12. 50165 175.00 99.48 (+75.5)#12 101.64 (+73.4)#615
13. 51562 174.58 99.48 (+75.1)#13 101.64 (+72.9)#622
14. 52701 168.89 99.48 (+69.4)#14 101.64 (+67.2)#695
15. 52312 157.89 99.48 (+58.4)#15 101.64 (+56.3)#879
16. 50545 154.24 99.48 (+54.8)#16 101.64 (+52.6)#958
17. 50863 151.95 99.48 (+52.5)#17 101.64 (+50.3)#1,015
18. 50467 151.22 99.48 (+51.7)#18 101.64 (+49.6)#1,034
19. 50453 151.17 99.48 (+51.7)#19 101.64 (+49.5)#1,037
20. 52580 150.34 99.48 (+50.9)#20 101.64 (+48.7)#1,065
21. 52158 146.28 99.48 (+46.8)#21 101.64 (+44.6)#1,201
22. 51578 144.83 99.48 (+45.3)#22 101.64 (+43.2)#1,256
23. 50582 143.84 99.48 (+44.4)#23 101.64 (+42.2)#1,282
24. 52585 141.64 99.48 (+42.2)#24 101.64 (+40.0)#1,378
25. 51459 140.74 99.48 (+41.3)#25 101.64 (+39.1)#1,412
26. 52657 140.74 99.48 (+41.3)#26 101.64 (+39.1)#1,413
27. 52242 140.28 99.48 (+40.8)#27 101.64 (+38.6)#1,435
28. 52767 140.24 99.48 (+40.8)#28 101.64 (+38.6)#1,438
29. 50104 138.46 99.48 (+39.0)#29 101.64 (+36.8)#1,519
30. 51365 137.64 99.48 (+38.2)#30 101.64 (+36.0)#1,557
31. 51034 137.50 99.48 (+38.0)#31 101.64 (+35.9)#1,560
32. 50078 137.21 99.48 (+37.7)#32 101.64 (+35.6)#1,581
33. 50611 136.36 99.48 (+36.9)#33 101.64 (+34.7)#1,631
34. 52038 136.16 99.48 (+36.7)#34 101.64 (+34.5)#1,643
35. 51565 135.56 99.48 (+36.1)#35 101.64 (+33.9)#1,681
36. 51058 134.93 99.48 (+35.4)#36 101.64 (+33.3)#1,714
37. 52134 134.62 99.48 (+35.1)#37 101.64 (+33.0)#1,726
38. 51111 133.96 99.48 (+34.5)#38 101.64 (+32.3)#1,769
39. 51011 133.33 99.48 (+33.9)#39 101.64 (+31.7)#1,830
40. 51432 133.33 99.48 (+33.9)#40 101.64 (+31.7)#1,834
41. 50168 132.12 99.48 (+32.6)#41 101.64 (+30.5)#1,917
42. 52362 130.89 99.48 (+31.4)#42 101.64 (+29.2)#2,021
43. 51363 130.65 99.48 (+31.2)#43 101.64 (+29.0)#2,043
44. 52133 130.51 99.48 (+31.0)#44 101.64 (+28.9)#2,057
45. 51530 130.40 99.48 (+30.9)#45 101.64 (+28.8)#2,074
46. 51548 130.32 99.48 (+30.8)#46 101.64 (+28.7)#2,080
47. 50258 130.19 99.48 (+30.7)#47 101.64 (+28.6)#2,093
48. 51355 130.18 99.48 (+30.7)#48 101.64 (+28.5)#2,094
49. 52232 130.08 99.48 (+30.6)#49 101.64 (+28.4)#2,100
50. 50241 129.82 99.48 (+30.3)#50 101.64 (+28.2)#2,123
51. 50654 129.37 99.48 (+29.9)#51 101.64 (+27.7)#2,166
52. 51636 129.15 99.48 (+29.7)#52 101.64 (+27.5)#2,181
53. 50607 129.12 99.48 (+29.6)#53 101.64 (+27.5)#2,183
54. 50248 128.96 99.48 (+29.5)#54 101.64 (+27.3)#2,196
55. 52652 128.95 99.48 (+29.5)#55 101.64 (+27.3)#2,197
56. 51433 127.82 99.48 (+28.3)#56 101.64 (+26.2)#2,337
57. 50471 127.42 99.48 (+27.9)#57 101.64 (+25.8)#2,378
58. 50623 127.27 99.48 (+27.8)#58 101.64 (+25.6)#2,399
59. 50321 126.63 99.48 (+27.1)#59 101.64 (+25.0)#2,474
60. 51244 126.15 99.48 (+26.7)#60 101.64 (+24.5)#2,526
61. 50576 126.13 99.48 (+26.6)#61 101.64 (+24.5)#2,530
62. 51531 125.29 99.48 (+25.8)#62 101.64 (+23.6)#2,637
63. 50672 124.60 99.48 (+25.1)#63 101.64 (+23.0)#2,736
64. 52075 124.56 99.48 (+25.1)#64 101.64 (+22.9)#2,740
65. 52135 124.48 99.48 (+25.0)#65 101.64 (+22.8)#2,752
66. 50628 124.48 99.48 (+25.0)#66 101.64 (+22.8)#2,753
67. 50626 124.46 99.48 (+25.0)#67 101.64 (+22.8)#2,755
68. 51009 124.32 99.48 (+24.8)#68 101.64 (+22.7)#2,775
69. 52216 124.31 99.48 (+24.8)#69 101.64 (+22.7)#2,777
70. 52210 123.11 99.48 (+23.6)#70 101.64 (+21.5)#2,955
71. 50831 123.08 99.48 (+23.6)#71 101.64 (+21.4)#2,968
72. 51044 122.68 99.48 (+23.2)#72 101.64 (+21.0)#3,035
73. 50574 121.54 99.48 (+22.1)#73 101.64 (+19.9)#3,260
74. 52551 121.16 99.48 (+21.7)#74 101.64 (+19.5)#3,345
75. 51008 121.05 99.48 (+21.6)#75 101.64 (+19.4)#3,369
76. 51570 120.86 99.48 (+21.4)#76 101.64 (+19.2)#3,403
77. 50142 120.67 99.48 (+21.2)#77 101.64 (+19.0)#3,446
78. 50514 120.45 99.48 (+21.0)#78 101.64 (+18.8)#3,495
79. 52052 120.44 99.48 (+21.0)#79 101.64 (+18.8)#3,496
80. 52346 119.84 99.48 (+20.4)#80 101.64 (+18.2)#3,611
81. 50675 119.53 99.48 (+20.0)#81 101.64 (+17.9)#3,694
82. 50625 119.43 99.48 (+19.9)#82 101.64 (+17.8)#3,716
83. 52562 119.35 99.48 (+19.9)#83 101.64 (+17.7)#3,731
84. 50130 119.16 99.48 (+19.7)#84 101.64 (+17.5)#3,777
85. 50571 118.97 99.48 (+19.5)#85 101.64 (+17.3)#3,822
86. 52047 118.85 99.48 (+19.4)#86 101.64 (+17.2)#3,850
87. 51331 118.71 99.48 (+19.2)#87 101.64 (+17.1)#3,887
88. 51240 118.66 99.48 (+19.2)#88 101.64 (+17.0)#3,905
89. 52316 118.52 99.48 (+19.0)#89 101.64 (+16.9)#3,939
90. 51060 118.43 99.48 (+18.9)#90 101.64 (+16.8)#3,967
91. 51465 118.43 99.48 (+18.9)#91 101.64 (+16.8)#3,968
92. 51010 117.46 99.48 (+18.0)#92 101.64 (+15.8)#4,253
93. 51521 117.45 99.48 (+18.0)#93 101.64 (+15.8)#4,256
94. 50638 117.36 99.48 (+17.9)#94 101.64 (+15.7)#4,276
95. 50484 117.36 99.48 (+17.9)#95 101.64 (+15.7)#4,277
96. 52626 117.03 99.48 (+17.5)#96 101.64 (+15.4)#4,358
97. 50324 116.94 99.48 (+17.5)#97 101.64 (+15.3)#4,376
98. 50541 116.59 99.48 (+17.1)#98 101.64 (+15.0)#4,520
99. 50444 116.23 99.48 (+16.8)#99 101.64 (+14.6)#4,623
100. 52039 116.19 99.48 (+16.7)#100 101.64 (+14.5)#4,636

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Iowa?
Top 10 Zip Codes with the Highest Female / Male Ratio in Iowa are:
#1
522.73
#2
433.33
#3
347.13
#4
307.14
#5
255.00
#6
220.00
#7
207.14
#8
197.95
#9
187.14
#10
180.72
What zip code has the Highest Female / Male Ratio in Iowa?
50427 has the Highest Female / Male Ratio in Iowa with 522.73.
What is the Famale to Male Ratio in the State of Iowa?
Famale to Male Ratio in Iowa is 99.48.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.