Zip Codes with the Highest Male / Female Ratio in Oklahoma

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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
Oklahoma
Compare Zip Codes
Comparison Subject

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

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800.00
Zip Codes with the Highest Male / Female Ratio in Oklahoma Map

Zip Codes with the Highest Male / Female Ratio in Oklahoma

Zip Code Males / 100 Females vs State vs National
1.73741655.8899.52(+556)#198.38(+557)#106
2.74829515.5199.52(+416)#298.38(+417)#150
3.73523400.0099.52(+300)#398.38(+302)#202
4.73841392.5699.52(+293)#498.38(+294)#212
5.74103347.0199.52(+247)#598.38(+249)#252
6.74939317.4999.52(+218)#698.38(+219)#288
7.74368316.6799.52(+217)#798.38(+218)#292
8.73547266.7499.52(+167)#898.38(+168)#386
9.73102247.0499.52(+148)#998.38(+149)#446
10.73705237.2399.52(+138)#1098.38(+139)#488
11.73555231.9499.52(+132)#1198.38(+134)#512
12.74521230.0099.52(+130)#1298.38(+132)#523
13.73662225.2999.52(+126)#1398.38(+127)#548
14.73720220.5999.52(+121)#1498.38(+122)#583
15.73145219.2299.52(+120)#1598.38(+121)#594
16.73090206.3099.52(+107)#1698.38(+108)#687
17.73548204.1799.52(+105)#1798.38(+106)#709
18.73747198.5799.52(+99.1)#1898.38(+100)#773
19.73772197.8899.52(+98.4)#1998.38(+99.5)#782
20.74946195.2499.52(+95.7)#2098.38(+96.9)#818
21.73551193.7599.52(+94.2)#2198.38(+95.4)#831
22.74836190.3299.52(+90.8)#2298.38(+91.9)#871
23.73668183.3399.52(+83.8)#2398.38(+84.9)#972
24.74035181.6399.52(+82.1)#2498.38(+83.2)#1,001
25.73051177.7299.52(+78.2)#2598.38(+79.3)#1,065
26.73066176.1999.52(+76.7)#2698.38(+77.8)#1,093
27.73437171.4399.52(+71.9)#2798.38(+73.0)#1,177
28.73047169.0399.52(+69.5)#2898.38(+70.6)#1,229
29.74046168.8599.52(+69.3)#2998.38(+70.5)#1,235
30.74576168.5799.52(+69.1)#3098.38(+70.2)#1,242
31.73622168.1499.52(+68.6)#3198.38(+69.8)#1,257
32.73642165.2299.52(+65.7)#3298.38(+66.8)#1,318
33.73503162.9699.52(+63.4)#3398.38(+64.6)#1,380
34.73032158.9099.52(+59.4)#3498.38(+60.5)#1,479
35.74748155.1599.52(+55.6)#3598.38(+56.8)#1,632
36.73487154.1799.52(+54.6)#3698.38(+55.8)#1,661
37.74528154.0099.52(+54.5)#3798.38(+55.6)#1,664
38.74083152.0899.52(+52.6)#3898.38(+53.7)#1,741
39.73758151.2299.52(+51.7)#3998.38(+52.8)#1,773
40.73627150.0099.52(+50.5)#4098.38(+51.6)#1,828
41.73673146.6799.52(+47.1)#4198.38(+48.3)#2,012
42.74843145.3199.52(+45.8)#4298.38(+46.9)#2,084
43.74943144.1999.52(+44.7)#4398.38(+45.8)#2,139
44.73716143.4199.52(+43.9)#4498.38(+45.0)#2,177
45.74068141.1899.52(+41.7)#4598.38(+42.8)#2,326
46.74358140.4099.52(+40.9)#4698.38(+42.0)#2,376
47.73658140.0099.52(+40.5)#4798.38(+41.6)#2,397
48.74034138.8999.52(+39.4)#4898.38(+40.5)#2,491
49.74848137.8299.52(+38.3)#4998.38(+39.4)#2,562
50.74936136.9199.52(+37.4)#5098.38(+38.5)#2,648
51.74850135.9799.52(+36.5)#5198.38(+37.6)#2,747
52.73079135.7199.52(+36.2)#5298.38(+37.3)#2,779
53.73436135.7199.52(+36.2)#5398.38(+37.3)#2,783
54.73501134.7099.52(+35.2)#5498.38(+36.3)#2,877
55.74525134.4799.52(+35.0)#5598.38(+36.1)#2,903
56.74633133.8199.52(+34.3)#5698.38(+35.4)#2,977
57.73638133.7899.52(+34.3)#5798.38(+35.4)#2,982
58.74332133.5199.52(+34.0)#5898.38(+35.1)#3,013
59.73570133.0099.52(+33.5)#5998.38(+34.6)#3,068
60.73053132.9499.52(+33.4)#6098.38(+34.6)#3,077
61.73021132.7499.52(+33.2)#6198.38(+34.4)#3,099
62.73947131.6799.52(+32.2)#6298.38(+33.3)#3,213
63.73860130.5799.52(+31.0)#6398.38(+32.2)#3,331
64.74120130.5399.52(+31.0)#6498.38(+32.1)#3,335
65.74736130.2199.52(+30.7)#6598.38(+31.8)#3,381
66.73659129.4799.52(+30.0)#6698.38(+31.1)#3,470
67.73131128.8899.52(+29.4)#6798.38(+30.5)#3,538
68.73011128.5799.52(+29.1)#6898.38(+30.2)#3,574
69.73719128.5799.52(+29.1)#6998.38(+30.2)#3,581
70.73001128.5799.52(+29.1)#7098.38(+30.2)#3,582
71.73951127.8599.52(+28.3)#7198.38(+29.5)#3,704
72.74534127.6999.52(+28.2)#7298.38(+29.3)#3,730
73.73942127.6199.52(+28.1)#7398.38(+29.2)#3,743
74.74652127.3299.52(+27.8)#7498.38(+28.9)#3,778
75.73017127.1399.52(+27.6)#7598.38(+28.7)#3,810
76.73004126.6899.52(+27.2)#7698.38(+28.3)#3,868
77.73757126.6799.52(+27.1)#7798.38(+28.3)#3,872
78.74760126.3299.52(+26.8)#7898.38(+27.9)#3,932
79.74630125.2599.52(+25.7)#7998.38(+26.9)#4,074
80.74023125.2399.52(+25.7)#8098.38(+26.8)#4,076
81.73530124.7499.52(+25.2)#8198.38(+26.4)#4,168
82.73857124.6999.52(+25.2)#8298.38(+26.3)#4,179
83.73029124.6399.52(+25.1)#8398.38(+26.2)#4,191
84.74038124.4899.52(+25.0)#8498.38(+26.1)#4,225
85.74837124.0799.52(+24.6)#8598.38(+25.7)#4,299
86.73749124.0599.52(+24.5)#8698.38(+25.7)#4,304
87.73654123.9999.52(+24.5)#8798.38(+25.6)#4,318
88.73432123.6199.52(+24.1)#8898.38(+25.2)#4,382
89.74081122.8799.52(+23.4)#8998.38(+24.5)#4,509
90.74367122.7899.52(+23.3)#9098.38(+24.4)#4,527
91.74831122.7499.52(+23.2)#9198.38(+24.4)#4,536
92.73571122.5899.52(+23.1)#9298.38(+24.2)#4,567
93.73005122.5299.52(+23.0)#9398.38(+24.1)#4,576
94.73149122.3999.52(+22.9)#9498.38(+24.0)#4,604
95.74042122.2999.52(+22.8)#9598.38(+23.9)#4,622
96.74131122.2099.52(+22.7)#9698.38(+23.8)#4,646
97.73632122.1599.52(+22.6)#9798.38(+23.8)#4,651
98.74533121.9199.52(+22.4)#9898.38(+23.5)#4,695
99.74878121.8699.52(+22.3)#9998.38(+23.5)#4,708
100.74366121.6399.52(+22.1)#10098.38(+23.2)#4,761

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Oklahoma?
Top 10 Zip Codes with the Highest Male / Female Ratio in Oklahoma are:
#1
655.88
#2
515.51
#3
400.00
#4
392.56
#5
347.01
#6
317.49
#7
316.67
#8
266.74
#9
247.04
#10
237.23
What zip code has the Highest Male / Female Ratio in Oklahoma?
73741 has the Highest Male / Female Ratio in Oklahoma with 655.88.
What is the Male to Female Ratio in the State of Oklahoma?
Male to Female Ratio in Oklahoma is 99.52.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.