Zip Codes with the Highest Female / Male Ratio in Texas

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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
Texas
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Female / Male Ratio in Texas

Zip Code Females / 100 Males vs State vs National
1.765991,236.3699.96(+1.14k)#1101.64(+1.13k)#14
2.77431945.4599.96(+845)#2101.64(+844)#21
3.75441800.0099.96(+700)#3101.64(+698)#25
4.77481635.7199.96(+536)#4101.64(+534)#44
5.77334465.0099.96(+365)#5101.64(+363)#59
6.77876446.8899.96(+347)#6101.64(+345)#60
7.79785400.0099.96(+300)#7101.64(+298)#71
8.79832384.0099.96(+284)#8101.64(+282)#78
9.79091366.6799.96(+267)#9101.64(+265)#88
10.76127351.5099.96(+252)#10101.64(+250)#98
11.76573350.0099.96(+250)#11101.64(+248)#99
12.75934343.7599.96(+244)#12101.64(+242)#105
13.79033333.3399.96(+233)#13101.64(+232)#112
14.79699314.2999.96(+214)#14101.64(+213)#125
15.79369291.6799.96(+192)#15101.64(+190)#147
16.78351290.4299.96(+190)#16101.64(+189)#149
17.78879263.7599.96(+164)#17101.64(+162)#190
18.76865250.8899.96(+151)#18101.64(+149)#218
19.77376242.5399.96(+143)#19101.64(+141)#238
20.79780234.7899.96(+135)#20101.64(+133)#254
21.76930234.6299.96(+135)#21101.64(+133)#255
22.76523233.5799.96(+134)#22101.64(+132)#256
23.78161226.4299.96(+126)#23101.64(+125)#285
24.76129224.6799.96(+125)#24101.64(+123)#291
25.78622220.9199.96(+121)#25101.64(+119)#301
26.76870204.3599.96(+104)#26101.64(+103)#381
27.78943204.0099.96(+104)#27101.64(+102)#383
28.79094200.0099.96(+100)#28101.64(+98.4)#415
29.79730197.1499.96(+97.2)#29101.64(+95.5)#425
30.77969194.7499.96(+94.8)#30101.64(+93.1)#438
31.78871190.9199.96(+90.9)#31101.64(+89.3)#470
32.75450185.2199.96(+85.2)#32101.64(+83.6)#517
33.75759183.6799.96(+83.7)#33101.64(+82.0)#530
34.77951183.1899.96(+83.2)#34101.64(+81.5)#538
35.79378181.9399.96(+82.0)#35101.64(+80.3)#545
36.77460180.8599.96(+80.9)#36101.64(+79.2)#558
37.78007180.0099.96(+80.0)#37101.64(+78.4)#564
38.76866177.4299.96(+77.5)#38101.64(+75.8)#584
39.77428176.4799.96(+76.5)#39101.64(+74.8)#594
40.78931176.3299.96(+76.4)#40101.64(+74.7)#596
41.79259176.1999.96(+76.2)#41101.64(+74.5)#597
42.76871175.0099.96(+75.0)#42101.64(+73.4)#611
43.78004173.5499.96(+73.6)#43101.64(+71.9)#632
44.78358171.9099.96(+71.9)#44101.64(+70.3)#650
45.76261171.4399.96(+71.5)#45101.64(+69.8)#659
46.75942170.0099.96(+70.0)#46101.64(+68.4)#674
47.78827169.8299.96(+69.9)#47101.64(+68.2)#678
48.75962169.2599.96(+69.3)#48101.64(+67.6)#685
49.78608168.4799.96(+68.5)#49101.64(+66.8)#698
50.78830167.6099.96(+67.6)#50101.64(+66.0)#707
51.78949162.7099.96(+62.7)#51101.64(+61.1)#786
52.78117162.6099.96(+62.6)#52101.64(+61.0)#789
53.75903161.5499.96(+61.6)#53101.64(+59.9)#805
54.75658160.0099.96(+60.0)#54101.64(+58.4)#843
55.79025160.0099.96(+60.0)#55101.64(+58.4)#844
56.79062159.8499.96(+59.9)#56101.64(+58.2)#847
57.78742159.0899.96(+59.1)#57101.64(+57.4)#858
58.76798158.4099.96(+58.4)#58101.64(+56.8)#874
59.76854156.6499.96(+56.7)#59101.64(+55.0)#907
60.78162155.9799.96(+56.0)#60101.64(+54.3)#921
61.79018155.7799.96(+55.8)#61101.64(+54.1)#927
62.75711154.6999.96(+54.7)#62101.64(+53.0)#949
63.76388153.0999.96(+53.1)#63101.64(+51.4)#983
64.78419152.5199.96(+52.6)#64101.64(+50.9)#1,000
65.75105152.4699.96(+52.5)#65101.64(+50.8)#1,002
66.79080151.1599.96(+51.2)#66101.64(+49.5)#1,038
67.76885150.0099.96(+50.0)#67101.64(+48.4)#1,083
68.78021150.0099.96(+50.0)#68101.64(+48.4)#1,091
69.78932149.2399.96(+49.3)#69101.64(+47.6)#1,100
70.79046148.1099.96(+48.1)#70101.64(+46.5)#1,139
71.77369147.1199.96(+47.1)#71101.64(+45.5)#1,174
72.76203143.7199.96(+43.7)#72101.64(+42.1)#1,289
73.76828143.3099.96(+43.3)#73101.64(+41.7)#1,303
74.77446141.9499.96(+42.0)#74101.64(+40.3)#1,360
75.75479141.8099.96(+41.8)#75101.64(+40.2)#1,368
76.76372141.5999.96(+41.6)#76101.64(+39.9)#1,380
77.77457141.2899.96(+41.3)#77101.64(+39.6)#1,391
78.79842141.1399.96(+41.2)#78101.64(+39.5)#1,395
79.79227140.9099.96(+40.9)#79101.64(+39.3)#1,399
80.78050140.8899.96(+40.9)#80101.64(+39.2)#1,400
81.78151140.4899.96(+40.5)#81101.64(+38.8)#1,425
82.77993140.4599.96(+40.5)#82101.64(+38.8)#1,427
83.76693140.1799.96(+40.2)#83101.64(+38.5)#1,440
84.78670140.0099.96(+40.0)#84101.64(+38.4)#1,450
85.77882140.0099.96(+40.0)#85101.64(+38.4)#1,455
86.76842138.6799.96(+38.7)#86101.64(+37.0)#1,513
87.78145138.2499.96(+38.3)#87101.64(+36.6)#1,528
88.79738137.9699.96(+38.0)#88101.64(+36.3)#1,541
89.76464137.7999.96(+37.8)#89101.64(+36.1)#1,547
90.77617137.5099.96(+37.5)#90101.64(+35.9)#1,565
91.77476136.8499.96(+36.9)#91101.64(+35.2)#1,602
92.79044136.4399.96(+36.5)#92101.64(+34.8)#1,626
93.75853136.2899.96(+36.3)#93101.64(+34.6)#1,636
94.77994136.2699.96(+36.3)#94101.64(+34.6)#1,637
95.79229136.1199.96(+36.2)#95101.64(+34.5)#1,647
96.77054135.8599.96(+35.9)#96101.64(+34.2)#1,658
97.78008135.4899.96(+35.5)#97101.64(+33.8)#1,685
98.78067135.0799.96(+35.1)#98101.64(+33.4)#1,708
99.76704134.8799.96(+34.9)#99101.64(+33.2)#1,718
100.77591134.7999.96(+34.8)#100101.64(+33.1)#1,721

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Texas?
Top 10 Zip Codes with the Highest Female / Male Ratio in Texas are:
#1
1,236.36
#2
945.45
#3
800.00
#4
635.71
#5
465.00
#6
446.88
#7
400.00
#8
384.00
#9
366.67
#10
351.50
What zip code has the Highest Female / Male Ratio in Texas?
76599 has the Highest Female / Male Ratio in Texas with 1,236.36.
What is the Famale to Male Ratio in the State of Texas?
Famale to Male Ratio in Texas is 99.96.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.