Zip Codes with the Highest Male / Female Ratio in Houston, TX

RELATED REPORTS & OPTIONS

Male / Female Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth 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)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth 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
Houston
Compare Zip Codes
Comparison Subject

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

0.00
400.00
Zip Codes with the Highest Male / Female Ratio in Houston Map

Zip Codes with the Highest Male / Female Ratio in Houston, TX

Zip Code Males / 100 Females vs State vs National
1.77002309.94100.04(+210)#1498.38(+212)#303
2.77012128.08100.04(+28.0)#22498.38(+29.7)#3,665
3.77039119.57100.04(+19.5)#30798.38(+21.2)#5,257
4.77058117.83100.04(+17.8)#33398.38(+19.4)#5,688
5.77013117.12100.04(+17.1)#34198.38(+18.7)#5,910
6.77003116.64100.04(+16.6)#35198.38(+18.3)#6,067
7.77007116.59100.04(+16.6)#35398.38(+18.2)#6,087
8.77068116.55100.04(+16.5)#35598.38(+18.2)#6,102
9.77006116.08100.04(+16.0)#36498.38(+17.7)#6,246
10.77015115.55100.04(+15.5)#37498.38(+17.2)#6,399
11.77037115.00100.04(+15.0)#38798.38(+16.6)#6,591
12.77038114.70100.04(+14.7)#39498.38(+16.3)#6,699
13.77009113.24100.04(+13.2)#41898.38(+14.9)#7,239
14.77059112.10100.04(+12.1)#44198.38(+13.7)#7,692
15.77080111.10100.04(+11.1)#46598.38(+12.7)#8,136
16.77073110.70100.04(+10.7)#47298.38(+12.3)#8,314
17.77014110.54100.04(+10.5)#48098.38(+12.2)#8,385
18.77011110.06100.04(+10.0)#49298.38(+11.7)#8,634
19.77049108.96100.04(+8.92)#52098.38(+10.6)#9,175
20.77017108.33100.04(+8.29)#53998.38(+9.94)#9,524
21.77057107.59100.04(+7.55)#56798.38(+9.21)#9,978
22.77081106.74100.04(+6.70)#61198.38(+8.35)#10,573
23.77094105.99100.04(+5.95)#63898.38(+7.61)#11,041
24.77063105.77100.04(+5.73)#64598.38(+7.39)#11,197
25.77093105.21100.04(+5.16)#67198.38(+6.82)#11,616
26.77064105.06100.04(+5.02)#67898.38(+6.68)#11,715
27.77092104.93100.04(+4.89)#68698.38(+6.55)#11,823
28.77004104.85100.04(+4.81)#69198.38(+6.46)#11,899
29.77099104.33100.04(+4.29)#71698.38(+5.95)#12,292
30.77060104.17100.04(+4.13)#72798.38(+5.78)#12,433
31.77089104.04100.04(+4.00)#73498.38(+5.65)#12,522
32.77041104.03100.04(+3.99)#73598.38(+5.64)#12,529
33.77056102.86100.04(+2.82)#77998.38(+4.47)#13,569
34.77018102.42100.04(+2.38)#80098.38(+4.04)#13,958
35.77091102.37100.04(+2.33)#80398.38(+3.98)#14,001
36.77040102.24100.04(+2.20)#81298.38(+3.86)#14,128
37.77031102.08100.04(+2.04)#82498.38(+3.70)#14,279
38.77036101.65100.04(+1.61)#84298.38(+3.26)#14,706
39.77066101.55100.04(+1.51)#85098.38(+3.17)#14,794
40.77008101.45100.04(+1.41)#85698.38(+3.07)#14,889
41.77023101.35100.04(+1.31)#86198.38(+2.96)#14,981
42.77053101.01100.04(+0.965)#88198.38(+2.62)#15,302
43.77050100.91100.04(+0.871)#89098.38(+2.53)#15,411
44.77055100.80100.04(+0.756)#89498.38(+2.41)#15,520
45.77005100.20100.04(+0.156)#92598.38(+1.81)#16,118
46.7707599.58100.04(-0.461)#96998.38(+1.20)#16,809
47.7703499.43100.04(-0.613)#97998.38(+1.04)#16,965
48.7708799.24100.04(-0.805)#99998.38(+0.851)#17,188
49.7707299.10100.04(-0.944)#1,00898.38(+0.712)#17,330
50.7706798.69100.04(-1.35)#1,03198.38(+0.310)#17,775
51.7709098.27100.04(-1.77)#1,06198.38(-0.116)#18,235
52.7704597.86100.04(-2.18)#1,08698.38(-0.528)#18,704
53.7704497.63100.04(-2.41)#1,09998.38(-0.753)#18,930
54.7702097.53100.04(-2.51)#1,10898.38(-0.850)#19,043
55.7702297.53100.04(-2.51)#1,10998.38(-0.858)#19,054
56.7707796.68100.04(-3.36)#1,16698.38(-1.70)#19,937
57.7709596.67100.04(-3.37)#1,16898.38(-1.72)#19,956
58.7707896.54100.04(-3.50)#1,17798.38(-1.85)#20,088
59.7703396.45100.04(-3.59)#1,18498.38(-1.94)#20,177
60.7702795.70100.04(-4.34)#1,23498.38(-2.68)#20,940
61.7706295.33100.04(-4.71)#1,25198.38(-3.05)#21,312
62.7708694.97100.04(-5.07)#1,28398.38(-3.42)#21,692
63.7702994.86100.04(-5.18)#1,29098.38(-3.52)#21,799
64.7707994.83100.04(-5.21)#1,29398.38(-3.55)#21,830
65.7708594.50100.04(-5.54)#1,31598.38(-3.88)#22,173
66.7708894.00100.04(-6.04)#1,34598.38(-4.38)#22,666
67.7702593.96100.04(-6.09)#1,35298.38(-4.43)#22,720
68.7706993.28100.04(-6.76)#1,39598.38(-5.10)#23,402
69.7701993.13100.04(-6.92)#1,40598.38(-5.26)#23,562
70.7707192.95100.04(-7.09)#1,41898.38(-5.43)#23,725
71.7707092.94100.04(-7.10)#1,41998.38(-5.44)#23,735
72.7707492.91100.04(-7.13)#1,42098.38(-5.48)#23,767
73.7704292.31100.04(-7.73)#1,45498.38(-6.07)#24,297
74.7704391.94100.04(-8.10)#1,47398.38(-6.45)#24,619
75.7707691.54100.04(-8.50)#1,49398.38(-6.84)#24,955
76.7702490.92100.04(-9.12)#1,51998.38(-7.47)#25,450
77.7709690.77100.04(-9.27)#1,52898.38(-7.62)#25,571
78.7701690.14100.04(-9.90)#1,55798.38(-8.25)#26,024
79.7708390.11100.04(-9.93)#1,55998.38(-8.27)#26,042
80.7701089.80100.04(-10.2)#1,57498.38(-8.59)#26,255
81.7703589.74100.04(-10.3)#1,57698.38(-8.64)#26,290
82.7706189.27100.04(-10.8)#1,58598.38(-9.11)#26,577
83.7708488.78100.04(-11.3)#1,59798.38(-9.61)#26,888
84.7703288.78100.04(-11.3)#1,59898.38(-9.61)#26,889
85.7703088.69100.04(-11.4)#1,60098.38(-9.69)#26,934
86.7704888.51100.04(-11.5)#1,60698.38(-9.87)#27,049
87.7704688.29100.04(-11.8)#1,61298.38(-10.1)#27,178
88.7705188.08100.04(-12.0)#1,62298.38(-10.3)#27,300
89.7709887.43100.04(-12.6)#1,63898.38(-11.0)#27,635
90.7702686.96100.04(-13.1)#1,64998.38(-11.4)#27,862
91.7702886.88100.04(-13.2)#1,65198.38(-11.5)#27,909
92.7708286.18100.04(-13.9)#1,66498.38(-12.2)#28,240
93.7706586.15100.04(-13.9)#1,66698.38(-12.2)#28,257
94.7704783.97100.04(-16.1)#1,70898.38(-14.4)#29,140
95.7720481.55100.04(-18.5)#1,73798.38(-16.8)#29,891
96.7702175.39100.04(-24.7)#1,80698.38(-23.0)#31,062
97.7705473.61100.04(-26.4)#1,81998.38(-24.8)#31,277

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Houston, TX?
Top 10 Zip Codes with the Highest Male / Female Ratio in Houston, TX are:
#1
309.94
#2
128.08
#3
119.57
#4
117.83
#5
117.12
#6
116.64
#7
116.59
#8
116.55
#9
116.08
#10
115.55
What zip code has the Highest Male / Female Ratio in Houston, TX?
77002 has the Highest Male / Female Ratio in Houston, TX with 309.94.
What is the Male to Female Ratio in Houston, TX?
Male to Female Ratio in Houston is 98.98.
What is the Male to Female Ratio in Texas?
Male to Female Ratio in Texas is 100.04.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.