Zip Codes with the Highest Male / Female Ratio in Dallas, 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 NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
Dallas
Compare Zip Codes
Comparison Subject

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

0.00
500.00
Zip Codes with the Highest Male / Female Ratio in Dallas Map

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

Zip Code Males / 100 Females vs State vs National
1.75207405.92100.04(+306)#1098.38(+308)#199
2.75247266.05100.04(+166)#2098.38(+168)#393
3.75202146.04100.04(+46.0)#13798.38(+47.7)#2,044
4.75246133.99100.04(+33.9)#19298.38(+35.6)#2,955
5.75220125.45100.04(+25.4)#24198.38(+27.1)#4,052
6.75219124.06100.04(+24.0)#26498.38(+25.7)#4,301
7.75204118.99100.04(+19.0)#31498.38(+20.6)#5,385
8.75223118.08100.04(+18.0)#33198.38(+19.7)#5,616
9.75231117.53100.04(+17.5)#33798.38(+19.1)#5,772
10.75235110.77100.04(+10.7)#46998.38(+12.4)#8,271
11.75208110.59100.04(+10.5)#47898.38(+12.2)#8,360
12.75226109.95100.04(+9.91)#49998.38(+11.6)#8,688
13.75229108.86100.04(+8.82)#52198.38(+10.5)#9,223
14.75206108.54100.04(+8.50)#53098.38(+10.2)#9,402
15.75201107.80100.04(+7.76)#55698.38(+9.41)#9,857
16.75240106.96100.04(+6.92)#60198.38(+8.57)#10,423
17.75203103.57100.04(+3.53)#75198.38(+5.18)#12,924
18.75249102.30100.04(+2.26)#80898.38(+3.92)#14,074
19.75217100.41100.04(+0.373)#91498.38(+2.03)#15,914
20.75227100.26100.04(+0.224)#92298.38(+1.88)#16,049
21.7520999.80100.04(-0.237)#95298.38(+1.42)#16,593
22.7525499.67100.04(-0.369)#96298.38(+1.29)#16,711
23.7523499.13100.04(-0.912)#1,00598.38(+0.745)#17,301
24.7522498.35100.04(-1.69)#1,05498.38(-0.036)#18,133
25.7522898.25100.04(-1.80)#1,06498.38(-0.139)#18,259
26.7521897.04100.04(-3.00)#1,14698.38(-1.34)#19,588
27.7525396.70100.04(-3.34)#1,16498.38(-1.68)#19,926
28.7524396.05100.04(-3.99)#1,21498.38(-2.34)#20,587
29.7520595.76100.04(-4.28)#1,23398.38(-2.62)#20,880
30.7523395.32100.04(-4.72)#1,25398.38(-3.06)#21,318
31.7521195.04100.04(-5.00)#1,27598.38(-3.35)#21,622
32.7521494.68100.04(-5.36)#1,30298.38(-3.70)#21,985
33.7521693.97100.04(-6.07)#1,35098.38(-4.42)#22,702
34.7524893.94100.04(-6.10)#1,35398.38(-4.44)#22,733
35.7521293.34100.04(-6.70)#1,38798.38(-5.04)#23,340
36.7524493.17100.04(-6.87)#1,40298.38(-5.21)#23,515
37.7525293.03100.04(-7.01)#1,41098.38(-5.36)#23,644
38.7521592.95100.04(-7.09)#1,41798.38(-5.43)#23,722
39.7523891.63100.04(-8.41)#1,48698.38(-6.76)#24,877
40.7522590.24100.04(-9.80)#1,54998.38(-8.14)#25,936
41.7528790.21100.04(-9.83)#1,55298.38(-8.18)#25,968
42.7523289.60100.04(-10.4)#1,57798.38(-8.79)#26,368
43.7524187.66100.04(-12.4)#1,63198.38(-10.7)#27,513
44.7523086.63100.04(-13.4)#1,65498.38(-11.8)#28,032
45.7525185.96100.04(-14.1)#1,66998.38(-12.4)#28,336
46.7521085.81100.04(-14.2)#1,67498.38(-12.6)#28,396
47.7523782.59100.04(-17.4)#1,71998.38(-15.8)#29,570
48.7523681.04100.04(-19.0)#1,74398.38(-17.3)#30,016

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Dallas, TX?
Top 10 Zip Codes with the Highest Male / Female Ratio in Dallas, TX are:
#1
405.92
#2
266.05
#3
146.04
#4
133.99
#5
125.45
#6
124.06
#7
118.99
#8
118.08
#9
117.53
#10
110.77
What zip code has the Highest Male / Female Ratio in Dallas, TX?
75207 has the Highest Male / Female Ratio in Dallas, TX with 405.92.
What is the Male to Female Ratio in Dallas, TX?
Male to Female Ratio in Dallas is 99.59.
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.