Zip Codes with the Highest Male / Female Ratio in Los Angeles, CA

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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 AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Los Angeles
States
California Cities
AlamedaAlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyDuarteEdwardsEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa JollaLa MesaLa MiradaLa PuenteLake ElsinoreLakewoodLancasterLemooreLivermoreLodiLoma LindaLompocLong BeachLos AltosLos AngelesLos GatosMaderaMalibuMantecaMenifeeMercedMission ViejoModestoMontereyMonterey ParkMoragaMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho CordovaRancho CucamongaRancho Santa FeReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRocklinRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan RafaelSan RamonSanta AnaSanta BarbaraSanta ClaraSanta ClaritaSanta CruzSanta MariaSanta MonicaSanta RosaSherman OaksSimi ValleySpring ValleyStocktonSunnyvaleTemeculaThousand OaksTorranceTrabuco CanyonTracyTurlockTustinTwentynine PalmsUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

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

64.17
894.12
Zip Codes with the Highest Male / Female Ratio in Los Angeles Map

Zip Codes with the Highest Male / Female Ratio in Los Angeles, CA

Zip Code Males / 100 Females vs State vs National
1. 90073 894.12 100.31 (+794)#12 98.38 (+796)#72
2. 90012 160.10 100.31 (+59.8)#91 98.38 (+61.7)#1,455
3. 90013 150.08 100.31 (+49.8)#120 98.38 (+51.7)#1,825
4. 90014 137.40 100.31 (+37.1)#156 98.38 (+39.0)#2,597
5. 90071 125.18 100.31 (+24.9)#210 98.38 (+26.8)#4,079
6. 90015 120.69 100.31 (+20.4)#245 98.38 (+22.3)#4,980
7. 90021 116.93 100.31 (+16.6)#290 98.38 (+18.5)#5,954
8. 90028 116.22 100.31 (+15.9)#303 98.38 (+17.8)#6,201
9. 90038 116.17 100.31 (+15.9)#304 98.38 (+17.8)#6,219
10. 90017 115.47 100.31 (+15.2)#316 98.38 (+17.1)#6,429
11. 90046 115.33 100.31 (+15.0)#318 98.38 (+16.9)#6,477
12. 90057 113.32 100.31 (+13.0)#348 98.38 (+14.9)#7,214
13. 90010 108.11 100.31 (+7.79)#459 98.38 (+9.72)#9,660
14. 90032 106.90 100.31 (+6.59)#504 98.38 (+8.52)#10,457
15. 90025 106.03 100.31 (+5.72)#527 98.38 (+7.65)#11,019
16. 90065 105.95 100.31 (+5.64)#535 98.38 (+7.57)#11,075
17. 90011 105.50 100.31 (+5.18)#563 98.38 (+7.11)#11,395
18. 90022 104.93 100.31 (+4.61)#591 98.38 (+6.55)#11,825
19. 90029 104.85 100.31 (+4.54)#596 98.38 (+6.47)#11,894
20. 90023 104.34 100.31 (+4.02)#622 98.38 (+5.95)#12,290
21. 90042 104.07 100.31 (+3.76)#636 98.38 (+5.69)#12,499
22. 90007 103.77 100.31 (+3.45)#651 98.38 (+5.38)#12,752
23. 90026 103.58 100.31 (+3.27)#661 98.38 (+5.20)#12,908
24. 90004 103.10 100.31 (+2.78)#687 98.38 (+4.71)#13,345
25. 90016 103.02 100.31 (+2.70)#692 98.38 (+4.63)#13,417
26. 90068 102.52 100.31 (+2.20)#719 98.38 (+4.13)#13,871
27. 90041 102.38 100.31 (+2.07)#725 98.38 (+4.00)#13,991
28. 90001 101.93 100.31 (+1.62)#749 98.38 (+3.55)#14,446
29. 90048 101.73 100.31 (+1.42)#761 98.38 (+3.35)#14,631
30. 90039 101.63 100.31 (+1.31)#769 98.38 (+3.24)#14,721
31. 90005 101.52 100.31 (+1.20)#774 98.38 (+3.13)#14,829
32. 90003 101.51 100.31 (+1.19)#777 98.38 (+3.13)#14,838
33. 90037 101.49 100.31 (+1.18)#778 98.38 (+3.11)#14,855
34. 90063 100.98 100.31 (+0.667)#814 98.38 (+2.60)#15,329
35. 90040 100.73 100.31 (+0.415)#836 98.38 (+2.35)#15,605
36. 90066 100.70 100.31 (+0.382)#841 98.38 (+2.31)#15,633
37. 90019 100.66 100.31 (+0.341)#843 98.38 (+2.27)#15,677
38. 90027 100.42 100.31 (+0.106)#866 98.38 (+2.04)#15,908
39. 90020 99.67 100.31 (-0.647)#926 98.38 (+1.28)#16,718
40. 90064 98.93 100.31 (-1.39)#997 98.38 (+0.543)#17,530
41. 90031 97.36 100.31 (-2.95)#1,091 98.38 (-1.02)#19,236
42. 90036 96.93 100.31 (-3.38)#1,120 98.38 (-1.45)#19,705
43. 90018 96.73 100.31 (-3.59)#1,133 98.38 (-1.66)#19,898
44. 90002 96.20 100.31 (-4.11)#1,166 98.38 (-2.18)#20,429
45. 90006 95.45 100.31 (-4.86)#1,211 98.38 (-2.93)#21,197
46. 90034 95.42 100.31 (-4.90)#1,215 98.38 (-2.97)#21,233
47. 90033 95.40 100.31 (-4.92)#1,217 98.38 (-2.99)#21,250
48. 90049 94.13 100.31 (-6.18)#1,306 98.38 (-4.25)#22,537
49. 90044 93.51 100.31 (-6.80)#1,342 98.38 (-4.87)#23,176
50. 90061 92.18 100.31 (-8.14)#1,415 98.38 (-6.21)#24,411
51. 90043 92.02 100.31 (-8.29)#1,425 98.38 (-6.36)#24,548
52. 90062 91.36 100.31 (-8.96)#1,447 98.38 (-7.03)#25,104
53. 90045 89.70 100.31 (-10.6)#1,502 98.38 (-8.68)#26,311
54. 90008 89.06 100.31 (-11.3)#1,516 98.38 (-9.32)#26,698
55. 90077 88.00 100.31 (-12.3)#1,542 98.38 (-10.4)#27,336
56. 90059 87.85 100.31 (-12.5)#1,549 98.38 (-10.5)#27,405
57. 90035 87.84 100.31 (-12.5)#1,550 98.38 (-10.5)#27,409
58. 90047 87.63 100.31 (-12.7)#1,556 98.38 (-10.7)#27,524
59. 90056 83.35 100.31 (-17.0)#1,622 98.38 (-15.0)#29,340
60. 90058 80.20 100.31 (-20.1)#1,650 98.38 (-18.2)#30,213
61. 90089 79.10 100.31 (-21.2)#1,656 98.38 (-19.3)#30,432
62. 90024 74.64 100.31 (-25.7)#1,673 98.38 (-23.7)#31,167
63. 90067 64.17 100.31 (-36.1)#1,701 98.38 (-34.2)#32,010

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Los Angeles, CA?
Top 10 Zip Codes with the Highest Male / Female Ratio in Los Angeles, CA are:
#1
894.12
#2
160.10
#3
150.08
#4
137.40
#5
125.18
#6
120.69
#7
116.93
#8
116.22
#9
116.17
#10
115.47
What zip code has the Highest Male / Female Ratio in Los Angeles, CA?
90073 has the Highest Male / Female Ratio in Los Angeles, CA with 894.12.
What is the Male to Female Ratio in Los Angeles, CA?
Male to Female Ratio in Los Angeles is 100.05.
What is the Male to Female Ratio in California?
Male to Female Ratio in California is 100.31.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.