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

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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
1.90073894.12100.31(+794)#1298.38(+796)#72
2.90012160.10100.31(+59.8)#9198.38(+61.7)#1,455
3.90013150.08100.31(+49.8)#12098.38(+51.7)#1,825
4.90014137.40100.31(+37.1)#15698.38(+39.0)#2,597
5.90071125.18100.31(+24.9)#21098.38(+26.8)#4,079
6.90015120.69100.31(+20.4)#24598.38(+22.3)#4,980
7.90021116.93100.31(+16.6)#29098.38(+18.5)#5,954
8.90028116.22100.31(+15.9)#30398.38(+17.8)#6,201
9.90038116.17100.31(+15.9)#30498.38(+17.8)#6,219
10.90017115.47100.31(+15.2)#31698.38(+17.1)#6,429
11.90046115.33100.31(+15.0)#31898.38(+16.9)#6,477
12.90057113.32100.31(+13.0)#34898.38(+14.9)#7,214
13.90010108.11100.31(+7.79)#45998.38(+9.72)#9,660
14.90032106.90100.31(+6.59)#50498.38(+8.52)#10,457
15.90025106.03100.31(+5.72)#52798.38(+7.65)#11,019
16.90065105.95100.31(+5.64)#53598.38(+7.57)#11,075
17.90011105.50100.31(+5.18)#56398.38(+7.11)#11,395
18.90022104.93100.31(+4.61)#59198.38(+6.55)#11,825
19.90029104.85100.31(+4.54)#59698.38(+6.47)#11,894
20.90023104.34100.31(+4.02)#62298.38(+5.95)#12,290
21.90042104.07100.31(+3.76)#63698.38(+5.69)#12,499
22.90007103.77100.31(+3.45)#65198.38(+5.38)#12,752
23.90026103.58100.31(+3.27)#66198.38(+5.20)#12,908
24.90004103.10100.31(+2.78)#68798.38(+4.71)#13,345
25.90016103.02100.31(+2.70)#69298.38(+4.63)#13,417
26.90068102.52100.31(+2.20)#71998.38(+4.13)#13,871
27.90041102.38100.31(+2.07)#72598.38(+4.00)#13,991
28.90001101.93100.31(+1.62)#74998.38(+3.55)#14,446
29.90048101.73100.31(+1.42)#76198.38(+3.35)#14,631
30.90039101.63100.31(+1.31)#76998.38(+3.24)#14,721
31.90005101.52100.31(+1.20)#77498.38(+3.13)#14,829
32.90003101.51100.31(+1.19)#77798.38(+3.13)#14,838
33.90037101.49100.31(+1.18)#77898.38(+3.11)#14,855
34.90063100.98100.31(+0.667)#81498.38(+2.60)#15,329
35.90040100.73100.31(+0.415)#83698.38(+2.35)#15,605
36.90066100.70100.31(+0.382)#84198.38(+2.31)#15,633
37.90019100.66100.31(+0.341)#84398.38(+2.27)#15,677
38.90027100.42100.31(+0.106)#86698.38(+2.04)#15,908
39.9002099.67100.31(-0.647)#92698.38(+1.28)#16,718
40.9006498.93100.31(-1.39)#99798.38(+0.543)#17,530
41.9003197.36100.31(-2.95)#1,09198.38(-1.02)#19,236
42.9003696.93100.31(-3.38)#1,12098.38(-1.45)#19,705
43.9001896.73100.31(-3.59)#1,13398.38(-1.66)#19,898
44.9000296.20100.31(-4.11)#1,16698.38(-2.18)#20,429
45.9000695.45100.31(-4.86)#1,21198.38(-2.93)#21,197
46.9003495.42100.31(-4.90)#1,21598.38(-2.97)#21,233
47.9003395.40100.31(-4.92)#1,21798.38(-2.99)#21,250
48.9004994.13100.31(-6.18)#1,30698.38(-4.25)#22,537
49.9004493.51100.31(-6.80)#1,34298.38(-4.87)#23,176
50.9006192.18100.31(-8.14)#1,41598.38(-6.21)#24,411
51.9004392.02100.31(-8.29)#1,42598.38(-6.36)#24,548
52.9006291.36100.31(-8.96)#1,44798.38(-7.03)#25,104
53.9004589.70100.31(-10.6)#1,50298.38(-8.68)#26,311
54.9000889.06100.31(-11.3)#1,51698.38(-9.32)#26,698
55.9007788.00100.31(-12.3)#1,54298.38(-10.4)#27,336
56.9005987.85100.31(-12.5)#1,54998.38(-10.5)#27,405
57.9003587.84100.31(-12.5)#1,55098.38(-10.5)#27,409
58.9004787.63100.31(-12.7)#1,55698.38(-10.7)#27,524
59.9005683.35100.31(-17.0)#1,62298.38(-15.0)#29,340
60.9005880.20100.31(-20.1)#1,65098.38(-18.2)#30,213
61.9008979.10100.31(-21.2)#1,65698.38(-19.3)#30,432
62.9002474.64100.31(-25.7)#1,67398.38(-23.7)#31,167
63.9006764.17100.31(-36.1)#1,70198.38(-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.