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

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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 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 Female / Male Ratio in Los Angeles

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

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

Zip Code Females / 100 Males vs State vs National
1.90067155.8399.69(+56.1)#48101.64(+54.2)#925
2.90024133.9799.69(+34.3)#76101.64(+32.3)#1,768
3.90089126.4399.69(+26.7)#93101.64(+24.8)#2,503
4.90058124.6999.69(+25.0)#99101.64(+23.0)#2,722
5.90056119.9899.69(+20.3)#127101.64(+18.3)#3,595
6.90047114.1199.69(+14.4)#193101.64(+12.5)#5,411
7.90035113.8499.69(+14.2)#199101.64(+12.2)#5,526
8.90059113.8399.69(+14.1)#200101.64(+12.2)#5,530
9.90077113.6399.69(+13.9)#207101.64(+12.0)#5,599
10.90008112.2899.69(+12.6)#233101.64(+10.6)#6,237
11.90045111.4899.69(+11.8)#247101.64(+9.84)#6,624
12.90062109.4699.69(+9.77)#302101.64(+7.82)#7,831
13.90043108.6799.69(+8.98)#324101.64(+7.03)#8,387
14.90061108.4999.69(+8.80)#334101.64(+6.84)#8,524
15.90044106.9499.69(+7.25)#407101.64(+5.30)#9,759
16.90049106.2499.69(+6.55)#443101.64(+4.59)#10,398
17.90033104.8399.69(+5.14)#532101.64(+3.18)#11,685
18.90034104.8099.69(+5.12)#534101.64(+3.16)#11,702
19.90006104.7799.69(+5.08)#538101.64(+3.12)#11,738
20.90002103.9599.69(+4.26)#583101.64(+2.31)#12,506
21.90018103.3899.69(+3.70)#616101.64(+1.74)#13,037
22.90036103.1699.69(+3.48)#629101.64(+1.52)#13,230
23.90031102.7199.69(+3.02)#658101.64(+1.07)#13,699
24.90064101.0899.69(+1.40)#752101.64(-0.558)#15,405
25.90020100.3399.69(+0.647)#823101.64(-1.31)#16,217
26.9002799.5899.69(-0.105)#883101.64(-2.06)#17,027
27.9001999.3599.69(-0.337)#906101.64(-2.29)#17,258
28.9006699.3199.69(-0.379)#908101.64(-2.33)#17,302
29.9004099.2899.69(-0.410)#913101.64(-2.37)#17,330
30.9006399.0399.69(-0.659)#935101.64(-2.61)#17,606
31.9003798.5399.69(-1.16)#971101.64(-3.11)#18,080
32.9000398.5199.69(-1.17)#972101.64(-3.13)#18,097
33.9000598.5199.69(-1.18)#975101.64(-3.14)#18,106
34.9003998.4099.69(-1.29)#980101.64(-3.24)#18,214
35.9004898.3099.69(-1.39)#988101.64(-3.34)#18,304
36.9000198.1099.69(-1.58)#1,000101.64(-3.54)#18,489
37.9004197.6899.69(-2.01)#1,024101.64(-3.97)#18,944
38.9006897.5499.69(-2.14)#1,030101.64(-4.10)#19,064
39.9001697.0799.69(-2.61)#1,057101.64(-4.57)#19,518
40.9000497.0099.69(-2.69)#1,062101.64(-4.65)#19,590
41.9002696.5499.69(-3.14)#1,088101.64(-5.10)#20,027
42.9000796.3799.69(-3.32)#1,098101.64(-5.27)#20,183
43.9004296.0899.69(-3.60)#1,113101.64(-5.56)#20,436
44.9002395.8499.69(-3.84)#1,127101.64(-5.80)#20,645
45.9002995.3799.69(-4.32)#1,153101.64(-6.27)#21,041
46.9002295.3099.69(-4.38)#1,158101.64(-6.34)#21,110
47.9001194.7999.69(-4.90)#1,186101.64(-6.85)#21,540
48.9006594.3899.69(-5.30)#1,214101.64(-7.26)#21,860
49.9002594.3199.69(-5.38)#1,222101.64(-7.33)#21,916
50.9003293.5499.69(-6.14)#1,245101.64(-8.10)#22,478
51.9001092.5099.69(-7.18)#1,290101.64(-9.14)#23,275
52.9005788.2499.69(-11.4)#1,401101.64(-13.4)#25,721
53.9004686.7199.69(-13.0)#1,431101.64(-14.9)#26,458
54.9001786.6199.69(-13.1)#1,433101.64(-15.0)#26,506
55.9003886.0899.69(-13.6)#1,445101.64(-15.6)#26,716
56.9002886.0499.69(-13.6)#1,446101.64(-15.6)#26,734
57.9002185.5299.69(-14.2)#1,459101.64(-16.1)#26,981
58.9001582.8699.69(-16.8)#1,504101.64(-18.8)#27,955
59.9007179.8999.69(-19.8)#1,539101.64(-21.8)#28,857
60.9001472.7899.69(-26.9)#1,593101.64(-28.9)#30,338
61.9001366.6399.69(-33.1)#1,629101.64(-35.0)#31,110
62.9001262.4699.69(-37.2)#1,658101.64(-39.2)#31,480
63.9007311.1899.69(-88.5)#1,737101.64(-90.5)#32,863

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Los Angeles, CA?
Top 10 Zip Codes with the Highest Female / Male Ratio in Los Angeles, CA are:
#1
155.83
#2
133.97
#3
126.43
#4
124.69
#5
119.98
#6
114.11
#7
113.84
#8
113.83
#9
113.63
#10
112.28
What zip code has the Highest Female / Male Ratio in Los Angeles, CA?
90067 has the Highest Female / Male Ratio in Los Angeles, CA with 155.83.
What is the Famale to Male Ratio in Los Angeles, CA?
Famale to Male Ratio in Los Angeles is 99.95.
What is the Famale to Male Ratio in California?
Famale to Male Ratio in California is 99.69.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.