Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA

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Health Diagnosing & Treating
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 PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLoma LindaLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaRancho 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 CanyonTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles

0.0%
15.0%
Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles Map

Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA

Zip Code % Employed vs State vs National
1.9005610.0%5.3%(+4.73)#1246.2%(+3.80)#3,836
2.900499.9%5.3%(+4.56)#1306.2%(+3.62)#4,031
3.900779.8%5.3%(+4.44)#1416.2%(+3.51)#4,168
4.900679.3%5.3%(+3.98)#1596.2%(+3.05)#4,874
5.900248.1%5.3%(+2.80)#2376.2%(+1.87)#7,219
6.900147.6%5.3%(+2.27)#2936.2%(+1.34)#8,557
7.900257.5%5.3%(+2.19)#3096.2%(+1.25)#8,824
8.900417.5%5.3%(+2.15)#3166.2%(+1.22)#8,922
9.900647.0%5.3%(+1.68)#3816.2%(+0.748)#10,380
10.900137.0%5.3%(+1.64)#3916.2%(+0.711)#10,497
11.900396.8%5.3%(+1.52)#4106.2%(+0.589)#10,904
12.900356.7%5.3%(+1.40)#4316.2%(+0.471)#11,266
13.900486.0%5.3%(+0.679)#5706.2%(-0.255)#13,907
14.900365.7%5.3%(+0.368)#6336.2%(-0.566)#15,065
15.900455.4%5.3%(+0.042)#7056.2%(-0.891)#16,349
16.900345.2%5.3%(-0.153)#7446.2%(-1.09)#17,085
17.900295.1%5.3%(-0.218)#7586.2%(-1.15)#17,342
18.900665.0%5.3%(-0.269)#7766.2%(-1.20)#17,535
19.900125.0%5.3%(-0.270)#7776.2%(-1.20)#17,537
20.900435.0%5.3%(-0.298)#7876.2%(-1.23)#17,646
21.900105.0%5.3%(-0.322)#7936.2%(-1.26)#17,762
22.900655.0%5.3%(-0.325)#7956.2%(-1.26)#17,774
23.900204.9%5.3%(-0.438)#8146.2%(-1.37)#18,203
24.900274.8%5.3%(-0.521)#8326.2%(-1.46)#18,537
25.900084.7%5.3%(-0.644)#8546.2%(-1.58)#18,982
26.900474.3%5.3%(-1.03)#9516.2%(-1.97)#20,424
27.900314.3%5.3%(-1.05)#9576.2%(-1.98)#20,483
28.900464.2%5.3%(-1.10)#9666.2%(-2.04)#20,675
29.900424.0%5.3%(-1.29)#1,0086.2%(-2.22)#21,298
30.900184.0%5.3%(-1.35)#1,0216.2%(-2.28)#21,476
31.900043.8%5.3%(-1.48)#1,0526.2%(-2.41)#21,897
32.900193.6%5.3%(-1.66)#1,0806.2%(-2.60)#22,470
33.900623.5%5.3%(-1.84)#1,1146.2%(-2.77)#22,986
34.900323.4%5.3%(-1.88)#1,1206.2%(-2.81)#23,096
35.900153.4%5.3%(-1.91)#1,1296.2%(-2.85)#23,197
36.900053.3%5.3%(-2.06)#1,1506.2%(-2.99)#23,634
37.900163.1%5.3%(-2.17)#1,1706.2%(-3.10)#23,943
38.900213.0%5.3%(-2.28)#1,1856.2%(-3.22)#24,244
39.900263.0%5.3%(-2.35)#1,2006.2%(-3.28)#24,406
40.900683.0%5.3%(-2.35)#1,2016.2%(-3.28)#24,413
41.900592.6%5.3%(-2.67)#1,2506.2%(-3.60)#25,174
42.900572.6%5.3%(-2.73)#1,2596.2%(-3.66)#25,311
43.900382.6%5.3%(-2.73)#1,2606.2%(-3.67)#25,325
44.900402.6%5.3%(-2.73)#1,2616.2%(-3.67)#25,329
45.900172.5%5.3%(-2.82)#1,2776.2%(-3.76)#25,540
46.900282.5%5.3%(-2.84)#1,2806.2%(-3.77)#25,581
47.900612.3%5.3%(-2.97)#1,3016.2%(-3.90)#25,835
48.900222.3%5.3%(-2.99)#1,3076.2%(-3.92)#25,882
49.900072.2%5.3%(-3.08)#1,3206.2%(-4.01)#26,034
50.900631.9%5.3%(-3.37)#1,3546.2%(-4.30)#26,548
51.900111.9%5.3%(-3.37)#1,3556.2%(-4.30)#26,552
52.900331.9%5.3%(-3.41)#1,3626.2%(-4.35)#26,642
53.900061.9%5.3%(-3.42)#1,3656.2%(-4.36)#26,654
54.900031.8%5.3%(-3.55)#1,3826.2%(-4.49)#26,862
55.900441.7%5.3%(-3.58)#1,3846.2%(-4.51)#26,897
56.900371.6%5.3%(-3.74)#1,3956.2%(-4.68)#27,131
57.900021.4%5.3%(-3.95)#1,4126.2%(-4.89)#27,384
58.900011.3%5.3%(-4.00)#1,4176.2%(-4.94)#27,448
59.900231.1%5.3%(-4.24)#1,4336.2%(-5.17)#27,762
60.900890.60%5.3%(-4.71)#1,4636.2%(-5.64)#28,232
61.900580.26%5.3%(-5.05)#1,4736.2%(-5.98)#28,429

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA are:
#1
10.0%
#2
9.9%
#3
9.8%
#4
9.3%
#5
8.1%
#6
7.6%
#7
7.5%
#8
7.5%
#9
7.0%
#10
7.0%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA?
90056 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA with 10.0%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles, CA?
Percentage of Population Employed in Health Diagnosing & Treating in Los Angeles is 4.5%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in California?
Percentage of Population Employed in Health Diagnosing & Treating in California is 5.3%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in the United States?
Percentage of Population Employed in Health Diagnosing & Treating in the United States is 6.2%.