Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in San Diego, 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 NativeAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
San Diego
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 San Diego

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

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

Zip Code % Employed vs State vs National
1.9210812.3%5.3%(+7.02)#616.2%(+6.08)#2,045
2.9212110.7%5.3%(+5.43)#976.2%(+4.49)#3,107
3.921249.9%5.3%(+4.55)#1326.2%(+3.62)#4,044
4.921239.5%5.3%(+4.16)#1536.2%(+3.23)#4,580
5.921309.2%5.3%(+3.90)#1646.2%(+2.97)#5,001
6.921078.6%5.3%(+3.31)#2016.2%(+2.38)#6,095
7.921278.4%5.3%(+3.08)#2166.2%(+2.15)#6,542
8.921198.4%5.3%(+3.07)#2196.2%(+2.13)#6,574
9.921318.3%5.3%(+2.95)#2286.2%(+2.01)#6,873
10.921018.0%5.3%(+2.67)#2496.2%(+1.74)#7,547
11.921397.5%5.3%(+2.15)#3186.2%(+1.22)#8,934
12.921047.3%5.3%(+2.03)#3376.2%(+1.09)#9,302
13.921097.2%5.3%(+1.90)#3536.2%(+0.968)#9,678
14.921297.2%5.3%(+1.86)#3586.2%(+0.930)#9,801
15.921037.0%5.3%(+1.64)#3926.2%(+0.706)#10,511
16.921066.9%5.3%(+1.56)#4046.2%(+0.624)#10,783
17.921206.9%5.3%(+1.56)#4056.2%(+0.622)#10,788
18.921266.5%5.3%(+1.23)#4596.2%(+0.300)#11,870
19.921286.5%5.3%(+1.23)#4606.2%(+0.297)#11,882
20.921106.5%5.3%(+1.18)#4706.2%(+0.242)#12,071
21.921166.4%5.3%(+1.04)#4986.2%(+0.111)#12,545
22.921116.3%5.3%(+1.03)#5006.2%(+0.099)#12,588
23.921175.9%5.3%(+0.568)#5926.2%(-0.365)#14,315
24.921225.7%5.3%(+0.404)#6256.2%(-0.530)#14,924
25.921144.9%5.3%(-0.393)#8056.2%(-1.33)#18,029
26.921024.1%5.3%(-1.17)#9826.2%(-2.10)#20,910
27.921153.9%5.3%(-1.36)#1,0256.2%(-2.30)#21,521
28.921543.2%5.3%(-2.10)#1,1606.2%(-3.04)#23,756
29.921053.1%5.3%(-2.26)#1,1816.2%(-3.19)#24,170
30.921132.5%5.3%(-2.83)#1,2796.2%(-3.77)#25,572

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in San Diego, CA?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in San Diego, CA are:
#1
12.3%
#2
10.7%
#3
9.9%
#4
9.5%
#5
9.2%
#6
8.6%
#7
8.4%
#8
8.4%
#9
8.3%
#10
8.0%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in San Diego, CA?
92108 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in San Diego, CA with 12.3%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in San Diego, CA?
Percentage of Population Employed in Health Diagnosing & Treating in San Diego is 6.5%.
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%.