Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD

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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 NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest IndiesWestern 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
Baltimore
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD

Zip Code % Employed vs State vs National
1.2123115.0%6.2%(+8.79)#156.2%(+8.75)#1,155
2.2120913.2%6.2%(+6.96)#256.2%(+6.92)#1,684
3.2120111.8%6.2%(+5.56)#336.2%(+5.52)#2,343
4.2120211.3%6.2%(+5.07)#426.2%(+5.04)#2,675
5.2122410.6%6.2%(+4.36)#526.2%(+4.32)#3,253
6.212309.0%6.2%(+2.81)#756.2%(+2.77)#5,358
7.212128.9%6.2%(+2.66)#816.2%(+2.63)#5,592
8.212118.7%6.2%(+2.51)#916.2%(+2.48)#5,898
9.212398.7%6.2%(+2.46)#936.2%(+2.42)#6,002
10.212107.4%6.2%(+1.19)#1366.2%(+1.15)#9,123
11.212066.6%6.2%(+0.398)#1746.2%(+0.361)#11,636
12.212056.3%6.2%(+0.105)#1886.2%(+0.067)#12,716
13.212146.2%6.2%(+0.040)#1936.2%(+0.003)#12,964
14.212135.6%6.2%(-0.608)#2316.2%(-0.645)#15,399
15.212185.5%6.2%(-0.687)#2426.2%(-0.724)#15,709
16.212155.5%6.2%(-0.689)#2436.2%(-0.726)#15,713
17.212174.5%6.2%(-1.75)#2876.2%(-1.79)#19,793
18.212294.5%6.2%(-1.76)#2886.2%(-1.79)#19,820
19.212164.0%6.2%(-2.18)#3176.2%(-2.22)#21,277
20.212231.5%6.2%(-4.69)#3816.2%(-4.72)#27,182
21.212501.3%6.2%(-4.87)#3856.2%(-4.90)#27,409

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD are:
#1
15.0%
#2
13.2%
#3
11.8%
#4
11.3%
#5
10.6%
#6
9.0%
#7
8.9%
#8
8.7%
#9
8.7%
#10
7.4%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD?
21231 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD with 15.0%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in Baltimore, MD?
Percentage of Population Employed in Health Diagnosing & Treating in Baltimore is 7.1%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in Maryland?
Percentage of Population Employed in Health Diagnosing & Treating in Maryland is 6.2%.
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%.