Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH

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Health Diagnosing & Treating
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Ancestry (Percentage)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Immigrant Origin (Percentage)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
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Poverty (Families)
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Dayton
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Comparison Subject

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

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

Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH

Zip Code % Employed vs State vs National
1.4543412.4%7.2%(+5.24)#726.2%(+6.15)#2,005
2.4540211.8%7.2%(+4.65)#956.2%(+5.55)#2,329
3.4544010.0%7.2%(+2.89)#1646.2%(+3.79)#3,846
4.454589.9%7.2%(+2.76)#1726.2%(+3.66)#3,991
5.454299.3%7.2%(+2.13)#2106.2%(+3.04)#4,885
6.454338.9%7.2%(+1.75)#2486.2%(+2.66)#5,527
7.454268.4%7.2%(+1.23)#2986.2%(+2.13)#6,567
8.454328.0%7.2%(+0.862)#3366.2%(+1.77)#7,467
9.454317.9%7.2%(+0.767)#3466.2%(+1.67)#7,713
10.454597.9%7.2%(+0.730)#3486.2%(+1.64)#7,803
11.454247.6%7.2%(+0.462)#3796.2%(+1.37)#8,478
12.454496.8%7.2%(-0.368)#5056.2%(+0.539)#11,045
13.454146.7%7.2%(-0.462)#5196.2%(+0.445)#11,339
14.454166.3%7.2%(-0.857)#5736.2%(+0.049)#12,772
15.454196.1%7.2%(-1.02)#5956.2%(-0.110)#13,391
16.454306.0%7.2%(-1.11)#6086.2%(-0.202)#13,729
17.454205.5%7.2%(-1.61)#6716.2%(-0.703)#15,627
18.454154.8%7.2%(-2.36)#7776.2%(-1.45)#18,519
19.454104.6%7.2%(-2.52)#8006.2%(-1.61)#19,123
20.454054.6%7.2%(-2.57)#8116.2%(-1.67)#19,344
21.454064.6%7.2%(-2.58)#8136.2%(-1.67)#19,367
22.454044.6%7.2%(-2.58)#8146.2%(-1.67)#19,375
23.454034.5%7.2%(-2.68)#8236.2%(-1.77)#19,722
24.454393.6%7.2%(-3.60)#9246.2%(-2.69)#22,751
25.454093.0%7.2%(-4.13)#9706.2%(-3.22)#24,249
26.454173.0%7.2%(-4.17)#9746.2%(-3.26)#24,365

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH are:
#1
12.4%
#2
11.8%
#3
10.0%
#4
9.9%
#5
9.3%
#6
8.9%
#7
8.4%
#8
8.0%
#9
7.9%
#10
7.9%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH?
45434 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH with 12.4%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in Dayton, OH?
Percentage of Population Employed in Health Diagnosing & Treating in Dayton is 5.1%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in Ohio?
Percentage of Population Employed in Health Diagnosing & Treating in Ohio is 7.2%.
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%.