Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States

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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 AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest 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
United States
Compare Zip Codes
Comparison Subject

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

40.0%
100.0%
Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States Map

Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States

Zip Code % Employed vs State vs National
1.87931, New Mexico100.0%5.9%(+94.1)#16.2%(+93.8)#1
2.23708, Virginia100.0%5.7%(+94.3)#16.2%(+93.8)#2
3.87543, New Mexico100.0%5.9%(+94.1)#26.2%(+93.8)#3
4.31561, Georgia100.0%5.7%(+94.3)#16.2%(+93.8)#4
5.83119, Wyoming100.0%5.9%(+94.1)#16.2%(+93.8)#5
6.91046, California100.0%5.3%(+94.7)#16.2%(+93.8)#6
7.03291, New Hampshire100.0%6.7%(+93.3)#16.2%(+93.8)#7
8.77443, Texas100.0%5.5%(+94.5)#16.2%(+93.8)#8
9.40844, Kentucky100.0%7.2%(+92.8)#16.2%(+93.8)#9
10.43925, Ohio100.0%7.2%(+92.8)#16.2%(+93.8)#10
11.71320, Louisiana100.0%7.2%(+92.8)#16.2%(+93.8)#11
12.76848, Texas100.0%5.5%(+94.5)#26.2%(+93.8)#12
13.76885, Texas100.0%5.5%(+94.5)#36.2%(+93.8)#13
14.33835, Florida100.0%6.4%(+93.6)#16.2%(+93.8)#14
15.36901, Alabama100.0%7.0%(+93.0)#16.2%(+93.8)#15
16.12544, New York100.0%6.6%(+93.4)#16.2%(+93.8)#16
17.92384, California100.0%5.3%(+94.7)#26.2%(+93.8)#17
18.69365, Nebraska100.0%6.2%(+93.8)#16.2%(+93.8)#18
19.13847, New York100.0%6.6%(+93.4)#26.2%(+93.8)#19
20.83354, Idaho100.0%5.6%(+94.4)#16.2%(+93.8)#20
21.39832, Georgia100.0%5.7%(+94.3)#26.2%(+93.8)#21
22.40921, Kentucky84.6%7.2%(+77.4)#26.2%(+78.4)#22
23.24606, Virginia81.0%5.7%(+75.4)#26.2%(+74.8)#23
24.03847, New Hampshire80.8%6.7%(+74.1)#26.2%(+74.6)#24
25.89430, Nevada76.2%4.9%(+71.3)#16.2%(+69.9)#25
26.40110, Kentucky73.5%7.2%(+66.3)#36.2%(+67.3)#26
27.36454, Alabama72.0%7.0%(+65.0)#26.2%(+65.8)#27
28.25174, West Virginia71.7%8.0%(+63.7)#16.2%(+65.4)#28
29.78027, Texas70.5%5.5%(+64.9)#46.2%(+64.2)#29
30.57738, South Dakota69.5%7.5%(+61.9)#16.2%(+63.2)#30
31.97621, Oregon68.2%6.1%(+62.1)#16.2%(+61.9)#31
32.27584, North Carolina66.7%6.4%(+60.2)#16.2%(+60.4)#32
33.99923, Alaska64.0%5.8%(+58.2)#16.2%(+57.8)#33
34.58705, North Dakota62.5%7.6%(+54.9)#16.2%(+56.3)#34
35.13301, New York62.5%6.6%(+55.9)#36.2%(+56.3)#35
36.24981, West Virginia62.1%8.0%(+54.1)#26.2%(+55.8)#36
37.32530, Florida61.9%6.4%(+55.5)#26.2%(+55.7)#37
38.38738, Mississippi61.4%7.8%(+53.5)#16.2%(+55.1)#38
39.41835, Kentucky60.1%7.2%(+52.9)#46.2%(+53.9)#39
40.78563, Texas60.0%5.5%(+54.5)#56.2%(+53.8)#40
41.43007, Ohio60.0%7.2%(+52.8)#26.2%(+53.8)#41
42.41367, Kentucky59.5%7.2%(+52.3)#56.2%(+53.2)#42
43.25047, West Virginia59.3%8.0%(+51.2)#36.2%(+53.0)#43
44.95984, California58.7%5.3%(+53.4)#36.2%(+52.5)#44
45.95671, California58.3%5.3%(+53.0)#46.2%(+52.1)#45
46.17093, Pennsylvania58.2%7.4%(+50.8)#16.2%(+51.9)#46
47.25848, West Virginia57.1%8.0%(+49.1)#46.2%(+50.9)#47
48.15447, Pennsylvania57.0%7.4%(+49.6)#26.2%(+50.7)#48
49.12915, New York56.7%6.6%(+50.1)#46.2%(+50.4)#49
50.88053, New Mexico55.6%5.9%(+49.6)#36.2%(+49.3)#50
51.77991, Texas55.3%5.5%(+49.8)#66.2%(+49.1)#51
52.38731, Mississippi55.0%7.8%(+47.2)#26.2%(+48.8)#52
53.32683, Florida54.7%6.4%(+48.2)#36.2%(+48.4)#53
54.51111, Iowa54.2%6.2%(+48.1)#16.2%(+48.0)#54
55.26546, West Virginia53.2%8.0%(+45.2)#56.2%(+46.9)#55
56.40041, Kentucky52.9%7.2%(+45.7)#66.2%(+46.7)#56
57.45741, Ohio52.1%7.2%(+44.9)#36.2%(+45.8)#57
58.12872, New York51.5%6.6%(+44.9)#56.2%(+45.2)#58
59.24432, Virginia51.2%5.7%(+45.5)#36.2%(+45.0)#59
60.93962, California50.8%5.3%(+45.5)#56.2%(+44.5)#60
61.98430, Washington50.0%5.6%(+44.4)#16.2%(+43.8)#61
62.15562, Pennsylvania50.0%7.4%(+42.6)#36.2%(+43.8)#62
63.47010, Indiana50.0%6.6%(+43.4)#16.2%(+43.8)#63
64.82084, Wyoming50.0%5.9%(+44.1)#26.2%(+43.8)#64
65.78675, Texas50.0%5.5%(+44.5)#76.2%(+43.8)#65
66.06022, Connecticut50.0%6.7%(+43.3)#16.2%(+43.8)#66
67.15353, Pennsylvania50.0%7.4%(+42.6)#46.2%(+43.8)#67
68.04541, Maine50.0%6.8%(+43.2)#16.2%(+43.8)#68
69.21675, Maryland50.0%6.2%(+43.8)#16.2%(+43.8)#69
70.98330, Washington50.0%5.6%(+44.4)#26.2%(+43.8)#70
71.43736, Ohio50.0%7.2%(+42.8)#46.2%(+43.8)#71
72.26293, West Virginia49.7%8.0%(+41.7)#66.2%(+43.5)#72
73.44671, Ohio48.7%7.2%(+41.6)#56.2%(+42.5)#73
74.25911, West Virginia48.5%8.0%(+40.5)#76.2%(+42.2)#74
75.24845, West Virginia48.0%8.0%(+40.0)#86.2%(+41.8)#75
76.72435, Arkansas47.8%7.2%(+40.6)#16.2%(+41.5)#76
77.26254, West Virginia47.4%8.0%(+39.4)#96.2%(+41.1)#77
78.75450, Texas47.3%5.5%(+41.8)#86.2%(+41.1)#78
79.23056, Virginia47.1%5.7%(+41.5)#46.2%(+40.9)#79
80.39174, Mississippi46.9%7.8%(+39.1)#36.2%(+40.7)#80
81.85531, Arizona46.9%5.9%(+41.0)#16.2%(+40.6)#81
82.45677, Ohio46.7%7.2%(+39.5)#66.2%(+40.4)#82
83.96710, Hawaii46.6%5.7%(+40.9)#16.2%(+40.4)#83
84.31318, Georgia46.6%5.7%(+40.8)#36.2%(+40.3)#84
85.93604, California45.5%5.3%(+40.2)#66.2%(+39.3)#85
86.40763, Kentucky45.5%7.2%(+38.2)#76.2%(+39.2)#86
87.71677, Arkansas45.5%7.2%(+38.3)#26.2%(+39.2)#87
88.35477, Alabama45.2%7.0%(+38.1)#36.2%(+38.9)#88
89.23055, Virginia45.1%5.7%(+39.4)#56.2%(+38.9)#89
90.24093, Virginia45.1%5.7%(+39.4)#66.2%(+38.9)#90
91.78943, Texas44.0%5.5%(+38.5)#96.2%(+37.8)#91
92.22972, Virginia43.8%5.7%(+38.1)#76.2%(+37.5)#92
93.98859, Washington43.7%5.6%(+38.1)#36.2%(+37.4)#93
94.04109, Maine43.3%6.8%(+36.5)#26.2%(+37.1)#94
95.15734, Pennsylvania43.2%7.4%(+35.8)#56.2%(+36.9)#95
96.78142, Texas42.9%5.5%(+37.3)#106.2%(+36.6)#96
97.07846, New Jersey42.9%6.2%(+36.6)#16.2%(+36.6)#97
98.14742, New York42.5%6.6%(+35.9)#66.2%(+36.3)#98
99.26058, West Virginia42.5%8.0%(+34.5)#106.2%(+36.2)#99
100.95679, California42.3%5.3%(+37.0)#76.2%(+36.1)#100

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States?
87931 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in the United States with 100.0%.
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%.