Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico

RELATED REPORTS & OPTIONS

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
New Mexico
Compare Zip Codes
Comparison Subject

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

0.0%
100.0%
Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico Map

Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico

Zip Code % Employed vs State vs National
1. 87931 100.0% 5.9% (+94.1)#1 6.2% (+93.8)#1
2. 87543 100.0% 5.9% (+94.1)#2 6.2% (+93.8)#3
3. 88053 55.6% 5.9% (+49.6)#3 6.2% (+49.3)#50
4. 87564 40.5% 5.9% (+34.5)#4 6.2% (+34.2)#112
5. 87742 36.0% 5.9% (+30.1)#5 6.2% (+29.8)#141
6. 87530 31.3% 5.9% (+25.4)#6 6.2% (+25.1)#200
7. 87939 30.9% 5.9% (+24.9)#7 6.2% (+24.6)#206
8. 88046 25.0% 5.9% (+19.1)#8 6.2% (+18.8)#321
9. 88355 22.1% 5.9% (+16.1)#9 6.2% (+15.8)#428
10. 87017 19.7% 5.9% (+13.7)#10 6.2% (+13.4)#572
11. 87322 19.5% 5.9% (+13.5)#11 6.2% (+13.2)#585
12. 87535 18.4% 5.9% (+12.5)#12 6.2% (+12.1)#670
13. 87006 16.3% 5.9% (+10.3)#13 6.2% (+10.0)#920
14. 87513 15.6% 5.9% (+9.71)#14 6.2% (+9.40)#1,008
15. 87930 15.1% 5.9% (+9.11)#15 6.2% (+8.81)#1,137
16. 87122 14.6% 5.9% (+8.62)#16 6.2% (+8.32)#1,244
17. 87326 14.3% 5.9% (+8.37)#17 6.2% (+8.06)#1,314
18. 87548 14.0% 5.9% (+8.09)#18 6.2% (+7.78)#1,402
19. 88339 12.6% 5.9% (+6.63)#19 6.2% (+6.32)#1,928
20. 87575 12.4% 5.9% (+6.47)#20 6.2% (+6.17)#1,998
21. 87059 12.3% 5.9% (+6.32)#21 6.2% (+6.02)#2,076
22. 87111 11.7% 5.9% (+5.77)#22 6.2% (+5.46)#2,383
23. 88426 11.5% 5.9% (+5.56)#23 6.2% (+5.26)#2,524
24. 87043 11.4% 5.9% (+5.44)#24 6.2% (+5.14)#2,601
25. 88061 11.2% 5.9% (+5.27)#25 6.2% (+4.97)#2,730
26. 87579 11.1% 5.9% (+5.21)#26 6.2% (+4.90)#2,774
27. 87560 11.1% 5.9% (+5.15)#27 6.2% (+4.84)#2,826
28. 87029 11.0% 5.9% (+5.09)#28 6.2% (+4.79)#2,868
29. 88023 10.6% 5.9% (+4.67)#29 6.2% (+4.37)#3,213
30. 87825 10.6% 5.9% (+4.67)#30 6.2% (+4.36)#3,217
31. 87508 10.0% 5.9% (+4.08)#31 6.2% (+3.77)#3,863
32. 87109 9.7% 5.9% (+3.79)#32 6.2% (+3.48)#4,215
33. 88346 9.6% 5.9% (+3.70)#33 6.2% (+3.39)#4,338
34. 87540 9.6% 5.9% (+3.64)#34 6.2% (+3.33)#4,428
35. 88316 9.3% 5.9% (+3.40)#35 6.2% (+3.09)#4,790
36. 87047 9.3% 5.9% (+3.36)#36 6.2% (+3.06)#4,862
37. 88201 9.3% 5.9% (+3.31)#37 6.2% (+3.01)#4,942
38. 88325 9.1% 5.9% (+3.12)#38 6.2% (+2.81)#5,269
39. 88253 9.0% 5.9% (+3.10)#39 6.2% (+2.79)#5,301
40. 87048 9.0% 5.9% (+3.04)#40 6.2% (+2.74)#5,404
41. 87114 8.9% 5.9% (+2.99)#41 6.2% (+2.68)#5,489
42. 87418 8.8% 5.9% (+2.88)#42 6.2% (+2.58)#5,688
43. 87113 8.8% 5.9% (+2.86)#43 6.2% (+2.56)#5,725
44. 88312 8.8% 5.9% (+2.85)#44 6.2% (+2.54)#5,764
45. 87301 8.7% 5.9% (+2.78)#45 6.2% (+2.48)#5,897
46. 87571 8.7% 5.9% (+2.73)#46 6.2% (+2.42)#5,993
47. 87327 8.6% 5.9% (+2.64)#47 6.2% (+2.33)#6,172
48. 88435 8.5% 5.9% (+2.56)#48 6.2% (+2.26)#6,331
49. 87106 8.5% 5.9% (+2.54)#49 6.2% (+2.23)#6,381
50. 87008 8.5% 5.9% (+2.52)#50 6.2% (+2.22)#6,415
51. 88012 8.4% 5.9% (+2.49)#51 6.2% (+2.18)#6,481
52. 88330 8.1% 5.9% (+2.14)#52 6.2% (+1.83)#7,316
53. 88301 8.1% 5.9% (+2.11)#53 6.2% (+1.81)#7,369
54. 87112 8.0% 5.9% (+2.04)#54 6.2% (+1.73)#7,562
55. 87002 7.9% 5.9% (+1.94)#55 6.2% (+1.64)#7,799
56. 87104 7.9% 5.9% (+1.93)#56 6.2% (+1.62)#7,838
57. 87025 7.8% 5.9% (+1.86)#57 6.2% (+1.56)#7,986
58. 88345 7.7% 5.9% (+1.78)#58 6.2% (+1.48)#8,192
59. 88418 7.6% 5.9% (+1.67)#59 6.2% (+1.36)#8,494
60. 87319 7.6% 5.9% (+1.66)#60 6.2% (+1.35)#8,524
61. 87015 7.5% 5.9% (+1.61)#61 6.2% (+1.30)#8,657
62. 88029 7.5% 5.9% (+1.60)#62 6.2% (+1.30)#8,681
63. 87110 7.5% 5.9% (+1.55)#63 6.2% (+1.25)#8,856
64. 87144 7.4% 5.9% (+1.51)#64 6.2% (+1.20)#8,967
65. 88028 7.4% 5.9% (+1.47)#65 6.2% (+1.16)#9,093
66. 87521 7.4% 5.9% (+1.46)#66 6.2% (+1.15)#9,127
67. 87124 7.4% 5.9% (+1.42)#67 6.2% (+1.12)#9,218
68. 87364 7.4% 5.9% (+1.41)#68 6.2% (+1.11)#9,251
69. 87116 7.3% 5.9% (+1.40)#69 6.2% (+1.10)#9,290
70. 87020 7.2% 5.9% (+1.25)#70 6.2% (+0.941)#9,761
71. 88011 7.1% 5.9% (+1.16)#71 6.2% (+0.857)#10,028
72. 87120 7.0% 5.9% (+1.11)#72 6.2% (+0.804)#10,199
73. 87320 7.0% 5.9% (+1.09)#73 6.2% (+0.782)#10,275
74. 87031 7.0% 5.9% (+1.08)#74 6.2% (+0.772)#10,311
75. 87310 6.8% 5.9% (+0.853)#75 6.2% (+0.549)#11,013
76. 87547 6.7% 5.9% (+0.785)#76 6.2% (+0.481)#11,247
77. 87375 6.6% 5.9% (+0.701)#77 6.2% (+0.396)#11,524
78. 87401 6.5% 5.9% (+0.561)#78 6.2% (+0.256)#12,030
79. 88007 6.4% 5.9% (+0.477)#79 6.2% (+0.172)#12,313
80. 87024 6.4% 5.9% (+0.470)#80 6.2% (+0.165)#12,333
81. 88256 6.4% 5.9% (+0.460)#81 6.2% (+0.155)#12,387
82. 87107 6.2% 5.9% (+0.236)#82 6.2% (-0.069)#13,243
83. 87421 6.2% 5.9% (+0.219)#83 6.2% (-0.086)#13,310
84. 87083 6.1% 5.9% (+0.157)#84 6.2% (-0.147)#13,538
85. 88415 6.0% 5.9% (+0.024)#85 6.2% (-0.281)#13,998
86. 87501 6.0% 5.9% (+0.013)#86 6.2% (-0.291)#14,036
87. 87728 5.9% 5.9% (-0.089)#87 6.2% (-0.394)#14,408
88. 87829 5.7% 5.9% (-0.263)#88 6.2% (-0.568)#15,072
89. 88231 5.6% 5.9% (-0.321)#89 6.2% (-0.625)#15,318
90. 88065 5.4% 5.9% (-0.493)#90 6.2% (-0.797)#15,982
91. 87505 5.4% 5.9% (-0.523)#91 6.2% (-0.828)#16,108
92. 87402 5.4% 5.9% (-0.552)#92 6.2% (-0.857)#16,215
93. 88232 5.4% 5.9% (-0.572)#93 6.2% (-0.877)#16,298
94. 87544 5.4% 5.9% (-0.586)#94 6.2% (-0.891)#16,348
95. 87557 5.3% 5.9% (-0.623)#95 6.2% (-0.928)#16,492
96. 88005 5.3% 5.9% (-0.628)#96 6.2% (-0.933)#16,509
97. 88043 5.3% 5.9% (-0.645)#97 6.2% (-0.950)#16,580
98. 87316 5.3% 5.9% (-0.687)#98 6.2% (-0.992)#16,737
99. 88021 5.2% 5.9% (-0.763)#99 6.2% (-1.07)#17,012
100. 88414 5.1% 5.9% (-0.812)#100 6.2% (-1.12)#17,226

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico are:
#1
100.0%
#2
100.0%
#3
55.6%
#4
40.5%
#5
36.0%
#6
31.3%
#7
30.9%
#8
25.0%
#9
22.1%
#10
19.7%
What zip code has the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico?
87931 has the Highest Percentage of Population Employed in Health Diagnosing & Treating in New Mexico with 100.0%.
What is the Percentage of Population Employed in Health Diagnosing & Treating in the State of New Mexico?
Percentage of Population Employed in Health Diagnosing & Treating in New Mexico is 5.9%.
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%.