Zip Codes with the Highest Female Poverty Level in New Mexico

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Highest Poverty | Female
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 Female Poverty Level in New Mexico

20.0%
100.0%
Zip Codes with the Highest Female Poverty Level in New Mexico Map

Zip Codes with the Highest Female Poverty Level in New Mexico

Zip Code Female Poverty vs State vs National
1. 87539 100.0% 19.7% (+80.3)#1 13.7% (+86.3)#24
2. 87735 100.0% 19.7% (+80.3)#2 13.7% (+86.3)#71
3. 88347 100.0% 19.7% (+80.3)#3 13.7% (+86.3)#88
4. 87577 88.6% 19.7% (+69.0)#4 13.7% (+74.9)#134
5. 87018 85.7% 19.7% (+66.0)#5 13.7% (+72.0)#142
6. 87941 82.4% 19.7% (+62.7)#6 13.7% (+68.7)#153
7. 87828 80.1% 19.7% (+60.4)#7 13.7% (+66.4)#161
8. 87530 75.0% 19.7% (+55.4)#8 13.7% (+61.3)#195
9. 87565 72.9% 19.7% (+53.2)#9 13.7% (+59.2)#210
10. 87412 71.7% 19.7% (+52.1)#10 13.7% (+58.0)#220
11. 87831 67.3% 19.7% (+47.7)#11 13.7% (+53.6)#268
12. 88411 65.7% 19.7% (+46.0)#12 13.7% (+52.0)#298
13. 87527 64.0% 19.7% (+44.3)#13 13.7% (+50.3)#319
14. 87046 61.4% 19.7% (+41.7)#14 13.7% (+47.7)#353
15. 87007 60.4% 19.7% (+40.8)#15 13.7% (+46.7)#370
16. 87037 54.8% 19.7% (+35.1)#16 13.7% (+41.1)#499
17. 87825 54.3% 19.7% (+34.6)#17 13.7% (+40.6)#515
18. 87583 52.1% 19.7% (+32.4)#18 13.7% (+38.4)#581
19. 87328 51.7% 19.7% (+32.1)#19 13.7% (+38.0)#596
20. 88053 51.2% 19.7% (+31.5)#20 13.7% (+37.5)#609
21. 87832 51.0% 19.7% (+31.3)#21 13.7% (+37.3)#617
22. 87531 50.3% 19.7% (+30.6)#22 13.7% (+36.6)#645
23. 88065 49.9% 19.7% (+30.2)#23 13.7% (+36.2)#672
24. 88430 49.7% 19.7% (+30.0)#24 13.7% (+36.0)#680
25. 87323 49.2% 19.7% (+29.5)#25 13.7% (+35.5)#698
26. 87045 48.3% 19.7% (+28.6)#26 13.7% (+34.6)#731
27. 88311 47.8% 19.7% (+28.2)#27 13.7% (+34.1)#753
28. 87014 47.4% 19.7% (+27.8)#28 13.7% (+33.7)#774
29. 88042 47.4% 19.7% (+27.7)#29 13.7% (+33.7)#776
30. 87711 47.1% 19.7% (+27.4)#30 13.7% (+33.4)#789
31. 87461 46.7% 19.7% (+27.0)#31 13.7% (+33.0)#801
32. 88072 46.0% 19.7% (+26.3)#32 13.7% (+32.3)#838
33. 87357 45.8% 19.7% (+26.1)#33 13.7% (+32.1)#853
34. 87326 45.6% 19.7% (+25.9)#34 13.7% (+31.9)#868
35. 87325 45.2% 19.7% (+25.5)#35 13.7% (+31.5)#890
36. 87315 44.6% 19.7% (+25.0)#36 13.7% (+30.9)#925
37. 87311 44.0% 19.7% (+24.4)#37 13.7% (+30.3)#953
38. 87820 43.0% 19.7% (+23.3)#38 13.7% (+29.3)#1,026
39. 87317 42.1% 19.7% (+22.4)#39 13.7% (+28.4)#1,092
40. 87013 41.8% 19.7% (+22.1)#40 13.7% (+28.1)#1,105
41. 87320 41.7% 19.7% (+22.1)#41 13.7% (+28.0)#1,109
42. 88039 41.6% 19.7% (+21.9)#42 13.7% (+27.9)#1,119
43. 88001 41.1% 19.7% (+21.4)#43 13.7% (+27.4)#1,152
44. 88027 41.0% 19.7% (+21.3)#44 13.7% (+27.3)#1,158
45. 87310 40.8% 19.7% (+21.1)#45 13.7% (+27.1)#1,175
46. 88346 40.4% 19.7% (+20.7)#46 13.7% (+26.7)#1,209
47. 87040 40.3% 19.7% (+20.6)#47 13.7% (+26.6)#1,218
48. 87322 40.2% 19.7% (+20.6)#48 13.7% (+26.5)#1,223
49. 87937 40.1% 19.7% (+20.4)#49 13.7% (+26.4)#1,231
50. 88051 39.4% 19.7% (+19.7)#50 13.7% (+25.7)#1,288
51. 88038 38.3% 19.7% (+18.7)#51 13.7% (+24.6)#1,401
52. 88023 38.3% 19.7% (+18.6)#52 13.7% (+24.6)#1,409
53. 87821 38.0% 19.7% (+18.3)#53 13.7% (+24.3)#1,434
54. 87936 37.8% 19.7% (+18.2)#54 13.7% (+24.1)#1,446
55. 87931 37.2% 19.7% (+17.6)#55 13.7% (+23.5)#1,513
56. 87064 36.8% 19.7% (+17.2)#56 13.7% (+23.1)#1,555
57. 87537 36.3% 19.7% (+16.6)#57 13.7% (+22.6)#1,624
58. 88265 35.9% 19.7% (+16.3)#58 13.7% (+22.2)#1,677
59. 88252 35.5% 19.7% (+15.8)#59 13.7% (+21.8)#1,747
60. 88063 35.4% 19.7% (+15.7)#60 13.7% (+21.7)#1,756
61. 87712 35.2% 19.7% (+15.5)#61 13.7% (+21.5)#1,800
62. 88026 35.0% 19.7% (+15.3)#62 13.7% (+21.3)#1,822
63. 87734 34.9% 19.7% (+15.3)#63 13.7% (+21.2)#1,832
64. 87313 34.8% 19.7% (+15.1)#64 13.7% (+21.1)#1,853
65. 87063 34.8% 19.7% (+15.1)#65 13.7% (+21.1)#1,861
66. 87108 34.7% 19.7% (+15.1)#66 13.7% (+21.0)#1,873
67. 88353 34.6% 19.7% (+14.9)#67 13.7% (+20.9)#1,893
68. 87729 34.6% 19.7% (+14.9)#68 13.7% (+20.9)#1,894
69. 87327 34.4% 19.7% (+14.8)#69 13.7% (+20.7)#1,921
70. 87027 34.0% 19.7% (+14.3)#70 13.7% (+20.3)#1,994
71. 87560 33.9% 19.7% (+14.2)#71 13.7% (+20.2)#2,004
72. 87375 33.3% 19.7% (+13.6)#72 13.7% (+19.6)#2,111
73. 88232 33.2% 19.7% (+13.6)#73 13.7% (+19.5)#2,120
74. 87830 33.1% 19.7% (+13.5)#74 13.7% (+19.4)#2,141
75. 87580 32.9% 19.7% (+13.2)#75 13.7% (+19.2)#2,179
76. 88132 32.9% 19.7% (+13.2)#76 13.7% (+19.2)#2,184
77. 88047 32.7% 19.7% (+13.1)#77 13.7% (+19.0)#2,212
78. 87364 32.7% 19.7% (+13.0)#78 13.7% (+19.0)#2,215
79. 88336 32.3% 19.7% (+12.6)#79 13.7% (+18.6)#2,297
80. 87319 31.8% 19.7% (+12.1)#80 13.7% (+18.1)#2,407
81. 87102 31.7% 19.7% (+12.0)#81 13.7% (+18.0)#2,424
82. 88340 31.5% 19.7% (+11.8)#82 13.7% (+17.8)#2,453
83. 87416 31.3% 19.7% (+11.6)#83 13.7% (+17.6)#2,496
84. 87062 31.2% 19.7% (+11.5)#84 13.7% (+17.5)#2,526
85. 88021 30.9% 19.7% (+11.2)#85 13.7% (+17.2)#2,594
86. 87417 30.5% 19.7% (+10.8)#86 13.7% (+16.8)#2,684
87. 87035 30.1% 19.7% (+10.4)#87 13.7% (+16.4)#2,800
88. 87001 29.5% 19.7% (+9.79)#88 13.7% (+15.8)#2,960
89. 88203 29.2% 19.7% (+9.50)#89 13.7% (+15.5)#3,034
90. 87575 29.1% 19.7% (+9.39)#90 13.7% (+15.4)#3,066
91. 88401 28.8% 19.7% (+9.08)#91 13.7% (+15.1)#3,155
92. 87569 28.6% 19.7% (+8.97)#92 13.7% (+14.9)#3,186
93. 87020 28.3% 19.7% (+8.65)#93 13.7% (+14.6)#3,279
94. 87106 28.1% 19.7% (+8.39)#94 13.7% (+14.4)#3,352
95. 87301 28.0% 19.7% (+8.35)#95 13.7% (+14.3)#3,363
96. 87747 28.0% 19.7% (+8.34)#96 13.7% (+14.3)#3,369
97. 87942 27.9% 19.7% (+8.21)#97 13.7% (+14.2)#3,409
98. 87742 27.6% 19.7% (+7.97)#98 13.7% (+13.9)#3,483
99. 87420 27.6% 19.7% (+7.96)#99 13.7% (+13.9)#3,488
100. 88230 27.4% 19.7% (+7.76)#100 13.7% (+13.7)#3,540

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in New Mexico?
Top 10 Zip Codes with the Highest Female Poverty Level in New Mexico are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
88.6%
#5
85.7%
#6
82.4%
#7
80.1%
#8
75.0%
#9
72.9%
#10
71.7%
What zip code has the Highest Female Poverty Level in New Mexico?
87539 has the Highest Female Poverty Level in New Mexico with 100.0%.
What is the Poverty Level Among Females in the State of New Mexico?
Poverty Level Among Females in New Mexico is 19.7%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.