Zip Codes with the Highest Poverty Level Among Single Mothers in New Mexico

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Highest Poverty | Single Mother
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 Poverty Level Among Single Mothers in New Mexico

40.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in New Mexico Map

Zip Codes with the Highest Poverty Level Among Single Mothers in New Mexico

Zip Code Single Mother Poverty vs State vs National
1. 87116 100.0% 38.4% (+61.6)#1 33.1% (+66.9)#28
2. 87415 100.0% 38.4% (+61.6)#2 33.1% (+66.9)#103
3. 88256 100.0% 38.4% (+61.6)#3 33.1% (+66.9)#144
4. 87560 100.0% 38.4% (+61.6)#4 33.1% (+66.9)#217
5. 88119 100.0% 38.4% (+61.6)#5 33.1% (+66.9)#226
6. 87942 100.0% 38.4% (+61.6)#6 33.1% (+66.9)#241
7. 88301 100.0% 38.4% (+61.6)#7 33.1% (+66.9)#334
8. 88426 100.0% 38.4% (+61.6)#8 33.1% (+66.9)#436
9. 87530 100.0% 38.4% (+61.6)#9 33.1% (+66.9)#486
10. 88020 100.0% 38.4% (+61.6)#10 33.1% (+66.9)#607
11. 87931 100.0% 38.4% (+61.6)#11 33.1% (+66.9)#677
12. 87014 100.0% 38.4% (+61.6)#12 33.1% (+66.9)#792
13. 87577 100.0% 38.4% (+61.6)#13 33.1% (+66.9)#796
14. 87040 100.0% 38.4% (+61.6)#14 33.1% (+66.9)#927
15. 87063 100.0% 38.4% (+61.6)#15 33.1% (+66.9)#1,051
16. 87565 100.0% 38.4% (+61.6)#16 33.1% (+66.9)#1,097
17. 87517 100.0% 38.4% (+61.6)#17 33.1% (+66.9)#1,156
18. 87827 100.0% 38.4% (+61.6)#18 33.1% (+66.9)#1,196
19. 87347 100.0% 38.4% (+61.6)#19 33.1% (+66.9)#1,263
20. 88430 100.0% 38.4% (+61.6)#20 33.1% (+66.9)#1,300
21. 87937 93.7% 38.4% (+55.2)#21 33.1% (+60.5)#1,598
22. 87037 92.7% 38.4% (+54.2)#22 33.1% (+59.5)#1,624
23. 88124 90.9% 38.4% (+52.5)#23 33.1% (+57.8)#1,674
24. 87527 88.7% 38.4% (+50.3)#24 33.1% (+55.6)#1,755
25. 88232 86.8% 38.4% (+48.3)#25 33.1% (+53.6)#1,835
26. 87083 85.7% 38.4% (+47.3)#26 33.1% (+52.6)#1,906
27. 87042 85.3% 38.4% (+46.9)#27 33.1% (+52.2)#1,922
28. 87045 84.3% 38.4% (+45.9)#28 33.1% (+51.2)#1,962
29. 88346 83.5% 38.4% (+45.0)#29 33.1% (+50.3)#1,997
30. 88353 83.3% 38.4% (+44.9)#30 33.1% (+50.2)#2,029
31. 87747 82.7% 38.4% (+44.3)#31 33.1% (+49.6)#2,064
32. 87020 79.2% 38.4% (+40.8)#32 33.1% (+46.1)#2,292
33. 87537 79.1% 38.4% (+40.7)#33 33.1% (+46.0)#2,301
34. 87034 78.9% 38.4% (+40.5)#34 33.1% (+45.8)#2,311
35. 87825 78.0% 38.4% (+39.6)#35 33.1% (+44.9)#2,370
36. 87711 77.1% 38.4% (+38.7)#36 33.1% (+44.0)#2,435
37. 88252 76.6% 38.4% (+38.1)#37 33.1% (+43.4)#2,482
38. 87035 75.2% 38.4% (+36.7)#38 33.1% (+42.0)#2,576
39. 88267 73.5% 38.4% (+35.1)#39 33.1% (+40.4)#2,750
40. 87310 73.1% 38.4% (+34.6)#40 33.1% (+39.9)#2,795
41. 87007 72.8% 38.4% (+34.4)#41 33.1% (+39.7)#2,813
42. 88116 71.4% 38.4% (+33.0)#42 33.1% (+38.3)#2,970
43. 88072 69.8% 38.4% (+31.4)#43 33.1% (+36.7)#3,122
44. 87357 69.7% 38.4% (+31.3)#44 33.1% (+36.6)#3,129
45. 87328 67.7% 38.4% (+29.2)#45 33.1% (+34.5)#3,338
46. 88001 66.6% 38.4% (+28.1)#46 33.1% (+33.4)#3,556
47. 88330 66.2% 38.4% (+27.7)#47 33.1% (+33.0)#3,579
48. 88026 65.3% 38.4% (+26.9)#48 33.1% (+32.2)#3,673
49. 87413 63.8% 38.4% (+25.4)#49 33.1% (+30.7)#3,864
50. 87499 63.6% 38.4% (+25.2)#50 33.1% (+30.5)#3,903
51. 87320 63.2% 38.4% (+24.7)#51 33.1% (+30.0)#3,969
52. 87901 62.7% 38.4% (+24.3)#52 33.1% (+29.6)#4,021
53. 87461 62.5% 38.4% (+24.1)#53 33.1% (+29.4)#4,044
54. 87059 61.3% 38.4% (+22.8)#54 33.1% (+28.1)#4,248
55. 87547 60.6% 38.4% (+22.2)#55 33.1% (+27.5)#4,345
56. 87068 60.2% 38.4% (+21.7)#56 33.1% (+27.0)#4,404
57. 88024 60.0% 38.4% (+21.6)#57 33.1% (+26.9)#4,494
58. 87325 59.6% 38.4% (+21.2)#58 33.1% (+26.5)#4,554
59. 88061 59.2% 38.4% (+20.7)#59 33.1% (+26.0)#4,613
60. 87416 58.8% 38.4% (+20.3)#60 33.1% (+25.7)#4,682
61. 87323 58.6% 38.4% (+20.2)#61 33.1% (+25.5)#4,704
62. 87420 57.6% 38.4% (+19.1)#62 33.1% (+24.4)#4,904
63. 87571 57.0% 38.4% (+18.6)#63 33.1% (+23.9)#5,048
64. 88210 56.6% 38.4% (+18.1)#64 33.1% (+23.4)#5,126
65. 87311 56.5% 38.4% (+18.0)#65 33.1% (+23.3)#5,148
66. 87018 56.2% 38.4% (+17.8)#66 33.1% (+23.1)#5,196
67. 87015 56.1% 38.4% (+17.7)#67 33.1% (+23.0)#5,226
68. 87102 55.7% 38.4% (+17.2)#68 33.1% (+22.5)#5,310
69. 87566 54.8% 38.4% (+16.4)#69 33.1% (+21.7)#5,511
70. 87106 54.4% 38.4% (+16.0)#70 33.1% (+21.3)#5,613
71. 87321 54.3% 38.4% (+15.9)#71 33.1% (+21.2)#5,625
72. 87455 53.7% 38.4% (+15.3)#72 33.1% (+20.6)#5,743
73. 88008 53.6% 38.4% (+15.2)#73 33.1% (+20.5)#5,755
74. 88030 53.5% 38.4% (+15.1)#74 33.1% (+20.4)#5,774
75. 88230 52.8% 38.4% (+14.4)#75 33.1% (+19.7)#5,935
76. 88045 52.8% 38.4% (+14.3)#76 33.1% (+19.6)#5,950
77. 88021 52.7% 38.4% (+14.3)#77 33.1% (+19.6)#5,960
78. 88203 51.9% 38.4% (+13.5)#78 33.1% (+18.8)#6,131
79. 87364 51.4% 38.4% (+12.9)#79 33.1% (+18.3)#6,249
80. 88242 51.2% 38.4% (+12.7)#80 33.1% (+18.0)#6,295
81. 87935 50.0% 38.4% (+11.6)#81 33.1% (+16.9)#6,584
82. 87728 50.0% 38.4% (+11.6)#82 33.1% (+16.9)#6,710
83. 87013 49.6% 38.4% (+11.2)#83 33.1% (+16.5)#6,856
84. 88005 49.5% 38.4% (+11.1)#84 33.1% (+16.4)#6,869
85. 88011 48.6% 38.4% (+10.1)#85 33.1% (+15.4)#7,093
86. 88101 48.4% 38.4% (+9.96)#86 33.1% (+15.3)#7,142
87. 88063 48.1% 38.4% (+9.64)#87 33.1% (+14.9)#7,226
88. 87830 48.0% 38.4% (+9.56)#88 33.1% (+14.9)#7,254
89. 87317 47.7% 38.4% (+9.24)#89 33.1% (+14.5)#7,341
90. 87108 47.7% 38.4% (+9.23)#90 33.1% (+14.5)#7,343
91. 87016 47.4% 38.4% (+8.93)#91 33.1% (+14.2)#7,424
92. 87401 47.2% 38.4% (+8.73)#92 33.1% (+14.0)#7,489
93. 87732 46.4% 38.4% (+7.99)#93 33.1% (+13.3)#7,737
94. 87008 45.9% 38.4% (+7.51)#94 33.1% (+12.8)#7,889
95. 87301 45.3% 38.4% (+6.81)#95 33.1% (+12.1)#8,081
96. 87026 44.9% 38.4% (+6.41)#96 33.1% (+11.7)#8,207
97. 88043 44.2% 38.4% (+5.79)#97 33.1% (+11.1)#8,406
98. 87417 44.2% 38.4% (+5.73)#98 33.1% (+11.0)#8,420
99. 87327 43.9% 38.4% (+5.50)#99 33.1% (+10.8)#8,491
100. 88310 43.6% 38.4% (+5.18)#100 33.1% (+10.5)#8,579

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in New Mexico?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in New Mexico 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 Poverty Level Among Single Mothers in New Mexico?
87116 has the Highest Poverty Level Among Single Mothers in New Mexico with 100.0%.
What is the Poverty Level Among Single Mothers in the State of New Mexico?
Poverty Level Among Single Mothers in New Mexico is 38.4%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.