Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Mexico

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Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in New Mexico

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Mexico Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Mexico

Zip Code Births / 1,000 Women vs State vs National
1. 87511 4.0 55.0 (-51.0)#1 53.0 (-49.0)#117
2. 87566 10.0 55.0 (-45.0)#2 53.0 (-43.0)#634
3. 88007 11.0 55.0 (-44.0)#3 53.0 (-42.0)#709
4. 87571 11.0 55.0 (-44.0)#4 53.0 (-42.0)#719
5. 87579 11.0 55.0 (-44.0)#5 53.0 (-42.0)#779
6. 87025 12.0 55.0 (-43.0)#6 53.0 (-41.0)#939
7. 88340 14.0 55.0 (-41.0)#7 53.0 (-39.0)#1,193
8. 87026 16.0 55.0 (-39.0)#8 53.0 (-37.0)#1,554
9. 87553 16.0 55.0 (-39.0)#9 53.0 (-37.0)#1,598
10. 87052 17.0 55.0 (-38.0)#10 53.0 (-36.0)#1,750
11. 88026 18.0 55.0 (-37.0)#11 53.0 (-35.0)#1,954
12. 88231 19.0 55.0 (-36.0)#12 53.0 (-34.0)#2,107
13. 88352 20.0 55.0 (-35.0)#13 53.0 (-33.0)#2,298
14. 88232 20.0 55.0 (-35.0)#14 53.0 (-33.0)#2,327
15. 87508 21.0 55.0 (-34.0)#15 53.0 (-32.0)#2,463
16. 87714 21.0 55.0 (-34.0)#16 53.0 (-32.0)#2,623
17. 87420 22.0 55.0 (-33.0)#17 53.0 (-31.0)#2,719
18. 87048 22.0 55.0 (-33.0)#18 53.0 (-31.0)#2,733
19. 87537 22.0 55.0 (-33.0)#19 53.0 (-31.0)#2,795
20. 87041 22.0 55.0 (-33.0)#20 53.0 (-31.0)#2,863
21. 87122 23.0 55.0 (-32.0)#21 53.0 (-30.0)#2,951
22. 88252 23.0 55.0 (-32.0)#22 53.0 (-30.0)#3,075
23. 87045 23.0 55.0 (-32.0)#23 53.0 (-30.0)#3,076
24. 87528 24.0 55.0 (-31.0)#24 53.0 (-29.0)#3,303
25. 87313 25.0 55.0 (-30.0)#25 53.0 (-28.0)#3,553
26. 88124 27.0 55.0 (-28.0)#26 53.0 (-26.0)#4,155
27. 88063 28.0 55.0 (-27.0)#27 53.0 (-25.0)#4,292
28. 87375 28.0 55.0 (-27.0)#28 53.0 (-25.0)#4,337
29. 87305 28.0 55.0 (-27.0)#29 53.0 (-25.0)#4,378
30. 87416 29.0 55.0 (-26.0)#30 53.0 (-24.0)#4,606
31. 87532 30.0 55.0 (-25.0)#31 53.0 (-23.0)#4,794
32. 87461 30.0 55.0 (-25.0)#32 53.0 (-23.0)#4,965
33. 87521 30.0 55.0 (-25.0)#33 53.0 (-23.0)#4,983
34. 87015 31.0 55.0 (-24.0)#34 53.0 (-22.0)#5,128
35. 87106 32.0 55.0 (-23.0)#35 53.0 (-21.0)#5,375
36. 87325 32.0 55.0 (-23.0)#36 53.0 (-21.0)#5,521
37. 88418 32.0 55.0 (-23.0)#37 53.0 (-21.0)#5,581
38. 87124 33.0 55.0 (-22.0)#38 53.0 (-20.0)#5,603
39. 87102 33.0 55.0 (-22.0)#39 53.0 (-20.0)#5,698
40. 87004 33.0 55.0 (-22.0)#40 53.0 (-20.0)#5,748
41. 87364 33.0 55.0 (-22.0)#41 53.0 (-20.0)#5,868
42. 87310 34.0 55.0 (-21.0)#42 53.0 (-19.0)#6,195
43. 87505 35.0 55.0 (-20.0)#43 53.0 (-18.0)#6,300
44. 88072 35.0 55.0 (-20.0)#44 53.0 (-18.0)#6,462
45. 87013 36.0 55.0 (-19.0)#45 53.0 (-17.0)#6,769
46. 88316 36.0 55.0 (-19.0)#46 53.0 (-17.0)#6,834
47. 87710 36.0 55.0 (-19.0)#47 53.0 (-17.0)#6,862
48. 88005 38.0 55.0 (-17.0)#48 53.0 (-15.0)#7,294
49. 87326 39.0 55.0 (-16.0)#49 53.0 (-14.0)#7,848
50. 88043 39.0 55.0 (-16.0)#50 53.0 (-14.0)#7,873
51. 87701 40.0 55.0 (-15.0)#51 53.0 (-13.0)#8,068
52. 88230 40.0 55.0 (-15.0)#52 53.0 (-13.0)#8,152
53. 87072 40.0 55.0 (-15.0)#53 53.0 (-13.0)#8,255
54. 87114 41.0 55.0 (-14.0)#54 53.0 (-12.0)#8,273
55. 88030 42.0 55.0 (-13.0)#55 53.0 (-11.0)#8,721
56. 87410 42.0 55.0 (-13.0)#56 53.0 (-11.0)#8,767
57. 88081 43.0 55.0 (-12.0)#57 53.0 (-10.00)#9,106
58. 87316 43.0 55.0 (-12.0)#58 53.0 (-10.00)#9,255
59. 87110 44.0 55.0 (-11.0)#59 53.0 (-9.00)#9,361
60. 88435 44.0 55.0 (-11.0)#60 53.0 (-9.00)#9,612
61. 87740 45.0 55.0 (-10.00)#61 53.0 (-8.00)#9,918
62. 87327 46.0 55.0 (-9.00)#62 53.0 (-7.00)#10,291
63. 87901 46.0 55.0 (-9.00)#63 53.0 (-7.00)#10,305
64. 87047 46.0 55.0 (-9.00)#64 53.0 (-7.00)#10,320
65. 88012 47.0 55.0 (-8.00)#65 53.0 (-6.00)#10,494
66. 87120 48.0 55.0 (-7.00)#66 53.0 (-5.00)#10,764
67. 88011 48.0 55.0 (-7.00)#67 53.0 (-5.00)#10,834
68. 88256 48.0 55.0 (-7.00)#68 53.0 (-5.00)#11,032
69. 87507 51.0 55.0 (-4.00)#69 53.0 (-2.00)#11,836
70. 87417 52.0 55.0 (-3.00)#70 53.0 (-1.000)#12,382
71. 87105 53.0 55.0 (-2.00)#71 53.0 (=0.000)#12,490
72. 87113 53.0 55.0 (-2.00)#72 53.0 (=0.000)#12,620
73. 87104 53.0 55.0 (-2.00)#73 53.0 (=0.000)#12,639
74. 87402 54.0 55.0 (-1.000)#74 53.0 (+1.000)#12,984
75. 87112 55.0 55.0 (=0.000)#75 53.0 (+2.00)#13,146
76. 87312 56.0 55.0 (+1.000)#76 53.0 (+3.00)#13,714
77. 87108 57.0 55.0 (+2.00)#77 53.0 (+4.00)#13,793
78. 87107 57.0 55.0 (+2.00)#78 53.0 (+4.00)#13,826
79. 87035 57.0 55.0 (+2.00)#79 53.0 (+4.00)#13,934
80. 87109 58.0 55.0 (+3.00)#80 53.0 (+5.00)#14,091
81. 87144 59.0 55.0 (+4.00)#81 53.0 (+6.00)#14,379
82. 87937 59.0 55.0 (+4.00)#82 53.0 (+6.00)#14,562
83. 88061 60.0 55.0 (+5.00)#83 53.0 (+7.00)#14,775
84. 87311 60.0 55.0 (+5.00)#84 53.0 (+7.00)#14,858
85. 88210 62.0 55.0 (+7.00)#85 53.0 (+9.00)#15,355
86. 88401 62.0 55.0 (+7.00)#86 53.0 (+9.00)#15,412
87. 87121 63.0 55.0 (+8.00)#87 53.0 (+10.00)#15,486
88. 87301 63.0 55.0 (+8.00)#88 53.0 (+10.00)#15,589
89. 87418 63.0 55.0 (+8.00)#89 53.0 (+10.00)#15,775
90. 87068 64.0 55.0 (+9.00)#90 53.0 (+11.0)#15,949
91. 87016 64.0 55.0 (+9.00)#91 53.0 (+11.0)#15,988
92. 87123 65.0 55.0 (+10.00)#92 53.0 (+12.0)#16,085
93. 88203 65.0 55.0 (+10.00)#93 53.0 (+12.0)#16,120
94. 87501 65.0 55.0 (+10.00)#94 53.0 (+12.0)#16,169
95. 88345 65.0 55.0 (+10.00)#95 53.0 (+12.0)#16,204
96. 88130 66.0 55.0 (+11.0)#96 53.0 (+13.0)#16,435
97. 87034 66.0 55.0 (+11.0)#97 53.0 (+13.0)#16,537
98. 88426 66.0 55.0 (+11.0)#98 53.0 (+13.0)#16,577
99. 88001 67.0 55.0 (+12.0)#99 53.0 (+14.0)#16,617
100. 88310 67.0 55.0 (+12.0)#100 53.0 (+14.0)#16,619

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Mexico?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New Mexico are:
#1
4.0
#2
10.0
#3
11.0
#4
11.0
#5
11.0
#6
12.0
#7
14.0
#8
16.0
#9
16.0
#10
17.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in New Mexico?
87511 has the Fewest Births per 1,000 Women Below Poverty Level in New Mexico with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of New Mexico?
Number of Births per 1,000 Women Below Poverty Level in New Mexico is 55.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.