Zip Codes with the Most Births per 1,000 Women in Labor Force in New Mexico

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Highest Birth Rate | In Labor Force
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 Most Births per 1,000 Women in Labor Force in New Mexico

0.0
500.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in New Mexico Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in New Mexico

Zip Code Births / 1,000 Women vs State vs National
1. 88041 500.0 48.0 (+452)#1 48.0 (+452)#160
2. 88119 429.0 48.0 (+381)#2 48.0 (+381)#235
3. 87941 245.0 48.0 (+197)#3 48.0 (+197)#684
4. 88044 242.0 48.0 (+194)#4 48.0 (+194)#699
5. 87560 239.0 48.0 (+191)#5 48.0 (+191)#717
6. 87322 232.0 48.0 (+184)#6 48.0 (+184)#753
7. 88008 204.0 48.0 (+156)#7 48.0 (+156)#957
8. 87037 186.0 48.0 (+138)#8 48.0 (+138)#1,135
9. 88253 174.0 48.0 (+126)#9 48.0 (+126)#1,273
10. 88021 173.0 48.0 (+125)#10 48.0 (+125)#1,280
11. 88426 172.0 48.0 (+124)#11 48.0 (+124)#1,303
12. 87323 165.0 48.0 (+117)#12 48.0 (+117)#1,415
13. 87312 163.0 48.0 (+115)#13 48.0 (+115)#1,454
14. 88346 160.0 48.0 (+112)#14 48.0 (+112)#1,490
15. 87711 158.0 48.0 (+110)#15 48.0 (+110)#1,538
16. 87530 156.0 48.0 (+108)#16 48.0 (+108)#1,578
17. 87319 149.0 48.0 (+101)#17 48.0 (+101)#1,699
18. 87016 142.0 48.0 (+94.0)#18 48.0 (+94.0)#1,866
19. 87522 139.0 48.0 (+91.0)#19 48.0 (+91.0)#1,933
20. 87024 128.0 48.0 (+80.0)#20 48.0 (+80.0)#2,249
21. 88002 120.0 48.0 (+72.0)#21 48.0 (+72.0)#2,525
22. 88072 111.0 48.0 (+63.0)#22 48.0 (+63.0)#2,892
23. 87053 108.0 48.0 (+60.0)#23 48.0 (+60.0)#3,076
24. 87801 105.0 48.0 (+57.0)#24 48.0 (+57.0)#3,193
25. 88201 102.0 48.0 (+54.0)#25 48.0 (+54.0)#3,368
26. 87001 96.0 48.0 (+48.0)#26 48.0 (+48.0)#3,791
27. 88267 94.0 48.0 (+46.0)#27 48.0 (+46.0)#3,939
28. 87034 92.0 48.0 (+44.0)#28 48.0 (+44.0)#4,071
29. 87031 89.0 48.0 (+41.0)#29 48.0 (+41.0)#4,288
30. 87413 85.0 48.0 (+37.0)#30 48.0 (+37.0)#4,716
31. 87111 83.0 48.0 (+35.0)#31 48.0 (+35.0)#4,884
32. 87002 80.0 48.0 (+32.0)#32 48.0 (+32.0)#5,260
33. 88260 80.0 48.0 (+32.0)#33 48.0 (+32.0)#5,270
34. 87937 77.0 48.0 (+29.0)#34 48.0 (+29.0)#5,686
35. 87401 76.0 48.0 (+28.0)#35 48.0 (+28.0)#5,745
36. 88415 76.0 48.0 (+28.0)#36 48.0 (+28.0)#5,833
37. 87506 74.0 48.0 (+26.0)#37 48.0 (+26.0)#6,047
38. 88330 73.0 48.0 (+25.0)#38 48.0 (+25.0)#6,260
39. 87501 71.0 48.0 (+23.0)#39 48.0 (+23.0)#6,540
40. 87461 70.0 48.0 (+22.0)#40 48.0 (+22.0)#6,791
41. 87043 69.0 48.0 (+21.0)#41 48.0 (+21.0)#6,943
42. 87123 68.0 48.0 (+20.0)#42 48.0 (+20.0)#7,033
43. 87547 67.0 48.0 (+19.0)#43 48.0 (+19.0)#7,337
44. 87316 67.0 48.0 (+19.0)#44 48.0 (+19.0)#7,374
45. 87311 66.0 48.0 (+18.0)#45 48.0 (+18.0)#7,525
46. 88011 65.0 48.0 (+17.0)#46 48.0 (+17.0)#7,632
47. 87325 65.0 48.0 (+17.0)#47 48.0 (+17.0)#7,776
48. 88101 64.0 48.0 (+16.0)#48 48.0 (+16.0)#7,832
49. 87072 64.0 48.0 (+16.0)#49 48.0 (+16.0)#7,993
50. 87310 63.0 48.0 (+15.0)#50 48.0 (+15.0)#8,214
51. 88124 63.0 48.0 (+15.0)#51 48.0 (+15.0)#8,226
52. 87112 62.0 48.0 (+14.0)#52 48.0 (+14.0)#8,283
53. 88061 61.0 48.0 (+13.0)#53 48.0 (+13.0)#8,566
54. 88310 58.0 48.0 (+10.00)#54 48.0 (+10.00)#9,177
55. 87544 58.0 48.0 (+10.00)#55 48.0 (+10.00)#9,257
56. 87121 56.0 48.0 (+8.00)#56 48.0 (+8.00)#9,614
57. 88220 56.0 48.0 (+8.00)#57 48.0 (+8.00)#9,641
58. 88240 55.0 48.0 (+7.00)#58 48.0 (+7.00)#9,927
59. 88001 54.0 48.0 (+6.00)#59 48.0 (+6.00)#10,212
60. 88256 53.0 48.0 (+5.00)#60 48.0 (+5.00)#10,684
61. 87521 53.0 48.0 (+5.00)#61 48.0 (+5.00)#10,714
62. 88418 53.0 48.0 (+5.00)#62 48.0 (+5.00)#10,721
63. 87701 52.0 48.0 (+4.00)#63 48.0 (+4.00)#10,851
64. 87068 52.0 48.0 (+4.00)#64 48.0 (+4.00)#10,928
65. 88045 51.0 48.0 (+3.00)#65 48.0 (+3.00)#11,245
66. 88130 50.0 48.0 (+2.00)#66 48.0 (+2.00)#11,430
67. 88316 50.0 48.0 (+2.00)#67 48.0 (+2.00)#11,550
68. 88012 49.0 48.0 (+1.000)#68 48.0 (+1.000)#11,693
69. 87104 47.0 48.0 (-1.000)#69 48.0 (-1.000)#12,362
70. 87105 46.0 48.0 (-2.00)#70 48.0 (-2.00)#12,518
71. 87059 46.0 48.0 (-2.00)#71 48.0 (-2.00)#12,679
72. 87740 46.0 48.0 (-2.00)#72 48.0 (-2.00)#12,698
73. 87015 45.0 48.0 (-3.00)#73 48.0 (-3.00)#12,956
74. 88242 45.0 48.0 (-3.00)#74 48.0 (-3.00)#13,001
75. 87116 45.0 48.0 (-3.00)#75 48.0 (-3.00)#13,039
76. 88005 44.0 48.0 (-4.00)#76 48.0 (-4.00)#13,238
77. 87020 44.0 48.0 (-4.00)#77 48.0 (-4.00)#13,316
78. 87747 44.0 48.0 (-4.00)#78 48.0 (-4.00)#13,404
79. 88210 43.0 48.0 (-5.00)#79 48.0 (-5.00)#13,587
80. 87357 43.0 48.0 (-5.00)#80 48.0 (-5.00)#13,736
81. 87418 43.0 48.0 (-5.00)#81 48.0 (-5.00)#13,742
82. 87326 42.0 48.0 (-6.00)#82 48.0 (-6.00)#14,057
83. 87107 40.0 48.0 (-8.00)#83 48.0 (-8.00)#14,542
84. 87507 38.0 48.0 (-10.00)#84 48.0 (-10.00)#15,131
85. 87114 37.0 48.0 (-11.0)#85 48.0 (-11.0)#15,463
86. 87109 37.0 48.0 (-11.0)#86 48.0 (-11.0)#15,500
87. 88081 37.0 48.0 (-11.0)#87 48.0 (-11.0)#15,605
88. 87144 36.0 48.0 (-12.0)#88 48.0 (-12.0)#15,814
89. 87505 36.0 48.0 (-12.0)#89 48.0 (-12.0)#15,854
90. 87106 36.0 48.0 (-12.0)#90 48.0 (-12.0)#15,878
91. 87035 36.0 48.0 (-12.0)#91 48.0 (-12.0)#15,978
92. 87110 35.0 48.0 (-13.0)#92 48.0 (-13.0)#16,129
93. 87537 35.0 48.0 (-13.0)#93 48.0 (-13.0)#16,334
94. 87120 34.0 48.0 (-14.0)#94 48.0 (-14.0)#16,388
95. 87108 34.0 48.0 (-14.0)#95 48.0 (-14.0)#16,439
96. 87113 34.0 48.0 (-14.0)#96 48.0 (-14.0)#16,519
97. 87047 34.0 48.0 (-14.0)#97 48.0 (-14.0)#16,594
98. 87305 34.0 48.0 (-14.0)#98 48.0 (-14.0)#16,631
99. 87301 33.0 48.0 (-15.0)#99 48.0 (-15.0)#16,806
100. 87532 32.0 48.0 (-16.0)#100 48.0 (-16.0)#17,136

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New Mexico?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in New Mexico are:
#1
500.0
#2
429.0
#3
245.0
#4
242.0
#5
239.0
#6
232.0
#7
204.0
#8
186.0
#9
174.0
#10
173.0
What zip code has the Most Births per 1,000 Women in Labor Force in New Mexico?
88041 has the Most Births per 1,000 Women in Labor Force in New Mexico with 500.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of New Mexico?
Number of Births per 1,000 Women in Labor Force in New Mexico is 48.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.