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
1.875114.055.0(-51.0)#153.0(-49.0)#117
2.8756610.055.0(-45.0)#253.0(-43.0)#634
3.8800711.055.0(-44.0)#353.0(-42.0)#709
4.8757111.055.0(-44.0)#453.0(-42.0)#719
5.8757911.055.0(-44.0)#553.0(-42.0)#779
6.8702512.055.0(-43.0)#653.0(-41.0)#939
7.8834014.055.0(-41.0)#753.0(-39.0)#1,193
8.8702616.055.0(-39.0)#853.0(-37.0)#1,554
9.8755316.055.0(-39.0)#953.0(-37.0)#1,598
10.8705217.055.0(-38.0)#1053.0(-36.0)#1,750
11.8802618.055.0(-37.0)#1153.0(-35.0)#1,954
12.8823119.055.0(-36.0)#1253.0(-34.0)#2,107
13.8835220.055.0(-35.0)#1353.0(-33.0)#2,298
14.8823220.055.0(-35.0)#1453.0(-33.0)#2,327
15.8750821.055.0(-34.0)#1553.0(-32.0)#2,463
16.8771421.055.0(-34.0)#1653.0(-32.0)#2,623
17.8742022.055.0(-33.0)#1753.0(-31.0)#2,719
18.8704822.055.0(-33.0)#1853.0(-31.0)#2,733
19.8753722.055.0(-33.0)#1953.0(-31.0)#2,795
20.8704122.055.0(-33.0)#2053.0(-31.0)#2,863
21.8712223.055.0(-32.0)#2153.0(-30.0)#2,951
22.8825223.055.0(-32.0)#2253.0(-30.0)#3,075
23.8704523.055.0(-32.0)#2353.0(-30.0)#3,076
24.8752824.055.0(-31.0)#2453.0(-29.0)#3,303
25.8731325.055.0(-30.0)#2553.0(-28.0)#3,553
26.8812427.055.0(-28.0)#2653.0(-26.0)#4,155
27.8806328.055.0(-27.0)#2753.0(-25.0)#4,292
28.8737528.055.0(-27.0)#2853.0(-25.0)#4,337
29.8730528.055.0(-27.0)#2953.0(-25.0)#4,378
30.8741629.055.0(-26.0)#3053.0(-24.0)#4,606
31.8753230.055.0(-25.0)#3153.0(-23.0)#4,794
32.8746130.055.0(-25.0)#3253.0(-23.0)#4,965
33.8752130.055.0(-25.0)#3353.0(-23.0)#4,983
34.8701531.055.0(-24.0)#3453.0(-22.0)#5,128
35.8710632.055.0(-23.0)#3553.0(-21.0)#5,375
36.8732532.055.0(-23.0)#3653.0(-21.0)#5,521
37.8841832.055.0(-23.0)#3753.0(-21.0)#5,581
38.8712433.055.0(-22.0)#3853.0(-20.0)#5,603
39.8710233.055.0(-22.0)#3953.0(-20.0)#5,698
40.8700433.055.0(-22.0)#4053.0(-20.0)#5,748
41.8736433.055.0(-22.0)#4153.0(-20.0)#5,868
42.8731034.055.0(-21.0)#4253.0(-19.0)#6,195
43.8750535.055.0(-20.0)#4353.0(-18.0)#6,300
44.8807235.055.0(-20.0)#4453.0(-18.0)#6,462
45.8701336.055.0(-19.0)#4553.0(-17.0)#6,769
46.8831636.055.0(-19.0)#4653.0(-17.0)#6,834
47.8771036.055.0(-19.0)#4753.0(-17.0)#6,862
48.8800538.055.0(-17.0)#4853.0(-15.0)#7,294
49.8732639.055.0(-16.0)#4953.0(-14.0)#7,848
50.8804339.055.0(-16.0)#5053.0(-14.0)#7,873
51.8770140.055.0(-15.0)#5153.0(-13.0)#8,068
52.8823040.055.0(-15.0)#5253.0(-13.0)#8,152
53.8707240.055.0(-15.0)#5353.0(-13.0)#8,255
54.8711441.055.0(-14.0)#5453.0(-12.0)#8,273
55.8803042.055.0(-13.0)#5553.0(-11.0)#8,721
56.8741042.055.0(-13.0)#5653.0(-11.0)#8,767
57.8808143.055.0(-12.0)#5753.0(-10.00)#9,106
58.8731643.055.0(-12.0)#5853.0(-10.00)#9,255
59.8711044.055.0(-11.0)#5953.0(-9.00)#9,361
60.8843544.055.0(-11.0)#6053.0(-9.00)#9,612
61.8774045.055.0(-10.00)#6153.0(-8.00)#9,918
62.8732746.055.0(-9.00)#6253.0(-7.00)#10,291
63.8790146.055.0(-9.00)#6353.0(-7.00)#10,305
64.8704746.055.0(-9.00)#6453.0(-7.00)#10,320
65.8801247.055.0(-8.00)#6553.0(-6.00)#10,494
66.8712048.055.0(-7.00)#6653.0(-5.00)#10,764
67.8801148.055.0(-7.00)#6753.0(-5.00)#10,834
68.8825648.055.0(-7.00)#6853.0(-5.00)#11,032
69.8750751.055.0(-4.00)#6953.0(-2.00)#11,836
70.8741752.055.0(-3.00)#7053.0(-1.000)#12,382
71.8710553.055.0(-2.00)#7153.0(=0.000)#12,490
72.8711353.055.0(-2.00)#7253.0(=0.000)#12,620
73.8710453.055.0(-2.00)#7353.0(=0.000)#12,639
74.8740254.055.0(-1.000)#7453.0(+1.000)#12,984
75.8711255.055.0(=0.000)#7553.0(+2.00)#13,146
76.8731256.055.0(+1.000)#7653.0(+3.00)#13,714
77.8710857.055.0(+2.00)#7753.0(+4.00)#13,793
78.8710757.055.0(+2.00)#7853.0(+4.00)#13,826
79.8703557.055.0(+2.00)#7953.0(+4.00)#13,934
80.8710958.055.0(+3.00)#8053.0(+5.00)#14,091
81.8714459.055.0(+4.00)#8153.0(+6.00)#14,379
82.8793759.055.0(+4.00)#8253.0(+6.00)#14,562
83.8806160.055.0(+5.00)#8353.0(+7.00)#14,775
84.8731160.055.0(+5.00)#8453.0(+7.00)#14,858
85.8821062.055.0(+7.00)#8553.0(+9.00)#15,355
86.8840162.055.0(+7.00)#8653.0(+9.00)#15,412
87.8712163.055.0(+8.00)#8753.0(+10.00)#15,486
88.8730163.055.0(+8.00)#8853.0(+10.00)#15,589
89.8741863.055.0(+8.00)#8953.0(+10.00)#15,775
90.8706864.055.0(+9.00)#9053.0(+11.0)#15,949
91.8701664.055.0(+9.00)#9153.0(+11.0)#15,988
92.8712365.055.0(+10.00)#9253.0(+12.0)#16,085
93.8820365.055.0(+10.00)#9353.0(+12.0)#16,120
94.8750165.055.0(+10.00)#9453.0(+12.0)#16,169
95.8834565.055.0(+10.00)#9553.0(+12.0)#16,204
96.8813066.055.0(+11.0)#9653.0(+13.0)#16,435
97.8703466.055.0(+11.0)#9753.0(+13.0)#16,537
98.8842666.055.0(+11.0)#9853.0(+13.0)#16,577
99.8800167.055.0(+12.0)#9953.0(+14.0)#16,617
100.8831067.055.0(+12.0)#10053.0(+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.