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

RELATED REPORTS & OPTIONS

Highest 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 Most Births per 1,000 Women Below Poverty Level in New Mexico

0.0
800.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Mexico Map

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

Zip Code Births / 1,000 Women vs State vs National
1.88419625.055.0(+570)#153.0(+572)#120
2.87527429.055.0(+374)#253.0(+376)#229
3.88119409.055.0(+354)#353.0(+356)#252
4.88008210.055.0(+155)#453.0(+157)#882
5.88020207.055.0(+152)#553.0(+154)#909
6.87718205.055.0(+150)#653.0(+152)#925
7.87733200.055.0(+145)#753.0(+147)#988
8.87027197.055.0(+142)#853.0(+144)#1,023
9.88044175.055.0(+120)#953.0(+122)#1,280
10.87941170.055.0(+115)#1053.0(+117)#1,371
11.87747168.055.0(+113)#1153.0(+115)#1,403
12.87322160.055.0(+105)#1253.0(+107)#1,561
13.87530156.055.0(+101)#1353.0(+103)#1,634
14.88253140.055.0(+85.0)#1453.0(+87.0)#1,995
15.88330127.055.0(+72.0)#1553.0(+74.0)#2,437
16.87560123.055.0(+68.0)#1653.0(+70.0)#2,616
17.87116119.055.0(+64.0)#1753.0(+66.0)#2,773
18.87825116.055.0(+61.0)#1853.0(+63.0)#2,928
19.88002115.055.0(+60.0)#1953.0(+62.0)#2,993
20.88021108.055.0(+53.0)#2053.0(+55.0)#3,364
21.87413108.055.0(+53.0)#2153.0(+55.0)#3,367
22.88045105.055.0(+50.0)#2253.0(+52.0)#3,599
23.87711104.055.0(+49.0)#2353.0(+51.0)#3,691
24.87024103.055.0(+48.0)#2453.0(+50.0)#3,743
25.88027101.055.0(+46.0)#2553.0(+48.0)#3,909
26.87031100.055.0(+45.0)#2653.0(+47.0)#3,917
27.8826798.055.0(+43.0)#2753.0(+45.0)#4,149
28.8703796.055.0(+41.0)#2853.0(+43.0)#4,351
29.8702093.055.0(+38.0)#2953.0(+40.0)#4,583
30.8732392.055.0(+37.0)#3053.0(+39.0)#4,690
31.8820191.055.0(+36.0)#3153.0(+38.0)#4,754
32.8705990.055.0(+35.0)#3253.0(+37.0)#4,890
33.8700287.055.0(+32.0)#3353.0(+34.0)#5,200
34.8731987.055.0(+32.0)#3453.0(+34.0)#5,257
35.8752286.055.0(+31.0)#3553.0(+33.0)#5,370
36.8824084.055.0(+29.0)#3653.0(+31.0)#5,561
37.8834684.055.0(+29.0)#3753.0(+31.0)#5,649
38.8711181.055.0(+26.0)#3853.0(+28.0)#5,971
39.8740179.055.0(+24.0)#3953.0(+26.0)#6,287
40.8810176.055.0(+21.0)#4053.0(+23.0)#6,786
41.8804176.055.0(+21.0)#4153.0(+23.0)#6,937
42.8754475.055.0(+20.0)#4253.0(+22.0)#7,010
43.8735775.055.0(+20.0)#4353.0(+22.0)#7,106
44.8826073.055.0(+18.0)#4453.0(+20.0)#7,405
45.8780171.055.0(+16.0)#4553.0(+18.0)#7,862
46.8754770.055.0(+15.0)#4653.0(+17.0)#8,079
47.8700170.055.0(+15.0)#4753.0(+17.0)#8,095
48.8732870.055.0(+15.0)#4853.0(+17.0)#8,104
49.8705370.055.0(+15.0)#4953.0(+17.0)#8,136
50.8822069.055.0(+14.0)#5053.0(+16.0)#8,199
51.8824269.055.0(+14.0)#5153.0(+16.0)#8,297
52.8704368.055.0(+13.0)#5253.0(+15.0)#8,535
53.8800167.055.0(+12.0)#5353.0(+14.0)#8,627
54.8831067.055.0(+12.0)#5453.0(+14.0)#8,629
55.8750667.055.0(+12.0)#5553.0(+14.0)#8,693
56.8841567.055.0(+12.0)#5653.0(+14.0)#8,769
57.8813066.055.0(+11.0)#5753.0(+13.0)#8,958
58.8703466.055.0(+11.0)#5853.0(+13.0)#9,060
59.8842666.055.0(+11.0)#5953.0(+13.0)#9,100
60.8712365.055.0(+10.00)#6053.0(+12.0)#9,149
61.8820365.055.0(+10.00)#6153.0(+12.0)#9,184
62.8750165.055.0(+10.00)#6253.0(+12.0)#9,233
63.8834565.055.0(+10.00)#6353.0(+12.0)#9,268
64.8706864.055.0(+9.00)#6453.0(+11.0)#9,527
65.8701664.055.0(+9.00)#6553.0(+11.0)#9,566
66.8712163.055.0(+8.00)#6653.0(+10.00)#9,636
67.8730163.055.0(+8.00)#6753.0(+10.00)#9,739
68.8741863.055.0(+8.00)#6853.0(+10.00)#9,925
69.8821062.055.0(+7.00)#6953.0(+9.00)#10,066
70.8840162.055.0(+7.00)#7053.0(+9.00)#10,123
71.8806160.055.0(+5.00)#7153.0(+7.00)#10,621
72.8731160.055.0(+5.00)#7253.0(+7.00)#10,704
73.8714459.055.0(+4.00)#7353.0(+6.00)#10,820
74.8793759.055.0(+4.00)#7453.0(+6.00)#11,003
75.8710958.055.0(+3.00)#7553.0(+5.00)#11,133
76.8710857.055.0(+2.00)#7653.0(+4.00)#11,450
77.8710757.055.0(+2.00)#7753.0(+4.00)#11,483
78.8703557.055.0(+2.00)#7853.0(+4.00)#11,591
79.8731256.055.0(+1.000)#7953.0(+3.00)#12,001
80.8711255.055.0(=0.000)#8053.0(+2.00)#12,059
81.8740254.055.0(-1.000)#8153.0(+1.000)#12,511
82.8710553.055.0(-2.00)#8253.0(=0.000)#12,656
83.8711353.055.0(-2.00)#8353.0(=0.000)#12,786
84.8710453.055.0(-2.00)#8453.0(=0.000)#12,805
85.8741752.055.0(-3.00)#8553.0(-1.000)#13,192
86.8750751.055.0(-4.00)#8653.0(-2.00)#13,312
87.8712048.055.0(-7.00)#8753.0(-5.00)#14,351
88.8801148.055.0(-7.00)#8853.0(-5.00)#14,421
89.8825648.055.0(-7.00)#8953.0(-5.00)#14,619
90.8801247.055.0(-8.00)#9053.0(-6.00)#14,762
91.8732746.055.0(-9.00)#9153.0(-7.00)#15,263
92.8790146.055.0(-9.00)#9253.0(-7.00)#15,277
93.8704746.055.0(-9.00)#9353.0(-7.00)#15,292
94.8774045.055.0(-10.00)#9453.0(-8.00)#15,594
95.8711044.055.0(-11.0)#9553.0(-9.00)#15,784
96.8843544.055.0(-11.0)#9653.0(-9.00)#16,035
97.8808143.055.0(-12.0)#9753.0(-10.00)#16,283
98.8731643.055.0(-12.0)#9853.0(-10.00)#16,432
99.8803042.055.0(-13.0)#9953.0(-11.0)#16,606
100.8741042.055.0(-13.0)#10053.0(-11.0)#16,652

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Mexico?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New Mexico are:
#1
625.0
#2
429.0
#3
409.0
#4
210.0
#5
207.0
#6
205.0
#7
200.0
#8
197.0
#9
175.0
#10
170.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in New Mexico?
88419 has the Most Births per 1,000 Women Below Poverty Level in New Mexico with 625.0.
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.