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Demographic Comparison
Population
Highest PopulationHighest Population DensityLowest Population DensityMale / Female RatioFemale / Male RatioOldest PopulationOldest Population | MaleOldest Population | FemaleYoungest PopulationYoungest Population | MaleYoungest Population | Female
Families and Households
Largest Family SizeLargest Household SizeSmallest Family SizeSmallest Household Size
Female Fertility
Highest Birth Rate | All WomenHighest Birth Rate | Women 15-19Highest Birth Rate | Women 35+Highest Birth Rate | Below PovertyHighest Birth Rate | Public IncomeHighest Birth Rate | In Labor ForceLowest Birth Rate | All WomenLowest Birth Rate | Women 15-19Lowest Birth Rate | Women 35+Lowest Birth Rate | Below PovertyLowest Birth Rate | Public IncomeLowest Birth Rate | In Labor Force
Female Fertility (Unmarried)
Highest Illegitimacy | All WomenHighest Illegitimacy | Women 15-19Highest Illegitimacy | Women 35+Lowest Illegitimacy | All WomenLowest Illegitimacy | Women 15-19Lowest Illegitimacy | Women 35+
Race (Community Size)
AsianBlack / African AmericanHawaiian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHawaiian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
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
Economic Comparison
Income
Highest Per Capita IncomeHighest Earnings | MaleHighest Earnings | FemaleHighest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini IndexLowest Per Capita IncomeLowest Earnings | MaleLowest Earnings | FemaleLowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index
Income (Families)
Highest Family IncomeLowest Family IncomeFamily Income | $0-10kFamily Income | $100k+Family Income | $200k+
Income (Households)
Highest Household IncomeLowest Household IncomeHousehold Income | $0-10kHousehold Income | $200k+Household Income | $100k+
Poverty
Highest PovertyHighest Poverty | MaleHighest Poverty | FemaleHighest Poverty | Female 18-24Highest Poverty | Female 25-34Highest Poverty | Child 0-5Highest Poverty | Child 0-16Highest Poverty | Boys 0-16Highest Poverty | Girls 0-16Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest PovertyLowest Poverty | MaleLowest Poverty | FemaleLowest Poverty | Child 0-5Lowest Poverty | Child 0-16Lowest Poverty | Boys 0-16Lowest Poverty | Girls 0-16Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+
Poverty (Families)
Highest Family PovertyHighest Poverty | Married CoupleHighest Poverty | Single MaleHighest Poverty | Single FemaleHighest Poverty | Single FatherHighest Poverty | Single MotherLowest Family PovertyLowest Poverty | Married CoupleLowest Poverty | Single MaleLowest Poverty | Single FemaleLowest Poverty | Single FatherLowest Poverty | Single Mother
Unemployment
Highest UnemploymentHighest Unemployment | MaleHighest Unemployment | FemaleHighest Unemployment | Youth < 25Highest Unemployment | Senior > 65Lowest UnemploymentLowest Unemployment | MaleLowest Unemployment | FemaleLowest Unemployment | Youth < 25Lowest Unemployment | Senior > 65
Employment Occupations
Architecture & EngineeringArts, Media & EntertainmentBusiness & FinancialCleaning & MaintenanceCommunity & Social Service Computer & MathematicsComputer, Engineering & ScienceConstruction & ExtractionEducation Instruction & LibraryEducation, Arts & MediaFarming, Fishing & ForestryFirefighting & PreventionFood Preparation & ServingHealth Diagnosing & TreatingHealth TechnologistsHealthcare SupportInstallation, Maintenance & RepairLaw EnforcementLegal Services & SupportLife, Physical & Social ScienceManagementMaterial MovingOffice & AdministrationPersonal Care and ServiceProductionSales & RelatedSecurity & ProtectionTransportation
Employment Industries
Accommodation & Food ServicesAdministrative & Support ServicesAgriculture, Fishing & HuntingArts, Entertainment & RecreationConstructionEducational ServicesEnterprise ManagementFinance & InsuranceHealth Care & Social AssistanceInformation & TechnologyManufacturingMining, Quarrying, & ExtractionProfessional & Scientific ServicesPublic AdministrationReal Estate, Rental & LeasingRetail TradeTransportation & WarehousingUtilitiesWholesale Trade
Employer Class
Private Company EmployeesSelf-Employed / IncorporatedSelf-Employed / Not IncorporatedNot-for-profit OrganizationsLocal Government EmployeesState Government EmployeesFederal Government EmployeesUnpaid Family Workers
Commute Time
Longest CommuteLongest Commute | MaleLongest Commute | FemaleShortest CommuteShortest Commute | MaleShortest Commute | Female
Commute Means
Drive | AloneDrive | CarpoolPublic TransitTaxi / CabWalk to WorkWork from Home
Education Comparison
School Enrollment
In Private SchoolNursery / PreschoolKindergartenElementary SchoolMiddle SchoolHigh SchoolCollegeUniversity
Education by Degree Field
Computers and MathematicsBio, Nature & AgriculturalPhysical and Health SciencesPsychologySocial SciencesEngineeringMultidisciplinary StudiesScience and EngineeringBusinessEducationLiterature and LanguagesLiberal Arts and HistoryVisual and Performing ArtsCommunicationsArts and Humanities
Housing Comparison
Occupancy
Highest Owner-OccupiedHighest Renter-OccupiedLowest Owner-OccupiedLowest Renter-Occupied
Finances
Highest Median Housing CostsHighest Property PricesHighest Owner Housing CostsHighest Renter Housing CostsHighest Housing Costs / IncomeLowest Median Housing CostsLowest Property PricesLowest Owner Housing CostsLowest Renter Housing CostsLowest Housing Costs / Income
Physical Characteristics
Detached Home ResidencyCondo/Apartment ResidencyUtility Gas HeatingBottled Gas / LP HeatingElectrical HeatingFuel Oil HeatingCoal / Coke HeatingFuel-less HeatingHouseholds without a CarsHouseholds with 1 or more CarsHouseholds with 2 or more CarsHouseholds with 3 or more Cars

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico are:
#1
1,000.0
#2
230.0
#3
227.0
#4
151.0
#5
126.0
#6
118.0
#7
111.0
#8
108.0
#9
103.0
#10
99.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in New Mexico?
87012 has the Most Births per 1,000 Women Over the Age of 35 in New Mexico with 1,000.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of New Mexico?
Number of Births per 1,000 Women Over the Age of 35 in New Mexico is 30.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 31.0.

Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New Mexico Chart
Zip Code Births / 1,000 Women vs State vs National
1.870121,000.030.0(+970)#131.0(+969)#7
2.88008230.030.0(+200)#231.0(+199)#344
3.87825227.030.0(+197)#331.0(+196)#351
4.88316151.030.0(+121)#431.0(+120)#702
5.88252126.030.0(+96.0)#531.0(+95.0)#949
6.88072118.030.0(+88.0)#631.0(+87.0)#1,062
7.87083111.030.0(+81.0)#731.0(+80.0)#1,180
8.87416108.030.0(+78.0)#831.0(+77.0)#1,228
9.88044103.030.0(+73.0)#931.0(+72.0)#1,324
10.8793799.030.0(+69.0)#1031.0(+68.0)#1,406
11.8702499.030.0(+69.0)#1131.0(+68.0)#1,413
12.8741787.030.0(+57.0)#1231.0(+56.0)#1,745
13.8703476.030.0(+46.0)#1331.0(+45.0)#2,217
14.8834575.030.0(+45.0)#1431.0(+44.0)#2,254
15.8711669.030.0(+39.0)#1531.0(+38.0)#2,629
16.8752269.030.0(+39.0)#1631.0(+38.0)#2,632
17.8842669.030.0(+39.0)#1731.0(+38.0)#2,643
18.8752168.030.0(+38.0)#1831.0(+37.0)#2,735
19.8711266.030.0(+36.0)#1931.0(+35.0)#2,827
20.8741066.030.0(+36.0)#2031.0(+35.0)#2,846
21.8704365.030.0(+35.0)#2131.0(+34.0)#2,945
22.8813064.030.0(+34.0)#2231.0(+33.0)#3,003
23.8700263.030.0(+33.0)#2331.0(+32.0)#3,079
24.8732263.030.0(+33.0)#2431.0(+32.0)#3,154
25.8740160.030.0(+30.0)#2531.0(+29.0)#3,326
26.8802158.030.0(+28.0)#2631.0(+27.0)#3,575
27.8712357.030.0(+27.0)#2731.0(+26.0)#3,651
28.8790157.030.0(+27.0)#2831.0(+26.0)#3,720
29.8780156.030.0(+26.0)#2931.0(+25.0)#3,822
30.8730152.030.0(+22.0)#3031.0(+21.0)#4,286
31.8711051.030.0(+21.0)#3131.0(+20.0)#4,386
32.8826046.030.0(+16.0)#3231.0(+15.0)#5,185
33.8732646.030.0(+16.0)#3331.0(+15.0)#5,234
34.8804344.030.0(+14.0)#3431.0(+13.0)#5,589
35.8801141.030.0(+11.0)#3531.0(+10.00)#6,098
36.8824240.030.0(+10.00)#3631.0(+9.00)#6,424
37.8712239.030.0(+9.00)#3731.0(+8.00)#6,603
38.8711438.030.0(+8.00)#3831.0(+7.00)#6,721
39.8806138.030.0(+8.00)#3931.0(+7.00)#6,838
40.8712037.030.0(+7.00)#4031.0(+6.00)#6,960
41.8823037.030.0(+7.00)#4131.0(+6.00)#7,137
42.8714436.030.0(+6.00)#4231.0(+5.00)#7,209
43.8833036.030.0(+6.00)#4331.0(+5.00)#7,371
44.8750734.030.0(+4.00)#4431.0(+3.00)#7,691
45.8711334.030.0(+4.00)#4531.0(+3.00)#7,804
46.8702634.030.0(+4.00)#4631.0(+3.00)#7,874
47.8710832.030.0(+2.00)#4731.0(+1.000)#8,224
48.8711131.030.0(+1.000)#4831.0(=0.000)#8,461
49.8703131.030.0(+1.000)#4931.0(=0.000)#8,480
50.8746130.030.0(=0.000)#5031.0(-1.000)#9,009
51.8712429.030.0(-1.000)#5131.0(-2.00)#9,042
52.8824029.030.0(-1.000)#5231.0(-2.00)#9,061
53.8710929.030.0(-1.000)#5331.0(-2.00)#9,064
54.8750129.030.0(-1.000)#5431.0(-2.00)#9,184
55.8822028.030.0(-2.00)#5531.0(-3.00)#9,383
56.8731128.030.0(-2.00)#5631.0(-3.00)#9,582
57.8737528.030.0(-2.00)#5731.0(-3.00)#9,591
58.8752828.030.0(-2.00)#5831.0(-3.00)#9,601
59.8745527.030.0(-3.00)#5931.0(-4.00)#9,952
60.8704125.030.0(-5.00)#6031.0(-6.00)#10,544
61.8820124.030.0(-6.00)#6131.0(-7.00)#10,653
62.8740224.030.0(-6.00)#6231.0(-7.00)#10,747
63.8710523.030.0(-7.00)#6331.0(-8.00)#10,880
64.8831023.030.0(-7.00)#6431.0(-8.00)#10,921
65.8750523.030.0(-7.00)#6531.0(-8.00)#10,936
66.8804522.030.0(-8.00)#6631.0(-9.00)#11,439
67.8756622.030.0(-8.00)#6731.0(-9.00)#11,442
68.8712121.030.0(-9.00)#6831.0(-10.00)#11,486
69.8741321.030.0(-9.00)#6931.0(-10.00)#11,671
70.8705921.030.0(-9.00)#7031.0(-10.00)#11,701
71.8825620.030.0(-10.00)#7131.0(-11.0)#12,123
72.8800519.030.0(-11.0)#7231.0(-12.0)#12,237
73.8750619.030.0(-11.0)#7331.0(-12.0)#12,299
74.8810118.030.0(-12.0)#7431.0(-13.0)#12,501
75.8710218.030.0(-12.0)#7531.0(-13.0)#12,615
76.8821018.030.0(-12.0)#7631.0(-13.0)#12,618
77.8704818.030.0(-12.0)#7731.0(-13.0)#12,677
78.8800117.030.0(-13.0)#7831.0(-14.0)#12,841
79.8800717.030.0(-13.0)#7931.0(-14.0)#12,904
80.8753217.030.0(-13.0)#8031.0(-14.0)#12,923
81.8732317.030.0(-13.0)#8131.0(-14.0)#13,067
82.8834017.030.0(-13.0)#8231.0(-14.0)#13,069
83.8732517.030.0(-13.0)#8331.0(-14.0)#13,099
84.8801216.030.0(-14.0)#8431.0(-15.0)#13,191
85.8731316.030.0(-14.0)#8531.0(-15.0)#13,357
86.8702516.030.0(-14.0)#8631.0(-15.0)#13,410
87.8808114.030.0(-16.0)#8731.0(-17.0)#13,872
88.8700412.030.0(-18.0)#8831.0(-19.0)#14,504
89.8732812.030.0(-18.0)#8931.0(-19.0)#14,601
90.8732711.030.0(-19.0)#9031.0(-20.0)#14,815
91.8701311.030.0(-19.0)#9131.0(-20.0)#14,840
92.8803010.030.0(-20.0)#9231.0(-21.0)#14,996
93.8754410.030.0(-20.0)#9331.0(-21.0)#15,061
94.8702010.030.0(-20.0)#9431.0(-21.0)#15,079
95.8704510.030.0(-20.0)#9531.0(-21.0)#15,181
96.881199.030.0(-21.0)#9631.0(-22.0)#15,454
97.871068.030.0(-22.0)#9731.0(-23.0)#15,527
98.877018.030.0(-22.0)#9831.0(-23.0)#15,562
99.875117.030.0(-23.0)#9931.0(-24.0)#15,963
100.871076.030.0(-24.0)#10031.0(-25.0)#16,031
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