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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 Fewest 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 Fewest Births per 1,000 Women Over the Age of 35 in New Mexico?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in New Mexico are:
#1
1.0
#2
3.0
#3
5.0
#4
6.0
#5
6.0
#6
7.0
#7
8.0
#8
8.0
#9
9.0
#10
10.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in New Mexico?
87104 has the Fewest Births per 1,000 Women Over the Age of 35 in New Mexico with 1.0.
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 Fewest Births per 1,000 Women Over the Age of 35 in New Mexico

150.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in New Mexico Map

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

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in New Mexico Chart
Zip Code Births / 1,000 Women vs State vs National
1.871041.030.0(-29.0)#131.0(-30.0)#27
2.870523.030.0(-27.0)#231.0(-28.0)#248
3.873195.030.0(-25.0)#331.0(-26.0)#599
4.871076.030.0(-24.0)#431.0(-25.0)#652
5.874206.030.0(-24.0)#531.0(-25.0)#736
6.875117.030.0(-23.0)#631.0(-24.0)#1,059
7.871068.030.0(-22.0)#731.0(-23.0)#1,147
8.877018.030.0(-22.0)#831.0(-23.0)#1,182
9.881199.030.0(-21.0)#931.0(-22.0)#1,613
10.8803010.030.0(-20.0)#1031.0(-21.0)#1,699
11.8754410.030.0(-20.0)#1131.0(-21.0)#1,764
12.8702010.030.0(-20.0)#1231.0(-21.0)#1,782
13.8704510.030.0(-20.0)#1331.0(-21.0)#1,884
14.8732711.030.0(-19.0)#1431.0(-20.0)#2,078
15.8701311.030.0(-19.0)#1531.0(-20.0)#2,103
16.8700412.030.0(-18.0)#1631.0(-19.0)#2,344
17.8732812.030.0(-18.0)#1731.0(-19.0)#2,441
18.8808114.030.0(-16.0)#1831.0(-17.0)#2,899
19.8801216.030.0(-14.0)#1931.0(-15.0)#3,461
20.8731316.030.0(-14.0)#2031.0(-15.0)#3,627
21.8702516.030.0(-14.0)#2131.0(-15.0)#3,680
22.8800117.030.0(-13.0)#2231.0(-14.0)#3,744
23.8800717.030.0(-13.0)#2331.0(-14.0)#3,807
24.8753217.030.0(-13.0)#2431.0(-14.0)#3,826
25.8732317.030.0(-13.0)#2531.0(-14.0)#3,970
26.8834017.030.0(-13.0)#2631.0(-14.0)#3,972
27.8732517.030.0(-13.0)#2731.0(-14.0)#4,002
28.8810118.030.0(-12.0)#2831.0(-13.0)#4,062
29.8710218.030.0(-12.0)#2931.0(-13.0)#4,176
30.8821018.030.0(-12.0)#3031.0(-13.0)#4,179
31.8704818.030.0(-12.0)#3131.0(-13.0)#4,238
32.8800519.030.0(-11.0)#3231.0(-12.0)#4,434
33.8750619.030.0(-11.0)#3331.0(-12.0)#4,496
34.8825620.030.0(-10.00)#3431.0(-11.0)#4,967
35.8712121.030.0(-9.00)#3531.0(-10.00)#5,005
36.8741321.030.0(-9.00)#3631.0(-10.00)#5,190
37.8705921.030.0(-9.00)#3731.0(-10.00)#5,220
38.8804522.030.0(-8.00)#3831.0(-9.00)#5,607
39.8756622.030.0(-8.00)#3931.0(-9.00)#5,610
40.8710523.030.0(-7.00)#4031.0(-8.00)#5,669
41.8831023.030.0(-7.00)#4131.0(-8.00)#5,710
42.8750523.030.0(-7.00)#4231.0(-8.00)#5,725
43.8820124.030.0(-6.00)#4331.0(-7.00)#6,073
44.8740224.030.0(-6.00)#4431.0(-7.00)#6,167
45.8704125.030.0(-5.00)#4531.0(-6.00)#6,592
46.8745527.030.0(-3.00)#4631.0(-4.00)#7,159
47.8822028.030.0(-2.00)#4731.0(-3.00)#7,234
48.8731128.030.0(-2.00)#4831.0(-3.00)#7,433
49.8737528.030.0(-2.00)#4931.0(-3.00)#7,442
50.8752828.030.0(-2.00)#5031.0(-3.00)#7,452
51.8712429.030.0(-1.000)#5131.0(-2.00)#7,525
52.8824029.030.0(-1.000)#5231.0(-2.00)#7,544
53.8710929.030.0(-1.000)#5331.0(-2.00)#7,547
54.8750129.030.0(-1.000)#5431.0(-2.00)#7,667
55.8746130.030.0(=0.000)#5531.0(-1.000)#8,069
56.8711131.030.0(+1.000)#5631.0(=0.000)#8,097
57.8703131.030.0(+1.000)#5731.0(=0.000)#8,116
58.8710832.030.0(+2.00)#5831.0(+1.000)#8,443
59.8750734.030.0(+4.00)#5931.0(+3.00)#8,926
60.8711334.030.0(+4.00)#6031.0(+3.00)#9,039
61.8702634.030.0(+4.00)#6131.0(+3.00)#9,109
62.8714436.030.0(+6.00)#6231.0(+5.00)#9,437
63.8833036.030.0(+6.00)#6331.0(+5.00)#9,599
64.8712037.030.0(+7.00)#6431.0(+6.00)#9,654
65.8823037.030.0(+7.00)#6531.0(+6.00)#9,831
66.8711438.030.0(+8.00)#6631.0(+7.00)#9,882
67.8806138.030.0(+8.00)#6731.0(+7.00)#9,999
68.8712239.030.0(+9.00)#6831.0(+8.00)#10,230
69.8824240.030.0(+10.00)#6931.0(+9.00)#10,512
70.8801141.030.0(+11.0)#7031.0(+10.00)#10,646
71.8804344.030.0(+14.0)#7131.0(+13.0)#11,395
72.8826046.030.0(+16.0)#7231.0(+15.0)#11,661
73.8732646.030.0(+16.0)#7331.0(+15.0)#11,710
74.8711051.030.0(+21.0)#7431.0(+20.0)#12,363
75.8730152.030.0(+22.0)#7531.0(+21.0)#12,498
76.8780156.030.0(+26.0)#7631.0(+25.0)#13,010
77.8712357.030.0(+27.0)#7731.0(+26.0)#13,079
78.8790157.030.0(+27.0)#7831.0(+26.0)#13,148
79.8802158.030.0(+28.0)#7931.0(+27.0)#13,237
80.8740160.030.0(+30.0)#8031.0(+29.0)#13,410
81.8700263.030.0(+33.0)#8131.0(+32.0)#13,698
82.8732263.030.0(+33.0)#8231.0(+32.0)#13,773
83.8813064.030.0(+34.0)#8331.0(+33.0)#13,817
84.8704365.030.0(+35.0)#8431.0(+34.0)#13,919
85.8711266.030.0(+36.0)#8531.0(+35.0)#13,944
86.8741066.030.0(+36.0)#8631.0(+35.0)#13,963
87.8752168.030.0(+38.0)#8731.0(+37.0)#14,165
88.8711669.030.0(+39.0)#8831.0(+38.0)#14,205
89.8752269.030.0(+39.0)#8931.0(+38.0)#14,208
90.8842669.030.0(+39.0)#9031.0(+38.0)#14,219
91.8834575.030.0(+45.0)#9131.0(+44.0)#14,567
92.8703476.030.0(+46.0)#9231.0(+45.0)#14,632
93.8741787.030.0(+57.0)#9331.0(+56.0)#15,087
94.8793799.030.0(+69.0)#9431.0(+68.0)#15,412
95.8702499.030.0(+69.0)#9531.0(+68.0)#15,419
96.88044103.030.0(+73.0)#9631.0(+72.0)#15,507
97.87416108.030.0(+78.0)#9731.0(+77.0)#15,592
98.87083111.030.0(+81.0)#9831.0(+80.0)#15,669
99.88072118.030.0(+88.0)#9931.0(+87.0)#15,766
100.88252126.030.0(+96.0)#10031.0(+95.0)#15,884
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