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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 Largest English Community in New Mexico

On this page

Common Questions

What are the Top 10 Zip Codes with the Largest English Community in New Mexico?
Top 10 Zip Codes with the Largest English Community in New Mexico are:
#1
7,503
#2
5,416
#3
5,400
#4
4,897
#5
4,713
#6
4,247
#7
4,180
#8
4,157
#9
3,900
#10
3,476
What zip code has the Largest English Community in New Mexico?
87111 has the Largest English Community in New Mexico with 7,503.
What is the Total English Population in the State of New Mexico?
Total English Population in New Mexico is 146,734.
What is the Total English Population in the United States?
Total English Population in the United States is 26,773,192.

Map of Zip Codes with the Largest English Community in New Mexico

0
10,000
Zip Codes with the Largest English Community in New Mexico Map

Zip Codes with the Largest English Community in New Mexico

Zip Codes with the Largest English Community in New Mexico Chart
Zip Code English vs State vs National
1.871117,503146,734(5.11%)#126,773,192(0.03%)#122
2.871125,416146,734(3.69%)#226,773,192(0.02%)#482
3.871245,400146,734(3.68%)#326,773,192(0.02%)#485
4.871204,897146,734(3.34%)#426,773,192(0.02%)#690
5.871144,713146,734(3.21%)#526,773,192(0.02%)#787
6.875054,247146,734(2.89%)#626,773,192(0.02%)#1,075
7.871444,180146,734(2.85%)#726,773,192(0.02%)#1,120
8.871094,157146,734(2.83%)#826,773,192(0.02%)#1,142
9.871103,900146,734(2.66%)#926,773,192(0.01%)#1,347
10.875073,476146,734(2.37%)#1026,773,192(0.01%)#1,743
11.883103,444146,734(2.35%)#1126,773,192(0.01%)#1,784
12.871233,345146,734(2.28%)#1226,773,192(0.01%)#1,898
13.880113,343146,734(2.28%)#1326,773,192(0.01%)#1,900
14.881013,299146,734(2.25%)#1426,773,192(0.01%)#1,956
15.874012,840146,734(1.94%)#1526,773,192(0.01%)#2,606
16.871222,791146,734(1.90%)#1626,773,192(0.01%)#2,688
17.875082,715146,734(1.85%)#1726,773,192(0.01%)#2,817
18.875012,445146,734(1.67%)#1826,773,192(0.01%)#3,355
19.870312,392146,734(1.63%)#1926,773,192(0.01%)#3,466
20.871082,309146,734(1.57%)#2026,773,192(0.01%)#3,648
21.882202,238146,734(1.53%)#2126,773,192(0.01%)#3,816
22.871072,062146,734(1.41%)#2226,773,192(0.01%)#4,231
23.880611,988146,734(1.35%)#2326,773,192(0.01%)#4,413
24.875441,958146,734(1.33%)#2426,773,192(0.01%)#4,493
25.882011,883146,734(1.28%)#2526,773,192(0.01%)#4,703
26.880121,877146,734(1.28%)#2626,773,192(0.01%)#4,719
27.870151,873146,734(1.28%)#2726,773,192(0.01%)#4,732
28.880051,764146,734(1.20%)#2826,773,192(0.01%)#5,061
29.871061,633146,734(1.11%)#2926,773,192(0.01%)#5,469
30.882401,611146,734(1.10%)#3026,773,192(0.01%)#5,531
31.882101,560146,734(1.06%)#3126,773,192(0.01%)#5,687
32.880071,552146,734(1.06%)#3226,773,192(0.01%)#5,718
33.870481,480146,734(1.01%)#3326,773,192(0.01%)#5,982
34.880011,445146,734(0.98%)#3426,773,192(0.01%)#6,111
35.874101,440146,734(0.98%)#3526,773,192(0.01%)#6,130
36.871131,431146,734(0.98%)#3626,773,192(0.01%)#6,162
37.880301,408146,734(0.96%)#3726,773,192(0.01%)#6,241
38.870591,385146,734(0.94%)#3826,773,192(0.01%)#6,323
39.875061,308146,734(0.89%)#3926,773,192(0.00%)#6,627
40.871051,232146,734(0.84%)#4026,773,192(0.00%)#6,967
41.871021,223146,734(0.83%)#4126,773,192(0.00%)#7,013
42.870021,205146,734(0.82%)#4226,773,192(0.00%)#7,094
43.881301,197146,734(0.82%)#4326,773,192(0.00%)#7,137
44.875711,125146,734(0.77%)#4426,773,192(0.00%)#7,478
45.871211,095146,734(0.75%)#4526,773,192(0.00%)#7,642
46.875291,094146,734(0.75%)#4626,773,192(0.00%)#7,647
47.882031,001146,734(0.68%)#4726,773,192(0.00%)#8,130
48.87104965146,734(0.66%)#4826,773,192(0.00%)#8,333
49.88345939146,734(0.64%)#4926,773,192(0.00%)#8,488
50.87402931146,734(0.63%)#5026,773,192(0.00%)#8,522
51.87301710146,734(0.48%)#5126,773,192(0.00%)#10,055
52.87043696146,734(0.47%)#5226,773,192(0.00%)#10,168
53.88401647146,734(0.44%)#5326,773,192(0.00%)#10,566
54.87020597146,734(0.41%)#5426,773,192(0.00%)#10,963
55.88260586146,734(0.40%)#5526,773,192(0.00%)#11,078
56.87413586146,734(0.40%)#5626,773,192(0.00%)#11,079
57.87047586146,734(0.40%)#5726,773,192(0.00%)#11,086
58.87801564146,734(0.38%)#5826,773,192(0.00%)#11,297
59.87901558146,734(0.38%)#5926,773,192(0.00%)#11,351
60.88330548146,734(0.37%)#6026,773,192(0.00%)#11,456
61.87740519146,734(0.35%)#6126,773,192(0.00%)#11,761
62.87004513146,734(0.35%)#6226,773,192(0.00%)#11,835
63.87701484146,734(0.33%)#6326,773,192(0.00%)#12,185
64.88242456146,734(0.31%)#6426,773,192(0.00%)#12,537
65.87016448146,734(0.31%)#6526,773,192(0.00%)#12,645
66.87035442146,734(0.30%)#6626,773,192(0.00%)#12,712
67.88352438146,734(0.30%)#6726,773,192(0.00%)#12,768
68.88317410146,734(0.28%)#6826,773,192(0.00%)#13,152
69.88316392146,734(0.27%)#6926,773,192(0.00%)#13,421
70.87068352146,734(0.24%)#7026,773,192(0.00%)#14,047
71.88321349146,734(0.24%)#7126,773,192(0.00%)#14,107
72.87532334146,734(0.23%)#7226,773,192(0.00%)#14,354
73.87008334146,734(0.23%)#7326,773,192(0.00%)#14,372
74.87116325146,734(0.22%)#7426,773,192(0.00%)#14,530
75.88312324146,734(0.22%)#7526,773,192(0.00%)#14,560
76.87942313146,734(0.21%)#7626,773,192(0.00%)#14,754
77.88081309146,734(0.21%)#7726,773,192(0.00%)#14,838
78.88231307146,734(0.21%)#7826,773,192(0.00%)#14,887
79.87540299146,734(0.20%)#7926,773,192(0.00%)#15,061
80.88415285146,734(0.19%)#8026,773,192(0.00%)#15,329
81.88008261146,734(0.18%)#8126,773,192(0.00%)#15,860
82.87056253146,734(0.17%)#8226,773,192(0.00%)#16,046
83.88041252146,734(0.17%)#8326,773,192(0.00%)#16,076
84.88325247146,734(0.17%)#8426,773,192(0.00%)#16,209
85.87010244146,734(0.17%)#8526,773,192(0.00%)#16,279
86.88230241146,734(0.16%)#8626,773,192(0.00%)#16,345
87.87557240146,734(0.16%)#8726,773,192(0.00%)#16,370
88.88337239146,734(0.16%)#8826,773,192(0.00%)#16,410
89.87025219146,734(0.15%)#8926,773,192(0.00%)#16,893
90.87558209146,734(0.14%)#9026,773,192(0.00%)#17,168
91.88002202146,734(0.14%)#9126,773,192(0.00%)#17,373
92.87935199146,734(0.14%)#9226,773,192(0.00%)#17,469
93.87710197146,734(0.13%)#9326,773,192(0.00%)#17,540
94.88021193146,734(0.13%)#9426,773,192(0.00%)#17,643
95.88046191146,734(0.13%)#9526,773,192(0.00%)#17,708
96.88045190146,734(0.13%)#9626,773,192(0.00%)#17,717
97.88047182146,734(0.12%)#9726,773,192(0.00%)#17,969
98.88301174146,734(0.12%)#9826,773,192(0.00%)#18,223
99.87825171146,734(0.12%)#9926,773,192(0.00%)#18,315
100.88435163146,734(0.11%)#10026,773,192(0.00%)#18,607
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