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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 Guatemalan Community in New York

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Comparison Subject
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Comparison Scope

Common Questions

What are the Top 10 Zip Codes with the Largest Guatemalan Community in New York?
Top 10 Zip Codes with the Largest Guatemalan Community in New York are:
#1
3,938
#2
3,704
#3
3,186
#4
2,965
#5
2,384
#6
2,318
#7
2,191
#8
2,174
#9
2,042
#10
1,939
What zip code has the Largest Guatemalan Community in New York?
10977 has the Largest Guatemalan Community in New York with 3,938.
What is the Total Guatemalan Population in the State of New York?
Total Guatemalan Population in New York is 94,805.
What is the Total Guatemalan Population in the United States?
Total Guatemalan Population in the United States is 1,586,952.

Map of Zip Codes with the Largest Guatemalan Community in New York

0
4,000
Zip Codes with the Largest Guatemalan Community in New York Map

Zip Codes with the Largest Guatemalan Community in New York

Zip Codes with the Largest Guatemalan Community in New York Chart
Zip Code Guatemalan vs State vs National
1.109773,93894,805(4.15%)#11,586,952(0.25%)#33
2.105733,70494,805(3.91%)#21,586,952(0.23%)#36
3.119013,18694,805(3.36%)#31,586,952(0.20%)#47
4.114322,96594,805(3.13%)#41,586,952(0.19%)#60
5.105492,38494,805(2.51%)#51,586,952(0.15%)#87
6.114352,31894,805(2.45%)#61,586,952(0.15%)#91
7.116912,19194,805(2.31%)#71,586,952(0.14%)#102
8.112142,17494,805(2.29%)#81,586,952(0.14%)#103
9.117172,04294,805(2.15%)#91,586,952(0.13%)#113
10.113681,93994,805(2.05%)#101,586,952(0.12%)#118
11.105091,81194,805(1.91%)#111,586,952(0.11%)#131
12.108011,79394,805(1.89%)#121,586,952(0.11%)#136
13.115501,45394,805(1.53%)#131,586,952(0.09%)#186
14.112191,36694,805(1.44%)#141,586,952(0.09%)#199
15.112041,23494,805(1.30%)#151,586,952(0.08%)#230
16.112201,21394,805(1.28%)#161,586,952(0.08%)#236
17.110961,17794,805(1.24%)#171,586,952(0.07%)#249
18.115201,14694,805(1.21%)#181,586,952(0.07%)#258
19.108051,09694,805(1.16%)#191,586,952(0.07%)#270
20.105431,03394,805(1.09%)#201,586,952(0.07%)#293
21.1056699194,805(1.05%)#211,586,952(0.06%)#308
22.1255090894,805(0.96%)#221,586,952(0.06%)#345
23.1070185194,805(0.90%)#231,586,952(0.05%)#370
24.1045682494,805(0.87%)#241,586,952(0.05%)#383
25.1120881394,805(0.86%)#251,586,952(0.05%)#392
26.1174677994,805(0.82%)#261,586,952(0.05%)#412
27.1045772794,805(0.77%)#271,586,952(0.05%)#445
28.1051271394,805(0.75%)#281,586,952(0.04%)#461
29.1046870694,805(0.74%)#291,586,952(0.04%)#468
30.1194670694,805(0.74%)#301,586,952(0.04%)#469
31.1045869094,805(0.73%)#311,586,952(0.04%)#484
32.1137364894,805(0.68%)#321,586,952(0.04%)#523
33.1172261694,805(0.65%)#331,586,952(0.04%)#564
34.1047261594,805(0.65%)#341,586,952(0.04%)#565
35.1170658094,805(0.61%)#351,586,952(0.04%)#597
36.1122856694,805(0.60%)#361,586,952(0.04%)#616
37.1096054394,805(0.57%)#371,586,952(0.03%)#644
38.1120753194,805(0.56%)#381,586,952(0.03%)#658
39.1138549394,805(0.52%)#391,586,952(0.03%)#706
40.1045447194,805(0.50%)#401,586,952(0.03%)#739
41.1003546994,805(0.49%)#411,586,952(0.03%)#744
42.1123245694,805(0.48%)#421,586,952(0.03%)#772
43.1141945194,805(0.48%)#431,586,952(0.03%)#785
44.1270144594,805(0.47%)#441,586,952(0.03%)#795
45.1070544294,805(0.47%)#451,586,952(0.03%)#798
46.1141642194,805(0.44%)#461,586,952(0.03%)#848
47.1142742094,805(0.44%)#471,586,952(0.03%)#852
48.1137741194,805(0.43%)#481,586,952(0.03%)#874
49.1123740294,805(0.42%)#491,586,952(0.03%)#897
50.1196739594,805(0.42%)#501,586,952(0.02%)#912
51.1046739094,805(0.41%)#511,586,952(0.02%)#924
52.1141839094,805(0.41%)#521,586,952(0.02%)#926
53.1002538994,805(0.41%)#531,586,952(0.02%)#928
54.1045338894,805(0.41%)#541,586,952(0.02%)#930
55.1122538694,805(0.41%)#551,586,952(0.02%)#933
56.1122336294,805(0.38%)#561,586,952(0.02%)#978
57.1045235594,805(0.37%)#571,586,952(0.02%)#995
58.1194435594,805(0.37%)#581,586,952(0.02%)#998
59.1122935494,805(0.37%)#591,586,952(0.02%)#999
60.1142834994,805(0.37%)#601,586,952(0.02%)#1,010
61.1002934794,805(0.37%)#611,586,952(0.02%)#1,016
62.1121834294,805(0.36%)#621,586,952(0.02%)#1,034
63.1047533994,805(0.36%)#631,586,952(0.02%)#1,043
64.1070333994,805(0.36%)#641,586,952(0.02%)#1,046
65.1050732994,805(0.35%)#651,586,952(0.02%)#1,087
66.1141532694,805(0.34%)#661,586,952(0.02%)#1,092
67.1100331994,805(0.34%)#671,586,952(0.02%)#1,110
68.1155331194,805(0.33%)#681,586,952(0.02%)#1,150
69.1046030994,805(0.33%)#691,586,952(0.02%)#1,158
70.1031030694,805(0.32%)#701,586,952(0.02%)#1,168
71.1141729994,805(0.32%)#711,586,952(0.02%)#1,180
72.1260129594,805(0.31%)#721,586,952(0.02%)#1,194
73.1158028994,805(0.30%)#731,586,952(0.02%)#1,218
74.1047028994,805(0.30%)#741,586,952(0.02%)#1,220
75.1045928394,805(0.30%)#751,586,952(0.02%)#1,237
76.1156327794,805(0.29%)#761,586,952(0.02%)#1,268
77.1105027594,805(0.29%)#771,586,952(0.02%)#1,275
78.1135627094,805(0.28%)#781,586,952(0.02%)#1,294
79.1052226994,805(0.28%)#791,586,952(0.02%)#1,303
80.1143326594,805(0.28%)#801,586,952(0.02%)#1,321
81.1047325994,805(0.27%)#811,586,952(0.02%)#1,342
82.1174325994,805(0.27%)#821,586,952(0.02%)#1,344
83.1060625694,805(0.27%)#831,586,952(0.02%)#1,357
84.1120525294,805(0.27%)#841,586,952(0.02%)#1,377
85.1157525294,805(0.27%)#851,586,952(0.02%)#1,381
86.1137524894,805(0.26%)#861,586,952(0.02%)#1,402
87.1154224594,805(0.26%)#871,586,952(0.02%)#1,427
88.1095224094,805(0.25%)#881,586,952(0.02%)#1,453
89.1046123994,805(0.25%)#891,586,952(0.02%)#1,457
90.1046223894,805(0.25%)#901,586,952(0.01%)#1,462
91.1137223794,805(0.25%)#911,586,952(0.01%)#1,466
92.1174723694,805(0.25%)#921,586,952(0.01%)#1,473
93.1102123494,805(0.25%)#931,586,952(0.01%)#1,489
94.1135823294,805(0.24%)#941,586,952(0.01%)#1,502
95.1195323294,805(0.24%)#951,586,952(0.01%)#1,504
96.1123323194,805(0.24%)#961,586,952(0.01%)#1,505
97.1122223094,805(0.24%)#971,586,952(0.01%)#1,511
98.1060322694,805(0.24%)#981,586,952(0.01%)#1,536
99.1090122294,805(0.23%)#991,586,952(0.01%)#1,559
100.1256421894,805(0.23%)#1001,586,952(0.01%)#1,581
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