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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 Cambodian Community in New York

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Common Questions

What are the Top 10 Zip Codes with the Largest Cambodian Community in New York?
Top 10 Zip Codes with the Largest Cambodian Community in New York are:
#1
938
#2
247
#3
241
#4
236
#5
229
#6
208
#7
194
#8
187
#9
183
#10
178
What zip code has the Largest Cambodian Community in New York?
13501 has the Largest Cambodian Community in New York with 938.
What is the Total Cambodian Population in the State of New York?
Total Cambodian Population in New York is 6,197.
What is the Total Cambodian Population in the United States?
Total Cambodian Population in the United States is 340,697.

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

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1,000
Zip Codes with the Largest Cambodian Community in New York Map

Zip Codes with the Largest Cambodian Community in New York

Zip Codes with the Largest Cambodian Community in New York Chart
Zip Code Cambodian vs State vs National
1.135019386,197(15.14%)#1340,697(0.28%)#29
2.112342476,197(3.99%)#2340,697(0.07%)#288
3.132032416,197(3.89%)#3340,697(0.07%)#302
4.148172366,197(3.81%)#4340,697(0.07%)#308
5.104582296,197(3.70%)#5340,697(0.07%)#321
6.113642086,197(3.36%)#6340,697(0.06%)#369
7.105121946,197(3.13%)#7340,697(0.06%)#404
8.148501876,197(3.02%)#8340,697(0.05%)#425
9.135021836,197(2.95%)#9340,697(0.05%)#439
10.104691786,197(2.87%)#10340,697(0.05%)#452
11.100111606,197(2.58%)#11340,697(0.05%)#510
12.104611566,197(2.52%)#12340,697(0.05%)#522
13.103061546,197(2.49%)#13340,697(0.05%)#532
14.112261296,197(2.08%)#14340,697(0.04%)#641
15.144251186,197(1.90%)#15340,697(0.03%)#709
16.109271056,197(1.69%)#16340,697(0.03%)#787
17.113751036,197(1.66%)#17340,697(0.03%)#795
18.132101006,197(1.61%)#18340,697(0.03%)#828
19.10467946,197(1.52%)#19340,697(0.03%)#864
20.10465806,197(1.29%)#20340,697(0.02%)#986
21.11235766,197(1.23%)#21340,697(0.02%)#1,030
22.11368756,197(1.21%)#22340,697(0.02%)#1,040
23.10916726,197(1.16%)#23340,697(0.02%)#1,082
24.10523606,197(0.97%)#24340,697(0.02%)#1,246
25.14580546,197(0.87%)#25340,697(0.02%)#1,323
26.12962536,197(0.86%)#26340,697(0.02%)#1,352
27.12210506,197(0.81%)#27340,697(0.01%)#1,409
28.14606496,197(0.79%)#28340,697(0.01%)#1,426
29.11223486,197(0.77%)#29340,697(0.01%)#1,435
30.13637466,197(0.74%)#30340,697(0.01%)#1,492
31.11581446,197(0.71%)#31340,697(0.01%)#1,528
32.10007446,197(0.71%)#32340,697(0.01%)#1,532
33.11204406,197(0.65%)#33340,697(0.01%)#1,590
34.11379376,197(0.60%)#34340,697(0.01%)#1,673
35.11101356,197(0.56%)#35340,697(0.01%)#1,723
36.11237346,197(0.55%)#36340,697(0.01%)#1,737
37.11228336,197(0.53%)#37340,697(0.01%)#1,761
38.10037336,197(0.53%)#38340,697(0.01%)#1,774
39.13622336,197(0.53%)#39340,697(0.01%)#1,788
40.10462326,197(0.52%)#40340,697(0.01%)#1,789
41.14519326,197(0.52%)#41340,697(0.01%)#1,809
42.10579326,197(0.52%)#42340,697(0.01%)#1,812
43.10463306,197(0.48%)#43340,697(0.01%)#1,849
44.14221306,197(0.48%)#44340,697(0.01%)#1,853
45.13661306,197(0.48%)#45340,697(0.01%)#1,882
46.11358296,197(0.47%)#46340,697(0.01%)#1,895
47.13208286,197(0.45%)#47340,697(0.01%)#1,946
48.14411286,197(0.45%)#48340,697(0.01%)#1,952
49.12074286,197(0.45%)#49340,697(0.01%)#1,955
50.10518286,197(0.45%)#50340,697(0.01%)#1,956
51.12065276,197(0.44%)#51340,697(0.01%)#1,964
52.11001276,197(0.44%)#52340,697(0.01%)#1,971
53.14456276,197(0.44%)#53340,697(0.01%)#1,979
54.12701276,197(0.44%)#54340,697(0.01%)#1,984
55.11354246,197(0.39%)#55340,697(0.01%)#2,059
56.13603246,197(0.39%)#56340,697(0.01%)#2,093
57.14109246,197(0.39%)#57340,697(0.01%)#2,101
58.11357236,197(0.37%)#58340,697(0.01%)#2,108
59.13650236,197(0.37%)#59340,697(0.01%)#2,139
60.11710226,197(0.36%)#60340,697(0.01%)#2,156
61.10922216,197(0.34%)#61340,697(0.01%)#2,217
62.12590206,197(0.32%)#62340,697(0.01%)#2,236
63.10591206,197(0.32%)#63340,697(0.01%)#2,248
64.13060196,197(0.31%)#64340,697(0.01%)#2,314
65.12581196,197(0.31%)#65340,697(0.01%)#2,315
66.10583186,197(0.29%)#66340,697(0.01%)#2,324
67.12866186,197(0.29%)#67340,697(0.01%)#2,326
68.12528186,197(0.29%)#68340,697(0.01%)#2,349
69.14063176,197(0.27%)#69340,697(0.00%)#2,396
70.11373166,197(0.26%)#70340,697(0.00%)#2,409
71.11219166,197(0.26%)#71340,697(0.00%)#2,410
72.11694166,197(0.26%)#72340,697(0.00%)#2,442
73.10024156,197(0.24%)#73340,697(0.00%)#2,480
74.13827156,197(0.24%)#74340,697(0.00%)#2,520
75.14454156,197(0.24%)#75340,697(0.00%)#2,521
76.14085156,197(0.24%)#76340,697(0.00%)#2,524
77.11106146,197(0.23%)#77340,697(0.00%)#2,540
78.10470146,197(0.23%)#78340,697(0.00%)#2,562
79.12524146,197(0.23%)#79340,697(0.00%)#2,566
80.13224146,197(0.23%)#80340,697(0.00%)#2,574
81.11221136,197(0.21%)#81340,697(0.00%)#2,588
82.11218136,197(0.21%)#82340,697(0.00%)#2,589
83.11432136,197(0.21%)#83340,697(0.00%)#2,591
84.11360136,197(0.21%)#84340,697(0.00%)#2,617
85.14526136,197(0.21%)#85340,697(0.00%)#2,618
86.11372126,197(0.19%)#86340,697(0.00%)#2,642
87.10039126,197(0.19%)#87340,697(0.00%)#2,665
88.14843126,197(0.19%)#88340,697(0.00%)#2,686
89.11215116,197(0.18%)#89340,697(0.00%)#2,703
90.14467116,197(0.18%)#90340,697(0.00%)#2,751
91.10607116,197(0.18%)#91340,697(0.00%)#2,755
92.11214106,197(0.16%)#92340,697(0.00%)#2,760
93.12019106,197(0.16%)#93340,697(0.00%)#2,802
94.12308106,197(0.16%)#94340,697(0.00%)#2,804
95.12062106,197(0.16%)#95340,697(0.00%)#2,828
96.1159096,197(0.15%)#96340,697(0.00%)#2,840
97.1136596,197(0.15%)#97340,697(0.00%)#2,841
98.1221196,197(0.15%)#98340,697(0.00%)#2,880
99.1369196,197(0.15%)#99340,697(0.00%)#2,899
100.1218086,197(0.13%)#100340,697(0.00%)#2,912
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