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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 Iranian 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 Iranian Community in New York?
Top 10 Zip Codes with the Largest Iranian Community in New York are:
#1
2,664
#2
1,686
#3
1,561
#4
729
#5
645
#6
599
#7
469
#8
412
#9
405
#10
393
What zip code has the Largest Iranian Community in New York?
11024 has the Largest Iranian Community in New York with 2,664.
What is the Total Iranian Population in the State of New York?
Total Iranian Population in New York is 27,722.
What is the Total Iranian Population in the United States?
Total Iranian Population in the United States is 484,675.

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

0
3,000
Zip Codes with the Largest Iranian Community in New York Map

Zip Codes with the Largest Iranian Community in New York

Zip Codes with the Largest Iranian Community in New York Chart
Zip Code Iranian vs State vs National
1.110242,66427,722(9.61%)#1484,675(0.55%)#9
2.110211,68627,722(6.08%)#2484,675(0.35%)#18
3.110231,56127,722(5.63%)#3484,675(0.32%)#22
4.1002172927,722(2.63%)#4484,675(0.15%)#83
5.1157764527,722(2.33%)#5484,675(0.13%)#98
6.1137559927,722(2.16%)#6484,675(0.12%)#110
7.1135746927,722(1.69%)#7484,675(0.10%)#170
8.1001641227,722(1.49%)#8484,675(0.09%)#220
9.1012840527,722(1.46%)#9484,675(0.08%)#222
10.1138539327,722(1.42%)#10484,675(0.08%)#233
11.1157634127,722(1.23%)#11484,675(0.07%)#264
12.1122933627,722(1.21%)#12484,675(0.07%)#271
13.1123033527,722(1.21%)#13484,675(0.07%)#272
14.1120132727,722(1.18%)#14484,675(0.07%)#280
15.1105031227,722(1.13%)#15484,675(0.06%)#295
16.1103030527,722(1.10%)#16484,675(0.06%)#306
17.1143527727,722(1.00%)#17484,675(0.06%)#349
18.1002327327,722(0.98%)#18484,675(0.06%)#359
19.1230426727,722(0.96%)#19484,675(0.06%)#374
20.1000325727,722(0.93%)#20484,675(0.05%)#388
21.1179124527,722(0.88%)#21484,675(0.05%)#421
22.1174623927,722(0.86%)#22484,675(0.05%)#432
23.1001123927,722(0.86%)#23484,675(0.05%)#433
24.1003223427,722(0.84%)#24484,675(0.05%)#446
25.1218021227,722(0.76%)#25484,675(0.04%)#503
26.1156821027,722(0.76%)#26484,675(0.04%)#511
27.1002820827,722(0.75%)#27484,675(0.04%)#513
28.1180320527,722(0.74%)#28484,675(0.04%)#524
29.1121520127,722(0.73%)#29484,675(0.04%)#532
30.1155720027,722(0.72%)#30484,675(0.04%)#536
31.1031419627,722(0.71%)#31484,675(0.04%)#545
32.1002919527,722(0.70%)#32484,675(0.04%)#547
33.1121619527,722(0.70%)#33484,675(0.04%)#548
34.1000918327,722(0.66%)#34484,675(0.04%)#588
35.1122617827,722(0.64%)#35484,675(0.04%)#611
36.1141517627,722(0.63%)#36484,675(0.04%)#625
37.1001017027,722(0.61%)#37484,675(0.04%)#644
38.1002516627,722(0.60%)#38484,675(0.03%)#660
39.1002616627,722(0.60%)#39484,675(0.03%)#661
40.1002416527,722(0.60%)#40484,675(0.03%)#663
41.1220316327,722(0.59%)#41484,675(0.03%)#679
42.1004416227,722(0.58%)#42484,675(0.03%)#683
43.1120515827,722(0.57%)#43484,675(0.03%)#703
44.1006515727,722(0.57%)#44484,675(0.03%)#707
45.1001215627,722(0.56%)#45484,675(0.03%)#711
46.1007515127,722(0.54%)#46484,675(0.03%)#744
47.1122514927,722(0.54%)#47484,675(0.03%)#751
48.1057714727,722(0.53%)#48484,675(0.03%)#770
49.1123314627,722(0.53%)#49484,675(0.03%)#771
50.1136514427,722(0.52%)#50484,675(0.03%)#785
51.1154513227,722(0.48%)#51484,675(0.03%)#871
52.1110112827,722(0.46%)#52484,675(0.03%)#897
53.1137412727,722(0.46%)#53484,675(0.03%)#903
54.1002212727,722(0.46%)#54484,675(0.03%)#906
55.1176812727,722(0.46%)#55484,675(0.03%)#907
56.1485012427,722(0.45%)#56484,675(0.03%)#925
57.1422812027,722(0.43%)#57484,675(0.02%)#957
58.1095011627,722(0.42%)#58484,675(0.02%)#988
59.1120411527,722(0.41%)#59484,675(0.02%)#993
60.1123111427,722(0.41%)#60484,675(0.02%)#1,002
61.1003611227,722(0.40%)#61484,675(0.02%)#1,027
62.1453411127,722(0.40%)#62484,675(0.02%)#1,036
63.1030311127,722(0.40%)#63484,675(0.02%)#1,038
64.1136710827,722(0.39%)#64484,675(0.02%)#1,060
65.1122210727,722(0.39%)#65484,675(0.02%)#1,072
66.1179710527,722(0.38%)#66484,675(0.02%)#1,101
67.1104010027,722(0.36%)#67484,675(0.02%)#1,153
68.112039927,722(0.36%)#68484,675(0.02%)#1,164
69.112119627,722(0.35%)#69484,675(0.02%)#1,200
70.126039027,722(0.32%)#70484,675(0.02%)#1,264
71.100389027,722(0.32%)#71484,675(0.02%)#1,268
72.115308927,722(0.32%)#72484,675(0.02%)#1,278
73.112178627,722(0.31%)#73484,675(0.02%)#1,316
74.113588627,722(0.31%)#74484,675(0.02%)#1,321
75.100178527,722(0.31%)#75484,675(0.02%)#1,332
76.100018427,722(0.30%)#76484,675(0.02%)#1,341
77.138508227,722(0.30%)#77484,675(0.02%)#1,372
78.112068127,722(0.29%)#78484,675(0.02%)#1,377
79.100408127,722(0.29%)#79484,675(0.02%)#1,379
80.111047827,722(0.28%)#80484,675(0.02%)#1,428
81.132107327,722(0.26%)#81484,675(0.02%)#1,525
82.111027227,722(0.26%)#82484,675(0.01%)#1,534
83.117767227,722(0.26%)#83484,675(0.01%)#1,539
84.107067127,722(0.26%)#84484,675(0.01%)#1,567
85.142217027,722(0.25%)#85484,675(0.01%)#1,574
86.105527027,722(0.25%)#86484,675(0.01%)#1,589
87.105106827,722(0.25%)#87484,675(0.01%)#1,622
88.100066827,722(0.25%)#88484,675(0.01%)#1,623
89.100076727,722(0.24%)#89484,675(0.01%)#1,642
90.117356627,722(0.24%)#90484,675(0.01%)#1,656
91.105956327,722(0.23%)#91484,675(0.01%)#1,717
92.117586227,722(0.22%)#92484,675(0.01%)#1,720
93.115966227,722(0.22%)#93484,675(0.01%)#1,736
94.109966227,722(0.22%)#94484,675(0.01%)#1,737
95.117716127,722(0.22%)#95484,675(0.01%)#1,763
96.104685927,722(0.21%)#96484,675(0.01%)#1,789
97.100145727,722(0.21%)#97484,675(0.01%)#1,823
98.105225727,722(0.21%)#98484,675(0.01%)#1,834
99.112385627,722(0.20%)#99484,675(0.01%)#1,843
100.115525627,722(0.20%)#100484,675(0.01%)#1,862
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