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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 Serbian Community in New York

On this page

Common Questions

What are the Top 10 Zip Codes with the Largest Serbian Community in New York?
Top 10 Zip Codes with the Largest Serbian Community in New York are:
#1
718
#2
419
#3
320
#4
306
#5
259
#6
254
#7
231
#8
226
#9
214
#10
208
What zip code has the Largest Serbian Community in New York?
11385 has the Largest Serbian Community in New York with 718.
What is the Total Serbian Population in the State of New York?
Total Serbian Population in New York is 10,790.
What is the Total Serbian Population in the United States?
Total Serbian Population in the United States is 193,528.

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

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Zip Codes with the Largest Serbian Community in New York Map

Zip Codes with the Largest Serbian Community in New York

Zip Codes with the Largest Serbian Community in New York Chart
Zip Code Serbian vs State vs National
1.1138571810,790(6.65%)#1193,528(0.37%)#6
2.1137941910,790(3.88%)#2193,528(0.22%)#25
3.1179332010,790(2.97%)#3193,528(0.17%)#55
4.1407530610,790(2.84%)#4193,528(0.16%)#59
5.1137425910,790(2.40%)#5193,528(0.13%)#89
6.1110125410,790(2.35%)#6193,528(0.13%)#96
7.1002123110,790(2.14%)#7193,528(0.12%)#117
8.1178722610,790(2.09%)#8193,528(0.12%)#121
9.1110321410,790(1.98%)#9193,528(0.11%)#136
10.1120120810,790(1.93%)#10193,528(0.11%)#141
11.1150120610,790(1.91%)#11193,528(0.11%)#145
12.1002515210,790(1.41%)#12193,528(0.08%)#226
13.1420714410,790(1.33%)#13193,528(0.07%)#240
14.1053313710,790(1.27%)#14193,528(0.07%)#257
15.1137213010,790(1.20%)#15193,528(0.07%)#276
16.1003312710,790(1.18%)#16193,528(0.07%)#286
17.1110612410,790(1.15%)#17193,528(0.06%)#299
18.1004412310,790(1.14%)#18193,528(0.06%)#303
19.1415011910,790(1.10%)#19193,528(0.06%)#309
20.1422011710,790(1.08%)#20193,528(0.06%)#319
21.1003811210,790(1.04%)#21193,528(0.06%)#341
22.1046310510,790(0.97%)#22193,528(0.05%)#372
23.1137810110,790(0.94%)#23193,528(0.05%)#405
24.1002210110,790(0.94%)#24193,528(0.05%)#407
25.1093010110,790(0.94%)#25193,528(0.05%)#410
26.1136410010,790(0.93%)#26193,528(0.05%)#414
27.100409510,790(0.88%)#27193,528(0.05%)#440
28.100239410,790(0.87%)#28193,528(0.05%)#443
29.112299310,790(0.86%)#29193,528(0.05%)#450
30.106038910,790(0.82%)#30193,528(0.05%)#475
31.100148810,790(0.82%)#31193,528(0.05%)#482
32.113758410,790(0.78%)#32193,528(0.04%)#508
33.129468410,790(0.78%)#33193,528(0.04%)#521
34.100347910,790(0.73%)#34193,528(0.04%)#570
35.112157710,790(0.71%)#35193,528(0.04%)#584
36.140687710,790(0.71%)#36193,528(0.04%)#589
37.105807210,790(0.67%)#37193,528(0.04%)#632
38.100247110,790(0.66%)#38193,528(0.04%)#639
39.100277010,790(0.65%)#39193,528(0.04%)#655
40.137607010,790(0.65%)#40193,528(0.04%)#659
41.112066910,790(0.64%)#41193,528(0.04%)#672
42.133506910,790(0.64%)#42193,528(0.04%)#683
43.108036810,790(0.63%)#43193,528(0.04%)#698
44.117146610,790(0.61%)#44193,528(0.03%)#722
45.140066410,790(0.59%)#45193,528(0.03%)#756
46.100036310,790(0.58%)#46193,528(0.03%)#760
47.130316210,790(0.57%)#47193,528(0.03%)#784
48.148505910,790(0.55%)#48193,528(0.03%)#817
49.118035910,790(0.55%)#49193,528(0.03%)#827
50.144255810,790(0.54%)#50193,528(0.03%)#863
51.130905710,790(0.53%)#51193,528(0.03%)#879
52.112115510,790(0.51%)#52193,528(0.03%)#908
53.112385510,790(0.51%)#53193,528(0.03%)#911
54.134135510,790(0.51%)#54193,528(0.03%)#927
55.109895410,790(0.50%)#55193,528(0.03%)#946
56.140725210,790(0.48%)#56193,528(0.03%)#997
57.100115110,790(0.47%)#57193,528(0.03%)#1,005
58.137905110,790(0.47%)#58193,528(0.03%)#1,017
59.100294910,790(0.45%)#59193,528(0.03%)#1,047
60.142254810,790(0.44%)#60193,528(0.02%)#1,075
61.100054810,790(0.44%)#61193,528(0.02%)#1,086
62.112164710,790(0.44%)#62193,528(0.02%)#1,090
63.105764710,790(0.44%)#63193,528(0.02%)#1,115
64.115614610,790(0.43%)#64193,528(0.02%)#1,123
65.111054510,790(0.42%)#65193,528(0.02%)#1,143
66.117464410,790(0.41%)#66193,528(0.02%)#1,165
67.105834410,790(0.41%)#67193,528(0.02%)#1,171
68.114184410,790(0.41%)#68193,528(0.02%)#1,174
69.112194310,790(0.40%)#69193,528(0.02%)#1,193
70.142184210,790(0.39%)#70193,528(0.02%)#1,246
71.108054110,790(0.38%)#71193,528(0.02%)#1,275
72.125904010,790(0.37%)#72193,528(0.02%)#1,298
73.100364010,790(0.37%)#73193,528(0.02%)#1,302
74.133394010,790(0.37%)#74193,528(0.02%)#1,320
75.146243910,790(0.36%)#75193,528(0.02%)#1,338
76.141273910,790(0.36%)#76193,528(0.02%)#1,343
77.117623910,790(0.36%)#77193,528(0.02%)#1,348
78.146183810,790(0.35%)#78193,528(0.02%)#1,388
79.146203810,790(0.35%)#79193,528(0.02%)#1,390
80.138203710,790(0.34%)#80193,528(0.02%)#1,421
81.121433710,790(0.34%)#81193,528(0.02%)#1,427
82.113703510,790(0.32%)#82193,528(0.02%)#1,497
83.106053410,790(0.32%)#83193,528(0.02%)#1,548
84.103123310,790(0.31%)#84193,528(0.02%)#1,563
85.100073310,790(0.31%)#85193,528(0.02%)#1,614
86.114353210,790(0.30%)#86193,528(0.02%)#1,619
87.105433210,790(0.30%)#87193,528(0.02%)#1,635
88.119683110,790(0.29%)#88193,528(0.02%)#1,680
89.142263010,790(0.28%)#89193,528(0.02%)#1,716
90.142233010,790(0.28%)#90193,528(0.02%)#1,729
91.119503010,790(0.28%)#91193,528(0.02%)#1,735
92.146193010,790(0.28%)#92193,528(0.02%)#1,737
93.115143010,790(0.28%)#93193,528(0.02%)#1,743
94.100192910,790(0.27%)#94193,528(0.01%)#1,758
95.117312910,790(0.27%)#95193,528(0.01%)#1,765
96.112092810,790(0.26%)#96193,528(0.01%)#1,793
97.142242810,790(0.26%)#97193,528(0.01%)#1,810
98.102802810,790(0.26%)#98193,528(0.01%)#1,838
99.112302710,790(0.25%)#99193,528(0.01%)#1,846
100.115702710,790(0.25%)#100193,528(0.01%)#1,865
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