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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 Yugoslavian Community in New York

On this page

Common Questions

What are the Top 10 Zip Codes with the Largest Yugoslavian Community in New York?
Top 10 Zip Codes with the Largest Yugoslavian Community in New York are:
#1
3,508
#2
714
#3
422
#4
392
#5
372
#6
354
#7
337
#8
276
#9
269
#10
259
What zip code has the Largest Yugoslavian Community in New York?
13501 has the Largest Yugoslavian Community in New York with 3,508.
What is the Total Yugoslavian Population in the State of New York?
Total Yugoslavian Population in New York is 19,314.
What is the Total Yugoslavian Population in the United States?
Total Yugoslavian Population in the United States is 231,245.

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

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

Zip Codes with the Largest Yugoslavian Community in New York

Zip Codes with the Largest Yugoslavian Community in New York Chart
Zip Code Yugoslavian vs State vs National
1.135013,50819,314(18.16%)#1231,245(1.52%)#1
2.1350271419,314(3.70%)#2231,245(0.31%)#21
3.1137542219,314(2.18%)#3231,245(0.18%)#55
4.1150739219,314(2.03%)#4231,245(0.17%)#58
5.1138537219,314(1.93%)#5231,245(0.16%)#62
6.1110335419,314(1.83%)#6231,245(0.15%)#68
7.1155833719,314(1.74%)#7231,245(0.15%)#78
8.1460927619,314(1.43%)#8231,245(0.12%)#100
9.1305726919,314(1.39%)#9231,245(0.12%)#110
10.1308825919,314(1.34%)#10231,245(0.11%)#118
11.1220325219,314(1.30%)#11231,245(0.11%)#121
12.1334024119,314(1.25%)#12231,245(0.10%)#130
13.1245822819,314(1.18%)#13231,245(0.10%)#140
14.1376022419,314(1.16%)#14231,245(0.10%)#144
15.1094022119,314(1.14%)#15231,245(0.10%)#148
16.1135519719,314(1.02%)#16231,245(0.09%)#172
17.1120919519,314(1.01%)#17231,245(0.08%)#178
18.1294619319,314(1.00%)#18231,245(0.08%)#184
19.1137718619,314(0.96%)#19231,245(0.08%)#194
20.1137016019,314(0.83%)#20231,245(0.07%)#235
21.1031415819,314(0.82%)#21231,245(0.07%)#237
22.1120415019,314(0.78%)#22231,245(0.06%)#258
23.1379014819,314(0.77%)#23231,245(0.06%)#266
24.1122314719,314(0.76%)#24231,245(0.06%)#267
25.1180314719,314(0.76%)#25231,245(0.06%)#270
26.1137214419,314(0.75%)#26231,245(0.06%)#278
27.1390114019,314(0.72%)#27231,245(0.06%)#289
28.1340313719,314(0.71%)#28231,245(0.06%)#295
29.1211013619,314(0.70%)#29231,245(0.06%)#299
30.1407513519,314(0.70%)#30231,245(0.06%)#302
31.1461613019,314(0.67%)#31231,245(0.06%)#323
32.1045312819,314(0.66%)#32231,245(0.06%)#331
33.1390412619,314(0.65%)#33231,245(0.05%)#342
34.1046712419,314(0.64%)#34231,245(0.05%)#348
35.1309011819,314(0.61%)#35231,245(0.05%)#364
36.1001011719,314(0.61%)#36231,245(0.05%)#367
37.1421011719,314(0.61%)#37231,245(0.05%)#369
38.1178710619,314(0.55%)#38231,245(0.05%)#422
39.1320310519,314(0.54%)#39231,245(0.05%)#431
40.1421910419,314(0.54%)#40231,245(0.04%)#436
41.1421810319,314(0.53%)#41231,245(0.04%)#444
42.1390310019,314(0.52%)#42231,245(0.04%)#460
43.1462510019,314(0.52%)#43231,245(0.04%)#461
44.104699419,314(0.49%)#44231,245(0.04%)#496
45.113619419,314(0.49%)#45231,245(0.04%)#498
46.132119219,314(0.48%)#46231,245(0.04%)#518
47.110019119,314(0.47%)#47231,245(0.04%)#524
48.145808819,314(0.46%)#48231,245(0.04%)#538
49.144508419,314(0.43%)#49231,245(0.04%)#571
50.112188319,314(0.43%)#50231,245(0.04%)#578
51.111068219,314(0.42%)#51231,245(0.04%)#590
52.115428219,314(0.42%)#52231,245(0.04%)#591
53.113578119,314(0.42%)#53231,245(0.04%)#598
54.139057319,314(0.38%)#54231,245(0.03%)#694
55.115017119,314(0.37%)#55231,245(0.03%)#720
56.133507119,314(0.37%)#56231,245(0.03%)#724
57.148146919,314(0.36%)#57231,245(0.03%)#750
58.114146519,314(0.34%)#58231,245(0.03%)#795
59.112166219,314(0.32%)#59231,245(0.03%)#832
60.114216119,314(0.32%)#60231,245(0.03%)#848
61.115526019,314(0.31%)#61231,245(0.03%)#868
62.146176019,314(0.31%)#62231,245(0.03%)#869
63.130786019,314(0.31%)#63231,245(0.03%)#875
64.128665919,314(0.31%)#64231,245(0.03%)#881
65.128015919,314(0.31%)#65231,245(0.03%)#891
66.128285919,314(0.31%)#66231,245(0.03%)#892
67.103125819,314(0.30%)#67231,245(0.03%)#895
68.141505819,314(0.30%)#68231,245(0.03%)#900
69.104625719,314(0.30%)#69231,245(0.02%)#912
70.117575719,314(0.30%)#70231,245(0.02%)#915
71.113645719,314(0.30%)#71231,245(0.02%)#917
72.146235719,314(0.30%)#72231,245(0.02%)#926
73.112205619,314(0.29%)#73231,245(0.02%)#930
74.101285619,314(0.29%)#74231,245(0.02%)#931
75.113785519,314(0.28%)#75231,245(0.02%)#958
76.140705519,314(0.28%)#76231,245(0.02%)#975
77.100225419,314(0.28%)#77231,245(0.02%)#983
78.105145419,314(0.28%)#78231,245(0.02%)#990
79.112285319,314(0.27%)#79231,245(0.02%)#998
80.146245319,314(0.27%)#80231,245(0.02%)#1,000
81.134165319,314(0.27%)#81231,245(0.02%)#1,014
82.117465219,314(0.27%)#82231,245(0.02%)#1,017
83.119465219,314(0.27%)#83231,245(0.02%)#1,033
84.148505119,314(0.26%)#84231,245(0.02%)#1,039
85.125905119,314(0.26%)#85231,245(0.02%)#1,051
86.107045119,314(0.26%)#86231,245(0.02%)#1,053
87.145265119,314(0.26%)#87231,245(0.02%)#1,060
88.112305019,314(0.26%)#88231,245(0.02%)#1,062
89.104654919,314(0.25%)#89231,245(0.02%)#1,090
90.112154819,314(0.25%)#90231,245(0.02%)#1,107
91.103054719,314(0.24%)#91231,245(0.02%)#1,142
92.114154619,314(0.24%)#92231,245(0.02%)#1,181
93.112294519,314(0.23%)#93231,245(0.02%)#1,193
94.100114419,314(0.23%)#94231,245(0.02%)#1,228
95.117544419,314(0.23%)#95231,245(0.02%)#1,253
96.120274419,314(0.23%)#96231,245(0.02%)#1,261
97.112014319,314(0.22%)#97231,245(0.02%)#1,263
98.117064319,314(0.22%)#98231,245(0.02%)#1,264
99.114324319,314(0.22%)#99231,245(0.02%)#1,265
100.110504319,314(0.22%)#100231,245(0.02%)#1,275
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