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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 Lithuanian 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 Lithuanian Community in New York?
Top 10 Zip Codes with the Largest Lithuanian Community in New York are:
#1
510
#2
474
#3
430
#4
380
#5
370
#6
353
#7
352
#8
350
#9
333
#10
326
What zip code has the Largest Lithuanian Community in New York?
11215 has the Largest Lithuanian Community in New York with 510.
What is the Total Lithuanian Population in the State of New York?
Total Lithuanian Population in New York is 41,573.
What is the Total Lithuanian Population in the United States?
Total Lithuanian Population in the United States is 622,561.

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

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Zip Codes with the Largest Lithuanian Community in New York Map

Zip Codes with the Largest Lithuanian Community in New York

Zip Codes with the Largest Lithuanian Community in New York Chart
Zip Code Lithuanian vs State vs National
1.1121551041,573(1.23%)#1622,561(0.08%)#62
2.1120147441,573(1.14%)#2622,561(0.08%)#78
3.1002843041,573(1.03%)#3622,561(0.07%)#98
4.1001138041,573(0.91%)#4622,561(0.06%)#131
5.1201037041,573(0.89%)#5622,561(0.06%)#137
6.1002435341,573(0.85%)#6622,561(0.06%)#154
7.1174335241,573(0.85%)#7622,561(0.06%)#156
8.1002335041,573(0.84%)#8622,561(0.06%)#158
9.1123833341,573(0.80%)#9622,561(0.05%)#170
10.1012832641,573(0.78%)#10622,561(0.05%)#182
11.1095232441,573(0.78%)#11622,561(0.05%)#183
12.1138531541,573(0.76%)#12622,561(0.05%)#192
13.1175831141,573(0.75%)#13622,561(0.05%)#199
14.1453430941,573(0.74%)#14622,561(0.05%)#201
15.1123027341,573(0.66%)#15622,561(0.04%)#255
16.1001427341,573(0.66%)#16622,561(0.04%)#260
17.1174625841,573(0.62%)#17622,561(0.04%)#305
18.1002525141,573(0.60%)#18622,561(0.04%)#325
19.1123524441,573(0.59%)#19622,561(0.04%)#346
20.1490423641,573(0.57%)#20622,561(0.04%)#378
21.1485023541,573(0.57%)#21622,561(0.04%)#379
22.1097722841,573(0.55%)#22622,561(0.04%)#402
23.1123122541,573(0.54%)#23622,561(0.04%)#416
24.1121122341,573(0.54%)#24622,561(0.04%)#422
25.1180321841,573(0.52%)#25622,561(0.04%)#445
26.1121820641,573(0.50%)#26622,561(0.03%)#511
27.1175719741,573(0.47%)#27622,561(0.03%)#566
28.1230919641,573(0.47%)#28622,561(0.03%)#578
29.1120919541,573(0.47%)#29622,561(0.03%)#582
30.1136719541,573(0.47%)#30622,561(0.03%)#584
31.1121319341,573(0.46%)#31622,561(0.03%)#592
32.1122119241,573(0.46%)#32622,561(0.03%)#601
33.1002219241,573(0.46%)#33622,561(0.03%)#603
34.1176819041,573(0.46%)#34622,561(0.03%)#612
35.1137718941,573(0.45%)#35622,561(0.03%)#614
36.1153018941,573(0.45%)#36622,561(0.03%)#618
37.1230218941,573(0.45%)#37622,561(0.03%)#619
38.1103018841,573(0.45%)#38622,561(0.03%)#624
39.1195018841,573(0.45%)#39622,561(0.03%)#625
40.1283118541,573(0.45%)#40622,561(0.03%)#650
41.1200918541,573(0.45%)#41622,561(0.03%)#651
42.1422118341,573(0.44%)#42622,561(0.03%)#659
43.1190118041,573(0.43%)#43622,561(0.03%)#678
44.1001617841,573(0.43%)#44622,561(0.03%)#694
45.1178717841,573(0.43%)#45622,561(0.03%)#696
46.1142117741,573(0.43%)#46622,561(0.03%)#701
47.1172517341,573(0.42%)#47622,561(0.03%)#729
48.1060517341,573(0.42%)#48622,561(0.03%)#732
49.1170617241,573(0.41%)#49622,561(0.03%)#734
50.1000316941,573(0.41%)#50622,561(0.03%)#752
51.1159816941,573(0.41%)#51622,561(0.03%)#756
52.1110416741,573(0.40%)#52622,561(0.03%)#766
53.1001216541,573(0.40%)#53622,561(0.03%)#785
54.1260116341,573(0.39%)#54622,561(0.03%)#799
55.1105016041,573(0.38%)#55622,561(0.03%)#821
56.1214415441,573(0.37%)#56622,561(0.02%)#883
57.1177215341,573(0.37%)#57622,561(0.02%)#889
58.1386515241,573(0.37%)#58622,561(0.02%)#906
59.1346015041,573(0.36%)#59622,561(0.02%)#922
60.1156114841,573(0.36%)#60622,561(0.02%)#941
61.1156614741,573(0.35%)#61622,561(0.02%)#959
62.1176214741,573(0.35%)#62622,561(0.02%)#962
63.1172014541,573(0.35%)#63622,561(0.02%)#981
64.1121414441,573(0.35%)#64622,561(0.02%)#987
65.1123414341,573(0.34%)#65622,561(0.02%)#997
66.1137814341,573(0.34%)#66622,561(0.02%)#1,001
67.1385014341,573(0.34%)#67622,561(0.02%)#1,008
68.1155414241,573(0.34%)#68622,561(0.02%)#1,015
69.1122914041,573(0.34%)#69622,561(0.02%)#1,036
70.1137514041,573(0.34%)#70622,561(0.02%)#1,037
71.1110513941,573(0.33%)#71622,561(0.02%)#1,051
72.1179313841,573(0.33%)#72622,561(0.02%)#1,059
73.1090113641,573(0.33%)#73622,561(0.02%)#1,093
74.1000213441,573(0.32%)#74622,561(0.02%)#1,114
75.1177913441,573(0.32%)#75622,561(0.02%)#1,118
76.1170213441,573(0.32%)#76622,561(0.02%)#1,128
77.1051013441,573(0.32%)#77622,561(0.02%)#1,129
78.1110213341,573(0.32%)#78622,561(0.02%)#1,135
79.1458013241,573(0.32%)#79622,561(0.02%)#1,142
80.1376013141,573(0.32%)#80622,561(0.02%)#1,162
81.1110613041,573(0.31%)#81622,561(0.02%)#1,184
82.1000912941,573(0.31%)#82622,561(0.02%)#1,198
83.1100112941,573(0.31%)#83622,561(0.02%)#1,205
84.1143212841,573(0.31%)#84622,561(0.02%)#1,212
85.1136412541,573(0.30%)#85622,561(0.02%)#1,254
86.1390112541,573(0.30%)#86622,561(0.02%)#1,264
87.1390312441,573(0.30%)#87622,561(0.02%)#1,276
88.1058012141,573(0.29%)#88622,561(0.02%)#1,323
89.1270112141,573(0.29%)#89622,561(0.02%)#1,331
90.1487112141,573(0.29%)#90622,561(0.02%)#1,333
91.1169111941,573(0.29%)#91622,561(0.02%)#1,352
92.1195211941,573(0.29%)#92622,561(0.02%)#1,372
93.1046311541,573(0.28%)#93622,561(0.02%)#1,416
94.1462211541,573(0.28%)#94622,561(0.02%)#1,432
95.1120511441,573(0.27%)#95622,561(0.02%)#1,436
96.1002111441,573(0.27%)#96622,561(0.02%)#1,438
97.1280411341,573(0.27%)#97622,561(0.02%)#1,460
98.1462511241,573(0.27%)#98622,561(0.02%)#1,482
99.1141811141,573(0.27%)#99622,561(0.02%)#1,494
100.1209010841,573(0.26%)#100622,561(0.02%)#1,559
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