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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 Northern European Community in New York

On this page

Common Questions

What are the Top 10 Zip Codes with the Largest Northern European Community in New York?
Top 10 Zip Codes with the Largest Northern European Community in New York are:
#1
318
#2
300
#3
298
#4
281
#5
268
#6
257
#7
255
#8
244
#9
243
#10
234
What zip code has the Largest Northern European Community in New York?
11211 has the Largest Northern European Community in New York with 318.
What is the Total Northern European Population in the State of New York?
Total Northern European Population in New York is 18,171.
What is the Total Northern European Population in the United States?
Total Northern European Population in the United States is 486,590.

Map of Zip Codes with the Largest Northern European Community in New York

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Zip Codes with the Largest Northern European Community in New York Map

Zip Codes with the Largest Northern European Community in New York

Zip Codes with the Largest Northern European Community in New York Chart
Zip Code Northern European vs State vs National
1.1121131818,171(1.75%)#1486,590(0.07%)#96
2.1002330018,171(1.65%)#2486,590(0.06%)#120
3.1057929818,171(1.64%)#3486,590(0.06%)#122
4.1485028118,171(1.55%)#4486,590(0.06%)#150
5.1001326818,171(1.47%)#5486,590(0.06%)#176
6.1120125718,171(1.41%)#6486,590(0.05%)#190
7.1002825518,171(1.40%)#7486,590(0.05%)#193
8.1000924418,171(1.34%)#8486,590(0.05%)#210
9.1176424318,171(1.34%)#9486,590(0.05%)#211
10.1121523418,171(1.29%)#10486,590(0.05%)#231
11.1002420318,171(1.12%)#11486,590(0.04%)#336
12.1408620118,171(1.11%)#12486,590(0.04%)#353
13.1360118218,171(1.00%)#13486,590(0.04%)#445
14.1273717218,171(0.95%)#14486,590(0.04%)#503
15.1123816818,171(0.92%)#15486,590(0.03%)#527
16.1001116418,171(0.90%)#16486,590(0.03%)#550
17.1121815118,171(0.83%)#17486,590(0.03%)#648
18.1240115118,171(0.83%)#18486,590(0.03%)#652
19.1218014618,171(0.80%)#19486,590(0.03%)#701
20.1320614318,171(0.79%)#20486,590(0.03%)#735
21.1094013818,171(0.76%)#21486,590(0.03%)#779
22.1122113718,171(0.75%)#22486,590(0.03%)#787
23.1304513518,171(0.74%)#23486,590(0.03%)#813
24.1453413318,171(0.73%)#24486,590(0.03%)#836
25.1220813218,171(0.73%)#25486,590(0.03%)#850
26.1421713118,171(0.72%)#26486,590(0.03%)#860
27.1002512418,171(0.68%)#27486,590(0.03%)#934
28.1002212418,171(0.68%)#28486,590(0.03%)#942
29.1123112218,171(0.67%)#29486,590(0.03%)#959
30.1260311818,171(0.65%)#30486,590(0.02%)#1,022
31.1003611818,171(0.65%)#31486,590(0.02%)#1,027
32.1458011718,171(0.64%)#32486,590(0.02%)#1,033
33.1230411718,171(0.64%)#33486,590(0.02%)#1,041
34.1196511518,171(0.63%)#34486,590(0.02%)#1,070
35.1173311118,171(0.61%)#35486,590(0.02%)#1,124
36.1000211018,171(0.61%)#36486,590(0.02%)#1,126
37.1058310918,171(0.60%)#37486,590(0.02%)#1,145
38.1002910818,171(0.59%)#38486,590(0.02%)#1,162
39.1218210618,171(0.58%)#39486,590(0.02%)#1,203
40.1110410418,171(0.57%)#40486,590(0.02%)#1,233
41.1120910018,171(0.55%)#41486,590(0.02%)#1,290
42.128669818,171(0.54%)#42486,590(0.02%)#1,343
43.115799818,171(0.54%)#43486,590(0.02%)#1,352
44.100269718,171(0.53%)#44486,590(0.02%)#1,360
45.100349518,171(0.52%)#45486,590(0.02%)#1,405
46.117689518,171(0.52%)#46486,590(0.02%)#1,414
47.100168818,171(0.48%)#47486,590(0.02%)#1,562
48.130278718,171(0.48%)#48486,590(0.02%)#1,582
49.144248618,171(0.47%)#49486,590(0.02%)#1,607
50.144508518,171(0.47%)#50486,590(0.02%)#1,623
51.105808518,171(0.47%)#51486,590(0.02%)#1,641
52.100338018,171(0.44%)#52486,590(0.02%)#1,732
53.125088018,171(0.44%)#53486,590(0.02%)#1,757
54.109288018,171(0.44%)#54486,590(0.02%)#1,769
55.105907818,171(0.43%)#55486,590(0.02%)#1,824
56.112227718,171(0.42%)#56486,590(0.02%)#1,835
57.144167718,171(0.42%)#57486,590(0.02%)#1,860
58.101287618,171(0.42%)#58486,590(0.02%)#1,862
59.100657518,171(0.41%)#59486,590(0.02%)#1,905
60.145647418,171(0.41%)#60486,590(0.02%)#1,942
61.117437318,171(0.40%)#61486,590(0.02%)#1,954
62.115307318,171(0.40%)#62486,590(0.02%)#1,962
63.117727218,171(0.40%)#63486,590(0.01%)#1,984
64.142267118,171(0.39%)#64486,590(0.01%)#2,024
65.105207118,171(0.39%)#65486,590(0.01%)#2,037
66.112177018,171(0.39%)#66486,590(0.01%)#2,050
67.105707018,171(0.39%)#67486,590(0.01%)#2,071
68.129016918,171(0.38%)#68486,590(0.01%)#2,088
69.100036818,171(0.37%)#69486,590(0.01%)#2,116
70.123026718,171(0.37%)#70486,590(0.01%)#2,163
71.131046718,171(0.37%)#71486,590(0.01%)#2,173
72.105496718,171(0.37%)#72486,590(0.01%)#2,176
73.124776618,171(0.36%)#73486,590(0.01%)#2,212
74.105106618,171(0.36%)#74486,590(0.01%)#2,215
75.112256518,171(0.36%)#75486,590(0.01%)#2,226
76.137606318,171(0.35%)#76486,590(0.01%)#2,315
77.148456318,171(0.35%)#77486,590(0.01%)#2,348
78.145226318,171(0.35%)#78486,590(0.01%)#2,360
79.109606118,171(0.34%)#79486,590(0.01%)#2,438
80.124106018,171(0.33%)#80486,590(0.01%)#2,482
81.109545918,171(0.32%)#81486,590(0.01%)#2,499
82.113725818,171(0.32%)#82486,590(0.01%)#2,521
83.125505818,171(0.32%)#83486,590(0.01%)#2,523
84.110505818,171(0.32%)#84486,590(0.01%)#2,535
85.117715818,171(0.32%)#85486,590(0.01%)#2,558
86.124845818,171(0.32%)#86486,590(0.01%)#2,563
87.127345818,171(0.32%)#87486,590(0.01%)#2,565
88.107015718,171(0.31%)#88486,590(0.01%)#2,568
89.125285618,171(0.31%)#89486,590(0.01%)#2,647
90.127015618,171(0.31%)#90486,590(0.01%)#2,650
91.103095518,171(0.30%)#91486,590(0.01%)#2,667
92.109905418,171(0.30%)#92486,590(0.01%)#2,733
93.140095418,171(0.30%)#93486,590(0.01%)#2,753
94.105625318,171(0.29%)#94486,590(0.01%)#2,771
95.142135318,171(0.29%)#95486,590(0.01%)#2,776
96.136695318,171(0.29%)#96486,590(0.01%)#2,782
97.115605318,171(0.29%)#97486,590(0.01%)#2,790
98.131265218,171(0.29%)#98486,590(0.01%)#2,803
99.130905218,171(0.29%)#99486,590(0.01%)#2,813
100.119375118,171(0.28%)#100486,590(0.01%)#2,877
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