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By Race
AsianBlack/African AmericanHawaiianHispanic or LatinoNative/AlaskanWhite/Caucasian
By Ancestry
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
By Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
By Social Index
By Income
Per Capita IncomeFamily IncomeHousehold IncomeEarningsEarnings | MalesEarnings | FemalesHousehold Income | Age < 25Household Income | Age 25-44Household Income | Age 45-64Household Income | Age > 65Wage/Income Gap
By Poverty
PovertyPoverty | FamiliesPoverty | MalesPoverty | FemalesPoverty | Females 18-24Poverty | Females 25-34Poverty | Children < 5Poverty | Children < 16Poverty | Boys < 16Poverty | Girls < 16Poverty | Single MalesPoverty | Single FemalesPoverty | Single FathersPoverty | Single MothersPoverty | Married-Couple FamiliesPoverty | Seniors > 65Poverty | Seniors > 75Public Income | Food Stamps
By Unemployment
UnemploymentUnemployment | MalesUnemployment | FemalesUnemployment | Youth < 25Unemployment | 16 to 19 yearsUnemployment | 20 to 24 yearsUnemployment | 25 to 29 yearsUnemployment | 30 to 34 yearsUnemployment | 35 to 44 yearsUnemployment | 45 to 54 yearsUnemployment | 55 to 59 yearsUnemployment | 60 to 64 yearsUnemployment | 65 to 74 yearsUnemployment | Seniors > 65Unemployment | Seniors > 75Unemployment | Women w/ Children < 6Unemployment | Women w/ Children 6 to 17Unemployment | Women w/ Children < 18
By Labor Participation
In Labor Force | Age > 16In Labor Force | Age 20-64In Labor Force | Age 16-19In Labor Force | Age 20-24In Labor Force | Age 25-29In Labor Force | Age 30-34In Labor Force | Age 35-44In Labor Force | Age 45-54
By Family Structure
Family HouseholdsFamily Households with ChildrenMarried-couple HouseholdsAverage Family SizeSingle Father HouseholdsSingle Mother HouseholdsCurrently MarriedDivorced or SeparatedBirths to Unmarried Women
By Vehicle Availability
No Vehicles Available1+ Vehicles Available2+ Vehicles Available3+ Vehicles Available4+ Vehicles Available
By Education Level
No SchoolingNursery SchoolKindergarten1st Grade2nd Grade3rd Grade4th Grade5th Grade6th Grade7th Grade8th Grade9th Grade10th Grade11th Grade12th Grade, No DiplomaHigh School DiplomaGED/EquivalencyCollege, Under 1 yearCollege, 1 year or moreAssociate's DegreeBachelor's DegreeMaster's DegreeProfessional DegreeDoctorate Degree
By Disability
DisabilityDisability | MalesDisability | FemalesDisability | Age Under 5Disability | Age 5 to 17Disability | Age 18 to 34Disability | Age 35 to 64Disability | Age 65 to 74Disability | Age Over 75Vision DisabilityHearing DisabilityCognitive DisabilityAmbulatory DisabilitySelf-Care Disability
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 SizeMost Single FathersMost Single MothersFewest Single FathersFewest Single MothersSmallest Family SizeSmallest Household Size
Female Fertility
Highest Birth Rate | All WomenHighest 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 35+Lowest Birth Rate | Below PovertyLowest Birth Rate | Public IncomeLowest Birth Rate | In Labor Force
Female Fertility (Unmarried)
Highest Illegitimacy | All WomenLowest Illegitimacy | All Women
Race (Community Size)
AsianBlack / African AmericanHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHispanic or LatinoNative / AlaskanWhite / Caucasian
Ancestry (Community Size)
AfricanAmericanArabArmenianAustrianBelgianBhutaneseBrazilianBritishBurmeseCanadianCentral AmericanCherokeeColombianCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEnglishEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGreekGuatemalanHungarianIndian (Asian)IranianIraqiIrishItalianJapaneseJordanianKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMalteseMexicanMoroccanNavajoNigerianNorthern EuropeanNorwegianPalestinianPolishPortuguesePuerto RicanRussianScandinavianScotch-IrishScottishSerbianSierra LeoneanSlovakSloveneSouth AmericanSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTurkishUkrainianVenezuelanVietnameseWelsh
Ancestry (Percentage)
AfricanAmericanArabArmenianAustrianBelgianBhutaneseBrazilianBritishBurmeseCanadianCentral AmericanCherokeeColombianCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEnglishEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGreekGuatemalanHungarianIndian (Asian)IranianIraqiIrishItalianJapaneseJordanianKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMalteseMexicanMoroccanNavajoNigerianNorthern EuropeanNorwegianPalestinianPolishPortuguesePuerto RicanRussianScandinavianScotch-IrishScottishSerbianSierra LeoneanSlovakSloveneSouth AmericanSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTurkishUkrainianVenezuelanVietnameseWelsh
Immigrant Origin (Total)
AfricaAsiaAustraliaBangladeshBrazilCanadaCaribbeanCentral AmericaChinaColombiaCzechoslovakiaEastern AfricaEastern AsiaEastern EuropeEgyptEnglandEuropeFranceGermanyGreeceHong KongIndiaIranIraqJapanJordanKoreaLatin AmericaLebanonMexicoMoroccoNorthern AfricaNorthern EuropeOceaniaPakistanPhilippinesPolandRussiaSierra LeoneSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSyriaTaiwanThailandTurkeyVietnamWestern AfricaWestern AsiaWestern Europe
Immigrant Origin (Percentage)
AfricaAsiaAustraliaBangladeshBrazilCanadaCaribbeanCentral AmericaChinaColombiaCzechoslovakiaEastern AfricaEastern AsiaEastern EuropeEgyptEnglandEuropeFranceGermanyGreeceHong KongIndiaIranIraqJapanJordanKoreaLatin AmericaLebanonMexicoMoroccoNorthern AfricaNorthern EuropeOceaniaPakistanPhilippinesPolandRussiaSierra LeoneSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSyriaTaiwanThailandTurkeyVietnamWestern AfricaWestern AsiaWestern Europe
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 MotherLowest Family PovertyLowest Poverty | Married CoupleLowest Poverty | Single MaleLowest Poverty | Single FemaleLowest 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 & MediaFirefighting & 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 ServicesArts, 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 Employees
Commute Time
Longest CommuteLongest Commute | MaleLongest Commute | FemaleShortest CommuteShortest Commute | MaleShortest Commute | Female
Commute Means
Drive | AloneDrive | CarpoolWalk 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-less HeatingHouseholds without a CarsHouseholds with 1 or more CarsHouseholds with 2 or more CarsHouseholds with 3 or more Cars

Zip Codes with the Highest Percentage of Burmese Population in Dublin, OH

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Burmese
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
Ancestry (Percentage)
Immigrant Origin (Total)
Immigrant Origin (Percentage)
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Dublin
United States
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Comparison Subject

Map of Zip Codes with the Highest Percentage of Burmese Population in Dublin

0.77%
1.52%

Zip Codes with the Highest Percentage of Burmese Population in Dublin, OH

Zip Code Burmese vs State vs National
1.430161.52%0.22%(+1.29)#140.60%(+0.920)#1,485
2.430170.77%0.22%(+0.546)#480.60%(+0.172)#3,258

Common Questions

What are the Top Zip Codes with the Highest Percentage of Burmese Population in Dublin, OH?
Top Zip Codes with the Highest Percentage of Burmese Population in Dublin, OH are:
#1
1.52%
#2
0.77%
What zip code has the Highest Percentage of Burmese Population in Dublin, OH?
43016 has the Highest Percentage of Burmese Population in Dublin, OH with 1.52%.
What is the Percentage of Burmese Population in Dublin, OH?
Percentage of Burmese Population in Dublin is 1.74%.
What is the Percentage of Burmese Population in Ohio?
Percentage of Burmese Population in Ohio is 0.22%.
What is the Percentage of Burmese Population in the United States?
Percentage of Burmese Population in the United States is 0.60%.
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