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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 AmericanHawaian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHawaian / 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
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 AssistanceInformationManufacturingMining, 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
Nursery / 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 Highest Percentage of Cuban Population in Ohio

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Cuban Population in Ohio?
Top 10 Zip Codes with the Highest Percentage of Cuban Population in Ohio are:
#1
(4.3%)
#2
45841,
(2.9%)
#3
45743,
(2.3%)
#4
43565,
(1.9%)
#5
45208,
(1.8%)
#6
45354,
(1.7%)
#7
43451,
(1.5%)
#8
45849,
(1.4%)
#9
45249,
(1.4%)
#10
45238,
(1.3%)
What is the Percentage of Cuban Population in the State of Ohio?
Percentage of Cuban Population in Ohio is 0.1%.
What is the Percentage of Cuban Population in the United States?
Percentage of Cuban Population in the United States is 0.7%.

Percentage of Cuban Population by Zip Code in Ohio

Zip CodeCubanvs. Statevs. National
1.45390, Ohio4.3%0.1%(+4.25)#10.7%(+3.62)#274
2.45841, 2.9%0.1%(+2.79)#20.7%(+2.17)#474
3.45743, 2.3%0.1%(+2.21)#30.7%(+1.58)#634
4.43565, 1.9%0.1%(+1.80)#40.7%(+1.18)#782
5.45208, 1.8%0.1%(+1.69)#50.7%(+1.06)#846
6.45354, 1.7%0.1%(+1.58)#60.7%(+0.96)#903
7.43451, 1.5%0.1%(+1.38)#70.7%(+0.75)#1,037
8.45849, 1.4%0.1%(+1.32)#80.7%(+0.69)#1,090
9.45249, 1.4%0.1%(+1.26)#90.7%(+0.63)#1,136
10.45238, 1.3%0.1%(+1.24)#100.7%(+0.61)#1,169
11.44053, 1.3%0.1%(+1.19)#110.7%(+0.57)#1,202
12.45337, 1.1%0.1%(+1.03)#120.7%(+0.40)#1,437
13.43788, 1.1%0.1%(+1.02)#130.7%(+0.39)#1,448
14.45232, 1.1%0.1%(+0.98)#140.7%(+0.36)#1,509
15.43528, 1.1%0.1%(+0.98)#150.7%(+0.35)#1,518
16.45015, 1.0%0.1%(+0.93)#160.7%(+0.30)#1,606
17.43963, 1.0%0.1%(+0.88)#170.7%(+0.25)#1,686
18.45050, 0.8%0.1%(+0.74)#180.7%(+0.11)#1,995
19.44040, 0.8%0.1%(+0.69)#190.7%(+0.06)#2,133
20.43542, 0.7%0.1%(+0.61)#200.7%(-0.02)#2,390
21.45384, 0.7%0.1%(+0.59)#210.7%(-0.04)#2,446
22.45812, 0.6%0.1%(+0.55)#220.7%(-0.08)#2,591
23.44507, 0.6%0.1%(+0.53)#230.7%(-0.09)#2,657
24.44254, 0.6%0.1%(+0.52)#240.7%(-0.10)#2,683
25.45320, 0.6%0.1%(+0.48)#250.7%(-0.15)#2,904
26.44503, 0.6%0.1%(+0.47)#260.7%(-0.16)#2,933
27.45245, 0.5%0.1%(+0.43)#270.7%(-0.19)#3,103
28.44514, 0.5%0.1%(+0.43)#280.7%(-0.20)#3,127
29.45431, 0.5%0.1%(+0.42)#290.7%(-0.20)#3,171
30.43566, 0.5%0.1%(+0.41)#300.7%(-0.21)#3,236
31.44287, 0.5%0.1%(+0.40)#310.7%(-0.23)#3,331
32.45243, 0.5%0.1%(+0.39)#320.7%(-0.23)#3,354
33.43616, 0.5%0.1%(+0.39)#330.7%(-0.24)#3,385
34.45123, 0.5%0.1%(+0.38)#340.7%(-0.25)#3,444
35.45410, 0.5%0.1%(+0.36)#350.7%(-0.27)#3,582
36.44135, 0.4%0.1%(+0.35)#360.7%(-0.27)#3,600
37.44663, 0.4%0.1%(+0.35)#370.7%(-0.27)#3,603
38.44144, 0.4%0.1%(+0.34)#380.7%(-0.29)#3,719
39.44240, 0.4%0.1%(+0.34)#390.7%(-0.29)#3,730
40.44102, 0.4%0.1%(+0.34)#400.7%(-0.29)#3,738
41.43227, 0.4%0.1%(+0.33)#410.7%(-0.30)#3,820
42.44509, 0.4%0.1%(+0.31)#420.7%(-0.31)#3,906
43.43605, 0.4%0.1%(+0.31)#430.7%(-0.31)#3,915
44.44425, 0.4%0.1%(+0.31)#440.7%(-0.32)#3,970
45.43338, 0.4%0.1%(+0.29)#450.7%(-0.33)#4,089
46.44136, 0.4%0.1%(+0.29)#460.7%(-0.34)#4,105
47.43812, 0.4%0.1%(+0.28)#470.7%(-0.35)#4,156
48.43054, 0.4%0.1%(+0.28)#480.7%(-0.35)#4,159
49.44502, 0.4%0.1%(+0.28)#490.7%(-0.35)#4,166
50.44705, 0.4%0.1%(+0.28)#500.7%(-0.35)#4,199
51.45430, 0.4%0.1%(+0.27)#510.7%(-0.36)#4,267
52.45236, 0.4%0.1%(+0.26)#520.7%(-0.37)#4,348
53.44484, 0.4%0.1%(+0.26)#530.7%(-0.37)#4,381
54.45750, 0.3%0.1%(+0.26)#540.7%(-0.37)#4,398
55.44107, 0.3%0.1%(+0.25)#550.7%(-0.38)#4,487
56.44109, 0.3%0.1%(+0.25)#560.7%(-0.38)#4,493
57.43110, 0.3%0.1%(+0.24)#570.7%(-0.39)#4,603
58.43466, 0.3%0.1%(+0.23)#580.7%(-0.39)#4,623
59.43160, 0.3%0.1%(+0.22)#590.7%(-0.40)#4,749
60.44306, 0.3%0.1%(+0.21)#600.7%(-0.41)#4,847
61.45801, 0.3%0.1%(+0.21)#610.7%(-0.42)#4,928
62.44512, 0.3%0.1%(+0.19)#620.7%(-0.43)#5,065
63.44303, 0.3%0.1%(+0.19)#630.7%(-0.44)#5,091
64.45233, 0.3%0.1%(+0.19)#640.7%(-0.44)#5,128
65.43512, 0.3%0.1%(+0.19)#650.7%(-0.44)#5,129
66.45241, 0.3%0.1%(+0.18)#660.7%(-0.44)#5,192
67.45240, 0.3%0.1%(+0.18)#670.7%(-0.45)#5,228
68.43220, 0.3%0.1%(+0.17)#680.7%(-0.46)#5,341
69.45693, 0.3%0.1%(+0.17)#690.7%(-0.46)#5,419
70.43410, 0.3%0.1%(+0.16)#700.7%(-0.46)#5,462
71.43215, 0.2%0.1%(+0.16)#710.7%(-0.47)#5,537
72.45697, 0.2%0.1%(+0.16)#720.7%(-0.47)#5,541
73.43210, 0.2%0.1%(+0.15)#730.7%(-0.47)#5,562
74.43608, 0.2%0.1%(+0.15)#740.7%(-0.47)#5,592
75.44882, 0.2%0.1%(+0.15)#750.7%(-0.48)#5,681
76.43440, 0.2%0.1%(+0.15)#760.7%(-0.48)#5,684
77.43518, 0.2%0.1%(+0.15)#770.7%(-0.48)#5,687
78.43062, 0.2%0.1%(+0.15)#780.7%(-0.48)#5,691
79.44875, 0.2%0.1%(+0.14)#790.7%(-0.49)#5,774
80.43201, 0.2%0.1%(+0.14)#800.7%(-0.49)#5,789
81.45067, 0.2%0.1%(+0.14)#810.7%(-0.49)#5,808
82.43211, 0.2%0.1%(+0.13)#820.7%(-0.49)#5,833
83.44055, 0.2%0.1%(+0.13)#830.7%(-0.49)#5,844
84.44140, 0.2%0.1%(+0.13)#840.7%(-0.49)#5,858
85.43302, 0.2%0.1%(+0.13)#850.7%(-0.50)#5,902
86.45150, 0.2%0.1%(+0.13)#860.7%(-0.50)#5,944
87.43202, 0.2%0.1%(+0.13)#870.7%(-0.50)#5,969
88.45014, 0.2%0.1%(+0.12)#880.7%(-0.51)#6,081
89.45324, 0.2%0.1%(+0.12)#890.7%(-0.51)#6,082
90.45230, 0.2%0.1%(+0.12)#900.7%(-0.51)#6,084
91.43521, 0.2%0.1%(+0.11)#910.7%(-0.51)#6,165
92.43022, 0.2%0.1%(+0.11)#920.7%(-0.52)#6,221
93.44041, 0.2%0.1%(+0.11)#930.7%(-0.52)#6,237
94.43153, 0.2%0.1%(+0.11)#940.7%(-0.52)#6,254
95.45506, 0.2%0.1%(+0.11)#950.7%(-0.52)#6,266
96.45504, 0.2%0.1%(+0.10)#960.7%(-0.52)#6,308
97.45701, 0.2%0.1%(+0.10)#970.7%(-0.52)#6,314
98.44707, 0.2%0.1%(+0.10)#980.7%(-0.52)#6,330
99.44119, 0.2%0.1%(+0.10)#990.7%(-0.53)#6,336
100.44122, 0.2%0.1%(+0.10)#1000.7%(-0.53)#6,338
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