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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 Russian Population in Ohio

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Russian Population in Ohio?
Top 10 Zip Codes with the Highest Percentage of Russian Population in Ohio are:
#1
(10.91%)
#2
44072,
(9.25%)
#3
44661,
(8.33%)
#4
45352,
(7.85%)
#5
44049,
(7.50%)
#6
44122,
(6.17%)
#7
44099,
(5.79%)
#8
44124,
(5.67%)
#9
44022,
(4.77%)
#10
45418,
(4.56%)
What is the Percentage of Russian Population in the State of Ohio?
Percentage of Russian Population in Ohio is 0.59%.
What is the Percentage of Russian Population in the United States?
Percentage of Russian Population in the United States is 0.80%.

Percentage of Russian Population by Zip Code in Ohio

Zip CodeRussianvs. Statevs. National
1.45787, Ohio10.91%0.59%(+10.32)#10.80%(+10.11)#116
2.44072, 9.25%0.59%(+8.66)#20.80%(+8.45)#178
3.44661, 8.33%0.59%(+7.75)#30.80%(+7.53)#227
4.45352, 7.85%0.59%(+7.27)#40.80%(+7.05)#264
5.44049, 7.50%0.59%(+6.91)#50.80%(+6.70)#291
6.44122, 6.17%0.59%(+5.58)#60.80%(+5.37)#433
7.44099, 5.79%0.59%(+5.20)#70.80%(+4.98)#489
8.44124, 5.67%0.59%(+5.09)#80.80%(+4.87)#511
9.44022, 4.77%0.59%(+4.19)#90.80%(+3.97)#666
10.45418, 4.56%0.59%(+3.97)#100.80%(+3.76)#722
11.43766, 4.31%0.59%(+3.72)#110.80%(+3.51)#794
12.44255, 3.44%0.59%(+2.85)#120.80%(+2.64)#1,127
13.43209, 3.42%0.59%(+2.83)#130.80%(+2.62)#1,137
14.45341, 3.37%0.59%(+2.79)#140.80%(+2.57)#1,157
15.45065, 3.30%0.59%(+2.71)#150.80%(+2.49)#1,213
16.44118, 3.29%0.59%(+2.70)#160.80%(+2.48)#1,220
17.44439, 3.03%0.59%(+2.44)#170.80%(+2.23)#1,413
18.44443, 2.97%0.59%(+2.38)#180.80%(+2.16)#1,460
19.44139, 2.92%0.59%(+2.33)#190.80%(+2.11)#1,506
20.45428, 2.89%0.59%(+2.30)#200.80%(+2.09)#1,527
21.44625, 2.84%0.59%(+2.25)#210.80%(+2.03)#1,583
22.44087, 2.76%0.59%(+2.17)#220.80%(+1.96)#1,648
23.44669, 2.57%0.59%(+1.98)#230.80%(+1.77)#1,818
24.45242, 2.54%0.59%(+1.96)#240.80%(+1.74)#1,853
25.43061, 2.54%0.59%(+1.96)#250.80%(+1.74)#1,856
26.45862, 2.39%0.59%(+1.81)#260.80%(+1.59)#1,991
27.43843, 2.30%0.59%(+1.72)#270.80%(+1.50)#2,120
28.45249, 2.28%0.59%(+1.69)#280.80%(+1.47)#2,151
29.44143, 2.22%0.59%(+1.63)#290.80%(+1.41)#2,225
30.43845, 2.17%0.59%(+1.59)#300.80%(+1.37)#2,286
31.44141, 2.15%0.59%(+1.56)#310.80%(+1.34)#2,327
32.43759, 2.13%0.59%(+1.54)#320.80%(+1.32)#2,361
33.44417, 2.11%0.59%(+1.53)#330.80%(+1.31)#2,393
34.45381, 2.09%0.59%(+1.50)#340.80%(+1.28)#2,438
35.44040, 2.07%0.59%(+1.48)#350.80%(+1.27)#2,467
36.44241, 2.04%0.59%(+1.45)#360.80%(+1.23)#2,536
37.44880, 1.91%0.59%(+1.32)#370.80%(+1.10)#2,787
38.43723, 1.90%0.59%(+1.32)#380.80%(+1.10)#2,792
39.44321, 1.90%0.59%(+1.32)#390.80%(+1.10)#2,794
40.45766, 1.89%0.59%(+1.31)#400.80%(+1.09)#2,810
41.44085, 1.88%0.59%(+1.30)#410.80%(+1.08)#2,824
42.44092, 1.88%0.59%(+1.29)#420.80%(+1.08)#2,830
43.44844, 1.87%0.59%(+1.29)#430.80%(+1.07)#2,848
44.43054, 1.87%0.59%(+1.28)#440.80%(+1.07)#2,852
45.44452, 1.77%0.59%(+1.18)#450.80%(+0.96)#3,076
46.43432, 1.76%0.59%(+1.17)#460.80%(+0.95)#3,096
47.45328, 1.74%0.59%(+1.15)#470.80%(+0.93)#3,153
48.44121, 1.73%0.59%(+1.14)#480.80%(+0.92)#3,175
49.44133, 1.70%0.59%(+1.12)#490.80%(+0.90)#3,223
50.44313, 1.68%0.59%(+1.09)#500.80%(+0.87)#3,307
51.43321, 1.66%0.59%(+1.07)#510.80%(+0.85)#3,349
52.44402, 1.65%0.59%(+1.06)#520.80%(+0.84)#3,383
53.43210, 1.63%0.59%(+1.04)#530.80%(+0.82)#3,428
54.45208, 1.62%0.59%(+1.03)#540.80%(+0.82)#3,447
55.43542, 1.61%0.59%(+1.03)#550.80%(+0.81)#3,470
56.44149, 1.61%0.59%(+1.02)#560.80%(+0.80)#3,498
57.44138, 1.59%0.59%(+1.01)#570.80%(+0.79)#3,536
58.44131, 1.54%0.59%(+0.96)#580.80%(+0.74)#3,695
59.43524, 1.53%0.59%(+0.94)#590.80%(+0.72)#3,744
60.44854, 1.53%0.59%(+0.94)#600.80%(+0.72)#3,750
61.44223, 1.52%0.59%(+0.94)#610.80%(+0.72)#3,758
62.44050, 1.52%0.59%(+0.93)#620.80%(+0.72)#3,773
63.44065, 1.49%0.59%(+0.91)#630.80%(+0.69)#3,847
64.44236, 1.49%0.59%(+0.90)#640.80%(+0.69)#3,857
65.44303, 1.47%0.59%(+0.88)#650.80%(+0.67)#3,934
66.44113, 1.46%0.59%(+0.87)#660.80%(+0.65)#3,965
67.43202, 1.44%0.59%(+0.86)#670.80%(+0.64)#4,019
68.43462, 1.44%0.59%(+0.85)#680.80%(+0.64)#4,034
69.44144, 1.39%0.59%(+0.80)#690.80%(+0.59)#4,200
70.45039, 1.39%0.59%(+0.80)#700.80%(+0.58)#4,214
71.44233, 1.38%0.59%(+0.79)#710.80%(+0.58)#4,230
72.43331, 1.37%0.59%(+0.79)#720.80%(+0.57)#4,265
73.44811, 1.37%0.59%(+0.78)#730.80%(+0.57)#4,279
74.44272, 1.37%0.59%(+0.78)#740.80%(+0.56)#4,297
75.43718, 1.36%0.59%(+0.77)#750.80%(+0.56)#4,327
76.44074, 1.36%0.59%(+0.77)#760.80%(+0.55)#4,331
77.44129, 1.35%0.59%(+0.77)#770.80%(+0.55)#4,349
78.44011, 1.34%0.59%(+0.75)#780.80%(+0.54)#4,413
79.44504, 1.34%0.59%(+0.75)#790.80%(+0.53)#4,430
80.44425, 1.34%0.59%(+0.75)#800.80%(+0.53)#4,434
81.44136, 1.33%0.59%(+0.74)#810.80%(+0.52)#4,479
82.44243, 1.32%0.59%(+0.74)#820.80%(+0.52)#4,488
83.44057, 1.32%0.59%(+0.73)#830.80%(+0.52)#4,508
84.43566, 1.31%0.59%(+0.73)#840.80%(+0.51)#4,540
85.43606, 1.31%0.59%(+0.72)#850.80%(+0.51)#4,551
86.45776, 1.30%0.59%(+0.71)#860.80%(+0.50)#4,598
87.45241, 1.29%0.59%(+0.70)#870.80%(+0.49)#4,623
88.44202, 1.28%0.59%(+0.69)#880.80%(+0.47)#4,687
89.45304, 1.27%0.59%(+0.69)#890.80%(+0.47)#4,705
90.43907, 1.27%0.59%(+0.68)#900.80%(+0.47)#4,718
91.44026, 1.27%0.59%(+0.68)#910.80%(+0.46)#4,724
92.44406, 1.27%0.59%(+0.68)#920.80%(+0.46)#4,729
93.44107, 1.25%0.59%(+0.66)#930.80%(+0.45)#4,803
94.44212, 1.24%0.59%(+0.66)#940.80%(+0.44)#4,826
95.43560, 1.23%0.59%(+0.65)#950.80%(+0.43)#4,852
96.44023, 1.22%0.59%(+0.64)#960.80%(+0.42)#4,891
97.44471, 1.22%0.59%(+0.64)#970.80%(+0.42)#4,896
98.45236, 1.22%0.59%(+0.64)#980.80%(+0.42)#4,899
99.44333, 1.22%0.59%(+0.63)#990.80%(+0.42)#4,918
100.43359, 1.21%0.59%(+0.63)#1000.80%(+0.41)#4,949
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