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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 Native / Alaskan Population in Alabama

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Native / Alaskan Population in Alabama?
Top 10 Zip Codes with the Highest Percentage of Native / Alaskan Population in Alabama are:
#1
(39.42%)
#2
36553,
(38.15%)
#3
36560,
(29.42%)
#4
36513,
(12.35%)
#5
36556,
(8.76%)
#6
36562,
(8.22%)
#7
35673,
(7.63%)
#8
36502,
(7.10%)
#9
35672,
(7.05%)
#10
35981,
(6.38%)
What is the Perentage of Native / Alaskan Population in the State of Alabama?
Perentage of Native / Alaskan Population in Alabama is 0.52%.
What is the Perentage of Native / Alaskan Population in the United States?
Perentage of Native / Alaskan Population in the United States is 0.85%.

Percentage of Native / Alaskan Population by Zip Code in Alabama

Zip CodeNative / Alaskanvs. Statevs. National
1.36543, Alabama39.42%0.52%(+38.89)#10.85%(+38.57)#402
2.36553, 38.15%0.52%(+37.62)#20.85%(+37.30)#409
3.36560, 29.42%0.52%(+28.89)#30.85%(+28.57)#469
4.36513, 12.35%0.52%(+11.83)#40.85%(+11.50)#860
5.36556, 8.76%0.52%(+8.23)#50.85%(+7.91)#1,092
6.36562, 8.22%0.52%(+7.70)#60.85%(+7.38)#1,141
7.35673, 7.63%0.52%(+7.10)#70.85%(+6.78)#1,189
8.36502, 7.10%0.52%(+6.58)#80.85%(+6.25)#1,241
9.35672, 7.05%0.52%(+6.53)#90.85%(+6.21)#1,244
10.35981, 6.38%0.52%(+5.86)#100.85%(+5.53)#1,338
11.36521, 6.24%0.52%(+5.72)#110.85%(+5.39)#1,366
12.35650, 5.23%0.52%(+4.71)#120.85%(+4.38)#1,555
13.36445, 5.08%0.52%(+4.56)#130.85%(+4.24)#1,591
14.36480, 4.58%0.52%(+4.05)#140.85%(+3.73)#1,709
15.36020, 4.52%0.52%(+4.00)#150.85%(+3.68)#1,728
16.36453, 4.22%0.52%(+3.69)#160.85%(+3.37)#1,812
17.36529, 3.83%0.52%(+3.30)#170.85%(+2.98)#1,944
18.36522, 3.73%0.52%(+3.21)#180.85%(+2.89)#1,992
19.36441, 3.68%0.52%(+3.16)#190.85%(+2.83)#2,013
20.36035, 3.67%0.52%(+3.15)#200.85%(+2.83)#2,018
21.36574, 3.65%0.52%(+3.13)#210.85%(+2.80)#2,027
22.36525, 3.61%0.52%(+3.08)#220.85%(+2.76)#2,042
23.35653, 3.22%0.52%(+2.70)#230.85%(+2.37)#2,190
24.35966, 2.94%0.52%(+2.42)#240.85%(+2.09)#2,331
25.36740, 2.90%0.52%(+2.38)#250.85%(+2.05)#2,354
26.35085, 2.89%0.52%(+2.36)#260.85%(+2.04)#2,360
27.35759, 2.87%0.52%(+2.35)#270.85%(+2.02)#2,368
28.35619, 2.82%0.52%(+2.29)#280.85%(+1.97)#2,395
29.35979, 2.66%0.52%(+2.14)#290.85%(+1.82)#2,516
30.35035, 2.56%0.52%(+2.03)#300.85%(+1.71)#2,595
31.35622, 2.47%0.52%(+1.95)#310.85%(+1.62)#2,660
32.35776, 2.46%0.52%(+1.93)#320.85%(+1.61)#2,666
33.35643, 2.16%0.52%(+1.63)#330.85%(+1.31)#2,939
34.35752, 2.13%0.52%(+1.60)#340.85%(+1.28)#2,975
35.35987, 2.12%0.52%(+1.59)#350.85%(+1.27)#2,984
36.36071, 1.97%0.52%(+1.45)#360.85%(+1.13)#3,150
37.35986, 1.97%0.52%(+1.45)#370.85%(+1.12)#3,156
38.36034, 1.94%0.52%(+1.42)#380.85%(+1.10)#3,188
39.36009, 1.91%0.52%(+1.38)#390.85%(+1.06)#3,242
40.36346, 1.89%0.52%(+1.36)#400.85%(+1.04)#3,274
41.35740, 1.87%0.52%(+1.34)#410.85%(+1.02)#3,293
42.36567, 1.85%0.52%(+1.32)#420.85%(+1.00)#3,318
43.36351, 1.78%0.52%(+1.26)#430.85%(+0.93)#3,407
44.36374, 1.78%0.52%(+1.25)#440.85%(+0.93)#3,411
45.35968, 1.77%0.52%(+1.24)#450.85%(+0.92)#3,426
46.36272, 1.72%0.52%(+1.19)#460.85%(+0.87)#3,497
47.36571, 1.71%0.52%(+1.19)#470.85%(+0.87)#3,504
48.35747, 1.70%0.52%(+1.17)#480.85%(+0.85)#3,530
49.35651, 1.69%0.52%(+1.16)#490.85%(+0.84)#3,548
50.35571, 1.68%0.52%(+1.15)#500.85%(+0.83)#3,571
51.36043, 1.65%0.52%(+1.13)#510.85%(+0.81)#3,603
52.35953, 1.64%0.52%(+1.11)#520.85%(+0.79)#3,627
53.36322, 1.63%0.52%(+1.10)#530.85%(+0.78)#3,651
54.36344, 1.61%0.52%(+1.08)#540.85%(+0.76)#3,677
55.35962, 1.49%0.52%(+0.96)#550.85%(+0.64)#3,900
56.35750, 1.42%0.52%(+0.89)#560.85%(+0.57)#4,053
57.35963, 1.42%0.52%(+0.89)#570.85%(+0.57)#4,062
58.35808, 1.41%0.52%(+0.89)#580.85%(+0.56)#4,069
59.35765, 1.40%0.52%(+0.88)#590.85%(+0.56)#4,084
60.36530, 1.38%0.52%(+0.86)#600.85%(+0.54)#4,138
61.35956, 1.38%0.52%(+0.85)#610.85%(+0.53)#4,153
62.35772, 1.34%0.52%(+0.82)#620.85%(+0.50)#4,232
63.36206, 1.30%0.52%(+0.78)#630.85%(+0.46)#4,347
64.36010, 1.30%0.52%(+0.78)#640.85%(+0.45)#4,360
65.36551, 1.27%0.52%(+0.75)#650.85%(+0.43)#4,433
66.35760, 1.27%0.52%(+0.75)#660.85%(+0.42)#4,438
67.35646, 1.26%0.52%(+0.74)#670.85%(+0.41)#4,477
68.35616, 1.25%0.52%(+0.72)#680.85%(+0.40)#4,521
69.35761, 1.24%0.52%(+0.71)#690.85%(+0.39)#4,561
70.36855, 1.22%0.52%(+0.70)#700.85%(+0.37)#4,598
71.36507, 1.20%0.52%(+0.67)#710.85%(+0.35)#4,668
72.35901, 1.19%0.52%(+0.67)#720.85%(+0.34)#4,701
73.35178, 1.19%0.52%(+0.66)#730.85%(+0.34)#4,712
74.36003, 1.17%0.52%(+0.65)#740.85%(+0.32)#4,770
75.36576, 1.17%0.52%(+0.64)#750.85%(+0.32)#4,788
76.36542, 1.15%0.52%(+0.63)#760.85%(+0.31)#4,847
77.35634, 1.15%0.52%(+0.63)#770.85%(+0.30)#4,859
78.36082, 1.14%0.52%(+0.62)#780.85%(+0.29)#4,895
79.36875, 1.14%0.52%(+0.61)#790.85%(+0.29)#4,902
80.36752, 1.13%0.52%(+0.61)#800.85%(+0.29)#4,916
81.35988, 1.13%0.52%(+0.60)#810.85%(+0.28)#4,951
82.35143, 1.11%0.52%(+0.59)#820.85%(+0.26)#4,995
83.36330, 1.11%0.52%(+0.58)#830.85%(+0.26)#5,004
84.36277, 1.11%0.52%(+0.58)#840.85%(+0.26)#5,005
85.36017, 1.10%0.52%(+0.58)#850.85%(+0.26)#5,019
86.35087, 1.09%0.52%(+0.56)#860.85%(+0.24)#5,077
87.35614, 1.08%0.52%(+0.55)#870.85%(+0.23)#5,115
88.35044, 1.07%0.52%(+0.54)#880.85%(+0.22)#5,161
89.35150, 1.07%0.52%(+0.54)#890.85%(+0.22)#5,168
90.35613, 1.04%0.52%(+0.52)#900.85%(+0.20)#5,261
91.35233, 1.04%0.52%(+0.52)#910.85%(+0.19)#5,272
92.36877, 1.01%0.52%(+0.49)#920.85%(+0.16)#5,398
93.36025, 1.01%0.52%(+0.49)#930.85%(+0.16)#5,403
94.36323, 0.99%0.52%(+0.47)#940.85%(+0.15)#5,472
95.36477, 0.98%0.52%(+0.45)#950.85%(+0.13)#5,541
96.35541, 0.97%0.52%(+0.45)#960.85%(+0.12)#5,563
97.35764, 0.93%0.52%(+0.40)#970.85%(+0.08)#5,752
98.35769, 0.92%0.52%(+0.40)#980.85%(+0.08)#5,765
99.35007, 0.92%0.52%(+0.39)#990.85%(+0.07)#5,811
100.35971, 0.90%0.52%(+0.38)#1000.85%(+0.05)#5,872
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