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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 Texas

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Native / Alaskan Population in Texas?
Top 10 Zip Codes with the Highest Percentage of Native / Alaskan Population in Texas are:
#1
(27.64%)
#2
78671,
(19.12%)
#3
79538,
(15.69%)
#4
79852,
(13.54%)
#5
79748,
(13.09%)
#6
78675,
(12.42%)
#7
79519,
(12.20%)
#8
78615,
(11.95%)
#9
76041,
(9.87%)
#10
79369,
(9.68%)
What is the Percentage of Native / Alaskan Population in the State of Texas?
Percentage of Native / Alaskan Population in Texas is 0.50%.
What is the Percentage of Native / Alaskan Population in the United States?
Percentage of Native / Alaskan Population in the United States is 0.85%.

Percentage of Native / Alaskan Population by Zip Code in Texas

Zip CodeNative / Alaskanvs. Statevs. National
1.77876, Texas27.64%0.50%(+27.14)#10.85%(+26.80)#491
2.78671, 19.12%0.50%(+18.62)#20.85%(+18.27)#631
3.79538, 15.69%0.50%(+15.19)#30.85%(+14.85)#736
4.79852, 13.54%0.50%(+13.04)#40.85%(+12.69)#814
5.79748, 13.09%0.50%(+12.59)#50.85%(+12.24)#830
6.78675, 12.42%0.50%(+11.92)#60.85%(+11.57)#857
7.79519, 12.20%0.50%(+11.69)#70.85%(+11.35)#871
8.78615, 11.95%0.50%(+11.45)#80.85%(+11.10)#886
9.76041, 9.87%0.50%(+9.37)#90.85%(+9.03)#1,007
10.79369, 9.68%0.50%(+9.18)#100.85%(+8.83)#1,021
11.75488, 9.30%0.50%(+8.80)#110.85%(+8.46)#1,046
12.77614, 8.30%0.50%(+7.80)#120.85%(+7.45)#1,134
13.78851, 8.11%0.50%(+7.61)#130.85%(+7.26)#1,152
14.78371, 7.84%0.50%(+7.34)#140.85%(+7.00)#1,170
15.79843, 7.70%0.50%(+7.20)#150.85%(+6.85)#1,182
16.79534, 7.20%0.50%(+6.70)#160.85%(+6.35)#1,231
17.76370, 6.90%0.50%(+6.40)#170.85%(+6.05)#1,257
18.76958, 6.56%0.50%(+6.06)#180.85%(+5.71)#1,310
19.78594, 5.66%0.50%(+5.16)#190.85%(+4.81)#1,454
20.78243, 5.64%0.50%(+5.14)#200.85%(+4.79)#1,457
21.76261, 5.61%0.50%(+5.11)#210.85%(+4.77)#1,466
22.75411, 5.51%0.50%(+5.01)#220.85%(+4.66)#1,485
23.76474, 5.26%0.50%(+4.76)#230.85%(+4.42)#1,544
24.79777, 5.12%0.50%(+4.62)#240.85%(+4.27)#1,581
25.75944, 5.09%0.50%(+4.59)#250.85%(+4.24)#1,587
26.79239, 4.97%0.50%(+4.47)#260.85%(+4.13)#1,608
27.76578, 4.86%0.50%(+4.36)#270.85%(+4.01)#1,643
28.77417, 4.59%0.50%(+4.09)#280.85%(+3.74)#1,706
29.78010, 4.38%0.50%(+3.88)#290.85%(+3.53)#1,761
30.79088, 4.23%0.50%(+3.73)#300.85%(+3.38)#1,809
31.75459, 4.21%0.50%(+3.71)#310.85%(+3.36)#1,815
32.75152, 3.97%0.50%(+3.46)#320.85%(+3.12)#1,906
33.79046, 3.93%0.50%(+3.43)#330.85%(+3.09)#1,920
34.79842, 3.76%0.50%(+3.26)#340.85%(+2.92)#1,977
35.79532, 3.75%0.50%(+3.25)#350.85%(+2.91)#1,980
36.76360, 3.75%0.50%(+3.25)#360.85%(+2.90)#1,981
37.79036, 3.68%0.50%(+3.18)#370.85%(+2.84)#2,008
38.75101, 3.68%0.50%(+3.17)#380.85%(+2.83)#2,015
39.75144, 3.44%0.50%(+2.93)#390.85%(+2.59)#2,106
40.75428, 3.41%0.50%(+2.91)#400.85%(+2.57)#2,118
41.76870, 3.33%0.50%(+2.83)#410.85%(+2.49)#2,148
42.79744, 3.27%0.50%(+2.77)#420.85%(+2.42)#2,169
43.76667, 3.24%0.50%(+2.74)#430.85%(+2.40)#2,180
44.76660, 3.21%0.50%(+2.71)#440.85%(+2.36)#2,199
45.78643, 3.16%0.50%(+2.66)#450.85%(+2.31)#2,221
46.76088, 3.16%0.50%(+2.66)#460.85%(+2.31)#2,223
47.78226, 3.14%0.50%(+2.64)#470.85%(+2.29)#2,241
48.78752, 3.09%0.50%(+2.59)#480.85%(+2.24)#2,260
49.75157, 3.07%0.50%(+2.56)#490.85%(+2.22)#2,267
50.79754, 3.06%0.50%(+2.56)#500.85%(+2.21)#2,270
51.75155, 3.03%0.50%(+2.53)#510.85%(+2.18)#2,285
52.75683, 2.99%0.50%(+2.49)#520.85%(+2.15)#2,305
53.79411, 2.94%0.50%(+2.44)#530.85%(+2.09)#2,334
54.79502, 2.91%0.50%(+2.41)#540.85%(+2.06)#2,346
55.77456, 2.89%0.50%(+2.39)#550.85%(+2.04)#2,359
56.76379, 2.88%0.50%(+2.38)#560.85%(+2.03)#2,362
57.77807, 2.81%0.50%(+2.31)#570.85%(+1.96)#2,401
58.79788, 2.77%0.50%(+2.27)#580.85%(+1.93)#2,430
59.79233, 2.76%0.50%(+2.26)#590.85%(+1.91)#2,440
60.78935, 2.76%0.50%(+2.25)#600.85%(+1.91)#2,442
61.75125, 2.70%0.50%(+2.20)#610.85%(+1.86)#2,470
62.75421, 2.70%0.50%(+2.20)#620.85%(+1.86)#2,471
63.75937, 2.69%0.50%(+2.19)#630.85%(+1.85)#2,478
64.78373, 2.69%0.50%(+2.19)#640.85%(+1.84)#2,490
65.78624, 2.68%0.50%(+2.18)#650.85%(+1.83)#2,498
66.76127, 2.67%0.50%(+2.17)#660.85%(+1.83)#2,504
67.78619, 2.66%0.50%(+2.16)#670.85%(+1.82)#2,515
68.79415, 2.64%0.50%(+2.14)#680.85%(+1.80)#2,529
69.79403, 2.62%0.50%(+2.12)#690.85%(+1.77)#2,539
70.79034, 2.62%0.50%(+2.12)#700.85%(+1.77)#2,542
71.79104, 2.61%0.50%(+2.11)#710.85%(+1.76)#2,547
72.76462, 2.58%0.50%(+2.08)#720.85%(+1.73)#2,580
73.79782, 2.56%0.50%(+2.06)#730.85%(+1.71)#2,596
74.79087, 2.54%0.50%(+2.04)#740.85%(+1.70)#2,605
75.76265, 2.51%0.50%(+2.01)#750.85%(+1.67)#2,629
76.75574, 2.47%0.50%(+1.97)#760.85%(+1.62)#2,658
77.75763, 2.47%0.50%(+1.96)#770.85%(+1.62)#2,662
78.75554, 2.39%0.50%(+1.89)#780.85%(+1.55)#2,716
79.77078, 2.37%0.50%(+1.87)#790.85%(+1.52)#2,740
80.79503, 2.35%0.50%(+1.85)#800.85%(+1.51)#2,749
81.79095, 2.33%0.50%(+1.83)#810.85%(+1.49)#2,768
82.76878, 2.31%0.50%(+1.81)#820.85%(+1.46)#2,797
83.77995, 2.29%0.50%(+1.79)#830.85%(+1.45)#2,808
84.75127, 2.29%0.50%(+1.79)#840.85%(+1.44)#2,813
85.77504, 2.28%0.50%(+1.78)#850.85%(+1.43)#2,819
86.78636, 2.28%0.50%(+1.78)#860.85%(+1.43)#2,821
87.77873, 2.25%0.50%(+1.75)#870.85%(+1.40)#2,849
88.76401, 2.25%0.50%(+1.75)#880.85%(+1.40)#2,850
89.76856, 2.25%0.50%(+1.75)#890.85%(+1.40)#2,852
90.78224, 2.24%0.50%(+1.74)#900.85%(+1.39)#2,865
91.79528, 2.21%0.50%(+1.71)#910.85%(+1.37)#2,887
92.78211, 2.21%0.50%(+1.71)#920.85%(+1.36)#2,890
93.78056, 2.20%0.50%(+1.70)#930.85%(+1.35)#2,895
94.76692, 2.19%0.50%(+1.69)#940.85%(+1.35)#2,898
95.77423, 2.17%0.50%(+1.66)#950.85%(+1.32)#2,928
96.77351, 2.16%0.50%(+1.66)#960.85%(+1.32)#2,929
97.75972, 2.14%0.50%(+1.64)#970.85%(+1.29)#2,956
98.76486, 2.13%0.50%(+1.63)#980.85%(+1.29)#2,965
99.75110, 2.13%0.50%(+1.63)#990.85%(+1.28)#2,974
100.79024, 2.11%0.50%(+1.60)#1000.85%(+1.26)#2,995
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