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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 Lithuanian Population in Texas

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Lithuanian Population in Texas?
Top 10 Zip Codes with the Highest Percentage of Lithuanian Population in Texas are:
#1
(2.68%)
#2
76474,
(1.75%)
#3
78935,
(1.46%)
#4
76443,
(1.25%)
#5
76301,
(1.15%)
#6
78712,
(0.91%)
#7
78756,
(0.74%)
#8
77094,
(0.73%)
#9
76228,
(0.70%)
#10
77030,
(0.64%)
What is the Percentage of Lithuanian Population in the State of Texas?
Percentage of Lithuanian Population in Texas is 0.05%.
What is the Percentage of Lithuanian Population in the United States?
Percentage of Lithuanian Population in the United States is 0.19%.

Percentage of Lithuanian Population by Zip Code in Texas

Zip CodeLithuanianvs. Statevs. National
1.79852, Texas2.68%0.05%(+2.63)#10.19%(+2.49)#237
2.76474, 1.75%0.05%(+1.70)#20.19%(+1.56)#472
3.78935, 1.46%0.05%(+1.40)#30.19%(+1.26)#627
4.76443, 1.25%0.05%(+1.20)#40.19%(+1.06)#794
5.76301, 1.15%0.05%(+1.10)#50.19%(+0.96)#926
6.78712, 0.91%0.05%(+0.85)#60.19%(+0.72)#1,339
7.78756, 0.74%0.05%(+0.68)#70.19%(+0.54)#1,820
8.77094, 0.73%0.05%(+0.68)#80.19%(+0.54)#1,850
9.76228, 0.70%0.05%(+0.65)#90.19%(+0.51)#1,952
10.77030, 0.64%0.05%(+0.59)#100.19%(+0.45)#2,163
11.78255, 0.64%0.05%(+0.59)#110.19%(+0.45)#2,168
12.79536, 0.59%0.05%(+0.53)#120.19%(+0.40)#2,457
13.75252, 0.58%0.05%(+0.53)#130.19%(+0.39)#2,484
14.75109, 0.57%0.05%(+0.52)#140.19%(+0.38)#2,569
15.75693, 0.57%0.05%(+0.51)#150.19%(+0.37)#2,605
16.75225, 0.53%0.05%(+0.47)#160.19%(+0.34)#2,820
17.78633, 0.51%0.05%(+0.46)#170.19%(+0.32)#2,903
18.77327, 0.46%0.05%(+0.40)#180.19%(+0.26)#3,323
19.78634, 0.45%0.05%(+0.39)#190.19%(+0.25)#3,385
20.77401, 0.43%0.05%(+0.37)#200.19%(+0.23)#3,552
21.76701, 0.42%0.05%(+0.37)#210.19%(+0.23)#3,602
22.77381, 0.41%0.05%(+0.36)#220.19%(+0.22)#3,718
23.75497, 0.41%0.05%(+0.35)#230.19%(+0.22)#3,741
24.75022, 0.40%0.05%(+0.35)#240.19%(+0.21)#3,828
25.78231, 0.40%0.05%(+0.35)#250.19%(+0.21)#3,839
26.78726, 0.39%0.05%(+0.34)#260.19%(+0.20)#3,917
27.79530, 0.37%0.05%(+0.32)#270.19%(+0.18)#4,108
28.76059, 0.36%0.05%(+0.30)#280.19%(+0.16)#4,266
29.78757, 0.35%0.05%(+0.30)#290.19%(+0.16)#4,288
30.77385, 0.35%0.05%(+0.30)#300.19%(+0.16)#4,290
31.78945, 0.34%0.05%(+0.29)#310.19%(+0.15)#4,409
32.78727, 0.34%0.05%(+0.28)#320.19%(+0.14)#4,514
33.78750, 0.33%0.05%(+0.28)#330.19%(+0.14)#4,554
34.77873, 0.33%0.05%(+0.28)#340.19%(+0.14)#4,560
35.76634, 0.32%0.05%(+0.27)#350.19%(+0.13)#4,679
36.78055, 0.32%0.05%(+0.27)#360.19%(+0.13)#4,701
37.77389, 0.32%0.05%(+0.26)#370.19%(+0.13)#4,734
38.79701, 0.31%0.05%(+0.26)#380.19%(+0.12)#4,821
39.77019, 0.31%0.05%(+0.25)#390.19%(+0.11)#4,888
40.78729, 0.31%0.05%(+0.25)#400.19%(+0.11)#4,899
41.78023, 0.30%0.05%(+0.25)#410.19%(+0.11)#4,958
42.76177, 0.30%0.05%(+0.24)#420.19%(+0.11)#5,014
43.75071, 0.30%0.05%(+0.24)#430.19%(+0.11)#5,023
44.75219, 0.29%0.05%(+0.24)#440.19%(+0.10)#5,077
45.78731, 0.29%0.05%(+0.23)#450.19%(+0.10)#5,141
46.76011, 0.28%0.05%(+0.23)#460.19%(+0.09)#5,245
47.75230, 0.28%0.05%(+0.23)#470.19%(+0.09)#5,283
48.75080, 0.28%0.05%(+0.23)#480.19%(+0.09)#5,285
49.78383, 0.28%0.05%(+0.22)#490.19%(+0.09)#5,297
50.75013, 0.28%0.05%(+0.22)#500.19%(+0.08)#5,331
51.77573, 0.27%0.05%(+0.22)#510.19%(+0.08)#5,379
52.75204, 0.27%0.05%(+0.21)#520.19%(+0.07)#5,453
53.76248, 0.27%0.05%(+0.21)#530.19%(+0.07)#5,468
54.75076, 0.26%0.05%(+0.20)#540.19%(+0.06)#5,617
55.75169, 0.25%0.05%(+0.20)#550.19%(+0.06)#5,667
56.78717, 0.25%0.05%(+0.20)#560.19%(+0.06)#5,672
57.76109, 0.25%0.05%(+0.20)#570.19%(+0.06)#5,679
58.79821, 0.25%0.05%(+0.20)#580.19%(+0.06)#5,715
59.79922, 0.25%0.05%(+0.20)#590.19%(+0.06)#5,716
60.78373, 0.25%0.05%(+0.20)#600.19%(+0.06)#5,746
61.75501, 0.25%0.05%(+0.19)#610.19%(+0.06)#5,760
62.77005, 0.25%0.05%(+0.19)#620.19%(+0.05)#5,780
63.78612, 0.25%0.05%(+0.19)#630.19%(+0.05)#5,819
64.78732, 0.24%0.05%(+0.19)#640.19%(+0.05)#5,897
65.78722, 0.24%0.05%(+0.18)#650.19%(+0.04)#5,978
66.75056, 0.24%0.05%(+0.18)#660.19%(+0.04)#5,989
67.75229, 0.24%0.05%(+0.18)#670.19%(+0.04)#6,003
68.76311, 0.23%0.05%(+0.18)#680.19%(+0.04)#6,034
69.78101, 0.23%0.05%(+0.18)#690.19%(+0.04)#6,057
70.78704, 0.23%0.05%(+0.18)#700.19%(+0.04)#6,091
71.77007, 0.23%0.05%(+0.17)#710.19%(+0.03)#6,136
72.75081, 0.22%0.05%(+0.17)#720.19%(+0.03)#6,194
73.77089, 0.22%0.05%(+0.17)#730.19%(+0.03)#6,208
74.75019, 0.22%0.05%(+0.17)#740.19%(+0.03)#6,236
75.76645, 0.22%0.05%(+0.16)#750.19%(+0.02)#6,310
76.75093, 0.22%0.05%(+0.16)#760.19%(+0.02)#6,347
77.76258, 0.21%0.05%(+0.16)#770.19%(+0.02)#6,381
78.77533, 0.21%0.05%(+0.16)#780.19%(+0.02)#6,394
79.77656, 0.21%0.05%(+0.16)#790.19%(+0.02)#6,420
80.77062, 0.21%0.05%(+0.16)#800.19%(+0.02)#6,425
81.78212, 0.21%0.05%(+0.16)#810.19%(+0.02)#6,427
82.78006, 0.21%0.05%(+0.16)#820.19%(+0.02)#6,434
83.78217, 0.21%0.05%(+0.15)#830.19%(+0.01)#6,473
84.78605, 0.21%0.05%(+0.15)#840.19%(+0.01)#6,483
85.76104, 0.21%0.05%(+0.15)#850.19%(+0.01)#6,486
86.78566, 0.21%0.05%(+0.15)#860.19%(+0.01)#6,491
87.78746, 0.21%0.05%(+0.15)#870.19%(+0.01)#6,503
88.76051, 0.20%0.05%(+0.15)#880.19%(+0.01)#6,620
89.75201, 0.20%0.05%(+0.15)#890.19%(+0.01)#6,632
90.77382, 0.20%0.05%(+0.14)#900.19%(+0.01)#6,643
91.75039, 0.20%0.05%(+0.14)#910.19%(+0.01)#6,658
92.78745, 0.20%0.05%(+0.14)#920.19%(+0.00)#6,662
93.76226, 0.20%0.05%(+0.14)#930.19%(+0.00)#6,668
94.77027, 0.20%0.05%(+0.14)#940.19%(+0.00)#6,701
95.77069, 0.20%0.05%(+0.14)#950.19%(+0.00)#6,703
96.75035, 0.20%0.05%(+0.14)#960.19%(+0.00)#6,709
97.75007, 0.19%0.05%(+0.14)#970.19%(+0.00)#6,740
98.76012, 0.19%0.05%(+0.14)#980.19%(+0.00)#6,746
99.75938, 0.19%0.05%(+0.14)#990.19%(-0.00)#6,769
100.77318, 0.19%0.05%(+0.14)#1000.19%(-0.00)#6,839
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