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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 Washington

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Lithuanian Population in Washington?
Top 10 Zip Codes with the Highest Percentage of Lithuanian Population in Washington are:
#1
(10.73%)
#2
98394,
(2.11%)
#3
98019,
(1.73%)
#4
98416,
(1.56%)
#5
99016,
(1.54%)
#6
98377,
(1.40%)
#7
98596,
(1.40%)
#8
98107,
(1.34%)
#9
99143,
(1.16%)
#10
98333,
(0.92%)
What is the Percentage of Lithuanian Population in the State of Washington?
Percentage of Lithuanian Population in Washington is 0.16%.
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 Washington

Zip CodeLithuanianvs. Statevs. National
1.98164, Washington10.73%0.16%(+10.57)#10.19%(+10.54)#15
2.98394, 2.11%0.16%(+1.95)#20.19%(+1.92)#339
3.98019, 1.73%0.16%(+1.57)#30.19%(+1.54)#479
4.98416, 1.56%0.16%(+1.40)#40.19%(+1.37)#563
5.99016, 1.54%0.16%(+1.37)#50.19%(+1.34)#576
6.98377, 1.40%0.16%(+1.24)#60.19%(+1.21)#662
7.98596, 1.40%0.16%(+1.23)#70.19%(+1.20)#670
8.98107, 1.34%0.16%(+1.18)#80.19%(+1.15)#705
9.99143, 1.16%0.16%(+1.00)#90.19%(+0.96)#916
10.98333, 0.92%0.16%(+0.76)#100.19%(+0.73)#1,314
11.98110, 0.87%0.16%(+0.71)#110.19%(+0.68)#1,418
12.98121, 0.78%0.16%(+0.62)#120.19%(+0.59)#1,655
13.98847, 0.78%0.16%(+0.61)#130.19%(+0.58)#1,683
14.99013, 0.77%0.16%(+0.61)#140.19%(+0.58)#1,701
15.98660, 0.75%0.16%(+0.59)#150.19%(+0.56)#1,753
16.98580, 0.68%0.16%(+0.52)#160.19%(+0.49)#2,037
17.98125, 0.67%0.16%(+0.51)#170.19%(+0.48)#2,053
18.98166, 0.67%0.16%(+0.51)#180.19%(+0.48)#2,060
19.99029, 0.65%0.16%(+0.48)#190.19%(+0.45)#2,143
20.98250, 0.63%0.16%(+0.47)#200.19%(+0.44)#2,244
21.98651, 0.63%0.16%(+0.46)#210.19%(+0.43)#2,262
22.98257, 0.62%0.16%(+0.46)#220.19%(+0.42)#2,303
23.98116, 0.60%0.16%(+0.44)#230.19%(+0.41)#2,383
24.98237, 0.59%0.16%(+0.43)#240.19%(+0.40)#2,458
25.98368, 0.58%0.16%(+0.42)#250.19%(+0.39)#2,514
26.98256, 0.57%0.16%(+0.41)#260.19%(+0.38)#2,545
27.98261, 0.57%0.16%(+0.41)#270.19%(+0.38)#2,556
28.99021, 0.57%0.16%(+0.41)#280.19%(+0.38)#2,580
29.98941, 0.56%0.16%(+0.39)#290.19%(+0.36)#2,659
30.99173, 0.54%0.16%(+0.38)#300.19%(+0.34)#2,758
31.98314, 0.54%0.16%(+0.38)#310.19%(+0.34)#2,760
32.98550, 0.53%0.16%(+0.37)#320.19%(+0.34)#2,813
33.98346, 0.51%0.16%(+0.35)#330.19%(+0.32)#2,921
34.98403, 0.49%0.16%(+0.33)#340.19%(+0.30)#3,060
35.98103, 0.48%0.16%(+0.32)#350.19%(+0.28)#3,152
36.98188, 0.48%0.16%(+0.31)#360.19%(+0.28)#3,161
37.98115, 0.47%0.16%(+0.31)#370.19%(+0.28)#3,189
38.98028, 0.45%0.16%(+0.29)#380.19%(+0.25)#3,375
39.98390, 0.45%0.16%(+0.29)#390.19%(+0.25)#3,379
40.98331, 0.45%0.16%(+0.28)#400.19%(+0.25)#3,384
41.98577, 0.44%0.16%(+0.27)#410.19%(+0.24)#3,469
42.98671, 0.43%0.16%(+0.27)#420.19%(+0.24)#3,505
43.98023, 0.43%0.16%(+0.27)#430.19%(+0.24)#3,515
44.98640, 0.42%0.16%(+0.25)#440.19%(+0.22)#3,685
45.98506, 0.40%0.16%(+0.24)#450.19%(+0.21)#3,787
46.98105, 0.40%0.16%(+0.24)#460.19%(+0.21)#3,832
47.98117, 0.40%0.16%(+0.23)#470.19%(+0.20)#3,882
48.99202, 0.39%0.16%(+0.23)#480.19%(+0.20)#3,913
49.98239, 0.39%0.16%(+0.23)#490.19%(+0.19)#3,963
50.99360, 0.38%0.16%(+0.22)#500.19%(+0.18)#4,053
51.98684, 0.37%0.16%(+0.20)#510.19%(+0.17)#4,147
52.98118, 0.37%0.16%(+0.20)#520.19%(+0.17)#4,164
53.98020, 0.37%0.16%(+0.20)#530.19%(+0.17)#4,172
54.98007, 0.36%0.16%(+0.20)#540.19%(+0.17)#4,215
55.98402, 0.35%0.16%(+0.19)#550.19%(+0.16)#4,284
56.98328, 0.35%0.16%(+0.19)#560.19%(+0.16)#4,304
57.98199, 0.35%0.16%(+0.19)#570.19%(+0.16)#4,316
58.99166, 0.35%0.16%(+0.19)#580.19%(+0.16)#4,335
59.98102, 0.35%0.16%(+0.18)#590.19%(+0.15)#4,386
60.98332, 0.34%0.16%(+0.18)#600.19%(+0.15)#4,418
61.98245, 0.34%0.16%(+0.18)#610.19%(+0.15)#4,469
62.98243, 0.34%0.16%(+0.18)#620.19%(+0.15)#4,472
63.98579, 0.34%0.16%(+0.18)#630.19%(+0.14)#4,493
64.98070, 0.33%0.16%(+0.17)#640.19%(+0.14)#4,588
65.98230, 0.32%0.16%(+0.16)#650.19%(+0.13)#4,669
66.98075, 0.32%0.16%(+0.15)#660.19%(+0.12)#4,771
67.98133, 0.31%0.16%(+0.14)#670.19%(+0.11)#4,916
68.98119, 0.30%0.16%(+0.14)#680.19%(+0.11)#4,945
69.98178, 0.30%0.16%(+0.14)#690.19%(+0.11)#5,000
70.98283, 0.29%0.16%(+0.13)#700.19%(+0.10)#5,098
71.99161, 0.29%0.16%(+0.12)#710.19%(+0.09)#5,176
72.98310, 0.29%0.16%(+0.12)#720.19%(+0.09)#5,189
73.98662, 0.29%0.16%(+0.12)#730.19%(+0.09)#5,192
74.98625, 0.28%0.16%(+0.12)#740.19%(+0.09)#5,246
75.98104, 0.28%0.16%(+0.12)#750.19%(+0.09)#5,253
76.98126, 0.28%0.16%(+0.12)#760.19%(+0.09)#5,299
77.98155, 0.28%0.16%(+0.11)#770.19%(+0.08)#5,330
78.98225, 0.27%0.16%(+0.11)#780.19%(+0.08)#5,394
79.99352, 0.26%0.16%(+0.10)#790.19%(+0.07)#5,529
80.98040, 0.26%0.16%(+0.10)#800.19%(+0.07)#5,562
81.98010, 0.25%0.16%(+0.09)#810.19%(+0.06)#5,752
82.98683, 0.24%0.16%(+0.08)#820.19%(+0.05)#5,857
83.98006, 0.24%0.16%(+0.08)#830.19%(+0.05)#5,876
84.98264, 0.24%0.16%(+0.08)#840.19%(+0.05)#5,934
85.98926, 0.24%0.16%(+0.08)#850.19%(+0.05)#5,940
86.98591, 0.24%0.16%(+0.07)#860.19%(+0.04)#5,974
87.98606, 0.23%0.16%(+0.07)#870.19%(+0.04)#6,044
88.99037, 0.23%0.16%(+0.07)#880.19%(+0.04)#6,053
89.98112, 0.23%0.16%(+0.07)#890.19%(+0.04)#6,064
90.98144, 0.23%0.16%(+0.07)#900.19%(+0.04)#6,071
91.98465, 0.23%0.16%(+0.07)#910.19%(+0.04)#6,095
92.99003, 0.23%0.16%(+0.06)#920.19%(+0.03)#6,140
93.98012, 0.23%0.16%(+0.06)#930.19%(+0.03)#6,159
94.98021, 0.23%0.16%(+0.06)#940.19%(+0.03)#6,160
95.98391, 0.22%0.16%(+0.06)#950.19%(+0.03)#6,175
96.98106, 0.22%0.16%(+0.06)#960.19%(+0.03)#6,190
97.98168, 0.22%0.16%(+0.06)#970.19%(+0.03)#6,235
98.98221, 0.22%0.16%(+0.06)#980.19%(+0.03)#6,245
99.98373, 0.22%0.16%(+0.06)#990.19%(+0.03)#6,262
100.98370, 0.22%0.16%(+0.05)#1000.19%(+0.02)#6,317
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