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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 AmericanHawaiian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHawaiian / 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
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
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 AssistanceInformation & TechnologyManufacturingMining, 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
In Private SchoolNursery / 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 Largest Household Size in Maine

On this page

Common Questions

What are the Top 10 Zip Codes with the Largest Household Size in Maine?
Top 10 Zip Codes with the Largest Household Size in Maine are:
#1
4.3
#2
3.8
#3
3.4
#4
3.2
#5
3.1
#6
3.1
#7
3.0
#8
3.0
#9
3.0
#10
3.0
What zip code has the Largest Household Size in Maine?
04926 has the Largest Household Size in Maine with 4.3.
What is the Household Size in the State of Maine?
Household Size in Maine is 2.3.
What is the Household Size in the United States?
Household Size in the United States is 2.6.

Map of Zip Codes with the Largest Household Size in Maine

2.5
5.0
Zip Codes with the Largest Household Size in Maine Map

Zip Codes with the Largest Household Size in Maine

Zip Codes with the Largest Household Size in Maine Chart
Zip Code People / Household vs State vs National
1.049264.32.3(+1.99)#12.6(+1.70)#308
2.039113.82.3(+1.51)#22.6(+1.22)#643
3.049863.42.3(+1.13)#32.6(+0.840)#1,438
4.040613.22.3(+0.880)#42.6(+0.590)#2,567
5.042633.12.3(+0.810)#52.6(+0.520)#3,060
6.039103.12.3(+0.760)#62.6(+0.470)#3,506
7.042213.02.3(+0.740)#72.6(+0.450)#3,667
8.040303.02.3(+0.730)#82.6(+0.440)#3,758
9.046643.02.3(+0.660)#92.6(+0.370)#4,620
10.047763.02.3(+0.660)#102.6(+0.370)#4,629
11.043482.92.3(+0.600)#112.6(+0.310)#5,505
12.041102.92.3(+0.600)#122.6(+0.310)#5,521
13.049842.92.3(+0.600)#132.6(+0.310)#5,539
14.048522.92.3(+0.570)#142.6(+0.280)#6,052
15.040272.82.3(+0.520)#152.6(+0.230)#6,864
16.042202.82.3(+0.510)#162.6(+0.220)#7,087
17.040242.82.3(+0.510)#172.6(+0.220)#7,167
18.049252.82.3(+0.510)#182.6(+0.220)#7,195
19.042382.82.3(+0.500)#192.6(+0.210)#7,367
20.040212.82.3(+0.490)#202.6(+0.200)#7,518
21.040852.82.3(+0.490)#212.6(+0.200)#7,557
22.047772.82.3(+0.490)#222.6(+0.200)#7,647
23.042892.82.3(+0.480)#232.6(+0.190)#7,818
24.046232.82.3(+0.480)#242.6(+0.190)#7,850
25.047802.82.3(+0.480)#252.6(+0.190)#7,852
26.042942.82.3(+0.470)#262.6(+0.180)#7,996
27.044422.82.3(+0.470)#272.6(+0.180)#8,106
28.040872.82.3(+0.450)#282.6(+0.160)#8,492
29.044182.82.3(+0.450)#292.6(+0.160)#8,523
30.040692.82.3(+0.440)#302.6(+0.150)#8,764
31.044882.82.3(+0.440)#312.6(+0.150)#8,776
32.042922.82.3(+0.440)#322.6(+0.150)#8,783
33.045752.82.3(+0.440)#332.6(+0.150)#8,818
34.044282.72.3(+0.430)#342.6(+0.140)#8,965
35.040382.72.3(+0.420)#352.6(+0.130)#9,122
36.042312.72.3(+0.420)#362.6(+0.130)#9,339
37.049652.72.3(+0.410)#372.6(+0.120)#9,528
38.047612.72.3(+0.410)#382.6(+0.120)#9,601
39.040412.72.3(+0.400)#392.6(+0.110)#9,843
40.049562.72.3(+0.400)#402.6(+0.110)#9,885
41.049102.72.3(+0.390)#412.6(+0.100)#10,116
42.040102.72.3(+0.390)#422.6(+0.100)#10,133
43.042702.72.3(+0.380)#432.6(+0.090)#10,338
44.042602.72.3(+0.380)#442.6(+0.090)#10,343
45.040972.72.3(+0.380)#452.6(+0.090)#10,367
46.040482.72.3(+0.380)#462.6(+0.090)#10,388
47.044342.72.3(+0.380)#472.6(+0.090)#10,460
48.047342.72.3(+0.380)#482.6(+0.090)#10,475
49.044552.72.3(+0.380)#492.6(+0.090)#10,484
50.039082.72.3(+0.370)#502.6(+0.080)#10,630
51.044112.72.3(+0.360)#512.6(+0.070)#11,035
52.045352.72.3(+0.360)#522.6(+0.070)#11,090
53.044892.72.3(+0.360)#532.6(+0.070)#11,123
54.046352.72.3(+0.360)#542.6(+0.070)#11,148
55.042562.72.3(+0.350)#552.6(+0.060)#11,329
56.049122.72.3(+0.350)#562.6(+0.060)#11,404
57.042362.62.3(+0.340)#572.6(+0.050)#11,595
58.043552.62.3(+0.340)#582.6(+0.050)#11,629
59.040682.62.3(+0.330)#592.6(+0.040)#11,951
60.044272.62.3(+0.320)#602.6(+0.030)#12,275
61.043422.62.3(+0.320)#612.6(+0.030)#12,310
62.040222.62.3(+0.320)#622.6(+0.030)#12,343
63.046432.62.3(+0.320)#632.6(+0.030)#12,362
64.043602.62.3(+0.320)#642.6(+0.030)#12,379
65.042522.62.3(+0.310)#652.6(+0.020)#12,570
66.044502.62.3(+0.300)#662.6(+0.010)#12,990
67.046672.62.3(+0.300)#672.6(+0.010)#12,995
68.040492.62.3(+0.290)#682.6(=0.000)#13,275
69.048562.62.3(+0.290)#692.6(=0.000)#13,280
70.044152.62.3(+0.290)#702.6(=0.000)#13,421
71.044442.62.3(+0.280)#712.6(-0.010)#13,567
72.042682.62.3(+0.280)#722.6(-0.010)#13,604
73.042582.62.3(+0.280)#732.6(-0.010)#13,649
74.048472.62.3(+0.280)#742.6(-0.010)#13,676
75.046482.62.3(+0.280)#752.6(-0.010)#13,736
76.044922.62.3(+0.280)#762.6(-0.010)#13,779
77.049242.62.3(+0.270)#772.6(-0.020)#13,979
78.045792.62.3(+0.260)#782.6(-0.030)#14,323
79.040762.62.3(+0.250)#792.6(-0.040)#14,667
80.044612.52.3(+0.240)#802.6(-0.050)#14,999
81.046662.52.3(+0.240)#812.6(-0.050)#15,058
82.044532.52.3(+0.240)#822.6(-0.050)#15,103
83.040082.52.3(+0.230)#832.6(-0.060)#15,353
84.044352.52.3(+0.230)#842.6(-0.060)#15,424
85.043452.52.3(+0.220)#852.6(-0.070)#15,622
86.040962.52.3(+0.220)#862.6(-0.070)#15,645
87.049672.52.3(+0.220)#872.6(-0.070)#15,698
88.047422.52.3(+0.220)#882.6(-0.070)#15,710
89.046712.52.3(+0.220)#892.6(-0.070)#15,819
90.040842.52.3(+0.210)#902.6(-0.080)#16,021
91.040372.52.3(+0.210)#912.6(-0.080)#16,068
92.046802.52.3(+0.210)#922.6(-0.080)#16,155
93.045512.52.3(+0.210)#932.6(-0.080)#16,198
94.040622.52.3(+0.200)#942.6(-0.090)#16,347
95.041052.52.3(+0.200)#952.6(-0.090)#16,374
96.043532.52.3(+0.200)#962.6(-0.090)#16,497
97.049692.52.3(+0.200)#972.6(-0.090)#16,545
98.040932.52.3(+0.190)#982.6(-0.100)#16,760
99.039032.52.3(+0.190)#992.6(-0.100)#16,769
100.042742.52.3(+0.190)#1002.6(-0.100)#16,777
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