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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 Hungarian Population in Massachusetts

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Hungarian Population in Massachusetts?
Top 10 Zip Codes with the Highest Percentage of Hungarian Population in Massachusetts are:
#1
(7.84%)
#2
01379,
(5.19%)
#3
02675,
(2.81%)
#4
02543,
(2.62%)
#5
01259,
(2.59%)
#6
02025,
(1.73%)
#7
02702,
(1.69%)
#8
01075,
(1.52%)
#9
01770,
(1.51%)
#10
02539,
(1.50%)
What is the Perentage of Hungarian Population in the State of Massachusetts?
Perentage of Hungarian Population in Massachusetts is 0.28%.
What is the Perentage of Hungarian Population in the United States?
Perentage of Hungarian Population in the United States is 0.43%.

Percentage of Hungarian Population by Zip Code in Massachusetts

Zip CodeHungarianvs. Statevs. National
1.02659, Massachusetts7.84%0.28%(+7.56)#10.43%(+7.41)#96
2.01379, 5.19%0.28%(+4.91)#20.43%(+4.76)#197
3.02675, 2.81%0.28%(+2.53)#30.43%(+2.39)#676
4.02543, 2.62%0.28%(+2.34)#40.43%(+2.19)#772
5.01259, 2.59%0.28%(+2.31)#50.43%(+2.17)#791
6.02025, 1.73%0.28%(+1.45)#60.43%(+1.31)#1,500
7.02702, 1.69%0.28%(+1.41)#70.43%(+1.26)#1,557
8.01075, 1.52%0.28%(+1.24)#80.43%(+1.09)#1,804
9.01770, 1.51%0.28%(+1.23)#90.43%(+1.08)#1,834
10.02539, 1.50%0.28%(+1.22)#100.43%(+1.08)#1,839
11.02630, 1.48%0.28%(+1.20)#110.43%(+1.06)#1,880
12.01541, 1.42%0.28%(+1.14)#120.43%(+0.99)#1,993
13.01230, 1.28%0.28%(+1.00)#130.43%(+0.85)#2,302
14.02535, 1.25%0.28%(+0.97)#140.43%(+0.83)#2,349
15.01072, 1.22%0.28%(+0.94)#150.43%(+0.79)#2,450
16.02032, 1.22%0.28%(+0.94)#160.43%(+0.79)#2,460
17.02110, 1.21%0.28%(+0.93)#170.43%(+0.78)#2,474
18.01245, 1.20%0.28%(+0.92)#180.43%(+0.77)#2,502
19.02653, 1.18%0.28%(+0.90)#190.43%(+0.75)#2,563
20.02445, 1.16%0.28%(+0.88)#200.43%(+0.74)#2,615
21.02343, 1.13%0.28%(+0.85)#210.43%(+0.71)#2,717
22.01367, 1.10%0.28%(+0.82)#220.43%(+0.67)#2,848
23.02668, 1.09%0.28%(+0.81)#230.43%(+0.66)#2,862
24.02631, 1.09%0.28%(+0.81)#240.43%(+0.66)#2,866
25.02481, 1.08%0.28%(+0.80)#250.43%(+0.66)#2,889
26.02462, 1.08%0.28%(+0.80)#260.43%(+0.65)#2,905
27.01073, 1.04%0.28%(+0.76)#270.43%(+0.62)#3,043
28.01519, 1.04%0.28%(+0.76)#280.43%(+0.61)#3,062
29.02468, 1.03%0.28%(+0.75)#290.43%(+0.61)#3,074
30.02652, 1.02%0.28%(+0.74)#300.43%(+0.59)#3,132
31.01266, 1.00%0.28%(+0.72)#310.43%(+0.58)#3,190
32.01236, 0.99%0.28%(+0.71)#320.43%(+0.57)#3,243
33.02370, 0.97%0.28%(+0.69)#330.43%(+0.55)#3,327
34.01035, 0.96%0.28%(+0.68)#340.43%(+0.53)#3,413
35.01054, 0.95%0.28%(+0.67)#350.43%(+0.52)#3,453
36.02341, 0.94%0.28%(+0.66)#360.43%(+0.51)#3,505
37.01267, 0.93%0.28%(+0.65)#370.43%(+0.50)#3,541
38.01070, 0.93%0.28%(+0.65)#380.43%(+0.50)#3,551
39.02053, 0.92%0.28%(+0.64)#390.43%(+0.49)#3,610
40.02457, 0.91%0.28%(+0.63)#400.43%(+0.49)#3,622
41.02554, 0.91%0.28%(+0.63)#410.43%(+0.48)#3,654
42.02458, 0.89%0.28%(+0.61)#420.43%(+0.47)#3,711
43.02492, 0.89%0.28%(+0.61)#430.43%(+0.46)#3,719
44.02144, 0.87%0.28%(+0.59)#440.43%(+0.45)#3,792
45.02421, 0.87%0.28%(+0.59)#450.43%(+0.44)#3,815
46.01026, 0.86%0.28%(+0.58)#460.43%(+0.43)#3,894
47.01741, 0.84%0.28%(+0.56)#470.43%(+0.42)#3,973
48.02138, 0.84%0.28%(+0.56)#480.43%(+0.41)#3,994
49.01450, 0.82%0.28%(+0.54)#490.43%(+0.40)#4,076
50.02116, 0.82%0.28%(+0.54)#500.43%(+0.40)#4,093
51.01354, 0.81%0.28%(+0.53)#510.43%(+0.39)#4,119
52.02021, 0.81%0.28%(+0.53)#520.43%(+0.39)#4,129
53.01057, 0.80%0.28%(+0.52)#530.43%(+0.38)#4,183
54.01607, 0.78%0.28%(+0.50)#540.43%(+0.36)#4,295
55.02210, 0.78%0.28%(+0.50)#550.43%(+0.36)#4,315
56.01235, 0.78%0.28%(+0.50)#560.43%(+0.35)#4,327
57.01341, 0.78%0.28%(+0.50)#570.43%(+0.35)#4,336
58.01740, 0.77%0.28%(+0.49)#580.43%(+0.35)#4,356
59.01908, 0.77%0.28%(+0.49)#590.43%(+0.35)#4,377
60.02446, 0.77%0.28%(+0.49)#600.43%(+0.34)#4,401
61.01366, 0.76%0.28%(+0.48)#610.43%(+0.33)#4,460
62.01270, 0.75%0.28%(+0.47)#620.43%(+0.33)#4,480
63.02670, 0.75%0.28%(+0.47)#630.43%(+0.33)#4,486
64.01982, 0.75%0.28%(+0.47)#640.43%(+0.32)#4,526
65.01039, 0.75%0.28%(+0.47)#650.43%(+0.32)#4,535
66.01515, 0.74%0.28%(+0.46)#660.43%(+0.31)#4,606
67.02067, 0.73%0.28%(+0.45)#670.43%(+0.31)#4,609
68.01340, 0.73%0.28%(+0.45)#680.43%(+0.31)#4,644
69.02459, 0.73%0.28%(+0.45)#690.43%(+0.30)#4,686
70.01521, 0.72%0.28%(+0.44)#700.43%(+0.30)#4,711
71.01464, 0.72%0.28%(+0.44)#710.43%(+0.30)#4,722
72.01027, 0.72%0.28%(+0.44)#720.43%(+0.29)#4,736
73.01342, 0.71%0.28%(+0.43)#730.43%(+0.29)#4,764
74.02476, 0.71%0.28%(+0.43)#740.43%(+0.29)#4,799
75.01730, 0.70%0.28%(+0.42)#750.43%(+0.28)#4,864
76.01060, 0.70%0.28%(+0.42)#760.43%(+0.28)#4,870
77.02114, 0.70%0.28%(+0.42)#770.43%(+0.27)#4,901
78.02215, 0.69%0.28%(+0.41)#780.43%(+0.27)#4,918
79.01945, 0.68%0.28%(+0.40)#790.43%(+0.25)#5,032
80.01370, 0.67%0.28%(+0.39)#800.43%(+0.25)#5,050
81.01255, 0.67%0.28%(+0.39)#810.43%(+0.25)#5,064
82.01226, 0.66%0.28%(+0.38)#820.43%(+0.24)#5,118
83.02642, 0.66%0.28%(+0.38)#830.43%(+0.23)#5,190
84.01068, 0.65%0.28%(+0.37)#840.43%(+0.23)#5,201
85.02048, 0.64%0.28%(+0.36)#850.43%(+0.22)#5,300
86.01373, 0.64%0.28%(+0.36)#860.43%(+0.21)#5,341
87.01081, 0.64%0.28%(+0.36)#870.43%(+0.21)#5,356
88.02054, 0.63%0.28%(+0.35)#880.43%(+0.21)#5,414
89.01701, 0.62%0.28%(+0.34)#890.43%(+0.19)#5,527
90.02066, 0.61%0.28%(+0.33)#900.43%(+0.19)#5,549
91.02493, 0.61%0.28%(+0.33)#910.43%(+0.19)#5,574
92.01772, 0.61%0.28%(+0.33)#920.43%(+0.18)#5,594
93.02090, 0.61%0.28%(+0.33)#930.43%(+0.18)#5,614
94.01032, 0.61%0.28%(+0.33)#940.43%(+0.18)#5,618
95.01720, 0.60%0.28%(+0.32)#950.43%(+0.18)#5,669
96.02139, 0.58%0.28%(+0.30)#960.43%(+0.16)#5,839
97.01966, 0.58%0.28%(+0.30)#970.43%(+0.16)#5,865
98.01462, 0.58%0.28%(+0.30)#980.43%(+0.15)#5,881
99.02461, 0.58%0.28%(+0.30)#990.43%(+0.15)#5,882
100.01862, 0.56%0.28%(+0.28)#1000.43%(+0.14)#6,027
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