Zip Codes with the Youngest Male Population in Madison, WI
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Youngest Population | Male
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 SizeMost Single FathersMost Single MothersFewest Single FathersFewest Single MothersSmallest Family SizeSmallest Household Size
Female Fertility
Highest Birth Rate | All WomenHighest 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 35+Lowest Birth Rate | Below PovertyLowest Birth Rate | Public IncomeLowest Birth Rate | In Labor Force
Female Fertility (Unmarried)
Highest Illegitimacy | All WomenHighest Illegitimacy | Women 35+Lowest Illegitimacy | All WomenLowest Illegitimacy | Women 35+
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBelgianBelizeanBhutaneseBolivianBrazilianBritishBulgarianBurmeseCajunCambodianCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMenomineeMexicanMexican American IndianMongolianNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranScandinavianScotch-IrishScottishSenegaleseSerbianSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTurkishUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBelgianBelizeanBhutaneseBolivianBrazilianBritishBulgarianBurmeseCajunCambodianCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMenomineeMexicanMexican American IndianMongolianNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranScandinavianScotch-IrishScottishSenegaleseSerbianSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTurkishUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCanadaCaribbeanCentral AmericaChileChinaColombiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTurkeyUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCanadaCaribbeanCentral AmericaChileChinaColombiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTurkeyUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
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
Occupancy
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
Madison
States
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Wisconsin Cities
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Map of Zip Codes with the Youngest Male Population in Madison
44.0
18.9
Zip Codes with the Youngest Male Population in Madison, WI
| Zip Code | Median Age | vs State | vs National | |
| 1. | 53706 | 18.9 | 39.0 (-20.1)#2 | 37.4 (-18.5)#290 |
| 2. | 53715 | 21.6 | 39.0 (-17.4)#3 | 37.4 (-15.8)#770 |
| 3. | 53726 | 25.1 | 39.0 (-13.9)#9 | 37.4 (-12.3)#1,309 |
| 4. | 53703 | 25.5 | 39.0 (-13.5)#12 | 37.4 (-11.9)#1,356 |
| 5. | 53713 | 29.8 | 39.0 (-9.20)#25 | 37.4 (-7.60)#2,555 |
| 6. | 53719 | 33.2 | 39.0 (-5.80)#53 | 37.4 (-4.20)#4,865 |
| 7. | 53705 | 33.6 | 39.0 (-5.40)#58 | 37.4 (-3.80)#5,275 |
| 8. | 53704 | 34.2 | 39.0 (-4.80)#66 | 37.4 (-3.20)#5,832 |
| 9. | 53718 | 36.2 | 39.0 (-2.80)#98 | 37.4 (-1.20)#8,527 |
| 10. | 53711 | 36.3 | 39.0 (-2.70)#101 | 37.4 (-1.10)#8,616 |
| 11. | 53717 | 39.9 | 39.0 (+0.900)#238 | 37.4 (+2.50)#14,626 |
| 12. | 53714 | 41.7 | 39.0 (+2.70)#327 | 37.4 (+4.30)#17,515 |
| 13. | 53716 | 44.0 | 39.0 (+5.00)#424 | 37.4 (+6.60)#20,790 |
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Common Questions
What are the Top 10 Zip Codes with the Youngest Male Population in Madison, WI?
Top 10 Zip Codes with the Youngest Male Population in Madison, WI are:
What zip code has the Youngest Male Population in Madison, WI?
53706 has the Youngest Male Population in Madison, WI with 18.9.
What is the Median Male Age in Madison, WI?
Median Male Age in Madison is 31.1.
What is the Median Male Age in Wisconsin?
Median Male Age in Wisconsin is 39.0.
What is the Median Male Age in the United States?
Median Male Age in the United States is 37.4.