Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH

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Highest Poverty | Female 18-24
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Ancestry (Percentage)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Immigrant Origin (Percentage)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Dayton
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH

Zip Code Female Poverty vs State vs National
1.45469100.0%23.5%(+76.5)#1221.6%(+78.4)#532
2.4541462.2%23.5%(+38.7)#5421.6%(+40.6)#1,617
3.4540959.0%23.5%(+35.5)#6521.6%(+37.4)#1,802
4.4541745.5%23.5%(+22.0)#11521.6%(+23.9)#3,103
5.4540444.4%23.5%(+21.0)#12221.6%(+22.8)#3,230
6.4543343.2%23.5%(+19.7)#13121.6%(+21.6)#3,431
7.4541042.3%23.5%(+18.9)#13521.6%(+20.7)#3,558
8.4540237.6%23.5%(+14.1)#17121.6%(+16.0)#4,388
9.4543237.4%23.5%(+13.9)#17421.6%(+15.8)#4,455
10.4542630.3%23.5%(+6.88)#24321.6%(+8.74)#6,145
11.4541929.1%23.5%(+5.63)#25921.6%(+7.49)#6,539
12.4543428.8%23.5%(+5.33)#26421.6%(+7.19)#6,635
13.4544927.9%23.5%(+4.49)#27921.6%(+6.35)#6,945
14.4545825.1%23.5%(+1.64)#32821.6%(+3.50)#7,929
15.4542920.8%23.5%(-2.67)#39621.6%(-0.807)#9,820
16.4540319.8%23.5%(-3.65)#41521.6%(-1.78)#10,292
17.4540519.6%23.5%(-3.83)#42021.6%(-1.97)#10,366
18.4543119.3%23.5%(-4.13)#42421.6%(-2.27)#10,527
19.4545919.2%23.5%(-4.22)#42521.6%(-2.36)#10,561
20.4541618.6%23.5%(-4.82)#44021.6%(-2.96)#10,881
21.4542413.4%23.5%(-10.1)#54221.6%(-8.19)#13,822
22.4544011.9%23.5%(-11.6)#57521.6%(-9.69)#14,714
23.4540611.6%23.5%(-11.9)#57921.6%(-9.99)#14,915
24.4542010.7%23.5%(-12.7)#59221.6%(-10.9)#15,435
25.454159.6%23.5%(-13.9)#62621.6%(-12.0)#16,191
26.454397.0%23.5%(-16.4)#68121.6%(-14.6)#17,863

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH are:
#1
100.0%
#2
62.2%
#3
59.0%
#4
45.5%
#5
44.4%
#6
43.2%
#7
42.3%
#8
37.6%
#9
37.4%
#10
30.3%
What zip code has the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH?
45469 has the Highest Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH with 100.0%.
What is the Poverty Level Among Females Between Ages 18 and 24 in Dayton, OH?
Poverty Level Among Females Between Ages 18 and 24 in Dayton is 41.0%.
What is the Poverty Level Among Females Between Ages 18 and 24 in Ohio?
Poverty Level Among Females Between Ages 18 and 24 in Ohio is 23.5%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the United States?
Poverty Level Among Females Between Ages 18 and 24 in the United States is 21.6%.