Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH

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Highest Poverty | Female 25-34
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 25 and 34 in Dayton

5.3%
55.3%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH

Zip Code Female Poverty vs State vs National
1.4540455.3%17.0%(+38.4)#4214.5%(+40.8)#1,323
2.4541653.2%17.0%(+36.3)#5214.5%(+38.7)#1,448
3.4540344.1%17.0%(+27.2)#8714.5%(+29.7)#2,206
4.4541741.0%17.0%(+24.0)#10214.5%(+26.5)#2,559
5.4540640.9%17.0%(+23.9)#10314.5%(+26.4)#2,562
6.4542637.1%17.0%(+20.1)#12814.5%(+22.6)#3,152
7.4541036.5%17.0%(+19.5)#13314.5%(+22.0)#3,246
8.4541435.1%17.0%(+18.1)#15414.5%(+20.6)#3,547
9.4541529.9%17.0%(+12.9)#20414.5%(+15.4)#4,731
10.4543928.6%17.0%(+11.7)#22114.5%(+14.2)#5,117
11.4540523.5%17.0%(+6.56)#29214.5%(+9.04)#7,004
12.4540221.4%17.0%(+4.44)#33914.5%(+6.93)#7,993
13.4540919.7%17.0%(+2.73)#37714.5%(+5.21)#8,936
14.4542019.5%17.0%(+2.51)#38414.5%(+4.99)#9,071
15.4545815.0%17.0%(-2.01)#50214.5%(+0.477)#12,027
16.4543214.7%17.0%(-2.29)#51114.5%(+0.190)#12,217
17.4544914.4%17.0%(-2.55)#51814.5%(-0.070)#12,386
18.4543112.7%17.0%(-4.29)#56014.5%(-1.80)#13,725
19.454299.2%17.0%(-7.76)#66714.5%(-5.27)#16,725
20.454198.2%17.0%(-8.75)#70014.5%(-6.26)#17,623
21.454306.8%17.0%(-10.2)#76714.5%(-7.67)#18,925
22.454246.8%17.0%(-10.2)#76914.5%(-7.69)#18,949
23.454596.5%17.0%(-10.5)#77814.5%(-8.01)#19,236
24.454405.3%17.0%(-11.6)#81614.5%(-9.15)#20,267

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH are:
#1
55.3%
#2
53.2%
#3
44.1%
#4
41.0%
#5
40.9%
#6
37.1%
#7
36.5%
#8
35.1%
#9
29.9%
#10
28.6%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH?
45404 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH with 55.3%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Dayton, OH?
Poverty Level Among Females Between Ages 25 and 34 in Dayton is 31.4%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Ohio?
Poverty Level Among Females Between Ages 25 and 34 in Ohio is 17.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.