Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio

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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)
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
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
Ohio
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio

Zip Code Female Poverty vs State vs National
1.44510100.0%17.0%(+83.0)#114.5%(+85.5)#13
2.43341100.0%17.0%(+83.0)#214.5%(+85.5)#98
3.44699100.0%17.0%(+83.0)#314.5%(+85.5)#126
4.43547100.0%17.0%(+83.0)#414.5%(+85.5)#196
5.45630100.0%17.0%(+83.0)#514.5%(+85.5)#205
6.45164100.0%17.0%(+83.0)#614.5%(+85.5)#281
7.43127100.0%17.0%(+83.0)#714.5%(+85.5)#292
8.44850100.0%17.0%(+83.0)#814.5%(+85.5)#300
9.43027100.0%17.0%(+83.0)#914.5%(+85.5)#341
10.43541100.0%17.0%(+83.0)#1014.5%(+85.5)#352
11.43325100.0%17.0%(+83.0)#1114.5%(+85.5)#435
12.45147100.0%17.0%(+83.0)#1214.5%(+85.5)#441
13.45156100.0%17.0%(+83.0)#1314.5%(+85.5)#454
14.4507085.0%17.0%(+68.0)#1414.5%(+70.5)#554
15.4314484.6%17.0%(+67.6)#1514.5%(+70.1)#558
16.4578280.6%17.0%(+63.7)#1614.5%(+66.2)#602
17.4523277.1%17.0%(+60.1)#1714.5%(+62.6)#645
18.4398573.3%17.0%(+56.4)#1814.5%(+58.8)#711
19.4470271.9%17.0%(+54.9)#1914.5%(+57.4)#737
20.4431168.5%17.0%(+51.5)#2014.5%(+54.0)#821
21.4360467.1%17.0%(+50.2)#2114.5%(+52.6)#854
22.4469766.7%17.0%(+49.7)#2214.5%(+52.2)#889
23.4522566.5%17.0%(+49.5)#2314.5%(+52.0)#905
24.4343263.6%17.0%(+46.7)#2414.5%(+49.1)#966
25.4567162.5%17.0%(+45.5)#2514.5%(+48.0)#1,012
26.4392662.5%17.0%(+45.5)#2614.5%(+48.0)#1,020
27.4448561.8%17.0%(+44.9)#2714.5%(+47.4)#1,041
28.4440461.3%17.0%(+44.4)#2814.5%(+46.8)#1,061
29.4565260.0%17.0%(+43.0)#2914.5%(+45.5)#1,093
30.4343460.0%17.0%(+43.0)#3014.5%(+45.5)#1,117
31.4333060.0%17.0%(+43.0)#3114.5%(+45.5)#1,122
32.4450759.9%17.0%(+42.9)#3214.5%(+45.4)#1,124
33.4465659.6%17.0%(+42.6)#3314.5%(+45.1)#1,135
34.4450659.4%17.0%(+42.4)#3414.5%(+44.9)#1,143
35.4411559.4%17.0%(+42.4)#3514.5%(+44.9)#1,147
36.4410459.4%17.0%(+42.4)#3614.5%(+44.9)#1,148
37.4450259.2%17.0%(+42.3)#3714.5%(+44.7)#1,154
38.4581258.2%17.0%(+41.3)#3814.5%(+43.7)#1,195
39.4360558.0%17.0%(+41.0)#3914.5%(+43.5)#1,212
40.4374057.1%17.0%(+40.2)#4014.5%(+42.6)#1,238
41.4562955.9%17.0%(+39.0)#4114.5%(+41.4)#1,287
42.4540455.3%17.0%(+38.4)#4214.5%(+40.8)#1,323
43.4533355.3%17.0%(+38.3)#4314.5%(+40.8)#1,327
44.4576155.2%17.0%(+38.2)#4414.5%(+40.7)#1,330
45.4577855.1%17.0%(+38.1)#4514.5%(+40.6)#1,334
46.4469554.5%17.0%(+37.6)#4614.5%(+40.1)#1,356
47.4535854.5%17.0%(+37.6)#4714.5%(+40.1)#1,368
48.4535353.8%17.0%(+36.9)#4814.5%(+39.4)#1,413
49.4531653.8%17.0%(+36.9)#4914.5%(+39.4)#1,414
50.4360853.6%17.0%(+36.6)#5014.5%(+39.1)#1,424
51.4450453.4%17.0%(+36.5)#5114.5%(+39.0)#1,432
52.4541653.2%17.0%(+36.3)#5214.5%(+38.7)#1,448
53.4334853.2%17.0%(+36.2)#5314.5%(+38.7)#1,450
54.4463753.2%17.0%(+36.2)#5414.5%(+38.7)#1,451
55.4571952.3%17.0%(+35.3)#5514.5%(+37.8)#1,496
56.4470450.5%17.0%(+33.5)#5614.5%(+36.0)#1,592
57.4464350.0%17.0%(+33.0)#5714.5%(+35.5)#1,603
58.4394650.0%17.0%(+33.0)#5814.5%(+35.5)#1,613
59.4341350.0%17.0%(+33.0)#5914.5%(+35.5)#1,626
60.4404550.0%17.0%(+33.0)#6014.5%(+35.5)#1,637
61.4577350.0%17.0%(+33.0)#6114.5%(+35.5)#1,650
62.4586650.0%17.0%(+33.0)#6214.5%(+35.5)#1,698
63.4354348.9%17.0%(+31.9)#6314.5%(+34.4)#1,754
64.4463447.8%17.0%(+30.8)#6414.5%(+33.3)#1,837
65.4443047.7%17.0%(+30.7)#6514.5%(+33.2)#1,844
66.4441747.6%17.0%(+30.6)#6614.5%(+33.1)#1,852
67.4352947.6%17.0%(+30.6)#6714.5%(+33.1)#1,857
68.4521447.6%17.0%(+30.6)#6814.5%(+33.1)#1,861
69.4360747.5%17.0%(+30.6)#6914.5%(+33.1)#1,862
70.4586347.3%17.0%(+30.3)#7014.5%(+32.8)#1,892
71.4394547.0%17.0%(+30.0)#7114.5%(+32.5)#1,917
72.4470546.7%17.0%(+29.7)#7214.5%(+32.2)#1,935
73.4375846.5%17.0%(+29.5)#7314.5%(+32.0)#1,951
74.4578046.5%17.0%(+29.5)#7414.5%(+32.0)#1,952
75.4377746.2%17.0%(+29.2)#7514.5%(+31.7)#1,974
76.4510145.9%17.0%(+29.0)#7614.5%(+31.5)#2,003
77.4321145.6%17.0%(+28.6)#7714.5%(+31.1)#2,029
78.4561645.5%17.0%(+28.5)#7814.5%(+31.0)#2,038
79.4312645.2%17.0%(+28.2)#7914.5%(+30.7)#2,086
80.4561345.0%17.0%(+28.1)#8014.5%(+30.5)#2,102
81.4376845.0%17.0%(+28.0)#8114.5%(+30.5)#2,110
82.4401044.8%17.0%(+27.8)#8214.5%(+30.3)#2,138
83.4378244.4%17.0%(+27.5)#8314.5%(+30.0)#2,172
84.4571644.4%17.0%(+27.5)#8414.5%(+30.0)#2,174
85.4331744.4%17.0%(+27.5)#8514.5%(+30.0)#2,181
86.4312844.2%17.0%(+27.3)#8614.5%(+29.8)#2,194
87.4540344.1%17.0%(+27.2)#8714.5%(+29.7)#2,206
88.4410844.1%17.0%(+27.2)#8814.5%(+29.6)#2,208
89.4576744.1%17.0%(+27.1)#8914.5%(+29.6)#2,212
90.4520543.5%17.0%(+26.5)#9014.5%(+29.0)#2,272
91.4315243.1%17.0%(+26.1)#9114.5%(+28.6)#2,302
92.4372443.0%17.0%(+26.0)#9214.5%(+28.5)#2,309
93.4450942.4%17.0%(+25.4)#9314.5%(+27.9)#2,384
94.4428842.4%17.0%(+25.4)#9414.5%(+27.9)#2,387
95.4522942.0%17.0%(+25.0)#9514.5%(+27.5)#2,437
96.4465241.9%17.0%(+24.9)#9614.5%(+27.4)#2,450
97.4410541.9%17.0%(+24.9)#9714.5%(+27.4)#2,451
98.4520441.8%17.0%(+24.9)#9814.5%(+27.4)#2,456
99.4430641.4%17.0%(+24.4)#9914.5%(+26.9)#2,513
100.4350641.2%17.0%(+24.2)#10014.5%(+26.7)#2,536

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio?
44510 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Ohio with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of 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%.