Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio

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Highest Birth Rate | Below Poverty
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 Most Births per 1,000 Women Below Poverty Level in Ohio

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio

Zip Code Births / 1,000 Women vs State vs National
1.446191,000.056.0(+944)#153.0(+947)#34
2.43738714.056.0(+658)#253.0(+661)#85
3.43006583.056.0(+527)#353.0(+530)#134
4.43070545.056.0(+489)#453.0(+492)#148
5.44639514.056.0(+458)#553.0(+461)#162
6.45654513.056.0(+457)#653.0(+460)#163
7.45051443.056.0(+387)#753.0(+390)#221
8.43127422.056.0(+366)#853.0(+369)#231
9.44844377.056.0(+321)#953.0(+324)#289
10.45353375.056.0(+319)#1053.0(+322)#292
11.45332363.056.0(+307)#1153.0(+310)#318
12.43940333.056.0(+277)#1253.0(+280)#367
13.43973332.056.0(+276)#1353.0(+279)#388
14.44082326.056.0(+270)#1453.0(+273)#393
15.45821311.056.0(+255)#1553.0(+258)#423
16.45812299.056.0(+243)#1653.0(+246)#459
17.44699292.056.0(+236)#1753.0(+239)#477
18.45864286.056.0(+230)#1853.0(+233)#509
19.44625279.056.0(+223)#1953.0(+226)#529
20.44450276.056.0(+220)#2053.0(+223)#543
21.43747271.056.0(+215)#2153.0(+218)#559
22.45868253.056.0(+197)#2253.0(+200)#639
23.45330227.056.0(+171)#2353.0(+174)#790
24.44454225.056.0(+169)#2453.0(+172)#804
25.45770222.056.0(+166)#2553.0(+169)#820
26.43080221.056.0(+165)#2653.0(+168)#829
27.45131216.056.0(+160)#2753.0(+163)#857
28.43844212.056.0(+156)#2853.0(+159)#867
29.45204203.056.0(+147)#2953.0(+150)#942
30.44680200.056.0(+144)#3053.0(+147)#973
31.45826191.056.0(+135)#3153.0(+138)#1,088
32.43002190.056.0(+134)#3253.0(+137)#1,098
33.43749188.056.0(+132)#3353.0(+135)#1,116
34.43787187.056.0(+131)#3453.0(+134)#1,132
35.45156182.056.0(+126)#3553.0(+129)#1,202
36.44638180.056.0(+124)#3653.0(+127)#1,213
37.43345179.056.0(+123)#3753.0(+126)#1,229
38.43802177.056.0(+121)#3853.0(+124)#1,257
39.44633176.056.0(+120)#3953.0(+123)#1,262
40.45848176.056.0(+120)#4053.0(+123)#1,275
41.43533175.056.0(+119)#4153.0(+122)#1,281
42.45696173.056.0(+117)#4253.0(+120)#1,322
43.44675172.056.0(+116)#4353.0(+119)#1,332
44.43438167.056.0(+111)#4453.0(+114)#1,446
45.43416164.056.0(+108)#4553.0(+111)#1,484
46.45225162.056.0(+106)#4653.0(+109)#1,510
47.43910161.056.0(+105)#4753.0(+108)#1,532
48.44814159.056.0(+103)#4853.0(+106)#1,570
49.43824157.056.0(+101)#4953.0(+104)#1,612
50.44843155.056.0(+99.0)#5053.0(+102)#1,644
51.45232154.056.0(+98.0)#5153.0(+101)#1,657
52.43778153.056.0(+97.0)#5253.0(+100.0)#1,686
53.43014150.056.0(+94.0)#5353.0(+97.0)#1,742
54.44250150.056.0(+94.0)#5453.0(+97.0)#1,749
55.44417150.056.0(+94.0)#5553.0(+97.0)#1,750
56.45865146.056.0(+90.0)#5653.0(+93.0)#1,830
57.45828145.056.0(+89.0)#5753.0(+92.0)#1,853
58.43060145.056.0(+89.0)#5853.0(+92.0)#1,860
59.44404145.056.0(+89.0)#5953.0(+92.0)#1,862
60.44887144.056.0(+88.0)#6053.0(+91.0)#1,894
61.45001144.056.0(+88.0)#6153.0(+91.0)#1,895
62.43136143.056.0(+87.0)#6253.0(+90.0)#1,917
63.43962143.056.0(+87.0)#6353.0(+90.0)#1,938
64.43526140.056.0(+84.0)#6453.0(+87.0)#1,986
65.44847140.056.0(+84.0)#6553.0(+87.0)#1,989
66.45745140.056.0(+84.0)#6653.0(+87.0)#1,996
67.44880139.056.0(+83.0)#6753.0(+86.0)#2,023
68.44423136.056.0(+80.0)#6853.0(+83.0)#2,124
69.45342135.056.0(+79.0)#6953.0(+82.0)#2,144
70.44620135.056.0(+79.0)#7053.0(+82.0)#2,157
71.43463135.056.0(+79.0)#7153.0(+82.0)#2,175
72.44878134.056.0(+78.0)#7253.0(+81.0)#2,194
73.45321133.056.0(+77.0)#7353.0(+80.0)#2,234
74.45348133.056.0(+77.0)#7453.0(+80.0)#2,238
75.44050132.056.0(+76.0)#7553.0(+79.0)#2,254
76.45101131.056.0(+75.0)#7653.0(+78.0)#2,294
77.45326131.056.0(+75.0)#7753.0(+78.0)#2,299
78.45352128.056.0(+72.0)#7853.0(+75.0)#2,427
79.44052127.056.0(+71.0)#7953.0(+74.0)#2,430
80.43145127.056.0(+71.0)#8053.0(+74.0)#2,446
81.43318126.056.0(+70.0)#8153.0(+73.0)#2,484
82.45410125.056.0(+69.0)#8253.0(+72.0)#2,501
83.44618125.056.0(+69.0)#8353.0(+72.0)#2,509
84.44644125.056.0(+69.0)#8453.0(+72.0)#2,514
85.44640125.056.0(+69.0)#8553.0(+72.0)#2,548
86.44115123.056.0(+67.0)#8653.0(+70.0)#2,604
87.44003123.056.0(+67.0)#8753.0(+70.0)#2,609
88.45310123.056.0(+67.0)#8853.0(+70.0)#2,644
89.45876122.056.0(+66.0)#8953.0(+69.0)#2,674
90.44826121.056.0(+65.0)#9053.0(+68.0)#2,718
91.45362121.056.0(+65.0)#9153.0(+68.0)#2,719
92.43310119.056.0(+63.0)#9253.0(+66.0)#2,776
93.43739119.056.0(+63.0)#9353.0(+66.0)#2,777
94.45672118.056.0(+62.0)#9453.0(+65.0)#2,836
95.43156118.056.0(+62.0)#9553.0(+65.0)#2,861
96.44305117.056.0(+61.0)#9653.0(+64.0)#2,868
97.45308117.056.0(+61.0)#9753.0(+64.0)#2,882
98.45142117.056.0(+61.0)#9853.0(+64.0)#2,885
99.43322117.056.0(+61.0)#9953.0(+64.0)#2,909
100.44104116.056.0(+60.0)#10053.0(+63.0)#2,913

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio are:
#1
1,000.0
#2
714.0
#3
583.0
#4
545.0
#5
514.0
#6
513.0
#7
443.0
#8
422.0
#9
377.0
#10
375.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Ohio?
44619 has the Most Births per 1,000 Women Below Poverty Level in Ohio with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Ohio?
Number of Births per 1,000 Women Below Poverty Level in Ohio is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.