Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio [ 901 - 1,000 ]

RELATED REPORTS & OPTIONS

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

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
901.4531120.056.0(-36.0)#90153.0(-33.0)#23,106
902.4444220.056.0(-36.0)#90253.0(-33.0)#23,133
903.4423420.056.0(-36.0)#90353.0(-33.0)#23,134
904.4461120.056.0(-36.0)#90453.0(-33.0)#23,167
905.4390320.056.0(-36.0)#90553.0(-33.0)#23,168
906.4398620.056.0(-36.0)#90653.0(-33.0)#23,182
907.4353420.056.0(-36.0)#90753.0(-33.0)#23,194
908.4425120.056.0(-36.0)#90853.0(-33.0)#23,213
909.4332120.056.0(-36.0)#90953.0(-33.0)#23,246
910.4423119.056.0(-37.0)#91053.0(-34.0)#23,317
911.4431119.056.0(-37.0)#91153.0(-34.0)#23,325
912.4346919.056.0(-37.0)#91253.0(-34.0)#23,375
913.4534619.056.0(-37.0)#91353.0(-34.0)#23,385
914.4441119.056.0(-37.0)#91453.0(-34.0)#23,386
915.4588119.056.0(-37.0)#91553.0(-34.0)#23,410
916.4462819.056.0(-37.0)#91653.0(-34.0)#23,414
917.4431418.056.0(-38.0)#91753.0(-35.0)#23,472
918.4430418.056.0(-38.0)#91853.0(-35.0)#23,540
919.4403218.056.0(-38.0)#91953.0(-35.0)#23,591
920.4398118.056.0(-38.0)#92053.0(-35.0)#23,629
921.4541517.056.0(-39.0)#92153.0(-36.0)#23,661
922.4450417.056.0(-39.0)#92253.0(-36.0)#23,695
923.4442817.056.0(-39.0)#92353.0(-36.0)#23,720
924.4468217.056.0(-39.0)#92453.0(-36.0)#23,762
925.4536117.056.0(-39.0)#92553.0(-36.0)#23,788
926.4335017.056.0(-39.0)#92653.0(-36.0)#23,794
927.4411716.056.0(-40.0)#92753.0(-37.0)#23,831
928.4444516.056.0(-40.0)#92853.0(-37.0)#23,883
929.4578616.056.0(-40.0)#92953.0(-37.0)#23,890
930.4377216.056.0(-40.0)#93053.0(-37.0)#23,911
931.4391316.056.0(-40.0)#93153.0(-37.0)#23,935
932.4570115.056.0(-41.0)#93253.0(-38.0)#23,972
933.4521915.056.0(-41.0)#93353.0(-38.0)#23,987
934.4462215.056.0(-41.0)#93453.0(-38.0)#23,989
935.4513515.056.0(-41.0)#93553.0(-38.0)#24,033
936.4407215.056.0(-41.0)#93653.0(-38.0)#24,037
937.4352215.056.0(-41.0)#93753.0(-38.0)#24,049
938.4537015.056.0(-41.0)#93853.0(-38.0)#24,071
939.4315515.056.0(-41.0)#93953.0(-38.0)#24,083
940.4515315.056.0(-41.0)#94053.0(-38.0)#24,084
941.4341315.056.0(-41.0)#94153.0(-38.0)#24,132
942.4303315.056.0(-41.0)#94253.0(-38.0)#24,151
943.4405714.056.0(-42.0)#94353.0(-39.0)#24,173
944.4522914.056.0(-42.0)#94453.0(-39.0)#24,182
945.4569714.056.0(-42.0)#94553.0(-39.0)#24,208
946.4488214.056.0(-42.0)#94653.0(-39.0)#24,247
947.4354914.056.0(-42.0)#94753.0(-39.0)#24,278
948.4334314.056.0(-42.0)#94853.0(-39.0)#24,289
949.4535814.056.0(-42.0)#94953.0(-39.0)#24,314
950.4374014.056.0(-42.0)#95053.0(-39.0)#24,319
951.4440613.056.0(-43.0)#95153.0(-40.0)#24,323
952.4443813.056.0(-43.0)#95253.0(-40.0)#24,376
953.4505213.056.0(-43.0)#95353.0(-40.0)#24,386
954.4584113.056.0(-43.0)#95453.0(-40.0)#24,446
955.4506812.056.0(-44.0)#95553.0(-41.0)#24,488
956.4520612.056.0(-44.0)#95653.0(-41.0)#24,492
957.4440812.056.0(-44.0)#95753.0(-41.0)#24,494
958.4569312.056.0(-44.0)#95853.0(-41.0)#24,498
959.4445512.056.0(-44.0)#95953.0(-41.0)#24,564
960.4538912.056.0(-44.0)#96053.0(-41.0)#24,596
961.4320111.056.0(-45.0)#96153.0(-42.0)#24,613
962.4313511.056.0(-45.0)#96253.0(-42.0)#24,668
963.4304511.056.0(-45.0)#96353.0(-42.0)#24,690
964.4480411.056.0(-45.0)#96453.0(-42.0)#24,698
965.4375511.056.0(-45.0)#96553.0(-42.0)#24,704
966.4589411.056.0(-45.0)#96653.0(-42.0)#24,730
967.4505610.056.0(-46.0)#96753.0(-43.0)#24,744
968.4336010.056.0(-46.0)#96853.0(-43.0)#24,814
969.4314410.056.0(-46.0)#96953.0(-43.0)#24,854
970.4345810.056.0(-46.0)#97053.0(-43.0)#24,859
971.437249.056.0(-47.0)#97153.0(-44.0)#24,882
972.451189.056.0(-47.0)#97253.0(-44.0)#24,908
973.454339.056.0(-47.0)#97353.0(-44.0)#24,943
974.437669.056.0(-47.0)#97453.0(-44.0)#24,954
975.430849.056.0(-47.0)#97553.0(-44.0)#24,970
976.450678.056.0(-48.0)#97653.0(-45.0)#24,998
977.458458.056.0(-48.0)#97753.0(-45.0)#25,030
978.437288.056.0(-48.0)#97853.0(-45.0)#25,058
979.432157.056.0(-49.0)#97953.0(-46.0)#25,093
980.437737.056.0(-49.0)#98053.0(-46.0)#25,125
981.437197.056.0(-49.0)#98153.0(-46.0)#25,131
982.453827.056.0(-49.0)#98253.0(-46.0)#25,150
983.457696.056.0(-50.0)#98353.0(-47.0)#25,182
984.438456.056.0(-50.0)#98453.0(-47.0)#25,185
985.441276.056.0(-50.0)#98553.0(-47.0)#25,188
986.456856.056.0(-50.0)#98653.0(-47.0)#25,215
987.439535.056.0(-51.0)#98753.0(-48.0)#25,246
988.437565.056.0(-51.0)#98853.0(-48.0)#25,257
989.437545.056.0(-51.0)#98953.0(-48.0)#25,290
990.452204.056.0(-52.0)#99053.0(-49.0)#25,311
991.456134.056.0(-52.0)#99153.0(-49.0)#25,345
992.451624.056.0(-52.0)#99253.0(-49.0)#25,348
993.430714.056.0(-52.0)#99353.0(-49.0)#25,351
994.433564.056.0(-52.0)#99453.0(-49.0)#25,358
995.456923.056.0(-53.0)#99553.0(-50.0)#25,368
996.457233.056.0(-53.0)#99653.0(-50.0)#25,381
997.456233.056.0(-53.0)#99753.0(-50.0)#25,382
998.435322.056.0(-54.0)#99853.0(-51.0)#25,424
999.433402.056.0(-54.0)#99953.0(-51.0)#25,434
1,000.441141.056.0(-55.0)#1,00053.0(-52.0)#25,439