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

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Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in Ohio

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

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

Zip Code Births / 1,000 Women vs State vs National
1.441141.056.0(-55.0)#153.0(-52.0)#3
2.435322.056.0(-54.0)#253.0(-51.0)#28
3.433402.056.0(-54.0)#353.0(-51.0)#38
4.456923.056.0(-53.0)#453.0(-50.0)#48
5.457233.056.0(-53.0)#553.0(-50.0)#61
6.456233.056.0(-53.0)#653.0(-50.0)#62
7.452204.056.0(-52.0)#753.0(-49.0)#85
8.456134.056.0(-52.0)#853.0(-49.0)#119
9.451624.056.0(-52.0)#953.0(-49.0)#122
10.430714.056.0(-52.0)#1053.0(-49.0)#125
11.433564.056.0(-52.0)#1153.0(-49.0)#132
12.439535.056.0(-51.0)#1253.0(-48.0)#143
13.437565.056.0(-51.0)#1353.0(-48.0)#154
14.437545.056.0(-51.0)#1453.0(-48.0)#187
15.457696.056.0(-50.0)#1553.0(-47.0)#224
16.438456.056.0(-50.0)#1653.0(-47.0)#227
17.441276.056.0(-50.0)#1753.0(-47.0)#230
18.456856.056.0(-50.0)#1853.0(-47.0)#257
19.432157.056.0(-49.0)#1953.0(-46.0)#283
20.437737.056.0(-49.0)#2053.0(-46.0)#315
21.437197.056.0(-49.0)#2153.0(-46.0)#321
22.453827.056.0(-49.0)#2253.0(-46.0)#340
23.450678.056.0(-48.0)#2353.0(-45.0)#363
24.458458.056.0(-48.0)#2453.0(-45.0)#395
25.437288.056.0(-48.0)#2553.0(-45.0)#423
26.437249.056.0(-47.0)#2653.0(-44.0)#475
27.451189.056.0(-47.0)#2753.0(-44.0)#501
28.454339.056.0(-47.0)#2853.0(-44.0)#536
29.437669.056.0(-47.0)#2953.0(-44.0)#547
30.430849.056.0(-47.0)#3053.0(-44.0)#563
31.4505610.056.0(-46.0)#3153.0(-43.0)#585
32.4336010.056.0(-46.0)#3253.0(-43.0)#655
33.4314410.056.0(-46.0)#3353.0(-43.0)#695
34.4345810.056.0(-46.0)#3453.0(-43.0)#700
35.4320111.056.0(-45.0)#3553.0(-42.0)#705
36.4313511.056.0(-45.0)#3653.0(-42.0)#760
37.4304511.056.0(-45.0)#3753.0(-42.0)#782
38.4480411.056.0(-45.0)#3853.0(-42.0)#790
39.4375511.056.0(-45.0)#3953.0(-42.0)#796
40.4589411.056.0(-45.0)#4053.0(-42.0)#822
41.4506812.056.0(-44.0)#4153.0(-41.0)#853
42.4520612.056.0(-44.0)#4253.0(-41.0)#857
43.4440812.056.0(-44.0)#4353.0(-41.0)#859
44.4569312.056.0(-44.0)#4453.0(-41.0)#863
45.4445512.056.0(-44.0)#4553.0(-41.0)#929
46.4538912.056.0(-44.0)#4653.0(-41.0)#961
47.4440613.056.0(-43.0)#4753.0(-40.0)#979
48.4443813.056.0(-43.0)#4853.0(-40.0)#1,032
49.4505213.056.0(-43.0)#4953.0(-40.0)#1,042
50.4584113.056.0(-43.0)#5053.0(-40.0)#1,102
51.4405714.056.0(-42.0)#5153.0(-39.0)#1,137
52.4522914.056.0(-42.0)#5253.0(-39.0)#1,146
53.4569714.056.0(-42.0)#5353.0(-39.0)#1,172
54.4488214.056.0(-42.0)#5453.0(-39.0)#1,211
55.4354914.056.0(-42.0)#5553.0(-39.0)#1,242
56.4334314.056.0(-42.0)#5653.0(-39.0)#1,253
57.4535814.056.0(-42.0)#5753.0(-39.0)#1,278
58.4374014.056.0(-42.0)#5853.0(-39.0)#1,283
59.4570115.056.0(-41.0)#5953.0(-38.0)#1,286
60.4521915.056.0(-41.0)#6053.0(-38.0)#1,301
61.4462215.056.0(-41.0)#6153.0(-38.0)#1,303
62.4513515.056.0(-41.0)#6253.0(-38.0)#1,347
63.4407215.056.0(-41.0)#6353.0(-38.0)#1,351
64.4352215.056.0(-41.0)#6453.0(-38.0)#1,363
65.4537015.056.0(-41.0)#6553.0(-38.0)#1,385
66.4315515.056.0(-41.0)#6653.0(-38.0)#1,397
67.4515315.056.0(-41.0)#6753.0(-38.0)#1,398
68.4341315.056.0(-41.0)#6853.0(-38.0)#1,446
69.4303315.056.0(-41.0)#6953.0(-38.0)#1,465
70.4411716.056.0(-40.0)#7053.0(-37.0)#1,512
71.4444516.056.0(-40.0)#7153.0(-37.0)#1,564
72.4578616.056.0(-40.0)#7253.0(-37.0)#1,571
73.4377216.056.0(-40.0)#7353.0(-37.0)#1,592
74.4391316.056.0(-40.0)#7453.0(-37.0)#1,616
75.4541517.056.0(-39.0)#7553.0(-36.0)#1,682
76.4450417.056.0(-39.0)#7653.0(-36.0)#1,716
77.4442817.056.0(-39.0)#7753.0(-36.0)#1,741
78.4468217.056.0(-39.0)#7853.0(-36.0)#1,783
79.4536117.056.0(-39.0)#7953.0(-36.0)#1,809
80.4335017.056.0(-39.0)#8053.0(-36.0)#1,815
81.4431418.056.0(-38.0)#8153.0(-35.0)#1,839
82.4430418.056.0(-38.0)#8253.0(-35.0)#1,907
83.4403218.056.0(-38.0)#8353.0(-35.0)#1,958
84.4398118.056.0(-38.0)#8453.0(-35.0)#1,996
85.4423119.056.0(-37.0)#8553.0(-34.0)#2,062
86.4431119.056.0(-37.0)#8653.0(-34.0)#2,070
87.4346919.056.0(-37.0)#8753.0(-34.0)#2,120
88.4534619.056.0(-37.0)#8853.0(-34.0)#2,130
89.4441119.056.0(-37.0)#8953.0(-34.0)#2,131
90.4588119.056.0(-37.0)#9053.0(-34.0)#2,155
91.4462819.056.0(-37.0)#9153.0(-34.0)#2,159
92.4568020.056.0(-36.0)#9253.0(-33.0)#2,239
93.4531120.056.0(-36.0)#9353.0(-33.0)#2,277
94.4444220.056.0(-36.0)#9453.0(-33.0)#2,304
95.4423420.056.0(-36.0)#9553.0(-33.0)#2,305
96.4461120.056.0(-36.0)#9653.0(-33.0)#2,338
97.4390320.056.0(-36.0)#9753.0(-33.0)#2,339
98.4398620.056.0(-36.0)#9853.0(-33.0)#2,353
99.4353420.056.0(-36.0)#9953.0(-33.0)#2,365
100.4425120.056.0(-36.0)#10053.0(-33.0)#2,384

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio are:
#1
1.0
#2
2.0
#3
2.0
#4
3.0
#5
3.0
#6
3.0
#7
4.0
#8
4.0
#9
4.0
#10
4.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Ohio?
44114 has the Fewest Births per 1,000 Women Below Poverty Level in Ohio with 1.0.
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.