Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ohio

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Highest Birth Rate | Women 35+
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 Over the Age of 35 in Ohio

0.0
600.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ohio Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ohio

Zip Code Births / 1,000 Women vs State vs National
1.44844579.027.0(+552)#132.0(+547)#69
2.44699514.027.0(+487)#232.0(+482)#84
3.43006500.027.0(+473)#332.0(+468)#91
4.44450379.027.0(+352)#432.0(+347)#144
5.44880289.027.0(+262)#532.0(+257)#241
6.45326273.027.0(+246)#632.0(+241)#264
7.43555273.027.0(+246)#732.0(+241)#269
8.45821270.027.0(+243)#832.0(+238)#277
9.45204251.027.0(+224)#932.0(+219)#308
10.45672245.027.0(+218)#1032.0(+213)#335
11.43438222.027.0(+195)#1132.0(+190)#397
12.43156211.027.0(+184)#1232.0(+179)#431
13.44814209.027.0(+182)#1332.0(+177)#436
14.43153190.027.0(+163)#1432.0(+158)#529
15.43136181.027.0(+154)#1532.0(+149)#567
16.45226178.027.0(+151)#1632.0(+146)#584
17.43739178.027.0(+151)#1732.0(+146)#586
18.44276165.027.0(+138)#1832.0(+133)#691
19.45307156.027.0(+129)#1932.0(+124)#762
20.43145149.027.0(+122)#2032.0(+117)#817
21.45779134.027.0(+107)#2132.0(+102)#973
22.44689133.027.0(+106)#2232.0(+101)#986
23.43973129.027.0(+102)#2332.0(+97.0)#1,036
24.43080125.027.0(+98.0)#2432.0(+93.0)#1,090
25.43137121.027.0(+94.0)#2532.0(+89.0)#1,146
26.45620120.027.0(+93.0)#2632.0(+88.0)#1,166
27.45865118.027.0(+91.0)#2732.0(+86.0)#1,187
28.45876116.027.0(+89.0)#2832.0(+84.0)#1,236
29.45861115.027.0(+88.0)#2932.0(+83.0)#1,250
30.45314111.027.0(+84.0)#3032.0(+79.0)#1,307
31.43771106.027.0(+79.0)#3132.0(+74.0)#1,398
32.45856105.027.0(+78.0)#3232.0(+73.0)#1,413
33.43318105.027.0(+78.0)#3332.0(+73.0)#1,416
34.45064103.027.0(+76.0)#3432.0(+71.0)#1,468
35.45362103.027.0(+76.0)#3532.0(+71.0)#1,474
36.4517496.027.0(+69.0)#3632.0(+64.0)#1,664
37.4308595.027.0(+68.0)#3732.0(+63.0)#1,675
38.4346095.027.0(+68.0)#3832.0(+63.0)#1,681
39.4350293.027.0(+66.0)#3932.0(+61.0)#1,738
40.4341292.027.0(+65.0)#4032.0(+60.0)#1,772
41.4465491.027.0(+64.0)#4132.0(+59.0)#1,798
42.4397491.027.0(+64.0)#4232.0(+59.0)#1,834
43.4440190.027.0(+63.0)#4332.0(+58.0)#1,846
44.4505089.027.0(+62.0)#4432.0(+57.0)#1,860
45.4481889.027.0(+62.0)#4532.0(+57.0)#1,879
46.4302388.027.0(+61.0)#4632.0(+56.0)#1,893
47.4462488.027.0(+61.0)#4732.0(+56.0)#1,902
48.4489085.027.0(+58.0)#4832.0(+53.0)#2,014
49.4394384.027.0(+57.0)#4932.0(+52.0)#2,069
50.4444383.027.0(+56.0)#5032.0(+51.0)#2,103
51.4444983.027.0(+56.0)#5132.0(+51.0)#2,107
52.4306181.027.0(+54.0)#5232.0(+49.0)#2,194
53.4408481.027.0(+54.0)#5332.0(+49.0)#2,196
54.4443980.027.0(+53.0)#5432.0(+48.0)#2,258
55.4405278.027.0(+51.0)#5532.0(+46.0)#2,318
56.4530878.027.0(+51.0)#5632.0(+46.0)#2,333
57.4352876.027.0(+49.0)#5732.0(+44.0)#2,424
58.4540976.027.0(+49.0)#5832.0(+44.0)#2,427
59.4427276.027.0(+49.0)#5932.0(+44.0)#2,441
60.4321275.027.0(+48.0)#6032.0(+43.0)#2,466
61.4395075.027.0(+48.0)#6132.0(+43.0)#2,476
62.4345175.027.0(+48.0)#6232.0(+43.0)#2,515
63.4305074.027.0(+47.0)#6332.0(+42.0)#2,528
64.4501574.027.0(+47.0)#6432.0(+42.0)#2,540
65.4398873.027.0(+46.0)#6532.0(+41.0)#2,638
66.4350473.027.0(+46.0)#6632.0(+41.0)#2,652
67.4400372.027.0(+45.0)#6732.0(+40.0)#2,699
68.4346472.027.0(+45.0)#6832.0(+40.0)#2,703
69.4470371.027.0(+44.0)#6932.0(+39.0)#2,739
70.4352671.027.0(+44.0)#7032.0(+39.0)#2,747
71.4532371.027.0(+44.0)#7132.0(+39.0)#2,748
72.4356670.027.0(+43.0)#7232.0(+38.0)#2,816
73.4428770.027.0(+43.0)#7332.0(+38.0)#2,818
74.4467670.027.0(+43.0)#7432.0(+38.0)#2,824
75.4481770.027.0(+43.0)#7532.0(+38.0)#2,845
76.4410669.027.0(+42.0)#7632.0(+37.0)#2,874
77.4307469.027.0(+42.0)#7732.0(+37.0)#2,884
78.4391269.027.0(+42.0)#7832.0(+37.0)#2,899
79.4384069.027.0(+42.0)#7932.0(+37.0)#2,914
80.4523968.027.0(+41.0)#8032.0(+36.0)#2,933
81.4307767.027.0(+40.0)#8132.0(+35.0)#3,086
82.4323266.027.0(+39.0)#8232.0(+34.0)#3,093
83.4464166.027.0(+39.0)#8332.0(+34.0)#3,112
84.4405666.027.0(+39.0)#8432.0(+34.0)#3,122
85.4352166.027.0(+39.0)#8532.0(+34.0)#3,150
86.4401165.027.0(+38.0)#8632.0(+33.0)#3,187
87.4521965.027.0(+38.0)#8732.0(+33.0)#3,195
88.4536365.027.0(+38.0)#8832.0(+33.0)#3,247
89.4503964.027.0(+37.0)#8932.0(+32.0)#3,288
90.4451463.027.0(+36.0)#9032.0(+31.0)#3,373
91.4564063.027.0(+36.0)#9132.0(+31.0)#3,384
92.4408963.027.0(+36.0)#9232.0(+31.0)#3,385
93.4524963.027.0(+36.0)#9332.0(+31.0)#3,387
94.4411563.027.0(+36.0)#9432.0(+31.0)#3,392
95.4334263.027.0(+36.0)#9532.0(+31.0)#3,416
96.4413762.027.0(+35.0)#9632.0(+30.0)#3,471
97.4333862.027.0(+35.0)#9732.0(+30.0)#3,494
98.4305461.027.0(+34.0)#9832.0(+29.0)#3,563
99.4441061.027.0(+34.0)#9932.0(+29.0)#3,588
100.4543061.027.0(+34.0)#10032.0(+29.0)#3,604

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ohio?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ohio are:
#1
579.0
#2
514.0
#3
500.0
#4
379.0
#5
289.0
#6
273.0
#7
273.0
#8
270.0
#9
251.0
#10
245.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Ohio?
44844 has the Most Births per 1,000 Women Over the Age of 35 in Ohio with 579.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Ohio?
Number of Births per 1,000 Women Over the Age of 35 in Ohio is 27.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.