Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio [ 101 - 200 ]

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Highest Birth Rate | In Labor Force
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 in Labor Force in Ohio

Zip Code Births / 1,000 Women vs State vs National
101.43545115.051.0(+64.0)#10148.0(+67.0)#2,711
102.45883114.051.0(+63.0)#10248.0(+66.0)#2,759
103.45174114.051.0(+63.0)#10348.0(+66.0)#2,767
104.45827114.051.0(+63.0)#10448.0(+66.0)#2,769
105.45211113.051.0(+62.0)#10548.0(+65.0)#2,789
106.45416113.051.0(+62.0)#10648.0(+65.0)#2,802
107.45321112.051.0(+61.0)#10748.0(+64.0)#2,860
108.45342111.051.0(+60.0)#10848.0(+63.0)#2,867
109.43062111.051.0(+60.0)#10948.0(+63.0)#2,868
110.44730110.051.0(+59.0)#11048.0(+62.0)#2,955
111.44065110.051.0(+59.0)#11148.0(+62.0)#2,957
112.45334110.051.0(+59.0)#11248.0(+62.0)#2,969
113.43222109.051.0(+58.0)#11348.0(+61.0)#3,009
114.45064109.051.0(+58.0)#11448.0(+61.0)#3,014
115.43540108.051.0(+57.0)#11548.0(+60.0)#3,074
116.43451108.051.0(+57.0)#11648.0(+60.0)#3,079
117.43961108.051.0(+57.0)#11748.0(+60.0)#3,088
118.45873107.051.0(+56.0)#11848.0(+59.0)#3,123
119.45203106.051.0(+55.0)#11948.0(+58.0)#3,163
120.43734106.051.0(+55.0)#12048.0(+58.0)#3,167
121.43920105.051.0(+54.0)#12148.0(+57.0)#3,182
122.45430105.051.0(+54.0)#12248.0(+57.0)#3,199
123.45830105.051.0(+54.0)#12348.0(+57.0)#3,204
124.45002104.051.0(+53.0)#12448.0(+56.0)#3,251
125.45347104.051.0(+53.0)#12548.0(+56.0)#3,269
126.43106104.051.0(+53.0)#12648.0(+56.0)#3,284
127.45410103.051.0(+52.0)#12748.0(+55.0)#3,306
128.43431103.051.0(+52.0)#12848.0(+55.0)#3,329
129.45872103.051.0(+52.0)#12948.0(+55.0)#3,331
130.45148103.051.0(+52.0)#13048.0(+55.0)#3,347
131.45223101.051.0(+50.0)#13148.0(+53.0)#3,438
132.44618101.051.0(+50.0)#13248.0(+53.0)#3,446
133.44286101.051.0(+50.0)#13348.0(+53.0)#3,450
134.45369101.051.0(+50.0)#13448.0(+53.0)#3,457
135.45102100.051.0(+49.0)#13548.0(+52.0)#3,485
136.45727100.051.0(+49.0)#13648.0(+52.0)#3,529
137.43788100.051.0(+49.0)#13748.0(+52.0)#3,533
138.4401299.051.0(+48.0)#13848.0(+51.0)#3,557
139.4573599.051.0(+48.0)#13948.0(+51.0)#3,600
140.4312699.051.0(+48.0)#14048.0(+51.0)#3,611
141.4443298.051.0(+47.0)#14148.0(+50.0)#3,633
142.4460998.051.0(+47.0)#14248.0(+50.0)#3,653
143.4577997.051.0(+46.0)#14348.0(+49.0)#3,755
144.4450596.051.0(+45.0)#14448.0(+48.0)#3,767
145.4583396.051.0(+45.0)#14548.0(+48.0)#3,772
146.4462196.051.0(+45.0)#14648.0(+48.0)#3,787
147.4539096.051.0(+45.0)#14748.0(+48.0)#3,793
148.4532896.051.0(+45.0)#14848.0(+48.0)#3,821
149.4501595.051.0(+44.0)#14948.0(+47.0)#3,840
150.4406794.051.0(+43.0)#15048.0(+46.0)#3,894
151.4586594.051.0(+43.0)#15148.0(+46.0)#3,910
152.4572494.051.0(+43.0)#15248.0(+46.0)#3,928
153.4532694.051.0(+43.0)#15348.0(+46.0)#3,940
154.4343794.051.0(+43.0)#15448.0(+46.0)#3,950
155.4441093.051.0(+42.0)#15548.0(+45.0)#3,972
156.4520493.051.0(+42.0)#15648.0(+45.0)#3,981
157.4585693.051.0(+42.0)#15748.0(+45.0)#3,985
158.4301493.051.0(+42.0)#15848.0(+45.0)#3,991
159.4523692.051.0(+41.0)#15948.0(+44.0)#4,038
160.4540592.051.0(+41.0)#16048.0(+44.0)#4,042
161.4490291.051.0(+40.0)#16148.0(+43.0)#4,133
162.4302591.051.0(+40.0)#16248.0(+43.0)#4,137
163.4561291.051.0(+40.0)#16348.0(+43.0)#4,140
164.4314891.051.0(+40.0)#16448.0(+43.0)#4,162
165.4535191.051.0(+40.0)#16548.0(+43.0)#4,191
166.4507091.051.0(+40.0)#16648.0(+43.0)#4,198
167.4397491.051.0(+40.0)#16748.0(+43.0)#4,203
168.4361689.051.0(+38.0)#16848.0(+41.0)#4,303
169.4512389.051.0(+38.0)#16948.0(+41.0)#4,327
170.4306189.051.0(+38.0)#17048.0(+41.0)#4,339
171.4341289.051.0(+38.0)#17148.0(+41.0)#4,342
172.4535989.051.0(+38.0)#17248.0(+41.0)#4,358
173.4585389.051.0(+38.0)#17348.0(+41.0)#4,369
174.4414288.051.0(+37.0)#17448.0(+40.0)#4,409
175.4306488.051.0(+37.0)#17548.0(+40.0)#4,411
176.4530588.051.0(+37.0)#17648.0(+40.0)#4,415
177.4310588.051.0(+37.0)#17748.0(+40.0)#4,420
178.4441388.051.0(+37.0)#17848.0(+40.0)#4,426
179.4334488.051.0(+37.0)#17948.0(+40.0)#4,429
180.4441288.051.0(+37.0)#18048.0(+40.0)#4,449
181.4372788.051.0(+37.0)#18148.0(+40.0)#4,467
182.4303688.051.0(+37.0)#18248.0(+40.0)#4,482
183.4311987.051.0(+36.0)#18348.0(+39.0)#4,490
184.4405287.051.0(+36.0)#18448.0(+39.0)#4,492
185.4524187.051.0(+36.0)#18548.0(+39.0)#4,500
186.4405687.051.0(+36.0)#18648.0(+39.0)#4,518
187.4300486.051.0(+35.0)#18748.0(+38.0)#4,590
188.4550486.051.0(+35.0)#18848.0(+38.0)#4,602
189.4505086.051.0(+35.0)#18948.0(+38.0)#4,613
190.4566386.051.0(+35.0)#19048.0(+38.0)#4,627
191.4586986.051.0(+35.0)#19148.0(+38.0)#4,638
192.4334286.051.0(+35.0)#19248.0(+38.0)#4,642
193.4536386.051.0(+35.0)#19348.0(+38.0)#4,660
194.4344985.051.0(+34.0)#19448.0(+37.0)#4,735
195.4511385.051.0(+34.0)#19548.0(+37.0)#4,748
196.4373985.051.0(+34.0)#19648.0(+37.0)#4,757
197.4481785.051.0(+34.0)#19748.0(+37.0)#4,771
198.4545884.051.0(+33.0)#19848.0(+36.0)#4,792
199.4503984.051.0(+33.0)#19948.0(+36.0)#4,798
200.4414384.051.0(+33.0)#20048.0(+36.0)#4,802