Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio

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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

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio Map

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
1.446191,000.051.0(+949)#148.0(+952)#33
2.45654602.051.0(+551)#248.0(+554)#116
3.44844559.051.0(+508)#348.0(+511)#129
4.44454500.051.0(+449)#448.0(+452)#161
5.44639500.051.0(+449)#548.0(+452)#164
6.45051484.051.0(+433)#648.0(+436)#182
7.45353462.051.0(+411)#748.0(+414)#204
8.44082421.051.0(+370)#848.0(+373)#249
9.43127385.051.0(+334)#948.0(+337)#281
10.45821381.051.0(+330)#1048.0(+333)#288
11.45864375.051.0(+324)#1148.0(+327)#301
12.45812374.051.0(+323)#1248.0(+326)#305
13.44450352.051.0(+301)#1348.0(+304)#344
14.45332348.051.0(+297)#1448.0(+300)#349
15.44699345.051.0(+294)#1548.0(+297)#353
16.43940333.051.0(+282)#1648.0(+285)#379
17.45131289.051.0(+238)#1748.0(+241)#504
18.43747283.051.0(+232)#1848.0(+235)#524
19.43787282.051.0(+231)#1948.0(+234)#528
20.45868276.051.0(+225)#2048.0(+228)#550
21.43802264.051.0(+213)#2148.0(+216)#595
22.43844259.051.0(+208)#2248.0(+211)#618
23.43438250.051.0(+199)#2348.0(+202)#663
24.45672242.051.0(+191)#2448.0(+194)#702
25.43749233.051.0(+182)#2548.0(+185)#744
26.43080223.051.0(+172)#2648.0(+175)#808
27.45156222.051.0(+171)#2748.0(+174)#827
28.43002217.051.0(+166)#2848.0(+169)#855
29.45848214.051.0(+163)#2948.0(+166)#887
30.45348207.051.0(+156)#3048.0(+159)#935
31.43416204.051.0(+153)#3148.0(+156)#958
32.44814204.051.0(+153)#3248.0(+156)#960
33.45307200.051.0(+149)#3348.0(+152)#994
34.45826200.051.0(+149)#3448.0(+152)#997
35.43962200.051.0(+149)#3548.0(+152)#1,012
36.44625198.051.0(+147)#3648.0(+150)#1,030
37.43345196.051.0(+145)#3748.0(+148)#1,049
38.44620195.051.0(+144)#3848.0(+147)#1,064
39.43910194.051.0(+143)#3948.0(+146)#1,068
40.45647191.051.0(+140)#4048.0(+143)#1,089
41.44843190.051.0(+139)#4148.0(+142)#1,095
42.43533184.051.0(+133)#4248.0(+136)#1,160
43.45745183.051.0(+132)#4348.0(+135)#1,180
44.43136182.051.0(+131)#4448.0(+134)#1,182
45.43006182.051.0(+131)#4548.0(+134)#1,186
46.44887180.051.0(+129)#4648.0(+132)#1,209
47.44423177.051.0(+126)#4748.0(+129)#1,231
48.43060176.051.0(+125)#4848.0(+128)#1,239
49.44695175.051.0(+124)#4948.0(+127)#1,258
50.45696173.051.0(+122)#5048.0(+125)#1,290
51.44847172.051.0(+121)#5148.0(+124)#1,295
52.43463172.051.0(+121)#5248.0(+124)#1,306
53.45828171.051.0(+120)#5348.0(+123)#1,315
54.43318163.051.0(+112)#5448.0(+115)#1,439
55.45653161.051.0(+110)#5548.0(+113)#1,474
56.43767158.051.0(+107)#5648.0(+110)#1,533
57.43322155.051.0(+104)#5748.0(+107)#1,603
58.44640154.051.0(+103)#5848.0(+106)#1,618
59.45062153.051.0(+102)#5948.0(+105)#1,631
60.43759152.051.0(+101)#6048.0(+104)#1,654
61.45876151.051.0(+100.0)#6148.0(+103)#1,665
62.44680149.051.0(+98.0)#6248.0(+101)#1,696
63.44050148.051.0(+97.0)#6348.0(+100.0)#1,712
64.45352147.051.0(+96.0)#6448.0(+99.0)#1,755
65.43526145.051.0(+94.0)#6548.0(+97.0)#1,779
66.45863145.051.0(+94.0)#6648.0(+97.0)#1,784
67.45782143.051.0(+92.0)#6748.0(+95.0)#1,838
68.45232142.051.0(+91.0)#6848.0(+94.0)#1,859
69.44815142.051.0(+91.0)#6948.0(+94.0)#1,875
70.44880141.051.0(+90.0)#7048.0(+93.0)#1,882
71.44451139.051.0(+88.0)#7148.0(+91.0)#1,934
72.43778137.051.0(+86.0)#7248.0(+89.0)#1,997
73.45310135.051.0(+84.0)#7348.0(+87.0)#2,062
74.44255134.051.0(+83.0)#7448.0(+86.0)#2,069
75.44889134.051.0(+83.0)#7548.0(+86.0)#2,071
76.43315133.051.0(+82.0)#7648.0(+85.0)#2,094
77.45302133.051.0(+82.0)#7748.0(+85.0)#2,099
78.43357133.051.0(+82.0)#7848.0(+85.0)#2,100
79.45884133.051.0(+82.0)#7948.0(+85.0)#2,120
80.43153130.051.0(+79.0)#8048.0(+82.0)#2,188
81.43611128.051.0(+77.0)#8148.0(+80.0)#2,237
82.45246128.051.0(+77.0)#8248.0(+80.0)#2,239
83.45652128.051.0(+77.0)#8348.0(+80.0)#2,245
84.45001128.051.0(+77.0)#8448.0(+80.0)#2,254
85.44644127.051.0(+76.0)#8548.0(+79.0)#2,274
86.43138125.051.0(+74.0)#8648.0(+77.0)#2,340
87.44656125.051.0(+74.0)#8748.0(+77.0)#2,346
88.44115123.051.0(+72.0)#8848.0(+75.0)#2,412
89.45122122.051.0(+71.0)#8948.0(+74.0)#2,442
90.44401122.051.0(+71.0)#9048.0(+74.0)#2,448
91.43973121.051.0(+70.0)#9148.0(+73.0)#2,488
92.44305119.051.0(+68.0)#9248.0(+71.0)#2,541
93.45831119.051.0(+68.0)#9348.0(+71.0)#2,554
94.43746119.051.0(+68.0)#9448.0(+71.0)#2,575
95.45403118.051.0(+67.0)#9548.0(+70.0)#2,584
96.44703118.051.0(+67.0)#9648.0(+70.0)#2,588
97.45308118.051.0(+67.0)#9748.0(+70.0)#2,592
98.44132117.051.0(+66.0)#9848.0(+69.0)#2,629
99.44704116.051.0(+65.0)#9948.0(+68.0)#2,678
100.44443116.051.0(+65.0)#10048.0(+68.0)#2,686

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Ohio are:
#1
1,000.0
#2
602.0
#3
559.0
#4
500.0
#5
500.0
#6
484.0
#7
462.0
#8
421.0
#9
385.0
#10
381.0
What zip code has the Most Births per 1,000 Women in Labor Force in Ohio?
44619 has the Most Births per 1,000 Women in Labor Force in Ohio with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Ohio?
Number of Births per 1,000 Women in Labor Force in Ohio is 51.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.