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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in Ohio

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

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

Zip Code Births / 1,000 Women vs State vs National
1.441141.051.0(-50.0)#148.0(-47.0)#6
2.452062.051.0(-49.0)#248.0(-46.0)#17
3.452203.051.0(-48.0)#348.0(-45.0)#44
4.456193.051.0(-48.0)#448.0(-45.0)#59
5.456283.051.0(-48.0)#548.0(-45.0)#67
6.431123.051.0(-48.0)#648.0(-45.0)#69
7.447094.051.0(-47.0)#748.0(-44.0)#96
8.456934.051.0(-47.0)#848.0(-44.0)#109
9.437774.051.0(-47.0)#948.0(-44.0)#128
10.438454.051.0(-47.0)#1048.0(-44.0)#130
11.435224.051.0(-47.0)#1148.0(-44.0)#137
12.451184.051.0(-47.0)#1248.0(-44.0)#141
13.456234.051.0(-47.0)#1348.0(-44.0)#142
14.433404.051.0(-47.0)#1448.0(-44.0)#156
15.440625.051.0(-46.0)#1548.0(-43.0)#176
16.456925.051.0(-46.0)#1648.0(-43.0)#186
17.456445.051.0(-46.0)#1748.0(-43.0)#201
18.458365.051.0(-46.0)#1848.0(-43.0)#228
19.432016.051.0(-45.0)#1948.0(-42.0)#232
20.450566.051.0(-45.0)#2048.0(-42.0)#236
21.446546.051.0(-45.0)#2148.0(-42.0)#243
22.456136.051.0(-45.0)#2248.0(-42.0)#285
23.451626.051.0(-45.0)#2348.0(-42.0)#286
24.430716.051.0(-45.0)#2448.0(-42.0)#289
25.433566.051.0(-45.0)#2548.0(-42.0)#301
26.452197.051.0(-44.0)#2648.0(-41.0)#321
27.439537.051.0(-44.0)#2748.0(-41.0)#326
28.453117.051.0(-44.0)#2848.0(-41.0)#349
29.437567.051.0(-44.0)#2948.0(-41.0)#358
30.448407.051.0(-44.0)#3048.0(-41.0)#374
31.437727.051.0(-44.0)#3148.0(-41.0)#386
32.457018.051.0(-43.0)#3248.0(-40.0)#412
33.432158.051.0(-43.0)#3348.0(-40.0)#420
34.443118.051.0(-43.0)#3448.0(-40.0)#453
35.443078.051.0(-43.0)#3548.0(-40.0)#463
36.456978.051.0(-43.0)#3648.0(-40.0)#465
37.456818.051.0(-43.0)#3748.0(-40.0)#525
38.449049.051.0(-42.0)#3848.0(-39.0)#568
39.458109.051.0(-42.0)#3948.0(-39.0)#590
40.457699.051.0(-42.0)#4048.0(-39.0)#594
41.439779.051.0(-42.0)#4148.0(-39.0)#633
42.433609.051.0(-42.0)#4248.0(-39.0)#640
43.448049.051.0(-42.0)#4348.0(-39.0)#643
44.456859.051.0(-42.0)#4448.0(-39.0)#646
45.453829.051.0(-42.0)#4548.0(-39.0)#655
46.456749.051.0(-42.0)#4648.0(-39.0)#666
47.458519.051.0(-42.0)#4748.0(-39.0)#671
48.4506710.051.0(-41.0)#4848.0(-38.0)#702
49.4405410.051.0(-41.0)#4948.0(-38.0)#705
50.4568010.051.0(-41.0)#5048.0(-38.0)#709
51.4423110.051.0(-41.0)#5148.0(-38.0)#729
52.4481310.051.0(-41.0)#5248.0(-38.0)#730
53.4412710.051.0(-41.0)#5348.0(-38.0)#763
54.4584510.051.0(-41.0)#5448.0(-38.0)#772
55.4371610.051.0(-41.0)#5548.0(-38.0)#791
56.4468910.051.0(-41.0)#5648.0(-38.0)#830
57.4512111.051.0(-40.0)#5748.0(-37.0)#872
58.4396811.051.0(-40.0)#5848.0(-37.0)#895
59.4345011.051.0(-40.0)#5948.0(-37.0)#924
60.4462911.051.0(-40.0)#6048.0(-37.0)#940
61.4304511.051.0(-40.0)#6148.0(-37.0)#955
62.4563411.051.0(-40.0)#6248.0(-37.0)#965
63.4448512.051.0(-39.0)#6348.0(-36.0)#1,021
64.4411712.051.0(-39.0)#6448.0(-36.0)#1,045
65.4375812.051.0(-39.0)#6548.0(-36.0)#1,104
66.4308412.051.0(-39.0)#6648.0(-36.0)#1,150
67.4484213.051.0(-38.0)#6748.0(-35.0)#1,253
68.4376213.051.0(-38.0)#6848.0(-35.0)#1,256
69.4488213.051.0(-38.0)#6948.0(-35.0)#1,299
70.4442913.051.0(-38.0)#7048.0(-35.0)#1,302
71.4572913.051.0(-38.0)#7148.0(-35.0)#1,305
72.4307614.051.0(-37.0)#7248.0(-34.0)#1,406
73.4587914.051.0(-37.0)#7348.0(-34.0)#1,424
74.4450414.051.0(-37.0)#7448.0(-34.0)#1,438
75.4444014.051.0(-37.0)#7548.0(-34.0)#1,442
76.4310214.051.0(-37.0)#7648.0(-34.0)#1,447
77.4585014.051.0(-37.0)#7748.0(-34.0)#1,456
78.4577114.051.0(-37.0)#7848.0(-34.0)#1,458
79.4315014.051.0(-37.0)#7948.0(-34.0)#1,474
80.4588114.051.0(-37.0)#8048.0(-34.0)#1,503
81.4340215.051.0(-36.0)#8148.0(-33.0)#1,545
82.4405715.051.0(-36.0)#8248.0(-33.0)#1,559
83.4571415.051.0(-36.0)#8348.0(-33.0)#1,597
84.4537015.051.0(-36.0)#8448.0(-33.0)#1,655
85.4571515.051.0(-36.0)#8548.0(-33.0)#1,678
86.4332015.051.0(-36.0)#8648.0(-33.0)#1,697
87.4533915.051.0(-36.0)#8748.0(-33.0)#1,705
88.4513516.051.0(-35.0)#8848.0(-32.0)#1,822
89.4505216.051.0(-35.0)#8948.0(-32.0)#1,840
90.4361016.051.0(-35.0)#9048.0(-32.0)#1,843
91.4584116.051.0(-35.0)#9148.0(-32.0)#1,900
92.4374016.051.0(-35.0)#9248.0(-32.0)#1,923
93.4440617.051.0(-34.0)#9348.0(-31.0)#1,954
94.4462217.051.0(-34.0)#9448.0(-31.0)#1,960
95.4506817.051.0(-34.0)#9548.0(-31.0)#1,978
96.4461517.051.0(-34.0)#9648.0(-31.0)#1,986
97.4393517.051.0(-34.0)#9748.0(-31.0)#1,993
98.4361917.051.0(-34.0)#9848.0(-31.0)#2,003
99.4354917.051.0(-34.0)#9948.0(-31.0)#2,083
100.4376617.051.0(-34.0)#10048.0(-31.0)#2,091

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Ohio?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Ohio are:
#1
1.0
#2
2.0
#3
3.0
#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 Lowest Births per 1,000 Women in Labor Force in Ohio?
44114 has the Lowest Births per 1,000 Women in Labor Force in Ohio with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Ohio?
Number Births per 1,000 Women in Labor Force in Ohio is 51.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.