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. 44619 1,000.0 51.0 (+949)#1 48.0 (+952)#33
2. 45654 602.0 51.0 (+551)#2 48.0 (+554)#116
3. 44844 559.0 51.0 (+508)#3 48.0 (+511)#129
4. 44454 500.0 51.0 (+449)#4 48.0 (+452)#161
5. 44639 500.0 51.0 (+449)#5 48.0 (+452)#164
6. 45051 484.0 51.0 (+433)#6 48.0 (+436)#182
7. 45353 462.0 51.0 (+411)#7 48.0 (+414)#204
8. 44082 421.0 51.0 (+370)#8 48.0 (+373)#249
9. 43127 385.0 51.0 (+334)#9 48.0 (+337)#281
10. 45821 381.0 51.0 (+330)#10 48.0 (+333)#288
11. 45864 375.0 51.0 (+324)#11 48.0 (+327)#301
12. 45812 374.0 51.0 (+323)#12 48.0 (+326)#305
13. 44450 352.0 51.0 (+301)#13 48.0 (+304)#344
14. 45332 348.0 51.0 (+297)#14 48.0 (+300)#349
15. 44699 345.0 51.0 (+294)#15 48.0 (+297)#353
16. 43940 333.0 51.0 (+282)#16 48.0 (+285)#379
17. 45131 289.0 51.0 (+238)#17 48.0 (+241)#504
18. 43747 283.0 51.0 (+232)#18 48.0 (+235)#524
19. 43787 282.0 51.0 (+231)#19 48.0 (+234)#528
20. 45868 276.0 51.0 (+225)#20 48.0 (+228)#550
21. 43802 264.0 51.0 (+213)#21 48.0 (+216)#595
22. 43844 259.0 51.0 (+208)#22 48.0 (+211)#618
23. 43438 250.0 51.0 (+199)#23 48.0 (+202)#663
24. 45672 242.0 51.0 (+191)#24 48.0 (+194)#702
25. 43749 233.0 51.0 (+182)#25 48.0 (+185)#744
26. 43080 223.0 51.0 (+172)#26 48.0 (+175)#808
27. 45156 222.0 51.0 (+171)#27 48.0 (+174)#827
28. 43002 217.0 51.0 (+166)#28 48.0 (+169)#855
29. 45848 214.0 51.0 (+163)#29 48.0 (+166)#887
30. 45348 207.0 51.0 (+156)#30 48.0 (+159)#935
31. 43416 204.0 51.0 (+153)#31 48.0 (+156)#958
32. 44814 204.0 51.0 (+153)#32 48.0 (+156)#960
33. 45307 200.0 51.0 (+149)#33 48.0 (+152)#994
34. 45826 200.0 51.0 (+149)#34 48.0 (+152)#997
35. 43962 200.0 51.0 (+149)#35 48.0 (+152)#1,012
36. 44625 198.0 51.0 (+147)#36 48.0 (+150)#1,030
37. 43345 196.0 51.0 (+145)#37 48.0 (+148)#1,049
38. 44620 195.0 51.0 (+144)#38 48.0 (+147)#1,064
39. 43910 194.0 51.0 (+143)#39 48.0 (+146)#1,068
40. 45647 191.0 51.0 (+140)#40 48.0 (+143)#1,089
41. 44843 190.0 51.0 (+139)#41 48.0 (+142)#1,095
42. 43533 184.0 51.0 (+133)#42 48.0 (+136)#1,160
43. 45745 183.0 51.0 (+132)#43 48.0 (+135)#1,180
44. 43136 182.0 51.0 (+131)#44 48.0 (+134)#1,182
45. 43006 182.0 51.0 (+131)#45 48.0 (+134)#1,186
46. 44887 180.0 51.0 (+129)#46 48.0 (+132)#1,209
47. 44423 177.0 51.0 (+126)#47 48.0 (+129)#1,231
48. 43060 176.0 51.0 (+125)#48 48.0 (+128)#1,239
49. 44695 175.0 51.0 (+124)#49 48.0 (+127)#1,258
50. 45696 173.0 51.0 (+122)#50 48.0 (+125)#1,290
51. 44847 172.0 51.0 (+121)#51 48.0 (+124)#1,295
52. 43463 172.0 51.0 (+121)#52 48.0 (+124)#1,306
53. 45828 171.0 51.0 (+120)#53 48.0 (+123)#1,315
54. 43318 163.0 51.0 (+112)#54 48.0 (+115)#1,439
55. 45653 161.0 51.0 (+110)#55 48.0 (+113)#1,474
56. 43767 158.0 51.0 (+107)#56 48.0 (+110)#1,533
57. 43322 155.0 51.0 (+104)#57 48.0 (+107)#1,603
58. 44640 154.0 51.0 (+103)#58 48.0 (+106)#1,618
59. 45062 153.0 51.0 (+102)#59 48.0 (+105)#1,631
60. 43759 152.0 51.0 (+101)#60 48.0 (+104)#1,654
61. 45876 151.0 51.0 (+100.0)#61 48.0 (+103)#1,665
62. 44680 149.0 51.0 (+98.0)#62 48.0 (+101)#1,696
63. 44050 148.0 51.0 (+97.0)#63 48.0 (+100.0)#1,712
64. 45352 147.0 51.0 (+96.0)#64 48.0 (+99.0)#1,755
65. 43526 145.0 51.0 (+94.0)#65 48.0 (+97.0)#1,779
66. 45863 145.0 51.0 (+94.0)#66 48.0 (+97.0)#1,784
67. 45782 143.0 51.0 (+92.0)#67 48.0 (+95.0)#1,838
68. 45232 142.0 51.0 (+91.0)#68 48.0 (+94.0)#1,859
69. 44815 142.0 51.0 (+91.0)#69 48.0 (+94.0)#1,875
70. 44880 141.0 51.0 (+90.0)#70 48.0 (+93.0)#1,882
71. 44451 139.0 51.0 (+88.0)#71 48.0 (+91.0)#1,934
72. 43778 137.0 51.0 (+86.0)#72 48.0 (+89.0)#1,997
73. 45310 135.0 51.0 (+84.0)#73 48.0 (+87.0)#2,062
74. 44255 134.0 51.0 (+83.0)#74 48.0 (+86.0)#2,069
75. 44889 134.0 51.0 (+83.0)#75 48.0 (+86.0)#2,071
76. 43315 133.0 51.0 (+82.0)#76 48.0 (+85.0)#2,094
77. 45302 133.0 51.0 (+82.0)#77 48.0 (+85.0)#2,099
78. 43357 133.0 51.0 (+82.0)#78 48.0 (+85.0)#2,100
79. 45884 133.0 51.0 (+82.0)#79 48.0 (+85.0)#2,120
80. 43153 130.0 51.0 (+79.0)#80 48.0 (+82.0)#2,188
81. 43611 128.0 51.0 (+77.0)#81 48.0 (+80.0)#2,237
82. 45246 128.0 51.0 (+77.0)#82 48.0 (+80.0)#2,239
83. 45652 128.0 51.0 (+77.0)#83 48.0 (+80.0)#2,245
84. 45001 128.0 51.0 (+77.0)#84 48.0 (+80.0)#2,254
85. 44644 127.0 51.0 (+76.0)#85 48.0 (+79.0)#2,274
86. 43138 125.0 51.0 (+74.0)#86 48.0 (+77.0)#2,340
87. 44656 125.0 51.0 (+74.0)#87 48.0 (+77.0)#2,346
88. 44115 123.0 51.0 (+72.0)#88 48.0 (+75.0)#2,412
89. 45122 122.0 51.0 (+71.0)#89 48.0 (+74.0)#2,442
90. 44401 122.0 51.0 (+71.0)#90 48.0 (+74.0)#2,448
91. 43973 121.0 51.0 (+70.0)#91 48.0 (+73.0)#2,488
92. 44305 119.0 51.0 (+68.0)#92 48.0 (+71.0)#2,541
93. 45831 119.0 51.0 (+68.0)#93 48.0 (+71.0)#2,554
94. 43746 119.0 51.0 (+68.0)#94 48.0 (+71.0)#2,575
95. 45403 118.0 51.0 (+67.0)#95 48.0 (+70.0)#2,584
96. 44703 118.0 51.0 (+67.0)#96 48.0 (+70.0)#2,588
97. 45308 118.0 51.0 (+67.0)#97 48.0 (+70.0)#2,592
98. 44132 117.0 51.0 (+66.0)#98 48.0 (+69.0)#2,629
99. 44704 116.0 51.0 (+65.0)#99 48.0 (+68.0)#2,678
100. 44443 116.0 51.0 (+65.0)#100 48.0 (+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.