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

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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
United States
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 28447, North Carolina 1,000.0 46.0 (+954)#1 48.0 (+952)#1
2. 25267, West Virginia 1,000.0 45.0 (+955)#1 48.0 (+952)#2
3. 36511, Alabama 1,000.0 49.0 (+951)#1 48.0 (+952)#3
4. 78349, Texas 1,000.0 50.0 (+950)#1 48.0 (+952)#4
5. 42285, Kentucky 1,000.0 50.0 (+950)#1 48.0 (+952)#5
6. 02663, Massachusetts 1,000.0 44.0 (+956)#1 48.0 (+952)#6
7. 37369, Tennessee 1,000.0 47.0 (+953)#1 48.0 (+952)#7
8. 95914, California 1,000.0 45.0 (+955)#1 48.0 (+952)#8
9. 22731, Virginia 1,000.0 45.0 (+955)#1 48.0 (+952)#9
10. 41540, Kentucky 1,000.0 50.0 (+950)#2 48.0 (+952)#10
11. 21650, Maryland 1,000.0 50.0 (+950)#1 48.0 (+952)#11
12. 40983, Kentucky 1,000.0 50.0 (+950)#3 48.0 (+952)#12
13. 48896, Michigan 1,000.0 48.0 (+952)#1 48.0 (+952)#13
14. 24894, West Virginia 1,000.0 45.0 (+955)#2 48.0 (+952)#14
15. 26546, West Virginia 1,000.0 45.0 (+955)#3 48.0 (+952)#15
16. 81331, Colorado 1,000.0 42.0 (+958)#1 48.0 (+952)#16
17. 73758, Oklahoma 1,000.0 51.0 (+949)#1 48.0 (+952)#17
18. 85371, Arizona 1,000.0 47.0 (+953)#1 48.0 (+952)#18
19. 38226, Tennessee 1,000.0 47.0 (+953)#2 48.0 (+952)#19
20. 84735, Utah 1,000.0 47.0 (+953)#1 48.0 (+952)#20
21. 96133, California 1,000.0 45.0 (+955)#2 48.0 (+952)#21
22. 82222, Wyoming 1,000.0 55.0 (+945)#1 48.0 (+952)#22
23. 18460, Pennsylvania 1,000.0 47.0 (+953)#1 48.0 (+952)#23
24. 20667, Maryland 1,000.0 50.0 (+950)#2 48.0 (+952)#24
25. 94074, California 1,000.0 45.0 (+955)#3 48.0 (+952)#25
26. 78391, Texas 1,000.0 50.0 (+950)#2 48.0 (+952)#26
27. 99152, Washington 1,000.0 45.0 (+955)#1 48.0 (+952)#27
28. 30539, Georgia 1,000.0 47.0 (+953)#1 48.0 (+952)#28
29. 59530, Montana 1,000.0 50.0 (+950)#1 48.0 (+952)#29
30. 03291, New Hampshire 1,000.0 44.0 (+956)#1 48.0 (+952)#30
31. 50102, Iowa 1,000.0 55.0 (+945)#1 48.0 (+952)#31
32. 35070, Alabama 1,000.0 49.0 (+951)#2 48.0 (+952)#32
33. 44619, Ohio 1,000.0 51.0 (+949)#1 48.0 (+952)#33
34. 57475, South Dakota 1,000.0 59.0 (+941)#1 48.0 (+952)#34
35. 71820, Arkansas 1,000.0 51.0 (+949)#1 48.0 (+952)#35
36. 68881, Nebraska 1,000.0 59.0 (+941)#1 48.0 (+952)#36
37. 27202, North Carolina 1,000.0 46.0 (+954)#2 48.0 (+952)#37
38. 13020, New York 1,000.0 47.0 (+953)#1 48.0 (+952)#38
39. 99788, Alaska 1,000.0 52.0 (+948)#1 48.0 (+952)#39
40. 41181, Kentucky 1,000.0 50.0 (+950)#4 48.0 (+952)#40
41. 52652, Iowa 1,000.0 55.0 (+945)#2 48.0 (+952)#41
42. 03238, New Hampshire 1,000.0 44.0 (+956)#2 48.0 (+952)#42
43. 39177, Mississippi 1,000.0 56.0 (+944)#1 48.0 (+952)#43
44. 60519, Illinois 1,000.0 49.0 (+951)#1 48.0 (+952)#44
45. 64092, Missouri 1,000.0 51.0 (+949)#1 48.0 (+952)#45
46. 13455, New York 1,000.0 47.0 (+953)#2 48.0 (+952)#46
47. 57640, South Dakota 1,000.0 59.0 (+941)#2 48.0 (+952)#47
48. 12161, New York 1,000.0 47.0 (+953)#3 48.0 (+952)#49
49. 50110, Iowa 1,000.0 55.0 (+945)#3 48.0 (+952)#50
50. 53962, Wisconsin 1,000.0 48.0 (+952)#1 48.0 (+952)#51
51. 26289, West Virginia 1,000.0 45.0 (+955)#4 48.0 (+952)#52
52. 56030, Minnesota 1,000.0 54.0 (+946)#1 48.0 (+952)#53
53. 49084, Michigan 1,000.0 48.0 (+952)#2 48.0 (+952)#54
54. 29037, South Carolina 907.0 49.0 (+858)#1 48.0 (+859)#55
55. 64422, Missouri 889.0 51.0 (+838)#2 48.0 (+841)#56
56. 17778, Pennsylvania 889.0 47.0 (+842)#2 48.0 (+841)#57
57. 77367, Texas 875.0 50.0 (+825)#3 48.0 (+827)#58
58. 72629, Arkansas 859.0 51.0 (+808)#2 48.0 (+811)#59
59. 17263, Pennsylvania 853.0 47.0 (+806)#3 48.0 (+805)#60
60. 82648, Wyoming 844.0 55.0 (+789)#2 48.0 (+796)#61
61. 79842, Texas 836.0 50.0 (+786)#4 48.0 (+788)#62
62. 12742, New York 808.0 47.0 (+761)#4 48.0 (+760)#63
63. 68429, Nebraska 786.0 59.0 (+727)#2 48.0 (+738)#64
64. 80750, Colorado 778.0 42.0 (+736)#2 48.0 (+730)#65
65. 12952, New York 765.0 47.0 (+718)#5 48.0 (+717)#66
66. 29816, South Carolina 759.0 49.0 (+710)#2 48.0 (+711)#67
67. 20758, Maryland 750.0 50.0 (+700)#3 48.0 (+702)#68
68. 19511, Pennsylvania 750.0 47.0 (+703)#4 48.0 (+702)#69
69. 62887, Illinois 744.0 49.0 (+695)#2 48.0 (+696)#70
70. 57467, South Dakota 741.0 59.0 (+682)#3 48.0 (+693)#71
71. 36790, Alabama 733.0 49.0 (+684)#3 48.0 (+685)#72
72. 67103, Kansas 733.0 54.0 (+679)#1 48.0 (+685)#73
73. 58794, North Dakota 720.0 59.0 (+661)#1 48.0 (+672)#74
74. 12960, New York 714.0 47.0 (+667)#6 48.0 (+666)#75
75. 65702, Missouri 714.0 51.0 (+663)#3 48.0 (+666)#76
76. 19435, Pennsylvania 708.0 47.0 (+661)#5 48.0 (+660)#77
77. 50031, Iowa 700.0 55.0 (+645)#4 48.0 (+652)#78
78. 38471, Tennessee 696.0 47.0 (+649)#3 48.0 (+648)#79
79. 68014, Nebraska 692.0 59.0 (+633)#3 48.0 (+644)#80
80. 33848, Florida 691.0 44.0 (+647)#1 48.0 (+643)#81
81. 68732, Nebraska 688.0 59.0 (+629)#4 48.0 (+640)#82
82. 36773, Alabama 686.0 49.0 (+637)#4 48.0 (+638)#83
83. 77444, Texas 679.0 50.0 (+629)#5 48.0 (+631)#84
84. 70736, Louisiana 675.0 52.0 (+623)#1 48.0 (+627)#85
85. 59456, Montana 667.0 50.0 (+617)#2 48.0 (+619)#86
86. 12512, New York 667.0 47.0 (+620)#7 48.0 (+619)#87
87. 84763, Utah 667.0 47.0 (+620)#2 48.0 (+619)#88
88. 58477, North Dakota 667.0 59.0 (+608)#2 48.0 (+619)#89
89. 68861, Nebraska 667.0 59.0 (+608)#5 48.0 (+619)#90
90. 75849, Texas 667.0 50.0 (+617)#6 48.0 (+619)#91
91. 79234, Texas 667.0 50.0 (+617)#7 48.0 (+619)#92
92. 50104, Iowa 667.0 55.0 (+612)#5 48.0 (+619)#93
93. 51460, Iowa 667.0 55.0 (+612)#6 48.0 (+619)#94
94. 13621, New York 662.0 47.0 (+615)#8 48.0 (+614)#95
95. 62361, Illinois 658.0 49.0 (+609)#3 48.0 (+610)#96
96. 98643, Washington 656.0 45.0 (+611)#2 48.0 (+608)#97
97. 78342, Texas 656.0 50.0 (+606)#8 48.0 (+608)#98
98. 82242, Wyoming 653.0 55.0 (+598)#3 48.0 (+605)#99
99. 18241, Pennsylvania 652.0 47.0 (+605)#6 48.0 (+604)#100
100. 32361, Florida 647.0 44.0 (+603)#2 48.0 (+599)#101

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in the United States are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
1,000.0
#5
1,000.0
#6
1,000.0
#7
1,000.0
#8
1,000.0
#9
1,000.0
#10
1,000.0
What zip code has the Most Births per 1,000 Women in Labor Force in the United States?
28447 has the Most Births per 1,000 Women in Labor Force in the United States with 1,000.0.
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.