Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in the United States

RELATED REPORTS & OPTIONS

Highest Birth Rate | Women 35+
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 Over the Age of 35 in the United States

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in the United States Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in the United States

Zip Code Births / 1,000 Women vs State vs National
1. 14853, New York 1,000.0 39.0 (+961)#1 32.0 (+968)#1
2. 78349, Texas 1,000.0 32.0 (+968)#1 32.0 (+968)#2
3. 04733, Maine 1,000.0 30.0 (+970)#1 32.0 (+968)#3
4. 15007, Pennsylvania 1,000.0 31.0 (+969)#1 32.0 (+968)#4
5. 36513, Alabama 1,000.0 22.0 (+978)#1 32.0 (+968)#5
6. 72584, Arkansas 1,000.0 18.0 (+982)#1 32.0 (+968)#6
7. 95221, California 1,000.0 37.0 (+963)#1 32.0 (+968)#7
8. 83462, Idaho 1,000.0 31.0 (+969)#1 32.0 (+968)#8
9. 95543, California 1,000.0 37.0 (+963)#2 32.0 (+968)#9
10. 26443, West Virginia 1,000.0 19.0 (+981)#1 32.0 (+968)#10
11. 20687, Maryland 1,000.0 38.0 (+962)#1 32.0 (+968)#11
12. 26348, West Virginia 1,000.0 19.0 (+981)#2 32.0 (+968)#12
13. 99121, Washington 1,000.0 35.0 (+965)#1 32.0 (+968)#13
14. 97877, Oregon 1,000.0 32.0 (+968)#1 32.0 (+968)#14
15. 12998, New York 1,000.0 39.0 (+961)#2 32.0 (+968)#15
16. 96117, California 1,000.0 37.0 (+963)#3 32.0 (+968)#16
17. 21714, Maryland 1,000.0 38.0 (+962)#2 32.0 (+968)#17
18. 49320, Michigan 1,000.0 28.0 (+972)#1 32.0 (+968)#18
19. 68514, Nebraska 1,000.0 34.0 (+966)#1 32.0 (+968)#19
20. 36267, Alabama 1,000.0 22.0 (+978)#2 32.0 (+968)#20
21. 84735, Utah 1,000.0 29.0 (+971)#1 32.0 (+968)#21
22. 26631, West Virginia 1,000.0 19.0 (+981)#3 32.0 (+968)#22
23. 96112, California 1,000.0 37.0 (+963)#4 32.0 (+968)#23
24. 26224, West Virginia 1,000.0 19.0 (+981)#4 32.0 (+968)#24
25. 56565, Minnesota 1,000.0 35.0 (+965)#1 32.0 (+968)#25
26. 68881, Nebraska 1,000.0 34.0 (+966)#2 32.0 (+968)#26
27. 57574, South Dakota 1,000.0 35.0 (+965)#1 32.0 (+968)#27
28. 97125, Oregon 1,000.0 32.0 (+968)#2 32.0 (+968)#28
29. 52652, Iowa 1,000.0 28.0 (+972)#1 32.0 (+968)#29
30. 66970, Kansas 1,000.0 31.0 (+969)#1 32.0 (+968)#30
31. 59419, Montana 1,000.0 34.0 (+966)#1 32.0 (+968)#31
32. 50031, Iowa 1,000.0 28.0 (+972)#2 32.0 (+968)#32
33. 56030, Minnesota 1,000.0 35.0 (+965)#2 32.0 (+968)#33
34. 49084, Michigan 1,000.0 28.0 (+972)#2 32.0 (+968)#34
35. 14480, New York 885.0 39.0 (+846)#3 32.0 (+853)#35
36. 77367, Texas 875.0 32.0 (+843)#2 32.0 (+843)#36
37. 67510, Kansas 833.0 31.0 (+802)#2 32.0 (+801)#37
38. 67103, Kansas 828.0 31.0 (+797)#3 32.0 (+796)#38
39. 66422, Kansas 816.0 31.0 (+785)#4 32.0 (+784)#39
40. 72721, Arkansas 792.0 18.0 (+774)#2 32.0 (+760)#40
41. 83302, Idaho 778.0 31.0 (+747)#2 32.0 (+746)#41
42. 80750, Colorado 778.0 34.0 (+744)#1 32.0 (+746)#42
43. 19511, Pennsylvania 750.0 31.0 (+719)#2 32.0 (+718)#43
44. 79234, Texas 727.0 32.0 (+695)#3 32.0 (+695)#44
45. 12742, New York 724.0 39.0 (+685)#4 32.0 (+692)#45
46. 06024, Connecticut 714.0 34.0 (+680)#1 32.0 (+682)#46
47. 72052, Arkansas 714.0 18.0 (+696)#3 32.0 (+682)#47
48. 76635, Texas 707.0 32.0 (+675)#4 32.0 (+675)#48
49. 99180, Washington 691.0 35.0 (+656)#2 32.0 (+659)#49
50. 81253, Colorado 691.0 34.0 (+657)#2 32.0 (+659)#50
51. 02663, Massachusetts 688.0 36.0 (+652)#1 32.0 (+656)#51
52. 50455, Iowa 688.0 28.0 (+660)#3 32.0 (+656)#52
53. 17064, Pennsylvania 683.0 31.0 (+652)#3 32.0 (+651)#53
54. 40442, Kentucky 667.0 22.0 (+645)#1 32.0 (+635)#54
55. 13786, New York 667.0 39.0 (+628)#5 32.0 (+635)#55
56. 78933, Texas 636.0 32.0 (+604)#5 32.0 (+604)#56
57. 61936, Illinois 634.0 34.0 (+600)#1 32.0 (+602)#57
58. 40953, Kentucky 632.0 22.0 (+610)#2 32.0 (+600)#58
59. 12952, New York 625.0 39.0 (+586)#6 32.0 (+593)#59
60. 27259, North Carolina 625.0 27.0 (+598)#1 32.0 (+593)#60
61. 29916, South Carolina 624.0 27.0 (+597)#1 32.0 (+592)#61
62. 63952, Missouri 610.0 28.0 (+582)#1 32.0 (+578)#62
63. 57646, South Dakota 604.0 35.0 (+569)#2 32.0 (+572)#63
64. 77867, Texas 600.0 32.0 (+568)#6 32.0 (+568)#64
65. 58331, North Dakota 600.0 32.0 (+568)#1 32.0 (+568)#65
66. 94720, California 583.0 37.0 (+546)#5 32.0 (+551)#66
67. 38459, Tennessee 581.0 25.0 (+556)#1 32.0 (+549)#67
68. 26587, West Virginia 581.0 19.0 (+562)#5 32.0 (+549)#68
69. 44844, Ohio 579.0 27.0 (+552)#1 32.0 (+547)#69
70. 05681, Vermont 571.0 27.0 (+544)#1 32.0 (+539)#70
71. 73043, Oklahoma 571.0 28.0 (+543)#1 32.0 (+539)#71
72. 62280, Illinois 567.0 34.0 (+533)#2 32.0 (+535)#72
73. 14614, New York 559.0 39.0 (+520)#7 32.0 (+527)#73
74. 52146, Iowa 556.0 28.0 (+528)#4 32.0 (+524)#74
75. 57725, South Dakota 556.0 35.0 (+521)#3 32.0 (+524)#75
76. 58029, North Dakota 556.0 32.0 (+524)#2 32.0 (+524)#76
77. 36736, Alabama 551.0 22.0 (+529)#3 32.0 (+519)#77
78. 62643, Illinois 545.0 34.0 (+511)#3 32.0 (+513)#78
79. 63454, Missouri 540.0 28.0 (+512)#2 32.0 (+508)#79
80. 58223, North Dakota 538.0 32.0 (+506)#3 32.0 (+506)#80
81. 92561, California 530.0 37.0 (+493)#6 32.0 (+498)#81
82. 95646, California 524.0 37.0 (+487)#7 32.0 (+492)#82
83. 12732, New York 523.0 39.0 (+484)#8 32.0 (+491)#83
84. 44699, Ohio 514.0 27.0 (+487)#2 32.0 (+482)#84
85. 52074, Iowa 514.0 28.0 (+486)#5 32.0 (+482)#85
86. 71354, Louisiana 512.0 27.0 (+485)#1 32.0 (+480)#86
87. 25971, West Virginia 510.0 19.0 (+491)#6 32.0 (+478)#87
88. 66520, Kansas 508.0 31.0 (+477)#5 32.0 (+476)#88
89. 94937, California 500.0 37.0 (+463)#8 32.0 (+468)#89
90. 57073, South Dakota 500.0 35.0 (+465)#4 32.0 (+468)#90
91. 43006, Ohio 500.0 27.0 (+473)#3 32.0 (+468)#91
92. 61720, Illinois 500.0 34.0 (+466)#4 32.0 (+468)#92
93. 69030, Nebraska 500.0 34.0 (+466)#3 32.0 (+468)#93
94. 49628, Michigan 500.0 28.0 (+472)#3 32.0 (+468)#94
95. 59525, Montana 500.0 34.0 (+466)#2 32.0 (+468)#95
96. 57061, South Dakota 500.0 35.0 (+465)#5 32.0 (+468)#96
97. 58277, North Dakota 500.0 32.0 (+468)#4 32.0 (+468)#97
98. 59746, Montana 500.0 34.0 (+466)#3 32.0 (+468)#98
99. 74368, Oklahoma 500.0 28.0 (+472)#2 32.0 (+468)#99
100. 99691, Alaska 500.0 40.0 (+460)#1 32.0 (+468)#100

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in the United States?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 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 Over the Age of 35 in the United States?
14853 has the Most Births per 1,000 Women Over the Age of 35 in the United States with 1,000.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.