Zip Codes with the Most Births per 1,000 Women Below Poverty Level in the United States

RELATED REPORTS & OPTIONS

Highest Birth Rate | Below Poverty
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 Below Poverty Level in the United States

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in the United States Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in the United States

Zip Code Births / 1,000 Women vs State vs National
1. 28447, North Carolina 1,000.0 52.0 (+948)#1 53.0 (+947)#1
2. 17016, Pennsylvania 1,000.0 53.0 (+947)#1 53.0 (+947)#2
3. 78066, Texas 1,000.0 57.0 (+943)#1 53.0 (+947)#3
4. 36511, Alabama 1,000.0 52.0 (+948)#1 53.0 (+947)#4
5. 24924, West Virginia 1,000.0 50.0 (+950)#1 53.0 (+947)#5
6. 72584, Arkansas 1,000.0 55.0 (+945)#1 53.0 (+947)#6
7. 83462, Idaho 1,000.0 58.0 (+942)#1 53.0 (+947)#7
8. 95543, California 1,000.0 49.0 (+951)#1 53.0 (+947)#8
9. 12769, New York 1,000.0 50.0 (+950)#1 53.0 (+947)#9
10. 41607, Kentucky 1,000.0 54.0 (+946)#1 53.0 (+947)#10
11. 97877, Oregon 1,000.0 47.0 (+953)#1 53.0 (+947)#11
12. 93529, California 1,000.0 49.0 (+951)#2 53.0 (+947)#12
13. 12998, New York 1,000.0 50.0 (+950)#2 53.0 (+947)#13
14. 78352, Texas 1,000.0 57.0 (+943)#2 53.0 (+947)#14
15. 61552, Illinois 1,000.0 52.0 (+948)#1 53.0 (+947)#15
16. 26546, West Virginia 1,000.0 50.0 (+950)#2 53.0 (+947)#16
17. 81331, Colorado 1,000.0 50.0 (+950)#1 53.0 (+947)#17
18. 38226, Tennessee 1,000.0 53.0 (+947)#1 53.0 (+947)#18
19. 42638, Kentucky 1,000.0 54.0 (+946)#2 53.0 (+947)#19
20. 26631, West Virginia 1,000.0 50.0 (+950)#3 53.0 (+947)#20
21. 76869, Texas 1,000.0 57.0 (+943)#3 53.0 (+947)#21
22. 82222, Wyoming 1,000.0 64.0 (+936)#1 53.0 (+947)#22
23. 70464, Louisiana 1,000.0 57.0 (+943)#1 53.0 (+947)#23
24. 18912, Pennsylvania 1,000.0 53.0 (+947)#2 53.0 (+947)#24
25. 18460, Pennsylvania 1,000.0 53.0 (+947)#3 53.0 (+947)#25
26. 26224, West Virginia 1,000.0 50.0 (+950)#4 53.0 (+947)#26
27. 65783, Missouri 1,000.0 56.0 (+944)#1 53.0 (+947)#27
28. 20667, Maryland 1,000.0 52.0 (+948)#1 53.0 (+947)#28
29. 78391, Texas 1,000.0 57.0 (+943)#4 53.0 (+947)#29
30. 30539, Georgia 1,000.0 52.0 (+948)#1 53.0 (+947)#30
31. 59530, Montana 1,000.0 56.0 (+944)#1 53.0 (+947)#31
32. 03291, New Hampshire 1,000.0 48.0 (+952)#1 53.0 (+947)#32
33. 50102, Iowa 1,000.0 59.0 (+941)#1 53.0 (+947)#33
34. 44619, Ohio 1,000.0 56.0 (+944)#1 53.0 (+947)#34
35. 57475, South Dakota 1,000.0 66.0 (+934)#1 53.0 (+947)#35
36. 71820, Arkansas 1,000.0 55.0 (+945)#2 53.0 (+947)#36
37. 64672, Missouri 1,000.0 56.0 (+944)#2 53.0 (+947)#37
38. 27202, North Carolina 1,000.0 52.0 (+948)#2 53.0 (+947)#38
39. 57574, South Dakota 1,000.0 66.0 (+934)#2 53.0 (+947)#39
40. 30751, Georgia 1,000.0 52.0 (+948)#2 53.0 (+947)#40
41. 84623, Utah 1,000.0 60.0 (+940)#1 53.0 (+947)#41
42. 79754, Texas 1,000.0 57.0 (+943)#5 53.0 (+947)#42
43. 41181, Kentucky 1,000.0 54.0 (+946)#3 53.0 (+947)#43
44. 50454, Iowa 1,000.0 59.0 (+941)#2 53.0 (+947)#44
45. 03238, New Hampshire 1,000.0 48.0 (+952)#2 53.0 (+947)#45
46. 78145, Texas 1,000.0 57.0 (+943)#6 53.0 (+947)#46
47. 39177, Mississippi 1,000.0 57.0 (+943)#1 53.0 (+947)#47
48. 98616, Washington 1,000.0 53.0 (+947)#1 53.0 (+947)#48
49. 12483, New York 1,000.0 50.0 (+950)#3 53.0 (+947)#49
50. 60519, Illinois 1,000.0 52.0 (+948)#2 53.0 (+947)#50
51. 64092, Missouri 1,000.0 56.0 (+944)#3 53.0 (+947)#51
52. 13643, New York 1,000.0 50.0 (+950)#4 53.0 (+947)#52
53. 57640, South Dakota 1,000.0 66.0 (+934)#3 53.0 (+947)#53
54. 12161, New York 1,000.0 50.0 (+950)#5 53.0 (+947)#54
55. 99105, Washington 1,000.0 53.0 (+947)#2 53.0 (+947)#55
56. 96010, California 1,000.0 49.0 (+951)#3 53.0 (+947)#56
57. 53962, Wisconsin 1,000.0 52.0 (+948)#1 53.0 (+947)#57
58. 83215, Idaho 1,000.0 58.0 (+942)#2 53.0 (+947)#58
59. 26289, West Virginia 1,000.0 50.0 (+950)#5 53.0 (+947)#59
60. 49084, Michigan 1,000.0 53.0 (+947)#1 53.0 (+947)#60
61. 27943, North Carolina 981.0 52.0 (+929)#3 53.0 (+928)#61
62. 78349, Texas 914.0 57.0 (+857)#7 53.0 (+861)#62
63. 17778, Pennsylvania 889.0 53.0 (+836)#4 53.0 (+836)#63
64. 79842, Texas 867.0 57.0 (+810)#8 53.0 (+814)#64
65. 67733, Kansas 867.0 61.0 (+806)#1 53.0 (+814)#65
66. 72629, Arkansas 859.0 55.0 (+804)#3 53.0 (+806)#66
67. 82648, Wyoming 844.0 64.0 (+780)#2 53.0 (+791)#67
68. 25267, West Virginia 818.0 50.0 (+768)#6 53.0 (+765)#68
69. 62940, Illinois 786.0 52.0 (+734)#3 53.0 (+733)#69
70. 80750, Colorado 778.0 50.0 (+728)#2 53.0 (+725)#70
71. 15662, Pennsylvania 773.0 53.0 (+720)#5 53.0 (+720)#71
72. 40170, Kentucky 769.0 54.0 (+715)#4 53.0 (+716)#72
73. 78385, Texas 769.0 57.0 (+712)#9 53.0 (+716)#73
74. 29816, South Carolina 765.0 55.0 (+710)#1 53.0 (+712)#74
75. 76957, Texas 762.0 57.0 (+705)#10 53.0 (+709)#75
76. 22731, Virginia 756.0 50.0 (+706)#1 53.0 (+703)#76
77. 19511, Pennsylvania 750.0 53.0 (+697)#6 53.0 (+697)#77
78. 72617, Arkansas 747.0 55.0 (+692)#4 53.0 (+694)#78
79. 26203, West Virginia 741.0 50.0 (+691)#7 53.0 (+688)#79
80. 36790, Alabama 733.0 52.0 (+681)#2 53.0 (+680)#80
81. 58488, North Dakota 733.0 68.0 (+665)#1 53.0 (+680)#81
82. 12742, New York 724.0 50.0 (+674)#6 53.0 (+671)#82
83. 98819, Washington 714.0 53.0 (+661)#3 53.0 (+661)#83
84. 65702, Missouri 714.0 56.0 (+658)#4 53.0 (+661)#84
85. 43738, Ohio 714.0 56.0 (+658)#2 53.0 (+661)#85
86. 19435, Pennsylvania 708.0 53.0 (+655)#7 53.0 (+655)#86
87. 50860, Iowa 706.0 59.0 (+647)#3 53.0 (+653)#87
88. 95224, California 704.0 49.0 (+655)#4 53.0 (+651)#88
89. 26039, West Virginia 700.0 50.0 (+650)#8 53.0 (+647)#89
90. 67061, Kansas 700.0 61.0 (+639)#2 53.0 (+647)#90
91. 25651, West Virginia 697.0 50.0 (+647)#9 53.0 (+644)#91
92. 64422, Missouri 696.0 56.0 (+640)#5 53.0 (+643)#92
93. 39352, Mississippi 692.0 57.0 (+635)#2 53.0 (+639)#93
94. 25432, West Virginia 692.0 50.0 (+642)#10 53.0 (+639)#94
95. 02663, Massachusetts 688.0 46.0 (+642)#1 53.0 (+635)#95
96. 68014, Nebraska 684.0 62.0 (+622)#1 53.0 (+631)#96
97. 65287, Missouri 682.0 56.0 (+626)#6 53.0 (+629)#97
98. 26348, West Virginia 679.0 50.0 (+629)#11 53.0 (+626)#98
99. 70736, Louisiana 675.0 57.0 (+618)#2 53.0 (+622)#99
100. 59456, Montana 667.0 56.0 (+611)#2 53.0 (+614)#100

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in the United States?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level 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 Below Poverty Level in the United States?
28447 has the Most Births per 1,000 Women Below Poverty Level in the United States with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.