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

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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 Carolina1,000.052.0(+948)#153.0(+947)#1
2.17016, Pennsylvania1,000.053.0(+947)#153.0(+947)#2
3.78066, Texas1,000.057.0(+943)#153.0(+947)#3
4.36511, Alabama1,000.052.0(+948)#153.0(+947)#4
5.24924, West Virginia1,000.050.0(+950)#153.0(+947)#5
6.72584, Arkansas1,000.055.0(+945)#153.0(+947)#6
7.83462, Idaho1,000.058.0(+942)#153.0(+947)#7
8.95543, California1,000.049.0(+951)#153.0(+947)#8
9.12769, New York1,000.050.0(+950)#153.0(+947)#9
10.41607, Kentucky1,000.054.0(+946)#153.0(+947)#10
11.97877, Oregon1,000.047.0(+953)#153.0(+947)#11
12.93529, California1,000.049.0(+951)#253.0(+947)#12
13.12998, New York1,000.050.0(+950)#253.0(+947)#13
14.78352, Texas1,000.057.0(+943)#253.0(+947)#14
15.61552, Illinois1,000.052.0(+948)#153.0(+947)#15
16.26546, West Virginia1,000.050.0(+950)#253.0(+947)#16
17.81331, Colorado1,000.050.0(+950)#153.0(+947)#17
18.38226, Tennessee1,000.053.0(+947)#153.0(+947)#18
19.42638, Kentucky1,000.054.0(+946)#253.0(+947)#19
20.26631, West Virginia1,000.050.0(+950)#353.0(+947)#20
21.76869, Texas1,000.057.0(+943)#353.0(+947)#21
22.82222, Wyoming1,000.064.0(+936)#153.0(+947)#22
23.70464, Louisiana1,000.057.0(+943)#153.0(+947)#23
24.18912, Pennsylvania1,000.053.0(+947)#253.0(+947)#24
25.18460, Pennsylvania1,000.053.0(+947)#353.0(+947)#25
26.26224, West Virginia1,000.050.0(+950)#453.0(+947)#26
27.65783, Missouri1,000.056.0(+944)#153.0(+947)#27
28.20667, Maryland1,000.052.0(+948)#153.0(+947)#28
29.78391, Texas1,000.057.0(+943)#453.0(+947)#29
30.30539, Georgia1,000.052.0(+948)#153.0(+947)#30
31.59530, Montana1,000.056.0(+944)#153.0(+947)#31
32.03291, New Hampshire1,000.048.0(+952)#153.0(+947)#32
33.50102, Iowa1,000.059.0(+941)#153.0(+947)#33
34.44619, Ohio1,000.056.0(+944)#153.0(+947)#34
35.57475, South Dakota1,000.066.0(+934)#153.0(+947)#35
36.71820, Arkansas1,000.055.0(+945)#253.0(+947)#36
37.64672, Missouri1,000.056.0(+944)#253.0(+947)#37
38.27202, North Carolina1,000.052.0(+948)#253.0(+947)#38
39.57574, South Dakota1,000.066.0(+934)#253.0(+947)#39
40.30751, Georgia1,000.052.0(+948)#253.0(+947)#40
41.84623, Utah1,000.060.0(+940)#153.0(+947)#41
42.79754, Texas1,000.057.0(+943)#553.0(+947)#42
43.41181, Kentucky1,000.054.0(+946)#353.0(+947)#43
44.50454, Iowa1,000.059.0(+941)#253.0(+947)#44
45.03238, New Hampshire1,000.048.0(+952)#253.0(+947)#45
46.78145, Texas1,000.057.0(+943)#653.0(+947)#46
47.39177, Mississippi1,000.057.0(+943)#153.0(+947)#47
48.98616, Washington1,000.053.0(+947)#153.0(+947)#48
49.12483, New York1,000.050.0(+950)#353.0(+947)#49
50.60519, Illinois1,000.052.0(+948)#253.0(+947)#50
51.64092, Missouri1,000.056.0(+944)#353.0(+947)#51
52.13643, New York1,000.050.0(+950)#453.0(+947)#52
53.57640, South Dakota1,000.066.0(+934)#353.0(+947)#53
54.12161, New York1,000.050.0(+950)#553.0(+947)#54
55.99105, Washington1,000.053.0(+947)#253.0(+947)#55
56.96010, California1,000.049.0(+951)#353.0(+947)#56
57.53962, Wisconsin1,000.052.0(+948)#153.0(+947)#57
58.83215, Idaho1,000.058.0(+942)#253.0(+947)#58
59.26289, West Virginia1,000.050.0(+950)#553.0(+947)#59
60.49084, Michigan1,000.053.0(+947)#153.0(+947)#60
61.27943, North Carolina981.052.0(+929)#353.0(+928)#61
62.78349, Texas914.057.0(+857)#753.0(+861)#62
63.17778, Pennsylvania889.053.0(+836)#453.0(+836)#63
64.79842, Texas867.057.0(+810)#853.0(+814)#64
65.67733, Kansas867.061.0(+806)#153.0(+814)#65
66.72629, Arkansas859.055.0(+804)#353.0(+806)#66
67.82648, Wyoming844.064.0(+780)#253.0(+791)#67
68.25267, West Virginia818.050.0(+768)#653.0(+765)#68
69.62940, Illinois786.052.0(+734)#353.0(+733)#69
70.80750, Colorado778.050.0(+728)#253.0(+725)#70
71.15662, Pennsylvania773.053.0(+720)#553.0(+720)#71
72.40170, Kentucky769.054.0(+715)#453.0(+716)#72
73.78385, Texas769.057.0(+712)#953.0(+716)#73
74.29816, South Carolina765.055.0(+710)#153.0(+712)#74
75.76957, Texas762.057.0(+705)#1053.0(+709)#75
76.22731, Virginia756.050.0(+706)#153.0(+703)#76
77.19511, Pennsylvania750.053.0(+697)#653.0(+697)#77
78.72617, Arkansas747.055.0(+692)#453.0(+694)#78
79.26203, West Virginia741.050.0(+691)#753.0(+688)#79
80.36790, Alabama733.052.0(+681)#253.0(+680)#80
81.58488, North Dakota733.068.0(+665)#153.0(+680)#81
82.12742, New York724.050.0(+674)#653.0(+671)#82
83.98819, Washington714.053.0(+661)#353.0(+661)#83
84.65702, Missouri714.056.0(+658)#453.0(+661)#84
85.43738, Ohio714.056.0(+658)#253.0(+661)#85
86.19435, Pennsylvania708.053.0(+655)#753.0(+655)#86
87.50860, Iowa706.059.0(+647)#353.0(+653)#87
88.95224, California704.049.0(+655)#453.0(+651)#88
89.26039, West Virginia700.050.0(+650)#853.0(+647)#89
90.67061, Kansas700.061.0(+639)#253.0(+647)#90
91.25651, West Virginia697.050.0(+647)#953.0(+644)#91
92.64422, Missouri696.056.0(+640)#553.0(+643)#92
93.39352, Mississippi692.057.0(+635)#253.0(+639)#93
94.25432, West Virginia692.050.0(+642)#1053.0(+639)#94
95.02663, Massachusetts688.046.0(+642)#153.0(+635)#95
96.68014, Nebraska684.062.0(+622)#153.0(+631)#96
97.65287, Missouri682.056.0(+626)#653.0(+629)#97
98.26348, West Virginia679.050.0(+629)#1153.0(+626)#98
99.70736, Louisiana675.057.0(+618)#253.0(+622)#99
100.59456, Montana667.056.0(+611)#253.0(+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.