Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina

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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
North Carolina
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina

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

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina

Zip Code Births / 1,000 Women vs State vs National
1.284471,000.052.0(+948)#153.0(+947)#1
2.272021,000.052.0(+948)#253.0(+947)#38
3.27943981.052.0(+929)#353.0(+928)#61
4.27259625.052.0(+573)#453.0(+572)#119
5.28542612.052.0(+560)#553.0(+559)#126
6.27972489.052.0(+437)#653.0(+436)#184
7.28663380.052.0(+328)#753.0(+327)#285
8.27978356.052.0(+304)#853.0(+303)#333
9.27861353.052.0(+301)#953.0(+300)#339
10.27897348.052.0(+296)#1053.0(+295)#344
11.28617331.052.0(+279)#1153.0(+278)#389
12.28665322.052.0(+270)#1253.0(+269)#400
13.27820294.052.0(+242)#1353.0(+241)#471
14.27846281.052.0(+229)#1453.0(+228)#519
15.27022264.052.0(+212)#1553.0(+211)#590
16.28587261.052.0(+209)#1653.0(+208)#604
17.28398256.052.0(+204)#1753.0(+203)#624
18.28702256.052.0(+204)#1853.0(+203)#631
19.28543251.052.0(+199)#1953.0(+198)#641
20.28430241.052.0(+189)#2053.0(+188)#706
21.28421211.052.0(+159)#2153.0(+158)#879
22.28375209.052.0(+157)#2253.0(+156)#895
23.28392195.052.0(+143)#2353.0(+142)#1,038
24.27553180.052.0(+128)#2453.0(+127)#1,210
25.27873173.052.0(+121)#2553.0(+120)#1,324
26.28463172.052.0(+120)#2653.0(+119)#1,326
27.28627161.052.0(+109)#2753.0(+108)#1,535
28.28439157.052.0(+105)#2853.0(+104)#1,621
29.28119156.052.0(+104)#2953.0(+103)#1,629
30.27825156.052.0(+104)#3053.0(+103)#1,640
31.28434154.052.0(+102)#3153.0(+101)#1,670
32.28103150.052.0(+98.0)#3253.0(+97.0)#1,740
33.28469150.052.0(+98.0)#3353.0(+97.0)#1,741
34.28683149.052.0(+97.0)#3453.0(+96.0)#1,773
35.28756144.052.0(+92.0)#3553.0(+91.0)#1,883
36.28344143.052.0(+91.0)#3653.0(+90.0)#1,909
37.27555143.052.0(+91.0)#3753.0(+90.0)#1,925
38.28169140.052.0(+88.0)#3853.0(+87.0)#2,011
39.27007138.052.0(+86.0)#3953.0(+85.0)#2,057
40.28606137.052.0(+85.0)#4053.0(+84.0)#2,093
41.28137136.052.0(+84.0)#4153.0(+83.0)#2,120
42.27890136.052.0(+84.0)#4253.0(+83.0)#2,123
43.27252134.052.0(+82.0)#4353.0(+81.0)#2,199
44.27853132.052.0(+80.0)#4453.0(+79.0)#2,274
45.28043131.052.0(+79.0)#4553.0(+78.0)#2,280
46.28540130.052.0(+78.0)#4653.0(+77.0)#2,303
47.28634130.052.0(+78.0)#4753.0(+77.0)#2,309
48.28649130.052.0(+78.0)#4853.0(+77.0)#2,327
49.28532129.052.0(+77.0)#4953.0(+76.0)#2,354
50.27983129.052.0(+77.0)#5053.0(+76.0)#2,356
51.28307127.052.0(+75.0)#5153.0(+74.0)#2,432
52.28501126.052.0(+74.0)#5253.0(+73.0)#2,473
53.28020126.052.0(+74.0)#5353.0(+73.0)#2,488
54.27051124.052.0(+72.0)#5453.0(+71.0)#2,559
55.28685121.052.0(+69.0)#5553.0(+68.0)#2,713
56.27019119.052.0(+67.0)#5653.0(+66.0)#2,775
57.28464118.052.0(+66.0)#5753.0(+65.0)#2,827
58.28425115.052.0(+63.0)#5853.0(+62.0)#2,965
59.27818113.052.0(+61.0)#5953.0(+60.0)#3,099
60.28746112.052.0(+60.0)#6053.0(+59.0)#3,145
61.28090111.052.0(+59.0)#6153.0(+58.0)#3,188
62.28367111.052.0(+59.0)#6253.0(+58.0)#3,238
63.27850110.052.0(+58.0)#6353.0(+57.0)#3,262
64.28572110.052.0(+58.0)#6453.0(+57.0)#3,264
65.28905110.052.0(+58.0)#6553.0(+57.0)#3,276
66.28091110.052.0(+58.0)#6653.0(+57.0)#3,284
67.27974109.052.0(+57.0)#6753.0(+56.0)#3,340
68.27325108.052.0(+56.0)#6853.0(+55.0)#3,382
69.27864108.052.0(+56.0)#6953.0(+55.0)#3,393
70.28580107.052.0(+55.0)#7053.0(+54.0)#3,430
71.28610107.052.0(+55.0)#7153.0(+54.0)#3,431
72.28363106.052.0(+54.0)#7253.0(+53.0)#3,556
73.27862105.052.0(+53.0)#7353.0(+52.0)#3,624
74.27316104.052.0(+52.0)#7453.0(+51.0)#3,653
75.28396104.052.0(+52.0)#7553.0(+51.0)#3,676
76.27962103.052.0(+51.0)#7653.0(+50.0)#3,717
77.27350103.052.0(+51.0)#7753.0(+50.0)#3,723
78.28658101.052.0(+49.0)#7853.0(+48.0)#3,867
79.28574101.052.0(+49.0)#7953.0(+48.0)#3,871
80.27958100.052.0(+48.0)#8053.0(+47.0)#3,930
81.2759799.052.0(+47.0)#8153.0(+46.0)#4,021
82.2814799.052.0(+47.0)#8253.0(+46.0)#4,023
83.2808698.052.0(+46.0)#8353.0(+45.0)#4,102
84.2740998.052.0(+46.0)#8453.0(+45.0)#4,105
85.2836598.052.0(+46.0)#8553.0(+45.0)#4,108
86.2844598.052.0(+46.0)#8653.0(+45.0)#4,118
87.2821297.052.0(+45.0)#8753.0(+44.0)#4,183
88.2843597.052.0(+45.0)#8853.0(+44.0)#4,246
89.2851395.052.0(+43.0)#8953.0(+42.0)#4,395
90.2788295.052.0(+43.0)#9053.0(+42.0)#4,401
91.2845395.052.0(+43.0)#9153.0(+42.0)#4,421
92.2834594.052.0(+42.0)#9253.0(+41.0)#4,497
93.2780594.052.0(+42.0)#9353.0(+41.0)#4,524
94.2758993.052.0(+41.0)#9453.0(+40.0)#4,587
95.2787892.052.0(+40.0)#9553.0(+39.0)#4,728
96.2842090.052.0(+38.0)#9653.0(+37.0)#4,921
97.2702589.052.0(+37.0)#9753.0(+36.0)#4,976
98.2816689.052.0(+37.0)#9853.0(+36.0)#4,981
99.2735789.052.0(+37.0)#9953.0(+36.0)#4,985
100.2752588.052.0(+36.0)#10053.0(+35.0)#5,081

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina are:
#1
1,000.0
#2
1,000.0
#3
981.0
#4
625.0
#5
612.0
#6
489.0
#7
380.0
#8
356.0
#9
353.0
#10
348.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in North Carolina?
28447 has the Most Births per 1,000 Women Below Poverty Level in North Carolina with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of North Carolina?
Number of Births per 1,000 Women Below Poverty Level in North Carolina is 52.0.
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.