Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina

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Lowest Poverty | Girls 0-16
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 Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina

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Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina Map

Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina

Zip Code Child Poverty (Girls) vs State vs National
1.284090.69%19.2%(-18.5)#117.0%(-16.3)#145
2.283730.74%19.2%(-18.5)#217.0%(-16.2)#174
3.289040.88%19.2%(-18.3)#317.0%(-16.1)#243
4.280360.92%19.2%(-18.3)#417.0%(-16.1)#271
5.287300.95%19.2%(-18.2)#517.0%(-16.0)#289
6.281291.2%19.2%(-18.0)#617.0%(-15.8)#435
7.285901.4%19.2%(-17.8)#717.0%(-15.6)#586
8.282071.6%19.2%(-17.6)#817.0%(-15.4)#740
9.279281.7%19.2%(-17.5)#917.0%(-15.3)#842
10.278601.8%19.2%(-17.4)#1017.0%(-15.2)#924
11.272311.9%19.2%(-17.3)#1117.0%(-15.1)#968
12.286222.0%19.2%(-17.2)#1217.0%(-15.0)#1,079
13.280752.1%19.2%(-17.1)#1317.0%(-14.9)#1,140
14.281372.1%19.2%(-17.1)#1417.0%(-14.9)#1,162
15.270452.3%19.2%(-16.9)#1517.0%(-14.7)#1,280
16.284362.4%19.2%(-16.8)#1617.0%(-14.6)#1,398
17.281072.4%19.2%(-16.8)#1717.0%(-14.6)#1,402
18.280782.5%19.2%(-16.7)#1817.0%(-14.5)#1,486
19.275392.6%19.2%(-16.6)#1917.0%(-14.4)#1,566
20.283572.6%19.2%(-16.6)#2017.0%(-14.4)#1,584
21.280882.7%19.2%(-16.5)#2117.0%(-14.2)#1,664
22.280372.7%19.2%(-16.5)#2217.0%(-14.2)#1,666
23.281042.7%19.2%(-16.4)#2317.0%(-14.2)#1,677
24.278782.8%19.2%(-16.4)#2417.0%(-14.2)#1,707
25.273102.8%19.2%(-16.4)#2517.0%(-14.2)#1,734
26.275743.0%19.2%(-16.2)#2617.0%(-13.9)#1,934
27.284613.1%19.2%(-16.1)#2717.0%(-13.9)#1,978
28.281143.1%19.2%(-16.1)#2817.0%(-13.9)#1,993
29.278063.1%19.2%(-16.1)#2917.0%(-13.9)#2,001
30.270503.1%19.2%(-16.1)#3017.0%(-13.9)#2,011
31.284113.3%19.2%(-15.9)#3117.0%(-13.7)#2,179
32.282783.4%19.2%(-15.8)#3217.0%(-13.6)#2,224
33.272443.5%19.2%(-15.7)#3317.0%(-13.4)#2,372
34.281013.6%19.2%(-15.6)#3417.0%(-13.4)#2,433
35.275233.6%19.2%(-15.6)#3517.0%(-13.3)#2,472
36.276173.7%19.2%(-15.5)#3617.0%(-13.3)#2,493
37.284213.7%19.2%(-15.5)#3717.0%(-13.3)#2,520
38.285263.8%19.2%(-15.3)#3817.0%(-13.1)#2,651
39.280803.9%19.2%(-15.3)#3917.0%(-13.1)#2,711
40.280793.9%19.2%(-15.3)#4017.0%(-13.1)#2,718
41.284654.0%19.2%(-15.2)#4117.0%(-13.0)#2,817
42.275024.0%19.2%(-15.1)#4217.0%(-12.9)#2,830
43.287214.1%19.2%(-15.1)#4317.0%(-12.9)#2,888
44.287534.1%19.2%(-15.1)#4417.0%(-12.8)#2,915
45.281174.1%19.2%(-15.0)#4517.0%(-12.8)#2,922
46.281664.1%19.2%(-15.0)#4617.0%(-12.8)#2,924
47.275624.2%19.2%(-15.0)#4717.0%(-12.8)#2,984
48.275404.4%19.2%(-14.8)#4817.0%(-12.6)#3,113
49.275184.5%19.2%(-14.7)#4917.0%(-12.5)#3,224
50.286924.5%19.2%(-14.7)#5017.0%(-12.5)#3,225
51.284294.5%19.2%(-14.7)#5117.0%(-12.5)#3,240
52.278394.5%19.2%(-14.7)#5217.0%(-12.5)#3,251
53.281254.5%19.2%(-14.7)#5317.0%(-12.5)#3,252
54.272484.6%19.2%(-14.6)#5417.0%(-12.4)#3,291
55.275174.7%19.2%(-14.5)#5517.0%(-12.3)#3,398
56.276074.8%19.2%(-14.4)#5617.0%(-12.2)#3,459
57.275094.9%19.2%(-14.3)#5717.0%(-12.1)#3,609
58.280915.0%19.2%(-14.2)#5817.0%(-12.0)#3,678
59.281195.1%19.2%(-14.1)#5917.0%(-11.9)#3,734
60.287595.1%19.2%(-14.1)#6017.0%(-11.8)#3,787
61.284565.1%19.2%(-14.1)#6117.0%(-11.8)#3,789
62.276155.1%19.2%(-14.1)#6217.0%(-11.8)#3,804
63.276135.2%19.2%(-14.0)#6317.0%(-11.8)#3,868
64.279245.2%19.2%(-14.0)#6417.0%(-11.8)#3,872
65.280335.2%19.2%(-14.0)#6517.0%(-11.7)#3,903
66.280275.2%19.2%(-13.9)#6617.0%(-11.7)#3,906
67.275875.3%19.2%(-13.9)#6717.0%(-11.7)#3,919
68.287015.3%19.2%(-13.9)#6817.0%(-11.6)#3,988
69.282095.4%19.2%(-13.8)#6917.0%(-11.6)#4,048
70.275195.4%19.2%(-13.8)#7017.0%(-11.6)#4,076
71.274085.4%19.2%(-13.8)#7117.0%(-11.6)#4,078
72.284505.4%19.2%(-13.8)#7217.0%(-11.5)#4,096
73.273555.5%19.2%(-13.7)#7317.0%(-11.5)#4,103
74.276145.5%19.2%(-13.7)#7417.0%(-11.5)#4,113
75.271045.6%19.2%(-13.6)#7517.0%(-11.3)#4,247
76.275915.8%19.2%(-13.4)#7617.0%(-11.2)#4,365
77.282705.8%19.2%(-13.4)#7717.0%(-11.2)#4,371
78.272525.8%19.2%(-13.4)#7817.0%(-11.1)#4,422
79.283325.9%19.2%(-13.3)#7917.0%(-11.1)#4,472
80.282776.0%19.2%(-13.2)#8017.0%(-10.9)#4,599
81.274556.1%19.2%(-13.1)#8117.0%(-10.9)#4,687
82.284696.1%19.2%(-13.1)#8217.0%(-10.8)#4,689
83.279546.3%19.2%(-12.9)#8317.0%(-10.7)#4,818
84.280316.4%19.2%(-12.8)#8417.0%(-10.6)#4,893
85.279376.4%19.2%(-12.8)#8517.0%(-10.5)#4,934
86.284606.5%19.2%(-12.7)#8617.0%(-10.5)#5,002
87.275296.6%19.2%(-12.6)#8717.0%(-10.4)#5,078
88.281156.7%19.2%(-12.5)#8817.0%(-10.3)#5,152
89.282736.7%19.2%(-12.5)#8917.0%(-10.3)#5,161
90.275016.7%19.2%(-12.5)#9017.0%(-10.2)#5,181
91.287406.7%19.2%(-12.5)#9117.0%(-10.2)#5,182
92.281736.8%19.2%(-12.4)#9217.0%(-10.2)#5,191
93.286436.9%19.2%(-12.3)#9317.0%(-10.1)#5,282
94.273566.9%19.2%(-12.3)#9417.0%(-10.0)#5,334
95.275146.9%19.2%(-12.3)#9517.0%(-10.0)#5,346
96.287097.0%19.2%(-12.2)#9617.0%(-9.94)#5,426
97.287427.1%19.2%(-12.1)#9717.0%(-9.92)#5,440
98.286057.1%19.2%(-12.1)#9817.0%(-9.91)#5,453
99.280187.1%19.2%(-12.1)#9917.0%(-9.85)#5,485
100.286097.1%19.2%(-12.1)#10017.0%(-9.83)#5,494

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina are:
#1
0.69%
#2
0.74%
#3
0.88%
#4
0.92%
#5
0.95%
#6
1.2%
#7
1.4%
#8
1.6%
#9
1.7%
#10
1.8%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina?
28409 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in North Carolina with 0.69%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of North Carolina?
Poverty Level Among Girls Under the Age of 16 in North Carolina is 19.2%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.