Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama

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Highest 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
Alabama
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama

Zip Code Child Poverty (Girls) vs State vs National
1.35460100.0%22.6%(+77.4)#117.0%(+83.0)#54
2.35755100.0%22.6%(+77.4)#217.0%(+83.0)#150
3.36030100.0%22.6%(+77.4)#317.0%(+83.0)#197
4.35469100.0%22.6%(+77.4)#417.0%(+83.0)#220
5.36481100.0%22.6%(+77.4)#517.0%(+83.0)#235
6.35070100.0%22.6%(+77.4)#617.0%(+83.0)#331
7.36663100.0%22.6%(+77.4)#717.0%(+83.0)#338
8.36476100.0%22.6%(+77.4)#817.0%(+83.0)#385
9.3678595.8%22.6%(+73.2)#917.0%(+78.9)#406
10.3546485.0%22.6%(+62.4)#1017.0%(+68.0)#496
11.3672883.9%22.6%(+61.3)#1117.0%(+66.9)#514
12.3544381.8%22.6%(+59.2)#1217.0%(+64.8)#553
13.3608879.9%22.6%(+57.3)#1317.0%(+62.9)#599
14.3676779.4%22.6%(+56.8)#1417.0%(+62.5)#607
15.3626379.3%22.6%(+56.7)#1517.0%(+62.3)#609
16.3596377.8%22.6%(+55.2)#1617.0%(+60.8)#641
17.3647177.0%22.6%(+54.4)#1717.0%(+60.0)#658
18.3606976.2%22.6%(+53.6)#1817.0%(+59.2)#672
19.3658574.5%22.6%(+51.9)#1917.0%(+57.5)#717
20.3678673.9%22.6%(+51.3)#2017.0%(+56.9)#730
21.3604872.9%22.6%(+50.3)#2117.0%(+56.0)#763
22.3620571.9%22.6%(+49.3)#2217.0%(+54.9)#791
23.3691570.4%22.6%(+47.8)#2317.0%(+53.4)#834
24.3675669.0%22.6%(+46.4)#2417.0%(+52.0)#882
25.3601767.8%22.6%(+45.2)#2517.0%(+50.8)#918
26.3597967.2%22.6%(+44.6)#2617.0%(+50.2)#937
27.3685567.0%22.6%(+44.4)#2717.0%(+50.0)#941
28.3603266.2%22.6%(+43.6)#2817.0%(+49.2)#984
29.3521166.0%22.6%(+43.4)#2917.0%(+49.1)#989
30.3558265.2%22.6%(+42.6)#3017.0%(+48.2)#1,024
31.3661064.6%22.6%(+42.0)#3117.0%(+47.6)#1,042
32.3676963.9%22.6%(+41.3)#3217.0%(+46.9)#1,074
33.3670363.3%22.6%(+40.7)#3317.0%(+46.3)#1,105
34.3676163.2%22.6%(+40.6)#3417.0%(+46.2)#1,110
35.3610862.6%22.6%(+40.0)#3517.0%(+45.6)#1,133
36.3608962.3%22.6%(+39.7)#3617.0%(+45.3)#1,153
37.3661262.2%22.6%(+39.6)#3717.0%(+45.2)#1,157
38.3687161.9%22.6%(+39.3)#3817.0%(+44.9)#1,170
39.3503461.0%22.6%(+38.4)#3917.0%(+44.0)#1,205
40.3597261.0%22.6%(+38.4)#4017.0%(+44.0)#1,210
41.3501459.6%22.6%(+37.0)#4117.0%(+42.6)#1,290
42.3610559.4%22.6%(+36.8)#4217.0%(+42.4)#1,308
43.3521259.3%22.6%(+36.7)#4317.0%(+42.3)#1,310
44.3544259.0%22.6%(+36.4)#4417.0%(+42.0)#1,340
45.3674959.0%22.6%(+36.4)#4517.0%(+42.0)#1,342
46.3520358.7%22.6%(+36.1)#4617.0%(+41.8)#1,359
47.3557558.3%22.6%(+35.7)#4717.0%(+41.4)#1,374
48.3644158.1%22.6%(+35.5)#4817.0%(+41.1)#1,396
49.3677657.7%22.6%(+35.1)#4917.0%(+40.8)#1,422
50.3523457.5%22.6%(+34.9)#5017.0%(+40.5)#1,444
51.3610457.2%22.6%(+34.6)#5117.0%(+40.3)#1,456
52.3520757.0%22.6%(+34.4)#5217.0%(+40.0)#1,482
53.3672656.5%22.6%(+33.9)#5317.0%(+39.5)#1,514
54.3517856.5%22.6%(+33.9)#5417.0%(+39.5)#1,520
55.3631056.3%22.6%(+33.7)#5517.0%(+39.3)#1,533
56.3660556.0%22.6%(+33.5)#5617.0%(+39.1)#1,545
57.3558555.9%22.6%(+33.3)#5717.0%(+38.9)#1,558
58.3661755.8%22.6%(+33.2)#5817.0%(+38.8)#1,565
59.3502055.7%22.6%(+33.1)#5917.0%(+38.7)#1,570
60.3602754.9%22.6%(+32.3)#6017.0%(+37.9)#1,624
61.3602054.5%22.6%(+31.9)#6117.0%(+37.6)#1,651
62.3548054.2%22.6%(+31.6)#6217.0%(+37.2)#1,682
63.3517254.1%22.6%(+31.5)#6317.0%(+37.2)#1,691
64.3521454.1%22.6%(+31.5)#6417.0%(+37.1)#1,696
65.3580553.0%22.6%(+30.4)#6517.0%(+36.1)#1,768
66.3631752.7%22.6%(+30.1)#6617.0%(+35.8)#1,796
67.3658352.2%22.6%(+29.6)#6717.0%(+35.2)#1,853
68.3555052.0%22.6%(+29.4)#6817.0%(+35.1)#1,870
69.3577252.0%22.6%(+29.4)#6917.0%(+35.0)#1,883
70.3598451.6%22.6%(+29.0)#7017.0%(+34.6)#1,911
71.3590151.6%22.6%(+29.0)#7117.0%(+34.6)#1,916
72.3674451.5%22.6%(+28.9)#7217.0%(+34.5)#1,925
73.3546651.4%22.6%(+28.8)#7317.0%(+34.4)#1,928
74.3610750.5%22.6%(+27.9)#7417.0%(+33.5)#2,011
75.3674850.0%22.6%(+27.4)#7517.0%(+33.0)#2,035
76.3660349.9%22.6%(+27.3)#7617.0%(+33.0)#2,111
77.3654549.7%22.6%(+27.1)#7717.0%(+32.7)#2,122
78.3547649.3%22.6%(+26.7)#7817.0%(+32.3)#2,161
79.3522248.3%22.6%(+25.7)#7917.0%(+31.3)#2,255
80.3686348.0%22.6%(+25.4)#8017.0%(+31.0)#2,279
81.3690847.6%22.6%(+25.0)#8117.0%(+30.6)#2,316
82.3634447.4%22.6%(+24.8)#8217.0%(+30.4)#2,338
83.3604247.0%22.6%(+24.4)#8317.0%(+30.0)#2,390
84.3518446.6%22.6%(+24.0)#8417.0%(+29.7)#2,432
85.3680146.5%22.6%(+23.9)#8517.0%(+29.5)#2,444
86.3661145.9%22.6%(+23.3)#8617.0%(+28.9)#2,503
87.3554045.7%22.6%(+23.1)#8717.0%(+28.7)#2,524
88.3506345.6%22.6%(+23.0)#8817.0%(+28.6)#2,536
89.3654945.4%22.6%(+22.8)#8917.0%(+28.4)#2,568
90.3540145.3%22.6%(+22.7)#9017.0%(+28.3)#2,572
91.3547045.2%22.6%(+22.6)#9117.0%(+28.2)#2,580
92.3567044.7%22.6%(+22.1)#9217.0%(+27.7)#2,635
93.3643244.3%22.6%(+21.7)#9317.0%(+27.4)#2,691
94.3642544.1%22.6%(+21.5)#9417.0%(+27.1)#2,722
95.3611144.0%22.6%(+21.5)#9517.0%(+27.1)#2,723
96.3603343.9%22.6%(+21.3)#9617.0%(+26.9)#2,753
97.3611643.8%22.6%(+21.2)#9717.0%(+26.8)#2,765
98.3686743.7%22.6%(+21.1)#9817.0%(+26.8)#2,777
99.3565043.7%22.6%(+21.1)#9917.0%(+26.7)#2,781
100.3598743.6%22.6%(+21.0)#10017.0%(+26.6)#2,795

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
95.8%
#10
85.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama?
35460 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Alabama with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Alabama?
Poverty Level Among Girls Under the Age of 16 in Alabama is 22.6%.
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%.