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

RELATED REPORTS & OPTIONS

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
Mississippi
Compare Zip Codes
Comparison Subject

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

40.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Mississippi Map

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

Zip Code Child Poverty (Girls) vs State vs National
1. 38647 100.0% 27.2% (+72.8)#1 17.0% (+83.0)#63
2. 38961 100.0% 27.2% (+72.8)#2 17.0% (+83.0)#101
3. 38920 100.0% 27.2% (+72.8)#3 17.0% (+83.0)#103
4. 39737 100.0% 27.2% (+72.8)#4 17.0% (+83.0)#195
5. 38928 100.0% 27.2% (+72.8)#5 17.0% (+83.0)#210
6. 38844 100.0% 27.2% (+72.8)#6 17.0% (+83.0)#232
7. 38944 100.0% 27.2% (+72.8)#7 17.0% (+83.0)#234
8. 39656 97.6% 27.2% (+70.4)#8 17.0% (+80.6)#404
9. 38746 94.5% 27.2% (+67.3)#9 17.0% (+77.6)#412
10. 38722 90.9% 27.2% (+63.7)#10 17.0% (+73.9)#431
11. 38621 84.9% 27.2% (+57.7)#11 17.0% (+67.9)#500
12. 39082 83.0% 27.2% (+55.8)#12 17.0% (+66.1)#530
13. 39358 83.0% 27.2% (+55.8)#13 17.0% (+66.0)#531
14. 39643 81.7% 27.2% (+54.5)#14 17.0% (+64.7)#558
15. 38778 81.6% 27.2% (+54.4)#15 17.0% (+64.6)#560
16. 38769 81.4% 27.2% (+54.2)#16 17.0% (+64.5)#564
17. 39421 79.8% 27.2% (+52.6)#17 17.0% (+62.8)#601
18. 38913 78.9% 27.2% (+51.7)#18 17.0% (+62.0)#618
19. 38762 77.3% 27.2% (+50.1)#19 17.0% (+60.4)#651
20. 39054 77.3% 27.2% (+50.1)#20 17.0% (+60.3)#653
21. 38617 74.7% 27.2% (+47.5)#21 17.0% (+57.8)#710
22. 38643 74.4% 27.2% (+47.2)#22 17.0% (+57.4)#718
23. 39204 74.0% 27.2% (+46.8)#23 17.0% (+57.0)#727
24. 39364 73.9% 27.2% (+46.6)#24 17.0% (+56.9)#734
25. 39631 72.3% 27.2% (+45.1)#25 17.0% (+55.3)#781
26. 39057 71.8% 27.2% (+44.6)#26 17.0% (+54.8)#792
27. 38737 70.1% 27.2% (+42.9)#27 17.0% (+53.1)#839
28. 39096 70.0% 27.2% (+42.8)#28 17.0% (+53.0)#842
29. 38631 67.7% 27.2% (+40.5)#29 17.0% (+50.7)#923
30. 38721 67.2% 27.2% (+40.0)#30 17.0% (+50.2)#936
31. 39169 66.8% 27.2% (+39.5)#31 17.0% (+49.8)#944
32. 39307 65.7% 27.2% (+38.5)#32 17.0% (+48.8)#996
33. 39755 65.6% 27.2% (+38.4)#33 17.0% (+48.6)#1,001
34. 39736 65.5% 27.2% (+38.2)#34 17.0% (+48.5)#1,010
35. 39363 65.3% 27.2% (+38.1)#35 17.0% (+48.3)#1,014
36. 39501 64.9% 27.2% (+37.7)#36 17.0% (+47.9)#1,035
37. 39179 64.4% 27.2% (+37.2)#37 17.0% (+47.4)#1,054
38. 38664 64.3% 27.2% (+37.1)#38 17.0% (+47.3)#1,056
39. 39747 64.3% 27.2% (+37.1)#39 17.0% (+47.3)#1,058
40. 39645 62.8% 27.2% (+35.6)#40 17.0% (+45.8)#1,127
41. 38639 62.1% 27.2% (+34.9)#41 17.0% (+45.1)#1,160
42. 38922 61.7% 27.2% (+34.5)#42 17.0% (+44.7)#1,176
43. 38754 60.4% 27.2% (+33.2)#43 17.0% (+43.4)#1,244
44. 38761 59.0% 27.2% (+31.8)#44 17.0% (+42.0)#1,339
45. 39213 58.4% 27.2% (+31.2)#45 17.0% (+41.4)#1,372
46. 38744 57.6% 27.2% (+30.4)#46 17.0% (+40.7)#1,427
47. 39633 57.1% 27.2% (+29.9)#47 17.0% (+40.2)#1,465
48. 39771 57.1% 27.2% (+29.9)#48 17.0% (+40.2)#1,474
49. 38603 57.0% 27.2% (+29.8)#49 17.0% (+40.0)#1,480
50. 38676 55.9% 27.2% (+28.7)#50 17.0% (+39.0)#1,554
51. 39194 55.5% 27.2% (+28.3)#51 17.0% (+38.5)#1,589
52. 38914 54.6% 27.2% (+27.4)#52 17.0% (+37.7)#1,645
53. 38670 54.5% 27.2% (+27.2)#53 17.0% (+37.5)#1,661
54. 39462 54.2% 27.2% (+27.0)#54 17.0% (+37.3)#1,679
55. 39345 53.7% 27.2% (+26.5)#55 17.0% (+36.7)#1,717
56. 38957 53.7% 27.2% (+26.5)#56 17.0% (+36.7)#1,719
57. 39328 53.1% 27.2% (+25.9)#57 17.0% (+36.1)#1,762
58. 38703 53.0% 27.2% (+25.8)#58 17.0% (+36.0)#1,777
59. 39038 52.4% 27.2% (+25.2)#59 17.0% (+35.4)#1,828
60. 38748 52.0% 27.2% (+24.8)#60 17.0% (+35.0)#1,877
61. 39083 51.9% 27.2% (+24.7)#61 17.0% (+34.9)#1,888
62. 39630 51.1% 27.2% (+23.9)#62 17.0% (+34.1)#1,965
63. 39530 51.0% 27.2% (+23.8)#63 17.0% (+34.0)#1,978
64. 38773 50.7% 27.2% (+23.5)#64 17.0% (+33.7)#2,000
65. 39067 50.5% 27.2% (+23.2)#65 17.0% (+33.5)#2,012
66. 39090 49.3% 27.2% (+22.1)#66 17.0% (+32.3)#2,163
67. 38860 49.0% 27.2% (+21.8)#67 17.0% (+32.1)#2,179
68. 39209 48.4% 27.2% (+21.2)#68 17.0% (+31.4)#2,247
69. 38950 48.0% 27.2% (+20.8)#69 17.0% (+31.0)#2,282
70. 39428 47.9% 27.2% (+20.7)#70 17.0% (+31.0)#2,287
71. 39701 47.9% 27.2% (+20.7)#71 17.0% (+30.9)#2,289
72. 39440 47.2% 27.2% (+20.0)#72 17.0% (+30.2)#2,368
73. 38732 46.6% 27.2% (+19.4)#73 17.0% (+29.6)#2,435
74. 39079 46.0% 27.2% (+18.8)#74 17.0% (+29.1)#2,485
75. 39657 46.0% 27.2% (+18.8)#75 17.0% (+29.0)#2,488
76. 38774 45.9% 27.2% (+18.7)#76 17.0% (+28.9)#2,501
77. 39339 45.8% 27.2% (+18.6)#77 17.0% (+28.8)#2,520
78. 38967 45.4% 27.2% (+18.2)#78 17.0% (+28.4)#2,567
79. 39362 45.2% 27.2% (+18.0)#79 17.0% (+28.3)#2,577
80. 39078 45.1% 27.2% (+17.9)#80 17.0% (+28.2)#2,591
81. 39667 44.9% 27.2% (+17.7)#81 17.0% (+28.0)#2,607
82. 39648 44.9% 27.2% (+17.7)#82 17.0% (+27.9)#2,610
83. 38730 44.8% 27.2% (+17.6)#83 17.0% (+27.9)#2,619
84. 39455 44.7% 27.2% (+17.5)#84 17.0% (+27.7)#2,634
85. 38614 44.7% 27.2% (+17.5)#85 17.0% (+27.7)#2,643
86. 39653 44.2% 27.2% (+16.9)#86 17.0% (+27.2)#2,711
87. 39668 43.8% 27.2% (+16.6)#87 17.0% (+26.8)#2,760
88. 39069 43.6% 27.2% (+16.4)#88 17.0% (+26.6)#2,801
89. 38850 43.5% 27.2% (+16.3)#89 17.0% (+26.5)#2,810
90. 38619 43.5% 27.2% (+16.3)#90 17.0% (+26.5)#2,811
91. 39350 43.0% 27.2% (+15.8)#91 17.0% (+26.0)#2,883
92. 39540 42.6% 27.2% (+15.4)#92 17.0% (+25.6)#2,944
93. 38917 42.6% 27.2% (+15.4)#93 17.0% (+25.6)#2,945
94. 38901 42.5% 27.2% (+15.3)#94 17.0% (+25.6)#2,953
95. 39168 42.5% 27.2% (+15.3)#95 17.0% (+25.5)#2,956
96. 39553 42.5% 27.2% (+15.3)#96 17.0% (+25.5)#2,959
97. 39365 42.4% 27.2% (+15.2)#97 17.0% (+25.4)#2,976
98. 38930 42.2% 27.2% (+15.0)#98 17.0% (+25.3)#3,002
99. 39322 42.0% 27.2% (+14.8)#99 17.0% (+25.1)#3,033
100. 38701 41.9% 27.2% (+14.6)#100 17.0% (+24.9)#3,054

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Mississippi?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Mississippi are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
97.6%
#9
94.5%
#10
90.9%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Mississippi?
38647 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Mississippi with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Mississippi?
Poverty Level Among Girls Under the Age of 16 in Mississippi is 27.2%.
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%.