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

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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
Mississippi
Compare Zip Codes
Comparison Subject

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

20.0%
0.0%
Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Mississippi Map

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

Zip Code Child Poverty (Girls) vs State vs National
1. 38651 0.78% 27.2% (-26.4)#1 17.0% (-16.2)#191
2. 39338 0.80% 27.2% (-26.4)#2 17.0% (-16.2)#201
3. 39330 0.83% 27.2% (-26.4)#3 17.0% (-16.1)#214
4. 39740 1.0% 27.2% (-26.2)#4 17.0% (-16.0)#342
5. 38843 1.4% 27.2% (-25.8)#5 17.0% (-15.6)#595
6. 39140 1.5% 27.2% (-25.7)#6 17.0% (-15.5)#683
7. 39108 1.8% 27.2% (-25.4)#7 17.0% (-15.2)#906
8. 39116 2.1% 27.2% (-25.1)#8 17.0% (-14.8)#1,185
9. 38856 2.4% 27.2% (-24.8)#9 17.0% (-14.6)#1,421
10. 39480 2.6% 27.2% (-24.6)#10 17.0% (-14.4)#1,559
11. 38672 3.0% 27.2% (-24.2)#11 17.0% (-13.9)#1,956
12. 39751 3.0% 27.2% (-24.2)#12 17.0% (-13.9)#1,960
13. 38948 3.2% 27.2% (-24.0)#13 17.0% (-13.8)#2,114
14. 39347 3.3% 27.2% (-23.9)#14 17.0% (-13.6)#2,200
15. 39153 3.7% 27.2% (-23.5)#15 17.0% (-13.3)#2,534
16. 39766 4.1% 27.2% (-23.1)#16 17.0% (-12.9)#2,881
17. 39746 4.1% 27.2% (-23.1)#17 17.0% (-12.8)#2,920
18. 38857 4.4% 27.2% (-22.8)#18 17.0% (-12.6)#3,145
19. 39560 4.4% 27.2% (-22.8)#19 17.0% (-12.6)#3,170
20. 39110 4.5% 27.2% (-22.7)#20 17.0% (-12.4)#3,259
21. 39113 4.8% 27.2% (-22.4)#21 17.0% (-12.2)#3,485
22. 39325 4.8% 27.2% (-22.4)#22 17.0% (-12.2)#3,513
23. 38940 5.2% 27.2% (-22.0)#23 17.0% (-11.8)#3,854
24. 39041 5.5% 27.2% (-21.7)#24 17.0% (-11.5)#4,160
25. 39162 5.6% 27.2% (-21.7)#25 17.0% (-11.4)#4,209
26. 38606 5.8% 27.2% (-21.4)#26 17.0% (-11.1)#4,418
27. 38620 6.1% 27.2% (-21.1)#27 17.0% (-10.9)#4,646
28. 38654 6.4% 27.2% (-20.8)#28 17.0% (-10.6)#4,919
29. 39272 6.6% 27.2% (-20.6)#29 17.0% (-10.4)#5,035
30. 39564 6.6% 27.2% (-20.6)#30 17.0% (-10.4)#5,070
31. 38846 6.6% 27.2% (-20.6)#31 17.0% (-10.4)#5,077
32. 38632 6.7% 27.2% (-20.5)#32 17.0% (-10.3)#5,105
33. 39056 6.8% 27.2% (-20.4)#33 17.0% (-10.2)#5,214
34. 38855 6.8% 27.2% (-20.4)#34 17.0% (-10.1)#5,251
35. 38753 6.9% 27.2% (-20.3)#35 17.0% (-10.1)#5,320
36. 39752 7.1% 27.2% (-20.2)#36 17.0% (-9.92)#5,436
37. 39705 7.2% 27.2% (-20.0)#37 17.0% (-9.77)#5,564
38. 39159 7.4% 27.2% (-19.8)#38 17.0% (-9.62)#5,685
39. 38828 7.5% 27.2% (-19.7)#39 17.0% (-9.48)#5,818
40. 38871 7.5% 27.2% (-19.7)#40 17.0% (-9.47)#5,838
41. 39042 7.7% 27.2% (-19.5)#41 17.0% (-9.24)#6,069
42. 39423 7.8% 27.2% (-19.4)#42 17.0% (-9.13)#6,173
43. 39629 8.6% 27.2% (-18.6)#43 17.0% (-8.34)#6,771
44. 38658 8.9% 27.2% (-18.3)#44 17.0% (-8.03)#7,025
45. 39565 9.1% 27.2% (-18.1)#45 17.0% (-7.91)#7,117
46. 39346 9.1% 27.2% (-18.1)#46 17.0% (-7.89)#7,132
47. 39175 9.2% 27.2% (-18.0)#47 17.0% (-7.77)#7,218
48. 38849 9.5% 27.2% (-17.7)#48 17.0% (-7.49)#7,444
49. 39047 9.6% 27.2% (-17.7)#49 17.0% (-7.42)#7,499
50. 39335 9.6% 27.2% (-17.6)#50 17.0% (-7.39)#7,524
51. 39525 9.8% 27.2% (-17.4)#51 17.0% (-7.16)#7,733
52. 39573 9.9% 27.2% (-17.3)#52 17.0% (-7.10)#7,762
53. 39531 9.9% 27.2% (-17.3)#53 17.0% (-7.09)#7,769
54. 38610 9.9% 27.2% (-17.3)#54 17.0% (-7.04)#7,819
55. 38601 11.2% 27.2% (-16.0)#55 17.0% (-5.81)#8,741
56. 39425 11.2% 27.2% (-16.0)#56 17.0% (-5.74)#8,796
57. 39145 11.6% 27.2% (-15.6)#57 17.0% (-5.40)#9,020
58. 39062 11.8% 27.2% (-15.4)#58 17.0% (-5.21)#9,162
59. 39354 11.9% 27.2% (-15.3)#59 17.0% (-5.06)#9,281
60. 39576 12.1% 27.2% (-15.2)#60 17.0% (-4.92)#9,347
61. 38725 12.1% 27.2% (-15.1)#61 17.0% (-4.90)#9,365
62. 39208 12.1% 27.2% (-15.1)#62 17.0% (-4.87)#9,380
63. 39170 12.2% 27.2% (-15.0)#63 17.0% (-4.77)#9,462
64. 38924 12.2% 27.2% (-15.0)#64 17.0% (-4.73)#9,502
65. 39332 12.4% 27.2% (-14.8)#65 17.0% (-4.61)#9,579
66. 38611 12.4% 27.2% (-14.8)#66 17.0% (-4.57)#9,595
67. 39211 12.6% 27.2% (-14.6)#67 17.0% (-4.39)#9,719
68. 39475 12.9% 27.2% (-14.3)#68 17.0% (-4.06)#9,946
69. 39361 13.2% 27.2% (-14.0)#69 17.0% (-3.73)#10,169
70. 39336 13.3% 27.2% (-13.9)#70 17.0% (-3.64)#10,236
71. 38847 13.4% 27.2% (-13.8)#71 17.0% (-3.53)#10,306
72. 39465 13.5% 27.2% (-13.7)#72 17.0% (-3.48)#10,346
73. 38652 14.0% 27.2% (-13.2)#73 17.0% (-2.99)#10,682
74. 39744 14.1% 27.2% (-13.1)#74 17.0% (-2.85)#10,776
75. 39456 14.4% 27.2% (-12.8)#75 17.0% (-2.59)#10,959
76. 39750 14.5% 27.2% (-12.7)#76 17.0% (-2.50)#11,009
77. 38963 14.7% 27.2% (-12.6)#77 17.0% (-2.32)#11,120
78. 38821 14.8% 27.2% (-12.4)#78 17.0% (-2.21)#11,189
79. 38927 14.9% 27.2% (-12.3)#79 17.0% (-2.04)#11,301
80. 39451 15.0% 27.2% (-12.2)#80 17.0% (-1.98)#11,344
81. 39735 15.1% 27.2% (-12.1)#81 17.0% (-1.91)#11,405
82. 39470 15.3% 27.2% (-11.9)#82 17.0% (-1.67)#11,558
83. 39040 15.5% 27.2% (-11.7)#83 17.0% (-1.45)#11,709
84. 38866 15.6% 27.2% (-11.6)#84 17.0% (-1.37)#11,745
85. 39180 15.7% 27.2% (-11.5)#85 17.0% (-1.26)#11,810
86. 38824 15.9% 27.2% (-11.3)#86 17.0% (-1.11)#11,906
87. 39507 16.2% 27.2% (-11.0)#87 17.0% (-0.786)#12,108
88. 38642 16.5% 27.2% (-10.7)#88 17.0% (-0.462)#12,288
89. 39730 16.8% 27.2% (-10.4)#89 17.0% (-0.193)#12,464
90. 38965 17.1% 27.2% (-10.1)#90 17.0% (+0.125)#12,652
91. 39532 17.1% 27.2% (-10.1)#91 17.0% (+0.136)#12,658
92. 39477 17.1% 27.2% (-10.1)#92 17.0% (+0.167)#12,675
93. 38858 17.3% 27.2% (-9.92)#93 17.0% (+0.314)#12,767
94. 38756 17.8% 27.2% (-9.44)#94 17.0% (+0.790)#13,055
95. 39071 18.2% 27.2% (-9.00)#95 17.0% (+1.23)#13,292
96. 39094 18.2% 27.2% (-8.97)#96 17.0% (+1.26)#13,301
97. 39556 18.4% 27.2% (-8.80)#97 17.0% (+1.43)#13,396
98. 38633 18.5% 27.2% (-8.74)#98 17.0% (+1.49)#13,445
99. 38833 18.6% 27.2% (-8.57)#99 17.0% (+1.66)#13,543
100. 38655 18.9% 27.2% (-8.33)#100 17.0% (+1.90)#13,686

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Mississippi?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Mississippi are:
#1
0.78%
#2
0.80%
#3
0.83%
#4
1.0%
#5
1.4%
#6
1.5%
#7
1.8%
#8
2.1%
#9
2.4%
#10
2.6%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Mississippi?
38651 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Mississippi with 0.78%.
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%.