Zip Codes with the Lowest Female Poverty Level in Mississippi

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Lowest Poverty | Female
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 Female Poverty Level in Mississippi

20.0%
0.0%
Zip Codes with the Lowest Female Poverty Level in Mississippi Map

Zip Codes with the Lowest Female Poverty Level in Mississippi

Zip Code Female Poverty vs State vs National
1. 38859 2.0% 21.0% (-19.0)#1 13.7% (-11.7)#709
2. 38764 2.2% 21.0% (-18.8)#2 13.7% (-11.5)#847
3. 38759 2.8% 21.0% (-18.2)#3 13.7% (-10.9)#1,295
4. 38651 2.9% 21.0% (-18.1)#4 13.7% (-10.8)#1,387
5. 39480 2.9% 21.0% (-18.1)#5 13.7% (-10.8)#1,440
6. 39320 3.2% 21.0% (-17.8)#6 13.7% (-10.5)#1,716
7. 38672 3.4% 21.0% (-17.6)#7 13.7% (-10.3)#1,918
8. 39110 4.2% 21.0% (-16.9)#8 13.7% (-9.54)#2,793
9. 39162 5.4% 21.0% (-15.6)#9 13.7% (-8.27)#4,653
10. 39323 5.5% 21.0% (-15.5)#10 13.7% (-8.19)#4,778
11. 39201 5.7% 21.0% (-15.3)#11 13.7% (-7.97)#5,108
12. 39272 5.8% 21.0% (-15.3)#12 13.7% (-7.95)#5,139
13. 38654 5.8% 21.0% (-15.2)#13 13.7% (-7.87)#5,254
14. 39335 5.9% 21.0% (-15.2)#14 13.7% (-7.85)#5,288
15. 39766 5.9% 21.0% (-15.1)#15 13.7% (-7.81)#5,354
16. 39746 6.1% 21.0% (-15.0)#16 13.7% (-7.64)#5,628
17. 39149 6.6% 21.0% (-14.4)#17 13.7% (-7.10)#6,451
18. 39525 6.6% 21.0% (-14.4)#18 13.7% (-7.10)#6,452
19. 38952 6.6% 21.0% (-14.4)#19 13.7% (-7.08)#6,488
20. 39042 6.9% 21.0% (-14.1)#20 13.7% (-6.76)#7,031
21. 39359 7.0% 21.0% (-14.0)#21 13.7% (-6.68)#7,173
22. 38849 7.5% 21.0% (-13.6)#22 13.7% (-6.24)#7,904
23. 39047 7.8% 21.0% (-13.2)#23 13.7% (-5.90)#8,386
24. 38632 7.8% 21.0% (-13.2)#24 13.7% (-5.85)#8,465
25. 39560 8.2% 21.0% (-12.8)#25 13.7% (-5.50)#9,026
26. 38658 8.3% 21.0% (-12.8)#26 13.7% (-5.44)#9,113
27. 38644 8.3% 21.0% (-12.7)#27 13.7% (-5.37)#9,230
28. 39752 8.8% 21.0% (-12.3)#28 13.7% (-4.92)#9,957
29. 38923 8.8% 21.0% (-12.2)#29 13.7% (-4.92)#9,958
30. 38871 8.8% 21.0% (-12.2)#30 13.7% (-4.89)#10,007
31. 39157 8.9% 21.0% (-12.1)#31 13.7% (-4.79)#10,180
32. 38847 9.0% 21.0% (-12.0)#32 13.7% (-4.69)#10,346
33. 38828 9.1% 21.0% (-11.9)#33 13.7% (-4.58)#10,517
34. 39740 9.2% 21.0% (-11.8)#34 13.7% (-4.51)#10,618
35. 38951 9.2% 21.0% (-11.8)#35 13.7% (-4.49)#10,656
36. 38846 9.5% 21.0% (-11.5)#36 13.7% (-4.18)#11,149
37. 38857 9.7% 21.0% (-11.3)#37 13.7% (-3.98)#11,487
38. 39170 9.8% 21.0% (-11.2)#38 13.7% (-3.86)#11,688
39. 39354 9.8% 21.0% (-11.2)#39 13.7% (-3.85)#11,698
40. 39564 10.0% 21.0% (-11.1)#40 13.7% (-3.74)#11,866
41. 38627 10.0% 21.0% (-11.0)#41 13.7% (-3.68)#11,976
42. 39211 10.2% 21.0% (-10.9)#42 13.7% (-3.54)#12,160
43. 39056 10.4% 21.0% (-10.6)#43 13.7% (-3.28)#12,552
44. 39208 10.5% 21.0% (-10.6)#44 13.7% (-3.25)#12,603
45. 39094 10.5% 21.0% (-10.6)#45 13.7% (-3.24)#12,605
46. 39705 10.6% 21.0% (-10.5)#46 13.7% (-3.12)#12,767
47. 39330 10.7% 21.0% (-10.4)#47 13.7% (-3.04)#12,885
48. 38940 10.7% 21.0% (-10.3)#48 13.7% (-2.97)#12,981
49. 38610 10.9% 21.0% (-10.1)#49 13.7% (-2.75)#13,289
50. 39156 11.0% 21.0% (-10.1)#50 13.7% (-2.73)#13,338
51. 38601 11.2% 21.0% (-9.82)#51 13.7% (-2.49)#13,682
52. 38685 11.2% 21.0% (-9.81)#52 13.7% (-2.48)#13,702
53. 38876 11.2% 21.0% (-9.78)#53 13.7% (-2.45)#13,756
54. 38948 11.3% 21.0% (-9.69)#54 13.7% (-2.36)#13,867
55. 38866 11.4% 21.0% (-9.67)#55 13.7% (-2.34)#13,905
56. 39565 11.5% 21.0% (-9.56)#56 13.7% (-2.23)#14,078
57. 39361 11.5% 21.0% (-9.51)#57 13.7% (-2.18)#14,147
58. 39040 11.6% 21.0% (-9.38)#58 13.7% (-2.05)#14,348
59. 39669 11.7% 21.0% (-9.35)#59 13.7% (-2.02)#14,386
60. 38870 11.7% 21.0% (-9.29)#60 13.7% (-1.96)#14,474
61. 38855 11.8% 21.0% (-9.26)#61 13.7% (-1.93)#14,519
62. 39154 12.0% 21.0% (-9.08)#62 13.7% (-1.75)#14,766
63. 39325 12.1% 21.0% (-8.91)#63 13.7% (-1.58)#14,993
64. 39041 12.1% 21.0% (-8.88)#64 13.7% (-1.56)#15,013
65. 38821 12.2% 21.0% (-8.78)#65 13.7% (-1.45)#15,170
66. 39532 12.3% 21.0% (-8.71)#66 13.7% (-1.38)#15,270
67. 38606 12.5% 21.0% (-8.54)#67 13.7% (-1.21)#15,476
68. 38839 12.5% 21.0% (-8.53)#68 13.7% (-1.20)#15,515
69. 38943 12.7% 21.0% (-8.36)#69 13.7% (-1.03)#15,715
70. 38623 12.8% 21.0% (-8.26)#70 13.7% (-0.933)#15,842
71. 38661 12.9% 21.0% (-8.13)#71 13.7% (-0.804)#16,023
72. 38843 13.1% 21.0% (-7.93)#72 13.7% (-0.602)#16,278
73. 39096 13.1% 21.0% (-7.91)#73 13.7% (-0.584)#16,303
74. 39423 13.2% 21.0% (-7.78)#74 13.7% (-0.457)#16,473
75. 38652 13.2% 21.0% (-7.78)#75 13.7% (-0.455)#16,475
76. 39426 13.3% 21.0% (-7.74)#76 13.7% (-0.414)#16,544
77. 39470 13.3% 21.0% (-7.72)#77 13.7% (-0.392)#16,566
78. 39776 13.4% 21.0% (-7.63)#78 13.7% (-0.301)#16,682
79. 38963 13.5% 21.0% (-7.53)#79 13.7% (-0.201)#16,818
80. 38929 13.6% 21.0% (-7.45)#80 13.7% (-0.117)#16,934
81. 39073 13.8% 21.0% (-7.22)#81 13.7% (+0.108)#17,224
82. 39145 13.8% 21.0% (-7.22)#82 13.7% (+0.112)#17,228
83. 39531 14.0% 21.0% (-7.07)#83 13.7% (+0.256)#17,409
84. 39561 14.0% 21.0% (-7.01)#84 13.7% (+0.322)#17,480
85. 38856 14.1% 21.0% (-6.91)#85 13.7% (+0.422)#17,608
86. 38826 14.3% 21.0% (-6.70)#86 13.7% (+0.628)#17,855
87. 39189 14.4% 21.0% (-6.58)#87 13.7% (+0.745)#17,984
88. 39425 14.5% 21.0% (-6.57)#88 13.7% (+0.753)#17,991
89. 39177 14.5% 21.0% (-6.48)#89 13.7% (+0.846)#18,108
90. 39573 14.6% 21.0% (-6.44)#90 13.7% (+0.888)#18,150
91. 38873 14.6% 21.0% (-6.40)#91 13.7% (+0.931)#18,197
92. 39481 14.7% 21.0% (-6.38)#92 13.7% (+0.952)#18,233
93. 38680 14.7% 21.0% (-6.37)#93 13.7% (+0.963)#18,250
94. 39140 14.7% 21.0% (-6.36)#94 13.7% (+0.968)#18,255
95. 38618 14.7% 21.0% (-6.34)#95 13.7% (+0.985)#18,281
96. 39422 14.7% 21.0% (-6.28)#96 13.7% (+1.04)#18,344
97. 39755 14.9% 21.0% (-6.14)#97 13.7% (+1.19)#18,496
98. 39571 14.9% 21.0% (-6.12)#98 13.7% (+1.21)#18,521
99. 39475 15.0% 21.0% (-6.07)#99 13.7% (+1.26)#18,589
100. 38611 15.0% 21.0% (-6.01)#100 13.7% (+1.32)#18,665

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in Mississippi?
Top 10 Zip Codes with the Lowest Female Poverty Level in Mississippi are:
#1
2.0%
#2
2.2%
#3
2.8%
#4
2.9%
#5
2.9%
#6
3.2%
#7
3.4%
#8
4.2%
#9
5.4%
#10
5.5%
What zip code has the Lowest Female Poverty Level in Mississippi?
38859 has the Lowest Female Poverty Level in Mississippi with 2.0%.
What is the Poverty Level Among Females in the State of Mississippi?
Poverty Level Among Females in Mississippi is 21.0%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.