Zip Codes with the Highest Poverty Level Among Single Females in Mississippi

RELATED REPORTS & OPTIONS

Highest Poverty | Single 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 Highest Poverty Level Among Single Females in Mississippi

40.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Females in Mississippi Map

Zip Codes with the Highest Poverty Level Among Single Females in Mississippi

Zip Code Single Female Poverty vs State vs National
1. 39664 100.0% 34.9% (+65.1)#1 24.1% (+75.9)#20
2. 38647 100.0% 34.9% (+65.1)#2 24.1% (+75.9)#184
3. 38859 100.0% 34.9% (+65.1)#3 24.1% (+75.9)#210
4. 39201 100.0% 34.9% (+65.1)#4 24.1% (+75.9)#216
5. 39737 100.0% 34.9% (+65.1)#5 24.1% (+75.9)#420
6. 39326 100.0% 34.9% (+65.1)#6 24.1% (+75.9)#467
7. 39771 100.0% 34.9% (+65.1)#7 24.1% (+75.9)#608
8. 38768 100.0% 34.9% (+65.1)#8 24.1% (+75.9)#674
9. 39057 97.7% 34.9% (+62.8)#9 24.1% (+73.6)#709
10. 39115 97.3% 34.9% (+62.4)#10 24.1% (+73.2)#711
11. 38626 90.9% 34.9% (+56.0)#11 24.1% (+66.8)#756
12. 39459 90.7% 34.9% (+55.8)#12 24.1% (+66.6)#758
13. 38838 90.0% 34.9% (+55.1)#13 24.1% (+65.9)#762
14. 38928 87.1% 34.9% (+52.2)#14 24.1% (+63.0)#816
15. 39657 84.7% 34.9% (+49.8)#15 24.1% (+60.7)#866
16. 39086 83.3% 34.9% (+48.4)#16 24.1% (+59.3)#891
17. 39572 80.6% 34.9% (+45.7)#17 24.1% (+56.6)#970
18. 38617 80.2% 34.9% (+45.2)#18 24.1% (+56.1)#987
19. 39769 79.1% 34.9% (+44.1)#19 24.1% (+55.0)#1,026
20. 39481 78.1% 34.9% (+43.2)#20 24.1% (+54.0)#1,054
21. 39647 76.2% 34.9% (+41.3)#21 24.1% (+52.1)#1,118
22. 39462 75.4% 34.9% (+40.5)#22 24.1% (+51.3)#1,136
23. 38621 74.7% 34.9% (+39.7)#23 24.1% (+50.6)#1,182
24. 38722 73.7% 34.9% (+38.8)#24 24.1% (+49.6)#1,219
25. 39739 72.1% 34.9% (+37.1)#25 24.1% (+48.0)#1,283
26. 39663 72.0% 34.9% (+37.1)#26 24.1% (+47.9)#1,284
27. 38746 71.6% 34.9% (+36.7)#27 24.1% (+47.5)#1,302
28. 39577 70.3% 34.9% (+35.4)#28 24.1% (+46.2)#1,373
29. 39427 69.2% 34.9% (+34.3)#29 24.1% (+45.2)#1,423
30. 38862 68.9% 34.9% (+34.0)#30 24.1% (+44.8)#1,441
31. 38769 68.8% 34.9% (+33.9)#31 24.1% (+44.7)#1,450
32. 39477 68.6% 34.9% (+33.7)#32 24.1% (+44.5)#1,468
33. 39756 67.1% 34.9% (+32.2)#33 24.1% (+43.0)#1,532
34. 38631 66.7% 34.9% (+31.7)#34 24.1% (+42.6)#1,562
35. 39701 66.2% 34.9% (+31.3)#35 24.1% (+42.1)#1,657
36. 38744 65.4% 34.9% (+30.5)#36 24.1% (+41.3)#1,697
37. 39328 65.4% 34.9% (+30.4)#37 24.1% (+41.3)#1,699
38. 38778 65.2% 34.9% (+30.3)#38 24.1% (+41.1)#1,705
39. 39736 65.0% 34.9% (+30.1)#39 24.1% (+40.9)#1,726
40. 39365 64.3% 34.9% (+29.4)#40 24.1% (+40.2)#1,771
41. 38762 64.3% 34.9% (+29.4)#41 24.1% (+40.2)#1,773
42. 39665 63.7% 34.9% (+28.8)#42 24.1% (+39.6)#1,817
43. 39479 63.6% 34.9% (+28.7)#43 24.1% (+39.5)#1,843
44. 39358 63.5% 34.9% (+28.5)#44 24.1% (+39.4)#1,847
45. 38619 62.5% 34.9% (+27.6)#45 24.1% (+38.5)#1,917
46. 39652 62.5% 34.9% (+27.6)#46 24.1% (+38.4)#1,918
47. 38622 61.5% 34.9% (+26.6)#47 24.1% (+37.5)#2,006
48. 38844 60.0% 34.9% (+25.1)#48 24.1% (+35.9)#2,182
49. 38781 60.0% 34.9% (+25.1)#49 24.1% (+35.9)#2,189
50. 38754 59.8% 34.9% (+24.9)#50 24.1% (+35.7)#2,196
51. 39097 59.6% 34.9% (+24.7)#51 24.1% (+35.5)#2,215
52. 38721 58.7% 34.9% (+23.8)#52 24.1% (+34.6)#2,285
53. 39428 58.4% 34.9% (+23.5)#53 24.1% (+34.3)#2,304
54. 39362 58.1% 34.9% (+23.2)#54 24.1% (+34.0)#2,347
55. 39581 58.1% 34.9% (+23.2)#55 24.1% (+34.0)#2,350
56. 39638 57.3% 34.9% (+22.4)#56 24.1% (+33.3)#2,413
57. 39776 56.4% 34.9% (+21.5)#57 24.1% (+32.3)#2,524
58. 38946 56.0% 34.9% (+21.1)#58 24.1% (+31.9)#2,582
59. 39440 55.5% 34.9% (+20.5)#59 24.1% (+31.4)#2,642
60. 39176 55.3% 34.9% (+20.4)#60 24.1% (+31.3)#2,656
61. 39347 55.0% 34.9% (+20.1)#61 24.1% (+30.9)#2,696
62. 39631 54.9% 34.9% (+20.0)#62 24.1% (+30.8)#2,702
63. 39168 54.9% 34.9% (+20.0)#63 24.1% (+30.8)#2,705
64. 39363 54.7% 34.9% (+19.8)#64 24.1% (+30.6)#2,725
65. 38921 54.6% 34.9% (+19.7)#65 24.1% (+30.5)#2,733
66. 39062 54.2% 34.9% (+19.2)#66 24.1% (+30.1)#2,802
67. 39327 53.8% 34.9% (+18.9)#67 24.1% (+29.7)#2,842
68. 39216 53.6% 34.9% (+18.7)#68 24.1% (+29.6)#2,864
69. 38833 53.6% 34.9% (+18.7)#69 24.1% (+29.5)#2,866
70. 38761 53.6% 34.9% (+18.6)#70 24.1% (+29.5)#2,889
71. 39355 53.5% 34.9% (+18.6)#71 24.1% (+29.4)#2,893
72. 38851 53.1% 34.9% (+18.2)#72 24.1% (+29.1)#2,933
73. 38868 53.1% 34.9% (+18.2)#73 24.1% (+29.0)#2,947
74. 39501 53.1% 34.9% (+18.1)#74 24.1% (+29.0)#2,950
75. 39630 52.9% 34.9% (+18.0)#75 24.1% (+28.8)#2,977
76. 38923 52.8% 34.9% (+17.9)#76 24.1% (+28.8)#2,988
77. 38913 52.8% 34.9% (+17.9)#77 24.1% (+28.7)#2,995
78. 39339 52.4% 34.9% (+17.5)#78 24.1% (+28.3)#3,060
79. 39643 51.8% 34.9% (+16.9)#79 24.1% (+27.7)#3,119
80. 39090 51.8% 34.9% (+16.8)#80 24.1% (+27.7)#3,128
81. 39063 51.5% 34.9% (+16.5)#81 24.1% (+27.4)#3,166
82. 39307 51.4% 34.9% (+16.5)#82 24.1% (+27.3)#3,173
83. 39332 51.1% 34.9% (+16.2)#83 24.1% (+27.1)#3,212
84. 39656 51.0% 34.9% (+16.1)#84 24.1% (+26.9)#3,230
85. 39305 50.0% 34.9% (+15.1)#85 24.1% (+26.0)#3,321
86. 38841 50.0% 34.9% (+15.1)#86 24.1% (+25.9)#3,328
87. 38725 50.0% 34.9% (+15.1)#87 24.1% (+25.9)#3,386
88. 38676 49.7% 34.9% (+14.8)#88 24.1% (+25.7)#3,575
89. 38922 49.6% 34.9% (+14.7)#89 24.1% (+25.5)#3,599
90. 39082 49.4% 34.9% (+14.5)#90 24.1% (+25.3)#3,625
91. 39530 49.1% 34.9% (+14.2)#91 24.1% (+25.1)#3,653
92. 39066 49.1% 34.9% (+14.2)#92 24.1% (+25.0)#3,659
93. 38620 48.6% 34.9% (+13.7)#93 24.1% (+24.6)#3,722
94. 39668 48.6% 34.9% (+13.7)#94 24.1% (+24.5)#3,731
95. 38614 48.5% 34.9% (+13.5)#95 24.1% (+24.4)#3,748
96. 38774 48.3% 34.9% (+13.4)#96 24.1% (+24.2)#3,780
97. 39648 48.2% 34.9% (+13.2)#97 24.1% (+24.1)#3,795
98. 39204 48.0% 34.9% (+13.1)#98 24.1% (+23.9)#3,824
99. 39735 48.0% 34.9% (+13.1)#99 24.1% (+23.9)#3,827
100. 39179 48.0% 34.9% (+13.1)#100 24.1% (+23.9)#3,834

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Mississippi?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females 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
100.0%
#9
97.7%
#10
97.3%
What zip code has the Highest Poverty Level Among Single Females in Mississippi?
39664 has the Highest Poverty Level Among Single Females in Mississippi with 100.0%.
What is the Poverty Level Among Single Females in the State of Mississippi?
Poverty Level Among Single Females in Mississippi is 34.9%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.