Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi

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Highest Birth Rate | Below Poverty
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 Most Births per 1,000 Women Below Poverty Level in Mississippi

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi

Zip Code Births / 1,000 Women vs State vs National
1. 39177 1,000.0 57.0 (+943)#1 53.0 (+947)#47
2. 39352 692.0 57.0 (+635)#2 53.0 (+639)#93
3. 38759 410.0 57.0 (+353)#3 53.0 (+357)#251
4. 39067 348.0 57.0 (+291)#4 53.0 (+295)#345
5. 39561 343.0 57.0 (+286)#5 53.0 (+290)#350
6. 38764 316.0 57.0 (+259)#6 53.0 (+263)#407
7. 38940 314.0 57.0 (+257)#7 53.0 (+261)#414
8. 38736 292.0 57.0 (+235)#8 53.0 (+239)#478
9. 38647 286.0 57.0 (+229)#9 53.0 (+233)#498
10. 39328 259.0 57.0 (+202)#10 53.0 (+206)#611
11. 38944 231.0 57.0 (+174)#11 53.0 (+178)#767
12. 38625 221.0 57.0 (+164)#12 53.0 (+168)#832
13. 38760 217.0 57.0 (+160)#13 53.0 (+164)#852
14. 39345 201.0 57.0 (+144)#14 53.0 (+148)#965
15. 39771 188.0 57.0 (+131)#15 53.0 (+135)#1,129
16. 38948 181.0 57.0 (+124)#16 53.0 (+128)#1,204
17. 39176 176.0 57.0 (+119)#17 53.0 (+123)#1,261
18. 39662 176.0 57.0 (+119)#18 53.0 (+123)#1,266
19. 38920 174.0 57.0 (+117)#19 53.0 (+121)#1,306
20. 39054 169.0 57.0 (+112)#20 53.0 (+116)#1,391
21. 38673 167.0 57.0 (+110)#21 53.0 (+114)#1,422
22. 39638 162.0 57.0 (+105)#22 53.0 (+109)#1,514
23. 38761 147.0 57.0 (+90.0)#23 53.0 (+94.0)#1,813
24. 39630 146.0 57.0 (+89.0)#24 53.0 (+93.0)#1,841
25. 38847 143.0 57.0 (+86.0)#25 53.0 (+90.0)#1,912
26. 38967 136.0 57.0 (+79.0)#26 53.0 (+83.0)#2,112
27. 39323 135.0 57.0 (+78.0)#27 53.0 (+82.0)#2,162
28. 39346 132.0 57.0 (+75.0)#28 53.0 (+79.0)#2,264
29. 38753 132.0 57.0 (+75.0)#29 53.0 (+79.0)#2,268
30. 39483 131.0 57.0 (+74.0)#30 53.0 (+78.0)#2,287
31. 38676 131.0 57.0 (+74.0)#31 53.0 (+78.0)#2,288
32. 39322 131.0 57.0 (+74.0)#32 53.0 (+78.0)#2,296
33. 38730 128.0 57.0 (+71.0)#33 53.0 (+75.0)#2,406
34. 39744 125.0 57.0 (+68.0)#34 53.0 (+72.0)#2,513
35. 39452 123.0 57.0 (+66.0)#35 53.0 (+70.0)#2,599
36. 39427 123.0 57.0 (+66.0)#36 53.0 (+70.0)#2,622
37. 39755 121.0 57.0 (+64.0)#37 53.0 (+68.0)#2,725
38. 38868 119.0 57.0 (+62.0)#38 53.0 (+66.0)#2,772
39. 39146 118.0 57.0 (+61.0)#39 53.0 (+65.0)#2,821
40. 38737 118.0 57.0 (+61.0)#40 53.0 (+65.0)#2,822
41. 39461 117.0 57.0 (+60.0)#41 53.0 (+64.0)#2,906
42. 39531 113.0 57.0 (+56.0)#42 53.0 (+60.0)#3,071
43. 39335 111.0 57.0 (+54.0)#43 53.0 (+58.0)#3,205
44. 39735 110.0 57.0 (+53.0)#44 53.0 (+57.0)#3,274
45. 38778 109.0 57.0 (+52.0)#45 53.0 (+56.0)#3,335
46. 39367 108.0 57.0 (+51.0)#46 53.0 (+55.0)#3,369
47. 39044 107.0 57.0 (+50.0)#47 53.0 (+54.0)#3,455
48. 39648 106.0 57.0 (+49.0)#48 53.0 (+53.0)#3,508
49. 39520 106.0 57.0 (+49.0)#49 53.0 (+53.0)#3,514
50. 39451 106.0 57.0 (+49.0)#50 53.0 (+53.0)#3,519
51. 39740 106.0 57.0 (+49.0)#51 53.0 (+53.0)#3,523
52. 39769 106.0 57.0 (+49.0)#52 53.0 (+53.0)#3,546
53. 38606 105.0 57.0 (+48.0)#53 53.0 (+52.0)#3,573
54. 39204 104.0 57.0 (+47.0)#54 53.0 (+51.0)#3,644
55. 39336 102.0 57.0 (+45.0)#55 53.0 (+49.0)#3,848
56. 39216 101.0 57.0 (+44.0)#56 53.0 (+48.0)#3,889
57. 39305 99.0 57.0 (+42.0)#57 53.0 (+46.0)#4,024
58. 39470 99.0 57.0 (+42.0)#58 53.0 (+46.0)#4,031
59. 39040 99.0 57.0 (+42.0)#59 53.0 (+46.0)#4,052
60. 39633 98.0 57.0 (+41.0)#60 53.0 (+45.0)#4,164
61. 39209 97.0 57.0 (+40.0)#61 53.0 (+44.0)#4,192
62. 39169 96.0 57.0 (+39.0)#62 53.0 (+43.0)#4,336
63. 39203 95.0 57.0 (+38.0)#63 53.0 (+42.0)#4,411
64. 39057 95.0 57.0 (+38.0)#64 53.0 (+42.0)#4,434
65. 39341 94.0 57.0 (+37.0)#65 53.0 (+41.0)#4,513
66. 38756 94.0 57.0 (+37.0)#66 53.0 (+41.0)#4,514
67. 38774 94.0 57.0 (+37.0)#67 53.0 (+41.0)#4,537
68. 38914 94.0 57.0 (+37.0)#68 53.0 (+41.0)#4,549
69. 39056 93.0 57.0 (+36.0)#69 53.0 (+40.0)#4,567
70. 38635 93.0 57.0 (+36.0)#70 53.0 (+40.0)#4,577
71. 39092 93.0 57.0 (+36.0)#71 53.0 (+40.0)#4,601
72. 39750 93.0 57.0 (+36.0)#72 53.0 (+40.0)#4,602
73. 38603 93.0 57.0 (+36.0)#73 53.0 (+40.0)#4,605
74. 38651 92.0 57.0 (+35.0)#74 53.0 (+39.0)#4,673
75. 38621 92.0 57.0 (+35.0)#75 53.0 (+39.0)#4,712
76. 39189 91.0 57.0 (+34.0)#76 53.0 (+38.0)#4,793
77. 39705 90.0 57.0 (+33.0)#77 53.0 (+37.0)#4,884
78. 39730 90.0 57.0 (+33.0)#78 53.0 (+37.0)#4,887
79. 39111 89.0 57.0 (+32.0)#79 53.0 (+36.0)#4,988
80. 39474 88.0 57.0 (+31.0)#80 53.0 (+35.0)#5,099
81. 39350 87.0 57.0 (+30.0)#81 53.0 (+34.0)#5,196
82. 39428 87.0 57.0 (+30.0)#82 53.0 (+34.0)#5,221
83. 39213 86.0 57.0 (+29.0)#83 53.0 (+33.0)#5,320
84. 39339 86.0 57.0 (+29.0)#84 53.0 (+33.0)#5,332
85. 39440 85.0 57.0 (+28.0)#85 53.0 (+32.0)#5,440
86. 39108 85.0 57.0 (+28.0)#86 53.0 (+32.0)#5,523
87. 39325 83.0 57.0 (+26.0)#87 53.0 (+30.0)#5,736
88. 39439 83.0 57.0 (+26.0)#88 53.0 (+30.0)#5,745
89. 38781 83.0 57.0 (+26.0)#89 53.0 (+30.0)#5,819
90. 39601 82.0 57.0 (+25.0)#90 53.0 (+29.0)#5,843
91. 38829 82.0 57.0 (+25.0)#91 53.0 (+29.0)#5,852
92. 38671 81.0 57.0 (+24.0)#92 53.0 (+28.0)#5,983
93. 38870 81.0 57.0 (+24.0)#93 53.0 (+28.0)#6,078
94. 38954 81.0 57.0 (+24.0)#94 53.0 (+28.0)#6,110
95. 38769 80.0 57.0 (+23.0)#95 53.0 (+27.0)#6,243
96. 39665 80.0 57.0 (+23.0)#96 53.0 (+27.0)#6,254
97. 39307 79.0 57.0 (+22.0)#97 53.0 (+26.0)#6,342
98. 38901 78.0 57.0 (+21.0)#98 53.0 (+25.0)#6,491
99. 38646 77.0 57.0 (+20.0)#99 53.0 (+24.0)#6,713
100. 38652 76.0 57.0 (+19.0)#100 53.0 (+23.0)#6,838

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Mississippi are:
#1
1,000.0
#2
692.0
#3
410.0
#4
348.0
#5
343.0
#6
316.0
#7
314.0
#8
292.0
#9
286.0
#10
259.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Mississippi?
39177 has the Most Births per 1,000 Women Below Poverty Level in Mississippi with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Mississippi?
Number of Births per 1,000 Women Below Poverty Level in Mississippi is 57.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.