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

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Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in Mississippi

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 38828 1.0 57.0 (-56.0)#1 53.0 (-52.0)#6
2. 39059 2.0 57.0 (-55.0)#2 53.0 (-51.0)#14
3. 39160 2.0 57.0 (-55.0)#3 53.0 (-51.0)#31
4. 39653 2.0 57.0 (-55.0)#4 53.0 (-51.0)#34
5. 38601 2.0 57.0 (-55.0)#5 53.0 (-51.0)#36
6. 38856 3.0 57.0 (-54.0)#6 53.0 (-50.0)#79
7. 39338 4.0 57.0 (-53.0)#7 53.0 (-49.0)#110
8. 38922 4.0 57.0 (-53.0)#8 53.0 (-49.0)#112
9. 39153 5.0 57.0 (-52.0)#9 53.0 (-48.0)#174
10. 39342 5.0 57.0 (-52.0)#10 53.0 (-48.0)#178
11. 39332 5.0 57.0 (-52.0)#11 53.0 (-48.0)#181
12. 39358 5.0 57.0 (-52.0)#12 53.0 (-48.0)#193
13. 39327 6.0 57.0 (-51.0)#13 53.0 (-47.0)#228
14. 39360 6.0 57.0 (-51.0)#14 53.0 (-47.0)#234
15. 38659 6.0 57.0 (-51.0)#15 53.0 (-47.0)#251
16. 39069 7.0 57.0 (-50.0)#16 53.0 (-46.0)#296
17. 38633 7.0 57.0 (-50.0)#17 53.0 (-46.0)#320
18. 38661 7.0 57.0 (-50.0)#18 53.0 (-46.0)#330
19. 39119 8.0 57.0 (-49.0)#19 53.0 (-45.0)#379
20. 38683 8.0 57.0 (-49.0)#20 53.0 (-45.0)#392
21. 39116 8.0 57.0 (-49.0)#21 53.0 (-45.0)#405
22. 38658 8.0 57.0 (-49.0)#22 53.0 (-45.0)#410
23. 39183 9.0 57.0 (-48.0)#23 53.0 (-44.0)#466
24. 39362 9.0 57.0 (-48.0)#24 53.0 (-44.0)#507
25. 39667 11.0 57.0 (-46.0)#25 53.0 (-42.0)#722
26. 38878 11.0 57.0 (-46.0)#26 53.0 (-42.0)#774
27. 38876 11.0 57.0 (-46.0)#27 53.0 (-42.0)#801
28. 38751 12.0 57.0 (-45.0)#28 53.0 (-41.0)#860
29. 39170 13.0 57.0 (-44.0)#29 53.0 (-40.0)#1,007
30. 38849 14.0 57.0 (-43.0)#30 53.0 (-39.0)#1,180
31. 39066 14.0 57.0 (-43.0)#31 53.0 (-39.0)#1,185
32. 38921 15.0 57.0 (-42.0)#32 53.0 (-38.0)#1,356
33. 38915 15.0 57.0 (-42.0)#33 53.0 (-38.0)#1,369
34. 39159 15.0 57.0 (-42.0)#34 53.0 (-38.0)#1,376
35. 38855 16.0 57.0 (-41.0)#35 53.0 (-37.0)#1,536
36. 39747 16.0 57.0 (-41.0)#36 53.0 (-37.0)#1,600
37. 38725 16.0 57.0 (-41.0)#37 53.0 (-37.0)#1,613
38. 38941 17.0 57.0 (-40.0)#38 53.0 (-36.0)#1,738
39. 39746 17.0 57.0 (-40.0)#39 53.0 (-36.0)#1,747
40. 39086 17.0 57.0 (-40.0)#40 53.0 (-36.0)#1,771
41. 39166 18.0 57.0 (-39.0)#41 53.0 (-35.0)#1,980
42. 38650 19.0 57.0 (-38.0)#42 53.0 (-34.0)#2,095
43. 39643 20.0 57.0 (-37.0)#43 53.0 (-33.0)#2,369
44. 38617 20.0 57.0 (-37.0)#44 53.0 (-33.0)#2,391
45. 38965 21.0 57.0 (-36.0)#45 53.0 (-32.0)#2,498
46. 38771 21.0 57.0 (-36.0)#46 53.0 (-32.0)#2,574
47. 39366 21.0 57.0 (-36.0)#47 53.0 (-32.0)#2,620
48. 39577 22.0 57.0 (-35.0)#48 53.0 (-31.0)#2,718
49. 39218 22.0 57.0 (-35.0)#49 53.0 (-31.0)#2,743
50. 39095 22.0 57.0 (-35.0)#50 53.0 (-31.0)#2,750
51. 38841 22.0 57.0 (-35.0)#51 53.0 (-31.0)#2,778
52. 38762 22.0 57.0 (-35.0)#52 53.0 (-31.0)#2,799
53. 39581 23.0 57.0 (-34.0)#53 53.0 (-30.0)#2,975
54. 38664 23.0 57.0 (-34.0)#54 53.0 (-30.0)#3,054
55. 39330 23.0 57.0 (-34.0)#55 53.0 (-30.0)#3,060
56. 38833 23.0 57.0 (-34.0)#56 53.0 (-30.0)#3,074
57. 39046 24.0 57.0 (-33.0)#57 53.0 (-29.0)#3,167
58. 39437 24.0 57.0 (-33.0)#58 53.0 (-29.0)#3,215
59. 39202 24.0 57.0 (-33.0)#59 53.0 (-29.0)#3,249
60. 39145 24.0 57.0 (-33.0)#60 53.0 (-29.0)#3,261
61. 39363 24.0 57.0 (-33.0)#61 53.0 (-29.0)#3,348
62. 38670 24.0 57.0 (-33.0)#62 53.0 (-29.0)#3,358
63. 39157 25.0 57.0 (-32.0)#63 53.0 (-28.0)#3,439
64. 38663 25.0 57.0 (-32.0)#64 53.0 (-28.0)#3,491
65. 38865 25.0 57.0 (-32.0)#65 53.0 (-28.0)#3,545
66. 39562 26.0 57.0 (-31.0)#66 53.0 (-27.0)#3,732
67. 39039 26.0 57.0 (-31.0)#67 53.0 (-27.0)#3,843
68. 39743 26.0 57.0 (-31.0)#68 53.0 (-27.0)#3,849
69. 38701 27.0 57.0 (-30.0)#69 53.0 (-26.0)#3,974
70. 38732 27.0 57.0 (-30.0)#70 53.0 (-26.0)#3,987
71. 38846 27.0 57.0 (-30.0)#71 53.0 (-26.0)#4,117
72. 39736 27.0 57.0 (-30.0)#72 53.0 (-26.0)#4,182
73. 39150 28.0 57.0 (-29.0)#73 53.0 (-25.0)#4,330
74. 39772 28.0 57.0 (-29.0)#74 53.0 (-25.0)#4,377
75. 39481 28.0 57.0 (-29.0)#75 53.0 (-25.0)#4,391
76. 39476 29.0 57.0 (-28.0)#76 53.0 (-24.0)#4,582
77. 38858 29.0 57.0 (-28.0)#77 53.0 (-24.0)#4,585
78. 39175 29.0 57.0 (-28.0)#78 53.0 (-24.0)#4,613
79. 38917 30.0 57.0 (-27.0)#79 53.0 (-23.0)#4,896
80. 39464 30.0 57.0 (-27.0)#80 53.0 (-23.0)#4,904
81. 39663 30.0 57.0 (-27.0)#81 53.0 (-23.0)#4,935
82. 39090 31.0 57.0 (-26.0)#82 53.0 (-22.0)#5,134
83. 38821 31.0 57.0 (-26.0)#83 53.0 (-22.0)#5,137
84. 38873 31.0 57.0 (-26.0)#84 53.0 (-22.0)#5,232
85. 39337 31.0 57.0 (-26.0)#85 53.0 (-22.0)#5,258
86. 38627 31.0 57.0 (-26.0)#86 53.0 (-22.0)#5,264
87. 38963 32.0 57.0 (-25.0)#87 53.0 (-21.0)#5,505
88. 39571 33.0 57.0 (-24.0)#88 53.0 (-20.0)#5,722
89. 39083 33.0 57.0 (-24.0)#89 53.0 (-20.0)#5,765
90. 38619 33.0 57.0 (-24.0)#90 53.0 (-20.0)#5,798
91. 38916 33.0 57.0 (-24.0)#91 53.0 (-20.0)#5,819
92. 39776 33.0 57.0 (-24.0)#92 53.0 (-20.0)#5,875
93. 39194 34.0 57.0 (-23.0)#93 53.0 (-19.0)#6,006
94. 38860 34.0 57.0 (-23.0)#94 53.0 (-19.0)#6,102
95. 39038 34.0 57.0 (-23.0)#95 53.0 (-19.0)#6,107
96. 38622 34.0 57.0 (-23.0)#96 53.0 (-19.0)#6,214
97. 38925 35.0 57.0 (-22.0)#97 53.0 (-18.0)#6,489
98. 39079 35.0 57.0 (-22.0)#98 53.0 (-18.0)#6,494
99. 39206 36.0 57.0 (-21.0)#99 53.0 (-17.0)#6,638
100. 39355 36.0 57.0 (-21.0)#100 53.0 (-17.0)#6,762

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Mississippi are:
#1
1.0
#2
2.0
#3
2.0
#4
2.0
#5
2.0
#6
3.0
#7
4.0
#8
4.0
#9
5.0
#10
5.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Mississippi?
38828 has the Fewest Births per 1,000 Women Below Poverty Level in Mississippi with 1.0.
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.