Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi

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Lowest Birth Rate | Women 35+
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 Over the Age of 35 in Mississippi

40.0
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Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi

Zip Code Births / 1,000 Women vs State vs National
1. 39465 2.0 24.0 (-22.0)#1 32.0 (-30.0)#56
2. 38618 2.0 24.0 (-22.0)#2 32.0 (-30.0)#80
3. 38828 2.0 24.0 (-22.0)#3 32.0 (-30.0)#103
4. 39338 2.0 24.0 (-22.0)#4 32.0 (-30.0)#109
5. 39752 4.0 24.0 (-20.0)#5 32.0 (-28.0)#380
6. 39212 5.0 24.0 (-19.0)#6 32.0 (-27.0)#408
7. 38670 5.0 24.0 (-19.0)#7 32.0 (-27.0)#576
8. 39042 6.0 24.0 (-18.0)#8 32.0 (-26.0)#588
9. 38834 6.0 24.0 (-18.0)#9 32.0 (-26.0)#617
10. 38821 6.0 24.0 (-18.0)#10 32.0 (-26.0)#691
11. 38843 6.0 24.0 (-18.0)#11 32.0 (-26.0)#700
12. 39301 7.0 24.0 (-17.0)#12 32.0 (-25.0)#828
13. 39562 7.0 24.0 (-17.0)#13 32.0 (-25.0)#859
14. 39564 8.0 24.0 (-16.0)#14 32.0 (-24.0)#1,021
15. 39206 8.0 24.0 (-16.0)#15 32.0 (-24.0)#1,078
16. 39204 8.0 24.0 (-16.0)#16 32.0 (-24.0)#1,129
17. 39667 8.0 24.0 (-16.0)#17 32.0 (-24.0)#1,161
18. 39475 9.0 24.0 (-15.0)#18 32.0 (-23.0)#1,389
19. 38849 9.0 24.0 (-15.0)#19 32.0 (-23.0)#1,458
20. 38922 9.0 24.0 (-15.0)#20 32.0 (-23.0)#1,497
21. 39157 10.0 24.0 (-14.0)#21 32.0 (-22.0)#1,618
22. 39532 11.0 24.0 (-13.0)#22 32.0 (-21.0)#1,843
23. 39325 11.0 24.0 (-13.0)#23 32.0 (-21.0)#2,025
24. 39654 11.0 24.0 (-13.0)#24 32.0 (-21.0)#2,031
25. 39443 12.0 24.0 (-12.0)#25 32.0 (-20.0)#2,206
26. 39565 12.0 24.0 (-12.0)#26 32.0 (-20.0)#2,211
27. 38732 12.0 24.0 (-12.0)#27 32.0 (-20.0)#2,238
28. 39272 12.0 24.0 (-12.0)#28 32.0 (-20.0)#2,257
29. 39581 12.0 24.0 (-12.0)#29 32.0 (-20.0)#2,273
30. 38633 12.0 24.0 (-12.0)#30 32.0 (-20.0)#2,365
31. 39211 13.0 24.0 (-11.0)#31 32.0 (-19.0)#2,484
32. 39046 14.0 24.0 (-10.00)#32 32.0 (-18.0)#2,764
33. 39553 14.0 24.0 (-10.00)#33 32.0 (-18.0)#2,808
34. 39563 14.0 24.0 (-10.00)#34 32.0 (-18.0)#2,859
35. 39328 14.0 24.0 (-10.00)#35 32.0 (-18.0)#2,934
36. 38762 14.0 24.0 (-10.00)#36 32.0 (-18.0)#2,971
37. 39503 15.0 24.0 (-9.00)#37 32.0 (-17.0)#3,019
38. 39440 15.0 24.0 (-9.00)#38 32.0 (-17.0)#3,115
39. 39571 15.0 24.0 (-9.00)#39 32.0 (-17.0)#3,150
40. 39095 15.0 24.0 (-9.00)#40 32.0 (-17.0)#3,215
41. 38862 15.0 24.0 (-9.00)#41 32.0 (-17.0)#3,260
42. 39341 16.0 24.0 (-8.00)#42 32.0 (-16.0)#3,490
43. 38654 17.0 24.0 (-7.00)#43 32.0 (-15.0)#3,599
44. 39194 17.0 24.0 (-7.00)#44 32.0 (-15.0)#3,700
45. 39170 17.0 24.0 (-7.00)#45 32.0 (-15.0)#3,771
46. 39735 17.0 24.0 (-7.00)#46 32.0 (-15.0)#3,833
47. 39209 18.0 24.0 (-6.00)#47 32.0 (-14.0)#3,987
48. 39702 18.0 24.0 (-6.00)#48 32.0 (-14.0)#4,000
49. 38635 18.0 24.0 (-6.00)#49 32.0 (-14.0)#4,055
50. 39666 18.0 24.0 (-6.00)#50 32.0 (-14.0)#4,080
51. 39482 18.0 24.0 (-6.00)#51 32.0 (-14.0)#4,084
52. 39191 18.0 24.0 (-6.00)#52 32.0 (-14.0)#4,107
53. 39355 18.0 24.0 (-6.00)#53 32.0 (-14.0)#4,124
54. 39769 18.0 24.0 (-6.00)#54 32.0 (-14.0)#4,186
55. 38614 19.0 24.0 (-5.00)#55 32.0 (-13.0)#4,360
56. 39483 19.0 24.0 (-5.00)#56 32.0 (-13.0)#4,421
57. 38671 20.0 24.0 (-4.00)#57 32.0 (-12.0)#4,558
58. 39466 21.0 24.0 (-3.00)#58 32.0 (-11.0)#4,895
59. 39073 21.0 24.0 (-3.00)#59 32.0 (-11.0)#4,935
60. 39531 21.0 24.0 (-3.00)#60 32.0 (-11.0)#4,951
61. 38863 21.0 24.0 (-3.00)#61 32.0 (-11.0)#4,956
62. 38663 21.0 24.0 (-3.00)#62 32.0 (-11.0)#4,999
63. 38773 21.0 24.0 (-3.00)#63 32.0 (-11.0)#5,112
64. 39047 22.0 24.0 (-2.00)#64 32.0 (-10.00)#5,198
65. 38930 22.0 24.0 (-2.00)#65 32.0 (-10.00)#5,268
66. 39574 22.0 24.0 (-2.00)#66 32.0 (-10.00)#5,315
67. 38801 23.0 24.0 (-1.000)#67 32.0 (-9.00)#5,521
68. 39437 23.0 24.0 (-1.000)#68 32.0 (-9.00)#5,603
69. 38866 23.0 24.0 (-1.000)#69 32.0 (-9.00)#5,609
70. 38941 23.0 24.0 (-1.000)#70 32.0 (-9.00)#5,675
71. 39166 23.0 24.0 (-1.000)#71 32.0 (-9.00)#5,728
72. 39110 24.0 24.0 (=0.000)#72 32.0 (-8.00)#5,770
73. 39120 24.0 24.0 (=0.000)#73 32.0 (-8.00)#5,829
74. 38637 24.0 24.0 (=0.000)#74 32.0 (-8.00)#5,844
75. 39501 24.0 24.0 (=0.000)#75 32.0 (-8.00)#5,855
76. 38860 24.0 24.0 (=0.000)#76 32.0 (-8.00)#5,954
77. 38855 24.0 24.0 (=0.000)#77 32.0 (-8.00)#5,961
78. 38676 26.0 24.0 (+2.00)#78 32.0 (-6.00)#6,609
79. 38668 27.0 24.0 (+3.00)#79 32.0 (-5.00)#6,872
80. 38868 27.0 24.0 (+3.00)#80 32.0 (-5.00)#6,931
81. 39040 27.0 24.0 (+3.00)#81 32.0 (-5.00)#6,950
82. 38672 28.0 24.0 (+4.00)#82 32.0 (-4.00)#7,168
83. 39402 29.0 24.0 (+5.00)#83 32.0 (-3.00)#7,324
84. 39648 29.0 24.0 (+5.00)#84 32.0 (-3.00)#7,427
85. 39208 30.0 24.0 (+6.00)#85 32.0 (-2.00)#7,648
86. 38621 30.0 24.0 (+6.00)#86 32.0 (-2.00)#7,829
87. 39307 31.0 24.0 (+7.00)#87 32.0 (-1.000)#8,002
88. 39367 31.0 24.0 (+7.00)#88 32.0 (-1.000)#8,009
89. 39168 31.0 24.0 (+7.00)#89 32.0 (-1.000)#8,061
90. 39740 31.0 24.0 (+7.00)#90 32.0 (-1.000)#8,062
91. 38865 31.0 24.0 (+7.00)#91 32.0 (-1.000)#8,065
92. 39305 32.0 24.0 (+8.00)#92 32.0 (=0.000)#8,275
93. 39507 32.0 24.0 (+8.00)#93 32.0 (=0.000)#8,285
94. 39159 32.0 24.0 (+8.00)#94 32.0 (=0.000)#8,378
95. 39747 32.0 24.0 (+8.00)#95 32.0 (=0.000)#8,395
96. 39339 33.0 24.0 (+9.00)#96 32.0 (+1.000)#8,578
97. 39044 33.0 24.0 (+9.00)#97 32.0 (+1.000)#8,654
98. 38632 34.0 24.0 (+10.00)#98 32.0 (+2.00)#8,801
99. 39428 34.0 24.0 (+10.00)#99 32.0 (+2.00)#8,903
100. 39154 35.0 24.0 (+11.0)#100 32.0 (+3.00)#9,168

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi are:
#1
2.0
#2
2.0
#3
2.0
#4
2.0
#5
4.0
#6
5.0
#7
5.0
#8
6.0
#9
6.0
#10
6.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi?
39465 has the Fewest Births per 1,000 Women Over the Age of 35 in Mississippi with 2.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Mississippi?
Number of Births per 1,000 Women Over the Age of 35 in Mississippi is 24.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.