Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi

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Lowest Birth Rate | In Labor Force
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 Births per 1,000 Women in Labor Force in Mississippi

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi

Zip Code Births / 1,000 Women vs State vs National
1. 38601 2.0 56.0 (-54.0)#1 48.0 (-46.0)#34
2. 39059 3.0 56.0 (-53.0)#2 48.0 (-45.0)#49
3. 39160 3.0 56.0 (-53.0)#3 48.0 (-45.0)#83
4. 39358 4.0 56.0 (-52.0)#4 48.0 (-44.0)#165
5. 39183 5.0 56.0 (-51.0)#5 48.0 (-43.0)#179
6. 39540 5.0 56.0 (-51.0)#6 48.0 (-43.0)#180
7. 39577 6.0 56.0 (-50.0)#7 48.0 (-42.0)#250
8. 39330 6.0 56.0 (-50.0)#8 48.0 (-42.0)#278
9. 38856 6.0 56.0 (-50.0)#9 48.0 (-42.0)#297
10. 38873 7.0 56.0 (-49.0)#10 48.0 (-41.0)#379
11. 39332 7.0 56.0 (-49.0)#11 48.0 (-41.0)#385
12. 39363 7.0 56.0 (-49.0)#12 48.0 (-41.0)#395
13. 39327 8.0 56.0 (-48.0)#13 48.0 (-40.0)#479
14. 38841 8.0 56.0 (-48.0)#14 48.0 (-40.0)#487
15. 38921 9.0 56.0 (-47.0)#15 48.0 (-39.0)#603
16. 39338 9.0 56.0 (-47.0)#16 48.0 (-39.0)#618
17. 38658 9.0 56.0 (-47.0)#17 48.0 (-39.0)#635
18. 39360 10.0 56.0 (-46.0)#18 48.0 (-38.0)#767
19. 39153 10.0 56.0 (-46.0)#19 48.0 (-38.0)#783
20. 39455 11.0 56.0 (-45.0)#20 48.0 (-37.0)#873
21. 38849 11.0 56.0 (-45.0)#21 48.0 (-37.0)#902
22. 38683 11.0 56.0 (-45.0)#22 48.0 (-37.0)#927
23. 38878 11.0 56.0 (-45.0)#23 48.0 (-37.0)#946
24. 38603 12.0 56.0 (-44.0)#24 48.0 (-36.0)#1,108
25. 38659 12.0 56.0 (-44.0)#25 48.0 (-36.0)#1,124
26. 39069 13.0 56.0 (-43.0)#26 48.0 (-35.0)#1,261
27. 39747 13.0 56.0 (-43.0)#27 48.0 (-35.0)#1,314
28. 38751 15.0 56.0 (-41.0)#28 48.0 (-33.0)#1,592
29. 39166 15.0 56.0 (-41.0)#29 48.0 (-33.0)#1,713
30. 38663 16.0 56.0 (-40.0)#30 48.0 (-32.0)#1,784
31. 39459 16.0 56.0 (-40.0)#31 48.0 (-32.0)#1,845
32. 39362 16.0 56.0 (-40.0)#32 48.0 (-32.0)#1,853
33. 39337 16.0 56.0 (-40.0)#33 48.0 (-32.0)#1,882
34. 39090 17.0 56.0 (-39.0)#34 48.0 (-31.0)#1,973
35. 38915 17.0 56.0 (-39.0)#35 48.0 (-31.0)#2,034
36. 39170 18.0 56.0 (-38.0)#36 48.0 (-30.0)#2,195
37. 39202 18.0 56.0 (-38.0)#37 48.0 (-30.0)#2,212
38. 39462 18.0 56.0 (-38.0)#38 48.0 (-30.0)#2,296
39. 39667 19.0 56.0 (-37.0)#39 48.0 (-29.0)#2,405
40. 38858 19.0 56.0 (-37.0)#40 48.0 (-29.0)#2,435
41. 38855 19.0 56.0 (-37.0)#41 48.0 (-29.0)#2,446
42. 38916 19.0 56.0 (-37.0)#42 48.0 (-29.0)#2,454
43. 39663 19.0 56.0 (-37.0)#43 48.0 (-29.0)#2,494
44. 39145 20.0 56.0 (-36.0)#44 48.0 (-28.0)#2,685
45. 38725 21.0 56.0 (-35.0)#45 48.0 (-27.0)#3,035
46. 39470 22.0 56.0 (-34.0)#46 48.0 (-26.0)#3,152
47. 38871 23.0 56.0 (-33.0)#47 48.0 (-25.0)#3,511
48. 39574 24.0 56.0 (-32.0)#48 48.0 (-24.0)#3,673
49. 38852 24.0 56.0 (-32.0)#49 48.0 (-24.0)#3,713
50. 38670 24.0 56.0 (-32.0)#50 48.0 (-24.0)#3,839
51. 39157 25.0 56.0 (-31.0)#51 48.0 (-23.0)#3,924
52. 38732 25.0 56.0 (-31.0)#52 48.0 (-23.0)#3,958
53. 39562 25.0 56.0 (-31.0)#53 48.0 (-23.0)#3,959
54. 39581 25.0 56.0 (-31.0)#54 48.0 (-23.0)#3,985
55. 39114 25.0 56.0 (-31.0)#55 48.0 (-23.0)#4,002
56. 39066 25.0 56.0 (-31.0)#56 48.0 (-23.0)#4,043
57. 39437 26.0 56.0 (-30.0)#57 48.0 (-22.0)#4,256
58. 38965 26.0 56.0 (-30.0)#58 48.0 (-22.0)#4,276
59. 39095 26.0 56.0 (-30.0)#59 48.0 (-22.0)#4,295
60. 38771 26.0 56.0 (-30.0)#60 48.0 (-22.0)#4,361
61. 38941 27.0 56.0 (-29.0)#61 48.0 (-21.0)#4,651
62. 39746 27.0 56.0 (-29.0)#62 48.0 (-21.0)#4,659
63. 39046 28.0 56.0 (-28.0)#63 48.0 (-20.0)#4,793
64. 39739 28.0 56.0 (-28.0)#64 48.0 (-20.0)#4,971
65. 39464 29.0 56.0 (-27.0)#65 48.0 (-19.0)#5,217
66. 38637 30.0 56.0 (-26.0)#66 48.0 (-18.0)#5,395
67. 39365 30.0 56.0 (-26.0)#67 48.0 (-18.0)#5,482
68. 38860 30.0 56.0 (-26.0)#68 48.0 (-18.0)#5,500
69. 38654 31.0 56.0 (-25.0)#69 48.0 (-17.0)#5,607
70. 38701 31.0 56.0 (-25.0)#70 48.0 (-17.0)#5,705
71. 38619 31.0 56.0 (-25.0)#71 48.0 (-17.0)#5,794
72. 38834 32.0 56.0 (-24.0)#72 48.0 (-16.0)#5,981
73. 39045 32.0 56.0 (-24.0)#73 48.0 (-16.0)#6,189
74. 39218 33.0 56.0 (-23.0)#74 48.0 (-15.0)#6,426
75. 39766 33.0 56.0 (-23.0)#75 48.0 (-15.0)#6,474
76. 39154 35.0 56.0 (-21.0)#76 48.0 (-13.0)#7,027
77. 39556 35.0 56.0 (-21.0)#77 48.0 (-13.0)#7,037
78. 38680 35.0 56.0 (-21.0)#78 48.0 (-13.0)#7,051
79. 38801 36.0 56.0 (-20.0)#79 48.0 (-12.0)#7,233
80. 39701 36.0 56.0 (-20.0)#80 48.0 (-12.0)#7,314
81. 38762 36.0 56.0 (-20.0)#81 48.0 (-12.0)#7,406
82. 38631 36.0 56.0 (-20.0)#82 48.0 (-12.0)#7,431
83. 38804 37.0 56.0 (-19.0)#83 48.0 (-11.0)#7,621
84. 39743 37.0 56.0 (-19.0)#84 48.0 (-11.0)#7,762
85. 38862 39.0 56.0 (-17.0)#85 48.0 (-9.00)#8,401
86. 38627 39.0 56.0 (-17.0)#86 48.0 (-9.00)#8,428
87. 38617 39.0 56.0 (-17.0)#87 48.0 (-9.00)#8,449
88. 39465 40.0 56.0 (-16.0)#88 48.0 (-8.00)#8,574
89. 39083 40.0 56.0 (-16.0)#89 48.0 (-8.00)#8,668
90. 38643 40.0 56.0 (-16.0)#90 48.0 (-8.00)#8,768
91. 38720 40.0 56.0 (-16.0)#91 48.0 (-8.00)#8,793
92. 38655 41.0 56.0 (-15.0)#92 48.0 (-7.00)#8,837
93. 39211 41.0 56.0 (-15.0)#93 48.0 (-7.00)#8,932
94. 39206 41.0 56.0 (-15.0)#94 48.0 (-7.00)#8,936
95. 39643 41.0 56.0 (-15.0)#95 48.0 (-7.00)#9,103
96. 38821 42.0 56.0 (-14.0)#96 48.0 (-6.00)#9,316
97. 39576 42.0 56.0 (-14.0)#97 48.0 (-6.00)#9,358
98. 39652 43.0 56.0 (-13.0)#98 48.0 (-5.00)#9,684
99. 39736 43.0 56.0 (-13.0)#99 48.0 (-5.00)#9,812
100. 39301 44.0 56.0 (-12.0)#100 48.0 (-4.00)#9,938

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Mississippi are:
#1
2.0
#2
3.0
#3
3.0
#4
4.0
#5
5.0
#6
5.0
#7
6.0
#8
6.0
#9
6.0
#10
7.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Mississippi?
38601 has the Lowest Births per 1,000 Women in Labor Force in Mississippi with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Mississippi?
Number Births per 1,000 Women in Labor Force in Mississippi is 56.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.