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

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Highest 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 Most Births per 1,000 Women in Labor Force in Mississippi

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Mississippi Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 39177 1,000.0 56.0 (+944)#1 48.0 (+952)#43
2. 38940 632.0 56.0 (+576)#2 48.0 (+584)#106
3. 38759 515.0 56.0 (+459)#3 48.0 (+467)#154
4. 38736 345.0 56.0 (+289)#4 48.0 (+297)#354
5. 39067 343.0 56.0 (+287)#5 48.0 (+295)#359
6. 38647 333.0 56.0 (+277)#6 48.0 (+285)#373
7. 38764 316.0 56.0 (+260)#7 48.0 (+268)#425
8. 39561 305.0 56.0 (+249)#8 48.0 (+257)#455
9. 39176 304.0 56.0 (+248)#9 48.0 (+256)#457
10. 38948 252.0 56.0 (+196)#10 48.0 (+204)#640
11. 38781 250.0 56.0 (+194)#11 48.0 (+202)#667
12. 39328 240.0 56.0 (+184)#12 48.0 (+192)#709
13. 39336 239.0 56.0 (+183)#13 48.0 (+191)#719
14. 38944 231.0 56.0 (+175)#14 48.0 (+183)#761
15. 39345 227.0 56.0 (+171)#15 48.0 (+179)#782
16. 38730 218.0 56.0 (+162)#16 48.0 (+170)#849
17. 39346 196.0 56.0 (+140)#17 48.0 (+148)#1,046
18. 38625 185.0 56.0 (+129)#18 48.0 (+137)#1,146
19. 38676 183.0 56.0 (+127)#19 48.0 (+135)#1,173
20. 38967 181.0 56.0 (+125)#20 48.0 (+133)#1,194
21. 39638 177.0 56.0 (+121)#21 48.0 (+129)#1,230
22. 38847 172.0 56.0 (+116)#22 48.0 (+124)#1,294
23. 39092 167.0 56.0 (+111)#23 48.0 (+119)#1,371
24. 38761 159.0 56.0 (+103)#24 48.0 (+111)#1,515
25. 39630 156.0 56.0 (+100.0)#25 48.0 (+108)#1,577
26. 39648 155.0 56.0 (+99.0)#26 48.0 (+107)#1,587
27. 39323 155.0 56.0 (+99.0)#27 48.0 (+107)#1,598
28. 39461 152.0 56.0 (+96.0)#28 48.0 (+104)#1,653
29. 38778 151.0 56.0 (+95.0)#29 48.0 (+103)#1,660
30. 39427 146.0 56.0 (+90.0)#30 48.0 (+98.0)#1,769
31. 39483 143.0 56.0 (+87.0)#31 48.0 (+95.0)#1,810
32. 39216 143.0 56.0 (+87.0)#32 48.0 (+95.0)#1,813
33. 39044 143.0 56.0 (+87.0)#33 48.0 (+95.0)#1,814
34. 39347 136.0 56.0 (+80.0)#34 48.0 (+88.0)#2,023
35. 39040 133.0 56.0 (+77.0)#35 48.0 (+85.0)#2,103
36. 38635 129.0 56.0 (+73.0)#36 48.0 (+81.0)#2,204
37. 39169 128.0 56.0 (+72.0)#37 48.0 (+80.0)#2,246
38. 39531 127.0 56.0 (+71.0)#38 48.0 (+79.0)#2,265
39. 39204 126.0 56.0 (+70.0)#39 48.0 (+78.0)#2,309
40. 39665 125.0 56.0 (+69.0)#40 48.0 (+77.0)#2,359
41. 39769 124.0 56.0 (+68.0)#41 48.0 (+76.0)#2,403
42. 39735 120.0 56.0 (+64.0)#42 48.0 (+72.0)#2,514
43. 39657 118.0 56.0 (+62.0)#43 48.0 (+70.0)#2,605
44. 39744 114.0 56.0 (+58.0)#44 48.0 (+66.0)#2,754
45. 38642 113.0 56.0 (+57.0)#45 48.0 (+65.0)#2,813
46. 38829 112.0 56.0 (+56.0)#46 48.0 (+64.0)#2,830
47. 39705 111.0 56.0 (+55.0)#47 48.0 (+63.0)#2,874
48. 39631 109.0 56.0 (+53.0)#48 48.0 (+61.0)#3,007
49. 39307 108.0 56.0 (+52.0)#49 48.0 (+60.0)#3,046
50. 39750 107.0 56.0 (+51.0)#50 48.0 (+59.0)#3,113
51. 39520 105.0 56.0 (+49.0)#51 48.0 (+57.0)#3,186
52. 39428 105.0 56.0 (+49.0)#52 48.0 (+57.0)#3,195
53. 39108 105.0 56.0 (+49.0)#53 48.0 (+57.0)#3,225
54. 38961 105.0 56.0 (+49.0)#54 48.0 (+57.0)#3,235
55. 39666 104.0 56.0 (+48.0)#55 48.0 (+56.0)#3,253
56. 38857 104.0 56.0 (+48.0)#56 48.0 (+56.0)#3,266
57. 39305 103.0 56.0 (+47.0)#57 48.0 (+55.0)#3,304
58. 38606 103.0 56.0 (+47.0)#58 48.0 (+55.0)#3,308
59. 39474 101.0 56.0 (+45.0)#59 48.0 (+53.0)#3,451
60. 39740 100.0 56.0 (+44.0)#60 48.0 (+52.0)#3,501
61. 39477 100.0 56.0 (+44.0)#61 48.0 (+52.0)#3,534
62. 39339 96.0 56.0 (+40.0)#62 48.0 (+48.0)#3,769
63. 39452 95.0 56.0 (+39.0)#63 48.0 (+47.0)#3,828
64. 39601 95.0 56.0 (+39.0)#64 48.0 (+47.0)#3,831
65. 38621 94.0 56.0 (+38.0)#65 48.0 (+46.0)#3,936
66. 39423 93.0 56.0 (+37.0)#66 48.0 (+45.0)#4,001
67. 39213 91.0 56.0 (+35.0)#67 48.0 (+43.0)#4,114
68. 39120 89.0 56.0 (+33.0)#68 48.0 (+41.0)#4,296
69. 38748 89.0 56.0 (+33.0)#69 48.0 (+41.0)#4,350
70. 39056 88.0 56.0 (+32.0)#70 48.0 (+40.0)#4,399
71. 39567 86.0 56.0 (+30.0)#71 48.0 (+38.0)#4,617
72. 39189 86.0 56.0 (+30.0)#72 48.0 (+38.0)#4,640
73. 38703 84.0 56.0 (+28.0)#73 48.0 (+36.0)#4,818
74. 39525 84.0 56.0 (+28.0)#74 48.0 (+36.0)#4,825
75. 39573 83.0 56.0 (+27.0)#75 48.0 (+35.0)#4,928
76. 39071 83.0 56.0 (+27.0)#76 48.0 (+35.0)#4,937
77. 39162 83.0 56.0 (+27.0)#77 48.0 (+35.0)#5,006
78. 39209 82.0 56.0 (+26.0)#78 48.0 (+34.0)#5,015
79. 38666 82.0 56.0 (+26.0)#79 48.0 (+34.0)#5,057
80. 39367 81.0 56.0 (+25.0)#80 48.0 (+33.0)#5,170
81. 39479 81.0 56.0 (+25.0)#81 48.0 (+33.0)#5,187
82. 39335 79.0 56.0 (+23.0)#82 48.0 (+31.0)#5,436
83. 39745 79.0 56.0 (+23.0)#83 48.0 (+31.0)#5,461
84. 38824 78.0 56.0 (+22.0)#84 48.0 (+30.0)#5,530
85. 39111 77.0 56.0 (+21.0)#85 48.0 (+29.0)#5,656
86. 39402 76.0 56.0 (+20.0)#86 48.0 (+28.0)#5,747
87. 39325 76.0 56.0 (+20.0)#87 48.0 (+28.0)#5,824
88. 38954 76.0 56.0 (+20.0)#88 48.0 (+28.0)#5,866
89. 39773 75.0 56.0 (+19.0)#89 48.0 (+27.0)#5,914
90. 38866 75.0 56.0 (+19.0)#90 48.0 (+27.0)#5,923
91. 39730 75.0 56.0 (+19.0)#91 48.0 (+27.0)#5,925
92. 39350 74.0 56.0 (+18.0)#92 48.0 (+26.0)#6,037
93. 38651 74.0 56.0 (+18.0)#93 48.0 (+26.0)#6,069
94. 38756 73.0 56.0 (+17.0)#94 48.0 (+25.0)#6,244
95. 38737 73.0 56.0 (+17.0)#95 48.0 (+25.0)#6,268
96. 39074 72.0 56.0 (+16.0)#96 48.0 (+24.0)#6,381
97. 39530 72.0 56.0 (+16.0)#97 48.0 (+24.0)#6,397
98. 39645 72.0 56.0 (+16.0)#98 48.0 (+24.0)#6,418
99. 39440 71.0 56.0 (+15.0)#99 48.0 (+23.0)#6,528
100. 39563 70.0 56.0 (+14.0)#100 48.0 (+22.0)#6,725

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Mississippi?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Mississippi are:
#1
1,000.0
#2
632.0
#3
515.0
#4
345.0
#5
343.0
#6
333.0
#7
316.0
#8
305.0
#9
304.0
#10
252.0
What zip code has the Most Births per 1,000 Women in Labor Force in Mississippi?
39177 has the Most Births per 1,000 Women in Labor Force in Mississippi with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Mississippi?
Number of Births per 1,000 Women in Labor Force in Mississippi is 56.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.