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

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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
Missouri
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 63143 1.0 51.0 (-50.0)#1 48.0 (-47.0)#3
2. 63101 1.0 51.0 (-50.0)#2 48.0 (-47.0)#10
3. 64108 2.0 51.0 (-49.0)#3 48.0 (-46.0)#19
4. 64016 4.0 51.0 (-47.0)#4 48.0 (-44.0)#132
5. 65063 4.0 51.0 (-47.0)#5 48.0 (-44.0)#136
6. 64439 5.0 51.0 (-46.0)#6 48.0 (-43.0)#223
7. 65708 6.0 51.0 (-45.0)#7 48.0 (-42.0)#249
8. 64112 6.0 51.0 (-45.0)#8 48.0 (-42.0)#256
9. 64842 6.0 51.0 (-45.0)#9 48.0 (-42.0)#306
10. 65785 7.0 51.0 (-44.0)#10 48.0 (-41.0)#354
11. 63361 7.0 51.0 (-44.0)#11 48.0 (-41.0)#363
12. 65723 7.0 51.0 (-44.0)#12 48.0 (-41.0)#375
13. 63332 7.0 51.0 (-44.0)#13 48.0 (-41.0)#387
14. 65059 7.0 51.0 (-44.0)#14 48.0 (-41.0)#397
15. 65542 8.0 51.0 (-43.0)#15 48.0 (-40.0)#457
16. 65713 8.0 51.0 (-43.0)#16 48.0 (-40.0)#506
17. 64679 8.0 51.0 (-43.0)#17 48.0 (-40.0)#540
18. 65609 8.0 51.0 (-43.0)#18 48.0 (-40.0)#546
19. 64055 9.0 51.0 (-42.0)#19 48.0 (-39.0)#551
20. 65740 9.0 51.0 (-42.0)#20 48.0 (-39.0)#613
21. 63349 9.0 51.0 (-42.0)#21 48.0 (-39.0)#637
22. 65692 9.0 51.0 (-42.0)#22 48.0 (-39.0)#659
23. 63767 9.0 51.0 (-42.0)#23 48.0 (-39.0)#672
24. 64116 10.0 51.0 (-41.0)#24 48.0 (-38.0)#692
25. 63740 10.0 51.0 (-41.0)#25 48.0 (-38.0)#753
26. 63846 10.0 51.0 (-41.0)#26 48.0 (-38.0)#808
27. 64479 10.0 51.0 (-41.0)#27 48.0 (-38.0)#814
28. 63469 10.0 51.0 (-41.0)#28 48.0 (-38.0)#817
29. 63936 10.0 51.0 (-41.0)#29 48.0 (-38.0)#829
30. 63383 11.0 51.0 (-40.0)#30 48.0 (-37.0)#853
31. 65806 11.0 51.0 (-40.0)#31 48.0 (-37.0)#855
32. 64401 11.0 51.0 (-40.0)#32 48.0 (-37.0)#971
33. 65082 11.0 51.0 (-40.0)#33 48.0 (-37.0)#975
34. 63077 12.0 51.0 (-39.0)#34 48.0 (-36.0)#1,035
35. 64485 12.0 51.0 (-39.0)#35 48.0 (-36.0)#1,054
36. 65625 12.0 51.0 (-39.0)#36 48.0 (-36.0)#1,057
37. 65667 12.0 51.0 (-39.0)#37 48.0 (-36.0)#1,100
38. 63730 13.0 51.0 (-38.0)#38 48.0 (-35.0)#1,275
39. 65606 13.0 51.0 (-38.0)#39 48.0 (-35.0)#1,297
40. 63862 13.0 51.0 (-38.0)#40 48.0 (-35.0)#1,320
41. 65068 13.0 51.0 (-38.0)#41 48.0 (-35.0)#1,331
42. 64637 13.0 51.0 (-38.0)#42 48.0 (-35.0)#1,339
43. 63108 14.0 51.0 (-37.0)#43 48.0 (-34.0)#1,370
44. 63034 14.0 51.0 (-37.0)#44 48.0 (-34.0)#1,375
45. 65656 14.0 51.0 (-37.0)#45 48.0 (-34.0)#1,440
46. 65604 14.0 51.0 (-37.0)#46 48.0 (-34.0)#1,453
47. 64843 14.0 51.0 (-37.0)#47 48.0 (-34.0)#1,457
48. 63384 14.0 51.0 (-37.0)#48 48.0 (-34.0)#1,483
49. 63344 14.0 51.0 (-37.0)#49 48.0 (-34.0)#1,495
50. 65262 14.0 51.0 (-37.0)#50 48.0 (-34.0)#1,513
51. 63623 14.0 51.0 (-37.0)#51 48.0 (-34.0)#1,519
52. 63074 15.0 51.0 (-36.0)#52 48.0 (-33.0)#1,568
53. 64024 15.0 51.0 (-36.0)#53 48.0 (-33.0)#1,570
54. 65742 15.0 51.0 (-36.0)#54 48.0 (-33.0)#1,575
55. 65737 15.0 51.0 (-36.0)#55 48.0 (-33.0)#1,607
56. 63334 15.0 51.0 (-36.0)#56 48.0 (-33.0)#1,613
57. 65725 15.0 51.0 (-36.0)#57 48.0 (-33.0)#1,660
58. 65351 15.0 51.0 (-36.0)#58 48.0 (-33.0)#1,672
59. 63537 15.0 51.0 (-36.0)#59 48.0 (-33.0)#1,675
60. 63345 15.0 51.0 (-36.0)#60 48.0 (-33.0)#1,725
61. 64111 16.0 51.0 (-35.0)#61 48.0 (-32.0)#1,772
62. 63113 16.0 51.0 (-35.0)#62 48.0 (-32.0)#1,783
63. 63357 16.0 51.0 (-35.0)#63 48.0 (-32.0)#1,815
64. 64037 16.0 51.0 (-35.0)#64 48.0 (-32.0)#1,819
65. 63341 16.0 51.0 (-35.0)#65 48.0 (-32.0)#1,848
66. 63441 16.0 51.0 (-35.0)#66 48.0 (-32.0)#1,895
67. 64106 17.0 51.0 (-34.0)#67 48.0 (-31.0)#1,981
68. 64070 17.0 51.0 (-34.0)#68 48.0 (-31.0)#2,039
69. 63627 17.0 51.0 (-34.0)#69 48.0 (-31.0)#2,048
70. 65772 17.0 51.0 (-34.0)#70 48.0 (-31.0)#2,050
71. 64742 17.0 51.0 (-34.0)#71 48.0 (-31.0)#2,052
72. 65588 17.0 51.0 (-34.0)#72 48.0 (-31.0)#2,058
73. 63837 17.0 51.0 (-34.0)#73 48.0 (-31.0)#2,073
74. 63629 17.0 51.0 (-34.0)#74 48.0 (-31.0)#2,090
75. 63533 17.0 51.0 (-34.0)#75 48.0 (-31.0)#2,098
76. 64060 18.0 51.0 (-33.0)#76 48.0 (-30.0)#2,170
77. 65010 18.0 51.0 (-33.0)#77 48.0 (-30.0)#2,209
78. 64747 18.0 51.0 (-33.0)#78 48.0 (-30.0)#2,229
79. 64673 18.0 51.0 (-33.0)#79 48.0 (-30.0)#2,261
80. 65023 18.0 51.0 (-33.0)#80 48.0 (-30.0)#2,284
81. 64437 18.0 51.0 (-33.0)#81 48.0 (-30.0)#2,317
82. 63126 19.0 51.0 (-32.0)#82 48.0 (-29.0)#2,389
83. 63147 19.0 51.0 (-32.0)#83 48.0 (-29.0)#2,419
84. 64062 19.0 51.0 (-32.0)#84 48.0 (-29.0)#2,431
85. 63048 19.0 51.0 (-32.0)#85 48.0 (-29.0)#2,460
86. 65243 19.0 51.0 (-32.0)#86 48.0 (-29.0)#2,480
87. 64019 19.0 51.0 (-32.0)#87 48.0 (-29.0)#2,487
88. 64139 19.0 51.0 (-32.0)#88 48.0 (-29.0)#2,488
89. 64651 19.0 51.0 (-32.0)#89 48.0 (-29.0)#2,535
90. 63135 20.0 51.0 (-31.0)#90 48.0 (-28.0)#2,600
91. 65473 20.0 51.0 (-31.0)#91 48.0 (-28.0)#2,617
92. 64034 20.0 51.0 (-31.0)#92 48.0 (-28.0)#2,656
93. 65240 20.0 51.0 (-31.0)#93 48.0 (-28.0)#2,658
94. 65757 20.0 51.0 (-31.0)#94 48.0 (-28.0)#2,670
95. 63019 20.0 51.0 (-31.0)#95 48.0 (-28.0)#2,705
96. 65334 20.0 51.0 (-31.0)#96 48.0 (-28.0)#2,776
97. 65706 21.0 51.0 (-30.0)#97 48.0 (-27.0)#2,877
98. 64832 21.0 51.0 (-30.0)#98 48.0 (-27.0)#3,026
99. 65348 21.0 51.0 (-30.0)#99 48.0 (-27.0)#3,030
100. 63141 22.0 51.0 (-29.0)#100 48.0 (-26.0)#3,117

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Missouri?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Missouri are:
#1
1.0
#2
1.0
#3
2.0
#4
4.0
#5
4.0
#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 Missouri?
63143 has the Lowest Births per 1,000 Women in Labor Force in Missouri with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Missouri?
Number Births per 1,000 Women in Labor Force in Missouri is 51.0.
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.