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

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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
Missouri
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 63101 1.0 56.0 (-55.0)#1 53.0 (-52.0)#8
2. 64108 3.0 56.0 (-53.0)#2 53.0 (-50.0)#46
3. 63822 3.0 56.0 (-53.0)#3 53.0 (-50.0)#70
4. 63143 4.0 56.0 (-52.0)#4 53.0 (-49.0)#91
5. 64112 5.0 56.0 (-51.0)#5 53.0 (-48.0)#150
6. 65550 5.0 56.0 (-51.0)#6 53.0 (-48.0)#166
7. 65667 5.0 56.0 (-51.0)#7 53.0 (-48.0)#167
8. 64436 5.0 56.0 (-51.0)#8 53.0 (-48.0)#199
9. 65625 6.0 56.0 (-50.0)#9 53.0 (-47.0)#218
10. 63469 6.0 56.0 (-50.0)#10 53.0 (-47.0)#266
11. 63474 6.0 56.0 (-50.0)#11 53.0 (-47.0)#279
12. 65679 7.0 56.0 (-49.0)#12 53.0 (-46.0)#311
13. 65059 7.0 56.0 (-49.0)#13 53.0 (-46.0)#341
14. 63936 7.0 56.0 (-49.0)#14 53.0 (-46.0)#352
15. 63767 7.0 56.0 (-49.0)#15 53.0 (-46.0)#353
16. 63383 8.0 56.0 (-48.0)#16 53.0 (-45.0)#364
17. 64630 8.0 56.0 (-48.0)#17 53.0 (-45.0)#449
18. 63345 8.0 56.0 (-48.0)#18 53.0 (-45.0)#454
19. 65063 9.0 56.0 (-47.0)#19 53.0 (-44.0)#496
20. 65725 9.0 56.0 (-47.0)#20 53.0 (-44.0)#515
21. 63623 9.0 56.0 (-47.0)#21 53.0 (-44.0)#565
22. 64474 9.0 56.0 (-47.0)#22 53.0 (-44.0)#568
23. 63350 9.0 56.0 (-47.0)#23 53.0 (-44.0)#570
24. 65339 9.0 56.0 (-47.0)#24 53.0 (-44.0)#581
25. 63332 10.0 56.0 (-46.0)#25 53.0 (-43.0)#658
26. 64401 10.0 56.0 (-46.0)#26 53.0 (-43.0)#667
27. 64750 10.0 56.0 (-46.0)#27 53.0 (-43.0)#694
28. 63113 11.0 56.0 (-45.0)#28 53.0 (-42.0)#718
29. 64054 11.0 56.0 (-45.0)#29 53.0 (-42.0)#765
30. 65567 11.0 56.0 (-45.0)#30 53.0 (-42.0)#783
31. 63629 11.0 56.0 (-45.0)#31 53.0 (-42.0)#804
32. 63533 11.0 56.0 (-45.0)#32 53.0 (-42.0)#814
33. 63341 12.0 56.0 (-44.0)#33 53.0 (-41.0)#899
34. 65262 12.0 56.0 (-44.0)#34 53.0 (-41.0)#949
35. 65692 12.0 56.0 (-44.0)#35 53.0 (-41.0)#952
36. 65069 12.0 56.0 (-44.0)#36 53.0 (-41.0)#964
37. 64037 13.0 56.0 (-43.0)#37 53.0 (-40.0)#1,019
38. 64019 13.0 56.0 (-43.0)#38 53.0 (-40.0)#1,067
39. 63048 14.0 56.0 (-42.0)#39 53.0 (-39.0)#1,191
40. 64733 14.0 56.0 (-42.0)#40 53.0 (-39.0)#1,254
41. 65334 14.0 56.0 (-42.0)#41 53.0 (-39.0)#1,258
42. 64479 14.0 56.0 (-42.0)#42 53.0 (-39.0)#1,259
43. 65635 14.0 56.0 (-42.0)#43 53.0 (-39.0)#1,267
44. 63531 14.0 56.0 (-42.0)#44 53.0 (-39.0)#1,279
45. 64116 15.0 56.0 (-41.0)#45 53.0 (-38.0)#1,307
46. 64111 15.0 56.0 (-41.0)#46 53.0 (-38.0)#1,308
47. 63077 15.0 56.0 (-41.0)#47 53.0 (-38.0)#1,317
48. 65010 15.0 56.0 (-41.0)#48 53.0 (-38.0)#1,330
49. 65723 15.0 56.0 (-41.0)#49 53.0 (-38.0)#1,378
50. 65351 15.0 56.0 (-41.0)#50 53.0 (-38.0)#1,401
51. 65053 15.0 56.0 (-41.0)#51 53.0 (-38.0)#1,425
52. 63953 15.0 56.0 (-41.0)#52 53.0 (-38.0)#1,450
53. 63665 15.0 56.0 (-41.0)#53 53.0 (-38.0)#1,470
54. 64743 15.0 56.0 (-41.0)#54 53.0 (-38.0)#1,475
55. 65708 16.0 56.0 (-40.0)#55 53.0 (-37.0)#1,498
56. 63147 16.0 56.0 (-40.0)#56 53.0 (-37.0)#1,517
57. 64843 16.0 56.0 (-40.0)#57 53.0 (-37.0)#1,561
58. 64658 16.0 56.0 (-40.0)#58 53.0 (-37.0)#1,565
59. 64139 16.0 56.0 (-40.0)#59 53.0 (-37.0)#1,581
60. 65462 16.0 56.0 (-40.0)#60 53.0 (-37.0)#1,614
61. 64842 16.0 56.0 (-40.0)#61 53.0 (-37.0)#1,619
62. 63545 16.0 56.0 (-40.0)#62 53.0 (-37.0)#1,620
63. 63942 16.0 56.0 (-40.0)#63 53.0 (-37.0)#1,639
64. 65230 16.0 56.0 (-40.0)#64 53.0 (-37.0)#1,641
65. 63820 16.0 56.0 (-40.0)#65 53.0 (-37.0)#1,648
66. 64105 17.0 56.0 (-39.0)#66 53.0 (-36.0)#1,713
67. 63108 18.0 56.0 (-38.0)#67 53.0 (-35.0)#1,833
68. 63034 18.0 56.0 (-38.0)#68 53.0 (-35.0)#1,835
69. 65742 18.0 56.0 (-38.0)#69 53.0 (-35.0)#1,852
70. 64016 18.0 56.0 (-38.0)#70 53.0 (-35.0)#1,899
71. 63954 18.0 56.0 (-38.0)#71 53.0 (-35.0)#1,973
72. 63434 18.0 56.0 (-38.0)#72 53.0 (-35.0)#1,977
73. 63074 19.0 56.0 (-37.0)#73 53.0 (-34.0)#2,036
74. 63459 19.0 56.0 (-37.0)#74 53.0 (-34.0)#2,096
75. 63072 19.0 56.0 (-37.0)#75 53.0 (-34.0)#2,102
76. 65438 19.0 56.0 (-37.0)#76 53.0 (-34.0)#2,125
77. 63966 19.0 56.0 (-37.0)#77 53.0 (-34.0)#2,132
78. 65237 19.0 56.0 (-37.0)#78 53.0 (-34.0)#2,170
79. 63631 19.0 56.0 (-37.0)#79 53.0 (-34.0)#2,177
80. 64055 20.0 56.0 (-36.0)#80 53.0 (-33.0)#2,201
81. 65757 20.0 56.0 (-36.0)#81 53.0 (-33.0)#2,270
82. 64863 20.0 56.0 (-36.0)#82 53.0 (-33.0)#2,367
83. 64631 20.0 56.0 (-36.0)#83 53.0 (-33.0)#2,392
84. 63446 20.0 56.0 (-36.0)#84 53.0 (-33.0)#2,418
85. 63040 21.0 56.0 (-35.0)#85 53.0 (-32.0)#2,499
86. 64145 21.0 56.0 (-35.0)#86 53.0 (-32.0)#2,532
87. 63023 21.0 56.0 (-35.0)#87 53.0 (-32.0)#2,533
88. 63351 21.0 56.0 (-35.0)#88 53.0 (-32.0)#2,599
89. 63339 21.0 56.0 (-35.0)#89 53.0 (-32.0)#2,619
90. 64445 21.0 56.0 (-35.0)#90 53.0 (-32.0)#2,655
91. 64024 22.0 56.0 (-34.0)#91 53.0 (-31.0)#2,704
92. 65023 22.0 56.0 (-34.0)#92 53.0 (-31.0)#2,827
93. 64643 22.0 56.0 (-34.0)#93 53.0 (-31.0)#2,845
94. 63748 22.0 56.0 (-34.0)#94 53.0 (-31.0)#2,847
95. 64461 22.0 56.0 (-34.0)#95 53.0 (-31.0)#2,864
96. 63879 22.0 56.0 (-34.0)#96 53.0 (-31.0)#2,869
97. 65686 23.0 56.0 (-33.0)#97 53.0 (-30.0)#3,032
98. 65052 23.0 56.0 (-33.0)#98 53.0 (-30.0)#3,051
99. 63627 23.0 56.0 (-33.0)#99 53.0 (-30.0)#3,065
100. 64454 23.0 56.0 (-33.0)#100 53.0 (-30.0)#3,067

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Missouri?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Missouri are:
#1
1.0
#2
3.0
#3
3.0
#4
4.0
#5
5.0
#6
5.0
#7
5.0
#8
5.0
#9
6.0
#10
6.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Missouri?
63101 has the Fewest Births per 1,000 Women Below Poverty Level in Missouri with 1.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Missouri?
Number of Births per 1,000 Women Below Poverty Level in Missouri is 56.0.
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.