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
1.631011.056.0(-55.0)#153.0(-52.0)#8
2.641083.056.0(-53.0)#253.0(-50.0)#46
3.638223.056.0(-53.0)#353.0(-50.0)#70
4.631434.056.0(-52.0)#453.0(-49.0)#91
5.641125.056.0(-51.0)#553.0(-48.0)#150
6.655505.056.0(-51.0)#653.0(-48.0)#166
7.656675.056.0(-51.0)#753.0(-48.0)#167
8.644365.056.0(-51.0)#853.0(-48.0)#199
9.656256.056.0(-50.0)#953.0(-47.0)#218
10.634696.056.0(-50.0)#1053.0(-47.0)#266
11.634746.056.0(-50.0)#1153.0(-47.0)#279
12.656797.056.0(-49.0)#1253.0(-46.0)#311
13.650597.056.0(-49.0)#1353.0(-46.0)#341
14.639367.056.0(-49.0)#1453.0(-46.0)#352
15.637677.056.0(-49.0)#1553.0(-46.0)#353
16.633838.056.0(-48.0)#1653.0(-45.0)#364
17.646308.056.0(-48.0)#1753.0(-45.0)#449
18.633458.056.0(-48.0)#1853.0(-45.0)#454
19.650639.056.0(-47.0)#1953.0(-44.0)#496
20.657259.056.0(-47.0)#2053.0(-44.0)#515
21.636239.056.0(-47.0)#2153.0(-44.0)#565
22.644749.056.0(-47.0)#2253.0(-44.0)#568
23.633509.056.0(-47.0)#2353.0(-44.0)#570
24.653399.056.0(-47.0)#2453.0(-44.0)#581
25.6333210.056.0(-46.0)#2553.0(-43.0)#658
26.6440110.056.0(-46.0)#2653.0(-43.0)#667
27.6475010.056.0(-46.0)#2753.0(-43.0)#694
28.6311311.056.0(-45.0)#2853.0(-42.0)#718
29.6405411.056.0(-45.0)#2953.0(-42.0)#765
30.6556711.056.0(-45.0)#3053.0(-42.0)#783
31.6362911.056.0(-45.0)#3153.0(-42.0)#804
32.6353311.056.0(-45.0)#3253.0(-42.0)#814
33.6334112.056.0(-44.0)#3353.0(-41.0)#899
34.6526212.056.0(-44.0)#3453.0(-41.0)#949
35.6569212.056.0(-44.0)#3553.0(-41.0)#952
36.6506912.056.0(-44.0)#3653.0(-41.0)#964
37.6403713.056.0(-43.0)#3753.0(-40.0)#1,019
38.6401913.056.0(-43.0)#3853.0(-40.0)#1,067
39.6304814.056.0(-42.0)#3953.0(-39.0)#1,191
40.6473314.056.0(-42.0)#4053.0(-39.0)#1,254
41.6533414.056.0(-42.0)#4153.0(-39.0)#1,258
42.6447914.056.0(-42.0)#4253.0(-39.0)#1,259
43.6563514.056.0(-42.0)#4353.0(-39.0)#1,267
44.6353114.056.0(-42.0)#4453.0(-39.0)#1,279
45.6411615.056.0(-41.0)#4553.0(-38.0)#1,307
46.6411115.056.0(-41.0)#4653.0(-38.0)#1,308
47.6307715.056.0(-41.0)#4753.0(-38.0)#1,317
48.6501015.056.0(-41.0)#4853.0(-38.0)#1,330
49.6572315.056.0(-41.0)#4953.0(-38.0)#1,378
50.6535115.056.0(-41.0)#5053.0(-38.0)#1,401
51.6505315.056.0(-41.0)#5153.0(-38.0)#1,425
52.6395315.056.0(-41.0)#5253.0(-38.0)#1,450
53.6366515.056.0(-41.0)#5353.0(-38.0)#1,470
54.6474315.056.0(-41.0)#5453.0(-38.0)#1,475
55.6570816.056.0(-40.0)#5553.0(-37.0)#1,498
56.6314716.056.0(-40.0)#5653.0(-37.0)#1,517
57.6484316.056.0(-40.0)#5753.0(-37.0)#1,561
58.6465816.056.0(-40.0)#5853.0(-37.0)#1,565
59.6413916.056.0(-40.0)#5953.0(-37.0)#1,581
60.6546216.056.0(-40.0)#6053.0(-37.0)#1,614
61.6484216.056.0(-40.0)#6153.0(-37.0)#1,619
62.6354516.056.0(-40.0)#6253.0(-37.0)#1,620
63.6394216.056.0(-40.0)#6353.0(-37.0)#1,639
64.6523016.056.0(-40.0)#6453.0(-37.0)#1,641
65.6382016.056.0(-40.0)#6553.0(-37.0)#1,648
66.6410517.056.0(-39.0)#6653.0(-36.0)#1,713
67.6310818.056.0(-38.0)#6753.0(-35.0)#1,833
68.6303418.056.0(-38.0)#6853.0(-35.0)#1,835
69.6574218.056.0(-38.0)#6953.0(-35.0)#1,852
70.6401618.056.0(-38.0)#7053.0(-35.0)#1,899
71.6395418.056.0(-38.0)#7153.0(-35.0)#1,973
72.6343418.056.0(-38.0)#7253.0(-35.0)#1,977
73.6307419.056.0(-37.0)#7353.0(-34.0)#2,036
74.6345919.056.0(-37.0)#7453.0(-34.0)#2,096
75.6307219.056.0(-37.0)#7553.0(-34.0)#2,102
76.6543819.056.0(-37.0)#7653.0(-34.0)#2,125
77.6396619.056.0(-37.0)#7753.0(-34.0)#2,132
78.6523719.056.0(-37.0)#7853.0(-34.0)#2,170
79.6363119.056.0(-37.0)#7953.0(-34.0)#2,177
80.6405520.056.0(-36.0)#8053.0(-33.0)#2,201
81.6575720.056.0(-36.0)#8153.0(-33.0)#2,270
82.6486320.056.0(-36.0)#8253.0(-33.0)#2,367
83.6463120.056.0(-36.0)#8353.0(-33.0)#2,392
84.6344620.056.0(-36.0)#8453.0(-33.0)#2,418
85.6304021.056.0(-35.0)#8553.0(-32.0)#2,499
86.6414521.056.0(-35.0)#8653.0(-32.0)#2,532
87.6302321.056.0(-35.0)#8753.0(-32.0)#2,533
88.6335121.056.0(-35.0)#8853.0(-32.0)#2,599
89.6333921.056.0(-35.0)#8953.0(-32.0)#2,619
90.6444521.056.0(-35.0)#9053.0(-32.0)#2,655
91.6402422.056.0(-34.0)#9153.0(-31.0)#2,704
92.6502322.056.0(-34.0)#9253.0(-31.0)#2,827
93.6464322.056.0(-34.0)#9353.0(-31.0)#2,845
94.6374822.056.0(-34.0)#9453.0(-31.0)#2,847
95.6446122.056.0(-34.0)#9553.0(-31.0)#2,864
96.6387922.056.0(-34.0)#9653.0(-31.0)#2,869
97.6568623.056.0(-33.0)#9753.0(-30.0)#3,032
98.6505223.056.0(-33.0)#9853.0(-30.0)#3,051
99.6362723.056.0(-33.0)#9953.0(-30.0)#3,065
100.6445423.056.0(-33.0)#10053.0(-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.