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

RELATED REPORTS & OPTIONS

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

25.0
0.0
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
1.631431.051.0(-50.0)#148.0(-47.0)#3
2.631011.051.0(-50.0)#248.0(-47.0)#10
3.641082.051.0(-49.0)#348.0(-46.0)#19
4.640164.051.0(-47.0)#448.0(-44.0)#132
5.650634.051.0(-47.0)#548.0(-44.0)#136
6.644395.051.0(-46.0)#648.0(-43.0)#223
7.657086.051.0(-45.0)#748.0(-42.0)#249
8.641126.051.0(-45.0)#848.0(-42.0)#256
9.648426.051.0(-45.0)#948.0(-42.0)#306
10.657857.051.0(-44.0)#1048.0(-41.0)#354
11.633617.051.0(-44.0)#1148.0(-41.0)#363
12.657237.051.0(-44.0)#1248.0(-41.0)#375
13.633327.051.0(-44.0)#1348.0(-41.0)#387
14.650597.051.0(-44.0)#1448.0(-41.0)#397
15.655428.051.0(-43.0)#1548.0(-40.0)#457
16.657138.051.0(-43.0)#1648.0(-40.0)#506
17.646798.051.0(-43.0)#1748.0(-40.0)#540
18.656098.051.0(-43.0)#1848.0(-40.0)#546
19.640559.051.0(-42.0)#1948.0(-39.0)#551
20.657409.051.0(-42.0)#2048.0(-39.0)#613
21.633499.051.0(-42.0)#2148.0(-39.0)#637
22.656929.051.0(-42.0)#2248.0(-39.0)#659
23.637679.051.0(-42.0)#2348.0(-39.0)#672
24.6411610.051.0(-41.0)#2448.0(-38.0)#692
25.6374010.051.0(-41.0)#2548.0(-38.0)#753
26.6384610.051.0(-41.0)#2648.0(-38.0)#808
27.6447910.051.0(-41.0)#2748.0(-38.0)#814
28.6346910.051.0(-41.0)#2848.0(-38.0)#817
29.6393610.051.0(-41.0)#2948.0(-38.0)#829
30.6338311.051.0(-40.0)#3048.0(-37.0)#853
31.6580611.051.0(-40.0)#3148.0(-37.0)#855
32.6440111.051.0(-40.0)#3248.0(-37.0)#971
33.6508211.051.0(-40.0)#3348.0(-37.0)#975
34.6307712.051.0(-39.0)#3448.0(-36.0)#1,035
35.6448512.051.0(-39.0)#3548.0(-36.0)#1,054
36.6562512.051.0(-39.0)#3648.0(-36.0)#1,057
37.6566712.051.0(-39.0)#3748.0(-36.0)#1,100
38.6373013.051.0(-38.0)#3848.0(-35.0)#1,275
39.6560613.051.0(-38.0)#3948.0(-35.0)#1,297
40.6386213.051.0(-38.0)#4048.0(-35.0)#1,320
41.6506813.051.0(-38.0)#4148.0(-35.0)#1,331
42.6463713.051.0(-38.0)#4248.0(-35.0)#1,339
43.6310814.051.0(-37.0)#4348.0(-34.0)#1,370
44.6303414.051.0(-37.0)#4448.0(-34.0)#1,375
45.6565614.051.0(-37.0)#4548.0(-34.0)#1,440
46.6560414.051.0(-37.0)#4648.0(-34.0)#1,453
47.6484314.051.0(-37.0)#4748.0(-34.0)#1,457
48.6338414.051.0(-37.0)#4848.0(-34.0)#1,483
49.6334414.051.0(-37.0)#4948.0(-34.0)#1,495
50.6526214.051.0(-37.0)#5048.0(-34.0)#1,513
51.6362314.051.0(-37.0)#5148.0(-34.0)#1,519
52.6307415.051.0(-36.0)#5248.0(-33.0)#1,568
53.6402415.051.0(-36.0)#5348.0(-33.0)#1,570
54.6574215.051.0(-36.0)#5448.0(-33.0)#1,575
55.6573715.051.0(-36.0)#5548.0(-33.0)#1,607
56.6333415.051.0(-36.0)#5648.0(-33.0)#1,613
57.6572515.051.0(-36.0)#5748.0(-33.0)#1,660
58.6535115.051.0(-36.0)#5848.0(-33.0)#1,672
59.6353715.051.0(-36.0)#5948.0(-33.0)#1,675
60.6334515.051.0(-36.0)#6048.0(-33.0)#1,725
61.6411116.051.0(-35.0)#6148.0(-32.0)#1,772
62.6311316.051.0(-35.0)#6248.0(-32.0)#1,783
63.6335716.051.0(-35.0)#6348.0(-32.0)#1,815
64.6403716.051.0(-35.0)#6448.0(-32.0)#1,819
65.6334116.051.0(-35.0)#6548.0(-32.0)#1,848
66.6344116.051.0(-35.0)#6648.0(-32.0)#1,895
67.6410617.051.0(-34.0)#6748.0(-31.0)#1,981
68.6407017.051.0(-34.0)#6848.0(-31.0)#2,039
69.6362717.051.0(-34.0)#6948.0(-31.0)#2,048
70.6577217.051.0(-34.0)#7048.0(-31.0)#2,050
71.6474217.051.0(-34.0)#7148.0(-31.0)#2,052
72.6558817.051.0(-34.0)#7248.0(-31.0)#2,058
73.6383717.051.0(-34.0)#7348.0(-31.0)#2,073
74.6362917.051.0(-34.0)#7448.0(-31.0)#2,090
75.6353317.051.0(-34.0)#7548.0(-31.0)#2,098
76.6406018.051.0(-33.0)#7648.0(-30.0)#2,170
77.6501018.051.0(-33.0)#7748.0(-30.0)#2,209
78.6474718.051.0(-33.0)#7848.0(-30.0)#2,229
79.6467318.051.0(-33.0)#7948.0(-30.0)#2,261
80.6502318.051.0(-33.0)#8048.0(-30.0)#2,284
81.6443718.051.0(-33.0)#8148.0(-30.0)#2,317
82.6312619.051.0(-32.0)#8248.0(-29.0)#2,389
83.6314719.051.0(-32.0)#8348.0(-29.0)#2,419
84.6406219.051.0(-32.0)#8448.0(-29.0)#2,431
85.6304819.051.0(-32.0)#8548.0(-29.0)#2,460
86.6524319.051.0(-32.0)#8648.0(-29.0)#2,480
87.6401919.051.0(-32.0)#8748.0(-29.0)#2,487
88.6413919.051.0(-32.0)#8848.0(-29.0)#2,488
89.6465119.051.0(-32.0)#8948.0(-29.0)#2,535
90.6313520.051.0(-31.0)#9048.0(-28.0)#2,600
91.6547320.051.0(-31.0)#9148.0(-28.0)#2,617
92.6403420.051.0(-31.0)#9248.0(-28.0)#2,656
93.6524020.051.0(-31.0)#9348.0(-28.0)#2,658
94.6575720.051.0(-31.0)#9448.0(-28.0)#2,670
95.6301920.051.0(-31.0)#9548.0(-28.0)#2,705
96.6533420.051.0(-31.0)#9648.0(-28.0)#2,776
97.6570621.051.0(-30.0)#9748.0(-27.0)#2,877
98.6483221.051.0(-30.0)#9848.0(-27.0)#3,026
99.6534821.051.0(-30.0)#9948.0(-27.0)#3,030
100.6314122.051.0(-29.0)#10048.0(-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.