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

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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
Missouri
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.640921,000.051.0(+949)#148.0(+952)#45
2.64422889.051.0(+838)#248.0(+841)#55
3.65702714.051.0(+663)#348.0(+666)#75
4.63454549.051.0(+498)#448.0(+501)#135
5.63430500.051.0(+449)#548.0(+452)#163
6.65335500.051.0(+449)#648.0(+452)#166
7.64499500.051.0(+449)#748.0(+452)#170
8.65280471.051.0(+420)#848.0(+423)#194
9.63387462.051.0(+411)#948.0(+414)#205
10.63952439.051.0(+388)#1048.0(+391)#229
11.65675400.051.0(+349)#1148.0(+352)#264
12.65654381.051.0(+330)#1248.0(+333)#289
13.63735363.051.0(+312)#1348.0(+315)#323
14.64455343.051.0(+292)#1448.0(+295)#360
15.64443335.051.0(+284)#1548.0(+287)#370
16.63784333.051.0(+282)#1648.0(+285)#385
17.63824333.051.0(+282)#1748.0(+285)#388
18.64021330.051.0(+279)#1848.0(+282)#398
19.65620291.051.0(+240)#1948.0(+243)#496
20.63782289.051.0(+238)#2048.0(+241)#505
21.65085287.051.0(+236)#2148.0(+239)#509
22.65761286.051.0(+235)#2248.0(+238)#512
23.63781277.051.0(+226)#2348.0(+229)#546
24.63770267.051.0(+216)#2448.0(+219)#584
25.65354263.051.0(+212)#2548.0(+215)#602
26.65773263.051.0(+212)#2648.0(+215)#605
27.63539261.051.0(+210)#2748.0(+213)#614
28.63440254.051.0(+203)#2848.0(+206)#637
29.64748253.051.0(+202)#2948.0(+205)#638
30.65644250.051.0(+199)#3048.0(+202)#643
31.65064250.051.0(+199)#3148.0(+202)#650
32.65722247.051.0(+196)#3248.0(+199)#675
33.65790247.051.0(+196)#3348.0(+199)#676
34.63437246.051.0(+195)#3448.0(+198)#679
35.64661244.051.0(+193)#3548.0(+196)#693
36.65535242.051.0(+191)#3648.0(+194)#701
37.64430224.051.0(+173)#3748.0(+176)#807
38.65582219.051.0(+168)#3848.0(+171)#838
39.63352219.051.0(+168)#3948.0(+171)#842
40.64844217.051.0(+166)#4048.0(+169)#853
41.63620216.051.0(+165)#4148.0(+168)#864
42.65689211.051.0(+160)#4248.0(+163)#904
43.65014211.051.0(+160)#4348.0(+163)#907
44.65446207.051.0(+156)#4448.0(+159)#936
45.65626205.051.0(+154)#4548.0(+157)#949
46.65710204.051.0(+153)#4648.0(+156)#961
47.64674204.051.0(+153)#4748.0(+156)#965
48.64481200.051.0(+149)#4848.0(+152)#983
49.64622190.051.0(+139)#4948.0(+142)#1,098
50.64431190.051.0(+139)#5048.0(+142)#1,099
51.63785188.051.0(+137)#5148.0(+140)#1,118
52.65075185.051.0(+134)#5248.0(+137)#1,150
53.64633183.051.0(+132)#5348.0(+135)#1,174
54.64745182.051.0(+131)#5448.0(+134)#1,193
55.64451176.051.0(+125)#5548.0(+128)#1,247
56.65649172.051.0(+121)#5648.0(+124)#1,300
57.65650169.051.0(+118)#5748.0(+121)#1,348
58.63039169.051.0(+118)#5848.0(+121)#1,354
59.64723167.051.0(+116)#5948.0(+119)#1,389
60.65623167.051.0(+116)#6048.0(+119)#1,408
61.63848164.051.0(+113)#6148.0(+116)#1,432
62.63120163.051.0(+112)#6248.0(+115)#1,438
63.63390162.051.0(+111)#6348.0(+114)#1,457
64.65590162.051.0(+111)#6448.0(+114)#1,463
65.65764162.051.0(+111)#6548.0(+114)#1,466
66.64689162.051.0(+111)#6648.0(+114)#1,469
67.63882159.051.0(+108)#6748.0(+111)#1,525
68.63828158.051.0(+107)#6848.0(+110)#1,550
69.64137152.051.0(+101)#6948.0(+104)#1,636
70.64668151.051.0(+100.0)#7048.0(+103)#1,662
71.65652150.051.0(+99.0)#7148.0(+102)#1,673
72.63530149.051.0(+98.0)#7248.0(+101)#1,700
73.65629149.051.0(+98.0)#7348.0(+101)#1,705
74.64670146.051.0(+95.0)#7448.0(+98.0)#1,770
75.64664146.051.0(+95.0)#7548.0(+98.0)#1,778
76.65016143.051.0(+92.0)#7648.0(+95.0)#1,824
77.65779143.051.0(+92.0)#7748.0(+95.0)#1,827
78.64487143.051.0(+92.0)#7848.0(+95.0)#1,832
79.63353140.051.0(+89.0)#7948.0(+92.0)#1,892
80.63468139.051.0(+88.0)#8048.0(+91.0)#1,935
81.63106138.051.0(+87.0)#8148.0(+90.0)#1,952
82.65305138.051.0(+87.0)#8248.0(+90.0)#1,959
83.65236138.051.0(+87.0)#8348.0(+90.0)#1,969
84.63445135.051.0(+84.0)#8448.0(+87.0)#2,047
85.63967132.051.0(+81.0)#8548.0(+84.0)#2,134
86.64088130.051.0(+79.0)#8648.0(+82.0)#2,183
87.64428130.051.0(+79.0)#8748.0(+82.0)#2,191
88.64771130.051.0(+79.0)#8848.0(+82.0)#2,194
89.65630130.051.0(+79.0)#8948.0(+82.0)#2,198
90.65770129.051.0(+78.0)#9048.0(+81.0)#2,219
91.63624128.051.0(+77.0)#9148.0(+80.0)#2,244
92.65074128.051.0(+77.0)#9248.0(+80.0)#2,247
93.63662128.051.0(+77.0)#9348.0(+80.0)#2,255
94.63381128.051.0(+77.0)#9448.0(+80.0)#2,257
95.64834127.051.0(+76.0)#9548.0(+79.0)#2,269
96.63565127.051.0(+76.0)#9648.0(+79.0)#2,275
97.64874127.051.0(+76.0)#9748.0(+79.0)#2,294
98.63558127.051.0(+76.0)#9848.0(+79.0)#2,296
99.63380126.051.0(+75.0)#9948.0(+78.0)#2,335
100.64136125.051.0(+74.0)#10048.0(+77.0)#2,351

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Missouri?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Missouri are:
#1
1,000.0
#2
889.0
#3
714.0
#4
549.0
#5
500.0
#6
500.0
#7
500.0
#8
471.0
#9
462.0
#10
439.0
What zip code has the Most Births per 1,000 Women in Labor Force in Missouri?
64092 has the Most Births per 1,000 Women in Labor Force in Missouri with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Missouri?
Number of Births per 1,000 Women in Labor Force in Missouri is 51.0.
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.