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

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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
Michigan
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.488961,000.048.0(+952)#148.0(+952)#13
2.490841,000.048.0(+952)#248.0(+952)#53
3.49929517.048.0(+469)#348.0(+469)#153
4.48050333.048.0(+285)#448.0(+285)#372
5.49971333.048.0(+285)#548.0(+285)#377
6.49627326.048.0(+278)#648.0(+278)#406
7.49791286.048.0(+238)#748.0(+238)#518
8.49827274.048.0(+226)#848.0(+226)#560
9.49320260.048.0(+212)#948.0(+212)#617
10.49745255.048.0(+207)#1048.0(+207)#632
11.49628250.048.0(+202)#1148.0(+202)#662
12.49796245.048.0(+197)#1248.0(+197)#690
13.49853240.048.0(+192)#1348.0(+192)#712
14.49710236.048.0(+188)#1448.0(+188)#731
15.49288234.048.0(+186)#1548.0(+186)#742
16.49874232.048.0(+184)#1648.0(+184)#751
17.49947227.048.0(+179)#1748.0(+179)#785
18.49892217.048.0(+169)#1848.0(+169)#854
19.49881217.048.0(+169)#1948.0(+169)#861
20.49259210.048.0(+162)#2048.0(+162)#913
21.48845209.048.0(+161)#2148.0(+161)#921
22.49709207.048.0(+159)#2248.0(+159)#931
23.48434200.048.0(+152)#2348.0(+152)#1,008
24.48014196.048.0(+148)#2448.0(+148)#1,044
25.49261194.048.0(+146)#2548.0(+146)#1,078
26.49125193.048.0(+145)#2648.0(+145)#1,079
27.49665170.048.0(+122)#2748.0(+122)#1,331
28.49347168.048.0(+120)#2848.0(+120)#1,361
29.49834167.048.0(+119)#2948.0(+119)#1,387
30.49818163.048.0(+115)#3048.0(+115)#1,447
31.48628162.048.0(+114)#3148.0(+114)#1,462
32.49965158.048.0(+110)#3248.0(+110)#1,542
33.48417155.048.0(+107)#3348.0(+107)#1,595
34.49267153.048.0(+105)#3448.0(+105)#1,623
35.49969152.048.0(+104)#3548.0(+104)#1,647
36.48157149.048.0(+101)#3648.0(+101)#1,702
37.48122147.048.0(+99.0)#3748.0(+99.0)#1,730
38.48144147.048.0(+99.0)#3848.0(+99.0)#1,734
39.49611146.048.0(+98.0)#3948.0(+98.0)#1,775
40.49726140.048.0(+92.0)#4048.0(+92.0)#1,909
41.48657139.048.0(+91.0)#4148.0(+91.0)#1,923
42.49645139.048.0(+91.0)#4248.0(+91.0)#1,937
43.49083137.048.0(+89.0)#4348.0(+89.0)#1,985
44.49615137.048.0(+89.0)#4448.0(+89.0)#1,989
45.48890136.048.0(+88.0)#4548.0(+88.0)#2,020
46.49412135.048.0(+87.0)#4648.0(+87.0)#2,040
47.49716134.048.0(+86.0)#4748.0(+86.0)#2,084
48.49010133.048.0(+85.0)#4848.0(+85.0)#2,089
49.49270130.048.0(+82.0)#4948.0(+82.0)#2,173
50.49436130.048.0(+82.0)#5048.0(+82.0)#2,181
51.48427129.048.0(+81.0)#5148.0(+81.0)#2,215
52.48754127.048.0(+79.0)#5248.0(+79.0)#2,292
53.48742126.048.0(+78.0)#5348.0(+78.0)#2,330
54.49631124.048.0(+76.0)#5448.0(+76.0)#2,390
55.48027124.048.0(+76.0)#5548.0(+76.0)#2,394
56.49061122.048.0(+74.0)#5648.0(+74.0)#2,451
57.49459121.048.0(+73.0)#5748.0(+73.0)#2,491
58.48505117.048.0(+69.0)#5848.0(+69.0)#2,628
59.49026116.048.0(+68.0)#5948.0(+68.0)#2,689
60.48876115.048.0(+67.0)#6048.0(+67.0)#2,722
61.48051114.048.0(+66.0)#6148.0(+66.0)#2,750
62.49887114.048.0(+66.0)#6248.0(+66.0)#2,763
63.49706112.048.0(+64.0)#6348.0(+64.0)#2,841
64.48831112.048.0(+64.0)#6448.0(+64.0)#2,848
65.49310110.048.0(+62.0)#6548.0(+62.0)#2,960
66.48229108.048.0(+60.0)#6648.0(+60.0)#3,053
67.49265108.048.0(+60.0)#6748.0(+60.0)#3,059
68.49968108.048.0(+60.0)#6848.0(+60.0)#3,070
69.48519107.048.0(+59.0)#6948.0(+59.0)#3,102
70.48302106.048.0(+58.0)#7048.0(+58.0)#3,142
71.48450106.048.0(+58.0)#7148.0(+58.0)#3,152
72.49088106.048.0(+58.0)#7248.0(+58.0)#3,155
73.49332106.048.0(+58.0)#7348.0(+58.0)#3,157
74.49237106.048.0(+58.0)#7448.0(+58.0)#3,159
75.48768105.048.0(+57.0)#7548.0(+57.0)#3,194
76.49420105.048.0(+57.0)#7648.0(+57.0)#3,202
77.49689105.048.0(+57.0)#7748.0(+57.0)#3,228
78.48040104.048.0(+56.0)#7848.0(+56.0)#3,254
79.48238102.048.0(+54.0)#7948.0(+54.0)#3,369
80.48883102.048.0(+54.0)#8048.0(+54.0)#3,385
81.48191102.048.0(+54.0)#8148.0(+54.0)#3,393
82.48749102.048.0(+54.0)#8248.0(+54.0)#3,416
83.49248102.048.0(+54.0)#8348.0(+54.0)#3,422
84.49801101.048.0(+53.0)#8448.0(+53.0)#3,439
85.49102100.048.0(+52.0)#8548.0(+52.0)#3,525
86.4860199.048.0(+51.0)#8648.0(+51.0)#3,553
87.4910199.048.0(+51.0)#8748.0(+51.0)#3,589
88.4876699.048.0(+51.0)#8848.0(+51.0)#3,603
89.4909998.048.0(+50.0)#8948.0(+50.0)#3,643
90.4989498.048.0(+50.0)#9048.0(+50.0)#3,672
91.4883697.048.0(+49.0)#9148.0(+49.0)#3,691
92.4888497.048.0(+49.0)#9248.0(+49.0)#3,716
93.4870197.048.0(+49.0)#9348.0(+49.0)#3,744
94.4940496.048.0(+48.0)#9448.0(+48.0)#3,775
95.4989596.048.0(+48.0)#9548.0(+48.0)#3,818
96.4807495.048.0(+47.0)#9648.0(+47.0)#3,841
97.4934295.048.0(+47.0)#9748.0(+47.0)#3,864
98.4847095.048.0(+47.0)#9848.0(+47.0)#3,875
99.4865894.048.0(+46.0)#9948.0(+46.0)#3,913
100.4846494.048.0(+46.0)#10048.0(+46.0)#3,933

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Michigan?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Michigan are:
#1
1,000.0
#2
1,000.0
#3
517.0
#4
333.0
#5
333.0
#6
326.0
#7
286.0
#8
274.0
#9
260.0
#10
255.0
What zip code has the Most Births per 1,000 Women in Labor Force in Michigan?
48896 has the Most Births per 1,000 Women in Labor Force in Michigan with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Michigan?
Number of Births per 1,000 Women in Labor Force in Michigan is 48.0.
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.