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. 48896 1,000.0 48.0 (+952)#1 48.0 (+952)#13
2. 49084 1,000.0 48.0 (+952)#2 48.0 (+952)#53
3. 49929 517.0 48.0 (+469)#3 48.0 (+469)#153
4. 48050 333.0 48.0 (+285)#4 48.0 (+285)#372
5. 49971 333.0 48.0 (+285)#5 48.0 (+285)#377
6. 49627 326.0 48.0 (+278)#6 48.0 (+278)#406
7. 49791 286.0 48.0 (+238)#7 48.0 (+238)#518
8. 49827 274.0 48.0 (+226)#8 48.0 (+226)#560
9. 49320 260.0 48.0 (+212)#9 48.0 (+212)#617
10. 49745 255.0 48.0 (+207)#10 48.0 (+207)#632
11. 49628 250.0 48.0 (+202)#11 48.0 (+202)#662
12. 49796 245.0 48.0 (+197)#12 48.0 (+197)#690
13. 49853 240.0 48.0 (+192)#13 48.0 (+192)#712
14. 49710 236.0 48.0 (+188)#14 48.0 (+188)#731
15. 49288 234.0 48.0 (+186)#15 48.0 (+186)#742
16. 49874 232.0 48.0 (+184)#16 48.0 (+184)#751
17. 49947 227.0 48.0 (+179)#17 48.0 (+179)#785
18. 49892 217.0 48.0 (+169)#18 48.0 (+169)#854
19. 49881 217.0 48.0 (+169)#19 48.0 (+169)#861
20. 49259 210.0 48.0 (+162)#20 48.0 (+162)#913
21. 48845 209.0 48.0 (+161)#21 48.0 (+161)#921
22. 49709 207.0 48.0 (+159)#22 48.0 (+159)#931
23. 48434 200.0 48.0 (+152)#23 48.0 (+152)#1,008
24. 48014 196.0 48.0 (+148)#24 48.0 (+148)#1,044
25. 49261 194.0 48.0 (+146)#25 48.0 (+146)#1,078
26. 49125 193.0 48.0 (+145)#26 48.0 (+145)#1,079
27. 49665 170.0 48.0 (+122)#27 48.0 (+122)#1,331
28. 49347 168.0 48.0 (+120)#28 48.0 (+120)#1,361
29. 49834 167.0 48.0 (+119)#29 48.0 (+119)#1,387
30. 49818 163.0 48.0 (+115)#30 48.0 (+115)#1,447
31. 48628 162.0 48.0 (+114)#31 48.0 (+114)#1,462
32. 49965 158.0 48.0 (+110)#32 48.0 (+110)#1,542
33. 48417 155.0 48.0 (+107)#33 48.0 (+107)#1,595
34. 49267 153.0 48.0 (+105)#34 48.0 (+105)#1,623
35. 49969 152.0 48.0 (+104)#35 48.0 (+104)#1,647
36. 48157 149.0 48.0 (+101)#36 48.0 (+101)#1,702
37. 48122 147.0 48.0 (+99.0)#37 48.0 (+99.0)#1,730
38. 48144 147.0 48.0 (+99.0)#38 48.0 (+99.0)#1,734
39. 49611 146.0 48.0 (+98.0)#39 48.0 (+98.0)#1,775
40. 49726 140.0 48.0 (+92.0)#40 48.0 (+92.0)#1,909
41. 48657 139.0 48.0 (+91.0)#41 48.0 (+91.0)#1,923
42. 49645 139.0 48.0 (+91.0)#42 48.0 (+91.0)#1,937
43. 49083 137.0 48.0 (+89.0)#43 48.0 (+89.0)#1,985
44. 49615 137.0 48.0 (+89.0)#44 48.0 (+89.0)#1,989
45. 48890 136.0 48.0 (+88.0)#45 48.0 (+88.0)#2,020
46. 49412 135.0 48.0 (+87.0)#46 48.0 (+87.0)#2,040
47. 49716 134.0 48.0 (+86.0)#47 48.0 (+86.0)#2,084
48. 49010 133.0 48.0 (+85.0)#48 48.0 (+85.0)#2,089
49. 49270 130.0 48.0 (+82.0)#49 48.0 (+82.0)#2,173
50. 49436 130.0 48.0 (+82.0)#50 48.0 (+82.0)#2,181
51. 48427 129.0 48.0 (+81.0)#51 48.0 (+81.0)#2,215
52. 48754 127.0 48.0 (+79.0)#52 48.0 (+79.0)#2,292
53. 48742 126.0 48.0 (+78.0)#53 48.0 (+78.0)#2,330
54. 49631 124.0 48.0 (+76.0)#54 48.0 (+76.0)#2,390
55. 48027 124.0 48.0 (+76.0)#55 48.0 (+76.0)#2,394
56. 49061 122.0 48.0 (+74.0)#56 48.0 (+74.0)#2,451
57. 49459 121.0 48.0 (+73.0)#57 48.0 (+73.0)#2,491
58. 48505 117.0 48.0 (+69.0)#58 48.0 (+69.0)#2,628
59. 49026 116.0 48.0 (+68.0)#59 48.0 (+68.0)#2,689
60. 48876 115.0 48.0 (+67.0)#60 48.0 (+67.0)#2,722
61. 48051 114.0 48.0 (+66.0)#61 48.0 (+66.0)#2,750
62. 49887 114.0 48.0 (+66.0)#62 48.0 (+66.0)#2,763
63. 49706 112.0 48.0 (+64.0)#63 48.0 (+64.0)#2,841
64. 48831 112.0 48.0 (+64.0)#64 48.0 (+64.0)#2,848
65. 49310 110.0 48.0 (+62.0)#65 48.0 (+62.0)#2,960
66. 48229 108.0 48.0 (+60.0)#66 48.0 (+60.0)#3,053
67. 49265 108.0 48.0 (+60.0)#67 48.0 (+60.0)#3,059
68. 49968 108.0 48.0 (+60.0)#68 48.0 (+60.0)#3,070
69. 48519 107.0 48.0 (+59.0)#69 48.0 (+59.0)#3,102
70. 48302 106.0 48.0 (+58.0)#70 48.0 (+58.0)#3,142
71. 48450 106.0 48.0 (+58.0)#71 48.0 (+58.0)#3,152
72. 49088 106.0 48.0 (+58.0)#72 48.0 (+58.0)#3,155
73. 49332 106.0 48.0 (+58.0)#73 48.0 (+58.0)#3,157
74. 49237 106.0 48.0 (+58.0)#74 48.0 (+58.0)#3,159
75. 48768 105.0 48.0 (+57.0)#75 48.0 (+57.0)#3,194
76. 49420 105.0 48.0 (+57.0)#76 48.0 (+57.0)#3,202
77. 49689 105.0 48.0 (+57.0)#77 48.0 (+57.0)#3,228
78. 48040 104.0 48.0 (+56.0)#78 48.0 (+56.0)#3,254
79. 48238 102.0 48.0 (+54.0)#79 48.0 (+54.0)#3,369
80. 48883 102.0 48.0 (+54.0)#80 48.0 (+54.0)#3,385
81. 48191 102.0 48.0 (+54.0)#81 48.0 (+54.0)#3,393
82. 48749 102.0 48.0 (+54.0)#82 48.0 (+54.0)#3,416
83. 49248 102.0 48.0 (+54.0)#83 48.0 (+54.0)#3,422
84. 49801 101.0 48.0 (+53.0)#84 48.0 (+53.0)#3,439
85. 49102 100.0 48.0 (+52.0)#85 48.0 (+52.0)#3,525
86. 48601 99.0 48.0 (+51.0)#86 48.0 (+51.0)#3,553
87. 49101 99.0 48.0 (+51.0)#87 48.0 (+51.0)#3,589
88. 48766 99.0 48.0 (+51.0)#88 48.0 (+51.0)#3,603
89. 49099 98.0 48.0 (+50.0)#89 48.0 (+50.0)#3,643
90. 49894 98.0 48.0 (+50.0)#90 48.0 (+50.0)#3,672
91. 48836 97.0 48.0 (+49.0)#91 48.0 (+49.0)#3,691
92. 48884 97.0 48.0 (+49.0)#92 48.0 (+49.0)#3,716
93. 48701 97.0 48.0 (+49.0)#93 48.0 (+49.0)#3,744
94. 49404 96.0 48.0 (+48.0)#94 48.0 (+48.0)#3,775
95. 49895 96.0 48.0 (+48.0)#95 48.0 (+48.0)#3,818
96. 48074 95.0 48.0 (+47.0)#96 48.0 (+47.0)#3,841
97. 49342 95.0 48.0 (+47.0)#97 48.0 (+47.0)#3,864
98. 48470 95.0 48.0 (+47.0)#98 48.0 (+47.0)#3,875
99. 48658 94.0 48.0 (+46.0)#99 48.0 (+46.0)#3,913
100. 48464 94.0 48.0 (+46.0)#100 48.0 (+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.