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

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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
Michigan
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 48730 4.0 48.0 (-44.0)#1 48.0 (-44.0)#133
2. 49228 5.0 48.0 (-43.0)#2 48.0 (-43.0)#197
3. 49765 7.0 48.0 (-41.0)#3 48.0 (-41.0)#364
4. 49660 8.0 48.0 (-40.0)#4 48.0 (-40.0)#425
5. 48604 8.0 48.0 (-40.0)#5 48.0 (-40.0)#432
6. 48734 8.0 48.0 (-40.0)#6 48.0 (-40.0)#450
7. 48054 8.0 48.0 (-40.0)#7 48.0 (-40.0)#454
8. 49880 8.0 48.0 (-40.0)#8 48.0 (-40.0)#532
9. 49816 8.0 48.0 (-40.0)#9 48.0 (-40.0)#544
10. 49284 9.0 48.0 (-39.0)#10 48.0 (-39.0)#625
11. 49616 9.0 48.0 (-39.0)#11 48.0 (-39.0)#631
12. 48731 9.0 48.0 (-39.0)#12 48.0 (-39.0)#647
13. 48208 10.0 48.0 (-38.0)#13 48.0 (-38.0)#734
14. 48226 10.0 48.0 (-38.0)#14 48.0 (-38.0)#741
15. 49680 10.0 48.0 (-38.0)#15 48.0 (-38.0)#787
16. 48455 11.0 48.0 (-37.0)#16 48.0 (-37.0)#877
17. 49437 11.0 48.0 (-37.0)#17 48.0 (-37.0)#889
18. 48428 11.0 48.0 (-37.0)#18 48.0 (-37.0)#900
19. 48631 11.0 48.0 (-37.0)#19 48.0 (-37.0)#922
20. 48002 11.0 48.0 (-37.0)#20 48.0 (-37.0)#935
21. 48933 11.0 48.0 (-37.0)#21 48.0 (-37.0)#936
22. 48703 11.0 48.0 (-37.0)#22 48.0 (-37.0)#938
23. 49622 11.0 48.0 (-37.0)#23 48.0 (-37.0)#947
24. 49089 11.0 48.0 (-37.0)#24 48.0 (-37.0)#952
25. 49950 11.0 48.0 (-37.0)#25 48.0 (-37.0)#980
26. 48189 12.0 48.0 (-36.0)#26 48.0 (-36.0)#1,030
27. 49345 12.0 48.0 (-36.0)#27 48.0 (-36.0)#1,032
28. 49931 12.0 48.0 (-36.0)#28 48.0 (-36.0)#1,040
29. 48363 12.0 48.0 (-36.0)#29 48.0 (-36.0)#1,058
30. 49930 12.0 48.0 (-36.0)#30 48.0 (-36.0)#1,061
31. 49659 12.0 48.0 (-36.0)#31 48.0 (-36.0)#1,064
32. 48414 12.0 48.0 (-36.0)#32 48.0 (-36.0)#1,106
33. 48878 12.0 48.0 (-36.0)#33 48.0 (-36.0)#1,131
34. 48377 13.0 48.0 (-35.0)#34 48.0 (-35.0)#1,185
35. 49431 13.0 48.0 (-35.0)#35 48.0 (-35.0)#1,194
36. 48350 13.0 48.0 (-35.0)#36 48.0 (-35.0)#1,234
37. 48380 13.0 48.0 (-35.0)#37 48.0 (-35.0)#1,235
38. 49283 13.0 48.0 (-35.0)#38 48.0 (-35.0)#1,267
39. 49715 13.0 48.0 (-35.0)#39 48.0 (-35.0)#1,280
40. 49614 13.0 48.0 (-35.0)#40 48.0 (-35.0)#1,285
41. 49755 13.0 48.0 (-35.0)#41 48.0 (-35.0)#1,308
42. 49113 13.0 48.0 (-35.0)#42 48.0 (-35.0)#1,309
43. 48432 13.0 48.0 (-35.0)#43 48.0 (-35.0)#1,340
44. 49444 14.0 48.0 (-34.0)#44 48.0 (-34.0)#1,360
45. 48356 14.0 48.0 (-34.0)#45 48.0 (-34.0)#1,411
46. 49802 14.0 48.0 (-34.0)#46 48.0 (-34.0)#1,426
47. 48005 14.0 48.0 (-34.0)#47 48.0 (-34.0)#1,434
48. 49781 14.0 48.0 (-34.0)#48 48.0 (-34.0)#1,455
49. 48159 14.0 48.0 (-34.0)#49 48.0 (-34.0)#1,472
50. 49034 14.0 48.0 (-34.0)#50 48.0 (-34.0)#1,479
51. 49664 14.0 48.0 (-34.0)#51 48.0 (-34.0)#1,481
52. 48465 14.0 48.0 (-34.0)#52 48.0 (-34.0)#1,527
53. 48708 15.0 48.0 (-33.0)#53 48.0 (-33.0)#1,549
54. 48327 15.0 48.0 (-33.0)#54 48.0 (-33.0)#1,556
55. 49079 15.0 48.0 (-33.0)#55 48.0 (-33.0)#1,577
56. 49007 15.0 48.0 (-33.0)#56 48.0 (-33.0)#1,591
57. 49646 15.0 48.0 (-33.0)#57 48.0 (-33.0)#1,602
58. 49677 15.0 48.0 (-33.0)#58 48.0 (-33.0)#1,615
59. 48218 15.0 48.0 (-33.0)#59 48.0 (-33.0)#1,617
60. 49344 15.0 48.0 (-33.0)#60 48.0 (-33.0)#1,639
61. 49325 15.0 48.0 (-33.0)#61 48.0 (-33.0)#1,667
62. 49705 15.0 48.0 (-33.0)#62 48.0 (-33.0)#1,709
63. 49912 15.0 48.0 (-33.0)#63 48.0 (-33.0)#1,710
64. 49017 16.0 48.0 (-32.0)#64 48.0 (-32.0)#1,765
65. 48225 16.0 48.0 (-32.0)#65 48.0 (-32.0)#1,774
66. 48048 16.0 48.0 (-32.0)#66 48.0 (-32.0)#1,791
67. 49841 16.0 48.0 (-32.0)#67 48.0 (-32.0)#1,813
68. 49920 16.0 48.0 (-32.0)#68 48.0 (-32.0)#1,838
69. 49328 16.0 48.0 (-32.0)#69 48.0 (-32.0)#1,842
70. 48829 16.0 48.0 (-32.0)#70 48.0 (-32.0)#1,851
71. 49117 16.0 48.0 (-32.0)#71 48.0 (-32.0)#1,852
72. 49620 16.0 48.0 (-32.0)#72 48.0 (-32.0)#1,866
73. 49774 16.0 48.0 (-32.0)#73 48.0 (-32.0)#1,879
74. 48146 17.0 48.0 (-31.0)#74 48.0 (-31.0)#1,932
75. 49021 17.0 48.0 (-31.0)#75 48.0 (-31.0)#2,011
76. 49073 17.0 48.0 (-31.0)#76 48.0 (-31.0)#2,022
77. 49233 17.0 48.0 (-31.0)#77 48.0 (-31.0)#2,043
78. 49050 17.0 48.0 (-31.0)#78 48.0 (-31.0)#2,079
79. 48614 17.0 48.0 (-31.0)#79 48.0 (-31.0)#2,097
80. 48126 18.0 48.0 (-30.0)#80 48.0 (-30.0)#2,112
81. 48823 18.0 48.0 (-30.0)#81 48.0 (-30.0)#2,114
82. 48093 18.0 48.0 (-30.0)#82 48.0 (-30.0)#2,145
83. 49770 18.0 48.0 (-30.0)#83 48.0 (-30.0)#2,164
84. 49349 18.0 48.0 (-30.0)#84 48.0 (-30.0)#2,202
85. 49740 18.0 48.0 (-30.0)#85 48.0 (-30.0)#2,205
86. 48634 18.0 48.0 (-30.0)#86 48.0 (-30.0)#2,224
87. 48722 18.0 48.0 (-30.0)#87 48.0 (-30.0)#2,247
88. 49072 18.0 48.0 (-30.0)#88 48.0 (-30.0)#2,256
89. 48467 18.0 48.0 (-30.0)#89 48.0 (-30.0)#2,266
90. 48104 19.0 48.0 (-29.0)#90 48.0 (-29.0)#2,329
91. 49103 19.0 48.0 (-29.0)#91 48.0 (-29.0)#2,402
92. 49766 19.0 48.0 (-29.0)#92 48.0 (-29.0)#2,486
93. 48195 20.0 48.0 (-28.0)#93 48.0 (-28.0)#2,569
94. 49401 20.0 48.0 (-28.0)#94 48.0 (-28.0)#2,574
95. 49519 20.0 48.0 (-28.0)#95 48.0 (-28.0)#2,577
96. 48340 20.0 48.0 (-28.0)#96 48.0 (-28.0)#2,584
97. 48840 20.0 48.0 (-28.0)#97 48.0 (-28.0)#2,634
98. 48017 20.0 48.0 (-28.0)#98 48.0 (-28.0)#2,639
99. 49461 20.0 48.0 (-28.0)#99 48.0 (-28.0)#2,652
100. 48650 20.0 48.0 (-28.0)#100 48.0 (-28.0)#2,678

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Michigan?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Michigan are:
#1
4.0
#2
5.0
#3
7.0
#4
8.0
#5
8.0
#6
8.0
#7
8.0
#8
8.0
#9
8.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Michigan?
48730 has the Lowest Births per 1,000 Women in Labor Force in Michigan with 4.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Michigan?
Number Births per 1,000 Women in Labor Force in Michigan is 48.0.
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.