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

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
Michigan
Compare Zip Codes
Comparison Subject

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

20.0
0.0
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
1.487304.048.0(-44.0)#148.0(-44.0)#133
2.492285.048.0(-43.0)#248.0(-43.0)#197
3.497657.048.0(-41.0)#348.0(-41.0)#364
4.496608.048.0(-40.0)#448.0(-40.0)#425
5.486048.048.0(-40.0)#548.0(-40.0)#432
6.487348.048.0(-40.0)#648.0(-40.0)#450
7.480548.048.0(-40.0)#748.0(-40.0)#454
8.498808.048.0(-40.0)#848.0(-40.0)#532
9.498168.048.0(-40.0)#948.0(-40.0)#544
10.492849.048.0(-39.0)#1048.0(-39.0)#625
11.496169.048.0(-39.0)#1148.0(-39.0)#631
12.487319.048.0(-39.0)#1248.0(-39.0)#647
13.4820810.048.0(-38.0)#1348.0(-38.0)#734
14.4822610.048.0(-38.0)#1448.0(-38.0)#741
15.4968010.048.0(-38.0)#1548.0(-38.0)#787
16.4845511.048.0(-37.0)#1648.0(-37.0)#877
17.4943711.048.0(-37.0)#1748.0(-37.0)#889
18.4842811.048.0(-37.0)#1848.0(-37.0)#900
19.4863111.048.0(-37.0)#1948.0(-37.0)#922
20.4800211.048.0(-37.0)#2048.0(-37.0)#935
21.4893311.048.0(-37.0)#2148.0(-37.0)#936
22.4870311.048.0(-37.0)#2248.0(-37.0)#938
23.4962211.048.0(-37.0)#2348.0(-37.0)#947
24.4908911.048.0(-37.0)#2448.0(-37.0)#952
25.4995011.048.0(-37.0)#2548.0(-37.0)#980
26.4818912.048.0(-36.0)#2648.0(-36.0)#1,030
27.4934512.048.0(-36.0)#2748.0(-36.0)#1,032
28.4993112.048.0(-36.0)#2848.0(-36.0)#1,040
29.4836312.048.0(-36.0)#2948.0(-36.0)#1,058
30.4993012.048.0(-36.0)#3048.0(-36.0)#1,061
31.4965912.048.0(-36.0)#3148.0(-36.0)#1,064
32.4841412.048.0(-36.0)#3248.0(-36.0)#1,106
33.4887812.048.0(-36.0)#3348.0(-36.0)#1,131
34.4837713.048.0(-35.0)#3448.0(-35.0)#1,185
35.4943113.048.0(-35.0)#3548.0(-35.0)#1,194
36.4835013.048.0(-35.0)#3648.0(-35.0)#1,234
37.4838013.048.0(-35.0)#3748.0(-35.0)#1,235
38.4928313.048.0(-35.0)#3848.0(-35.0)#1,267
39.4971513.048.0(-35.0)#3948.0(-35.0)#1,280
40.4961413.048.0(-35.0)#4048.0(-35.0)#1,285
41.4975513.048.0(-35.0)#4148.0(-35.0)#1,308
42.4911313.048.0(-35.0)#4248.0(-35.0)#1,309
43.4843213.048.0(-35.0)#4348.0(-35.0)#1,340
44.4944414.048.0(-34.0)#4448.0(-34.0)#1,360
45.4835614.048.0(-34.0)#4548.0(-34.0)#1,411
46.4980214.048.0(-34.0)#4648.0(-34.0)#1,426
47.4800514.048.0(-34.0)#4748.0(-34.0)#1,434
48.4978114.048.0(-34.0)#4848.0(-34.0)#1,455
49.4815914.048.0(-34.0)#4948.0(-34.0)#1,472
50.4903414.048.0(-34.0)#5048.0(-34.0)#1,479
51.4966414.048.0(-34.0)#5148.0(-34.0)#1,481
52.4846514.048.0(-34.0)#5248.0(-34.0)#1,527
53.4870815.048.0(-33.0)#5348.0(-33.0)#1,549
54.4832715.048.0(-33.0)#5448.0(-33.0)#1,556
55.4907915.048.0(-33.0)#5548.0(-33.0)#1,577
56.4900715.048.0(-33.0)#5648.0(-33.0)#1,591
57.4964615.048.0(-33.0)#5748.0(-33.0)#1,602
58.4967715.048.0(-33.0)#5848.0(-33.0)#1,615
59.4821815.048.0(-33.0)#5948.0(-33.0)#1,617
60.4934415.048.0(-33.0)#6048.0(-33.0)#1,639
61.4932515.048.0(-33.0)#6148.0(-33.0)#1,667
62.4970515.048.0(-33.0)#6248.0(-33.0)#1,709
63.4991215.048.0(-33.0)#6348.0(-33.0)#1,710
64.4901716.048.0(-32.0)#6448.0(-32.0)#1,765
65.4822516.048.0(-32.0)#6548.0(-32.0)#1,774
66.4804816.048.0(-32.0)#6648.0(-32.0)#1,791
67.4984116.048.0(-32.0)#6748.0(-32.0)#1,813
68.4992016.048.0(-32.0)#6848.0(-32.0)#1,838
69.4932816.048.0(-32.0)#6948.0(-32.0)#1,842
70.4882916.048.0(-32.0)#7048.0(-32.0)#1,851
71.4911716.048.0(-32.0)#7148.0(-32.0)#1,852
72.4962016.048.0(-32.0)#7248.0(-32.0)#1,866
73.4977416.048.0(-32.0)#7348.0(-32.0)#1,879
74.4814617.048.0(-31.0)#7448.0(-31.0)#1,932
75.4902117.048.0(-31.0)#7548.0(-31.0)#2,011
76.4907317.048.0(-31.0)#7648.0(-31.0)#2,022
77.4923317.048.0(-31.0)#7748.0(-31.0)#2,043
78.4905017.048.0(-31.0)#7848.0(-31.0)#2,079
79.4861417.048.0(-31.0)#7948.0(-31.0)#2,097
80.4812618.048.0(-30.0)#8048.0(-30.0)#2,112
81.4882318.048.0(-30.0)#8148.0(-30.0)#2,114
82.4809318.048.0(-30.0)#8248.0(-30.0)#2,145
83.4977018.048.0(-30.0)#8348.0(-30.0)#2,164
84.4934918.048.0(-30.0)#8448.0(-30.0)#2,202
85.4974018.048.0(-30.0)#8548.0(-30.0)#2,205
86.4863418.048.0(-30.0)#8648.0(-30.0)#2,224
87.4872218.048.0(-30.0)#8748.0(-30.0)#2,247
88.4907218.048.0(-30.0)#8848.0(-30.0)#2,256
89.4846718.048.0(-30.0)#8948.0(-30.0)#2,266
90.4810419.048.0(-29.0)#9048.0(-29.0)#2,329
91.4910319.048.0(-29.0)#9148.0(-29.0)#2,402
92.4976619.048.0(-29.0)#9248.0(-29.0)#2,486
93.4819520.048.0(-28.0)#9348.0(-28.0)#2,569
94.4940120.048.0(-28.0)#9448.0(-28.0)#2,574
95.4951920.048.0(-28.0)#9548.0(-28.0)#2,577
96.4834020.048.0(-28.0)#9648.0(-28.0)#2,584
97.4884020.048.0(-28.0)#9748.0(-28.0)#2,634
98.4801720.048.0(-28.0)#9848.0(-28.0)#2,639
99.4946120.048.0(-28.0)#9948.0(-28.0)#2,652
100.4865020.048.0(-28.0)#10048.0(-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.