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

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 54157 3.0 48.0 (-45.0)#1 48.0 (-45.0)#62
2. 53235 4.0 48.0 (-44.0)#2 48.0 (-44.0)#107
3. 53703 7.0 48.0 (-41.0)#3 48.0 (-41.0)#309
4. 54949 7.0 48.0 (-41.0)#4 48.0 (-41.0)#373
5. 53544 7.0 48.0 (-41.0)#5 48.0 (-41.0)#404
6. 53821 8.0 48.0 (-40.0)#6 48.0 (-40.0)#446
7. 53910 8.0 48.0 (-40.0)#7 48.0 (-40.0)#489
8. 53098 9.0 48.0 (-39.0)#8 48.0 (-39.0)#577
9. 54005 9.0 48.0 (-39.0)#9 48.0 (-39.0)#619
10. 54524 9.0 48.0 (-39.0)#10 48.0 (-39.0)#669
11. 53715 10.0 48.0 (-38.0)#11 48.0 (-38.0)#696
12. 54153 10.0 48.0 (-38.0)#12 48.0 (-38.0)#739
13. 53202 11.0 48.0 (-37.0)#13 48.0 (-37.0)#836
14. 54527 11.0 48.0 (-37.0)#14 48.0 (-37.0)#983
15. 53713 12.0 48.0 (-36.0)#15 48.0 (-36.0)#1,006
16. 53115 12.0 48.0 (-36.0)#16 48.0 (-36.0)#1,019
17. 53551 12.0 48.0 (-36.0)#17 48.0 (-36.0)#1,046
18. 53528 12.0 48.0 (-36.0)#18 48.0 (-36.0)#1,074
19. 54853 12.0 48.0 (-36.0)#19 48.0 (-36.0)#1,092
20. 53036 12.0 48.0 (-36.0)#20 48.0 (-36.0)#1,101
21. 53943 12.0 48.0 (-36.0)#21 48.0 (-36.0)#1,136
22. 54246 12.0 48.0 (-36.0)#22 48.0 (-36.0)#1,147
23. 53185 13.0 48.0 (-35.0)#23 48.0 (-35.0)#1,189
24. 54129 13.0 48.0 (-35.0)#24 48.0 (-35.0)#1,282
25. 53058 13.0 48.0 (-35.0)#25 48.0 (-35.0)#1,284
26. 54979 13.0 48.0 (-35.0)#26 48.0 (-35.0)#1,306
27. 54512 13.0 48.0 (-35.0)#27 48.0 (-35.0)#1,315
28. 54762 13.0 48.0 (-35.0)#28 48.0 (-35.0)#1,319
29. 54530 13.0 48.0 (-35.0)#29 48.0 (-35.0)#1,334
30. 54720 14.0 48.0 (-34.0)#30 48.0 (-34.0)#1,407
31. 53024 15.0 48.0 (-33.0)#31 48.0 (-33.0)#1,561
32. 53010 15.0 48.0 (-33.0)#32 48.0 (-33.0)#1,612
33. 53726 15.0 48.0 (-33.0)#33 48.0 (-33.0)#1,629
34. 54810 15.0 48.0 (-33.0)#34 48.0 (-33.0)#1,661
35. 53153 15.0 48.0 (-33.0)#35 48.0 (-33.0)#1,663
36. 54664 15.0 48.0 (-33.0)#36 48.0 (-33.0)#1,688
37. 53402 16.0 48.0 (-32.0)#37 48.0 (-32.0)#1,738
38. 54495 16.0 48.0 (-32.0)#38 48.0 (-32.0)#1,806
39. 53181 16.0 48.0 (-32.0)#39 48.0 (-32.0)#1,808
40. 54107 16.0 48.0 (-32.0)#40 48.0 (-32.0)#1,847
41. 54841 16.0 48.0 (-32.0)#41 48.0 (-32.0)#1,921
42. 53014 17.0 48.0 (-31.0)#42 48.0 (-31.0)#1,994
43. 54406 17.0 48.0 (-31.0)#43 48.0 (-31.0)#2,031
44. 53203 17.0 48.0 (-31.0)#44 48.0 (-31.0)#2,059
45. 54566 17.0 48.0 (-31.0)#45 48.0 (-31.0)#2,081
46. 53930 17.0 48.0 (-31.0)#46 48.0 (-31.0)#2,087
47. 54137 17.0 48.0 (-31.0)#47 48.0 (-31.0)#2,093
48. 54763 17.0 48.0 (-31.0)#48 48.0 (-31.0)#2,094
49. 54481 18.0 48.0 (-30.0)#49 48.0 (-30.0)#2,139
50. 53549 18.0 48.0 (-30.0)#50 48.0 (-30.0)#2,192
51. 54739 18.0 48.0 (-30.0)#51 48.0 (-30.0)#2,220
52. 53184 18.0 48.0 (-30.0)#52 48.0 (-30.0)#2,230
53. 54124 18.0 48.0 (-30.0)#53 48.0 (-30.0)#2,245
54. 54247 18.0 48.0 (-30.0)#54 48.0 (-30.0)#2,262
55. 53579 18.0 48.0 (-30.0)#55 48.0 (-30.0)#2,279
56. 54459 18.0 48.0 (-30.0)#56 48.0 (-30.0)#2,293
57. 54476 19.0 48.0 (-29.0)#57 48.0 (-29.0)#2,367
58. 53018 19.0 48.0 (-29.0)#58 48.0 (-29.0)#2,423
59. 54963 19.0 48.0 (-29.0)#59 48.0 (-29.0)#2,425
60. 53119 19.0 48.0 (-29.0)#60 48.0 (-29.0)#2,441
61. 54024 19.0 48.0 (-29.0)#61 48.0 (-29.0)#2,452
62. 54448 19.0 48.0 (-29.0)#62 48.0 (-29.0)#2,456
63. 54619 19.0 48.0 (-29.0)#63 48.0 (-29.0)#2,462
64. 54968 19.0 48.0 (-29.0)#64 48.0 (-29.0)#2,478
65. 53553 19.0 48.0 (-29.0)#65 48.0 (-29.0)#2,525
66. 54155 20.0 48.0 (-28.0)#66 48.0 (-28.0)#2,665
67. 54840 20.0 48.0 (-28.0)#67 48.0 (-28.0)#2,701
68. 54648 20.0 48.0 (-28.0)#68 48.0 (-28.0)#2,751
69. 54965 20.0 48.0 (-28.0)#69 48.0 (-28.0)#2,768
70. 53922 20.0 48.0 (-28.0)#70 48.0 (-28.0)#2,772
71. 54557 20.0 48.0 (-28.0)#71 48.0 (-28.0)#2,773
72. 53405 21.0 48.0 (-27.0)#72 48.0 (-27.0)#2,835
73. 53597 21.0 48.0 (-27.0)#73 48.0 (-27.0)#2,859
74. 53129 21.0 48.0 (-27.0)#74 48.0 (-27.0)#2,884
75. 54971 21.0 48.0 (-27.0)#75 48.0 (-27.0)#2,905
76. 53205 21.0 48.0 (-27.0)#76 48.0 (-27.0)#2,920
77. 54669 21.0 48.0 (-27.0)#77 48.0 (-27.0)#2,924
78. 54015 21.0 48.0 (-27.0)#78 48.0 (-27.0)#2,967
79. 54170 21.0 48.0 (-27.0)#79 48.0 (-27.0)#2,973
80. 54639 21.0 48.0 (-27.0)#80 48.0 (-27.0)#2,994
81. 53065 21.0 48.0 (-27.0)#81 48.0 (-27.0)#2,995
82. 54974 21.0 48.0 (-27.0)#82 48.0 (-27.0)#3,019
83. 54921 21.0 48.0 (-27.0)#83 48.0 (-27.0)#3,024
84. 53550 21.0 48.0 (-27.0)#84 48.0 (-27.0)#3,036
85. 53526 21.0 48.0 (-27.0)#85 48.0 (-27.0)#3,049
86. 53150 22.0 48.0 (-26.0)#86 48.0 (-26.0)#3,099
87. 54026 22.0 48.0 (-26.0)#87 48.0 (-26.0)#3,248
88. 53517 22.0 48.0 (-26.0)#88 48.0 (-26.0)#3,254
89. 53019 22.0 48.0 (-26.0)#89 48.0 (-26.0)#3,256
90. 53063 22.0 48.0 (-26.0)#90 48.0 (-26.0)#3,257
91. 54563 22.0 48.0 (-26.0)#91 48.0 (-26.0)#3,288
92. 54737 22.0 48.0 (-26.0)#92 48.0 (-26.0)#3,302
93. 54650 23.0 48.0 (-25.0)#93 48.0 (-25.0)#3,362
94. 53147 23.0 48.0 (-25.0)#94 48.0 (-25.0)#3,387
95. 53020 23.0 48.0 (-25.0)#95 48.0 (-25.0)#3,488
96. 53941 23.0 48.0 (-25.0)#96 48.0 (-25.0)#3,498
97. 54405 23.0 48.0 (-25.0)#97 48.0 (-25.0)#3,502
98. 54228 23.0 48.0 (-25.0)#98 48.0 (-25.0)#3,503
99. 53507 23.0 48.0 (-25.0)#99 48.0 (-25.0)#3,508
100. 53919 23.0 48.0 (-25.0)#100 48.0 (-25.0)#3,514

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Wisconsin?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Wisconsin are:
#1
3.0
#2
4.0
#3
7.0
#4
7.0
#5
7.0
#6
8.0
#7
8.0
#8
9.0
#9
9.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Wisconsin?
54157 has the Lowest Births per 1,000 Women in Labor Force in Wisconsin with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Wisconsin?
Number Births per 1,000 Women in Labor Force in Wisconsin 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.