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
1.541573.048.0(-45.0)#148.0(-45.0)#62
2.532354.048.0(-44.0)#248.0(-44.0)#107
3.537037.048.0(-41.0)#348.0(-41.0)#309
4.549497.048.0(-41.0)#448.0(-41.0)#373
5.535447.048.0(-41.0)#548.0(-41.0)#404
6.538218.048.0(-40.0)#648.0(-40.0)#446
7.539108.048.0(-40.0)#748.0(-40.0)#489
8.530989.048.0(-39.0)#848.0(-39.0)#577
9.540059.048.0(-39.0)#948.0(-39.0)#619
10.545249.048.0(-39.0)#1048.0(-39.0)#669
11.5371510.048.0(-38.0)#1148.0(-38.0)#696
12.5415310.048.0(-38.0)#1248.0(-38.0)#739
13.5320211.048.0(-37.0)#1348.0(-37.0)#836
14.5452711.048.0(-37.0)#1448.0(-37.0)#983
15.5371312.048.0(-36.0)#1548.0(-36.0)#1,006
16.5311512.048.0(-36.0)#1648.0(-36.0)#1,019
17.5355112.048.0(-36.0)#1748.0(-36.0)#1,046
18.5352812.048.0(-36.0)#1848.0(-36.0)#1,074
19.5485312.048.0(-36.0)#1948.0(-36.0)#1,092
20.5303612.048.0(-36.0)#2048.0(-36.0)#1,101
21.5394312.048.0(-36.0)#2148.0(-36.0)#1,136
22.5424612.048.0(-36.0)#2248.0(-36.0)#1,147
23.5318513.048.0(-35.0)#2348.0(-35.0)#1,189
24.5412913.048.0(-35.0)#2448.0(-35.0)#1,282
25.5305813.048.0(-35.0)#2548.0(-35.0)#1,284
26.5497913.048.0(-35.0)#2648.0(-35.0)#1,306
27.5451213.048.0(-35.0)#2748.0(-35.0)#1,315
28.5476213.048.0(-35.0)#2848.0(-35.0)#1,319
29.5453013.048.0(-35.0)#2948.0(-35.0)#1,334
30.5472014.048.0(-34.0)#3048.0(-34.0)#1,407
31.5302415.048.0(-33.0)#3148.0(-33.0)#1,561
32.5301015.048.0(-33.0)#3248.0(-33.0)#1,612
33.5372615.048.0(-33.0)#3348.0(-33.0)#1,629
34.5481015.048.0(-33.0)#3448.0(-33.0)#1,661
35.5315315.048.0(-33.0)#3548.0(-33.0)#1,663
36.5466415.048.0(-33.0)#3648.0(-33.0)#1,688
37.5340216.048.0(-32.0)#3748.0(-32.0)#1,738
38.5449516.048.0(-32.0)#3848.0(-32.0)#1,806
39.5318116.048.0(-32.0)#3948.0(-32.0)#1,808
40.5410716.048.0(-32.0)#4048.0(-32.0)#1,847
41.5484116.048.0(-32.0)#4148.0(-32.0)#1,921
42.5301417.048.0(-31.0)#4248.0(-31.0)#1,994
43.5440617.048.0(-31.0)#4348.0(-31.0)#2,031
44.5320317.048.0(-31.0)#4448.0(-31.0)#2,059
45.5456617.048.0(-31.0)#4548.0(-31.0)#2,081
46.5393017.048.0(-31.0)#4648.0(-31.0)#2,087
47.5413717.048.0(-31.0)#4748.0(-31.0)#2,093
48.5476317.048.0(-31.0)#4848.0(-31.0)#2,094
49.5448118.048.0(-30.0)#4948.0(-30.0)#2,139
50.5354918.048.0(-30.0)#5048.0(-30.0)#2,192
51.5473918.048.0(-30.0)#5148.0(-30.0)#2,220
52.5318418.048.0(-30.0)#5248.0(-30.0)#2,230
53.5412418.048.0(-30.0)#5348.0(-30.0)#2,245
54.5424718.048.0(-30.0)#5448.0(-30.0)#2,262
55.5357918.048.0(-30.0)#5548.0(-30.0)#2,279
56.5445918.048.0(-30.0)#5648.0(-30.0)#2,293
57.5447619.048.0(-29.0)#5748.0(-29.0)#2,367
58.5301819.048.0(-29.0)#5848.0(-29.0)#2,423
59.5496319.048.0(-29.0)#5948.0(-29.0)#2,425
60.5311919.048.0(-29.0)#6048.0(-29.0)#2,441
61.5402419.048.0(-29.0)#6148.0(-29.0)#2,452
62.5444819.048.0(-29.0)#6248.0(-29.0)#2,456
63.5461919.048.0(-29.0)#6348.0(-29.0)#2,462
64.5496819.048.0(-29.0)#6448.0(-29.0)#2,478
65.5355319.048.0(-29.0)#6548.0(-29.0)#2,525
66.5415520.048.0(-28.0)#6648.0(-28.0)#2,665
67.5484020.048.0(-28.0)#6748.0(-28.0)#2,701
68.5464820.048.0(-28.0)#6848.0(-28.0)#2,751
69.5496520.048.0(-28.0)#6948.0(-28.0)#2,768
70.5392220.048.0(-28.0)#7048.0(-28.0)#2,772
71.5455720.048.0(-28.0)#7148.0(-28.0)#2,773
72.5340521.048.0(-27.0)#7248.0(-27.0)#2,835
73.5359721.048.0(-27.0)#7348.0(-27.0)#2,859
74.5312921.048.0(-27.0)#7448.0(-27.0)#2,884
75.5497121.048.0(-27.0)#7548.0(-27.0)#2,905
76.5320521.048.0(-27.0)#7648.0(-27.0)#2,920
77.5466921.048.0(-27.0)#7748.0(-27.0)#2,924
78.5401521.048.0(-27.0)#7848.0(-27.0)#2,967
79.5417021.048.0(-27.0)#7948.0(-27.0)#2,973
80.5463921.048.0(-27.0)#8048.0(-27.0)#2,994
81.5306521.048.0(-27.0)#8148.0(-27.0)#2,995
82.5497421.048.0(-27.0)#8248.0(-27.0)#3,019
83.5492121.048.0(-27.0)#8348.0(-27.0)#3,024
84.5355021.048.0(-27.0)#8448.0(-27.0)#3,036
85.5352621.048.0(-27.0)#8548.0(-27.0)#3,049
86.5315022.048.0(-26.0)#8648.0(-26.0)#3,099
87.5402622.048.0(-26.0)#8748.0(-26.0)#3,248
88.5351722.048.0(-26.0)#8848.0(-26.0)#3,254
89.5301922.048.0(-26.0)#8948.0(-26.0)#3,256
90.5306322.048.0(-26.0)#9048.0(-26.0)#3,257
91.5456322.048.0(-26.0)#9148.0(-26.0)#3,288
92.5473722.048.0(-26.0)#9248.0(-26.0)#3,302
93.5465023.048.0(-25.0)#9348.0(-25.0)#3,362
94.5314723.048.0(-25.0)#9448.0(-25.0)#3,387
95.5302023.048.0(-25.0)#9548.0(-25.0)#3,488
96.5394123.048.0(-25.0)#9648.0(-25.0)#3,498
97.5440523.048.0(-25.0)#9748.0(-25.0)#3,502
98.5422823.048.0(-25.0)#9848.0(-25.0)#3,503
99.5350723.048.0(-25.0)#9948.0(-25.0)#3,508
100.5391923.048.0(-25.0)#10048.0(-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.