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

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Wisconsin Map

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

Zip Code Births / 1,000 Women vs State vs National
1.539621,000.048.0(+952)#148.0(+952)#50
2.54845357.048.0(+309)#248.0(+309)#333
3.54209254.048.0(+206)#348.0(+206)#635
4.54458238.048.0(+190)#448.0(+190)#727
5.54613224.048.0(+176)#548.0(+176)#806
6.54928213.048.0(+165)#648.0(+165)#894
7.54150212.048.0(+164)#748.0(+164)#896
8.53598209.048.0(+161)#848.0(+161)#916
9.53506206.048.0(+158)#948.0(+158)#941
10.54967200.048.0(+152)#1048.0(+152)#990
11.54862200.048.0(+152)#1148.0(+152)#999
12.54422198.048.0(+150)#1248.0(+150)#1,027
13.54835198.048.0(+150)#1348.0(+150)#1,032
14.53047188.048.0(+140)#1448.0(+140)#1,122
15.54861185.048.0(+137)#1548.0(+137)#1,157
16.54202184.048.0(+136)#1648.0(+136)#1,159
17.54441182.048.0(+134)#1748.0(+134)#1,184
18.54978182.048.0(+134)#1848.0(+134)#1,192
19.54489178.048.0(+130)#1948.0(+130)#1,227
20.54027162.048.0(+114)#2048.0(+114)#1,467
21.53040158.048.0(+110)#2148.0(+110)#1,528
22.54135150.048.0(+102)#2248.0(+102)#1,677
23.53049143.048.0(+95.0)#2348.0(+95.0)#1,816
24.54756143.048.0(+95.0)#2448.0(+95.0)#1,828
25.53404139.048.0(+91.0)#2548.0(+91.0)#1,920
26.54964136.048.0(+88.0)#2648.0(+88.0)#2,024
27.54867133.048.0(+85.0)#2748.0(+85.0)#2,113
28.53808131.048.0(+83.0)#2848.0(+83.0)#2,161
29.54829129.048.0(+81.0)#2948.0(+81.0)#2,211
30.53963128.048.0(+80.0)#3048.0(+80.0)#2,238
31.53826128.048.0(+80.0)#3148.0(+80.0)#2,252
32.54436127.048.0(+79.0)#3248.0(+79.0)#2,282
33.54493127.048.0(+79.0)#3348.0(+79.0)#2,297
34.53950126.048.0(+78.0)#3448.0(+78.0)#2,315
35.53561126.048.0(+78.0)#3548.0(+78.0)#2,326
36.54113124.048.0(+76.0)#3648.0(+76.0)#2,393
37.54409123.048.0(+75.0)#3748.0(+75.0)#2,411
38.54930123.048.0(+75.0)#3848.0(+75.0)#2,426
39.54638122.048.0(+74.0)#3948.0(+74.0)#2,455
40.54875122.048.0(+74.0)#4048.0(+74.0)#2,456
41.54515122.048.0(+74.0)#4148.0(+74.0)#2,463
42.53810122.048.0(+74.0)#4248.0(+74.0)#2,469
43.54850121.048.0(+73.0)#4348.0(+73.0)#2,501
44.53573120.048.0(+72.0)#4448.0(+72.0)#2,518
45.54009119.048.0(+71.0)#4548.0(+71.0)#2,560
46.53577119.048.0(+71.0)#4648.0(+71.0)#2,571
47.54175117.048.0(+69.0)#4748.0(+69.0)#2,661
48.54540117.048.0(+69.0)#4848.0(+69.0)#2,662
49.54865117.048.0(+69.0)#4948.0(+69.0)#2,664
50.54534116.048.0(+68.0)#5048.0(+68.0)#2,681
51.53911115.048.0(+67.0)#5148.0(+67.0)#2,735
52.54450115.048.0(+67.0)#5248.0(+67.0)#2,744
53.54454112.048.0(+64.0)#5348.0(+64.0)#2,855
54.53968111.048.0(+63.0)#5448.0(+63.0)#2,896
55.54541111.048.0(+63.0)#5548.0(+63.0)#2,905
56.53817111.048.0(+63.0)#5648.0(+63.0)#2,935
57.53122110.048.0(+62.0)#5748.0(+62.0)#2,954
58.53510110.048.0(+62.0)#5848.0(+62.0)#2,976
59.54962110.048.0(+62.0)#5948.0(+62.0)#2,982
60.54111109.048.0(+61.0)#6048.0(+61.0)#3,019
61.54234108.048.0(+60.0)#6148.0(+60.0)#3,071
62.54806107.048.0(+59.0)#6248.0(+59.0)#3,097
63.54814107.048.0(+59.0)#6348.0(+59.0)#3,116
64.53923107.048.0(+59.0)#6448.0(+59.0)#3,119
65.53016107.048.0(+59.0)#6548.0(+59.0)#3,137
66.54169106.048.0(+58.0)#6648.0(+58.0)#3,158
67.54670106.048.0(+58.0)#6748.0(+58.0)#3,166
68.54653105.048.0(+57.0)#6848.0(+57.0)#3,231
69.53502104.048.0(+56.0)#6948.0(+56.0)#3,278
70.53827103.048.0(+55.0)#7048.0(+55.0)#3,362
71.53088103.048.0(+55.0)#7148.0(+55.0)#3,366
72.53183102.048.0(+54.0)#7248.0(+54.0)#3,400
73.53156101.048.0(+53.0)#7348.0(+53.0)#3,460
74.54766100.048.0(+52.0)#7448.0(+52.0)#3,521
75.5497098.048.0(+50.0)#7548.0(+50.0)#3,648
76.5456298.048.0(+50.0)#7648.0(+50.0)#3,661
77.5410298.048.0(+50.0)#7748.0(+50.0)#3,676
78.5442696.048.0(+48.0)#7848.0(+48.0)#3,789
79.5498496.048.0(+48.0)#7948.0(+48.0)#3,795
80.5309295.048.0(+47.0)#8048.0(+47.0)#3,834
81.5303294.048.0(+46.0)#8148.0(+46.0)#3,912
82.5443594.048.0(+46.0)#8248.0(+46.0)#3,932
83.5462894.048.0(+46.0)#8348.0(+46.0)#3,943
84.5354194.048.0(+46.0)#8448.0(+46.0)#3,946
85.5495292.048.0(+44.0)#8548.0(+44.0)#4,037
86.5400392.048.0(+44.0)#8648.0(+44.0)#4,089
87.5441291.048.0(+43.0)#8748.0(+43.0)#4,158
88.5449490.048.0(+42.0)#8848.0(+42.0)#4,214
89.5314390.048.0(+42.0)#8948.0(+42.0)#4,216
90.5422790.048.0(+42.0)#9048.0(+42.0)#4,268
91.5316889.048.0(+41.0)#9148.0(+41.0)#4,325
92.5446989.048.0(+41.0)#9248.0(+41.0)#4,364
93.5463189.048.0(+41.0)#9348.0(+41.0)#4,365
94.5486489.048.0(+41.0)#9448.0(+41.0)#4,372
95.5300288.048.0(+40.0)#9548.0(+40.0)#4,452
96.5420588.048.0(+40.0)#9648.0(+40.0)#4,454
97.5402387.048.0(+39.0)#9748.0(+39.0)#4,538
98.5351587.048.0(+39.0)#9848.0(+39.0)#4,551
99.5447187.048.0(+39.0)#9948.0(+39.0)#4,564
100.5356686.048.0(+38.0)#10048.0(+38.0)#4,605

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Wisconsin?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Wisconsin are:
#1
1,000.0
#2
357.0
#3
254.0
#4
238.0
#5
224.0
#6
213.0
#7
212.0
#8
209.0
#9
206.0
#10
200.0
What zip code has the Most Births per 1,000 Women in Labor Force in Wisconsin?
53962 has the Most Births per 1,000 Women in Labor Force in Wisconsin with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Wisconsin?
Number of Births per 1,000 Women in Labor Force in Wisconsin 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.