Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Wisconsin

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Highest Birth Rate | Below Poverty
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 Below Poverty Level in Wisconsin

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Wisconsin Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Wisconsin

Zip Code Births / 1,000 Women vs State vs National
1.539621,000.052.0(+948)#153.0(+947)#57
2.54422303.052.0(+251)#253.0(+250)#444
3.54928286.052.0(+234)#353.0(+233)#499
4.54978267.052.0(+215)#453.0(+214)#581
5.54651251.052.0(+199)#553.0(+198)#643
6.54845250.052.0(+198)#653.0(+197)#663
7.54458238.052.0(+186)#753.0(+185)#730
8.54150227.052.0(+175)#853.0(+174)#788
9.53598212.052.0(+160)#953.0(+159)#868
10.54209212.052.0(+160)#1053.0(+159)#869
11.54102203.052.0(+151)#1153.0(+150)#948
12.54613199.052.0(+147)#1253.0(+146)#1,000
13.53801198.052.0(+146)#1353.0(+145)#1,008
14.54418194.052.0(+142)#1453.0(+141)#1,051
15.53047188.052.0(+136)#1553.0(+135)#1,130
16.53926178.052.0(+126)#1653.0(+125)#1,242
17.54862175.052.0(+123)#1753.0(+122)#1,286
18.54855174.052.0(+122)#1853.0(+121)#1,302
19.53506171.052.0(+119)#1953.0(+118)#1,353
20.53825170.052.0(+118)#2053.0(+117)#1,373
21.54861169.052.0(+117)#2153.0(+116)#1,393
22.54409168.052.0(+116)#2253.0(+115)#1,394
23.53923168.052.0(+116)#2353.0(+115)#1,400
24.54540163.052.0(+111)#2453.0(+110)#1,501
25.54493163.052.0(+111)#2553.0(+110)#1,506
26.54761159.052.0(+107)#2653.0(+106)#1,574
27.54652159.052.0(+107)#2753.0(+106)#1,576
28.54441157.052.0(+105)#2853.0(+104)#1,622
29.53040152.052.0(+100.0)#2953.0(+99.0)#1,695
30.53963151.052.0(+99.0)#3053.0(+98.0)#1,720
31.53537151.052.0(+99.0)#3153.0(+98.0)#1,735
32.54202150.052.0(+98.0)#3253.0(+97.0)#1,748
33.54450145.052.0(+93.0)#3353.0(+92.0)#1,873
34.53817140.052.0(+88.0)#3453.0(+87.0)#2,008
35.54655137.052.0(+85.0)#3553.0(+84.0)#2,091
36.53950135.052.0(+83.0)#3653.0(+82.0)#2,150
37.54829133.052.0(+81.0)#3753.0(+80.0)#2,219
38.54865133.052.0(+81.0)#3853.0(+80.0)#2,241
39.54489132.052.0(+80.0)#3953.0(+79.0)#2,267
40.53404130.052.0(+78.0)#4053.0(+77.0)#2,306
41.53502130.052.0(+78.0)#4153.0(+77.0)#2,315
42.54498130.052.0(+78.0)#4253.0(+77.0)#2,316
43.54625130.052.0(+78.0)#4353.0(+77.0)#2,349
44.54426129.052.0(+77.0)#4453.0(+76.0)#2,360
45.54835129.052.0(+77.0)#4553.0(+76.0)#2,379
46.54616127.052.0(+75.0)#4653.0(+74.0)#2,441
47.54027126.052.0(+74.0)#4753.0(+73.0)#2,494
48.54756123.052.0(+71.0)#4853.0(+70.0)#2,630
49.53168122.052.0(+70.0)#4953.0(+69.0)#2,648
50.53049121.052.0(+69.0)#5053.0(+68.0)#2,711
51.54545121.052.0(+69.0)#5153.0(+68.0)#2,720
52.54436118.052.0(+66.0)#5253.0(+65.0)#2,831
53.53804118.052.0(+66.0)#5353.0(+65.0)#2,839
54.54806116.052.0(+64.0)#5453.0(+63.0)#2,916
55.54435115.052.0(+63.0)#5553.0(+62.0)#2,989
56.53561115.052.0(+63.0)#5653.0(+62.0)#2,990
57.53808114.052.0(+62.0)#5753.0(+61.0)#3,052
58.54447114.052.0(+62.0)#5853.0(+61.0)#3,057
59.53577113.052.0(+61.0)#5953.0(+60.0)#3,098
60.53541113.052.0(+61.0)#6053.0(+60.0)#3,104
61.54964112.052.0(+60.0)#6153.0(+59.0)#3,171
62.53573111.052.0(+59.0)#6253.0(+58.0)#3,202
63.53911111.052.0(+59.0)#6353.0(+58.0)#3,210
64.53810111.052.0(+59.0)#6453.0(+58.0)#3,228
65.54731110.052.0(+58.0)#6553.0(+57.0)#3,302
66.54875109.052.0(+57.0)#6653.0(+56.0)#3,337
67.54967109.052.0(+57.0)#6753.0(+56.0)#3,350
68.53122108.052.0(+56.0)#6853.0(+55.0)#3,385
69.54930107.052.0(+55.0)#6953.0(+54.0)#3,468
70.54962107.052.0(+55.0)#7053.0(+54.0)#3,483
71.54619106.052.0(+54.0)#7153.0(+53.0)#3,530
72.54141106.052.0(+54.0)#7253.0(+53.0)#3,535
73.54648105.052.0(+53.0)#7353.0(+52.0)#3,611
74.53510105.052.0(+53.0)#7453.0(+52.0)#3,615
75.54867105.052.0(+53.0)#7553.0(+52.0)#3,626
76.54135104.052.0(+52.0)#7653.0(+51.0)#3,667
77.53968102.052.0(+50.0)#7753.0(+49.0)#3,827
78.54113101.052.0(+49.0)#7853.0(+48.0)#3,886
79.54177101.052.0(+49.0)#7953.0(+48.0)#3,891
80.54634100.052.0(+48.0)#8053.0(+47.0)#3,946
81.5441099.052.0(+47.0)#8153.0(+46.0)#4,060
82.5476699.052.0(+47.0)#8253.0(+46.0)#4,070
83.5382699.052.0(+47.0)#8353.0(+46.0)#4,076
84.5497098.052.0(+46.0)#8453.0(+45.0)#4,132
85.5485098.052.0(+46.0)#8553.0(+45.0)#4,177
86.5402196.052.0(+44.0)#8653.0(+43.0)#4,315
87.5359496.052.0(+44.0)#8753.0(+43.0)#4,322
88.5417096.052.0(+44.0)#8853.0(+43.0)#4,331
89.5481496.052.0(+44.0)#8953.0(+43.0)#4,339
90.5400996.052.0(+44.0)#9053.0(+43.0)#4,340
91.5422796.052.0(+44.0)#9153.0(+43.0)#4,350
92.5309295.052.0(+43.0)#9253.0(+42.0)#4,378
93.5467095.052.0(+43.0)#9353.0(+42.0)#4,440
94.5463895.052.0(+43.0)#9453.0(+42.0)#4,447
95.5463994.052.0(+42.0)#9553.0(+41.0)#4,528
96.5453493.052.0(+41.0)#9653.0(+40.0)#4,608
97.5304892.052.0(+40.0)#9753.0(+39.0)#4,694
98.5371791.052.0(+39.0)#9853.0(+38.0)#4,768
99.5317791.052.0(+39.0)#9953.0(+38.0)#4,777
100.5303291.052.0(+39.0)#10053.0(+38.0)#4,785

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Wisconsin?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Wisconsin are:
#1
1,000.0
#2
303.0
#3
286.0
#4
267.0
#5
251.0
#6
250.0
#7
238.0
#8
227.0
#9
212.0
#10
212.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Wisconsin?
53962 has the Most Births per 1,000 Women Below Poverty Level in Wisconsin with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Wisconsin?
Number of Births per 1,000 Women Below Poverty Level in Wisconsin is 52.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.