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. 53962 1,000.0 52.0 (+948)#1 53.0 (+947)#57
2. 54422 303.0 52.0 (+251)#2 53.0 (+250)#444
3. 54928 286.0 52.0 (+234)#3 53.0 (+233)#499
4. 54978 267.0 52.0 (+215)#4 53.0 (+214)#581
5. 54651 251.0 52.0 (+199)#5 53.0 (+198)#643
6. 54845 250.0 52.0 (+198)#6 53.0 (+197)#663
7. 54458 238.0 52.0 (+186)#7 53.0 (+185)#730
8. 54150 227.0 52.0 (+175)#8 53.0 (+174)#788
9. 53598 212.0 52.0 (+160)#9 53.0 (+159)#868
10. 54209 212.0 52.0 (+160)#10 53.0 (+159)#869
11. 54102 203.0 52.0 (+151)#11 53.0 (+150)#948
12. 54613 199.0 52.0 (+147)#12 53.0 (+146)#1,000
13. 53801 198.0 52.0 (+146)#13 53.0 (+145)#1,008
14. 54418 194.0 52.0 (+142)#14 53.0 (+141)#1,051
15. 53047 188.0 52.0 (+136)#15 53.0 (+135)#1,130
16. 53926 178.0 52.0 (+126)#16 53.0 (+125)#1,242
17. 54862 175.0 52.0 (+123)#17 53.0 (+122)#1,286
18. 54855 174.0 52.0 (+122)#18 53.0 (+121)#1,302
19. 53506 171.0 52.0 (+119)#19 53.0 (+118)#1,353
20. 53825 170.0 52.0 (+118)#20 53.0 (+117)#1,373
21. 54861 169.0 52.0 (+117)#21 53.0 (+116)#1,393
22. 54409 168.0 52.0 (+116)#22 53.0 (+115)#1,394
23. 53923 168.0 52.0 (+116)#23 53.0 (+115)#1,400
24. 54540 163.0 52.0 (+111)#24 53.0 (+110)#1,501
25. 54493 163.0 52.0 (+111)#25 53.0 (+110)#1,506
26. 54761 159.0 52.0 (+107)#26 53.0 (+106)#1,574
27. 54652 159.0 52.0 (+107)#27 53.0 (+106)#1,576
28. 54441 157.0 52.0 (+105)#28 53.0 (+104)#1,622
29. 53040 152.0 52.0 (+100.0)#29 53.0 (+99.0)#1,695
30. 53963 151.0 52.0 (+99.0)#30 53.0 (+98.0)#1,720
31. 53537 151.0 52.0 (+99.0)#31 53.0 (+98.0)#1,735
32. 54202 150.0 52.0 (+98.0)#32 53.0 (+97.0)#1,748
33. 54450 145.0 52.0 (+93.0)#33 53.0 (+92.0)#1,873
34. 53817 140.0 52.0 (+88.0)#34 53.0 (+87.0)#2,008
35. 54655 137.0 52.0 (+85.0)#35 53.0 (+84.0)#2,091
36. 53950 135.0 52.0 (+83.0)#36 53.0 (+82.0)#2,150
37. 54829 133.0 52.0 (+81.0)#37 53.0 (+80.0)#2,219
38. 54865 133.0 52.0 (+81.0)#38 53.0 (+80.0)#2,241
39. 54489 132.0 52.0 (+80.0)#39 53.0 (+79.0)#2,267
40. 53404 130.0 52.0 (+78.0)#40 53.0 (+77.0)#2,306
41. 53502 130.0 52.0 (+78.0)#41 53.0 (+77.0)#2,315
42. 54498 130.0 52.0 (+78.0)#42 53.0 (+77.0)#2,316
43. 54625 130.0 52.0 (+78.0)#43 53.0 (+77.0)#2,349
44. 54426 129.0 52.0 (+77.0)#44 53.0 (+76.0)#2,360
45. 54835 129.0 52.0 (+77.0)#45 53.0 (+76.0)#2,379
46. 54616 127.0 52.0 (+75.0)#46 53.0 (+74.0)#2,441
47. 54027 126.0 52.0 (+74.0)#47 53.0 (+73.0)#2,494
48. 54756 123.0 52.0 (+71.0)#48 53.0 (+70.0)#2,630
49. 53168 122.0 52.0 (+70.0)#49 53.0 (+69.0)#2,648
50. 53049 121.0 52.0 (+69.0)#50 53.0 (+68.0)#2,711
51. 54545 121.0 52.0 (+69.0)#51 53.0 (+68.0)#2,720
52. 54436 118.0 52.0 (+66.0)#52 53.0 (+65.0)#2,831
53. 53804 118.0 52.0 (+66.0)#53 53.0 (+65.0)#2,839
54. 54806 116.0 52.0 (+64.0)#54 53.0 (+63.0)#2,916
55. 54435 115.0 52.0 (+63.0)#55 53.0 (+62.0)#2,989
56. 53561 115.0 52.0 (+63.0)#56 53.0 (+62.0)#2,990
57. 53808 114.0 52.0 (+62.0)#57 53.0 (+61.0)#3,052
58. 54447 114.0 52.0 (+62.0)#58 53.0 (+61.0)#3,057
59. 53577 113.0 52.0 (+61.0)#59 53.0 (+60.0)#3,098
60. 53541 113.0 52.0 (+61.0)#60 53.0 (+60.0)#3,104
61. 54964 112.0 52.0 (+60.0)#61 53.0 (+59.0)#3,171
62. 53573 111.0 52.0 (+59.0)#62 53.0 (+58.0)#3,202
63. 53911 111.0 52.0 (+59.0)#63 53.0 (+58.0)#3,210
64. 53810 111.0 52.0 (+59.0)#64 53.0 (+58.0)#3,228
65. 54731 110.0 52.0 (+58.0)#65 53.0 (+57.0)#3,302
66. 54875 109.0 52.0 (+57.0)#66 53.0 (+56.0)#3,337
67. 54967 109.0 52.0 (+57.0)#67 53.0 (+56.0)#3,350
68. 53122 108.0 52.0 (+56.0)#68 53.0 (+55.0)#3,385
69. 54930 107.0 52.0 (+55.0)#69 53.0 (+54.0)#3,468
70. 54962 107.0 52.0 (+55.0)#70 53.0 (+54.0)#3,483
71. 54619 106.0 52.0 (+54.0)#71 53.0 (+53.0)#3,530
72. 54141 106.0 52.0 (+54.0)#72 53.0 (+53.0)#3,535
73. 54648 105.0 52.0 (+53.0)#73 53.0 (+52.0)#3,611
74. 53510 105.0 52.0 (+53.0)#74 53.0 (+52.0)#3,615
75. 54867 105.0 52.0 (+53.0)#75 53.0 (+52.0)#3,626
76. 54135 104.0 52.0 (+52.0)#76 53.0 (+51.0)#3,667
77. 53968 102.0 52.0 (+50.0)#77 53.0 (+49.0)#3,827
78. 54113 101.0 52.0 (+49.0)#78 53.0 (+48.0)#3,886
79. 54177 101.0 52.0 (+49.0)#79 53.0 (+48.0)#3,891
80. 54634 100.0 52.0 (+48.0)#80 53.0 (+47.0)#3,946
81. 54410 99.0 52.0 (+47.0)#81 53.0 (+46.0)#4,060
82. 54766 99.0 52.0 (+47.0)#82 53.0 (+46.0)#4,070
83. 53826 99.0 52.0 (+47.0)#83 53.0 (+46.0)#4,076
84. 54970 98.0 52.0 (+46.0)#84 53.0 (+45.0)#4,132
85. 54850 98.0 52.0 (+46.0)#85 53.0 (+45.0)#4,177
86. 54021 96.0 52.0 (+44.0)#86 53.0 (+43.0)#4,315
87. 53594 96.0 52.0 (+44.0)#87 53.0 (+43.0)#4,322
88. 54170 96.0 52.0 (+44.0)#88 53.0 (+43.0)#4,331
89. 54814 96.0 52.0 (+44.0)#89 53.0 (+43.0)#4,339
90. 54009 96.0 52.0 (+44.0)#90 53.0 (+43.0)#4,340
91. 54227 96.0 52.0 (+44.0)#91 53.0 (+43.0)#4,350
92. 53092 95.0 52.0 (+43.0)#92 53.0 (+42.0)#4,378
93. 54670 95.0 52.0 (+43.0)#93 53.0 (+42.0)#4,440
94. 54638 95.0 52.0 (+43.0)#94 53.0 (+42.0)#4,447
95. 54639 94.0 52.0 (+42.0)#95 53.0 (+41.0)#4,528
96. 54534 93.0 52.0 (+41.0)#96 53.0 (+40.0)#4,608
97. 53048 92.0 52.0 (+40.0)#97 53.0 (+39.0)#4,694
98. 53717 91.0 52.0 (+39.0)#98 53.0 (+38.0)#4,768
99. 53177 91.0 52.0 (+39.0)#99 53.0 (+38.0)#4,777
100. 53032 91.0 52.0 (+39.0)#100 53.0 (+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.