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. 53962 1,000.0 48.0 (+952)#1 48.0 (+952)#50
2. 54845 357.0 48.0 (+309)#2 48.0 (+309)#333
3. 54209 254.0 48.0 (+206)#3 48.0 (+206)#635
4. 54458 238.0 48.0 (+190)#4 48.0 (+190)#727
5. 54613 224.0 48.0 (+176)#5 48.0 (+176)#806
6. 54928 213.0 48.0 (+165)#6 48.0 (+165)#894
7. 54150 212.0 48.0 (+164)#7 48.0 (+164)#896
8. 53598 209.0 48.0 (+161)#8 48.0 (+161)#916
9. 53506 206.0 48.0 (+158)#9 48.0 (+158)#941
10. 54967 200.0 48.0 (+152)#10 48.0 (+152)#990
11. 54862 200.0 48.0 (+152)#11 48.0 (+152)#999
12. 54422 198.0 48.0 (+150)#12 48.0 (+150)#1,027
13. 54835 198.0 48.0 (+150)#13 48.0 (+150)#1,032
14. 53047 188.0 48.0 (+140)#14 48.0 (+140)#1,122
15. 54861 185.0 48.0 (+137)#15 48.0 (+137)#1,157
16. 54202 184.0 48.0 (+136)#16 48.0 (+136)#1,159
17. 54441 182.0 48.0 (+134)#17 48.0 (+134)#1,184
18. 54978 182.0 48.0 (+134)#18 48.0 (+134)#1,192
19. 54489 178.0 48.0 (+130)#19 48.0 (+130)#1,227
20. 54027 162.0 48.0 (+114)#20 48.0 (+114)#1,467
21. 53040 158.0 48.0 (+110)#21 48.0 (+110)#1,528
22. 54135 150.0 48.0 (+102)#22 48.0 (+102)#1,677
23. 53049 143.0 48.0 (+95.0)#23 48.0 (+95.0)#1,816
24. 54756 143.0 48.0 (+95.0)#24 48.0 (+95.0)#1,828
25. 53404 139.0 48.0 (+91.0)#25 48.0 (+91.0)#1,920
26. 54964 136.0 48.0 (+88.0)#26 48.0 (+88.0)#2,024
27. 54867 133.0 48.0 (+85.0)#27 48.0 (+85.0)#2,113
28. 53808 131.0 48.0 (+83.0)#28 48.0 (+83.0)#2,161
29. 54829 129.0 48.0 (+81.0)#29 48.0 (+81.0)#2,211
30. 53963 128.0 48.0 (+80.0)#30 48.0 (+80.0)#2,238
31. 53826 128.0 48.0 (+80.0)#31 48.0 (+80.0)#2,252
32. 54436 127.0 48.0 (+79.0)#32 48.0 (+79.0)#2,282
33. 54493 127.0 48.0 (+79.0)#33 48.0 (+79.0)#2,297
34. 53950 126.0 48.0 (+78.0)#34 48.0 (+78.0)#2,315
35. 53561 126.0 48.0 (+78.0)#35 48.0 (+78.0)#2,326
36. 54113 124.0 48.0 (+76.0)#36 48.0 (+76.0)#2,393
37. 54409 123.0 48.0 (+75.0)#37 48.0 (+75.0)#2,411
38. 54930 123.0 48.0 (+75.0)#38 48.0 (+75.0)#2,426
39. 54638 122.0 48.0 (+74.0)#39 48.0 (+74.0)#2,455
40. 54875 122.0 48.0 (+74.0)#40 48.0 (+74.0)#2,456
41. 54515 122.0 48.0 (+74.0)#41 48.0 (+74.0)#2,463
42. 53810 122.0 48.0 (+74.0)#42 48.0 (+74.0)#2,469
43. 54850 121.0 48.0 (+73.0)#43 48.0 (+73.0)#2,501
44. 53573 120.0 48.0 (+72.0)#44 48.0 (+72.0)#2,518
45. 54009 119.0 48.0 (+71.0)#45 48.0 (+71.0)#2,560
46. 53577 119.0 48.0 (+71.0)#46 48.0 (+71.0)#2,571
47. 54175 117.0 48.0 (+69.0)#47 48.0 (+69.0)#2,661
48. 54540 117.0 48.0 (+69.0)#48 48.0 (+69.0)#2,662
49. 54865 117.0 48.0 (+69.0)#49 48.0 (+69.0)#2,664
50. 54534 116.0 48.0 (+68.0)#50 48.0 (+68.0)#2,681
51. 53911 115.0 48.0 (+67.0)#51 48.0 (+67.0)#2,735
52. 54450 115.0 48.0 (+67.0)#52 48.0 (+67.0)#2,744
53. 54454 112.0 48.0 (+64.0)#53 48.0 (+64.0)#2,855
54. 53968 111.0 48.0 (+63.0)#54 48.0 (+63.0)#2,896
55. 54541 111.0 48.0 (+63.0)#55 48.0 (+63.0)#2,905
56. 53817 111.0 48.0 (+63.0)#56 48.0 (+63.0)#2,935
57. 53122 110.0 48.0 (+62.0)#57 48.0 (+62.0)#2,954
58. 53510 110.0 48.0 (+62.0)#58 48.0 (+62.0)#2,976
59. 54962 110.0 48.0 (+62.0)#59 48.0 (+62.0)#2,982
60. 54111 109.0 48.0 (+61.0)#60 48.0 (+61.0)#3,019
61. 54234 108.0 48.0 (+60.0)#61 48.0 (+60.0)#3,071
62. 54806 107.0 48.0 (+59.0)#62 48.0 (+59.0)#3,097
63. 54814 107.0 48.0 (+59.0)#63 48.0 (+59.0)#3,116
64. 53923 107.0 48.0 (+59.0)#64 48.0 (+59.0)#3,119
65. 53016 107.0 48.0 (+59.0)#65 48.0 (+59.0)#3,137
66. 54169 106.0 48.0 (+58.0)#66 48.0 (+58.0)#3,158
67. 54670 106.0 48.0 (+58.0)#67 48.0 (+58.0)#3,166
68. 54653 105.0 48.0 (+57.0)#68 48.0 (+57.0)#3,231
69. 53502 104.0 48.0 (+56.0)#69 48.0 (+56.0)#3,278
70. 53827 103.0 48.0 (+55.0)#70 48.0 (+55.0)#3,362
71. 53088 103.0 48.0 (+55.0)#71 48.0 (+55.0)#3,366
72. 53183 102.0 48.0 (+54.0)#72 48.0 (+54.0)#3,400
73. 53156 101.0 48.0 (+53.0)#73 48.0 (+53.0)#3,460
74. 54766 100.0 48.0 (+52.0)#74 48.0 (+52.0)#3,521
75. 54970 98.0 48.0 (+50.0)#75 48.0 (+50.0)#3,648
76. 54562 98.0 48.0 (+50.0)#76 48.0 (+50.0)#3,661
77. 54102 98.0 48.0 (+50.0)#77 48.0 (+50.0)#3,676
78. 54426 96.0 48.0 (+48.0)#78 48.0 (+48.0)#3,789
79. 54984 96.0 48.0 (+48.0)#79 48.0 (+48.0)#3,795
80. 53092 95.0 48.0 (+47.0)#80 48.0 (+47.0)#3,834
81. 53032 94.0 48.0 (+46.0)#81 48.0 (+46.0)#3,912
82. 54435 94.0 48.0 (+46.0)#82 48.0 (+46.0)#3,932
83. 54628 94.0 48.0 (+46.0)#83 48.0 (+46.0)#3,943
84. 53541 94.0 48.0 (+46.0)#84 48.0 (+46.0)#3,946
85. 54952 92.0 48.0 (+44.0)#85 48.0 (+44.0)#4,037
86. 54003 92.0 48.0 (+44.0)#86 48.0 (+44.0)#4,089
87. 54412 91.0 48.0 (+43.0)#87 48.0 (+43.0)#4,158
88. 54494 90.0 48.0 (+42.0)#88 48.0 (+42.0)#4,214
89. 53143 90.0 48.0 (+42.0)#89 48.0 (+42.0)#4,216
90. 54227 90.0 48.0 (+42.0)#90 48.0 (+42.0)#4,268
91. 53168 89.0 48.0 (+41.0)#91 48.0 (+41.0)#4,325
92. 54469 89.0 48.0 (+41.0)#92 48.0 (+41.0)#4,364
93. 54631 89.0 48.0 (+41.0)#93 48.0 (+41.0)#4,365
94. 54864 89.0 48.0 (+41.0)#94 48.0 (+41.0)#4,372
95. 53002 88.0 48.0 (+40.0)#95 48.0 (+40.0)#4,452
96. 54205 88.0 48.0 (+40.0)#96 48.0 (+40.0)#4,454
97. 54023 87.0 48.0 (+39.0)#97 48.0 (+39.0)#4,538
98. 53515 87.0 48.0 (+39.0)#98 48.0 (+39.0)#4,551
99. 54471 87.0 48.0 (+39.0)#99 48.0 (+39.0)#4,564
100. 53566 86.0 48.0 (+38.0)#100 48.0 (+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.