Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin

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Highest Poverty | Girls 0-16
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 Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin

Zip Code Child Poverty (Girls) vs State vs National
1.5323384.5%13.5%(+71.0)#117.0%(+67.5)#504
2.5421578.6%13.5%(+65.1)#217.0%(+61.6)#625
3.5483278.3%13.5%(+64.8)#317.0%(+61.3)#630
4.5493373.1%13.5%(+59.6)#417.0%(+56.1)#758
5.5394771.2%13.5%(+57.7)#517.0%(+54.2)#808
6.5443063.6%13.5%(+50.2)#617.0%(+46.7)#1,092
7.5486162.5%13.5%(+49.0)#717.0%(+45.5)#1,149
8.5423460.8%13.5%(+47.4)#817.0%(+43.8)#1,220
9.5358059.4%13.5%(+46.0)#917.0%(+42.4)#1,303
10.5320658.0%13.5%(+44.5)#1017.0%(+41.0)#1,408
11.5463453.0%13.5%(+39.5)#1117.0%(+36.0)#1,770
12.5452452.8%13.5%(+39.3)#1217.0%(+35.8)#1,792
13.5320552.2%13.5%(+38.8)#1317.0%(+35.3)#1,847
14.5321851.1%13.5%(+37.7)#1417.0%(+34.1)#1,960
15.5393150.0%13.5%(+36.5)#1517.0%(+33.0)#2,067
16.5415250.0%13.5%(+36.5)#1617.0%(+33.0)#2,080
17.5465547.0%13.5%(+33.5)#1717.0%(+30.0)#2,395
18.5351846.4%13.5%(+33.0)#1817.0%(+29.5)#2,449
19.5474644.4%13.5%(+31.0)#1917.0%(+27.5)#2,670
20.5320843.5%13.5%(+30.0)#2017.0%(+26.5)#2,813
21.5392643.5%13.5%(+30.0)#2117.0%(+26.5)#2,814
22.5307843.5%13.5%(+30.0)#2217.0%(+26.5)#2,815
23.5382743.5%13.5%(+30.0)#2317.0%(+26.5)#2,820
24.5445043.3%13.5%(+29.9)#2417.0%(+26.4)#2,841
25.5481443.1%13.5%(+29.6)#2517.0%(+26.1)#2,869
26.5350642.6%13.5%(+29.2)#2617.0%(+25.6)#2,941
27.5484541.7%13.5%(+28.2)#2717.0%(+24.7)#3,089
28.5393641.3%13.5%(+27.8)#2817.0%(+24.3)#3,143
29.5484241.0%13.5%(+27.6)#2917.0%(+24.0)#3,199
30.5462140.8%13.5%(+27.3)#3017.0%(+23.8)#3,232
31.5314040.5%13.5%(+27.1)#3117.0%(+23.6)#3,277
32.5415640.4%13.5%(+27.0)#3217.0%(+23.4)#3,295
33.5415039.5%13.5%(+26.0)#3317.0%(+22.5)#3,465
34.5340339.0%13.5%(+25.5)#3417.0%(+22.0)#3,550
35.5393438.6%13.5%(+25.1)#3517.0%(+21.6)#3,615
36.5321038.2%13.5%(+24.7)#3617.0%(+21.2)#3,685
37.5413537.9%13.5%(+24.5)#3717.0%(+21.0)#3,740
38.5392837.5%13.5%(+24.0)#3817.0%(+20.5)#3,835
39.5320937.4%13.5%(+23.9)#3917.0%(+20.4)#3,858
40.5475936.4%13.5%(+22.9)#4017.0%(+19.4)#4,063
41.5320436.2%13.5%(+22.8)#4117.0%(+19.3)#4,097
42.5443635.9%13.5%(+22.4)#4217.0%(+18.9)#4,178
43.5456635.8%13.5%(+22.4)#4317.0%(+18.8)#4,201
44.5420935.2%13.5%(+21.8)#4417.0%(+18.3)#4,334
45.5486735.2%13.5%(+21.7)#4517.0%(+18.2)#4,343
46.5442834.6%13.5%(+21.1)#4617.0%(+17.6)#4,467
47.5487534.5%13.5%(+21.0)#4717.0%(+17.5)#4,492
48.5321233.7%13.5%(+20.3)#4817.0%(+16.8)#4,692
49.5466433.5%13.5%(+20.0)#4917.0%(+16.5)#4,748
50.5463933.1%13.5%(+19.6)#5017.0%(+16.1)#4,887
51.5395233.0%13.5%(+19.5)#5117.0%(+16.0)#4,905
52.5394633.0%13.5%(+19.5)#5217.0%(+16.0)#4,906
53.5394432.9%13.5%(+19.4)#5317.0%(+15.9)#4,935
54.5454132.1%13.5%(+18.7)#5417.0%(+15.2)#5,123
55.5322431.9%13.5%(+18.4)#5517.0%(+14.9)#5,206
56.5413831.8%13.5%(+18.4)#5617.0%(+14.8)#5,232
57.5430331.7%13.5%(+18.2)#5717.0%(+14.7)#5,259
58.5371531.4%13.5%(+17.9)#5817.0%(+14.4)#5,359
59.5352631.3%13.5%(+17.9)#5917.0%(+14.4)#5,363
60.5455931.1%13.5%(+17.7)#6017.0%(+14.2)#5,410
61.5465930.9%13.5%(+17.5)#6117.0%(+13.9)#5,478
62.5464830.4%13.5%(+16.9)#6217.0%(+13.4)#5,632
63.5322530.3%13.5%(+16.9)#6317.0%(+13.4)#5,642
64.5358129.2%13.5%(+15.8)#6417.0%(+12.3)#5,967
65.5321629.2%13.5%(+15.7)#6517.0%(+12.2)#5,985
66.5495029.2%13.5%(+15.7)#6617.0%(+12.2)#5,991
67.5359429.0%13.5%(+15.6)#6717.0%(+12.0)#6,054
68.5440528.9%13.5%(+15.4)#6817.0%(+11.9)#6,093
69.5482928.5%13.5%(+15.1)#6917.0%(+11.6)#6,210
70.5465228.5%13.5%(+15.0)#7017.0%(+11.5)#6,216
71.5485928.5%13.5%(+15.0)#7117.0%(+11.5)#6,222
72.5476628.4%13.5%(+15.0)#7217.0%(+11.5)#6,237
73.5475728.4%13.5%(+14.9)#7317.0%(+11.4)#6,256
74.5321528.2%13.5%(+14.7)#7417.0%(+11.2)#6,333
75.5461827.6%13.5%(+14.1)#7517.0%(+10.6)#6,526
76.5370427.5%13.5%(+14.1)#7617.0%(+10.5)#6,554
77.5453027.5%13.5%(+14.0)#7717.0%(+10.5)#6,565
78.5340427.5%13.5%(+14.0)#7817.0%(+10.5)#6,578
79.5371327.3%13.5%(+13.8)#7917.0%(+10.3)#6,643
80.5462326.9%13.5%(+13.5)#8017.0%(+9.95)#6,775
81.5354126.9%13.5%(+13.5)#8117.0%(+9.95)#6,778
82.5446526.9%13.5%(+13.5)#8217.0%(+9.95)#6,779
83.5485826.8%13.5%(+13.4)#8317.0%(+9.85)#6,815
84.5472726.4%13.5%(+12.9)#8417.0%(+9.38)#6,980
85.5474126.0%13.5%(+12.5)#8517.0%(+9.00)#7,133
86.5340625.8%13.5%(+12.4)#8617.0%(+8.87)#7,172
87.5322325.4%13.5%(+11.9)#8717.0%(+8.40)#7,380
88.5355425.4%13.5%(+11.9)#8817.0%(+8.40)#7,383
89.5430225.3%13.5%(+11.8)#8917.0%(+8.33)#7,409
90.5483725.1%13.5%(+11.6)#9017.0%(+8.13)#7,478
91.5480525.0%13.5%(+11.5)#9117.0%(+8.02)#7,524
92.5462525.0%13.5%(+11.5)#9217.0%(+8.02)#7,570
93.5314424.8%13.5%(+11.4)#9317.0%(+7.84)#7,636
94.5355024.8%13.5%(+11.3)#9417.0%(+7.83)#7,641
95.5392424.8%13.5%(+11.3)#9517.0%(+7.78)#7,661
96.5467024.7%13.5%(+11.2)#9617.0%(+7.70)#7,684
97.5430424.6%13.5%(+11.2)#9717.0%(+7.67)#7,701
98.5396124.6%13.5%(+11.1)#9817.0%(+7.61)#7,712
99.5417424.2%13.5%(+10.8)#9917.0%(+7.27)#7,859
100.5489324.2%13.5%(+10.7)#10017.0%(+7.23)#7,876

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin are:
#1
84.5%
#2
78.6%
#3
78.3%
#4
73.1%
#5
71.2%
#6
63.6%
#7
62.5%
#8
60.8%
#9
59.4%
#10
58.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin?
53233 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Wisconsin with 84.5%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Wisconsin?
Poverty Level Among Girls Under the Age of 16 in Wisconsin is 13.5%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.