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

RELATED REPORTS & OPTIONS

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
Michigan
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Child Poverty (Girls) vs State vs National
1.48502100.0%18.3%(+81.7)#117.0%(+83.0)#20
2.48724100.0%18.3%(+81.7)#217.0%(+83.0)#60
3.49768100.0%18.3%(+81.7)#317.0%(+83.0)#141
4.49910100.0%18.3%(+81.7)#417.0%(+83.0)#241
5.48852100.0%18.3%(+81.7)#517.0%(+83.0)#302
6.49961100.0%18.3%(+81.7)#617.0%(+83.0)#317
7.49289100.0%18.3%(+81.7)#717.0%(+83.0)#361
8.4964282.0%18.3%(+63.7)#817.0%(+65.1)#549
9.4873777.4%18.3%(+59.0)#917.0%(+60.4)#648
10.4996775.0%18.3%(+56.7)#1017.0%(+58.0)#701
11.4893374.6%18.3%(+56.3)#1117.0%(+57.6)#714
12.4996070.6%18.3%(+52.3)#1217.0%(+53.6)#824
13.4974370.5%18.3%(+52.2)#1317.0%(+53.6)#826
14.4820167.3%18.3%(+48.9)#1417.0%(+50.3)#932
15.4889666.7%18.3%(+48.3)#1517.0%(+49.7)#964
16.4904366.5%18.3%(+48.2)#1617.0%(+49.6)#977
17.4923865.9%18.3%(+47.6)#1717.0%(+48.9)#993
18.4944064.9%18.3%(+46.6)#1817.0%(+47.9)#1,034
19.4872164.3%18.3%(+46.0)#1917.0%(+47.3)#1,061
20.4982064.3%18.3%(+46.0)#2017.0%(+47.3)#1,065
21.4900763.9%18.3%(+45.6)#2117.0%(+46.9)#1,079
22.4990363.6%18.3%(+45.3)#2217.0%(+46.7)#1,091
23.4850562.1%18.3%(+43.8)#2317.0%(+45.1)#1,159
24.4995860.3%18.3%(+42.0)#2417.0%(+43.3)#1,248
25.4802860.0%18.3%(+41.7)#2517.0%(+43.0)#1,259
26.4978859.8%18.3%(+41.4)#2617.0%(+42.8)#1,280
27.4971859.6%18.3%(+41.3)#2717.0%(+42.6)#1,293
28.4821559.1%18.3%(+40.8)#2817.0%(+42.1)#1,327
29.4885359.1%18.3%(+40.8)#2917.0%(+42.1)#1,330
30.4823858.0%18.3%(+39.6)#3017.0%(+41.0)#1,410
31.4822857.6%18.3%(+39.3)#3117.0%(+40.6)#1,429
32.4927457.5%18.3%(+39.2)#3217.0%(+40.5)#1,440
33.4875657.0%18.3%(+38.7)#3317.0%(+40.0)#1,479
34.4983656.9%18.3%(+38.6)#3417.0%(+39.9)#1,485
35.4846956.8%18.3%(+38.5)#3517.0%(+39.8)#1,495
36.4820355.6%18.3%(+37.3)#3617.0%(+38.6)#1,575
37.4820454.4%18.3%(+36.1)#3717.0%(+37.4)#1,663
38.4821854.3%18.3%(+36.0)#3817.0%(+37.4)#1,670
39.4812253.8%18.3%(+35.5)#3917.0%(+36.9)#1,709
40.4973353.3%18.3%(+35.0)#4017.0%(+36.4)#1,737
41.4822452.6%18.3%(+34.3)#4117.0%(+35.7)#1,804
42.4821352.5%18.3%(+34.2)#4217.0%(+35.5)#1,817
43.4986152.4%18.3%(+34.1)#4317.0%(+35.4)#1,833
44.4966752.1%18.3%(+33.8)#4417.0%(+35.1)#1,868
45.4845051.7%18.3%(+33.4)#4517.0%(+34.7)#1,905
46.4902251.4%18.3%(+33.0)#4617.0%(+34.4)#1,932
47.4823451.1%18.3%(+32.7)#4717.0%(+34.1)#1,970
48.4842651.0%18.3%(+32.6)#4817.0%(+34.0)#1,979
49.4820750.2%18.3%(+31.9)#4917.0%(+33.3)#2,027
50.4821050.1%18.3%(+31.8)#5017.0%(+33.1)#2,032
51.4980650.0%18.3%(+31.7)#5117.0%(+33.0)#2,052
52.4961350.0%18.3%(+31.7)#5217.0%(+33.0)#2,053
53.4945049.6%18.3%(+31.3)#5317.0%(+32.6)#2,131
54.4860148.8%18.3%(+30.5)#5417.0%(+31.9)#2,199
55.4852947.8%18.3%(+29.5)#5517.0%(+30.8)#2,300
56.4840147.6%18.3%(+29.3)#5617.0%(+30.6)#2,317
57.4876547.6%18.3%(+29.3)#5717.0%(+30.6)#2,318
58.4821247.6%18.3%(+29.3)#5817.0%(+30.6)#2,325
59.4821147.4%18.3%(+29.0)#5917.0%(+30.4)#2,349
60.4889147.2%18.3%(+28.9)#6017.0%(+30.2)#2,365
61.4820947.0%18.3%(+28.7)#6117.0%(+30.0)#2,389
62.4865146.9%18.3%(+28.6)#6217.0%(+29.9)#2,397
63.4823546.7%18.3%(+28.4)#6317.0%(+29.7)#2,419
64.4994546.7%18.3%(+28.3)#6417.0%(+29.7)#2,421
65.4860246.4%18.3%(+28.1)#6517.0%(+29.4)#2,455
66.4862245.9%18.3%(+27.6)#6617.0%(+29.0)#2,496
67.4820245.8%18.3%(+27.5)#6717.0%(+28.8)#2,516
68.4822745.7%18.3%(+27.4)#6817.0%(+28.7)#2,523
69.4821445.5%18.3%(+27.2)#6917.0%(+28.6)#2,540
70.4865645.1%18.3%(+26.7)#7017.0%(+28.1)#2,597
71.4834244.9%18.3%(+26.6)#7117.0%(+28.0)#2,605
72.4906644.8%18.3%(+26.5)#7217.0%(+27.9)#2,622
73.4860444.3%18.3%(+26.0)#7317.0%(+27.4)#2,690
74.4850444.3%18.3%(+26.0)#7417.0%(+27.3)#2,696
75.4812044.1%18.3%(+25.8)#7517.0%(+27.1)#2,717
76.4925544.1%18.3%(+25.8)#7617.0%(+27.1)#2,720
77.4850343.8%18.3%(+25.5)#7717.0%(+26.8)#2,764
78.4850743.7%18.3%(+25.3)#7817.0%(+26.7)#2,785
79.4814143.3%18.3%(+25.0)#7917.0%(+26.3)#2,844
80.4931242.9%18.3%(+24.5)#8017.0%(+25.9)#2,914
81.4812642.8%18.3%(+24.5)#8117.0%(+25.8)#2,921
82.4850942.5%18.3%(+24.2)#8217.0%(+25.5)#2,961
83.4863241.7%18.3%(+23.4)#8317.0%(+24.8)#3,074
84.4923241.7%18.3%(+23.3)#8417.0%(+24.7)#3,082
85.4930941.4%18.3%(+23.1)#8517.0%(+24.5)#3,118
86.4996841.4%18.3%(+23.1)#8617.0%(+24.4)#3,126
87.4875441.0%18.3%(+22.7)#8717.0%(+24.0)#3,201
88.4963840.2%18.3%(+21.9)#8817.0%(+23.2)#3,327
89.4978140.2%18.3%(+21.9)#8917.0%(+23.2)#3,338
90.4870339.8%18.3%(+21.5)#9017.0%(+22.8)#3,404
91.4964539.7%18.3%(+21.4)#9117.0%(+22.8)#3,424
92.4820539.5%18.3%(+21.2)#9217.0%(+22.5)#3,467
93.4970939.4%18.3%(+21.0)#9317.0%(+22.4)#3,486
94.4820839.2%18.3%(+20.8)#9417.0%(+22.2)#3,512
95.4961839.1%18.3%(+20.8)#9517.0%(+22.2)#3,521
96.4820639.1%18.3%(+20.7)#9617.0%(+22.1)#3,536
97.4890639.0%18.3%(+20.7)#9717.0%(+22.0)#3,543
98.4800638.9%18.3%(+20.6)#9817.0%(+22.0)#3,555
99.4834038.6%18.3%(+20.3)#9917.0%(+21.6)#3,610
100.4982538.5%18.3%(+20.1)#10017.0%(+21.5)#3,645

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Michigan?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Michigan are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
82.0%
#9
77.4%
#10
75.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Michigan?
48502 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Michigan with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Michigan?
Poverty Level Among Girls Under the Age of 16 in Michigan is 18.3%.
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%.