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

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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
South Dakota
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Child Poverty (Girls) vs State vs National
1.57772100.0%15.7%(+84.3)#117.0%(+83.0)#17
2.57794100.0%15.7%(+84.3)#217.0%(+83.0)#51
3.57756100.0%15.7%(+84.3)#317.0%(+83.0)#74
4.57644100.0%15.7%(+84.3)#417.0%(+83.0)#224
5.57621100.0%15.7%(+84.3)#517.0%(+83.0)#230
6.57725100.0%15.7%(+84.3)#617.0%(+83.0)#231
7.57750100.0%15.7%(+84.3)#717.0%(+83.0)#270
8.57361100.0%15.7%(+84.3)#817.0%(+83.0)#274
9.57574100.0%15.7%(+84.3)#917.0%(+83.0)#343
10.5763994.5%15.7%(+78.9)#1017.0%(+77.5)#413
11.5762288.6%15.7%(+72.9)#1117.0%(+71.6)#449
12.5756087.3%15.7%(+71.6)#1217.0%(+70.3)#465
13.5756683.1%15.7%(+67.5)#1317.0%(+66.2)#529
14.5765882.8%15.7%(+67.1)#1417.0%(+65.8)#534
15.5725882.8%15.7%(+67.1)#1517.0%(+65.8)#535
16.5747382.1%15.7%(+66.4)#1617.0%(+65.1)#548
17.5752882.0%15.7%(+66.3)#1717.0%(+65.0)#550
18.5747080.0%15.7%(+64.3)#1817.0%(+63.0)#594
19.5778778.0%15.7%(+62.3)#1917.0%(+61.0)#637
20.5757274.8%15.7%(+59.1)#2017.0%(+57.8)#708
21.5763474.0%15.7%(+58.3)#2117.0%(+57.0)#726
22.5775272.4%15.7%(+56.7)#2217.0%(+55.4)#777
23.5774868.8%15.7%(+53.1)#2317.0%(+51.8)#892
24.5771465.7%15.7%(+50.1)#2417.0%(+48.8)#997
25.5746664.3%15.7%(+48.6)#2517.0%(+47.3)#1,066
26.5733962.5%15.7%(+46.8)#2617.0%(+45.5)#1,138
27.5747662.5%15.7%(+46.8)#2717.0%(+45.5)#1,146
28.5757059.9%15.7%(+44.2)#2817.0%(+42.9)#1,276
29.5731559.1%15.7%(+43.4)#2917.0%(+42.1)#1,333
30.5757958.1%15.7%(+42.4)#3017.0%(+41.1)#1,394
31.5736958.1%15.7%(+42.4)#3117.0%(+41.1)#1,397
32.5755557.4%15.7%(+41.7)#3217.0%(+40.4)#1,447
33.5752156.8%15.7%(+41.1)#3317.0%(+39.8)#1,498
34.5754854.8%15.7%(+39.1)#3417.0%(+37.8)#1,637
35.5758054.7%15.7%(+39.0)#3517.0%(+37.7)#1,641
36.5764253.5%15.7%(+37.9)#3617.0%(+36.6)#1,726
37.5754352.0%15.7%(+36.3)#3717.0%(+35.0)#1,880
38.5776450.3%15.7%(+34.7)#3817.0%(+33.4)#2,020
39.5743550.0%15.7%(+34.3)#3917.0%(+33.0)#2,074
40.5773547.6%15.7%(+31.9)#4017.0%(+30.6)#2,324
41.5735646.7%15.7%(+31.0)#4117.0%(+29.7)#2,423
42.5774445.8%15.7%(+30.1)#4217.0%(+28.8)#2,517
43.5754045.5%15.7%(+29.8)#4317.0%(+28.5)#2,557
44.5762544.8%15.7%(+29.2)#4417.0%(+27.9)#2,616
45.5725744.6%15.7%(+29.0)#4517.0%(+27.7)#2,645
46.5726244.4%15.7%(+28.7)#4617.0%(+27.4)#2,689
47.5721944.0%15.7%(+28.3)#4717.0%(+27.0)#2,733
48.5771643.8%15.7%(+28.1)#4817.0%(+26.8)#2,774
49.5757742.9%15.7%(+27.2)#4917.0%(+25.9)#2,893
50.5758542.9%15.7%(+27.2)#5017.0%(+25.9)#2,916
51.5724740.0%15.7%(+24.3)#5117.0%(+23.0)#3,384
52.5702638.5%15.7%(+22.9)#5217.0%(+21.6)#3,623
53.5738136.2%15.7%(+20.5)#5317.0%(+19.2)#4,108
54.5705734.8%15.7%(+19.1)#5417.0%(+17.8)#4,431
55.5777034.2%15.7%(+18.6)#5517.0%(+17.2)#4,564
56.5770134.2%15.7%(+18.5)#5617.0%(+17.2)#4,566
57.5731333.8%15.7%(+18.1)#5717.0%(+16.8)#4,678
58.5726033.3%15.7%(+17.7)#5817.0%(+16.4)#4,782
59.5776333.3%15.7%(+17.7)#5917.0%(+16.4)#4,804
60.5702933.0%15.7%(+17.4)#6017.0%(+16.1)#4,893
61.5762332.0%15.7%(+16.3)#6117.0%(+15.0)#5,185
62.5763831.5%15.7%(+15.8)#6217.0%(+14.5)#5,322
63.5731730.4%15.7%(+14.7)#6317.0%(+13.4)#5,634
64.5755130.2%15.7%(+14.6)#6417.0%(+13.3)#5,669
65.5707030.0%15.7%(+14.3)#6517.0%(+13.0)#5,743
66.5704629.2%15.7%(+13.5)#6617.0%(+12.2)#6,006
67.5724328.8%15.7%(+13.1)#6717.0%(+11.8)#6,118
68.5752227.3%15.7%(+11.6)#6817.0%(+10.3)#6,661
69.5734227.3%15.7%(+11.6)#6917.0%(+10.3)#6,663
70.5702527.1%15.7%(+11.4)#7017.0%(+10.1)#6,731
71.5701426.3%15.7%(+10.7)#7117.0%(+9.37)#6,982
72.5702825.7%15.7%(+10.0)#7217.0%(+8.70)#7,257
73.5765225.0%15.7%(+9.33)#7317.0%(+8.02)#7,557
74.5732424.5%15.7%(+8.82)#7417.0%(+7.51)#7,755
75.5727324.0%15.7%(+8.33)#7517.0%(+7.02)#7,945
76.5756723.6%15.7%(+7.97)#7617.0%(+6.66)#8,097
77.5733523.5%15.7%(+7.86)#7717.0%(+6.55)#8,157
78.5754123.1%15.7%(+7.41)#7817.0%(+6.10)#8,352
79.5733423.0%15.7%(+7.28)#7917.0%(+5.97)#8,409
80.5731222.2%15.7%(+6.55)#8017.0%(+5.25)#8,746
81.5710422.2%15.7%(+6.48)#8117.0%(+5.17)#8,792
82.5722122.1%15.7%(+6.47)#8217.0%(+5.17)#8,796
83.5755921.6%15.7%(+5.95)#8317.0%(+4.65)#9,043
84.5726321.5%15.7%(+5.85)#8417.0%(+4.54)#9,100
85.5765621.2%15.7%(+5.54)#8517.0%(+4.24)#9,257
86.5753821.1%15.7%(+5.38)#8617.0%(+4.08)#9,336
87.5770320.5%15.7%(+4.86)#8717.0%(+3.55)#9,587
88.5732520.1%15.7%(+4.41)#8817.0%(+3.10)#9,804
89.5726520.0%15.7%(+4.33)#8917.0%(+3.02)#9,892
90.5744219.6%15.7%(+3.91)#9017.0%(+2.60)#10,077
91.5760119.0%15.7%(+3.37)#9117.0%(+2.06)#10,345
92.5738518.9%15.7%(+3.25)#9217.0%(+1.94)#10,395
93.5774718.6%15.7%(+2.95)#9317.0%(+1.64)#10,579
94.5740118.4%15.7%(+2.71)#9417.0%(+1.40)#10,726
95.5727118.0%15.7%(+2.33)#9517.0%(+1.02)#10,935
96.5704918.0%15.7%(+2.30)#9617.0%(+0.989)#10,951
97.5726617.4%15.7%(+1.72)#9717.0%(+0.415)#11,266
98.5743717.1%15.7%(+1.40)#9817.0%(+0.097)#11,472
99.5733017.0%15.7%(+1.31)#9917.0%(+0.005)#11,534
100.5723116.9%15.7%(+1.28)#10017.0%(-0.027)#11,554

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Dakota?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Dakota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
94.5%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in South Dakota?
57772 has the Highest Child Poverty Level Among Girls Under the Age of 16 in South Dakota with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of South Dakota?
Poverty Level Among Girls Under the Age of 16 in South Dakota is 15.7%.
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%.