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

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
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. 57772 100.0% 15.7% (+84.3)#1 17.0% (+83.0)#17
2. 57794 100.0% 15.7% (+84.3)#2 17.0% (+83.0)#51
3. 57756 100.0% 15.7% (+84.3)#3 17.0% (+83.0)#74
4. 57644 100.0% 15.7% (+84.3)#4 17.0% (+83.0)#224
5. 57621 100.0% 15.7% (+84.3)#5 17.0% (+83.0)#230
6. 57725 100.0% 15.7% (+84.3)#6 17.0% (+83.0)#231
7. 57750 100.0% 15.7% (+84.3)#7 17.0% (+83.0)#270
8. 57361 100.0% 15.7% (+84.3)#8 17.0% (+83.0)#274
9. 57574 100.0% 15.7% (+84.3)#9 17.0% (+83.0)#343
10. 57639 94.5% 15.7% (+78.9)#10 17.0% (+77.5)#413
11. 57622 88.6% 15.7% (+72.9)#11 17.0% (+71.6)#449
12. 57560 87.3% 15.7% (+71.6)#12 17.0% (+70.3)#465
13. 57566 83.1% 15.7% (+67.5)#13 17.0% (+66.2)#529
14. 57658 82.8% 15.7% (+67.1)#14 17.0% (+65.8)#534
15. 57258 82.8% 15.7% (+67.1)#15 17.0% (+65.8)#535
16. 57473 82.1% 15.7% (+66.4)#16 17.0% (+65.1)#548
17. 57528 82.0% 15.7% (+66.3)#17 17.0% (+65.0)#550
18. 57470 80.0% 15.7% (+64.3)#18 17.0% (+63.0)#594
19. 57787 78.0% 15.7% (+62.3)#19 17.0% (+61.0)#637
20. 57572 74.8% 15.7% (+59.1)#20 17.0% (+57.8)#708
21. 57634 74.0% 15.7% (+58.3)#21 17.0% (+57.0)#726
22. 57752 72.4% 15.7% (+56.7)#22 17.0% (+55.4)#777
23. 57748 68.8% 15.7% (+53.1)#23 17.0% (+51.8)#892
24. 57714 65.7% 15.7% (+50.1)#24 17.0% (+48.8)#997
25. 57466 64.3% 15.7% (+48.6)#25 17.0% (+47.3)#1,066
26. 57339 62.5% 15.7% (+46.8)#26 17.0% (+45.5)#1,138
27. 57476 62.5% 15.7% (+46.8)#27 17.0% (+45.5)#1,146
28. 57570 59.9% 15.7% (+44.2)#28 17.0% (+42.9)#1,276
29. 57315 59.1% 15.7% (+43.4)#29 17.0% (+42.1)#1,333
30. 57579 58.1% 15.7% (+42.4)#30 17.0% (+41.1)#1,394
31. 57369 58.1% 15.7% (+42.4)#31 17.0% (+41.1)#1,397
32. 57555 57.4% 15.7% (+41.7)#32 17.0% (+40.4)#1,447
33. 57521 56.8% 15.7% (+41.1)#33 17.0% (+39.8)#1,498
34. 57548 54.8% 15.7% (+39.1)#34 17.0% (+37.8)#1,637
35. 57580 54.7% 15.7% (+39.0)#35 17.0% (+37.7)#1,641
36. 57642 53.5% 15.7% (+37.9)#36 17.0% (+36.6)#1,726
37. 57543 52.0% 15.7% (+36.3)#37 17.0% (+35.0)#1,880
38. 57764 50.3% 15.7% (+34.7)#38 17.0% (+33.4)#2,020
39. 57435 50.0% 15.7% (+34.3)#39 17.0% (+33.0)#2,074
40. 57735 47.6% 15.7% (+31.9)#40 17.0% (+30.6)#2,324
41. 57356 46.7% 15.7% (+31.0)#41 17.0% (+29.7)#2,423
42. 57744 45.8% 15.7% (+30.1)#42 17.0% (+28.8)#2,517
43. 57540 45.5% 15.7% (+29.8)#43 17.0% (+28.5)#2,557
44. 57625 44.8% 15.7% (+29.2)#44 17.0% (+27.9)#2,616
45. 57257 44.6% 15.7% (+29.0)#45 17.0% (+27.7)#2,645
46. 57262 44.4% 15.7% (+28.7)#46 17.0% (+27.4)#2,689
47. 57219 44.0% 15.7% (+28.3)#47 17.0% (+27.0)#2,733
48. 57716 43.8% 15.7% (+28.1)#48 17.0% (+26.8)#2,774
49. 57577 42.9% 15.7% (+27.2)#49 17.0% (+25.9)#2,893
50. 57585 42.9% 15.7% (+27.2)#50 17.0% (+25.9)#2,916
51. 57247 40.0% 15.7% (+24.3)#51 17.0% (+23.0)#3,384
52. 57026 38.5% 15.7% (+22.9)#52 17.0% (+21.6)#3,623
53. 57381 36.2% 15.7% (+20.5)#53 17.0% (+19.2)#4,108
54. 57057 34.8% 15.7% (+19.1)#54 17.0% (+17.8)#4,431
55. 57770 34.2% 15.7% (+18.6)#55 17.0% (+17.2)#4,564
56. 57701 34.2% 15.7% (+18.5)#56 17.0% (+17.2)#4,566
57. 57313 33.8% 15.7% (+18.1)#57 17.0% (+16.8)#4,678
58. 57260 33.3% 15.7% (+17.7)#58 17.0% (+16.4)#4,782
59. 57763 33.3% 15.7% (+17.7)#59 17.0% (+16.4)#4,804
60. 57029 33.0% 15.7% (+17.4)#60 17.0% (+16.1)#4,893
61. 57623 32.0% 15.7% (+16.3)#61 17.0% (+15.0)#5,185
62. 57638 31.5% 15.7% (+15.8)#62 17.0% (+14.5)#5,322
63. 57317 30.4% 15.7% (+14.7)#63 17.0% (+13.4)#5,634
64. 57551 30.2% 15.7% (+14.6)#64 17.0% (+13.3)#5,669
65. 57070 30.0% 15.7% (+14.3)#65 17.0% (+13.0)#5,743
66. 57046 29.2% 15.7% (+13.5)#66 17.0% (+12.2)#6,006
67. 57243 28.8% 15.7% (+13.1)#67 17.0% (+11.8)#6,118
68. 57522 27.3% 15.7% (+11.6)#68 17.0% (+10.3)#6,661
69. 57342 27.3% 15.7% (+11.6)#69 17.0% (+10.3)#6,663
70. 57025 27.1% 15.7% (+11.4)#70 17.0% (+10.1)#6,731
71. 57014 26.3% 15.7% (+10.7)#71 17.0% (+9.37)#6,982
72. 57028 25.7% 15.7% (+10.0)#72 17.0% (+8.70)#7,257
73. 57652 25.0% 15.7% (+9.33)#73 17.0% (+8.02)#7,557
74. 57324 24.5% 15.7% (+8.82)#74 17.0% (+7.51)#7,755
75. 57273 24.0% 15.7% (+8.33)#75 17.0% (+7.02)#7,945
76. 57567 23.6% 15.7% (+7.97)#76 17.0% (+6.66)#8,097
77. 57335 23.5% 15.7% (+7.86)#77 17.0% (+6.55)#8,157
78. 57541 23.1% 15.7% (+7.41)#78 17.0% (+6.10)#8,352
79. 57334 23.0% 15.7% (+7.28)#79 17.0% (+5.97)#8,409
80. 57312 22.2% 15.7% (+6.55)#80 17.0% (+5.25)#8,746
81. 57104 22.2% 15.7% (+6.48)#81 17.0% (+5.17)#8,792
82. 57221 22.1% 15.7% (+6.47)#82 17.0% (+5.17)#8,796
83. 57559 21.6% 15.7% (+5.95)#83 17.0% (+4.65)#9,043
84. 57263 21.5% 15.7% (+5.85)#84 17.0% (+4.54)#9,100
85. 57656 21.2% 15.7% (+5.54)#85 17.0% (+4.24)#9,257
86. 57538 21.1% 15.7% (+5.38)#86 17.0% (+4.08)#9,336
87. 57703 20.5% 15.7% (+4.86)#87 17.0% (+3.55)#9,587
88. 57325 20.1% 15.7% (+4.41)#88 17.0% (+3.10)#9,804
89. 57265 20.0% 15.7% (+4.33)#89 17.0% (+3.02)#9,892
90. 57442 19.6% 15.7% (+3.91)#90 17.0% (+2.60)#10,077
91. 57601 19.0% 15.7% (+3.37)#91 17.0% (+2.06)#10,345
92. 57385 18.9% 15.7% (+3.25)#92 17.0% (+1.94)#10,395
93. 57747 18.6% 15.7% (+2.95)#93 17.0% (+1.64)#10,579
94. 57401 18.4% 15.7% (+2.71)#94 17.0% (+1.40)#10,726
95. 57271 18.0% 15.7% (+2.33)#95 17.0% (+1.02)#10,935
96. 57049 18.0% 15.7% (+2.30)#96 17.0% (+0.989)#10,951
97. 57266 17.4% 15.7% (+1.72)#97 17.0% (+0.415)#11,266
98. 57437 17.1% 15.7% (+1.40)#98 17.0% (+0.097)#11,472
99. 57330 17.0% 15.7% (+1.31)#99 17.0% (+0.005)#11,534
100. 57231 16.9% 15.7% (+1.28)#100 17.0% (-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%.