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

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Lowest 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 Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota

15.0%
0.0%
Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota Map

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

Zip Code Child Poverty (Girls) vs State vs National
1. 57375 1.1% 15.7% (-14.6)#1 17.0% (-15.9)#386
2. 57030 1.2% 15.7% (-14.5)#2 17.0% (-15.8)#436
3. 57033 1.2% 15.7% (-14.5)#3 17.0% (-15.8)#477
4. 57384 1.2% 15.7% (-14.4)#4 17.0% (-15.7)#490
5. 57077 1.3% 15.7% (-14.4)#5 17.0% (-15.7)#517
6. 57754 1.3% 15.7% (-14.4)#6 17.0% (-15.7)#538
7. 57005 1.6% 15.7% (-14.1)#7 17.0% (-15.4)#726
8. 57063 1.7% 15.7% (-14.0)#8 17.0% (-15.3)#798
9. 57053 1.7% 15.7% (-13.9)#9 17.0% (-15.3)#857
10. 57068 1.7% 15.7% (-13.9)#10 17.0% (-15.2)#875
11. 57532 1.7% 15.7% (-13.9)#11 17.0% (-15.2)#878
12. 57523 1.8% 15.7% (-13.9)#12 17.0% (-15.2)#925
13. 57255 1.8% 15.7% (-13.8)#13 17.0% (-15.1)#960
14. 57349 1.9% 15.7% (-13.7)#14 17.0% (-15.0)#1,038
15. 57242 2.2% 15.7% (-13.5)#15 17.0% (-14.8)#1,210
16. 57329 2.2% 15.7% (-13.5)#16 17.0% (-14.8)#1,211
17. 57533 2.2% 15.7% (-13.5)#17 17.0% (-14.8)#1,242
18. 57793 2.3% 15.7% (-13.4)#18 17.0% (-14.7)#1,332
19. 57785 2.4% 15.7% (-13.2)#19 17.0% (-14.5)#1,433
20. 57368 2.6% 15.7% (-13.1)#20 17.0% (-14.4)#1,586
21. 57213 2.6% 15.7% (-13.0)#21 17.0% (-14.3)#1,607
22. 57003 2.6% 15.7% (-13.0)#22 17.0% (-14.3)#1,611
23. 57366 2.7% 15.7% (-13.0)#23 17.0% (-14.3)#1,617
24. 57717 2.8% 15.7% (-12.8)#24 17.0% (-14.1)#1,778
25. 57223 3.0% 15.7% (-12.7)#25 17.0% (-14.0)#1,897
26. 57004 3.2% 15.7% (-12.5)#26 17.0% (-13.8)#2,072
27. 57620 3.2% 15.7% (-12.4)#27 17.0% (-13.8)#2,120
28. 57249 3.3% 15.7% (-12.3)#28 17.0% (-13.6)#2,202
29. 57045 3.5% 15.7% (-12.2)#29 17.0% (-13.5)#2,334
30. 57719 3.6% 15.7% (-12.1)#30 17.0% (-13.4)#2,386
31. 57110 3.6% 15.7% (-12.0)#31 17.0% (-13.3)#2,455
32. 57718 3.7% 15.7% (-12.0)#32 17.0% (-13.3)#2,500
33. 57259 3.7% 15.7% (-12.0)#33 17.0% (-13.3)#2,525
34. 57641 3.8% 15.7% (-11.8)#34 17.0% (-13.1)#2,660
35. 57702 3.9% 15.7% (-11.7)#35 17.0% (-13.0)#2,726
36. 57256 4.0% 15.7% (-11.7)#36 17.0% (-13.0)#2,797
37. 57024 4.3% 15.7% (-11.3)#37 17.0% (-12.6)#3,099
38. 57350 4.7% 15.7% (-11.0)#38 17.0% (-12.3)#3,388
39. 57059 5.0% 15.7% (-10.7)#39 17.0% (-12.0)#3,681
40. 57276 5.1% 15.7% (-10.5)#40 17.0% (-11.8)#3,795
41. 57319 5.3% 15.7% (-10.4)#41 17.0% (-11.7)#3,928
42. 57237 5.4% 15.7% (-10.3)#42 17.0% (-11.6)#4,069
43. 57383 5.6% 15.7% (-10.1)#43 17.0% (-11.4)#4,201
44. 57106 6.0% 15.7% (-9.63)#44 17.0% (-10.9)#4,606
45. 57105 6.1% 15.7% (-9.60)#45 17.0% (-10.9)#4,637
46. 57013 6.2% 15.7% (-9.50)#46 17.0% (-10.8)#4,718
47. 57036 6.3% 15.7% (-9.32)#47 17.0% (-10.6)#4,871
48. 57038 6.4% 15.7% (-9.26)#48 17.0% (-10.6)#4,915
49. 57066 7.0% 15.7% (-8.69)#49 17.0% (-10.00)#5,372
50. 57345 7.1% 15.7% (-8.60)#50 17.0% (-9.91)#5,454
51. 57248 7.1% 15.7% (-8.58)#51 17.0% (-9.89)#5,467
52. 57252 7.3% 15.7% (-8.37)#52 17.0% (-9.68)#5,649
53. 57058 7.4% 15.7% (-8.31)#53 17.0% (-9.61)#5,691
54. 57474 7.4% 15.7% (-8.26)#54 17.0% (-9.57)#5,740
55. 57226 7.5% 15.7% (-8.17)#55 17.0% (-9.48)#5,825
56. 57564 7.5% 15.7% (-8.17)#56 17.0% (-9.48)#5,829
57. 57451 7.6% 15.7% (-8.09)#57 17.0% (-9.40)#5,905
58. 57363 7.6% 15.7% (-8.04)#58 17.0% (-9.35)#5,959
59. 57370 7.7% 15.7% (-7.98)#59 17.0% (-9.28)#6,027
60. 57645 7.7% 15.7% (-7.98)#60 17.0% (-9.28)#6,049
61. 57441 7.8% 15.7% (-7.83)#61 17.0% (-9.13)#6,175
62. 57626 8.0% 15.7% (-7.71)#62 17.0% (-9.02)#6,245
63. 57047 8.0% 15.7% (-7.67)#63 17.0% (-8.98)#6,288
64. 57108 8.2% 15.7% (-7.49)#64 17.0% (-8.80)#6,415
65. 57078 8.2% 15.7% (-7.43)#65 17.0% (-8.74)#6,459
66. 57212 8.3% 15.7% (-7.37)#66 17.0% (-8.68)#6,506
67. 57468 8.3% 15.7% (-7.34)#67 17.0% (-8.64)#6,552
68. 57438 8.7% 15.7% (-6.97)#68 17.0% (-8.28)#6,811
69. 57022 8.8% 15.7% (-6.91)#69 17.0% (-8.21)#6,865
70. 57064 9.2% 15.7% (-6.42)#70 17.0% (-7.73)#7,254
71. 57769 9.3% 15.7% (-6.42)#71 17.0% (-7.73)#7,256
72. 57227 9.4% 15.7% (-6.23)#72 17.0% (-7.54)#7,409
73. 57348 9.6% 15.7% (-6.07)#73 17.0% (-7.38)#7,537
74. 57006 9.7% 15.7% (-5.97)#74 17.0% (-7.27)#7,616
75. 57552 9.8% 15.7% (-5.91)#75 17.0% (-7.22)#7,672
76. 57428 9.8% 15.7% (-5.87)#76 17.0% (-7.17)#7,720
77. 57432 10.0% 15.7% (-5.67)#77 17.0% (-6.98)#7,888
78. 57359 10.2% 15.7% (-5.46)#78 17.0% (-6.77)#8,014
79. 57646 10.3% 15.7% (-5.41)#79 17.0% (-6.72)#8,066
80. 57732 10.3% 15.7% (-5.35)#80 17.0% (-6.66)#8,109
81. 57788 10.5% 15.7% (-5.14)#81 17.0% (-6.45)#8,253
82. 57039 10.7% 15.7% (-4.98)#82 17.0% (-6.29)#8,367
83. 57376 10.7% 15.7% (-4.95)#83 17.0% (-6.26)#8,387
84. 57501 10.9% 15.7% (-4.79)#84 17.0% (-6.10)#8,522
85. 57446 10.9% 15.7% (-4.78)#85 17.0% (-6.09)#8,524
86. 57015 11.0% 15.7% (-4.68)#86 17.0% (-5.99)#8,585
87. 57430 11.7% 15.7% (-3.99)#87 17.0% (-5.30)#9,091
88. 57037 12.3% 15.7% (-3.37)#88 17.0% (-4.68)#9,528
89. 57762 12.3% 15.7% (-3.34)#89 17.0% (-4.65)#9,553
90. 57274 12.4% 15.7% (-3.29)#90 17.0% (-4.60)#9,586
91. 57436 12.5% 15.7% (-3.17)#91 17.0% (-4.48)#9,670
92. 57341 12.5% 15.7% (-3.17)#92 17.0% (-4.48)#9,683
93. 57042 12.5% 15.7% (-3.14)#93 17.0% (-4.44)#9,691
94. 57216 12.9% 15.7% (-2.80)#94 17.0% (-4.10)#9,910
95. 57751 13.0% 15.7% (-2.71)#95 17.0% (-4.01)#9,979
96. 57783 13.1% 15.7% (-2.53)#96 17.0% (-3.83)#10,099
97. 57043 13.2% 15.7% (-2.51)#97 17.0% (-3.82)#10,113
98. 57730 13.3% 15.7% (-2.34)#98 17.0% (-3.64)#10,231
99. 57790 13.5% 15.7% (-2.16)#99 17.0% (-3.46)#10,361
100. 57107 13.7% 15.7% (-2.00)#100 17.0% (-3.31)#10,457

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota are:
#1
1.1%
#2
1.2%
#3
1.2%
#4
1.2%
#5
1.3%
#6
1.3%
#7
1.6%
#8
1.7%
#9
1.7%
#10
1.7%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota?
57375 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Dakota with 1.1%.
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%.