Zip Codes with the Highest Poverty Level Among Single Females in South Dakota

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Highest Poverty | Single Female
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 Poverty Level Among Single Females in South Dakota

30.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Females in South Dakota Map

Zip Codes with the Highest Poverty Level Among Single Females in South Dakota

Zip Code Single Female Poverty vs State vs National
1. 57706 100.0% 28.6% (+71.4)#1 24.1% (+75.9)#14
2. 57772 100.0% 28.6% (+71.4)#2 24.1% (+75.9)#63
3. 57046 100.0% 28.6% (+71.4)#3 24.1% (+75.9)#211
4. 57756 100.0% 28.6% (+71.4)#4 24.1% (+75.9)#218
5. 57788 100.0% 28.6% (+71.4)#5 24.1% (+75.9)#220
6. 57552 100.0% 28.6% (+71.4)#6 24.1% (+75.9)#272
7. 57227 100.0% 28.6% (+71.4)#7 24.1% (+75.9)#291
8. 57213 100.0% 28.6% (+71.4)#8 24.1% (+75.9)#309
9. 57239 100.0% 28.6% (+71.4)#9 24.1% (+75.9)#372
10. 57639 100.0% 28.6% (+71.4)#10 24.1% (+75.9)#394
11. 57322 100.0% 28.6% (+71.4)#11 24.1% (+75.9)#424
12. 57424 100.0% 28.6% (+71.4)#12 24.1% (+75.9)#433
13. 57644 100.0% 28.6% (+71.4)#13 24.1% (+75.9)#478
14. 57569 100.0% 28.6% (+71.4)#14 24.1% (+75.9)#487
15. 57474 100.0% 28.6% (+71.4)#15 24.1% (+75.9)#505
16. 57521 100.0% 28.6% (+71.4)#16 24.1% (+75.9)#543
17. 57750 100.0% 28.6% (+71.4)#17 24.1% (+75.9)#547
18. 57661 100.0% 28.6% (+71.4)#18 24.1% (+75.9)#561
19. 57247 100.0% 28.6% (+71.4)#19 24.1% (+75.9)#570
20. 57585 100.0% 28.6% (+71.4)#20 24.1% (+75.9)#634
21. 57574 100.0% 28.6% (+71.4)#21 24.1% (+75.9)#640
22. 57584 100.0% 28.6% (+71.4)#22 24.1% (+75.9)#659
23. 57026 90.5% 28.6% (+61.9)#23 24.1% (+66.4)#760
24. 57748 90.0% 28.6% (+61.4)#24 24.1% (+65.9)#769
25. 57073 87.5% 28.6% (+58.9)#25 24.1% (+63.4)#808
26. 57560 85.7% 28.6% (+57.1)#26 24.1% (+61.6)#844
27. 57794 82.1% 28.6% (+53.4)#27 24.1% (+58.0)#929
28. 57461 80.0% 28.6% (+51.4)#28 24.1% (+55.9)#1,004
29. 57047 80.0% 28.6% (+51.4)#29 24.1% (+55.9)#1,005
30. 57622 78.3% 28.6% (+49.7)#30 24.1% (+54.2)#1,050
31. 57428 77.8% 28.6% (+49.2)#31 24.1% (+53.7)#1,065
32. 57436 75.0% 28.6% (+46.4)#32 24.1% (+50.9)#1,157
33. 57567 74.2% 28.6% (+45.6)#33 24.1% (+50.1)#1,197
34. 57219 73.3% 28.6% (+44.7)#34 24.1% (+49.3)#1,232
35. 57260 72.0% 28.6% (+43.4)#35 24.1% (+47.9)#1,286
36. 57579 70.1% 28.6% (+41.5)#36 24.1% (+46.1)#1,375
37. 57658 70.0% 28.6% (+41.4)#37 24.1% (+45.9)#1,388
38. 57339 69.8% 28.6% (+41.2)#38 24.1% (+45.7)#1,401
39. 57621 69.2% 28.6% (+40.6)#39 24.1% (+45.2)#1,430
40. 57714 68.9% 28.6% (+40.3)#40 24.1% (+44.8)#1,445
41. 57580 68.8% 28.6% (+40.2)#41 24.1% (+44.7)#1,449
42. 57334 66.7% 28.6% (+38.1)#42 24.1% (+42.6)#1,576
43. 57471 66.7% 28.6% (+38.1)#43 24.1% (+42.6)#1,589
44. 57738 66.7% 28.6% (+38.1)#44 24.1% (+42.6)#1,606
45. 57752 66.0% 28.6% (+37.3)#45 24.1% (+41.9)#1,668
46. 57566 65.2% 28.6% (+36.5)#46 24.1% (+41.1)#1,714
47. 57370 65.0% 28.6% (+36.4)#47 24.1% (+40.9)#1,723
48. 57356 64.8% 28.6% (+36.2)#48 24.1% (+40.7)#1,738
49. 57570 64.7% 28.6% (+36.0)#49 24.1% (+40.6)#1,742
50. 57744 64.5% 28.6% (+35.9)#50 24.1% (+40.4)#1,761
51. 57555 63.1% 28.6% (+34.5)#51 24.1% (+39.0)#1,877
52. 57548 62.9% 28.6% (+34.3)#52 24.1% (+38.9)#1,889
53. 57528 62.5% 28.6% (+33.9)#53 24.1% (+38.4)#1,932
54. 57523 62.1% 28.6% (+33.5)#54 24.1% (+38.0)#1,964
55. 57312 60.0% 28.6% (+31.4)#55 24.1% (+35.9)#2,148
56. 57271 60.0% 28.6% (+31.4)#56 24.1% (+35.9)#2,184
57. 57001 55.0% 28.6% (+26.4)#57 24.1% (+30.9)#2,689
58. 57572 54.0% 28.6% (+25.4)#58 24.1% (+29.9)#2,814
59. 57638 53.0% 28.6% (+24.4)#59 24.1% (+29.0)#2,955
60. 57315 52.9% 28.6% (+24.3)#60 24.1% (+28.9)#2,962
61. 57216 51.4% 28.6% (+22.8)#61 24.1% (+27.4)#3,172
62. 57070 50.0% 28.6% (+21.4)#62 24.1% (+25.9)#3,377
63. 57317 50.0% 28.6% (+21.4)#63 24.1% (+25.9)#3,444
64. 57441 50.0% 28.6% (+21.4)#64 24.1% (+25.9)#3,453
65. 57335 50.0% 28.6% (+21.4)#65 24.1% (+25.9)#3,528
66. 57747 49.8% 28.6% (+21.2)#66 24.1% (+25.8)#3,566
67. 57625 49.7% 28.6% (+21.1)#67 24.1% (+25.6)#3,582
68. 57642 49.1% 28.6% (+20.5)#68 24.1% (+25.0)#3,663
69. 57764 46.7% 28.6% (+18.1)#69 24.1% (+22.6)#4,081
70. 57270 46.2% 28.6% (+17.5)#70 24.1% (+22.1)#4,192
71. 57039 44.6% 28.6% (+16.0)#71 24.1% (+20.6)#4,510
72. 57369 44.3% 28.6% (+15.7)#72 24.1% (+20.2)#4,628
73. 57262 44.2% 28.6% (+15.6)#73 24.1% (+20.1)#4,641
74. 57038 43.8% 28.6% (+15.1)#74 24.1% (+19.7)#4,748
75. 57623 43.1% 28.6% (+14.5)#75 24.1% (+19.0)#4,908
76. 57363 42.9% 28.6% (+14.2)#76 24.1% (+18.8)#4,964
77. 57652 42.9% 28.6% (+14.2)#77 24.1% (+18.8)#4,982
78. 57324 42.9% 28.6% (+14.2)#78 24.1% (+18.8)#4,984
79. 57257 42.1% 28.6% (+13.5)#79 24.1% (+18.0)#5,159
80. 57577 40.8% 28.6% (+12.2)#80 24.1% (+16.7)#5,518
81. 57345 40.0% 28.6% (+11.4)#81 24.1% (+15.9)#5,758
82. 57626 40.0% 28.6% (+11.4)#82 24.1% (+15.9)#5,768
83. 57544 40.0% 28.6% (+11.4)#83 24.1% (+15.9)#5,790
84. 57533 39.5% 28.6% (+10.9)#84 24.1% (+15.5)#5,921
85. 57430 39.1% 28.6% (+10.5)#85 24.1% (+15.1)#6,051
86. 57325 38.9% 28.6% (+10.3)#86 24.1% (+14.8)#6,114
87. 57770 38.4% 28.6% (+9.81)#87 24.1% (+14.3)#6,262
88. 57301 38.4% 28.6% (+9.76)#88 24.1% (+14.3)#6,269
89. 57226 38.2% 28.6% (+9.63)#89 24.1% (+14.2)#6,309
90. 57701 37.6% 28.6% (+9.02)#90 24.1% (+13.6)#6,463
91. 57383 37.5% 28.6% (+8.89)#91 24.1% (+13.4)#6,540
92. 57716 37.5% 28.6% (+8.89)#92 24.1% (+13.4)#6,562
93. 57049 37.1% 28.6% (+8.44)#93 24.1% (+13.0)#6,689
94. 57241 36.4% 28.6% (+7.76)#94 24.1% (+12.3)#6,902
95. 57760 36.4% 28.6% (+7.76)#95 24.1% (+12.3)#6,906
96. 57381 36.0% 28.6% (+7.39)#96 24.1% (+11.9)#7,042
97. 57445 35.9% 28.6% (+7.29)#97 24.1% (+11.8)#7,081
98. 57029 35.8% 28.6% (+7.24)#98 24.1% (+11.8)#7,091
99. 57069 35.6% 28.6% (+7.02)#99 24.1% (+11.6)#7,185
100. 57703 35.3% 28.6% (+6.69)#100 24.1% (+11.2)#7,296

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in South Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females 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
100.0%
What zip code has the Highest Poverty Level Among Single Females in South Dakota?
57706 has the Highest Poverty Level Among Single Females in South Dakota with 100.0%.
What is the Poverty Level Among Single Females in the State of South Dakota?
Poverty Level Among Single Females in South Dakota is 28.6%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.