Zip Codes with the Highest Female Poverty Level in South Dakota

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Highest Poverty | 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 Female Poverty Level in South Dakota

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in South Dakota Map

Zip Codes with the Highest Female Poverty Level in South Dakota

Zip Code Female Poverty vs State vs National
1.57756100.0%13.6%(+86.4)#113.7%(+86.3)#18
2.5779496.1%13.6%(+82.5)#213.7%(+82.4)#114
3.5763995.8%13.6%(+82.2)#313.7%(+82.1)#115
4.5777295.5%13.6%(+82.0)#413.7%(+81.8)#117
5.5757494.0%13.6%(+80.5)#513.7%(+80.3)#120
6.5775077.6%13.6%(+64.0)#613.7%(+63.9)#179
7.5736176.6%13.6%(+63.0)#713.7%(+62.9)#181
8.5756076.3%13.6%(+62.7)#813.7%(+62.6)#183
9.5762175.2%13.6%(+61.6)#913.7%(+61.5)#193
10.5735472.7%13.6%(+59.2)#1013.7%(+59.0)#213
11.5756671.8%13.6%(+58.2)#1113.7%(+58.1)#219
12.5747368.8%13.6%(+55.2)#1213.7%(+55.1)#252
13.5762266.7%13.6%(+53.1)#1313.7%(+53.0)#277
14.5763466.7%13.6%(+53.1)#1413.7%(+53.0)#279
15.5757264.5%13.6%(+50.9)#1513.7%(+50.8)#311
16.5775964.1%13.6%(+50.5)#1613.7%(+50.4)#317
17.5765862.6%13.6%(+49.0)#1713.7%(+48.9)#336
18.5725858.3%13.6%(+44.7)#1813.7%(+44.6)#414
19.5757056.5%13.6%(+42.9)#1913.7%(+42.8)#459
20.5775255.9%13.6%(+42.3)#2013.7%(+42.2)#477
21.5754849.0%13.6%(+35.4)#2113.7%(+35.3)#707
22.5771448.7%13.6%(+35.1)#2213.7%(+35.0)#719
23.5754347.6%13.6%(+34.0)#2313.7%(+33.9)#765
24.5733946.7%13.6%(+33.1)#2413.7%(+33.0)#800
25.5747045.6%13.6%(+32.0)#2513.7%(+31.9)#861
26.5755545.0%13.6%(+31.4)#2613.7%(+31.3)#901
27.5776444.2%13.6%(+30.6)#2713.7%(+30.5)#949
28.5778842.7%13.6%(+29.1)#2813.7%(+29.0)#1,044
29.5757942.6%13.6%(+29.1)#2913.7%(+28.9)#1,047
30.5764240.2%13.6%(+26.6)#3013.7%(+26.5)#1,227
31.5752139.6%13.6%(+26.0)#3113.7%(+25.9)#1,280
32.5774837.9%13.6%(+24.3)#3213.7%(+24.2)#1,444
33.5777037.8%13.6%(+24.2)#3313.7%(+24.1)#1,455
34.5757737.5%13.6%(+23.9)#3413.7%(+23.8)#1,485
35.5762536.4%13.6%(+22.9)#3513.7%(+22.7)#1,609
36.5735635.4%13.6%(+21.8)#3613.7%(+21.7)#1,760
37.5742035.1%13.6%(+21.5)#3713.7%(+21.4)#1,807
38.5778733.6%13.6%(+20.1)#3813.7%(+19.9)#2,050
39.5765232.6%13.6%(+19.1)#3913.7%(+18.9)#2,225
40.5776632.4%13.6%(+18.8)#4013.7%(+18.7)#2,274
41.5725731.8%13.6%(+18.3)#4113.7%(+18.1)#2,390
42.5736930.1%13.6%(+16.5)#4213.7%(+16.4)#2,805
43.5752829.6%13.6%(+16.0)#4313.7%(+15.9)#2,932
44.5746628.6%13.6%(+15.0)#4413.7%(+14.9)#3,204
45.5763028.6%13.6%(+15.0)#4513.7%(+14.9)#3,211
46.5726228.4%13.6%(+14.8)#4613.7%(+14.7)#3,254
47.5758428.2%13.6%(+14.6)#4713.7%(+14.5)#3,316
48.5758027.9%13.6%(+14.3)#4813.7%(+14.2)#3,400
49.5764427.7%13.6%(+14.1)#4913.7%(+14.0)#3,465
50.5762327.1%13.6%(+13.5)#5013.7%(+13.4)#3,662
51.5731526.9%13.6%(+13.3)#5113.7%(+13.2)#3,739
52.5706926.4%13.6%(+12.8)#5213.7%(+12.7)#3,912
53.5758526.3%13.6%(+12.7)#5313.7%(+12.6)#3,965
54.5727325.9%13.6%(+12.4)#5413.7%(+12.2)#4,087
55.5731325.0%13.6%(+11.5)#5513.7%(+11.3)#4,446
56.5757125.0%13.6%(+11.4)#5613.7%(+11.3)#4,488
57.5774425.0%13.6%(+11.4)#5713.7%(+11.3)#4,495
58.5756924.8%13.6%(+11.2)#5813.7%(+11.1)#4,563
59.5773524.6%13.6%(+11.0)#5913.7%(+10.9)#4,642
60.5762624.4%13.6%(+10.8)#6013.7%(+10.7)#4,732
61.5743823.9%13.6%(+10.3)#6113.7%(+10.2)#4,971
62.5704723.7%13.6%(+10.1)#6213.7%(+10.0)#5,062
63.5747623.0%13.6%(+9.41)#6313.7%(+9.29)#5,419
64.5721922.9%13.6%(+9.36)#6413.7%(+9.23)#5,458
65.5763822.7%13.6%(+9.09)#6513.7%(+8.96)#5,573
66.5743622.4%13.6%(+8.81)#6613.7%(+8.69)#5,727
67.5764522.4%13.6%(+8.81)#6713.7%(+8.69)#5,729
68.5770122.1%13.6%(+8.48)#6813.7%(+8.36)#5,922
69.5766121.6%13.6%(+8.01)#6913.7%(+7.89)#6,207
70.5756721.5%13.6%(+7.89)#7013.7%(+7.77)#6,276
71.5733421.4%13.6%(+7.87)#7113.7%(+7.75)#6,285
72.5779121.2%13.6%(+7.60)#7213.7%(+7.48)#6,474
73.5743521.0%13.6%(+7.44)#7313.7%(+7.32)#6,574
74.5706521.0%13.6%(+7.38)#7413.7%(+7.26)#6,609
75.5724520.8%13.6%(+7.26)#7513.7%(+7.13)#6,686
76.5726620.8%13.6%(+7.24)#7613.7%(+7.12)#6,701
77.5702620.5%13.6%(+6.94)#7713.7%(+6.82)#6,919
78.5744020.5%13.6%(+6.88)#7813.7%(+6.76)#6,952
79.5753120.5%13.6%(+6.88)#7913.7%(+6.76)#6,956
80.5702919.9%13.6%(+6.32)#8013.7%(+6.20)#7,340
81.5772519.9%13.6%(+6.28)#8113.7%(+6.16)#7,359
82.5731719.5%13.6%(+5.97)#8213.7%(+5.85)#7,566
83.5743719.3%13.6%(+5.71)#8313.7%(+5.59)#7,772
84.5738118.6%13.6%(+5.01)#8413.7%(+4.88)#8,357
85.5705018.5%13.6%(+4.90)#8513.7%(+4.78)#8,453
86.5732118.0%13.6%(+4.44)#8613.7%(+4.31)#8,834
87.5774718.0%13.6%(+4.41)#8713.7%(+4.29)#8,859
88.5733517.7%13.6%(+4.15)#8813.7%(+4.03)#9,077
89.5732217.7%13.6%(+4.12)#8913.7%(+3.99)#9,119
90.5775417.4%13.6%(+3.83)#9013.7%(+3.71)#9,367
91.5722417.1%13.6%(+3.57)#9113.7%(+3.44)#9,619
92.5726017.1%13.6%(+3.49)#9213.7%(+3.36)#9,693
93.5723816.9%13.6%(+3.35)#9313.7%(+3.22)#9,829
94.5707016.9%13.6%(+3.30)#9413.7%(+3.18)#9,865
95.5737016.8%13.6%(+3.20)#9513.7%(+3.07)#9,958
96.5766016.3%13.6%(+2.75)#9613.7%(+2.63)#10,440
97.5760116.2%13.6%(+2.63)#9713.7%(+2.51)#10,545
98.5746116.1%13.6%(+2.55)#9813.7%(+2.43)#10,628
99.5705716.1%13.6%(+2.55)#9913.7%(+2.43)#10,629
100.5710416.1%13.6%(+2.54)#10013.7%(+2.42)#10,641

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in South Dakota?
Top 10 Zip Codes with the Highest Female Poverty Level in South Dakota are:
#1
100.0%
#2
96.1%
#3
95.8%
#4
95.5%
#5
94.0%
#6
77.6%
#7
76.6%
#8
76.3%
#9
75.2%
#10
72.7%
What zip code has the Highest Female Poverty Level in South Dakota?
57756 has the Highest Female Poverty Level in South Dakota with 100.0%.
What is the Poverty Level Among Females in the State of South Dakota?
Poverty Level Among Females in South Dakota is 13.6%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.