Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Dakota

RELATED REPORTS & OPTIONS

Highest Birth Rate | Below Poverty
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 Most Births per 1,000 Women Below Poverty Level in South Dakota

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Dakota Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Dakota

Zip Code Births / 1,000 Women vs State vs National
1.574751,000.066.0(+934)#153.0(+947)#35
2.575741,000.066.0(+934)#253.0(+947)#39
3.576401,000.066.0(+934)#353.0(+947)#53
4.57272653.066.0(+587)#453.0(+600)#108
5.57238594.066.0(+528)#553.0(+541)#131
6.57750522.066.0(+456)#653.0(+469)#158
7.57646464.066.0(+398)#753.0(+411)#203
8.57271444.066.0(+378)#853.0(+391)#219
9.57755440.066.0(+374)#953.0(+387)#223
10.57335412.066.0(+346)#1053.0(+359)#249
11.57420412.066.0(+346)#1153.0(+359)#250
12.57242364.066.0(+298)#1253.0(+311)#315
13.57467343.066.0(+277)#1353.0(+290)#352
14.57794314.066.0(+248)#1453.0(+261)#415
15.57437303.066.0(+237)#1553.0(+250)#445
16.57568301.066.0(+235)#1653.0(+248)#449
17.57061278.066.0(+212)#1753.0(+225)#535
18.57521273.066.0(+207)#1853.0(+220)#551
19.57024263.066.0(+197)#1953.0(+210)#593
20.57329263.066.0(+197)#2053.0(+210)#595
21.57422250.066.0(+184)#2153.0(+197)#660
22.57477250.066.0(+184)#2253.0(+197)#664
23.57429250.066.0(+184)#2353.0(+197)#668
24.57456248.066.0(+182)#2453.0(+195)#676
25.57012243.066.0(+177)#2553.0(+190)#699
26.57073241.066.0(+175)#2653.0(+188)#709
27.57536236.066.0(+170)#2753.0(+183)#738
28.57748232.066.0(+166)#2853.0(+179)#761
29.57472230.066.0(+164)#2953.0(+177)#773
30.57775228.066.0(+162)#3053.0(+175)#785
31.57227210.066.0(+144)#3153.0(+157)#888
32.57245208.066.0(+142)#3253.0(+155)#906
33.57569205.066.0(+139)#3353.0(+152)#930
34.57312204.066.0(+138)#3453.0(+151)#937
35.57059199.066.0(+133)#3553.0(+146)#1,003
36.57328198.066.0(+132)#3653.0(+145)#1,007
37.57353195.066.0(+129)#3753.0(+142)#1,042
38.57075194.066.0(+128)#3853.0(+141)#1,050
39.57448194.066.0(+128)#3953.0(+141)#1,056
40.57468194.066.0(+128)#4053.0(+141)#1,058
41.57540188.066.0(+122)#4153.0(+135)#1,128
42.57340179.066.0(+113)#4253.0(+126)#1,236
43.57455179.066.0(+113)#4353.0(+126)#1,237
44.57221178.066.0(+112)#4453.0(+125)#1,244
45.57232169.066.0(+103)#4553.0(+116)#1,387
46.57461167.066.0(+101)#4653.0(+114)#1,441
47.57224167.066.0(+101)#4753.0(+114)#1,448
48.57722167.066.0(+101)#4853.0(+114)#1,452
49.57660167.066.0(+101)#4953.0(+114)#1,454
50.57450165.066.0(+99.0)#5053.0(+112)#1,476
51.57248164.066.0(+98.0)#5153.0(+111)#1,486
52.57062162.066.0(+96.0)#5253.0(+109)#1,517
53.57058160.066.0(+94.0)#5353.0(+107)#1,552
54.57323160.066.0(+94.0)#5453.0(+107)#1,566
55.57367159.066.0(+93.0)#5553.0(+106)#1,584
56.57544158.066.0(+92.0)#5653.0(+105)#1,605
57.57331154.066.0(+88.0)#5753.0(+101)#1,674
58.57332150.066.0(+84.0)#5853.0(+97.0)#1,755
59.57633149.066.0(+83.0)#5953.0(+96.0)#1,779
60.57725147.066.0(+81.0)#6053.0(+94.0)#1,827
61.57559144.066.0(+78.0)#6153.0(+91.0)#1,898
62.57773139.066.0(+73.0)#6253.0(+86.0)#2,044
63.57033137.066.0(+71.0)#6353.0(+84.0)#2,086
64.57068135.066.0(+69.0)#6453.0(+82.0)#2,156
65.57361135.066.0(+69.0)#6553.0(+82.0)#2,183
66.57216132.066.0(+66.0)#6653.0(+79.0)#2,266
67.57555131.066.0(+65.0)#6753.0(+78.0)#2,289
68.57632130.066.0(+64.0)#6853.0(+77.0)#2,338
69.57330130.066.0(+64.0)#6953.0(+77.0)#2,343
70.57004128.066.0(+62.0)#7053.0(+75.0)#2,399
71.57621127.066.0(+61.0)#7153.0(+74.0)#2,470
72.57042125.066.0(+59.0)#7253.0(+72.0)#2,505
73.57274125.066.0(+59.0)#7353.0(+72.0)#2,522
74.57369125.066.0(+59.0)#7453.0(+72.0)#2,523
75.57365125.066.0(+59.0)#7553.0(+72.0)#2,534
76.57212124.066.0(+58.0)#7653.0(+71.0)#2,575
77.57724120.066.0(+54.0)#7753.0(+67.0)#2,767
78.57626119.066.0(+53.0)#7853.0(+66.0)#2,793
79.57661119.066.0(+53.0)#7953.0(+66.0)#2,802
80.57601118.066.0(+52.0)#8053.0(+65.0)#2,818
81.57620118.066.0(+52.0)#8153.0(+65.0)#2,850
82.57639118.066.0(+52.0)#8253.0(+65.0)#2,858
83.57078117.066.0(+51.0)#8353.0(+64.0)#2,869
84.57380117.066.0(+51.0)#8453.0(+64.0)#2,886
85.57756116.066.0(+50.0)#8553.0(+63.0)#2,948
86.57623115.066.0(+49.0)#8653.0(+62.0)#2,999
87.57441115.066.0(+49.0)#8753.0(+62.0)#3,004
88.57652114.066.0(+48.0)#8853.0(+61.0)#3,061
89.57445113.066.0(+47.0)#8953.0(+60.0)#3,091
90.57032110.066.0(+44.0)#9053.0(+57.0)#3,256
91.57350109.066.0(+43.0)#9153.0(+56.0)#3,313
92.57772108.066.0(+42.0)#9253.0(+55.0)#3,408
93.57257108.066.0(+42.0)#9353.0(+55.0)#3,421
94.57528107.066.0(+41.0)#9453.0(+54.0)#3,487
95.57424107.066.0(+41.0)#9553.0(+54.0)#3,498
96.57233107.066.0(+41.0)#9653.0(+54.0)#3,501
97.57339106.066.0(+40.0)#9753.0(+53.0)#3,549
98.57317105.066.0(+39.0)#9853.0(+52.0)#3,622
99.57451104.066.0(+38.0)#9953.0(+51.0)#3,670
100.57218103.066.0(+37.0)#10053.0(+50.0)#3,783

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Dakota are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
653.0
#5
594.0
#6
522.0
#7
464.0
#8
444.0
#9
440.0
#10
412.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in South Dakota?
57475 has the Most Births per 1,000 Women Below Poverty Level in South Dakota with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of South Dakota?
Number of Births per 1,000 Women Below Poverty Level in South Dakota is 66.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.