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

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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 Cities
Comparison Subject

Map of Cities with the Most Births per 1,000 Women Below Poverty Level in South Dakota

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

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

City Births / 1,000 Women vs State vs National
1.Millerdale Colony1,000.066.0(+934)#153.0(+947)#49
2.Cottonwood1,000.066.0(+934)#253.0(+947)#51
3.Burbank1,000.066.0(+934)#353.0(+947)#53
4.Tolstoy1,000.066.0(+934)#453.0(+947)#66
5.Artas1,000.066.0(+934)#553.0(+947)#67
6.Clear Lake800.066.0(+734)#653.0(+747)#98
7.Vienna727.066.0(+661)#753.0(+674)#123
8.Lake City667.066.0(+601)#853.0(+614)#142
9.Reliance643.066.0(+577)#953.0(+590)#150
10.Prairiewood512.066.0(+446)#1053.0(+459)#223
11.Wasta500.066.0(+434)#1153.0(+447)#238
12.Vale471.066.0(+405)#1253.0(+418)#265
13.Turton444.066.0(+378)#1353.0(+391)#285
14.Strandburg429.066.0(+363)#1453.0(+376)#304
15.Blucksberg Mountain408.066.0(+342)#1553.0(+355)#337
16.Dimock400.066.0(+334)#1653.0(+347)#352
17.Fairfax391.066.0(+325)#1753.0(+338)#367
18.Mina364.066.0(+298)#1853.0(+311)#410
19.Brandt364.066.0(+298)#1953.0(+311)#416
20.Harrold346.066.0(+280)#2053.0(+293)#454
21.Spring Creek Colony342.066.0(+276)#2153.0(+289)#464
22.Claremont333.066.0(+267)#2253.0(+280)#498
23.Ortley333.066.0(+267)#2353.0(+280)#504
24.Alpena315.066.0(+249)#2453.0(+262)#573
25.Bonesteel310.066.0(+244)#2553.0(+257)#591
26.Wakonda304.066.0(+238)#2653.0(+251)#622
27.Canistota303.066.0(+237)#2753.0(+250)#623
28.Eureka298.066.0(+232)#2853.0(+245)#640
29.Dante280.066.0(+214)#2953.0(+227)#728
30.Sinai278.066.0(+212)#3053.0(+225)#738
31.Corsica273.066.0(+207)#3153.0(+220)#752
32.Peever Flats273.066.0(+207)#3253.0(+220)#759
33.Stratford273.066.0(+207)#3353.0(+220)#761
34.Meadow View Addition268.066.0(+202)#3453.0(+215)#782
35.Brentford250.066.0(+184)#3553.0(+197)#901
36.Clark Colony250.066.0(+184)#3653.0(+197)#902
37.Delmont238.066.0(+172)#3753.0(+185)#976
38.Wounded Knee237.066.0(+171)#3853.0(+184)#985
39.Selby236.066.0(+170)#3953.0(+183)#992
40.Scotland235.066.0(+169)#4053.0(+182)#995
41.Astoria235.066.0(+169)#4153.0(+182)#1,002
42.Lake Norden225.066.0(+159)#4253.0(+172)#1,094
43.Presho224.066.0(+158)#4353.0(+171)#1,106
44.Carthage222.066.0(+156)#4453.0(+169)#1,123
45.Utica222.066.0(+156)#4553.0(+169)#1,134
46.Batesland214.066.0(+148)#4653.0(+161)#1,202
47.Pine Lakes Addition212.066.0(+146)#4753.0(+159)#1,223
48.Kranzburg208.066.0(+142)#4853.0(+155)#1,263
49.Lebanon208.066.0(+142)#4953.0(+155)#1,266
50.Wentworth200.066.0(+134)#5053.0(+147)#1,341
51.Farmer200.066.0(+134)#5153.0(+147)#1,354
52.Sherman200.066.0(+134)#5253.0(+147)#1,357
53.Blunt192.066.0(+126)#5353.0(+139)#1,445
54.Volin192.066.0(+126)#5453.0(+139)#1,446
55.Hecla186.066.0(+120)#5553.0(+133)#1,535
56.Kennebec182.066.0(+116)#5653.0(+129)#1,590
57.Webster180.066.0(+114)#5753.0(+127)#1,616
58.Platte175.066.0(+109)#5853.0(+122)#1,690
59.Pierpont174.066.0(+108)#5953.0(+121)#1,727
60.Oahe Acres171.066.0(+105)#6053.0(+118)#1,784
61.Mission168.066.0(+102)#6153.0(+115)#1,826
62.Buffalo Gap167.066.0(+101)#6253.0(+114)#1,874
63.Claire City167.066.0(+101)#6353.0(+114)#1,880
64.Emery165.066.0(+99.0)#6453.0(+112)#1,909
65.Herreid162.066.0(+96.0)#6553.0(+109)#1,972
66.Porcupine161.066.0(+95.0)#6653.0(+108)#1,990
67.Whitehorse161.066.0(+95.0)#6753.0(+108)#1,999
68.Long Hollow160.066.0(+94.0)#6853.0(+107)#2,010
69.Pickstown159.066.0(+93.0)#6953.0(+106)#2,041
70.Ashton157.066.0(+91.0)#7053.0(+104)#2,097
71.Mellette156.066.0(+90.0)#7153.0(+103)#2,127
72.Salem155.066.0(+89.0)#7253.0(+102)#2,139
73.St Lawrence150.066.0(+84.0)#7353.0(+97.0)#2,289
74.Richland150.066.0(+84.0)#7453.0(+97.0)#2,290
75.Lake Poinsett144.066.0(+78.0)#7553.0(+91.0)#2,484
76.Naples143.066.0(+77.0)#7653.0(+90.0)#2,553
77.Bryant142.066.0(+76.0)#7753.0(+89.0)#2,586
78.Madison141.066.0(+75.0)#7853.0(+88.0)#2,590
79.Newell140.066.0(+74.0)#7953.0(+87.0)#2,642
80.Pringle139.066.0(+73.0)#8053.0(+86.0)#2,679
81.Manderson White Horse Creek137.066.0(+71.0)#8153.0(+84.0)#2,734
82.Marty135.066.0(+69.0)#8253.0(+82.0)#2,806
83.Highmore134.066.0(+68.0)#8353.0(+81.0)#2,829
84.New Underwood133.066.0(+67.0)#8453.0(+80.0)#2,875
85.Oldham133.066.0(+67.0)#8553.0(+80.0)#2,890
86.Fulton133.066.0(+67.0)#8653.0(+80.0)#2,891
87.Armour132.066.0(+66.0)#8753.0(+79.0)#2,927
88.Isabel132.066.0(+66.0)#8853.0(+79.0)#2,937
89.North Eagle Butte131.066.0(+65.0)#8953.0(+78.0)#2,962
90.Corn Creek128.066.0(+62.0)#9053.0(+75.0)#3,120
91.Bullhead127.066.0(+61.0)#9153.0(+74.0)#3,158
92.Harrisburg123.066.0(+57.0)#9253.0(+70.0)#3,294
93.Freeman122.066.0(+56.0)#9353.0(+69.0)#3,364
94.Groton120.066.0(+54.0)#9453.0(+67.0)#3,467
95.Timber Lake120.066.0(+54.0)#9553.0(+67.0)#3,478
96.Gary120.066.0(+54.0)#9653.0(+67.0)#3,494
97.Hazel120.066.0(+54.0)#9753.0(+67.0)#3,499
98.Huron118.066.0(+52.0)#9853.0(+65.0)#3,556
99.Little Eagle118.066.0(+52.0)#9953.0(+65.0)#3,614
100.Antelope116.066.0(+50.0)#10053.0(+63.0)#3,708

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women Below Poverty Level in South Dakota?
Top 10 Cities 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
800.0
#5
727.0
#6
667.0
#7
643.0
#8
500.0
#9
471.0
#10
444.0
What city has the Most Births per 1,000 Women Below Poverty Level in South Dakota?
Cottonwood 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.