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

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Lowest 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
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Comparison Subject

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

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

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

City Births / 1,000 Women vs State vs National
1.Deadwood4.066.0(-62.0)#153.0(-49.0)#51
2.Irene7.066.0(-59.0)#253.0(-46.0)#236
3.Parkston9.066.0(-57.0)#353.0(-44.0)#382
4.Allen9.066.0(-57.0)#453.0(-44.0)#407
5.White River12.066.0(-54.0)#553.0(-41.0)#759
6.Keystone12.066.0(-54.0)#653.0(-41.0)#774
7.Redfield14.066.0(-52.0)#753.0(-39.0)#976
8.Langford15.066.0(-51.0)#853.0(-38.0)#1,205
9.Rosholt15.066.0(-51.0)#953.0(-38.0)#1,215
10.Gettysburg16.066.0(-50.0)#1053.0(-37.0)#1,314
11.Wilmot16.066.0(-50.0)#1153.0(-37.0)#1,381
12.Colton17.066.0(-49.0)#1253.0(-36.0)#1,508
13.Gayville17.066.0(-49.0)#1353.0(-36.0)#1,538
14.Doland18.066.0(-48.0)#1453.0(-35.0)#1,734
15.Spearfish19.066.0(-47.0)#1553.0(-34.0)#1,751
16.Warner19.066.0(-47.0)#1653.0(-34.0)#1,883
17.Brookings23.066.0(-43.0)#1753.0(-30.0)#2,460
18.Castlewood23.066.0(-43.0)#1853.0(-30.0)#2,593
19.Kimball23.066.0(-43.0)#1953.0(-30.0)#2,604
20.Wakpala23.066.0(-43.0)#2053.0(-30.0)#2,620
21.Pine Ridge24.066.0(-42.0)#2153.0(-29.0)#2,703
22.Pukwana24.066.0(-42.0)#2253.0(-29.0)#2,822
23.Brandon25.066.0(-41.0)#2353.0(-28.0)#2,865
24.Belle Fourche25.066.0(-41.0)#2453.0(-28.0)#2,883
25.Volga25.066.0(-41.0)#2553.0(-28.0)#2,935
26.Wall25.066.0(-41.0)#2653.0(-28.0)#3,010
27.Gregory26.066.0(-40.0)#2753.0(-27.0)#3,170
28.Lemmon27.066.0(-39.0)#2853.0(-26.0)#3,376
29.Winner28.066.0(-38.0)#2953.0(-25.0)#3,533
30.Mitchell29.066.0(-37.0)#3053.0(-24.0)#3,658
31.Northville29.066.0(-37.0)#3153.0(-24.0)#3,860
32.Canton31.066.0(-35.0)#3253.0(-22.0)#4,215
33.Crooks31.066.0(-35.0)#3353.0(-22.0)#4,256
34.De Smet31.066.0(-35.0)#3453.0(-22.0)#4,278
35.Bowdle31.066.0(-35.0)#3553.0(-22.0)#4,313
36.Midland31.066.0(-35.0)#3653.0(-22.0)#4,331
37.Faulkton33.066.0(-33.0)#3753.0(-20.0)#4,731
38.St Francis35.066.0(-31.0)#3853.0(-18.0)#5,231
39.Burke36.066.0(-30.0)#3953.0(-17.0)#5,456
40.Hayti36.066.0(-30.0)#4053.0(-17.0)#5,476
41.North Spearfish37.066.0(-29.0)#4153.0(-16.0)#5,653
42.Lake Madison37.066.0(-29.0)#4253.0(-16.0)#5,694
43.Centerville37.066.0(-29.0)#4353.0(-16.0)#5,695
44.Tabor37.066.0(-29.0)#4453.0(-16.0)#5,714
45.Piedmont38.066.0(-28.0)#4553.0(-15.0)#5,915
46.Lake Andes38.066.0(-28.0)#4653.0(-15.0)#5,926
47.Buffalo38.066.0(-28.0)#4753.0(-15.0)#5,973
48.Bristol38.066.0(-28.0)#4853.0(-15.0)#5,983
49.Nisland38.066.0(-28.0)#4953.0(-15.0)#5,985
50.Toronto40.066.0(-26.0)#5053.0(-13.0)#6,443
51.Watertown41.066.0(-25.0)#5153.0(-12.0)#6,509
52.Howard41.066.0(-25.0)#5253.0(-12.0)#6,661
53.Iroquois42.066.0(-24.0)#5353.0(-11.0)#6,929
54.Leola42.066.0(-24.0)#5453.0(-11.0)#6,931
55.Miller43.066.0(-23.0)#5553.0(-10.00)#7,122
56.Rosebud45.066.0(-21.0)#5653.0(-8.00)#7,610
57.Summit45.066.0(-21.0)#5753.0(-8.00)#7,681
58.Roscoe45.066.0(-21.0)#5853.0(-8.00)#7,684
59.Vermillion46.066.0(-20.0)#5953.0(-7.00)#7,787
60.Eagle Butte46.066.0(-20.0)#6053.0(-7.00)#7,873
61.Dell Rapids47.066.0(-19.0)#6153.0(-6.00)#8,053
62.Badger47.066.0(-19.0)#6253.0(-6.00)#8,160
63.North Sioux City48.066.0(-18.0)#6353.0(-5.00)#8,307
64.Worthing48.066.0(-18.0)#6453.0(-5.00)#8,358
65.Whitewood48.066.0(-18.0)#6553.0(-5.00)#8,364
66.Florence48.066.0(-18.0)#6653.0(-5.00)#8,398
67.Lennox49.066.0(-17.0)#6753.0(-4.00)#8,563
68.Horse Creek49.066.0(-17.0)#6853.0(-4.00)#8,650
69.Ipswich50.066.0(-16.0)#6953.0(-3.00)#8,848
70.Mount Vernon50.066.0(-16.0)#7053.0(-3.00)#8,880
71.Dakota Dunes51.066.0(-15.0)#7153.0(-2.00)#9,030
72.Dupree51.066.0(-15.0)#7253.0(-2.00)#9,110
73.White Lake53.066.0(-13.0)#7353.0(=0.000)#9,579
74.Sturgis54.066.0(-12.0)#7453.0(+1.000)#9,703
75.Sisseton54.066.0(-12.0)#7553.0(+1.000)#9,749
76.Chamberlain54.066.0(-12.0)#7653.0(+1.000)#9,750
77.Humboldt54.066.0(-12.0)#7753.0(+1.000)#9,806
78.Shindler54.066.0(-12.0)#7853.0(+1.000)#9,809
79.Blackhawk55.066.0(-11.0)#7953.0(+2.00)#9,973
80.Martin55.066.0(-11.0)#8053.0(+2.00)#10,023
81.Pierre57.066.0(-9.00)#8153.0(+4.00)#10,376
82.Rapid Valley57.066.0(-9.00)#8253.0(+4.00)#10,398
83.Tea57.066.0(-9.00)#8353.0(+4.00)#10,403
84.Clark58.066.0(-8.00)#8453.0(+5.00)#10,660
85.Estelline59.066.0(-7.00)#8553.0(+6.00)#10,885
86.Menno59.066.0(-7.00)#8653.0(+6.00)#10,891
87.Oacoma59.066.0(-7.00)#8753.0(+6.00)#10,912
88.Wagner60.066.0(-6.00)#8853.0(+7.00)#11,066
89.Parker61.066.0(-5.00)#8953.0(+8.00)#11,270
90.White61.066.0(-5.00)#9053.0(+8.00)#11,311
91.La Bolt63.066.0(-3.00)#9153.0(+10.00)#11,735
92.Rapid City64.066.0(-2.00)#9253.0(+11.0)#11,746
93.Milbank65.066.0(-1.000)#9353.0(+12.0)#12,010
94.Hot Springs66.066.0(=0.000)#9453.0(+13.0)#12,190
95.Valley Springs67.066.0(+1.000)#9553.0(+14.0)#12,402
96.Alexandria67.066.0(+1.000)#9653.0(+14.0)#12,406
97.Hurley67.066.0(+1.000)#9753.0(+14.0)#12,426
98.Sioux Falls68.066.0(+2.00)#9853.0(+15.0)#12,455
99.Box Elder68.066.0(+2.00)#9953.0(+15.0)#12,498
100.Baltic71.066.0(+5.00)#10053.0(+18.0)#13,040

Common Questions

What are the Top 10 Cities with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota?
Top 10 Cities with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota are:
#1
4.0
#2
7.0
#3
9.0
#4
9.0
#5
12.0
#6
12.0
#7
14.0
#8
15.0
#9
15.0
#10
16.0
What city has the Fewest Births per 1,000 Women Below Poverty Level in South Dakota?
Deadwood has the Fewest Births per 1,000 Women Below Poverty Level in South Dakota with 4.0.
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.