Cities with the Lowest Births per 1,000 Women in Labor Force in South Dakota

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in South Dakota

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Cities with the Lowest Births per 1,000 Women in Labor Force in South Dakota Map

Cities with the Lowest Births per 1,000 Women in Labor Force in South Dakota

City Births / 1,000 Women vs State vs National
1.Deadwood5.059.0(-54.0)#148.0(-43.0)#93
2.Irene10.059.0(-49.0)#248.0(-38.0)#476
3.Parkston11.059.0(-48.0)#348.0(-37.0)#555
4.Wall11.059.0(-48.0)#448.0(-37.0)#585
5.Hayti11.059.0(-48.0)#548.0(-37.0)#594
6.Redfield16.059.0(-43.0)#648.0(-32.0)#1,207
7.Brookings17.059.0(-42.0)#748.0(-31.0)#1,291
8.Bryant17.059.0(-42.0)#848.0(-31.0)#1,413
9.Rosholt17.059.0(-42.0)#948.0(-31.0)#1,433
10.Wilmot18.059.0(-41.0)#1048.0(-30.0)#1,610
11.Langford19.059.0(-40.0)#1148.0(-29.0)#1,772
12.Spearfish20.059.0(-39.0)#1248.0(-28.0)#1,814
13.Volga20.059.0(-39.0)#1348.0(-28.0)#1,890
14.Eagle Butte20.059.0(-39.0)#1448.0(-28.0)#1,902
15.Iroquois20.059.0(-39.0)#1548.0(-28.0)#1,946
16.Gayville20.059.0(-39.0)#1648.0(-28.0)#1,947
17.Winner21.059.0(-38.0)#1748.0(-27.0)#2,054
18.Summit21.059.0(-38.0)#1848.0(-27.0)#2,132
19.Rosebud22.059.0(-37.0)#1948.0(-26.0)#2,239
20.Sturgis23.059.0(-36.0)#2048.0(-25.0)#2,378
21.St Francis23.059.0(-36.0)#2148.0(-25.0)#2,492
22.Gettysburg24.059.0(-35.0)#2248.0(-24.0)#2,664
23.Toronto24.059.0(-35.0)#2348.0(-24.0)#2,724
24.Pukwana24.059.0(-35.0)#2448.0(-24.0)#2,727
25.Estelline25.059.0(-34.0)#2548.0(-23.0)#2,887
26.Doland25.059.0(-34.0)#2648.0(-23.0)#2,924
27.Box Elder27.059.0(-32.0)#2748.0(-21.0)#3,161
28.Brandon28.059.0(-31.0)#2848.0(-20.0)#3,367
29.Kimball29.059.0(-30.0)#2948.0(-19.0)#3,676
30.Miller30.059.0(-29.0)#3048.0(-18.0)#3,857
31.Lemmon30.059.0(-29.0)#3148.0(-18.0)#3,859
32.Gregory31.059.0(-28.0)#3248.0(-17.0)#4,066
33.De Smet32.059.0(-27.0)#3348.0(-16.0)#4,250
34.Northville32.059.0(-27.0)#3448.0(-16.0)#4,299
35.Mitchell35.059.0(-24.0)#3548.0(-13.0)#4,795
36.Faulkton35.059.0(-24.0)#3648.0(-13.0)#4,909
37.Montrose35.059.0(-24.0)#3748.0(-13.0)#4,912
38.Vermillion36.059.0(-23.0)#3848.0(-12.0)#4,991
39.Belle Fourche36.059.0(-23.0)#3948.0(-12.0)#5,021
40.Crooks37.059.0(-22.0)#4048.0(-11.0)#5,325
41.Canton38.059.0(-21.0)#4148.0(-10.00)#5,519
42.North Spearfish39.059.0(-20.0)#4248.0(-9.00)#5,800
43.Piedmont42.059.0(-17.0)#4348.0(-6.00)#6,463
44.Watertown43.059.0(-16.0)#4448.0(-5.00)#6,550
45.Lake Andes43.059.0(-16.0)#4548.0(-5.00)#6,687
46.Garretson45.059.0(-14.0)#4648.0(-3.00)#7,098
47.Menno45.059.0(-14.0)#4748.0(-3.00)#7,110
48.Centerville45.059.0(-14.0)#4848.0(-3.00)#7,113
49.Rapid Valley46.059.0(-13.0)#4948.0(-2.00)#7,253
50.Lead47.059.0(-12.0)#5048.0(-1.000)#7,464
51.Bowdle47.059.0(-12.0)#5148.0(-1.000)#7,526
52.Whitewood48.059.0(-11.0)#5248.0(=0.000)#7,729
53.Lake Madison48.059.0(-11.0)#5348.0(=0.000)#7,733
54.Tabor48.059.0(-11.0)#5448.0(=0.000)#7,758
55.Worthing49.059.0(-10.00)#5548.0(+1.000)#7,974
56.Dell Rapids51.059.0(-8.00)#5648.0(+3.00)#8,333
57.North Sioux City51.059.0(-8.00)#5748.0(+3.00)#8,348
58.Buffalo51.059.0(-8.00)#5848.0(+3.00)#8,412
59.Bristol51.059.0(-8.00)#5948.0(+3.00)#8,414
60.Big Stone City52.059.0(-7.00)#6048.0(+4.00)#8,574
61.Leola52.059.0(-7.00)#6148.0(+4.00)#8,585
62.Blunt53.059.0(-6.00)#6248.0(+5.00)#8,797
63.Badger53.059.0(-6.00)#6348.0(+5.00)#8,801
64.Hot Springs54.059.0(-5.00)#6448.0(+6.00)#8,918
65.Valley Springs57.059.0(-2.00)#6548.0(+9.00)#9,528
66.Rapid City58.059.0(-1.000)#6648.0(+10.00)#9,578
67.Veblen58.059.0(-1.000)#6748.0(+10.00)#9,723
68.Clark59.059.0(=0.000)#6848.0(+11.0)#9,872
69.Ipswich59.059.0(=0.000)#6948.0(+11.0)#9,874
70.Howard59.059.0(=0.000)#7048.0(+11.0)#9,878
71.Hermosa59.059.0(=0.000)#7148.0(+11.0)#9,902
72.Pine Ridge60.059.0(+1.000)#7248.0(+12.0)#10,008
73.Sisseton60.059.0(+1.000)#7348.0(+12.0)#10,013
74.Burke61.059.0(+2.00)#7448.0(+13.0)#10,201
75.Wagner62.059.0(+3.00)#7548.0(+14.0)#10,312
76.Lake Norden62.059.0(+3.00)#7648.0(+14.0)#10,332
77.Dupree62.059.0(+3.00)#7748.0(+14.0)#10,344
78.Sioux Falls64.059.0(+5.00)#7848.0(+16.0)#10,537
79.Tea64.059.0(+5.00)#7948.0(+16.0)#10,600
80.Britton64.059.0(+5.00)#8048.0(+16.0)#10,647
81.Scotland64.059.0(+5.00)#8148.0(+16.0)#10,654
82.Blackhawk65.059.0(+6.00)#8248.0(+17.0)#10,753
83.Hill City65.059.0(+6.00)#8348.0(+17.0)#10,793
84.Humboldt65.059.0(+6.00)#8448.0(+17.0)#10,794
85.Florence65.059.0(+6.00)#8548.0(+17.0)#10,811
86.Aberdeen67.059.0(+8.00)#8648.0(+19.0)#10,956
87.Pierre67.059.0(+8.00)#8748.0(+19.0)#10,975
88.Elkton67.059.0(+8.00)#8848.0(+19.0)#11,048
89.White Lake67.059.0(+8.00)#8948.0(+19.0)#11,073
90.Stockholm67.059.0(+8.00)#9048.0(+19.0)#11,098
91.Yankton68.059.0(+9.00)#9148.0(+20.0)#11,124
92.Flandreau68.059.0(+9.00)#9248.0(+20.0)#11,177
93.Oacoma68.059.0(+9.00)#9348.0(+20.0)#11,229
94.Dakota Dunes69.059.0(+10.00)#9448.0(+21.0)#11,297
95.Alexandria69.059.0(+10.00)#9548.0(+21.0)#11,341
96.Bullhead69.059.0(+10.00)#9648.0(+21.0)#11,359
97.Corsica71.059.0(+12.0)#9748.0(+23.0)#11,581
98.Chamberlain72.059.0(+13.0)#9848.0(+24.0)#11,675
99.Mount Vernon72.059.0(+13.0)#9948.0(+24.0)#11,714
100.White73.059.0(+14.0)#10048.0(+25.0)#11,818

Common Questions

What are the Top 10 Cities with the Lowest Births per 1,000 Women in Labor Force in South Dakota?
Top 10 Cities with the Lowest Births per 1,000 Women in Labor Force in South Dakota are:
#1
5.0
#2
10.0
#3
11.0
#4
11.0
#5
11.0
#6
16.0
#7
17.0
#8
17.0
#9
17.0
#10
18.0
What city has the Lowest Births per 1,000 Women in Labor Force in South Dakota?
Deadwood has the Lowest Births per 1,000 Women in Labor Force in South Dakota with 5.0.
What is the Number Births per 1,000 Women in Labor Force in the State of South Dakota?
Number Births per 1,000 Women in Labor Force in South Dakota is 59.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.