Cities with the Highest Male / Female Ratio in South Dakota

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Male / Female Ratio
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 Highest Male / Female Ratio in South Dakota

0.00
800.00
Cities with the Highest Male / Female Ratio in South Dakota Map

Cities with the Highest Male / Female Ratio in South Dakota

City Males / 100 Females vs State vs National
1.Vilas700.00102.96(+597)#298.38(+602)#37
2.Marvin700.00102.96(+597)#398.38(+602)#38
3.Springfield486.24102.96(+383)#498.38(+388)#97
4.Stephan437.50102.96(+335)#598.38(+339)#119
5.Orland Colony387.50102.96(+285)#698.38(+289)#147
6.Cow Creek362.50102.96(+260)#798.38(+264)#175
7.Wounded Knee355.42102.96(+252)#898.38(+257)#188
8.Broadland350.00102.96(+247)#998.38(+252)#200
9.Spring Creek329.73102.96(+227)#1098.38(+231)#228
10.Shamrock Colony325.00102.96(+222)#1198.38(+227)#239
11.Marty319.15102.96(+216)#1298.38(+221)#251
12.Chelsea300.00102.96(+197)#1398.38(+202)#294
13.Crook284.85102.96(+182)#1498.38(+186)#335
14.Long Lake271.43102.96(+168)#1598.38(+173)#372
15.Revillo266.67102.96(+164)#1698.38(+168)#389
16.Forestburg250.00102.96(+147)#1798.38(+152)#462
17.Harrison250.00102.96(+147)#1898.38(+152)#467
18.Ramona246.34102.96(+143)#1998.38(+148)#479
19.Ree Heights216.67102.96(+114)#2098.38(+118)#683
20.Westport207.41102.96(+104)#2198.38(+109)#776
21.Hosmer206.74102.96(+104)#2298.38(+108)#784
22.Chester200.00102.96(+97.0)#2398.38(+102)#834
23.Bath Corner200.00102.96(+97.0)#2498.38(+102)#847
24.Ortley200.00102.96(+97.0)#2598.38(+102)#850
25.Grassland Colony200.00102.96(+97.0)#2698.38(+102)#872
26.Millbrook Colony200.00102.96(+97.0)#2798.38(+102)#876
27.Strandburg195.45102.96(+92.5)#2898.38(+97.1)#928
28.Seneca180.00102.96(+77.0)#2998.38(+81.6)#1,165
29.Hitchcock175.68102.96(+72.7)#3098.38(+77.3)#1,248
30.Okreek168.29102.96(+65.3)#3198.38(+69.9)#1,419
31.Herrick168.00102.96(+65.0)#3298.38(+69.6)#1,427
32.Butler166.67102.96(+63.7)#3398.38(+68.3)#1,486
33.Parmelee166.26102.96(+63.3)#3498.38(+67.9)#1,494
34.Agency Village164.13102.96(+61.2)#3598.38(+65.7)#1,544
35.Volin163.79102.96(+60.8)#3698.38(+65.4)#1,555
36.Turton163.64102.96(+60.7)#3798.38(+65.3)#1,564
37.Mission Hill161.73102.96(+58.8)#3898.38(+63.3)#1,632
38.Wentworth161.19102.96(+58.2)#3998.38(+62.8)#1,653
39.Valley Springs160.98102.96(+58.0)#4098.38(+62.6)#1,663
40.Lantry160.00102.96(+57.0)#4198.38(+61.6)#1,705
41.Kenel158.82102.96(+55.9)#4298.38(+60.4)#1,733
42.Swift Bird155.71102.96(+52.8)#4398.38(+57.3)#1,859
43.Shindler155.46102.96(+52.5)#4498.38(+57.1)#1,873
44.Sherman155.00102.96(+52.0)#4598.38(+56.6)#1,895
45.La Plant154.24102.96(+51.3)#4698.38(+55.9)#1,928
46.Fruitdale154.00102.96(+51.0)#4798.38(+55.6)#1,937
47.Tulare153.95102.96(+51.0)#4898.38(+55.6)#1,940
48.Raymond152.63102.96(+49.7)#4998.38(+54.2)#1,989
49.Ashland Heights152.60102.96(+49.6)#5098.38(+54.2)#1,990
50.Lake City152.38102.96(+49.4)#5198.38(+54.0)#2,000
51.Burbank151.61102.96(+48.6)#5298.38(+53.2)#2,035
52.Fairview151.43102.96(+48.5)#5398.38(+53.0)#2,042
53.Angostura151.06102.96(+48.1)#5498.38(+52.7)#2,059
54.Clear Lake150.00102.96(+47.0)#5598.38(+51.6)#2,123
55.Orient150.00102.96(+47.0)#5698.38(+51.6)#2,144
56.Batesland147.22102.96(+44.3)#5798.38(+48.8)#2,288
57.Richland147.06102.96(+44.1)#5898.38(+48.7)#2,296
58.Yale145.98102.96(+43.0)#5998.38(+47.6)#2,371
59.Spring Creek Colony145.10102.96(+42.1)#6098.38(+46.7)#2,422
60.Fort Pierre144.85102.96(+41.9)#6198.38(+46.5)#2,433
61.Colome144.79102.96(+41.8)#6298.38(+46.4)#2,440
62.Buffalo144.78102.96(+41.8)#6398.38(+46.4)#2,441
63.Dolton144.44102.96(+41.5)#6498.38(+46.1)#2,476
64.Norris142.19102.96(+39.2)#6598.38(+43.8)#2,638
65.Bruce141.90102.96(+38.9)#6698.38(+43.5)#2,659
66.Buffalo Gap141.18102.96(+38.2)#6798.38(+42.8)#2,703
67.Bradley141.03102.96(+38.1)#6898.38(+42.6)#2,717
68.Morristown140.74102.96(+37.8)#6998.38(+42.4)#2,734
69.Antelope140.07102.96(+37.1)#7098.38(+41.7)#2,783
70.Bonesteel140.00102.96(+37.0)#7198.38(+41.6)#2,791
71.Peever139.34102.96(+36.4)#7298.38(+41.0)#2,859
72.Langford138.46102.96(+35.5)#7398.38(+40.1)#2,924
73.Stockholm138.46102.96(+35.5)#7498.38(+40.1)#2,929
74.Peever Flats137.78102.96(+34.8)#7598.38(+39.4)#2,987
75.Leola137.75102.96(+34.8)#7698.38(+39.4)#2,992
76.Smithwick137.50102.96(+34.5)#7798.38(+39.1)#3,024
77.Meadow View Addition136.57102.96(+33.6)#7898.38(+38.2)#3,095
78.Interior136.36102.96(+33.4)#7998.38(+38.0)#3,113
79.Claire City135.29102.96(+32.3)#8098.38(+36.9)#3,215
80.Quinn135.29102.96(+32.3)#8198.38(+36.9)#3,216
81.Fulton135.29102.96(+32.3)#8298.38(+36.9)#3,217
82.Monroe134.44102.96(+31.5)#8398.38(+36.1)#3,297
83.Blunt134.41102.96(+31.4)#8498.38(+36.0)#3,300
84.Oldham134.04102.96(+31.1)#8598.38(+35.7)#3,347
85.Trent133.80102.96(+30.8)#8698.38(+35.4)#3,370
86.Warner133.16102.96(+30.2)#8798.38(+34.8)#3,462
87.Oglala132.63102.96(+29.7)#8898.38(+34.2)#3,522
88.Egan132.00102.96(+29.0)#8998.38(+33.6)#3,585
89.Glendale Colony130.68102.96(+27.7)#9098.38(+32.3)#3,746
90.Brant Lake130.30102.96(+27.3)#9198.38(+31.9)#3,794
91.Hill City129.09102.96(+26.1)#9298.38(+30.7)#3,951
92.Tolstoy128.57102.96(+25.6)#9398.38(+30.2)#4,034
93.Roscoe128.47102.96(+25.5)#9498.38(+30.1)#4,053
94.Herreid128.11102.96(+25.1)#9598.38(+29.7)#4,087
95.Vienna127.66102.96(+24.7)#9698.38(+29.3)#4,138
96.Kimball126.91102.96(+23.9)#9798.38(+28.5)#4,240
97.Aurora Center126.67102.96(+23.7)#9898.38(+28.3)#4,281
98.Deadwood126.59102.96(+23.6)#9998.38(+28.2)#4,288
99.Gary126.36102.96(+23.4)#10098.38(+28.0)#4,311
100.Mansfield126.32102.96(+23.4)#10198.38(+27.9)#4,320

Common Questions

What are the Top 10 Cities with the Highest Male / Female Ratio in South Dakota?
Top 10 Cities with the Highest Male / Female Ratio in South Dakota are:
#1
700.00
#2
700.00
#3
486.24
#4
362.50
#5
355.42
#6
350.00
#7
329.73
#8
319.15
#9
300.00
#10
271.43
What city has the Highest Male / Female Ratio in South Dakota?
Vilas has the Highest Male / Female Ratio in South Dakota with 700.00.
What is the Male to Female Ratio in the State of South Dakota?
Male to Female Ratio in South Dakota is 102.96.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.