Cities with the Highest Female / Male Ratio in South Dakota

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Female / Male 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 Female / Male Ratio in South Dakota

0.00
2,500.00
Cities with the Highest Female / Male Ratio in South Dakota Map

Cities with the Highest Female / Male Ratio in South Dakota

City Females / 100 Males vs State vs National
1.Ideal2,450.0097.12(+2.35k)#1101.64(+2.35k)#3
2.Ferney2,100.0097.12(+2.00k)#2101.64(+2.00k)#4
3.Prairie City633.3397.12(+536)#3101.64(+532)#43
4.Artas485.7197.12(+389)#4101.64(+384)#60
5.Long Hollow468.7597.12(+372)#5101.64(+367)#65
6.Oral450.0097.12(+353)#6101.64(+348)#76
7.Okaton377.7897.12(+281)#7101.64(+276)#118
8.Vale365.0097.12(+268)#8101.64(+263)#130
9.Virgil300.0097.12(+203)#9101.64(+198)#218
10.Verdon300.0097.12(+203)#10101.64(+198)#220
11.Kaylor275.0097.12(+178)#11101.64(+173)#272
12.Millerdale Colony258.3397.12(+161)#12101.64(+157)#310
13.Bath229.4197.12(+132)#13101.64(+128)#423
14.Lebanon225.0097.12(+128)#14101.64(+123)#445
15.Altamont225.0097.12(+128)#15101.64(+123)#447
16.Soldier Creek217.7897.12(+121)#16101.64(+116)#491
17.Meckling208.3397.12(+111)#17101.64(+107)#582
18.Hecla202.3597.12(+105)#18101.64(+101)#620
19.Wasta200.0097.12(+103)#19101.64(+98.4)#659
20.Morningside193.7597.12(+96.6)#20101.64(+92.1)#746
21.Golden View Colony189.1997.12(+92.1)#21101.64(+87.5)#796
22.Wetonka180.0097.12(+82.9)#22101.64(+78.4)#933
23.Sicangu179.5297.12(+82.4)#23101.64(+77.9)#943
24.Henry176.7497.12(+79.6)#24101.64(+75.1)#983
25.Wood171.4397.12(+74.3)#25101.64(+69.8)#1,095
26.Fairfax170.0097.12(+72.9)#26101.64(+68.4)#1,126
27.Olivet160.8797.12(+63.7)#27101.64(+59.2)#1,366
28.Conde158.0097.12(+60.9)#28101.64(+56.4)#1,471
29.Viborg157.5397.12(+60.4)#29101.64(+55.9)#1,494
30.Boulder Canyon156.8297.12(+59.7)#30101.64(+55.2)#1,523
31.Kadoka156.4097.12(+59.3)#31101.64(+54.8)#1,543
32.Philip155.3397.12(+58.2)#32101.64(+53.7)#1,597
33.Java153.4597.12(+56.3)#33101.64(+51.8)#1,682
34.Martin153.3097.12(+56.2)#34101.64(+51.7)#1,690
35.Dimock151.6197.12(+54.5)#35101.64(+50.0)#1,792
36.Bushnell150.0097.12(+52.9)#36101.64(+48.4)#1,868
37.Carthage146.7797.12(+49.7)#37101.64(+45.1)#2,053
38.Allen146.2897.12(+49.2)#38101.64(+44.6)#2,076
39.Shannon Colony145.4597.12(+48.3)#39101.64(+43.8)#2,137
40.Central City145.1097.12(+48.0)#40101.64(+43.5)#2,158
41.Scotland143.7597.12(+46.6)#41101.64(+42.1)#2,257
42.Artesian143.5997.12(+46.5)#42101.64(+41.9)#2,277
43.White Horse143.3397.12(+46.2)#43101.64(+41.7)#2,298
44.Midland142.1197.12(+45.0)#44101.64(+40.5)#2,387
45.Bridger141.9497.12(+44.8)#45101.64(+40.3)#2,400
46.Woonsocket139.0697.12(+41.9)#46101.64(+37.4)#2,651
47.Wessington138.8297.12(+41.7)#47101.64(+37.2)#2,675
48.Ward138.4697.12(+41.3)#48101.64(+36.8)#2,714
49.Cherry Creek137.7697.12(+40.6)#49101.64(+36.1)#2,779
50.Camp Crook137.5097.12(+40.4)#50101.64(+35.9)#2,814
51.Brant Lake South137.2397.12(+40.1)#51101.64(+35.6)#2,845
52.Doland136.9797.12(+39.9)#52101.64(+35.3)#2,872
53.Tabor136.8497.12(+39.7)#53101.64(+35.2)#2,883
54.Brentford135.7197.12(+38.6)#54101.64(+34.1)#3,010
55.Canova133.8797.12(+36.7)#55101.64(+32.2)#3,209
56.Lane133.3397.12(+36.2)#56101.64(+31.7)#3,286
57.St Charles133.3397.12(+36.2)#57101.64(+31.7)#3,294
58.Wagner133.2497.12(+36.1)#58101.64(+31.6)#3,298
59.Irene132.1397.12(+35.0)#59101.64(+30.5)#3,436
60.Parker131.9497.12(+34.8)#60101.64(+30.3)#3,466
61.Ethan131.9097.12(+34.8)#61101.64(+30.3)#3,475
62.Mclaughlin131.7097.12(+34.6)#62101.64(+30.1)#3,512
63.Hoven131.3997.12(+34.3)#63101.64(+29.7)#3,561
64.Northville130.4397.12(+33.3)#64101.64(+28.8)#3,701
65.Enemy Swim130.3097.12(+33.2)#65101.64(+28.7)#3,715
66.Erwin129.4197.12(+32.3)#66101.64(+27.8)#3,868
67.Manderson White Horse Creek128.1197.12(+31.0)#67101.64(+26.5)#4,106
68.Eden127.6397.12(+30.5)#68101.64(+26.0)#4,211
69.Horse Creek127.4797.12(+30.4)#69101.64(+25.8)#4,234
70.Milltown127.2797.12(+30.2)#70101.64(+25.6)#4,282
71.Eureka126.9397.12(+29.8)#71101.64(+25.3)#4,349
72.Murdo126.2497.12(+29.1)#72101.64(+24.6)#4,469
73.Britton125.6697.12(+28.5)#73101.64(+24.0)#4,574
74.Nunda125.0097.12(+27.9)#74101.64(+23.4)#4,718
75.Freeman123.8097.12(+26.7)#75101.64(+22.2)#5,001
76.Naples123.5397.12(+26.4)#76101.64(+21.9)#5,062
77.Nisland123.3697.12(+26.2)#77101.64(+21.7)#5,099
78.Renner Corner122.4197.12(+25.3)#78101.64(+20.8)#5,352
79.Lead121.7097.12(+24.6)#79101.64(+20.1)#5,539
80.North Sioux City121.3697.12(+24.2)#80101.64(+19.7)#5,644
81.Garretson120.4997.12(+23.4)#81101.64(+18.8)#5,879
82.Onaka120.0097.12(+22.9)#82101.64(+18.4)#6,030
83.Milbank119.6797.12(+22.6)#83101.64(+18.0)#6,120
84.Custer118.9797.12(+21.8)#84101.64(+17.3)#6,339
85.Montrose118.9597.12(+21.8)#85101.64(+17.3)#6,351
86.Clark118.8797.12(+21.8)#86101.64(+17.2)#6,378
87.Wall118.8697.12(+21.7)#87101.64(+17.2)#6,387
88.Little Eagle118.4797.12(+21.3)#88101.64(+16.8)#6,533
89.Faulkton118.1897.12(+21.1)#89101.64(+16.5)#6,631
90.Green Valley117.8797.12(+20.8)#90101.64(+16.2)#6,768
91.Fairburn117.6597.12(+20.5)#91101.64(+16.0)#6,838
92.Pine Lakes Addition117.5697.12(+20.4)#92101.64(+15.9)#6,873
93.Colton117.2397.12(+20.1)#93101.64(+15.6)#6,979
94.Harrold117.0297.12(+19.9)#94101.64(+15.4)#7,057
95.Willow Lake115.5797.12(+18.4)#95101.64(+13.9)#7,588
96.Florence115.1197.12(+18.0)#96101.64(+13.5)#7,769
97.North Spearfish115.0197.12(+17.9)#97101.64(+13.4)#7,802
98.Menno114.6797.12(+17.5)#98101.64(+13.0)#7,952
99.Wessington Springs113.9697.12(+16.8)#99101.64(+12.3)#8,240
100.Flandreau113.9097.12(+16.8)#100101.64(+12.3)#8,260

Common Questions

What are the Top 10 Cities with the Highest Female / Male Ratio in South Dakota?
Top 10 Cities with the Highest Female / Male Ratio in South Dakota are:
#1
2,100.00
#2
633.33
#3
485.71
#4
468.75
#5
377.78
#6
365.00
#7
300.00
#8
300.00
#9
275.00
#10
229.41
What city has the Highest Female / Male Ratio in South Dakota?
Ferney has the Highest Female / Male Ratio in South Dakota with 2,100.00.
What is the Famale to Male Ratio in the State of South Dakota?
Famale to Male Ratio in South Dakota is 97.12.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.