Zip Codes 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 Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female / Male Ratio in South Dakota

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

Zip Codes with the Highest Female / Male Ratio in South Dakota

Zip Code Females / 100 Males vs State vs National
1.574392,100.0097.12(+2.00k)#1101.64(+2.00k)#6
2.57562605.8897.12(+509)#2101.64(+504)#46
3.57354275.0097.12(+178)#3101.64(+173)#170
4.57779256.0097.12(+159)#4101.64(+154)#202
5.57758233.3397.12(+136)#5101.64(+132)#258
6.57782200.0097.12(+103)#6101.64(+98.4)#405
7.57421200.0097.12(+103)#7101.64(+98.4)#406
8.57788193.4897.12(+96.4)#8101.64(+91.8)#446
9.57799183.9297.12(+86.8)#9101.64(+82.3)#528
10.57197183.2097.12(+86.1)#10101.64(+81.6)#537
11.57341180.7797.12(+83.6)#11101.64(+79.1)#559
12.57337177.2797.12(+80.2)#12101.64(+75.6)#588
13.57574171.7997.12(+74.7)#13101.64(+70.2)#653
14.57755170.8397.12(+73.7)#14101.64(+69.2)#665
15.57335163.9597.12(+66.8)#15101.64(+62.3)#767
16.57737161.1197.12(+64.0)#16101.64(+59.5)#817
17.57057156.9697.12(+59.8)#17101.64(+55.3)#901
18.57446151.2097.12(+54.1)#18101.64(+49.6)#1,035
19.57455142.5997.12(+45.5)#19101.64(+41.0)#1,332
20.57243141.1097.12(+44.0)#20101.64(+39.5)#1,396
21.57452140.5997.12(+43.5)#21101.64(+39.0)#1,422
22.57434138.9297.12(+41.8)#22101.64(+37.3)#1,501
23.57429136.6797.12(+39.5)#23101.64(+35.0)#1,610
24.57766136.5497.12(+39.4)#24101.64(+34.9)#1,620
25.57577136.4297.12(+39.3)#25101.64(+34.8)#1,628
26.57725135.5897.12(+38.5)#26101.64(+33.9)#1,677
27.57323135.5697.12(+38.4)#27101.64(+33.9)#1,682
28.57559134.2797.12(+37.1)#28101.64(+32.6)#1,746
29.57567132.8897.12(+35.8)#29101.64(+31.2)#1,858
30.57756130.8597.12(+33.7)#30101.64(+29.2)#2,024
31.57232128.8197.12(+31.7)#31101.64(+27.2)#2,216
32.57543128.6997.12(+31.6)#32101.64(+27.0)#2,228
33.57537128.0797.12(+30.9)#33101.64(+26.4)#2,312
34.57752126.8897.12(+29.8)#34101.64(+25.2)#2,449
35.57272126.0997.12(+29.0)#35101.64(+24.4)#2,534
36.57473125.0097.12(+27.9)#36101.64(+23.4)#2,676
37.57436124.6597.12(+27.5)#37101.64(+23.0)#2,729
38.57762122.8497.12(+25.7)#38101.64(+21.2)#3,001
39.57437122.6397.12(+25.5)#39101.64(+21.0)#3,042
40.57714122.4897.12(+25.4)#40101.64(+20.8)#3,071
41.57213120.7497.12(+23.6)#41101.64(+19.1)#3,427
42.57622120.4797.12(+23.4)#42101.64(+18.8)#3,489
43.57540118.9297.12(+21.8)#43101.64(+17.3)#3,833
44.57750118.8997.12(+21.8)#44101.64(+17.2)#3,840
45.57438118.1497.12(+21.0)#45101.64(+16.5)#4,056
46.57034118.0597.12(+20.9)#46101.64(+16.4)#4,079
47.57261117.6597.12(+20.5)#47101.64(+16.0)#4,184
48.57380116.6597.12(+19.5)#48101.64(+15.0)#4,498
49.57465116.5897.12(+19.5)#49101.64(+14.9)#4,525
50.57059116.3897.12(+19.3)#50101.64(+14.7)#4,589
51.57063116.3097.12(+19.2)#51101.64(+14.7)#4,610
52.57790115.6397.12(+18.5)#52101.64(+14.0)#4,828
53.57424115.4997.12(+18.4)#53101.64(+13.9)#4,876
54.57639115.1597.12(+18.0)#54101.64(+13.5)#5,014
55.57449114.8497.12(+17.7)#55101.64(+13.2)#5,126
56.57053114.2497.12(+17.1)#56101.64(+12.6)#5,366
57.57330113.2397.12(+16.1)#57101.64(+11.6)#5,772
58.57037113.1197.12(+16.0)#58101.64(+11.5)#5,827
59.57381113.0097.12(+15.9)#59101.64(+11.4)#5,873
60.57255112.9697.12(+15.8)#60101.64(+11.3)#5,898
61.57623112.5997.12(+15.5)#61101.64(+10.9)#6,074
62.57576112.2097.12(+15.1)#62101.64(+10.6)#6,286
63.57214112.0597.12(+14.9)#63101.64(+10.4)#6,343
64.57528111.6997.12(+14.6)#64101.64(+10.0)#6,524
65.57730111.3197.12(+14.2)#65101.64(+9.67)#6,706
66.57579111.3097.12(+14.2)#66101.64(+9.66)#6,709
67.57270111.1497.12(+14.0)#67101.64(+9.50)#6,794
68.57273109.4697.12(+12.3)#68101.64(+7.82)#7,828
69.57754109.3497.12(+12.2)#69101.64(+7.70)#7,907
70.57440109.0997.12(+12.0)#70101.64(+7.45)#8,083
71.57108109.0297.12(+11.9)#71101.64(+7.38)#8,141
72.57312109.0197.12(+11.9)#72101.64(+7.36)#8,152
73.57791108.9797.12(+11.9)#73101.64(+7.33)#8,178
74.57048108.8497.12(+11.7)#74101.64(+7.20)#8,274
75.57646108.5997.12(+11.5)#75101.64(+6.95)#8,437
76.57379108.5797.12(+11.4)#76101.64(+6.93)#8,455
77.57328108.3597.12(+11.2)#77101.64(+6.71)#8,613
78.57265108.1697.12(+11.0)#78101.64(+6.52)#8,756
79.57007107.9197.12(+10.8)#79101.64(+6.27)#8,954
80.57332107.8697.12(+10.7)#80101.64(+6.22)#8,989
81.57585107.5597.12(+10.4)#81101.64(+5.90)#9,241
82.57029107.4897.12(+10.4)#82101.64(+5.84)#9,302
83.57070107.2997.12(+10.2)#83101.64(+5.65)#9,449
84.57061107.1497.12(+10.0)#84101.64(+5.50)#9,582
85.57246107.1497.12(+10.0)#85101.64(+5.50)#9,583
86.57028107.0097.12(+9.88)#86101.64(+5.36)#9,710
87.57252106.9697.12(+9.84)#87101.64(+5.32)#9,743
88.57533106.9597.12(+9.83)#88101.64(+5.31)#9,750
89.57571106.6797.12(+9.54)#89101.64(+5.02)#9,995
90.57634106.5897.12(+9.46)#90101.64(+4.94)#10,068
91.57466106.5297.12(+9.40)#91101.64(+4.88)#10,125
92.57660106.5297.12(+9.40)#92101.64(+4.88)#10,127
93.57038105.8797.12(+8.75)#93101.64(+4.23)#10,703
94.57013105.7597.12(+8.62)#94101.64(+4.10)#10,829
95.57350105.5297.12(+8.40)#95101.64(+3.88)#11,040
96.57456105.4997.12(+8.37)#96101.64(+3.85)#11,066
97.57055105.4897.12(+8.36)#97101.64(+3.84)#11,074
98.57334105.3397.12(+8.21)#98101.64(+3.69)#11,218
99.57551105.2297.12(+8.09)#99101.64(+3.57)#11,315
100.57770104.9797.12(+7.85)#100101.64(+3.33)#11,542

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in South Dakota?
Top 10 Zip Codes with the Highest Female / Male Ratio in South Dakota are:
#1
2,100.00
#2
605.88
#3
275.00
#4
256.00
#5
233.33
#6
200.00
#7
200.00
#8
193.48
#9
183.92
#10
183.20
What zip code has the Highest Female / Male Ratio in South Dakota?
57439 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.