Zip Codes 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 Zip Codes
Comparison Subject

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

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

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

Zip Code Males / 100 Females vs State vs National
1.57346437.50102.96(+335)#198.38(+339)#185
2.57780392.31102.96(+289)#298.38(+294)#213
3.57062351.98102.96(+249)#398.38(+254)#249
4.57650333.33102.96(+230)#498.38(+235)#267
5.57251315.22102.96(+212)#598.38(+217)#294
6.57361306.38102.96(+203)#698.38(+208)#311
7.57659300.00102.96(+197)#798.38(+202)#330
8.57563287.50102.96(+185)#898.38(+189)#349
9.57640266.67102.96(+164)#998.38(+168)#391
10.57420226.32102.96(+123)#1098.38(+128)#543
11.57457214.29102.96(+111)#1198.38(+116)#632
12.57233192.05102.96(+89.1)#1298.38(+93.7)#849
13.57706191.65102.96(+88.7)#1398.38(+93.3)#856
14.57426182.35102.96(+79.4)#1498.38(+84.0)#987
15.57067177.17102.96(+74.2)#1598.38(+78.8)#1,072
16.57010176.96102.96(+74.0)#1698.38(+78.6)#1,076
17.57738171.64102.96(+68.7)#1798.38(+73.3)#1,172
18.57054170.37102.96(+67.4)#1898.38(+72.0)#1,198
19.57448167.07102.96(+64.1)#1998.38(+68.7)#1,278
20.57522162.43102.96(+59.5)#2098.38(+64.0)#1,394
21.57541162.16102.96(+59.2)#2198.38(+63.8)#1,399
22.57257157.40102.96(+54.4)#2298.38(+59.0)#1,534
23.57767157.14102.96(+54.2)#2398.38(+58.8)#1,545
24.57716156.74102.96(+53.8)#2498.38(+58.4)#1,568
25.57258153.40102.96(+50.4)#2598.38(+55.0)#1,680
26.57741152.83102.96(+49.9)#2698.38(+54.4)#1,700
27.57547152.27102.96(+49.3)#2798.38(+53.9)#1,729
28.57031148.70102.96(+45.7)#2898.38(+50.3)#1,909
29.57566146.88102.96(+43.9)#2998.38(+48.5)#2,004
30.57476145.40102.96(+42.4)#3098.38(+47.0)#2,078
31.57468145.13102.96(+42.2)#3198.38(+46.7)#2,092
32.57433144.83102.96(+41.9)#3298.38(+46.4)#2,106
33.57386144.29102.96(+41.3)#3398.38(+45.9)#2,131
34.57529144.14102.96(+41.2)#3498.38(+45.8)#2,141
35.57322142.31102.96(+39.3)#3598.38(+43.9)#2,243
36.57224140.00102.96(+37.0)#3698.38(+41.6)#2,400
37.57532139.56102.96(+36.6)#3798.38(+41.2)#2,438
38.57344139.53102.96(+36.6)#3898.38(+41.2)#2,443
39.57794139.39102.96(+36.4)#3998.38(+41.0)#2,450
40.57538138.89102.96(+35.9)#4098.38(+40.5)#2,489
41.57722138.33102.96(+35.4)#4198.38(+39.9)#2,529
42.57317138.29102.96(+35.3)#4298.38(+39.9)#2,531
43.57052138.19102.96(+35.2)#4398.38(+39.8)#2,538
44.57759138.03102.96(+35.1)#4498.38(+39.6)#2,545
45.57051137.89102.96(+34.9)#4598.38(+39.5)#2,557
46.57256137.23102.96(+34.3)#4698.38(+38.9)#2,614
47.57471137.09102.96(+34.1)#4798.38(+38.7)#2,635
48.57479136.76102.96(+33.8)#4898.38(+38.4)#2,665
49.57764136.25102.96(+33.3)#4998.38(+37.9)#2,723
50.57340135.44102.96(+32.5)#5098.38(+37.1)#2,815
51.57238135.38102.96(+32.4)#5198.38(+37.0)#2,821
52.57657134.41102.96(+31.4)#5298.38(+36.0)#2,910
53.57370133.86102.96(+30.9)#5398.38(+35.5)#2,972
54.57636133.33102.96(+30.4)#5498.38(+34.9)#3,032
55.57266133.06102.96(+30.1)#5598.38(+34.7)#3,061
56.57427132.98102.96(+30.0)#5698.38(+34.6)#3,070
57.57460132.61102.96(+29.6)#5798.38(+34.2)#3,112
58.57355131.29102.96(+28.3)#5898.38(+32.9)#3,243
59.57065131.14102.96(+28.2)#5998.38(+32.8)#3,259
60.57242130.56102.96(+27.6)#6098.38(+32.2)#3,332
61.57218129.68102.96(+26.7)#6198.38(+31.3)#3,444
62.57068129.48102.96(+26.5)#6298.38(+31.1)#3,468
63.57259128.30102.96(+25.3)#6398.38(+29.9)#3,630
64.57454127.59102.96(+24.6)#6498.38(+29.2)#3,748
65.57632127.41102.96(+24.5)#6598.38(+29.0)#3,763
66.57371127.38102.96(+24.4)#6698.38(+29.0)#3,766
67.57279127.01102.96(+24.0)#6798.38(+28.6)#3,824
68.57374126.56102.96(+23.6)#6898.38(+28.2)#3,892
69.57469126.44102.96(+23.5)#6998.38(+28.1)#3,915
70.57239126.32102.96(+23.4)#7098.38(+27.9)#3,930
71.57075125.71102.96(+22.7)#7198.38(+27.3)#4,010
72.57773125.51102.96(+22.5)#7298.38(+27.1)#4,038
73.57358125.00102.96(+22.0)#7398.38(+26.6)#4,132
74.57745124.91102.96(+21.9)#7498.38(+26.5)#4,145
75.57477124.56102.96(+21.6)#7598.38(+26.2)#4,204
76.57467124.42102.96(+21.5)#7698.38(+26.0)#4,234
77.57359124.18102.96(+21.2)#7798.38(+25.8)#4,280
78.57027122.86102.96(+19.9)#7898.38(+24.5)#4,512
79.57216122.47102.96(+19.5)#7998.38(+24.1)#4,585
80.57072122.27102.96(+19.3)#8098.38(+23.9)#4,626
81.57793122.26102.96(+19.3)#8198.38(+23.9)#4,628
82.57536121.99102.96(+19.0)#8298.38(+23.6)#4,684
83.57560121.88102.96(+18.9)#8398.38(+23.5)#4,704
84.57247121.52102.96(+18.6)#8498.38(+23.1)#4,786
85.57523121.51102.96(+18.5)#8598.38(+23.1)#4,788
86.57630121.43102.96(+18.5)#8698.38(+23.0)#4,811
87.57432121.30102.96(+18.3)#8798.38(+22.9)#4,843
88.57383120.22102.96(+17.3)#8898.38(+21.8)#5,090
89.57104120.09102.96(+17.1)#8998.38(+21.7)#5,115
90.57217119.44102.96(+16.5)#9098.38(+21.1)#5,280
91.57339119.12102.96(+16.2)#9198.38(+20.7)#5,355
92.57744118.83102.96(+15.9)#9298.38(+20.4)#5,424
93.57017118.76102.96(+15.8)#9398.38(+20.4)#5,436
94.57077118.27102.96(+15.3)#9498.38(+19.9)#5,556
95.57003118.18102.96(+15.2)#9598.38(+19.8)#5,576
96.57641117.59102.96(+14.6)#9698.38(+19.2)#5,756
97.57021117.41102.96(+14.4)#9798.38(+19.0)#5,812
98.57050117.39102.96(+14.4)#9898.38(+19.0)#5,821
99.57033117.24102.96(+14.3)#9998.38(+18.9)#5,863
100.57047117.04102.96(+14.1)#10098.38(+18.7)#5,931

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in South Dakota?
Top 10 Zip Codes with the Highest Male / Female Ratio in South Dakota are:
#1
437.50
#2
392.31
#3
351.98
#4
333.33
#5
315.22
#6
306.38
#7
300.00
#8
287.50
#9
266.67
#10
226.32
What zip code has the Highest Male / Female Ratio in South Dakota?
57346 has the Highest Male / Female Ratio in South Dakota with 437.50.
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.