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

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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 Carolina
Compare Zip Codes
Comparison Subject

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

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3,000.00
Zip Codes with the Highest Male / Female Ratio in South Carolina Map

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

Zip Code Males / 100 Females vs State vs National
1.299042,545.4595.34(+2.45k)#198.38(+2.45k)#20
2.294091,021.0395.34(+926)#298.38(+923)#56
3.29905551.8195.34(+456)#398.38(+453)#135
4.29373331.8295.34(+236)#498.38(+233)#269
5.29117317.2995.34(+222)#598.38(+219)#290
6.29826265.0095.34(+170)#698.38(+167)#395
7.29915232.7595.34(+137)#798.38(+134)#506
8.29324221.7495.34(+126)#898.38(+123)#570
9.29207201.1895.34(+106)#998.38(+103)#733
10.29162188.8595.34(+93.5)#1098.38(+90.5)#895
11.29516176.4795.34(+81.1)#1198.38(+78.1)#1,083
12.29163169.4695.34(+74.1)#1298.38(+71.1)#1,216
13.29824167.0395.34(+71.7)#1398.38(+68.6)#1,279
14.29329165.0095.34(+69.7)#1498.38(+66.6)#1,326
15.29827160.5695.34(+65.2)#1598.38(+62.2)#1,441
16.29838156.8395.34(+61.5)#1698.38(+58.5)#1,561
17.29918156.3695.34(+61.0)#1798.38(+58.0)#1,579
18.29943156.2295.34(+60.9)#1898.38(+57.8)#1,585
19.29631152.3395.34(+57.0)#1998.38(+53.9)#1,726
20.29177151.4395.34(+56.1)#2098.38(+53.0)#1,758
21.29152148.1395.34(+52.8)#2198.38(+49.7)#1,938
22.29922144.8495.34(+49.5)#2298.38(+46.5)#2,105
23.29816144.4795.34(+49.1)#2398.38(+46.1)#2,125
24.29335143.1495.34(+47.8)#2498.38(+44.8)#2,191
25.29377141.9495.34(+46.6)#2598.38(+43.6)#2,269
26.29932141.8895.34(+46.5)#2698.38(+43.5)#2,275
27.29166140.4595.34(+45.1)#2798.38(+42.1)#2,372
28.29843140.0895.34(+44.7)#2898.38(+41.7)#2,395
29.29487140.0495.34(+44.7)#2998.38(+41.7)#2,396
30.29840139.8795.34(+44.5)#3098.38(+41.5)#2,416
31.29067139.4695.34(+44.1)#3198.38(+41.1)#2,447
32.29847138.2395.34(+42.9)#3298.38(+39.8)#2,535
33.29472137.7395.34(+42.4)#3398.38(+39.3)#2,574
34.29481136.7495.34(+41.4)#3498.38(+38.4)#2,669
35.29685136.1595.34(+40.8)#3598.38(+37.8)#2,729
36.29355135.5895.34(+40.2)#3698.38(+37.2)#2,807
37.29665135.1795.34(+39.8)#3798.38(+36.8)#2,841
38.29590130.6695.34(+35.3)#3898.38(+32.3)#3,323
39.29727130.4695.34(+35.1)#3998.38(+32.1)#3,346
40.29332128.9495.34(+33.6)#4098.38(+30.6)#3,530
41.29122127.2795.34(+31.9)#4198.38(+28.9)#3,789
42.29601125.8595.34(+30.5)#4298.38(+27.5)#3,994
43.29834125.3495.34(+30.0)#4398.38(+27.0)#4,063
44.29469123.8895.34(+28.5)#4498.38(+25.5)#4,339
45.29540120.0795.34(+24.7)#4598.38(+21.7)#5,125
46.29128119.5895.34(+24.2)#4698.38(+21.2)#5,252
47.29819119.5095.34(+24.2)#4798.38(+21.1)#5,271
48.29518118.1695.34(+22.8)#4898.38(+19.8)#5,589
49.29935118.0495.34(+22.7)#4998.38(+19.7)#5,624
50.29404117.6595.34(+22.3)#5098.38(+19.3)#5,737
51.29530117.5095.34(+22.2)#5198.38(+19.1)#5,780
52.29944116.5195.34(+21.2)#5298.38(+18.1)#6,113
53.29376115.0595.34(+19.7)#5398.38(+16.7)#6,572
54.29683114.6195.34(+19.3)#5498.38(+16.2)#6,732
55.29439114.2995.34(+18.9)#5598.38(+15.9)#6,845
56.29704114.2895.34(+18.9)#5698.38(+15.9)#6,866
57.29010114.2595.34(+18.9)#5798.38(+15.9)#6,876
58.29058113.9795.34(+18.6)#5898.38(+15.6)#6,964
59.29125113.9095.34(+18.6)#5998.38(+15.5)#6,986
60.29512113.4395.34(+18.1)#6098.38(+15.0)#7,174
61.29048112.7195.34(+17.4)#6198.38(+14.3)#7,422
62.29654112.3595.34(+17.0)#6298.38(+14.0)#7,579
63.29468111.9595.34(+16.6)#6398.38(+13.6)#7,761
64.29581111.9495.34(+16.6)#6498.38(+13.6)#7,764
65.29848111.8795.34(+16.5)#6598.38(+13.5)#7,793
66.29138111.8095.34(+16.5)#6698.38(+13.4)#7,814
67.29916111.6595.34(+16.3)#6798.38(+13.3)#7,877
68.29684111.5595.34(+16.2)#6898.38(+13.2)#7,912
69.29375111.4395.34(+16.1)#6998.38(+13.0)#7,981
70.29475111.0895.34(+15.7)#7098.38(+12.7)#8,146
71.29374110.9195.34(+15.6)#7198.38(+12.5)#8,215
72.29696110.7495.34(+15.4)#7298.38(+12.4)#8,291
73.29729110.5195.34(+15.2)#7398.38(+12.1)#8,401
74.29927110.0695.34(+14.7)#7498.38(+11.7)#8,635
75.29046110.0095.34(+14.7)#7598.38(+11.6)#8,661
76.29923109.3895.34(+14.0)#7698.38(+11.0)#8,965
77.29570109.1895.34(+13.8)#7798.38(+10.8)#9,064
78.29168109.1395.34(+13.8)#7898.38(+10.7)#9,083
79.29575109.1295.34(+13.8)#7998.38(+10.7)#9,088
80.29451108.4895.34(+13.1)#8098.38(+10.1)#9,434
81.29686108.4595.34(+13.1)#8198.38(+10.1)#9,445
82.29941108.3395.34(+13.0)#8298.38(+9.95)#9,514
83.29445108.3295.34(+13.0)#8398.38(+9.94)#9,528
84.29153107.8595.34(+12.5)#8498.38(+9.47)#9,814
85.29920107.3295.34(+12.0)#8598.38(+8.93)#10,164
86.29676107.3095.34(+12.0)#8698.38(+8.92)#10,177
87.29934106.7995.34(+11.4)#8798.38(+8.40)#10,533
88.29432106.6695.34(+11.3)#8898.38(+8.28)#10,624
89.29175106.5295.34(+11.2)#8998.38(+8.14)#10,705
90.29078106.4595.34(+11.1)#9098.38(+8.07)#10,741
91.29851106.4295.34(+11.1)#9198.38(+8.04)#10,762
92.29112106.3195.34(+11.0)#9298.38(+7.93)#10,832
93.29657106.1695.34(+10.8)#9398.38(+7.77)#10,937
94.29201105.4195.34(+10.1)#9498.38(+7.02)#11,461
95.29673105.0095.34(+9.66)#9598.38(+6.61)#11,764
96.29567104.8795.34(+9.53)#9698.38(+6.48)#11,880
97.29921104.8295.34(+9.48)#9798.38(+6.44)#11,928
98.29666104.6195.34(+9.27)#9898.38(+6.22)#12,091
99.29664104.5095.34(+9.16)#9998.38(+6.12)#12,167
100.29456104.2295.34(+8.88)#10098.38(+5.83)#12,373

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in South Carolina?
Top 10 Zip Codes with the Highest Male / Female Ratio in South Carolina are:
#1
2,545.45
#2
1,021.03
#3
551.81
#4
331.82
#5
317.29
#6
265.00
#7
232.75
#8
221.74
#9
201.18
#10
188.85
What zip code has the Highest Male / Female Ratio in South Carolina?
29904 has the Highest Male / Female Ratio in South Carolina with 2,545.45.
What is the Male to Female Ratio in the State of South Carolina?
Male to Female Ratio in South Carolina is 95.34.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.