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

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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 Carolina
Compare Zip Codes
Comparison Subject

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

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400.00
Zip Codes with the Highest Female / Male Ratio in South Carolina Map

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

Zip Code Females / 100 Males vs State vs National
1.29320330.34104.89(+225)#1101.64(+229)#116
2.29733300.46104.89(+196)#2101.64(+199)#140
3.29378263.33104.89(+158)#3101.64(+162)#191
4.29594216.22104.89(+111)#4101.64(+115)#330
5.29333211.11104.89(+106)#5101.64(+109)#345
6.29104193.39104.89(+88.5)#6101.64(+91.7)#447
7.29519179.00104.89(+74.1)#7101.64(+77.4)#573
8.29208174.16104.89(+69.3)#8101.64(+72.5)#624
9.29052170.34104.89(+65.4)#9101.64(+68.7)#670
10.29452170.33104.89(+65.4)#10101.64(+68.7)#671
11.29074168.75104.89(+63.9)#11101.64(+67.1)#696
12.29424167.86104.89(+63.0)#12101.64(+66.2)#701
13.29364161.50104.89(+56.6)#13101.64(+59.9)#806
14.29545154.71104.89(+49.8)#14101.64(+53.1)#948
15.29580154.50104.89(+49.6)#15101.64(+52.9)#954
16.29563147.20104.89(+42.3)#16101.64(+45.6)#1,169
17.29101142.24104.89(+37.4)#17101.64(+40.6)#1,351
18.29450141.77104.89(+36.9)#18101.64(+40.1)#1,369
19.29821141.47104.89(+36.6)#19101.64(+39.8)#1,382
20.29015141.44104.89(+36.6)#20101.64(+39.8)#1,384
21.29437140.10104.89(+35.2)#21101.64(+38.5)#1,442
22.29593138.32104.89(+33.4)#22101.64(+36.7)#1,521
23.29164137.96104.89(+33.1)#23101.64(+36.3)#1,540
24.29346135.19104.89(+30.3)#24101.64(+33.5)#1,700
25.29546133.90104.89(+29.0)#25101.64(+32.3)#1,773
26.29018133.43104.89(+28.5)#26101.64(+31.8)#1,809
27.29453132.83104.89(+27.9)#27101.64(+31.2)#1,863
28.29426132.72104.89(+27.8)#28101.64(+31.1)#1,872
29.29435132.52104.89(+27.6)#29101.64(+30.9)#1,884
30.29613131.72104.89(+26.8)#30101.64(+30.1)#1,949
31.29030129.80104.89(+24.9)#31101.64(+28.2)#2,127
32.29038129.22104.89(+24.3)#32101.64(+27.6)#2,173
33.29506128.81104.89(+23.9)#33101.64(+27.2)#2,217
34.29368128.33104.89(+23.4)#34101.64(+26.7)#2,275
35.29142128.23104.89(+23.3)#35101.64(+26.6)#2,287
36.29614127.69104.89(+22.8)#36101.64(+26.1)#2,352
37.29229127.02104.89(+22.1)#37101.64(+25.4)#2,435
38.29114126.91104.89(+22.0)#38101.64(+25.3)#2,447
39.29741126.87104.89(+22.0)#39101.64(+25.2)#2,451
40.29401126.74104.89(+21.9)#40101.64(+25.1)#2,463
41.29107126.51104.89(+21.6)#41101.64(+24.9)#2,493
42.29080124.87104.89(+20.0)#42101.64(+23.2)#2,701
43.29655124.76104.89(+19.9)#43101.64(+23.1)#2,710
44.29047124.44104.89(+19.5)#44101.64(+22.8)#2,757
45.29082124.21104.89(+19.3)#45101.64(+22.6)#2,792
46.29801123.50104.89(+18.6)#46101.64(+21.9)#2,896
47.29554123.08104.89(+18.2)#47101.64(+21.4)#2,961
48.29438122.75104.89(+17.9)#48101.64(+21.1)#3,016
49.29635122.75104.89(+17.9)#49101.64(+21.1)#3,018
50.29849122.67104.89(+17.8)#50101.64(+21.0)#3,037
51.29039122.56104.89(+17.7)#51101.64(+20.9)#3,056
52.29568121.92104.89(+17.0)#52101.64(+20.3)#3,186
53.29628121.86104.89(+17.0)#53101.64(+20.2)#3,201
54.29403121.31104.89(+16.4)#54101.64(+19.7)#3,312
55.29742120.39104.89(+15.5)#55101.64(+18.7)#3,508
56.29607120.21104.89(+15.3)#56101.64(+18.6)#3,540
57.29448120.21104.89(+15.3)#57101.64(+18.6)#3,543
58.29929120.18104.89(+15.3)#58101.64(+18.5)#3,554
59.29105119.82104.89(+14.9)#59101.64(+18.2)#3,623
60.29458119.54104.89(+14.7)#60101.64(+17.9)#3,690
61.29223119.47104.89(+14.6)#61101.64(+17.8)#3,706
62.29115119.44104.89(+14.6)#62101.64(+17.8)#3,713
63.29653119.28104.89(+14.4)#63101.64(+17.6)#3,748
64.29527118.65104.89(+13.8)#64101.64(+17.0)#3,908
65.29316118.62104.89(+13.7)#65101.64(+17.0)#3,917
66.29150118.51104.89(+13.6)#66101.64(+16.9)#3,941
67.29712118.35104.89(+13.5)#67101.64(+16.7)#3,987
68.29649118.30104.89(+13.4)#68101.64(+16.7)#4,006
69.29118118.29104.89(+13.4)#69101.64(+16.6)#4,011
70.29370117.71104.89(+12.8)#70101.64(+16.1)#4,168
71.29081117.67104.89(+12.8)#71101.64(+16.0)#4,178
72.29020117.51104.89(+12.6)#72101.64(+15.9)#4,234
73.29945117.27104.89(+12.4)#73101.64(+15.6)#4,306
74.29682117.11104.89(+12.2)#74101.64(+15.5)#4,340
75.29569117.04104.89(+12.1)#75101.64(+15.4)#4,356
76.29061116.82104.89(+11.9)#76101.64(+15.2)#4,428
77.29909116.82104.89(+11.9)#77101.64(+15.2)#4,429
78.29571116.75104.89(+11.9)#78101.64(+15.1)#4,457
79.29592116.72104.89(+11.8)#79101.64(+15.1)#4,463
80.29306116.67104.89(+11.8)#80101.64(+15.0)#4,473
81.29939116.33104.89(+11.4)#81101.64(+14.7)#4,601
82.29510116.31104.89(+11.4)#82101.64(+14.7)#4,607
83.29471116.15104.89(+11.3)#83101.64(+14.5)#4,652
84.29055116.13104.89(+11.2)#84101.64(+14.5)#4,656
85.29102115.62104.89(+10.7)#85101.64(+14.0)#4,831
86.29414115.61104.89(+10.7)#86101.64(+14.0)#4,835
87.29133115.40104.89(+10.5)#87101.64(+13.8)#4,917
88.29369115.35104.89(+10.5)#88101.64(+13.7)#4,935
89.29639115.24104.89(+10.4)#89101.64(+13.6)#4,973
90.29689115.11104.89(+10.2)#90101.64(+13.5)#5,025
91.29621114.56104.89(+9.67)#91101.64(+12.9)#5,227
92.29532114.55104.89(+9.66)#92101.64(+12.9)#5,235
93.29169114.47104.89(+9.58)#93101.64(+12.8)#5,260
94.29466114.43104.89(+9.54)#94101.64(+12.8)#5,279
95.29646114.31104.89(+9.42)#95101.64(+12.7)#5,330
96.29718114.30104.89(+9.41)#96101.64(+12.7)#5,331
97.29845114.29104.89(+9.40)#97101.64(+12.6)#5,338
98.29040114.07104.89(+9.18)#98101.64(+12.4)#5,429
99.29449114.03104.89(+9.14)#99101.64(+12.4)#5,446
100.29501113.69104.89(+8.81)#100101.64(+12.1)#5,570

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in South Carolina?
Top 10 Zip Codes with the Highest Female / Male Ratio in South Carolina are:
#1
330.34
#2
300.46
#3
263.33
#4
216.22
#5
211.11
#6
193.39
#7
179.00
#8
174.16
#9
170.34
#10
170.33
What zip code has the Highest Female / Male Ratio in South Carolina?
29320 has the Highest Female / Male Ratio in South Carolina with 330.34.
What is the Famale to Male Ratio in the State of South Carolina?
Famale to Male Ratio in South Carolina is 104.89.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.