Zip Codes with the Highest Female / Male Ratio in Florida

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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
Florida
States
Florida Cities
AlachuaAltamonte SpringsApopkaArcadiaBoca RatonBonita SpringsBoynton BeachBradentonBrandonBrooksvilleCape CoralCasselberryClearwaterClermontCocoaCoral SpringsCrestviewCrystal RiverDade CityDavenportDaytona BeachDeerfield BeachDefuniak SpringsDelandDelray BeachDeltonaDunnellonEdgewaterEnglewoodEustisFort LauderdaleFort MyersFort PierceFort Walton BeachGainesvilleGulf BreezeHialeahHolidayHollywoodHomesteadHomosassaHudsonInvernessJacksonvilleJupiterKissimmeeLake CityLake WalesLake WorthLakelandLand O LakesLargoLeesburgLehigh AcresLive OakLongwoodLutzMariannaMelbourneMerritt IslandMiamiMiami BeachMiltonNaplesNew Port RicheyNew Smyrna BeachNorth Fort MyersNorth PortOcalaOkeechobeeOpa LockaOrange ParkOrlandoOrmond BeachOviedoPalm BayPalm Beach GardensPalm CoastPalm HarborPanama CityPanama City BeachPensacolaPerryPinellas ParkPlant CityPompano BeachPort CharlottePort OrangePort Saint LuciePunta GordaQuincyRiverviewSaint AugustineSaint CloudSaint PetersburgSanfordSarasotaSebastianSebringSeminoleSpring HillStuartTallahasseeTampaTarpon SpringsThe VillagesTitusvilleValricoVeniceVero BeachWesley ChapelWest Palm BeachWewahitchkaWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

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

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Zip Codes with the Highest Female / Male Ratio in Florida Map

Zip Codes with the Highest Female / Male Ratio in Florida

Zip Code Females / 100 Males vs State vs National
1.33877340.98103.20(+238)#1101.64(+239)#109
2.34661309.84103.20(+207)#2101.64(+208)#132
3.32307301.17103.20(+198)#3101.64(+200)#139
4.32692252.00103.20(+149)#4101.64(+150)#214
5.33848196.76103.20(+93.6)#5101.64(+95.1)#427
6.32306193.55103.20(+90.3)#6101.64(+91.9)#445
7.34140192.45103.20(+89.3)#7101.64(+90.8)#460
8.32648174.78103.20(+71.6)#8101.64(+73.1)#619
9.32193169.06103.20(+65.9)#9101.64(+67.4)#690
10.32013165.91103.20(+62.7)#10101.64(+64.3)#737
11.34289164.04103.20(+60.8)#11101.64(+62.4)#763
12.32139158.50103.20(+55.3)#12101.64(+56.9)#870
13.33851156.62103.20(+53.4)#13101.64(+55.0)#908
14.34484156.29103.20(+53.1)#14101.64(+54.7)#913
15.34137156.25103.20(+53.0)#15101.64(+54.6)#915
16.33620155.79103.20(+52.6)#16101.64(+54.1)#926
17.32079153.76103.20(+50.6)#17101.64(+52.1)#970
18.34760152.71103.20(+49.5)#18101.64(+51.1)#992
19.32612148.80103.20(+45.6)#19101.64(+47.2)#1,114
20.32323147.62103.20(+44.4)#20101.64(+46.0)#1,156
21.32616146.00103.20(+42.8)#21101.64(+44.4)#1,209
22.32664145.69103.20(+42.5)#22101.64(+44.0)#1,223
23.34762141.67103.20(+38.5)#23101.64(+40.0)#1,376
24.32343139.58103.20(+36.4)#24101.64(+37.9)#1,475
25.32361139.52103.20(+36.3)#25101.64(+37.9)#1,478
26.34216133.33103.20(+30.1)#26101.64(+31.7)#1,817
27.32615131.71103.20(+28.5)#27101.64(+30.1)#1,951
28.33585131.51103.20(+28.3)#28101.64(+29.9)#1,971
29.32133130.91103.20(+27.7)#29101.64(+29.3)#2,018
30.33573130.57103.20(+27.4)#30101.64(+28.9)#2,049
31.34476130.46103.20(+27.3)#31101.64(+28.8)#2,065
32.33431128.84103.20(+25.6)#32101.64(+27.2)#2,210
33.32448128.71103.20(+25.5)#33101.64(+27.1)#2,227
34.33146128.67103.20(+25.5)#34101.64(+27.0)#2,233
35.34285128.35103.20(+25.1)#35101.64(+26.7)#2,274
36.33066128.23103.20(+25.0)#36101.64(+26.6)#2,289
37.32308128.21103.20(+25.0)#37101.64(+26.6)#2,290
38.33711127.42103.20(+24.2)#38101.64(+25.8)#2,381
39.32618126.75103.20(+23.6)#39101.64(+25.1)#2,461
40.33321126.62103.20(+23.4)#40101.64(+25.0)#2,478
41.33434126.40103.20(+23.2)#41101.64(+24.8)#2,505
42.32351126.15103.20(+22.9)#42101.64(+24.5)#2,527
43.32967125.44103.20(+22.2)#43101.64(+23.8)#2,620
44.33433125.22103.20(+22.0)#44101.64(+23.6)#2,648
45.32908125.06103.20(+21.9)#45101.64(+23.4)#2,667
46.32310124.93103.20(+21.7)#46101.64(+23.3)#2,695
47.32190124.56103.20(+21.4)#47101.64(+22.9)#2,742
48.33154124.40103.20(+21.2)#48101.64(+22.8)#2,759
49.33051124.14103.20(+20.9)#49101.64(+22.5)#2,801
50.33865123.77103.20(+20.6)#50101.64(+22.1)#2,860
51.32626123.70103.20(+20.5)#51101.64(+22.1)#2,868
52.33484123.64103.20(+20.4)#52101.64(+22.0)#2,873
53.33542123.55103.20(+20.4)#53101.64(+21.9)#2,886
54.34103123.48103.20(+20.3)#54101.64(+21.8)#2,902
55.32141123.43103.20(+20.2)#55101.64(+21.8)#2,913
56.33965123.38103.20(+20.2)#56101.64(+21.7)#2,920
57.32330123.30103.20(+20.1)#57101.64(+21.7)#2,929
58.32208122.82103.20(+19.6)#58101.64(+21.2)#3,007
59.32462122.75103.20(+19.5)#59101.64(+21.1)#3,017
60.32463122.54103.20(+19.3)#60101.64(+20.9)#3,058
61.32301122.51103.20(+19.3)#61101.64(+20.9)#3,062
62.32220121.98103.20(+18.8)#62101.64(+20.3)#3,172
63.34684121.83103.20(+18.6)#63101.64(+20.2)#3,206
64.33921121.34103.20(+18.1)#64101.64(+19.7)#3,305
65.32442121.03103.20(+17.8)#65101.64(+19.4)#3,374
66.32046121.02103.20(+17.8)#66101.64(+19.4)#3,375
67.33908120.91103.20(+17.7)#67101.64(+19.3)#3,393
68.33496120.87103.20(+17.7)#68101.64(+19.2)#3,400
69.32140120.84103.20(+17.6)#69101.64(+19.2)#3,406
70.33712120.84103.20(+17.6)#70101.64(+19.2)#3,409
71.33578120.81103.20(+17.6)#71101.64(+19.2)#3,416
72.33480120.63103.20(+17.4)#72101.64(+19.0)#3,453
73.34110120.41103.20(+17.2)#73101.64(+18.8)#3,504
74.34450120.18103.20(+17.0)#74101.64(+18.5)#3,552
75.32601119.81103.20(+16.6)#75101.64(+18.2)#3,625
76.34601119.77103.20(+16.6)#76101.64(+18.1)#3,637
77.34234119.68103.20(+16.5)#77101.64(+18.0)#3,657
78.33477119.67103.20(+16.5)#78101.64(+18.0)#3,660
79.33311119.63103.20(+16.4)#79101.64(+18.0)#3,670
80.33835119.23103.20(+16.0)#80101.64(+17.6)#3,760
81.34119119.22103.20(+16.0)#81101.64(+17.6)#3,762
82.33035119.19103.20(+16.0)#82101.64(+17.6)#3,769
83.33759118.97103.20(+15.8)#83101.64(+17.3)#3,824
84.33437118.86103.20(+15.7)#84101.64(+17.2)#3,849
85.33127118.76103.20(+15.6)#85101.64(+17.1)#3,868
86.33160118.74103.20(+15.5)#86101.64(+17.1)#3,879
87.32162118.72103.20(+15.5)#87101.64(+17.1)#3,884
88.33143118.61103.20(+15.4)#88101.64(+17.0)#3,918
89.33324118.56103.20(+15.4)#89101.64(+16.9)#3,932
90.32332118.53103.20(+15.3)#90101.64(+16.9)#3,937
91.33472118.45103.20(+15.3)#91101.64(+16.8)#3,958
92.33027118.26103.20(+15.1)#92101.64(+16.6)#4,020
93.33322118.22103.20(+15.0)#93101.64(+16.6)#4,026
94.33442118.16103.20(+15.0)#94101.64(+16.5)#4,053
95.32130117.91103.20(+14.7)#95101.64(+16.3)#4,112
96.32746117.75103.20(+14.5)#96101.64(+16.1)#4,158
97.32550117.61103.20(+14.4)#97101.64(+16.0)#4,189
98.33063117.58103.20(+14.4)#98101.64(+15.9)#4,201
99.33924117.57103.20(+14.4)#99101.64(+15.9)#4,204
100.32159117.52103.20(+14.3)#100101.64(+15.9)#4,230

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Florida?
Top 10 Zip Codes with the Highest Female / Male Ratio in Florida are:
#1
340.98
#2
309.84
#3
301.17
#4
252.00
#5
196.76
#6
193.55
#7
192.45
#8
174.78
#9
169.06
#10
165.91
What zip code has the Highest Female / Male Ratio in Florida?
33877 has the Highest Female / Male Ratio in Florida with 340.98.
What is the Famale to Male Ratio in the State of Florida?
Famale to Male Ratio in Florida is 103.20.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.