Zip Codes with the Highest Male / Female Ratio in Florida

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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
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 Male / Female Ratio in Florida

0.00
2,000.00
Zip Codes with the Highest Male / Female Ratio in Florida Map

Zip Codes with the Highest Male / Female Ratio in Florida

Zip Code Males / 100 Females vs State vs National
1.323561,875.0096.90(+1.78k)#198.38(+1.78k)#26
2.341411,380.0096.90(+1.28k)#298.38(+1.28k)#43
3.320611,080.0096.90(+983)#398.38(+982)#53
4.32970641.1896.90(+544)#498.38(+543)#110
5.32228558.8296.90(+462)#598.38(+460)#134
6.32511472.5096.90(+376)#698.38(+374)#169
7.34268374.7796.90(+278)#798.38(+276)#222
8.33930310.3396.90(+213)#898.38(+212)#302
9.33493303.7796.90(+207)#998.38(+205)#317
10.32445264.8096.90(+168)#1098.38(+166)#398
11.32083252.8096.90(+156)#1198.38(+154)#428
12.32681246.9996.90(+150)#1298.38(+149)#447
13.32508216.2096.90(+119)#1398.38(+118)#615
14.32212207.3996.90(+110)#1498.38(+109)#679
15.32460201.2196.90(+104)#1598.38(+103)#732
16.32628198.6396.90(+102)#1698.38(+100)#772
17.32322197.2096.90(+100)#1798.38(+98.8)#795
18.32227183.8596.90(+87.0)#1898.38(+85.5)#960
19.32465183.7696.90(+86.9)#1998.38(+85.4)#962
20.32052181.2896.90(+84.4)#2098.38(+82.9)#1,005
21.32071175.8496.90(+78.9)#2198.38(+77.5)#1,102
22.33849175.2996.90(+78.4)#2298.38(+76.9)#1,113
23.33855168.0996.90(+71.2)#2398.38(+69.7)#1,259
24.32542167.4896.90(+70.6)#2498.38(+69.1)#1,272
25.33834165.3596.90(+68.5)#2598.38(+67.0)#1,314
26.32066164.8396.90(+67.9)#2698.38(+66.4)#1,333
27.34250164.7196.90(+67.8)#2798.38(+66.3)#1,337
28.32124162.4696.90(+65.6)#2898.38(+64.1)#1,393
29.32348157.1696.90(+60.3)#2998.38(+58.8)#1,541
30.32730156.5096.90(+59.6)#3098.38(+58.1)#1,574
31.33301154.7696.90(+57.9)#3198.38(+56.4)#1,642
32.32202154.6096.90(+57.7)#3298.38(+56.2)#1,646
33.32337153.1296.90(+56.2)#3398.38(+54.7)#1,690
34.32440151.5096.90(+54.6)#3498.38(+53.1)#1,756
35.32054150.9196.90(+54.0)#3598.38(+52.5)#1,790
36.32424150.2096.90(+53.3)#3698.38(+51.8)#1,821
37.32683150.0096.90(+53.1)#3798.38(+51.6)#1,831
38.32087148.9396.90(+52.0)#3898.38(+50.5)#1,896
39.33471148.4996.90(+51.6)#3998.38(+50.1)#1,918
40.33132147.9596.90(+51.1)#4098.38(+49.6)#1,946
41.34956147.3096.90(+50.4)#4198.38(+48.9)#1,985
42.32948146.7196.90(+49.8)#4298.38(+48.3)#2,010
43.32072146.6796.90(+49.8)#4398.38(+48.3)#2,016
44.34139146.5596.90(+49.7)#4498.38(+48.2)#2,021
45.32535145.3396.90(+48.4)#4598.38(+46.9)#2,083
46.32131145.1696.90(+48.3)#4698.38(+46.8)#2,090
47.32360145.0096.90(+48.1)#4798.38(+46.6)#2,100
48.32180144.0296.90(+47.1)#4898.38(+45.6)#2,148
49.32403143.7996.90(+46.9)#4998.38(+45.4)#2,159
50.33621142.2996.90(+45.4)#5098.38(+43.9)#2,247
51.32094142.0696.90(+45.2)#5198.38(+43.7)#2,259
52.33194141.9896.90(+45.1)#5298.38(+43.6)#2,265
53.32062140.9596.90(+44.0)#5398.38(+42.6)#2,339
54.34785140.9096.90(+44.0)#5498.38(+42.5)#2,343
55.32502140.3896.90(+43.5)#5598.38(+42.0)#2,378
56.32321139.5196.90(+42.6)#5698.38(+41.1)#2,445
57.33513139.0496.90(+42.1)#5798.38(+40.7)#2,475
58.33334137.6996.90(+40.8)#5898.38(+39.3)#2,578
59.33858135.8096.90(+38.9)#5998.38(+37.4)#2,769
60.33305135.7396.90(+38.8)#6098.38(+37.4)#2,776
61.34972134.8596.90(+38.0)#6198.38(+36.5)#2,869
62.32583132.7196.90(+35.8)#6298.38(+34.3)#3,105
63.32058132.6896.90(+35.8)#6398.38(+34.3)#3,106
64.32340132.6496.90(+35.7)#6498.38(+34.3)#3,108
65.33944132.5096.90(+35.6)#6598.38(+34.1)#3,126
66.32324131.3596.90(+34.5)#6698.38(+33.0)#3,238
67.32420131.2096.90(+34.3)#6798.38(+32.8)#3,254
68.33982130.7596.90(+33.9)#6898.38(+32.4)#3,317
69.32925129.4396.90(+32.5)#6998.38(+31.0)#3,476
70.33128129.2596.90(+32.4)#7098.38(+30.9)#3,499
71.34138129.1696.90(+32.3)#7198.38(+30.8)#3,512
72.32820128.8996.90(+32.0)#7298.38(+30.5)#3,537
73.33868128.7896.90(+31.9)#7398.38(+30.4)#3,550
74.34266128.6096.90(+31.7)#7498.38(+30.2)#3,570
75.34679128.5796.90(+31.7)#7598.38(+30.2)#3,580
76.34737128.3996.90(+31.5)#7698.38(+30.0)#3,613
77.32327128.2896.90(+31.4)#7798.38(+29.9)#3,632
78.33847128.0596.90(+31.2)#7898.38(+29.7)#3,669
79.33574127.7296.90(+30.8)#7998.38(+29.3)#3,724
80.32776126.5596.90(+29.7)#8098.38(+28.2)#3,894
81.32157125.7796.90(+28.9)#8198.38(+27.4)#4,003
82.33760124.4896.90(+27.6)#8298.38(+26.1)#4,223
83.32667123.5296.90(+26.6)#8398.38(+25.1)#4,399
84.32428123.2196.90(+26.3)#8498.38(+24.8)#4,435
85.33527123.1996.90(+26.3)#8598.38(+24.8)#4,438
86.33122122.9896.90(+26.1)#8698.38(+24.6)#4,484
87.33935122.7296.90(+25.8)#8798.38(+24.3)#4,544
88.32410122.7096.90(+25.8)#8898.38(+24.3)#4,546
89.32433122.6696.90(+25.8)#8998.38(+24.3)#4,556
90.34449122.5796.90(+25.7)#9098.38(+24.2)#4,570
91.33592122.1796.90(+25.3)#9198.38(+23.8)#4,650
92.33036122.0996.90(+25.2)#9298.38(+23.7)#4,661
93.32438121.8396.90(+24.9)#9398.38(+23.4)#4,718
94.32425121.7896.90(+24.9)#9498.38(+23.4)#4,733
95.32658121.2596.90(+24.4)#9598.38(+22.9)#4,855
96.33130120.6096.90(+23.7)#9698.38(+22.2)#5,001
97.33890120.1496.90(+23.2)#9798.38(+21.8)#5,106
98.32832119.9496.90(+23.0)#9898.38(+21.6)#5,156
99.33304119.6396.90(+22.7)#9998.38(+21.2)#5,240
100.33765119.6196.90(+22.7)#10098.38(+21.2)#5,245

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Florida?
Top 10 Zip Codes with the Highest Male / Female Ratio in Florida are:
#1
1,875.00
#2
1,380.00
#3
1,080.00
#4
641.18
#5
558.82
#6
472.50
#7
374.77
#8
310.33
#9
303.77
#10
264.80
What zip code has the Highest Male / Female Ratio in Florida?
32356 has the Highest Male / Female Ratio in Florida with 1,875.00.
What is the Male to Female Ratio in the State of Florida?
Male to Female Ratio in Florida is 96.90.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.