Zip Codes with the Youngest Female Population in Florida

RELATED REPORTS & OPTIONS

Youngest Population | Female
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 Youngest Female Population in Florida

40.0
0.0
Zip Codes with the Youngest Female Population in Florida Map

Zip Codes with the Youngest Female Population in Florida

Zip Code Median Age vs State vs National
1.3413714.943.9(-29.0)#139.7(-24.8)#112
2.3264818.943.9(-25.0)#239.7(-20.8)#237
3.3230619.043.9(-24.9)#339.7(-20.7)#249
4.3261219.243.9(-24.7)#439.7(-20.5)#274
5.3281619.343.9(-24.6)#539.7(-20.4)#293
6.3362019.343.9(-24.6)#639.7(-20.4)#300
7.3230719.543.9(-24.4)#739.7(-20.2)#352
8.3396519.743.9(-24.2)#839.7(-20.0)#392
9.3357420.043.9(-23.9)#939.7(-19.7)#467
10.3251120.143.9(-23.8)#1039.7(-19.6)#478
11.3250820.543.9(-23.4)#1139.7(-19.2)#525
12.3260320.643.9(-23.3)#1239.7(-19.1)#542
13.3254420.643.9(-23.3)#1339.7(-19.1)#543
14.3222821.343.9(-22.6)#1439.7(-18.4)#640
15.3221221.543.9(-22.4)#1539.7(-18.2)#667
16.3230421.943.9(-22.0)#1639.7(-17.8)#715
17.3314622.243.9(-21.7)#1739.7(-17.5)#757
18.3260122.443.9(-21.5)#1839.7(-17.3)#772
19.3240322.743.9(-21.2)#1939.7(-17.0)#815
20.3222722.843.9(-21.1)#2039.7(-16.9)#826
21.3414023.343.9(-20.6)#2139.7(-16.4)#891
22.3254224.543.9(-19.4)#2239.7(-15.2)#1,002
23.3282624.843.9(-19.1)#2339.7(-14.9)#1,033
24.3360626.343.9(-17.6)#2439.7(-13.4)#1,220
25.3397326.643.9(-17.3)#2539.7(-13.1)#1,274
26.3392426.943.9(-17.0)#2639.7(-12.8)#1,344
27.3218127.043.9(-16.9)#2739.7(-12.7)#1,351
28.3260727.143.9(-16.8)#2839.7(-12.6)#1,360
29.3303427.743.9(-16.2)#2939.7(-12.0)#1,464
30.3234327.743.9(-16.2)#3039.7(-12.0)#1,470
31.3362128.143.9(-15.8)#3139.7(-11.6)#1,562
32.3312228.143.9(-15.8)#3239.7(-11.6)#1,563
33.3233028.443.9(-15.5)#3339.7(-11.3)#1,629
34.3230128.543.9(-15.4)#3439.7(-11.2)#1,648
35.3258029.043.9(-14.9)#3539.7(-10.7)#1,804
36.3292529.443.9(-14.5)#3639.7(-10.3)#1,899
37.3269729.543.9(-14.4)#3739.7(-10.2)#1,941
38.3343129.943.9(-14.0)#3839.7(-9.80)#2,058
39.3386529.943.9(-14.0)#3939.7(-9.80)#2,073
40.3260830.043.9(-13.9)#4039.7(-9.70)#2,089
41.3361330.043.9(-13.9)#4139.7(-9.70)#2,092
42.3414230.143.9(-13.8)#4239.7(-9.60)#2,128
43.3383830.443.9(-13.5)#4339.7(-9.30)#2,250
44.3389630.643.9(-13.3)#4439.7(-9.10)#2,324
45.3495630.643.9(-13.3)#4539.7(-9.10)#2,329
46.3475330.843.9(-13.1)#4639.7(-8.90)#2,418
47.3350330.843.9(-13.1)#4739.7(-8.90)#2,435
48.3281731.043.9(-12.9)#4839.7(-8.70)#2,488
49.3303031.243.9(-12.7)#4939.7(-8.50)#2,563
50.3347631.243.9(-12.7)#5039.7(-8.50)#2,577
51.3281131.443.9(-12.5)#5139.7(-8.30)#2,630
52.3227731.543.9(-12.4)#5239.7(-8.20)#2,683
53.3355931.543.9(-12.4)#5339.7(-8.20)#2,690
54.3466131.743.9(-12.2)#5439.7(-8.00)#2,828
55.3396031.843.9(-12.1)#5539.7(-7.90)#2,879
56.3230331.943.9(-12.0)#5639.7(-7.80)#2,897
57.3282131.943.9(-12.0)#5739.7(-7.80)#2,909
58.3231031.943.9(-12.0)#5839.7(-7.80)#2,911
59.3343032.343.9(-11.6)#5939.7(-7.40)#3,115
60.3281432.743.9(-11.2)#6039.7(-7.00)#3,369
61.3397432.843.9(-11.1)#6139.7(-6.90)#3,423
62.3331432.943.9(-11.0)#6239.7(-6.80)#3,493
63.3498132.943.9(-11.0)#6339.7(-6.80)#3,513
64.3303233.243.9(-10.7)#6439.7(-6.50)#3,672
65.3361733.343.9(-10.6)#6539.7(-6.40)#3,727
66.3340933.343.9(-10.6)#6639.7(-6.40)#3,739
67.3386033.443.9(-10.5)#6739.7(-6.30)#3,812
68.3208333.443.9(-10.5)#6839.7(-6.30)#3,837
69.3380133.643.9(-10.3)#6939.7(-6.10)#3,966
70.3353433.643.9(-10.3)#7039.7(-6.10)#3,977
71.3313733.743.9(-10.2)#7139.7(-6.00)#4,050
72.3313233.743.9(-10.2)#7239.7(-6.00)#4,060
73.3473433.743.9(-10.2)#7339.7(-6.00)#4,077
74.3251433.843.9(-10.1)#7439.7(-5.90)#4,109
75.3303333.943.9(-10.00)#7539.7(-5.80)#4,181
76.3283933.943.9(-10.00)#7639.7(-5.80)#4,185
77.3361033.943.9(-10.00)#7739.7(-5.80)#4,186
78.3318133.943.9(-10.00)#7839.7(-5.80)#4,208
79.3224634.143.9(-9.80)#7939.7(-5.60)#4,346
80.3361234.143.9(-9.80)#8039.7(-5.60)#4,349
81.3283534.143.9(-9.80)#8139.7(-5.60)#4,350
82.3397634.143.9(-9.80)#8239.7(-5.60)#4,378
83.3222434.243.9(-9.70)#8339.7(-5.50)#4,437
84.3224434.343.9(-9.60)#8439.7(-5.40)#4,494
85.3361934.343.9(-9.60)#8539.7(-5.40)#4,502
86.3222234.343.9(-9.60)#8639.7(-5.40)#4,521
87.3349334.343.9(-9.60)#8739.7(-5.40)#4,533
88.3280834.443.9(-9.50)#8839.7(-5.30)#4,574
89.3471434.443.9(-9.50)#8939.7(-5.30)#4,588
90.3473934.443.9(-9.50)#9039.7(-5.30)#4,628
91.3211434.543.9(-9.40)#9139.7(-5.20)#4,646
92.3253634.543.9(-9.40)#9239.7(-5.20)#4,656
93.3371634.543.9(-9.40)#9339.7(-5.20)#4,661
94.3221134.643.9(-9.30)#9439.7(-5.10)#4,732
95.3263934.643.9(-9.30)#9539.7(-5.10)#4,810
96.3411634.943.9(-9.00)#9639.7(-4.80)#4,995
97.3253934.943.9(-9.00)#9739.7(-4.80)#5,001
98.3397134.943.9(-9.00)#9839.7(-4.80)#5,005
99.3204434.943.9(-9.00)#9939.7(-4.80)#5,055
100.3474135.043.9(-8.90)#10039.7(-4.70)#5,080

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in Florida?
Top 10 Zip Codes with the Youngest Female Population in Florida are:
#1
14.9
#2
18.9
#3
19.0
#4
19.2
#5
19.3
#6
19.3
#7
19.5
#8
19.7
#9
20.0
#10
20.1
What zip code has the Youngest Female Population in Florida?
34137 has the Youngest Female Population in Florida with 14.9.
What is the Median Female Age in the State of Florida?
Median Female Age in Florida is 43.9.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.7.