Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida

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Highest Poverty | Girls 0-16
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
Altamonte 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 SpringsTitusvilleValricoVeniceVero BeachWesley ChapelWest Palm BeachWewahitchkaWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida

Zip Code Child Poverty (Girls) vs State vs National
1.33930100.0%17.8%(+82.2)#117.0%(+83.0)#33
2.33848100.0%17.8%(+82.2)#217.0%(+83.0)#106
3.33854100.0%17.8%(+82.2)#317.0%(+83.0)#134
4.32658100.0%17.8%(+82.2)#417.0%(+83.0)#177
5.32355100.0%17.8%(+82.2)#517.0%(+83.0)#207
6.32463100.0%17.8%(+82.2)#617.0%(+83.0)#305
7.3448185.6%17.8%(+67.8)#717.0%(+68.6)#488
8.3264883.6%17.8%(+65.8)#817.0%(+66.6)#519
9.3269783.3%17.8%(+65.5)#917.0%(+66.4)#526
10.3220279.9%17.8%(+62.1)#1017.0%(+62.9)#598
11.3215774.7%17.8%(+56.9)#1117.0%(+57.7)#712
12.3244373.3%17.8%(+55.5)#1217.0%(+56.4)#747
13.3447572.9%17.8%(+55.1)#1317.0%(+56.0)#762
14.3386571.6%17.8%(+53.7)#1417.0%(+54.6)#795
15.3243871.1%17.8%(+53.3)#1517.0%(+54.1)#813
16.3443671.0%17.8%(+53.2)#1617.0%(+54.0)#815
17.3242670.4%17.8%(+52.6)#1717.0%(+53.4)#831
18.3478569.5%17.8%(+51.7)#1817.0%(+52.5)#860
19.3449866.0%17.8%(+48.2)#1917.0%(+49.1)#990
20.3232265.1%17.8%(+47.3)#2017.0%(+48.1)#1,027
21.3211263.5%17.8%(+45.7)#2117.0%(+46.5)#1,095
22.3244963.0%17.8%(+45.2)#2217.0%(+46.0)#1,116
23.3495062.9%17.8%(+45.1)#2317.0%(+45.9)#1,122
24.3347161.7%17.8%(+43.9)#2417.0%(+44.7)#1,175
25.3494761.0%17.8%(+43.2)#2517.0%(+44.1)#1,204
26.3343860.9%17.8%(+43.1)#2617.0%(+43.9)#1,216
27.3387359.9%17.8%(+42.1)#2717.0%(+43.0)#1,275
28.3353859.7%17.8%(+41.9)#2817.0%(+42.7)#1,285
29.3460759.5%17.8%(+41.7)#2917.0%(+42.5)#1,301
30.3495659.2%17.8%(+41.4)#3017.0%(+42.2)#1,318
31.3235157.9%17.8%(+40.1)#3117.0%(+41.0)#1,411
32.3313655.0%17.8%(+37.2)#3217.0%(+38.1)#1,611
33.3280154.8%17.8%(+37.0)#3317.0%(+37.8)#1,636
34.3207153.5%17.8%(+35.7)#3417.0%(+36.5)#1,729
35.3397353.2%17.8%(+35.3)#3517.0%(+36.2)#1,757
36.3303052.9%17.8%(+35.1)#3617.0%(+35.9)#1,785
37.3210252.6%17.8%(+34.7)#3717.0%(+35.6)#1,813
38.3214852.5%17.8%(+34.7)#3817.0%(+35.5)#1,816
39.3426652.3%17.8%(+34.5)#3917.0%(+35.3)#1,842
40.3442851.2%17.8%(+33.4)#4017.0%(+34.2)#1,952
41.3303450.1%17.8%(+32.3)#4117.0%(+33.1)#2,031
42.3206250.0%17.8%(+32.2)#4217.0%(+33.0)#2,041
43.3220648.9%17.8%(+31.1)#4317.0%(+31.9)#2,191
44.3235248.9%17.8%(+31.1)#4417.0%(+31.9)#2,193
45.3205348.8%17.8%(+31.0)#4517.0%(+31.8)#2,206
46.3244548.2%17.8%(+30.4)#4617.0%(+31.2)#2,261
47.3380547.8%17.8%(+30.0)#4717.0%(+30.8)#2,304
48.3262547.7%17.8%(+29.9)#4817.0%(+30.8)#2,308
49.3243747.4%17.8%(+29.6)#4917.0%(+30.4)#2,344
50.3444847.4%17.8%(+29.5)#5017.0%(+30.4)#2,351
51.3253547.2%17.8%(+29.4)#5117.0%(+30.3)#2,357
52.3387046.6%17.8%(+28.8)#5217.0%(+29.6)#2,437
53.3220945.8%17.8%(+28.0)#5317.0%(+28.9)#2,509
54.3361345.4%17.8%(+27.5)#5417.0%(+28.4)#2,569
55.3218145.3%17.8%(+27.5)#5517.0%(+28.3)#2,570
56.3220845.1%17.8%(+27.3)#5617.0%(+28.1)#2,598
57.3225444.7%17.8%(+26.9)#5717.0%(+27.7)#2,637
58.3423443.9%17.8%(+26.1)#5817.0%(+26.9)#2,744
59.3268643.7%17.8%(+25.8)#5917.0%(+26.7)#2,786
60.3315043.6%17.8%(+25.8)#6017.0%(+26.6)#2,797
61.3361243.6%17.8%(+25.7)#6117.0%(+26.6)#2,802
62.3262243.5%17.8%(+25.7)#6217.0%(+26.6)#2,803
63.3242743.5%17.8%(+25.7)#6317.0%(+26.6)#2,804
64.3264143.0%17.8%(+25.2)#6417.0%(+26.0)#2,876
65.3253442.8%17.8%(+25.0)#6517.0%(+25.8)#2,928
66.3243342.6%17.8%(+24.8)#6617.0%(+25.6)#2,943
67.3204042.6%17.8%(+24.8)#6717.0%(+25.6)#2,946
68.3295042.5%17.8%(+24.6)#6817.0%(+25.5)#2,970
69.3215942.3%17.8%(+24.5)#6917.0%(+25.4)#2,984
70.3349342.0%17.8%(+24.2)#7017.0%(+25.0)#3,040
71.3282641.8%17.8%(+24.0)#7117.0%(+24.9)#3,058
72.3331141.6%17.8%(+23.8)#7217.0%(+24.6)#3,093
73.3232841.3%17.8%(+23.5)#7317.0%(+24.3)#3,136
74.3211441.3%17.8%(+23.5)#7417.0%(+24.3)#3,137
75.3384141.2%17.8%(+23.4)#7517.0%(+24.2)#3,166
76.3393541.1%17.8%(+23.3)#7617.0%(+24.1)#3,174
77.3360541.1%17.8%(+23.3)#7717.0%(+24.1)#3,177
78.3234441.0%17.8%(+23.1)#7817.0%(+24.0)#3,205
79.3250540.5%17.8%(+22.7)#7917.0%(+23.5)#3,285
80.3250140.4%17.8%(+22.6)#8017.0%(+23.4)#3,301
81.3206639.8%17.8%(+22.0)#8117.0%(+22.9)#3,398
82.3234039.7%17.8%(+21.8)#8217.0%(+22.7)#3,435
83.3230139.6%17.8%(+21.8)#8317.0%(+22.7)#3,441
84.3380139.6%17.8%(+21.8)#8417.0%(+22.6)#3,445
85.3389039.6%17.8%(+21.8)#8517.0%(+22.6)#3,447
86.3384339.4%17.8%(+21.6)#8617.0%(+22.4)#3,476
87.3301339.2%17.8%(+21.4)#8717.0%(+22.3)#3,504
88.3343039.1%17.8%(+21.3)#8817.0%(+22.1)#3,529
89.3280939.1%17.8%(+21.3)#8917.0%(+22.1)#3,532
90.3340739.0%17.8%(+21.2)#9017.0%(+22.0)#3,546
91.3230438.9%17.8%(+21.1)#9117.0%(+21.9)#3,561
92.3347638.6%17.8%(+20.7)#9217.0%(+21.6)#3,619
93.3300438.3%17.8%(+20.5)#9317.0%(+21.3)#3,669
94.3266838.3%17.8%(+20.5)#9417.0%(+21.3)#3,672
95.3331638.0%17.8%(+20.2)#9517.0%(+21.0)#3,718
96.3356338.0%17.8%(+20.2)#9617.0%(+21.0)#3,720
97.3312737.9%17.8%(+20.1)#9717.0%(+21.0)#3,739
98.3219337.9%17.8%(+20.1)#9817.0%(+21.0)#3,742
99.3232137.7%17.8%(+19.9)#9917.0%(+20.7)#3,785
100.3474137.4%17.8%(+19.6)#10017.0%(+20.5)#3,846

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
85.6%
#8
83.6%
#9
83.3%
#10
79.9%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida?
33930 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Florida with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Florida?
Poverty Level Among Girls Under the Age of 16 in Florida is 17.8%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.