Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL

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Highest Poverty | Female 25-34
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Miami
States
Florida Cities
Altamonte SpringsApopkaArcadiaBoca RatonBoynton BeachBradentonBrandonBrooksvilleCape CoralCasselberryClearwaterClermontCocoaCoral SpringsCrestviewCrystal RiverDade CityDavenportDaytona BeachDeerfield BeachDefuniak SpringsDelandDelray BeachDeltonaDunnellonEdgewaterEustisFort 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 PetersburgSanfordSarasotaSebringSeminoleSpring HillStuartTallahasseeTampaTarpon SpringsTitusvilleValricoVeniceVero BeachWesley ChapelWest Palm BeachWewahitchkaWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami

1.6%
39.1%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL

Zip Code Female Poverty vs State vs National
1. 33136 39.1% 14.9% (+24.1)#58 14.5% (+24.6)#2,821
2. 33182 34.5% 14.9% (+19.6)#74 14.5% (+20.1)#3,643
3. 33150 31.7% 14.9% (+16.8)#96 14.5% (+17.2)#4,280
4. 33174 28.9% 14.9% (+13.9)#118 14.5% (+14.4)#5,054
5. 33127 22.2% 14.9% (+7.30)#202 14.5% (+7.74)#7,567
6. 33157 22.2% 14.9% (+7.28)#203 14.5% (+7.73)#7,569
7. 33142 22.0% 14.9% (+7.08)#208 14.5% (+7.53)#7,717
8. 33147 21.7% 14.9% (+6.77)#217 14.5% (+7.21)#7,850
9. 33135 21.0% 14.9% (+6.04)#232 14.5% (+6.49)#8,229
10. 33125 20.6% 14.9% (+5.62)#241 14.5% (+6.07)#8,450
11. 33166 19.9% 14.9% (+4.98)#256 14.5% (+5.43)#8,836
12. 33181 18.2% 14.9% (+3.26)#293 14.5% (+3.71)#9,840
13. 33170 17.7% 14.9% (+2.81)#313 14.5% (+3.25)#10,148
14. 33128 17.3% 14.9% (+2.35)#323 14.5% (+2.79)#10,406
15. 33167 17.1% 14.9% (+2.19)#327 14.5% (+2.64)#10,519
16. 33132 17.0% 14.9% (+2.02)#336 14.5% (+2.47)#10,633
17. 33129 16.5% 14.9% (+1.56)#351 14.5% (+2.01)#10,972
18. 33194 15.7% 14.9% (+0.778)#387 14.5% (+1.22)#11,508
19. 33161 15.6% 14.9% (+0.698)#393 14.5% (+1.14)#11,560
20. 33178 14.3% 14.9% (-0.688)#431 14.5% (-0.242)#12,553
21. 33190 14.2% 14.9% (-0.763)#434 14.5% (-0.317)#12,604
22. 33143 14.1% 14.9% (-0.870)#442 14.5% (-0.424)#12,679
23. 33137 13.9% 14.9% (-1.01)#449 14.5% (-0.566)#12,780
24. 33130 13.8% 14.9% (-1.10)#451 14.5% (-0.659)#12,844
25. 33172 13.8% 14.9% (-1.17)#454 14.5% (-0.721)#12,896
26. 33122 13.7% 14.9% (-1.24)#455 14.5% (-0.795)#12,939
27. 33180 13.6% 14.9% (-1.33)#458 14.5% (-0.886)#13,002
28. 33177 13.6% 14.9% (-1.37)#460 14.5% (-0.924)#13,036
29. 33189 13.2% 14.9% (-1.73)#473 14.5% (-1.28)#13,335
30. 33126 12.6% 14.9% (-2.35)#497 14.5% (-1.90)#13,800
31. 33162 12.0% 14.9% (-2.93)#519 14.5% (-2.48)#14,242
32. 33169 11.3% 14.9% (-3.62)#539 14.5% (-3.17)#14,820
33. 33144 10.7% 14.9% (-4.21)#563 14.5% (-3.77)#15,369
34. 33168 10.4% 14.9% (-4.51)#575 14.5% (-4.07)#15,629
35. 33183 10.2% 14.9% (-4.78)#584 14.5% (-4.33)#15,857
36. 33156 9.5% 14.9% (-5.42)#611 14.5% (-4.98)#16,462
37. 33193 9.4% 14.9% (-5.56)#616 14.5% (-5.11)#16,562
38. 33165 9.2% 14.9% (-5.78)#626 14.5% (-5.33)#16,773
39. 33175 9.0% 14.9% (-5.96)#633 14.5% (-5.51)#16,963
40. 33173 8.6% 14.9% (-6.35)#645 14.5% (-5.91)#17,308
41. 33186 8.5% 14.9% (-6.49)#646 14.5% (-6.04)#17,413
42. 33131 8.4% 14.9% (-6.52)#649 14.5% (-6.08)#17,450
43. 33134 7.8% 14.9% (-7.16)#671 14.5% (-6.72)#18,044
44. 33145 7.2% 14.9% (-7.75)#690 14.5% (-7.30)#18,598
45. 33138 6.6% 14.9% (-8.30)#708 14.5% (-7.86)#19,108
46. 33176 6.5% 14.9% (-8.46)#713 14.5% (-8.02)#19,238
47. 33196 6.2% 14.9% (-8.70)#724 14.5% (-8.26)#19,468
48. 33133 5.9% 14.9% (-9.02)#734 14.5% (-8.58)#19,743
49. 33187 5.4% 14.9% (-9.54)#754 14.5% (-9.09)#20,226
50. 33179 5.4% 14.9% (-9.56)#755 14.5% (-9.11)#20,235
51. 33155 3.7% 14.9% (-11.3)#799 14.5% (-10.8)#21,706
52. 33185 2.2% 14.9% (-12.7)#834 14.5% (-12.3)#22,711
53. 33184 2.2% 14.9% (-12.7)#835 14.5% (-12.3)#22,727
54. 33146 1.6% 14.9% (-13.4)#843 14.5% (-12.9)#23,094

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL are:
#1
39.1%
#2
34.5%
#3
31.7%
#4
28.9%
#5
22.2%
#6
22.2%
#7
22.0%
#8
21.7%
#9
21.0%
#10
20.6%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL?
33136 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Miami, FL with 39.1%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Miami, FL?
Poverty Level Among Females Between Ages 25 and 34 in Miami is 16.5%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Florida?
Poverty Level Among Females Between Ages 25 and 34 in Florida is 14.9%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.