Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL

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Highest Poverty | Boys 0-16
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
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Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami

0.84%
50.2%
Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami Map

Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL

Zip Code Child Poverty (Boys) vs State vs National
1. 33150 50.2% 18.0% (+32.2)#31 16.9% (+33.3)#1,962
2. 33136 46.3% 18.0% (+28.3)#37 16.9% (+29.4)#2,402
3. 33127 45.6% 18.0% (+27.6)#41 16.9% (+28.7)#2,493
4. 33147 37.9% 18.0% (+19.9)#78 16.9% (+21.0)#3,751
5. 33142 37.6% 18.0% (+19.6)#81 16.9% (+20.7)#3,836
6. 33161 36.3% 18.0% (+18.3)#89 16.9% (+19.4)#4,078
7. 33167 31.2% 18.0% (+13.2)#144 16.9% (+14.3)#5,379
8. 33130 31.2% 18.0% (+13.2)#146 16.9% (+14.3)#5,387
9. 33135 30.9% 18.0% (+12.9)#149 16.9% (+14.0)#5,457
10. 33125 27.3% 18.0% (+9.27)#205 16.9% (+10.4)#6,671
11. 33137 27.2% 18.0% (+9.21)#209 16.9% (+10.3)#6,702
12. 33181 25.8% 18.0% (+7.79)#230 16.9% (+8.90)#7,217
13. 33162 24.5% 18.0% (+6.50)#255 16.9% (+7.61)#7,751
14. 33126 24.5% 18.0% (+6.45)#258 16.9% (+7.55)#7,776
15. 33177 21.9% 18.0% (+3.92)#302 16.9% (+5.03)#8,895
16. 33169 21.3% 18.0% (+3.27)#319 16.9% (+4.38)#9,219
17. 33174 20.3% 18.0% (+2.33)#341 16.9% (+3.43)#9,721
18. 33128 19.7% 18.0% (+1.74)#350 16.9% (+2.85)#10,038
19. 33157 19.2% 18.0% (+1.23)#357 16.9% (+2.33)#10,309
20. 33138 18.8% 18.0% (+0.777)#376 16.9% (+1.88)#10,554
21. 33166 18.3% 18.0% (+0.326)#383 16.9% (+1.43)#10,771
22. 33170 17.8% 18.0% (-0.189)#393 16.9% (+0.916)#11,048
23. 33168 17.8% 18.0% (-0.225)#394 16.9% (+0.880)#11,067
24. 33193 17.0% 18.0% (-1.06)#417 16.9% (+0.046)#11,540
25. 33189 15.9% 18.0% (-2.12)#444 16.9% (-1.01)#12,221
26. 33133 15.8% 18.0% (-2.21)#446 16.9% (-1.10)#12,273
27. 33180 15.6% 18.0% (-2.38)#450 16.9% (-1.28)#12,406
28. 33145 15.6% 18.0% (-2.44)#454 16.9% (-1.34)#12,435
29. 33176 15.5% 18.0% (-2.52)#456 16.9% (-1.41)#12,483
30. 33179 15.2% 18.0% (-2.82)#461 16.9% (-1.71)#12,670
31. 33190 14.9% 18.0% (-3.06)#470 16.9% (-1.96)#12,817
32. 33129 14.0% 18.0% (-3.97)#496 16.9% (-2.86)#13,408
33. 33175 13.7% 18.0% (-4.29)#511 16.9% (-3.18)#13,627
34. 33132 13.5% 18.0% (-4.54)#519 16.9% (-3.44)#13,782
35. 33165 12.0% 18.0% (-6.03)#573 16.9% (-4.93)#14,830
36. 33144 11.9% 18.0% (-6.12)#577 16.9% (-5.01)#14,907
37. 33155 11.2% 18.0% (-6.77)#590 16.9% (-5.67)#15,354
38. 33143 11.0% 18.0% (-7.04)#599 16.9% (-5.93)#15,565
39. 33186 10.9% 18.0% (-7.10)#602 16.9% (-5.99)#15,615
40. 33183 9.8% 18.0% (-8.21)#633 16.9% (-7.10)#16,499
41. 33172 9.3% 18.0% (-8.71)#653 16.9% (-7.60)#16,915
42. 33187 8.2% 18.0% (-9.77)#687 16.9% (-8.67)#17,864
43. 33178 8.2% 18.0% (-9.78)#688 16.9% (-8.68)#17,868
44. 33173 8.1% 18.0% (-9.91)#691 16.9% (-8.81)#17,985
45. 33196 7.7% 18.0% (-10.3)#700 16.9% (-9.20)#18,312
46. 33184 7.6% 18.0% (-10.4)#704 16.9% (-9.29)#18,415
47. 33185 6.2% 18.0% (-11.8)#743 16.9% (-10.7)#19,628
48. 33156 5.2% 18.0% (-12.9)#763 16.9% (-11.8)#20,584
49. 33158 4.5% 18.0% (-13.5)#776 16.9% (-12.4)#21,157
50. 33134 4.5% 18.0% (-13.5)#778 16.9% (-12.4)#21,201
51. 33146 4.0% 18.0% (-14.0)#792 16.9% (-12.9)#21,609
52. 33194 0.84% 18.0% (-17.2)#855 16.9% (-16.1)#24,201

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL?
Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL are:
#1
50.2%
#2
46.3%
#3
45.6%
#4
37.9%
#5
37.6%
#6
36.3%
#7
31.2%
#8
31.2%
#9
30.9%
#10
27.3%
What zip code has the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL?
33150 has the Highest Child Poverty Level Among Boys Under the Age of 16 in Miami, FL with 50.2%.
What is the Poverty Level Among Boys Under the Age of 16 in Miami, FL?
Poverty Level Among Boys Under the Age of 16 in Miami is 27.3%.
What is the Poverty Level Among Boys Under the Age of 16 in Florida?
Poverty Level Among Boys Under the Age of 16 in Florida is 18.0%.
What is the Poverty Level Among Boys Under the Age of 16 in the United States?
Poverty Level Among Boys Under the Age of 16 in the United States is 16.9%.