Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami, FL

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Highest Birth Rate | Below Poverty
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 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 PetersburgSanfordSarasotaSebringSeminoleSpring HillStuartTallahasseeTampaTarpon SpringsTitusvilleValricoVeniceVero BeachWesley ChapelWest Palm BeachWewahitchkaWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami

14.0
80.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami, FL

Zip Code Births / 1,000 Women vs State vs National
1. 33142 80.0 49.0 (+31.0)#131 53.0 (+27.0)#6,138
2. 33136 73.0 49.0 (+24.0)#165 53.0 (+20.0)#7,399
3. 33135 71.0 49.0 (+22.0)#181 53.0 (+18.0)#7,780
4. 33150 70.0 49.0 (+21.0)#190 53.0 (+17.0)#8,003
5. 33168 67.0 49.0 (+18.0)#223 53.0 (+14.0)#8,668
6. 33132 66.0 49.0 (+17.0)#228 53.0 (+13.0)#8,961
7. 33190 65.0 49.0 (+16.0)#234 53.0 (+12.0)#9,226
8. 33138 63.0 49.0 (+14.0)#250 53.0 (+10.00)#9,713
9. 33147 62.0 49.0 (+13.0)#257 53.0 (+9.00)#9,988
10. 33122 62.0 49.0 (+13.0)#264 53.0 (+9.00)#10,169
11. 33125 61.0 49.0 (+12.0)#266 53.0 (+8.00)#10,205
12. 33162 61.0 49.0 (+12.0)#267 53.0 (+8.00)#10,214
13. 33185 59.0 49.0 (+10.00)#290 53.0 (+6.00)#10,881
14. 33161 58.0 49.0 (+9.00)#297 53.0 (+5.00)#11,112
15. 33175 53.0 49.0 (+4.00)#346 53.0 (=0.000)#12,668
16. 33181 53.0 49.0 (+4.00)#353 53.0 (=0.000)#12,769
17. 33146 53.0 49.0 (+4.00)#354 53.0 (=0.000)#12,779
18. 33127 50.0 49.0 (+1.000)#390 53.0 (-3.00)#13,748
19. 33128 50.0 49.0 (+1.000)#398 53.0 (-3.00)#13,841
20. 33129 49.0 49.0 (=0.000)#410 53.0 (-4.00)#14,145
21. 33194 47.0 49.0 (-2.00)#433 53.0 (-6.00)#14,881
22. 33176 46.0 49.0 (-3.00)#437 53.0 (-7.00)#15,051
23. 33156 46.0 49.0 (-3.00)#443 53.0 (-7.00)#15,112
24. 33143 45.0 49.0 (-4.00)#455 53.0 (-8.00)#15,469
25. 33186 44.0 49.0 (-5.00)#462 53.0 (-9.00)#15,736
26. 33196 44.0 49.0 (-5.00)#463 53.0 (-9.00)#15,751
27. 33174 44.0 49.0 (-5.00)#468 53.0 (-9.00)#15,813
28. 33187 44.0 49.0 (-5.00)#473 53.0 (-9.00)#15,897
29. 33169 42.0 49.0 (-7.00)#497 53.0 (-11.0)#16,525
30. 33178 40.0 49.0 (-9.00)#525 53.0 (-13.0)#17,181
31. 33165 40.0 49.0 (-9.00)#528 53.0 (-13.0)#17,195
32. 33167 40.0 49.0 (-9.00)#534 53.0 (-13.0)#17,291
33. 33177 39.0 49.0 (-10.00)#538 53.0 (-14.0)#17,531
34. 33155 38.0 49.0 (-11.0)#558 53.0 (-15.0)#17,890
35. 33172 37.0 49.0 (-12.0)#575 53.0 (-16.0)#18,266
36. 33173 37.0 49.0 (-12.0)#576 53.0 (-16.0)#18,276
37. 33133 35.0 49.0 (-14.0)#606 53.0 (-18.0)#18,959
38. 33145 35.0 49.0 (-14.0)#608 53.0 (-18.0)#18,978
39. 33131 34.0 49.0 (-15.0)#623 53.0 (-19.0)#19,281
40. 33157 33.0 49.0 (-16.0)#635 53.0 (-20.0)#19,527
41. 33126 33.0 49.0 (-16.0)#638 53.0 (-20.0)#19,548
42. 33130 33.0 49.0 (-16.0)#643 53.0 (-20.0)#19,582
43. 33182 33.0 49.0 (-16.0)#652 53.0 (-20.0)#19,665
44. 33179 32.0 49.0 (-17.0)#659 53.0 (-21.0)#19,868
45. 33144 32.0 49.0 (-17.0)#665 53.0 (-21.0)#19,909
46. 33134 31.0 49.0 (-18.0)#673 53.0 (-22.0)#20,159
47. 33183 31.0 49.0 (-18.0)#675 53.0 (-22.0)#20,171
48. 33166 31.0 49.0 (-18.0)#677 53.0 (-22.0)#20,193
49. 33189 31.0 49.0 (-18.0)#678 53.0 (-22.0)#20,201
50. 33180 30.0 49.0 (-19.0)#688 53.0 (-23.0)#20,474
51. 33158 29.0 49.0 (-20.0)#711 53.0 (-24.0)#20,876
52. 33184 16.0 49.0 (-33.0)#825 53.0 (-37.0)#23,807
53. 33170 16.0 49.0 (-33.0)#826 53.0 (-37.0)#23,814
54. 33137 15.0 49.0 (-34.0)#831 53.0 (-38.0)#23,978
55. 33193 14.0 49.0 (-35.0)#838 53.0 (-39.0)#24,163

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami, FL?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Miami, FL are:
#1
80.0
#2
73.0
#3
71.0
#4
70.0
#5
67.0
#6
66.0
#7
65.0
#8
63.0
#9
62.0
#10
62.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Miami, FL?
33142 has the Most Births per 1,000 Women Below Poverty Level in Miami, FL with 80.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Miami, FL?
Number of Births per 1,000 Women Below Poverty Level in Miami is 51.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Florida?
Number of Births per 1,000 Women Below Poverty Level in Florida is 49.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.