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

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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)
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 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 Florida

0.0
500.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Florida Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 33574 500.0 49.0 (+451)#1 53.0 (+447)#168
2. 33848 459.0 49.0 (+410)#2 53.0 (+406)#209
3. 32683 387.0 49.0 (+338)#3 53.0 (+334)#277
4. 32358 301.0 49.0 (+252)#4 53.0 (+248)#448
5. 32064 258.0 49.0 (+209)#5 53.0 (+205)#616
6. 32083 258.0 49.0 (+209)#6 53.0 (+205)#617
7. 32544 249.0 49.0 (+200)#7 53.0 (+196)#672
8. 32331 241.0 49.0 (+192)#8 53.0 (+188)#705
9. 32053 229.0 49.0 (+180)#9 53.0 (+176)#779
10. 32361 224.0 49.0 (+175)#10 53.0 (+171)#812
11. 33621 223.0 49.0 (+174)#11 53.0 (+170)#816
12. 32340 211.0 49.0 (+162)#12 53.0 (+158)#875
13. 32347 210.0 49.0 (+161)#13 53.0 (+157)#883
14. 32094 208.0 49.0 (+159)#14 53.0 (+155)#897
15. 34981 190.0 49.0 (+141)#15 53.0 (+137)#1,089
16. 32666 187.0 49.0 (+138)#16 53.0 (+134)#1,131
17. 32227 186.0 49.0 (+137)#17 53.0 (+133)#1,144
18. 34498 186.0 49.0 (+137)#18 53.0 (+133)#1,154
19. 32686 179.0 49.0 (+130)#19 53.0 (+126)#1,222
20. 32420 177.0 49.0 (+128)#20 53.0 (+124)#1,249
21. 33960 175.0 49.0 (+126)#21 53.0 (+122)#1,285
22. 32410 172.0 49.0 (+123)#22 53.0 (+119)#1,339
23. 32443 170.0 49.0 (+121)#23 53.0 (+117)#1,364
24. 32052 162.0 49.0 (+113)#24 53.0 (+109)#1,511
25. 32951 160.0 49.0 (+111)#25 53.0 (+107)#1,546
26. 32193 157.0 49.0 (+108)#26 53.0 (+104)#1,620
27. 33982 154.0 49.0 (+105)#27 53.0 (+101)#1,656
28. 32140 153.0 49.0 (+104)#28 53.0 (+100.0)#1,684
29. 33471 147.0 49.0 (+98.0)#29 53.0 (+94.0)#1,805
30. 33851 145.0 49.0 (+96.0)#30 53.0 (+92.0)#1,866
31. 34947 144.0 49.0 (+95.0)#31 53.0 (+91.0)#1,881
32. 32081 143.0 49.0 (+94.0)#32 53.0 (+90.0)#1,905
33. 32427 142.0 49.0 (+93.0)#33 53.0 (+89.0)#1,956
34. 33478 141.0 49.0 (+92.0)#34 53.0 (+88.0)#1,959
35. 33473 141.0 49.0 (+92.0)#35 53.0 (+88.0)#1,962
36. 32460 138.0 49.0 (+89.0)#36 53.0 (+85.0)#2,047
37. 32008 134.0 49.0 (+85.0)#37 53.0 (+81.0)#2,189
38. 33838 133.0 49.0 (+84.0)#38 53.0 (+80.0)#2,220
39. 32096 131.0 49.0 (+82.0)#39 53.0 (+78.0)#2,291
40. 33585 131.0 49.0 (+82.0)#40 53.0 (+78.0)#2,297
41. 32455 129.0 49.0 (+80.0)#41 53.0 (+76.0)#2,361
42. 32464 129.0 49.0 (+80.0)#42 53.0 (+76.0)#2,362
43. 32425 128.0 49.0 (+79.0)#43 53.0 (+75.0)#2,389
44. 33834 127.0 49.0 (+78.0)#44 53.0 (+74.0)#2,434
45. 33948 125.0 49.0 (+76.0)#45 53.0 (+72.0)#2,500
46. 32449 122.0 49.0 (+73.0)#46 53.0 (+69.0)#2,673
47. 33513 118.0 49.0 (+69.0)#47 53.0 (+65.0)#2,809
48. 33540 118.0 49.0 (+69.0)#48 53.0 (+65.0)#2,810
49. 32564 118.0 49.0 (+69.0)#49 53.0 (+65.0)#2,828
50. 32206 117.0 49.0 (+68.0)#50 53.0 (+64.0)#2,871
51. 32437 116.0 49.0 (+67.0)#51 53.0 (+63.0)#2,950
52. 34785 115.0 49.0 (+66.0)#52 53.0 (+62.0)#2,962
53. 32132 114.0 49.0 (+65.0)#53 53.0 (+61.0)#3,027
54. 32818 112.0 49.0 (+63.0)#54 53.0 (+59.0)#3,115
55. 33472 112.0 49.0 (+63.0)#55 53.0 (+59.0)#3,118
56. 34224 111.0 49.0 (+62.0)#56 53.0 (+58.0)#3,183
57. 33991 110.0 49.0 (+61.0)#57 53.0 (+57.0)#3,246
58. 32950 110.0 49.0 (+61.0)#58 53.0 (+57.0)#3,269
59. 33973 109.0 49.0 (+60.0)#59 53.0 (+56.0)#3,314
60. 33875 108.0 49.0 (+59.0)#60 53.0 (+55.0)#3,372
61. 33403 107.0 49.0 (+58.0)#61 53.0 (+54.0)#3,427
62. 33778 105.0 49.0 (+56.0)#62 53.0 (+52.0)#3,572
63. 32619 103.0 49.0 (+54.0)#63 53.0 (+50.0)#3,725
64. 34737 103.0 49.0 (+54.0)#64 53.0 (+50.0)#3,735
65. 32621 102.0 49.0 (+53.0)#65 53.0 (+49.0)#3,808
66. 32461 102.0 49.0 (+53.0)#66 53.0 (+49.0)#3,826
67. 32258 101.0 49.0 (+52.0)#67 53.0 (+48.0)#3,859
68. 33903 100.0 49.0 (+51.0)#68 53.0 (+47.0)#3,920
69. 34950 100.0 49.0 (+51.0)#69 53.0 (+47.0)#3,925
70. 32508 98.0 49.0 (+49.0)#70 53.0 (+45.0)#4,128
71. 32505 97.0 49.0 (+48.0)#71 53.0 (+44.0)#4,191
72. 32466 96.0 49.0 (+47.0)#72 53.0 (+43.0)#4,319
73. 32820 95.0 49.0 (+46.0)#73 53.0 (+42.0)#4,388
74. 32189 95.0 49.0 (+46.0)#74 53.0 (+42.0)#4,409
75. 33030 94.0 49.0 (+45.0)#75 53.0 (+41.0)#4,478
76. 33952 94.0 49.0 (+45.0)#76 53.0 (+41.0)#4,480
77. 33043 93.0 49.0 (+44.0)#77 53.0 (+40.0)#4,596
78. 33460 92.0 49.0 (+43.0)#78 53.0 (+39.0)#4,652
79. 33442 92.0 49.0 (+43.0)#79 53.0 (+39.0)#4,655
80. 34695 92.0 49.0 (+43.0)#80 53.0 (+39.0)#4,660
81. 34288 92.0 49.0 (+43.0)#81 53.0 (+39.0)#4,664
82. 32456 92.0 49.0 (+43.0)#82 53.0 (+39.0)#4,675
83. 32567 92.0 49.0 (+43.0)#83 53.0 (+39.0)#4,688
84. 33060 91.0 49.0 (+42.0)#84 53.0 (+38.0)#4,743
85. 34119 91.0 49.0 (+42.0)#85 53.0 (+38.0)#4,746
86. 32095 91.0 49.0 (+42.0)#86 53.0 (+38.0)#4,761
87. 32568 91.0 49.0 (+42.0)#87 53.0 (+38.0)#4,799
88. 34480 90.0 49.0 (+41.0)#88 53.0 (+37.0)#4,866
89. 32569 90.0 49.0 (+41.0)#89 53.0 (+37.0)#4,883
90. 32759 90.0 49.0 (+41.0)#90 53.0 (+37.0)#4,922
91. 32439 89.0 49.0 (+40.0)#91 53.0 (+36.0)#4,973
92. 34951 88.0 49.0 (+39.0)#92 53.0 (+35.0)#5,078
93. 32343 88.0 49.0 (+39.0)#93 53.0 (+35.0)#5,109
94. 32257 87.0 49.0 (+38.0)#94 53.0 (+34.0)#5,183
95. 32207 87.0 49.0 (+38.0)#95 53.0 (+34.0)#5,186
96. 32578 87.0 49.0 (+38.0)#96 53.0 (+34.0)#5,187
97. 33850 87.0 49.0 (+38.0)#97 53.0 (+34.0)#5,223
98. 33527 86.0 49.0 (+37.0)#98 53.0 (+33.0)#5,329
99. 34236 86.0 49.0 (+37.0)#99 53.0 (+33.0)#5,334
100. 32348 86.0 49.0 (+37.0)#100 53.0 (+33.0)#5,335

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Florida?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Florida are:
#1
500.0
#2
459.0
#3
387.0
#4
301.0
#5
258.0
#6
258.0
#7
249.0
#8
241.0
#9
229.0
#10
224.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Florida?
33574 has the Most Births per 1,000 Women Below Poverty Level in Florida with 500.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of 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.