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
1.33574500.049.0(+451)#153.0(+447)#168
2.33848459.049.0(+410)#253.0(+406)#209
3.32683387.049.0(+338)#353.0(+334)#277
4.32358301.049.0(+252)#453.0(+248)#448
5.32064258.049.0(+209)#553.0(+205)#616
6.32083258.049.0(+209)#653.0(+205)#617
7.32544249.049.0(+200)#753.0(+196)#672
8.32331241.049.0(+192)#853.0(+188)#705
9.32053229.049.0(+180)#953.0(+176)#779
10.32361224.049.0(+175)#1053.0(+171)#812
11.33621223.049.0(+174)#1153.0(+170)#816
12.32340211.049.0(+162)#1253.0(+158)#875
13.32347210.049.0(+161)#1353.0(+157)#883
14.32094208.049.0(+159)#1453.0(+155)#897
15.34981190.049.0(+141)#1553.0(+137)#1,089
16.32666187.049.0(+138)#1653.0(+134)#1,131
17.32227186.049.0(+137)#1753.0(+133)#1,144
18.34498186.049.0(+137)#1853.0(+133)#1,154
19.32686179.049.0(+130)#1953.0(+126)#1,222
20.32420177.049.0(+128)#2053.0(+124)#1,249
21.33960175.049.0(+126)#2153.0(+122)#1,285
22.32410172.049.0(+123)#2253.0(+119)#1,339
23.32443170.049.0(+121)#2353.0(+117)#1,364
24.32052162.049.0(+113)#2453.0(+109)#1,511
25.32951160.049.0(+111)#2553.0(+107)#1,546
26.32193157.049.0(+108)#2653.0(+104)#1,620
27.33982154.049.0(+105)#2753.0(+101)#1,656
28.32140153.049.0(+104)#2853.0(+100.0)#1,684
29.33471147.049.0(+98.0)#2953.0(+94.0)#1,805
30.33851145.049.0(+96.0)#3053.0(+92.0)#1,866
31.34947144.049.0(+95.0)#3153.0(+91.0)#1,881
32.32081143.049.0(+94.0)#3253.0(+90.0)#1,905
33.32427142.049.0(+93.0)#3353.0(+89.0)#1,956
34.33478141.049.0(+92.0)#3453.0(+88.0)#1,959
35.33473141.049.0(+92.0)#3553.0(+88.0)#1,962
36.32460138.049.0(+89.0)#3653.0(+85.0)#2,047
37.32008134.049.0(+85.0)#3753.0(+81.0)#2,189
38.33838133.049.0(+84.0)#3853.0(+80.0)#2,220
39.32096131.049.0(+82.0)#3953.0(+78.0)#2,291
40.33585131.049.0(+82.0)#4053.0(+78.0)#2,297
41.32455129.049.0(+80.0)#4153.0(+76.0)#2,361
42.32464129.049.0(+80.0)#4253.0(+76.0)#2,362
43.32425128.049.0(+79.0)#4353.0(+75.0)#2,389
44.33834127.049.0(+78.0)#4453.0(+74.0)#2,434
45.33948125.049.0(+76.0)#4553.0(+72.0)#2,500
46.32449122.049.0(+73.0)#4653.0(+69.0)#2,673
47.33513118.049.0(+69.0)#4753.0(+65.0)#2,809
48.33540118.049.0(+69.0)#4853.0(+65.0)#2,810
49.32564118.049.0(+69.0)#4953.0(+65.0)#2,828
50.32206117.049.0(+68.0)#5053.0(+64.0)#2,871
51.32437116.049.0(+67.0)#5153.0(+63.0)#2,950
52.34785115.049.0(+66.0)#5253.0(+62.0)#2,962
53.32132114.049.0(+65.0)#5353.0(+61.0)#3,027
54.32818112.049.0(+63.0)#5453.0(+59.0)#3,115
55.33472112.049.0(+63.0)#5553.0(+59.0)#3,118
56.34224111.049.0(+62.0)#5653.0(+58.0)#3,183
57.33991110.049.0(+61.0)#5753.0(+57.0)#3,246
58.32950110.049.0(+61.0)#5853.0(+57.0)#3,269
59.33973109.049.0(+60.0)#5953.0(+56.0)#3,314
60.33875108.049.0(+59.0)#6053.0(+55.0)#3,372
61.33403107.049.0(+58.0)#6153.0(+54.0)#3,427
62.33778105.049.0(+56.0)#6253.0(+52.0)#3,572
63.32619103.049.0(+54.0)#6353.0(+50.0)#3,725
64.34737103.049.0(+54.0)#6453.0(+50.0)#3,735
65.32621102.049.0(+53.0)#6553.0(+49.0)#3,808
66.32461102.049.0(+53.0)#6653.0(+49.0)#3,826
67.32258101.049.0(+52.0)#6753.0(+48.0)#3,859
68.33903100.049.0(+51.0)#6853.0(+47.0)#3,920
69.34950100.049.0(+51.0)#6953.0(+47.0)#3,925
70.3250898.049.0(+49.0)#7053.0(+45.0)#4,128
71.3250597.049.0(+48.0)#7153.0(+44.0)#4,191
72.3246696.049.0(+47.0)#7253.0(+43.0)#4,319
73.3282095.049.0(+46.0)#7353.0(+42.0)#4,388
74.3218995.049.0(+46.0)#7453.0(+42.0)#4,409
75.3303094.049.0(+45.0)#7553.0(+41.0)#4,478
76.3395294.049.0(+45.0)#7653.0(+41.0)#4,480
77.3304393.049.0(+44.0)#7753.0(+40.0)#4,596
78.3346092.049.0(+43.0)#7853.0(+39.0)#4,652
79.3344292.049.0(+43.0)#7953.0(+39.0)#4,655
80.3469592.049.0(+43.0)#8053.0(+39.0)#4,660
81.3428892.049.0(+43.0)#8153.0(+39.0)#4,664
82.3245692.049.0(+43.0)#8253.0(+39.0)#4,675
83.3256792.049.0(+43.0)#8353.0(+39.0)#4,688
84.3306091.049.0(+42.0)#8453.0(+38.0)#4,743
85.3411991.049.0(+42.0)#8553.0(+38.0)#4,746
86.3209591.049.0(+42.0)#8653.0(+38.0)#4,761
87.3256891.049.0(+42.0)#8753.0(+38.0)#4,799
88.3448090.049.0(+41.0)#8853.0(+37.0)#4,866
89.3256990.049.0(+41.0)#8953.0(+37.0)#4,883
90.3275990.049.0(+41.0)#9053.0(+37.0)#4,922
91.3243989.049.0(+40.0)#9153.0(+36.0)#4,973
92.3495188.049.0(+39.0)#9253.0(+35.0)#5,078
93.3234388.049.0(+39.0)#9353.0(+35.0)#5,109
94.3225787.049.0(+38.0)#9453.0(+34.0)#5,183
95.3220787.049.0(+38.0)#9553.0(+34.0)#5,186
96.3257887.049.0(+38.0)#9653.0(+34.0)#5,187
97.3385087.049.0(+38.0)#9753.0(+34.0)#5,223
98.3352786.049.0(+37.0)#9853.0(+33.0)#5,329
99.3423686.049.0(+37.0)#9953.0(+33.0)#5,334
100.3234886.049.0(+37.0)#10053.0(+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.