Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida

RELATED REPORTS & OPTIONS

Highest Birth Rate | In Labor Force
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 SpringsCrestviewDade CityDavenportDaytona BeachDeerfield BeachDefuniak SpringsDelandDelray BeachDeltonaDunnellonEdgewaterEnglewoodEustisFort LauderdaleFort MyersFort PierceFort Walton BeachGainesvilleGulf BreezeHialeahHolidayHollywoodHomesteadHomosassaHudsonInvernessJacksonvilleJupiterKissimmeeLake CityLake WalesLake WorthLakelandLand O LakesLargoLeesburgLehigh AcresLive OakLongwoodLutzMelbourneMerritt 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 BeachWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida

0.0
800.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida

Zip Code Births / 1,000 Women vs State vs National
1.33848691.044.0(+647)#148.0(+643)#80
2.32361647.044.0(+603)#248.0(+599)#100
3.32358476.044.0(+432)#348.0(+428)#190
4.32064275.044.0(+231)#448.0(+227)#556
5.34498273.044.0(+229)#548.0(+225)#564
6.32008257.044.0(+213)#648.0(+209)#624
7.32410250.044.0(+206)#748.0(+202)#653
8.32053234.044.0(+190)#848.0(+186)#739
9.32666230.044.0(+186)#948.0(+182)#766
10.32461224.044.0(+180)#1048.0(+176)#805
11.32096213.044.0(+169)#1148.0(+165)#888
12.33982208.044.0(+164)#1248.0(+160)#924
13.32420194.044.0(+150)#1348.0(+146)#1,069
14.32189182.044.0(+138)#1448.0(+134)#1,181
15.32564172.044.0(+128)#1548.0(+124)#1,299
16.32340171.044.0(+127)#1648.0(+123)#1,312
17.32139170.044.0(+126)#1748.0(+122)#1,338
18.34947169.044.0(+125)#1848.0(+121)#1,344
19.32347167.044.0(+123)#1948.0(+119)#1,370
20.32455165.044.0(+121)#2048.0(+117)#1,416
21.34981161.044.0(+117)#2148.0(+113)#1,472
22.33948159.044.0(+115)#2248.0(+111)#1,506
23.32193158.044.0(+114)#2348.0(+110)#1,535
24.33834156.044.0(+112)#2448.0(+108)#1,564
25.32951150.044.0(+106)#2548.0(+102)#1,670
26.32950150.044.0(+106)#2648.0(+102)#1,672
27.33838148.044.0(+104)#2748.0(+100.0)#1,713
28.34224146.044.0(+102)#2848.0(+98.0)#1,757
29.33472142.044.0(+98.0)#2948.0(+94.0)#1,857
30.32094140.044.0(+96.0)#3048.0(+92.0)#1,895
31.32437140.044.0(+96.0)#3148.0(+92.0)#1,911
32.32180139.044.0(+95.0)#3248.0(+91.0)#1,926
33.33478136.044.0(+92.0)#3348.0(+88.0)#2,005
34.33473133.044.0(+89.0)#3448.0(+85.0)#2,091
35.32425131.044.0(+87.0)#3548.0(+83.0)#2,146
36.32460131.044.0(+87.0)#3648.0(+83.0)#2,149
37.33991130.044.0(+86.0)#3748.0(+82.0)#2,169
38.32680126.044.0(+82.0)#3848.0(+78.0)#2,310
39.33471124.044.0(+80.0)#3948.0(+76.0)#2,388
40.32134120.044.0(+76.0)#4048.0(+72.0)#2,511
41.32505119.044.0(+75.0)#4148.0(+71.0)#2,539
42.32550119.044.0(+75.0)#4248.0(+71.0)#2,547
43.33403117.044.0(+73.0)#4348.0(+69.0)#2,631
44.34950115.044.0(+71.0)#4448.0(+67.0)#2,709
45.33031112.044.0(+68.0)#4548.0(+64.0)#2,835
46.33890112.044.0(+68.0)#4648.0(+64.0)#2,842
47.33778111.044.0(+67.0)#4748.0(+63.0)#2,871
48.33973110.044.0(+66.0)#4848.0(+62.0)#2,947
49.32578109.044.0(+65.0)#4948.0(+61.0)#2,990
50.32466109.044.0(+65.0)#5048.0(+61.0)#3,000
51.32905107.044.0(+63.0)#5148.0(+59.0)#3,090
52.34695107.044.0(+63.0)#5248.0(+59.0)#3,092
53.32569105.044.0(+61.0)#5348.0(+57.0)#3,190
54.32439104.044.0(+60.0)#5448.0(+56.0)#3,250
55.32322104.044.0(+60.0)#5548.0(+56.0)#3,267
56.32258103.044.0(+59.0)#5648.0(+55.0)#3,299
57.32833103.044.0(+59.0)#5748.0(+55.0)#3,315
58.34433103.044.0(+59.0)#5848.0(+55.0)#3,321
59.33476103.044.0(+59.0)#5948.0(+55.0)#3,323
60.34951102.044.0(+58.0)#6048.0(+54.0)#3,373
61.34987101.044.0(+57.0)#6148.0(+53.0)#3,435
62.32348101.044.0(+57.0)#6248.0(+53.0)#3,436
63.32735101.044.0(+57.0)#6348.0(+53.0)#3,453
64.32055100.044.0(+56.0)#6448.0(+52.0)#3,489
65.32083100.044.0(+56.0)#6548.0(+52.0)#3,516
66.3209598.044.0(+54.0)#6648.0(+50.0)#3,625
67.3220698.044.0(+54.0)#6748.0(+50.0)#3,626
68.3473797.044.0(+53.0)#6848.0(+49.0)#3,719
69.3254497.044.0(+53.0)#6948.0(+49.0)#3,730
70.3378296.044.0(+52.0)#7048.0(+48.0)#3,762
71.3385396.044.0(+52.0)#7148.0(+48.0)#3,770
72.3390395.044.0(+51.0)#7248.0(+47.0)#3,833
73.3344995.044.0(+51.0)#7348.0(+47.0)#3,842
74.3245694.044.0(+50.0)#7448.0(+46.0)#3,905
75.3319093.044.0(+49.0)#7548.0(+45.0)#3,970
76.3352793.044.0(+49.0)#7648.0(+45.0)#3,973
77.3281892.044.0(+48.0)#7748.0(+44.0)#4,027
78.3225492.044.0(+48.0)#7848.0(+44.0)#4,049
79.3445292.044.0(+48.0)#7948.0(+44.0)#4,051
80.3396091.044.0(+47.0)#8048.0(+43.0)#4,183
81.3420790.044.0(+46.0)#8148.0(+42.0)#4,207
82.3262190.044.0(+46.0)#8248.0(+42.0)#4,243
83.3473490.044.0(+46.0)#8348.0(+42.0)#4,247
84.3377489.044.0(+45.0)#8448.0(+41.0)#4,305
85.3225788.044.0(+44.0)#8548.0(+40.0)#4,394
86.3220588.044.0(+44.0)#8648.0(+40.0)#4,397
87.3295388.044.0(+44.0)#8748.0(+40.0)#4,402
88.3447388.044.0(+44.0)#8848.0(+40.0)#4,403
89.3478887.044.0(+43.0)#8948.0(+39.0)#4,501
90.3351387.044.0(+43.0)#9048.0(+39.0)#4,515
91.3207187.044.0(+43.0)#9148.0(+39.0)#4,546
92.3220986.044.0(+42.0)#9248.0(+38.0)#4,588
93.3290386.044.0(+42.0)#9348.0(+38.0)#4,606
94.3240585.044.0(+41.0)#9448.0(+37.0)#4,698
95.3214885.044.0(+41.0)#9548.0(+37.0)#4,727
96.3217985.044.0(+41.0)#9648.0(+37.0)#4,733
97.3307684.044.0(+40.0)#9748.0(+36.0)#4,789
98.3290484.044.0(+40.0)#9848.0(+36.0)#4,793
99.3395284.044.0(+40.0)#9948.0(+36.0)#4,794
100.3222684.044.0(+40.0)#10048.0(+36.0)#4,808

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Florida are:
#1
691.0
#2
647.0
#3
476.0
#4
275.0
#5
273.0
#6
257.0
#7
250.0
#8
234.0
#9
230.0
#10
224.0
What zip code has the Most Births per 1,000 Women in Labor Force in Florida?
33848 has the Most Births per 1,000 Women in Labor Force in Florida with 691.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Florida?
Number of Births per 1,000 Women in Labor Force in Florida is 44.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.