Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Florida

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Highest Birth Rate | Women 35+
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 SpringsApopkaBoca RatonBoynton BeachBradentonBrandonBrooksvilleCape CoralCasselberryClearwaterClermontCocoaCoral SpringsCrestviewCrystal RiverDade CityDavenportDaytona BeachDeerfield BeachDelandDelray BeachDeltonaDunnellonEnglewoodFort LauderdaleFort MyersFort PierceFort Walton BeachGainesvilleGulf BreezeHialeahHolidayHollywoodHomesteadHudsonInvernessJacksonvilleJupiterKissimmeeLake CityLake WalesLake WorthLakelandLand O LakesLargoLeesburgLehigh AcresLive OakLongwoodLutzMelbourneMerritt IslandMiamiMiami BeachMiltonNaplesNew Port RicheyNew Smyrna BeachNorth Fort MyersNorth PortOcalaOpa LockaOrange ParkOrlandoOrmond BeachOviedoPalm BayPalm Beach GardensPalm CoastPalm HarborPanama CityPanama City BeachPensacolaPerryPinellas ParkPlant CityPompano BeachPort CharlottePort OrangePort Saint LuciePunta GordaRiverviewSaint 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 Over the Age of 35 in Florida

0.0
500.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Florida Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Florida

Zip Code Births / 1,000 Women vs State vs National
1.32064402.030.0(+372)#132.0(+370)#131
2.33960353.030.0(+323)#232.0(+321)#170
3.32094323.030.0(+293)#332.0(+291)#202
4.33834230.030.0(+200)#432.0(+198)#374
5.33851207.030.0(+177)#532.0(+175)#445
6.34947198.030.0(+168)#632.0(+166)#488
7.33982198.030.0(+168)#732.0(+166)#489
8.32053195.030.0(+165)#832.0(+163)#499
9.32340193.030.0(+163)#932.0(+161)#511
10.32331184.030.0(+154)#1032.0(+152)#551
11.32464181.030.0(+151)#1132.0(+149)#566
12.33850180.030.0(+150)#1232.0(+148)#572
13.32347180.030.0(+150)#1332.0(+148)#573
14.32455174.030.0(+144)#1432.0(+142)#623
15.33875166.030.0(+136)#1532.0(+134)#684
16.34236155.030.0(+125)#1632.0(+123)#765
17.33473154.030.0(+124)#1732.0(+122)#776
18.33478146.030.0(+116)#1832.0(+114)#837
19.32567139.030.0(+109)#1932.0(+107)#907
20.34695137.030.0(+107)#2032.0(+105)#924
21.34210136.030.0(+106)#2132.0(+104)#937
22.32052135.030.0(+105)#2232.0(+103)#950
23.33585128.030.0(+98.0)#2332.0(+96.0)#1,048
24.33903127.030.0(+97.0)#2432.0(+95.0)#1,053
25.32735125.030.0(+95.0)#2532.0(+93.0)#1,089
26.32403125.030.0(+95.0)#2632.0(+93.0)#1,098
27.32951122.030.0(+92.0)#2732.0(+90.0)#1,127
28.32440122.030.0(+92.0)#2832.0(+90.0)#1,130
29.34981119.030.0(+89.0)#2932.0(+87.0)#1,174
30.32081116.030.0(+86.0)#3032.0(+84.0)#1,225
31.32425115.030.0(+85.0)#3132.0(+83.0)#1,239
32.33460113.030.0(+83.0)#3232.0(+81.0)#1,269
33.34956111.030.0(+81.0)#3332.0(+79.0)#1,304
34.32343110.030.0(+80.0)#3432.0(+78.0)#1,329
35.32619109.030.0(+79.0)#3532.0(+77.0)#1,342
36.33527107.030.0(+77.0)#3632.0(+75.0)#1,366
37.32643107.030.0(+77.0)#3732.0(+75.0)#1,371
38.32460106.030.0(+76.0)#3832.0(+74.0)#1,396
39.32962102.030.0(+72.0)#3932.0(+70.0)#1,483
40.3281898.030.0(+68.0)#4032.0(+66.0)#1,581
41.3498698.030.0(+68.0)#4132.0(+66.0)#1,583
42.3262198.030.0(+68.0)#4232.0(+66.0)#1,598
43.3319097.030.0(+67.0)#4332.0(+65.0)#1,618
44.3473493.030.0(+63.0)#4432.0(+61.0)#1,739
45.3281292.030.0(+62.0)#4532.0(+60.0)#1,753
46.3234890.030.0(+60.0)#4632.0(+58.0)#1,840
47.3341088.030.0(+58.0)#4732.0(+56.0)#1,886
48.3351388.030.0(+58.0)#4832.0(+56.0)#1,895
49.3411087.030.0(+57.0)#4932.0(+55.0)#1,934
50.3386086.030.0(+56.0)#5032.0(+54.0)#1,970
51.3377484.030.0(+54.0)#5132.0(+52.0)#2,047
52.3313284.030.0(+54.0)#5232.0(+52.0)#2,049
53.3314683.030.0(+53.0)#5332.0(+51.0)#2,082
54.3208482.030.0(+52.0)#5432.0(+50.0)#2,126
55.3340181.030.0(+51.0)#5532.0(+49.0)#2,170
56.3314081.030.0(+51.0)#5632.0(+49.0)#2,176
57.3443181.030.0(+51.0)#5732.0(+49.0)#2,187
58.3234681.030.0(+51.0)#5832.0(+49.0)#2,200
59.3316880.030.0(+50.0)#5932.0(+48.0)#2,217
60.3330580.030.0(+50.0)#6032.0(+48.0)#2,224
61.3313679.030.0(+49.0)#6132.0(+47.0)#2,273
62.3377678.030.0(+48.0)#6232.0(+46.0)#2,323
63.3223478.030.0(+48.0)#6332.0(+46.0)#2,326
64.3335177.030.0(+47.0)#6432.0(+45.0)#2,357
65.3341377.030.0(+47.0)#6532.0(+45.0)#2,368
66.3269777.030.0(+47.0)#6632.0(+45.0)#2,408
67.3222175.030.0(+45.0)#6732.0(+43.0)#2,462
68.3315074.030.0(+44.0)#6832.0(+42.0)#2,527
69.3243974.030.0(+44.0)#6932.0(+42.0)#2,537
70.3475374.030.0(+44.0)#7032.0(+42.0)#2,548
71.3304374.030.0(+44.0)#7132.0(+42.0)#2,556
72.3340373.030.0(+43.0)#7232.0(+41.0)#2,602
73.3316072.030.0(+42.0)#7332.0(+40.0)#2,661
74.3360572.030.0(+42.0)#7432.0(+40.0)#2,676
75.3377872.030.0(+42.0)#7532.0(+40.0)#2,678
76.3381272.030.0(+42.0)#7632.0(+40.0)#2,681
77.3353872.030.0(+42.0)#7732.0(+40.0)#2,698
78.3340971.030.0(+41.0)#7832.0(+39.0)#2,715
79.3344971.030.0(+41.0)#7932.0(+39.0)#2,737
80.3225970.030.0(+40.0)#8032.0(+38.0)#2,786
81.3346170.030.0(+40.0)#8132.0(+38.0)#2,790
82.3370970.030.0(+40.0)#8232.0(+38.0)#2,799
83.3410270.030.0(+40.0)#8332.0(+38.0)#2,811
84.3220969.030.0(+39.0)#8432.0(+37.0)#2,866
85.3447369.030.0(+39.0)#8532.0(+37.0)#2,878
86.3200869.030.0(+39.0)#8632.0(+37.0)#2,897
87.3266869.030.0(+39.0)#8732.0(+37.0)#2,902
88.3205969.030.0(+39.0)#8832.0(+37.0)#2,909
89.3225768.030.0(+38.0)#8932.0(+36.0)#2,925
90.3306068.030.0(+38.0)#9032.0(+36.0)#2,929
91.3354868.030.0(+38.0)#9132.0(+36.0)#2,957
92.3381367.030.0(+37.0)#9232.0(+35.0)#2,999
93.3357367.030.0(+37.0)#9332.0(+35.0)#3,009
94.3293767.030.0(+37.0)#9432.0(+35.0)#3,010
95.3340567.030.0(+37.0)#9532.0(+35.0)#3,022
96.3307666.030.0(+36.0)#9632.0(+34.0)#3,095
97.3302866.030.0(+36.0)#9732.0(+34.0)#3,106
98.3411266.030.0(+36.0)#9832.0(+34.0)#3,107
99.3331265.030.0(+35.0)#9932.0(+33.0)#3,173
100.3306765.030.0(+35.0)#10032.0(+33.0)#3,188

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Florida?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Florida are:
#1
402.0
#2
353.0
#3
323.0
#4
230.0
#5
207.0
#6
198.0
#7
198.0
#8
195.0
#9
193.0
#10
184.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Florida?
32064 has the Most Births per 1,000 Women Over the Age of 35 in Florida with 402.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Florida?
Number of Births per 1,000 Women Over the Age of 35 in Florida is 30.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.