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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in Florida

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

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

Zip Code Births / 1,000 Women vs State vs National
1.331703.044.0(-41.0)#148.0(-45.0)#45
2.326433.044.0(-41.0)#248.0(-45.0)#51
3.338593.044.0(-41.0)#348.0(-45.0)#52
4.326403.044.0(-41.0)#448.0(-45.0)#53
5.323213.044.0(-41.0)#548.0(-45.0)#64
6.321124.044.0(-40.0)#648.0(-44.0)#111
7.336204.044.0(-40.0)#748.0(-44.0)#118
8.349454.044.0(-40.0)#848.0(-44.0)#124
9.323314.044.0(-40.0)#948.0(-44.0)#131
10.320586.044.0(-38.0)#1048.0(-42.0)#266
11.346527.044.0(-37.0)#1148.0(-41.0)#318
12.333327.044.0(-37.0)#1248.0(-41.0)#327
13.320387.044.0(-37.0)#1348.0(-41.0)#334
14.321457.044.0(-37.0)#1448.0(-41.0)#355
15.320918.044.0(-36.0)#1548.0(-40.0)#418
16.323518.044.0(-36.0)#1648.0(-40.0)#419
17.320668.044.0(-36.0)#1748.0(-40.0)#456
18.325669.044.0(-35.0)#1848.0(-39.0)#550
19.346839.044.0(-35.0)#1948.0(-39.0)#552
20.336069.044.0(-35.0)#2048.0(-39.0)#558
21.349579.044.0(-35.0)#2148.0(-39.0)#559
22.322049.044.0(-35.0)#2248.0(-39.0)#588
23.3282410.044.0(-34.0)#2348.0(-38.0)#674
24.3230410.044.0(-34.0)#2448.0(-38.0)#676
25.3385210.044.0(-34.0)#2548.0(-38.0)#685
26.3260910.044.0(-34.0)#2648.0(-38.0)#687
27.3444610.044.0(-34.0)#2748.0(-38.0)#688
28.3370610.044.0(-34.0)#2848.0(-38.0)#699
29.3423510.044.0(-34.0)#2948.0(-38.0)#703
30.3331610.044.0(-34.0)#3048.0(-38.0)#713
31.3211811.044.0(-33.0)#3148.0(-37.0)#847
32.3217611.044.0(-33.0)#3248.0(-37.0)#858
33.3383911.044.0(-33.0)#3348.0(-37.0)#926
34.3262211.044.0(-33.0)#3448.0(-37.0)#957
35.3302912.044.0(-32.0)#3548.0(-36.0)#994
36.3281912.044.0(-32.0)#3648.0(-36.0)#1,003
37.3396612.044.0(-32.0)#3748.0(-36.0)#1,036
38.3282813.044.0(-31.0)#3848.0(-35.0)#1,159
39.3260813.044.0(-31.0)#3948.0(-35.0)#1,160
40.3375513.044.0(-31.0)#4048.0(-35.0)#1,170
41.3313713.044.0(-31.0)#4148.0(-35.0)#1,173
42.3260613.044.0(-31.0)#4248.0(-35.0)#1,174
43.3345513.044.0(-31.0)#4348.0(-35.0)#1,181
44.3354913.044.0(-31.0)#4448.0(-35.0)#1,190
45.3240713.044.0(-31.0)#4548.0(-35.0)#1,204
46.3244613.044.0(-31.0)#4648.0(-35.0)#1,216
47.3250813.044.0(-31.0)#4748.0(-35.0)#1,260
48.3390814.044.0(-30.0)#4848.0(-34.0)#1,351
49.3354514.044.0(-30.0)#4948.0(-34.0)#1,361
50.3344414.044.0(-30.0)#5048.0(-34.0)#1,363
51.3212914.044.0(-30.0)#5148.0(-34.0)#1,364
52.3360214.044.0(-30.0)#5248.0(-34.0)#1,377
53.3356714.044.0(-30.0)#5348.0(-34.0)#1,389
54.3256714.044.0(-30.0)#5448.0(-34.0)#1,441
55.3429315.044.0(-29.0)#5548.0(-33.0)#1,534
56.3281015.044.0(-29.0)#5648.0(-33.0)#1,541
57.3232715.044.0(-29.0)#5748.0(-33.0)#1,547
58.3377115.044.0(-29.0)#5848.0(-33.0)#1,548
59.3395015.044.0(-29.0)#5948.0(-33.0)#1,551
60.3413415.044.0(-29.0)#6048.0(-33.0)#1,569
61.3280115.044.0(-29.0)#6148.0(-33.0)#1,571
62.3231015.044.0(-29.0)#6248.0(-33.0)#1,573
63.3448116.044.0(-28.0)#6348.0(-32.0)#1,752
64.3421216.044.0(-28.0)#6448.0(-32.0)#1,754
65.3230816.044.0(-28.0)#6548.0(-32.0)#1,756
66.3343116.044.0(-28.0)#6648.0(-32.0)#1,758
67.3423816.044.0(-28.0)#6748.0(-32.0)#1,759
68.3282116.044.0(-28.0)#6848.0(-32.0)#1,766
69.3243316.044.0(-28.0)#6948.0(-32.0)#1,770
70.3292016.044.0(-28.0)#7048.0(-32.0)#1,794
71.3319317.044.0(-27.0)#7148.0(-31.0)#1,927
72.3221617.044.0(-27.0)#7248.0(-31.0)#1,931
73.3388117.044.0(-27.0)#7348.0(-31.0)#1,933
74.3356917.044.0(-27.0)#7448.0(-31.0)#1,947
75.3208017.044.0(-27.0)#7548.0(-31.0)#1,956
76.3333017.044.0(-27.0)#7648.0(-31.0)#1,969
77.3348317.044.0(-27.0)#7748.0(-31.0)#1,971
78.3460217.044.0(-27.0)#7848.0(-31.0)#1,988
79.3246517.044.0(-27.0)#7948.0(-31.0)#1,995
80.3260317.044.0(-27.0)#8048.0(-31.0)#2,007
81.3260718.044.0(-26.0)#8148.0(-30.0)#2,128
82.3292718.044.0(-26.0)#8248.0(-30.0)#2,138
83.3428518.044.0(-26.0)#8348.0(-30.0)#2,161
84.3421118.044.0(-26.0)#8448.0(-30.0)#2,168
85.3290818.044.0(-26.0)#8548.0(-30.0)#2,178
86.3244518.044.0(-26.0)#8648.0(-30.0)#2,263
87.3469819.044.0(-25.0)#8748.0(-29.0)#2,332
88.3314119.044.0(-25.0)#8848.0(-29.0)#2,335
89.3354319.044.0(-25.0)#8948.0(-29.0)#2,336
90.3202419.044.0(-25.0)#9048.0(-29.0)#2,363
91.3498419.044.0(-25.0)#9148.0(-29.0)#2,372
92.3397619.044.0(-25.0)#9248.0(-29.0)#2,375
93.3353419.044.0(-25.0)#9348.0(-29.0)#2,378
94.3414519.044.0(-25.0)#9448.0(-29.0)#2,383
95.3370819.044.0(-25.0)#9548.0(-29.0)#2,388
96.3346919.044.0(-25.0)#9648.0(-29.0)#2,392
97.3204019.044.0(-25.0)#9748.0(-29.0)#2,422
98.3307019.044.0(-25.0)#9848.0(-29.0)#2,440
99.3213720.044.0(-24.0)#9948.0(-28.0)#2,548
100.3389720.044.0(-24.0)#10048.0(-28.0)#2,576

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Florida?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Florida are:
#1
3.0
#2
3.0
#3
3.0
#4
3.0
#5
3.0
#6
4.0
#7
4.0
#8
4.0
#9
4.0
#10
6.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Florida?
33170 has the Lowest Births per 1,000 Women in Labor Force in Florida with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Florida?
Number Births per 1,000 Women in Labor Force in Florida is 44.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.