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

RELATED REPORTS & OPTIONS

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

20.0
0.0
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. 33170 3.0 44.0 (-41.0)#1 48.0 (-45.0)#45
2. 32643 3.0 44.0 (-41.0)#2 48.0 (-45.0)#51
3. 33859 3.0 44.0 (-41.0)#3 48.0 (-45.0)#52
4. 32640 3.0 44.0 (-41.0)#4 48.0 (-45.0)#53
5. 32321 3.0 44.0 (-41.0)#5 48.0 (-45.0)#64
6. 32112 4.0 44.0 (-40.0)#6 48.0 (-44.0)#111
7. 33620 4.0 44.0 (-40.0)#7 48.0 (-44.0)#118
8. 34945 4.0 44.0 (-40.0)#8 48.0 (-44.0)#124
9. 32331 4.0 44.0 (-40.0)#9 48.0 (-44.0)#131
10. 32058 6.0 44.0 (-38.0)#10 48.0 (-42.0)#266
11. 34652 7.0 44.0 (-37.0)#11 48.0 (-41.0)#318
12. 33332 7.0 44.0 (-37.0)#12 48.0 (-41.0)#327
13. 32038 7.0 44.0 (-37.0)#13 48.0 (-41.0)#334
14. 32145 7.0 44.0 (-37.0)#14 48.0 (-41.0)#355
15. 32091 8.0 44.0 (-36.0)#15 48.0 (-40.0)#418
16. 32351 8.0 44.0 (-36.0)#16 48.0 (-40.0)#419
17. 32066 8.0 44.0 (-36.0)#17 48.0 (-40.0)#456
18. 32566 9.0 44.0 (-35.0)#18 48.0 (-39.0)#550
19. 34683 9.0 44.0 (-35.0)#19 48.0 (-39.0)#552
20. 33606 9.0 44.0 (-35.0)#20 48.0 (-39.0)#558
21. 34957 9.0 44.0 (-35.0)#21 48.0 (-39.0)#559
22. 32204 9.0 44.0 (-35.0)#22 48.0 (-39.0)#588
23. 32824 10.0 44.0 (-34.0)#23 48.0 (-38.0)#674
24. 32304 10.0 44.0 (-34.0)#24 48.0 (-38.0)#676
25. 33852 10.0 44.0 (-34.0)#25 48.0 (-38.0)#685
26. 32609 10.0 44.0 (-34.0)#26 48.0 (-38.0)#687
27. 34446 10.0 44.0 (-34.0)#27 48.0 (-38.0)#688
28. 33706 10.0 44.0 (-34.0)#28 48.0 (-38.0)#699
29. 34235 10.0 44.0 (-34.0)#29 48.0 (-38.0)#703
30. 33316 10.0 44.0 (-34.0)#30 48.0 (-38.0)#713
31. 32118 11.0 44.0 (-33.0)#31 48.0 (-37.0)#847
32. 32176 11.0 44.0 (-33.0)#32 48.0 (-37.0)#858
33. 33839 11.0 44.0 (-33.0)#33 48.0 (-37.0)#926
34. 32622 11.0 44.0 (-33.0)#34 48.0 (-37.0)#957
35. 33029 12.0 44.0 (-32.0)#35 48.0 (-36.0)#994
36. 32819 12.0 44.0 (-32.0)#36 48.0 (-36.0)#1,003
37. 33966 12.0 44.0 (-32.0)#37 48.0 (-36.0)#1,036
38. 32828 13.0 44.0 (-31.0)#38 48.0 (-35.0)#1,159
39. 32608 13.0 44.0 (-31.0)#39 48.0 (-35.0)#1,160
40. 33755 13.0 44.0 (-31.0)#40 48.0 (-35.0)#1,170
41. 33137 13.0 44.0 (-31.0)#41 48.0 (-35.0)#1,173
42. 32606 13.0 44.0 (-31.0)#42 48.0 (-35.0)#1,174
43. 33455 13.0 44.0 (-31.0)#43 48.0 (-35.0)#1,181
44. 33549 13.0 44.0 (-31.0)#44 48.0 (-35.0)#1,190
45. 32407 13.0 44.0 (-31.0)#45 48.0 (-35.0)#1,204
46. 32446 13.0 44.0 (-31.0)#46 48.0 (-35.0)#1,216
47. 32508 13.0 44.0 (-31.0)#47 48.0 (-35.0)#1,260
48. 33908 14.0 44.0 (-30.0)#48 48.0 (-34.0)#1,351
49. 33545 14.0 44.0 (-30.0)#49 48.0 (-34.0)#1,361
50. 33444 14.0 44.0 (-30.0)#50 48.0 (-34.0)#1,363
51. 32129 14.0 44.0 (-30.0)#51 48.0 (-34.0)#1,364
52. 33602 14.0 44.0 (-30.0)#52 48.0 (-34.0)#1,377
53. 33567 14.0 44.0 (-30.0)#53 48.0 (-34.0)#1,389
54. 32567 14.0 44.0 (-30.0)#54 48.0 (-34.0)#1,441
55. 34293 15.0 44.0 (-29.0)#55 48.0 (-33.0)#1,534
56. 32810 15.0 44.0 (-29.0)#56 48.0 (-33.0)#1,541
57. 32327 15.0 44.0 (-29.0)#57 48.0 (-33.0)#1,547
58. 33771 15.0 44.0 (-29.0)#58 48.0 (-33.0)#1,548
59. 33950 15.0 44.0 (-29.0)#59 48.0 (-33.0)#1,551
60. 34134 15.0 44.0 (-29.0)#60 48.0 (-33.0)#1,569
61. 32801 15.0 44.0 (-29.0)#61 48.0 (-33.0)#1,571
62. 32310 15.0 44.0 (-29.0)#62 48.0 (-33.0)#1,573
63. 34481 16.0 44.0 (-28.0)#63 48.0 (-32.0)#1,752
64. 34212 16.0 44.0 (-28.0)#64 48.0 (-32.0)#1,754
65. 32308 16.0 44.0 (-28.0)#65 48.0 (-32.0)#1,756
66. 33431 16.0 44.0 (-28.0)#66 48.0 (-32.0)#1,758
67. 34238 16.0 44.0 (-28.0)#67 48.0 (-32.0)#1,759
68. 32821 16.0 44.0 (-28.0)#68 48.0 (-32.0)#1,766
69. 32433 16.0 44.0 (-28.0)#69 48.0 (-32.0)#1,770
70. 32920 16.0 44.0 (-28.0)#70 48.0 (-32.0)#1,794
71. 33193 17.0 44.0 (-27.0)#71 48.0 (-31.0)#1,927
72. 32216 17.0 44.0 (-27.0)#72 48.0 (-31.0)#1,931
73. 33881 17.0 44.0 (-27.0)#73 48.0 (-31.0)#1,933
74. 33569 17.0 44.0 (-27.0)#74 48.0 (-31.0)#1,947
75. 32080 17.0 44.0 (-27.0)#75 48.0 (-31.0)#1,956
76. 33330 17.0 44.0 (-27.0)#76 48.0 (-31.0)#1,969
77. 33483 17.0 44.0 (-27.0)#77 48.0 (-31.0)#1,971
78. 34602 17.0 44.0 (-27.0)#78 48.0 (-31.0)#1,988
79. 32465 17.0 44.0 (-27.0)#79 48.0 (-31.0)#1,995
80. 32603 17.0 44.0 (-27.0)#80 48.0 (-31.0)#2,007
81. 32607 18.0 44.0 (-26.0)#81 48.0 (-30.0)#2,128
82. 32927 18.0 44.0 (-26.0)#82 48.0 (-30.0)#2,138
83. 34285 18.0 44.0 (-26.0)#83 48.0 (-30.0)#2,161
84. 34211 18.0 44.0 (-26.0)#84 48.0 (-30.0)#2,168
85. 32908 18.0 44.0 (-26.0)#85 48.0 (-30.0)#2,178
86. 32445 18.0 44.0 (-26.0)#86 48.0 (-30.0)#2,263
87. 34698 19.0 44.0 (-25.0)#87 48.0 (-29.0)#2,332
88. 33141 19.0 44.0 (-25.0)#88 48.0 (-29.0)#2,335
89. 33543 19.0 44.0 (-25.0)#89 48.0 (-29.0)#2,336
90. 32024 19.0 44.0 (-25.0)#90 48.0 (-29.0)#2,363
91. 34984 19.0 44.0 (-25.0)#91 48.0 (-29.0)#2,372
92. 33976 19.0 44.0 (-25.0)#92 48.0 (-29.0)#2,375
93. 33534 19.0 44.0 (-25.0)#93 48.0 (-29.0)#2,378
94. 34145 19.0 44.0 (-25.0)#94 48.0 (-29.0)#2,383
95. 33708 19.0 44.0 (-25.0)#95 48.0 (-29.0)#2,388
96. 33469 19.0 44.0 (-25.0)#96 48.0 (-29.0)#2,392
97. 32040 19.0 44.0 (-25.0)#97 48.0 (-29.0)#2,422
98. 33070 19.0 44.0 (-25.0)#98 48.0 (-29.0)#2,440
99. 32137 20.0 44.0 (-24.0)#99 48.0 (-28.0)#2,548
100. 33897 20.0 44.0 (-24.0)#100 48.0 (-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.