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

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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
Connecticut
Compare Zip Codes
Comparison Subject

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

0.0
400.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 06387 333.0 43.0 (+290)#1 48.0 (+285)#384
2. 06444 314.0 43.0 (+271)#2 48.0 (+266)#430
3. 06039 219.0 43.0 (+176)#3 48.0 (+171)#839
4. 06756 203.0 43.0 (+160)#4 48.0 (+155)#966
5. 06870 146.0 43.0 (+103)#5 48.0 (+98.0)#1,761
6. 06784 132.0 43.0 (+89.0)#6 48.0 (+84.0)#2,128
7. 06042 119.0 43.0 (+76.0)#7 48.0 (+71.0)#2,540
8. 06089 115.0 43.0 (+72.0)#8 48.0 (+67.0)#2,723
9. 06447 113.0 43.0 (+70.0)#9 48.0 (+65.0)#2,801
10. 06807 112.0 43.0 (+69.0)#10 48.0 (+64.0)#2,836
11. 06414 110.0 43.0 (+67.0)#11 48.0 (+62.0)#2,986
12. 06794 109.0 43.0 (+66.0)#12 48.0 (+61.0)#3,029
13. 06385 107.0 43.0 (+64.0)#13 48.0 (+59.0)#3,094
14. 06029 105.0 43.0 (+62.0)#14 48.0 (+57.0)#3,183
15. 06354 103.0 43.0 (+60.0)#15 48.0 (+55.0)#3,327
16. 06374 102.0 43.0 (+59.0)#16 48.0 (+54.0)#3,382
17. 06063 97.0 43.0 (+54.0)#17 48.0 (+49.0)#3,723
18. 06605 95.0 43.0 (+52.0)#18 48.0 (+47.0)#3,830
19. 06248 91.0 43.0 (+48.0)#19 48.0 (+43.0)#4,136
20. 06607 89.0 43.0 (+46.0)#20 48.0 (+41.0)#4,332
21. 06484 88.0 43.0 (+45.0)#21 48.0 (+40.0)#4,395
22. 06016 88.0 43.0 (+45.0)#22 48.0 (+40.0)#4,428
23. 06424 86.0 43.0 (+43.0)#23 48.0 (+38.0)#4,611
24. 06076 83.0 43.0 (+40.0)#24 48.0 (+35.0)#4,919
25. 06238 82.0 43.0 (+39.0)#25 48.0 (+34.0)#5,040
26. 06442 82.0 43.0 (+39.0)#26 48.0 (+34.0)#5,087
27. 06108 81.0 43.0 (+38.0)#27 48.0 (+33.0)#5,148
28. 06051 80.0 43.0 (+37.0)#28 48.0 (+32.0)#5,247
29. 06118 79.0 43.0 (+36.0)#29 48.0 (+31.0)#5,375
30. 06415 78.0 43.0 (+35.0)#30 48.0 (+30.0)#5,507
31. 06470 76.0 43.0 (+33.0)#31 48.0 (+28.0)#5,791
32. 06234 76.0 43.0 (+33.0)#32 48.0 (+28.0)#5,811
33. 06751 76.0 43.0 (+33.0)#33 48.0 (+28.0)#5,832
34. 06082 75.0 43.0 (+32.0)#34 48.0 (+27.0)#5,885
35. 06824 73.0 43.0 (+30.0)#35 48.0 (+25.0)#6,177
36. 06084 73.0 43.0 (+30.0)#36 48.0 (+25.0)#6,210
37. 06820 71.0 43.0 (+28.0)#37 48.0 (+23.0)#6,524
38. 06241 71.0 43.0 (+28.0)#38 48.0 (+23.0)#6,571
39. 06514 70.0 43.0 (+27.0)#39 48.0 (+22.0)#6,693
40. 06890 70.0 43.0 (+27.0)#40 48.0 (+22.0)#6,757
41. 06830 69.0 43.0 (+26.0)#41 48.0 (+21.0)#6,864
42. 06278 69.0 43.0 (+26.0)#42 48.0 (+21.0)#6,942
43. 06023 69.0 43.0 (+26.0)#43 48.0 (+21.0)#6,985
44. 06854 68.0 43.0 (+25.0)#44 48.0 (+20.0)#7,058
45. 06418 68.0 43.0 (+25.0)#45 48.0 (+20.0)#7,110
46. 06608 68.0 43.0 (+25.0)#46 48.0 (+20.0)#7,117
47. 06479 68.0 43.0 (+25.0)#47 48.0 (+20.0)#7,122
48. 06379 68.0 43.0 (+25.0)#48 48.0 (+20.0)#7,127
49. 06610 65.0 43.0 (+22.0)#49 48.0 (+17.0)#7,658
50. 06058 65.0 43.0 (+22.0)#50 48.0 (+17.0)#7,781
51. 06117 63.0 43.0 (+20.0)#51 48.0 (+15.0)#8,096
52. 06517 63.0 43.0 (+20.0)#52 48.0 (+15.0)#8,105
53. 06066 62.0 43.0 (+19.0)#53 48.0 (+14.0)#8,318
54. 06259 62.0 43.0 (+19.0)#54 48.0 (+14.0)#8,433
55. 06033 60.0 43.0 (+17.0)#55 48.0 (+12.0)#8,745
56. 06455 60.0 43.0 (+17.0)#56 48.0 (+12.0)#8,851
57. 06840 58.0 43.0 (+15.0)#57 48.0 (+10.00)#9,230
58. 06812 58.0 43.0 (+15.0)#58 48.0 (+10.00)#9,258
59. 06013 57.0 43.0 (+14.0)#59 48.0 (+9.00)#9,522
60. 06232 57.0 43.0 (+14.0)#60 48.0 (+9.00)#9,561
61. 06477 56.0 43.0 (+13.0)#61 48.0 (+8.00)#9,732
62. 06110 56.0 43.0 (+13.0)#62 48.0 (+8.00)#9,742
63. 06907 56.0 43.0 (+13.0)#63 48.0 (+8.00)#9,761
64. 06853 56.0 43.0 (+13.0)#64 48.0 (+8.00)#9,812
65. 06053 55.0 43.0 (+12.0)#65 48.0 (+7.00)#9,956
66. 06704 54.0 43.0 (+11.0)#66 48.0 (+6.00)#10,242
67. 06880 54.0 43.0 (+11.0)#67 48.0 (+6.00)#10,254
68. 06525 54.0 43.0 (+11.0)#68 48.0 (+6.00)#10,336
69. 06498 54.0 43.0 (+11.0)#69 48.0 (+6.00)#10,348
70. 06708 53.0 43.0 (+10.00)#70 48.0 (+5.00)#10,539
71. 06019 53.0 43.0 (+10.00)#71 48.0 (+5.00)#10,621
72. 06247 53.0 43.0 (+10.00)#72 48.0 (+5.00)#10,677
73. 06339 52.0 43.0 (+9.00)#73 48.0 (+4.00)#10,892
74. 06473 51.0 43.0 (+8.00)#74 48.0 (+3.00)#11,117
75. 06801 51.0 43.0 (+8.00)#75 48.0 (+3.00)#11,137
76. 06478 51.0 43.0 (+8.00)#76 48.0 (+3.00)#11,172
77. 06896 51.0 43.0 (+8.00)#77 48.0 (+3.00)#11,191
78. 06340 50.0 43.0 (+7.00)#78 48.0 (+2.00)#11,384
79. 06877 50.0 43.0 (+7.00)#79 48.0 (+2.00)#11,407
80. 06905 50.0 43.0 (+7.00)#80 48.0 (+2.00)#11,425
81. 06706 50.0 43.0 (+7.00)#81 48.0 (+2.00)#11,442
82. 06450 49.0 43.0 (+6.00)#82 48.0 (+1.000)#11,683
83. 06111 49.0 43.0 (+6.00)#83 48.0 (+1.000)#11,695
84. 06002 49.0 43.0 (+6.00)#84 48.0 (+1.000)#11,733
85. 06378 49.0 43.0 (+6.00)#85 48.0 (+1.000)#11,819
86. 06783 49.0 43.0 (+6.00)#86 48.0 (+1.000)#11,860
87. 06040 48.0 43.0 (+5.00)#87 48.0 (=0.000)#11,949
88. 06770 48.0 43.0 (+5.00)#88 48.0 (=0.000)#11,966
89. 06488 48.0 43.0 (+5.00)#89 48.0 (=0.000)#12,006
90. 06614 47.0 43.0 (+4.00)#90 48.0 (-1.000)#12,250
91. 06804 47.0 43.0 (+4.00)#91 48.0 (-1.000)#12,332
92. 06096 47.0 43.0 (+4.00)#92 48.0 (-1.000)#12,365
93. 06071 47.0 43.0 (+4.00)#93 48.0 (-1.000)#12,375
94. 06759 47.0 43.0 (+4.00)#94 48.0 (-1.000)#12,406
95. 06791 47.0 43.0 (+4.00)#95 48.0 (-1.000)#12,407
96. 06825 46.0 43.0 (+3.00)#96 48.0 (-2.00)#12,636
97. 06851 45.0 43.0 (+2.00)#97 48.0 (-3.00)#12,885
98. 06705 45.0 43.0 (+2.00)#98 48.0 (-3.00)#12,897
99. 06120 45.0 43.0 (+2.00)#99 48.0 (-3.00)#12,968
100. 06413 45.0 43.0 (+2.00)#100 48.0 (-3.00)#12,969

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut are:
#1
333.0
#2
314.0
#3
219.0
#4
203.0
#5
146.0
#6
132.0
#7
119.0
#8
115.0
#9
113.0
#10
112.0
What zip code has the Most Births per 1,000 Women in Labor Force in Connecticut?
06387 has the Most Births per 1,000 Women in Labor Force in Connecticut with 333.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Connecticut?
Number of Births per 1,000 Women in Labor Force in Connecticut is 43.0.
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.