Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut

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Lowest 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
Connecticut
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut

40.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut

Zip Code Births / 1,000 Women vs State vs National
1. 06339 3.0 34.0 (-31.0)#1 32.0 (-29.0)#178
2. 06062 4.0 34.0 (-30.0)#2 32.0 (-28.0)#281
3. 06239 4.0 34.0 (-30.0)#3 32.0 (-28.0)#317
4. 06451 5.0 34.0 (-29.0)#4 32.0 (-27.0)#424
5. 06401 5.0 34.0 (-29.0)#5 32.0 (-27.0)#449
6. 06032 5.0 34.0 (-29.0)#6 32.0 (-27.0)#456
7. 06371 5.0 34.0 (-29.0)#7 32.0 (-27.0)#500
8. 06103 5.0 34.0 (-29.0)#8 32.0 (-27.0)#563
9. 06776 7.0 34.0 (-27.0)#9 32.0 (-25.0)#810
10. 06705 7.0 34.0 (-27.0)#10 32.0 (-25.0)#820
11. 06109 9.0 34.0 (-25.0)#11 32.0 (-23.0)#1,320
12. 06515 10.0 34.0 (-24.0)#12 32.0 (-22.0)#1,639
13. 06483 10.0 34.0 (-24.0)#13 32.0 (-22.0)#1,655
14. 06480 10.0 34.0 (-24.0)#14 32.0 (-22.0)#1,700
15. 06787 10.0 34.0 (-24.0)#15 32.0 (-22.0)#1,724
16. 06278 10.0 34.0 (-24.0)#16 32.0 (-22.0)#1,748
17. 06105 11.0 34.0 (-23.0)#17 32.0 (-21.0)#1,909
18. 06379 11.0 34.0 (-23.0)#18 32.0 (-21.0)#1,981
19. 06092 13.0 34.0 (-21.0)#19 32.0 (-19.0)#2,625
20. 06811 14.0 34.0 (-20.0)#20 32.0 (-18.0)#2,754
21. 06040 15.0 34.0 (-19.0)#21 32.0 (-17.0)#3,050
22. 06512 15.0 34.0 (-19.0)#22 32.0 (-17.0)#3,074
23. 06518 15.0 34.0 (-19.0)#23 32.0 (-17.0)#3,110
24. 06519 15.0 34.0 (-19.0)#24 32.0 (-17.0)#3,138
25. 06096 15.0 34.0 (-19.0)#25 32.0 (-17.0)#3,158
26. 06231 15.0 34.0 (-19.0)#26 32.0 (-17.0)#3,244
27. 06375 15.0 34.0 (-19.0)#27 32.0 (-17.0)#3,246
28. 06712 16.0 34.0 (-18.0)#28 32.0 (-16.0)#3,460
29. 06249 16.0 34.0 (-18.0)#29 32.0 (-16.0)#3,487
30. 06606 17.0 34.0 (-17.0)#30 32.0 (-15.0)#3,603
31. 06106 17.0 34.0 (-17.0)#31 32.0 (-15.0)#3,626
32. 06801 17.0 34.0 (-17.0)#32 32.0 (-15.0)#3,702
33. 06482 17.0 34.0 (-17.0)#33 32.0 (-15.0)#3,753
34. 06019 17.0 34.0 (-17.0)#34 32.0 (-15.0)#3,764
35. 06260 17.0 34.0 (-17.0)#35 32.0 (-15.0)#3,768
36. 06853 17.0 34.0 (-17.0)#36 32.0 (-15.0)#3,843
37. 06360 18.0 34.0 (-16.0)#37 32.0 (-14.0)#3,946
38. 06905 18.0 34.0 (-16.0)#38 32.0 (-14.0)#4,023
39. 06037 18.0 34.0 (-16.0)#39 32.0 (-14.0)#4,032
40. 06831 18.0 34.0 (-16.0)#40 32.0 (-14.0)#4,060
41. 06119 18.0 34.0 (-16.0)#41 32.0 (-14.0)#4,061
42. 06335 18.0 34.0 (-16.0)#42 32.0 (-14.0)#4,122
43. 06513 19.0 34.0 (-15.0)#43 32.0 (-13.0)#4,247
44. 06320 19.0 34.0 (-15.0)#44 32.0 (-13.0)#4,287
45. 06706 19.0 34.0 (-15.0)#45 32.0 (-13.0)#4,362
46. 06013 19.0 34.0 (-15.0)#46 32.0 (-13.0)#4,393
47. 06331 19.0 34.0 (-15.0)#47 32.0 (-13.0)#4,431
48. 06114 20.0 34.0 (-14.0)#48 32.0 (-12.0)#4,604
49. 06370 20.0 34.0 (-14.0)#49 32.0 (-12.0)#4,707
50. 06759 20.0 34.0 (-14.0)#50 32.0 (-12.0)#4,733
51. 06610 21.0 34.0 (-13.0)#51 32.0 (-11.0)#4,926
52. 06355 21.0 34.0 (-13.0)#52 32.0 (-11.0)#4,994
53. 06281 21.0 34.0 (-13.0)#53 32.0 (-11.0)#5,042
54. 06877 22.0 34.0 (-12.0)#54 32.0 (-10.00)#5,256
55. 06351 22.0 34.0 (-12.0)#55 32.0 (-10.00)#5,300
56. 06441 22.0 34.0 (-12.0)#56 32.0 (-10.00)#5,370
57. 06489 23.0 34.0 (-11.0)#57 32.0 (-9.00)#5,512
58. 06906 23.0 34.0 (-11.0)#58 32.0 (-9.00)#5,620
59. 06438 23.0 34.0 (-11.0)#59 32.0 (-9.00)#5,677
60. 06070 24.0 34.0 (-10.00)#60 32.0 (-8.00)#5,904
61. 06460 25.0 34.0 (-9.00)#61 32.0 (-7.00)#6,120
62. 06340 25.0 34.0 (-9.00)#62 32.0 (-7.00)#6,149
63. 06443 25.0 34.0 (-9.00)#63 32.0 (-7.00)#6,209
64. 06716 25.0 34.0 (-9.00)#64 32.0 (-7.00)#6,223
65. 06413 25.0 34.0 (-9.00)#65 32.0 (-7.00)#6,241
66. 06478 25.0 34.0 (-9.00)#66 32.0 (-7.00)#6,246
67. 06382 25.0 34.0 (-9.00)#67 32.0 (-7.00)#6,257
68. 06754 25.0 34.0 (-9.00)#68 32.0 (-7.00)#6,344
69. 06010 26.0 34.0 (-8.00)#69 32.0 (-6.00)#6,384
70. 06457 26.0 34.0 (-8.00)#70 32.0 (-6.00)#6,398
71. 06437 26.0 34.0 (-8.00)#71 32.0 (-6.00)#6,512
72. 06112 26.0 34.0 (-8.00)#72 32.0 (-6.00)#6,513
73. 06468 26.0 34.0 (-8.00)#73 32.0 (-6.00)#6,530
74. 06120 26.0 34.0 (-8.00)#74 32.0 (-6.00)#6,554
75. 06268 26.0 34.0 (-8.00)#75 32.0 (-6.00)#6,558
76. 06516 27.0 34.0 (-7.00)#76 32.0 (-5.00)#6,708
77. 06790 27.0 34.0 (-7.00)#77 32.0 (-5.00)#6,770
78. 06708 27.0 34.0 (-7.00)#78 32.0 (-5.00)#6,792
79. 06052 27.0 34.0 (-7.00)#79 32.0 (-5.00)#6,901
80. 06098 28.0 34.0 (-6.00)#80 32.0 (-4.00)#7,194
81. 06330 28.0 34.0 (-6.00)#81 32.0 (-4.00)#7,244
82. 06704 30.0 34.0 (-4.00)#82 32.0 (-2.00)#7,657
83. 06067 30.0 34.0 (-4.00)#83 32.0 (-2.00)#7,695
84. 06901 30.0 34.0 (-4.00)#84 32.0 (-2.00)#7,754
85. 06511 31.0 34.0 (-3.00)#85 32.0 (-1.000)#7,868
86. 06477 31.0 34.0 (-3.00)#86 32.0 (-1.000)#8,010
87. 06076 31.0 34.0 (-3.00)#87 32.0 (-1.000)#8,023
88. 06085 31.0 34.0 (-3.00)#88 32.0 (-1.000)#8,047
89. 06280 31.0 34.0 (-3.00)#89 32.0 (-1.000)#8,088
90. 06614 32.0 34.0 (-2.00)#90 32.0 (=0.000)#8,210
91. 06107 32.0 34.0 (-2.00)#91 32.0 (=0.000)#8,278
92. 06492 33.0 34.0 (-1.000)#92 32.0 (+1.000)#8,465
93. 06242 33.0 34.0 (-1.000)#93 32.0 (+1.000)#8,686
94. 06066 34.0 34.0 (=0.000)#94 32.0 (+2.00)#8,798
95. 06095 34.0 34.0 (=0.000)#95 32.0 (+2.00)#8,802
96. 06410 34.0 34.0 (=0.000)#96 32.0 (+2.00)#8,806
97. 06897 35.0 34.0 (+1.000)#97 32.0 (+3.00)#9,129
98. 06058 35.0 34.0 (+1.000)#98 32.0 (+3.00)#9,224
99. 06810 36.0 34.0 (+2.00)#99 32.0 (+4.00)#9,263
100. 06082 36.0 34.0 (+2.00)#100 32.0 (+4.00)#9,285

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut are:
#1
3.0
#2
4.0
#3
4.0
#4
5.0
#5
5.0
#6
5.0
#7
5.0
#8
5.0
#9
7.0
#10
7.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut?
06339 has the Fewest Births per 1,000 Women Over the Age of 35 in Connecticut with 3.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Connecticut?
Number of Births per 1,000 Women Over the Age of 35 in Connecticut is 34.0.
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.