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

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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
Connecticut
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 06062 2.0 43.0 (-41.0)#1 48.0 (-46.0)#15
2. 06702 5.0 43.0 (-38.0)#2 48.0 (-43.0)#209
3. 06518 6.0 43.0 (-37.0)#3 48.0 (-42.0)#241
4. 06798 7.0 43.0 (-36.0)#4 48.0 (-41.0)#336
5. 06471 7.0 43.0 (-36.0)#5 48.0 (-41.0)#344
6. 06280 8.0 43.0 (-35.0)#6 48.0 (-40.0)#498
7. 06239 10.0 43.0 (-33.0)#7 48.0 (-38.0)#712
8. 06260 10.0 43.0 (-33.0)#8 48.0 (-38.0)#721
9. 06380 10.0 43.0 (-33.0)#9 48.0 (-38.0)#776
10. 06043 11.0 43.0 (-32.0)#10 48.0 (-37.0)#906
11. 06092 11.0 43.0 (-32.0)#11 48.0 (-37.0)#917
12. 06604 12.0 43.0 (-31.0)#12 48.0 (-36.0)#1,002
13. 06787 12.0 43.0 (-31.0)#13 48.0 (-36.0)#1,059
14. 06320 13.0 43.0 (-30.0)#14 48.0 (-35.0)#1,169
15. 06001 13.0 43.0 (-30.0)#15 48.0 (-35.0)#1,184
16. 06475 13.0 43.0 (-30.0)#16 48.0 (-35.0)#1,218
17. 06795 14.0 43.0 (-29.0)#17 48.0 (-34.0)#1,386
18. 06371 14.0 43.0 (-29.0)#18 48.0 (-34.0)#1,400
19. 06052 14.0 43.0 (-29.0)#19 48.0 (-34.0)#1,410
20. 06279 14.0 43.0 (-29.0)#20 48.0 (-34.0)#1,430
21. 06254 14.0 43.0 (-29.0)#21 48.0 (-34.0)#1,487
22. 06831 15.0 43.0 (-28.0)#22 48.0 (-33.0)#1,572
23. 06032 16.0 43.0 (-27.0)#23 48.0 (-32.0)#1,769
24. 06357 16.0 43.0 (-27.0)#24 48.0 (-32.0)#1,785
25. 06365 16.0 43.0 (-27.0)#25 48.0 (-32.0)#1,829
26. 06901 17.0 43.0 (-26.0)#26 48.0 (-31.0)#1,985
27. 06512 18.0 43.0 (-25.0)#27 48.0 (-30.0)#2,132
28. 06335 18.0 43.0 (-25.0)#28 48.0 (-30.0)#2,214
29. 06754 18.0 43.0 (-25.0)#29 48.0 (-30.0)#2,276
30. 06027 18.0 43.0 (-25.0)#30 48.0 (-30.0)#2,295
31. 06098 19.0 43.0 (-24.0)#31 48.0 (-29.0)#2,406
32. 06480 19.0 43.0 (-24.0)#32 48.0 (-29.0)#2,412
33. 06776 20.0 43.0 (-23.0)#33 48.0 (-28.0)#2,579
34. 06515 20.0 43.0 (-23.0)#34 48.0 (-28.0)#2,601
35. 06119 20.0 43.0 (-23.0)#35 48.0 (-28.0)#2,623
36. 06268 20.0 43.0 (-23.0)#36 48.0 (-28.0)#2,631
37. 06026 20.0 43.0 (-23.0)#37 48.0 (-28.0)#2,690
38. 06423 20.0 43.0 (-23.0)#38 48.0 (-28.0)#2,697
39. 06377 20.0 43.0 (-23.0)#39 48.0 (-28.0)#2,723
40. 06511 21.0 43.0 (-22.0)#40 48.0 (-27.0)#2,805
41. 06073 21.0 43.0 (-22.0)#41 48.0 (-27.0)#2,945
42. 06779 22.0 43.0 (-21.0)#42 48.0 (-26.0)#3,175
43. 06516 24.0 43.0 (-19.0)#43 48.0 (-24.0)#3,577
44. 06513 24.0 43.0 (-19.0)#44 48.0 (-24.0)#3,593
45. 06489 24.0 43.0 (-19.0)#45 48.0 (-24.0)#3,606
46. 06109 24.0 43.0 (-19.0)#46 48.0 (-24.0)#3,624
47. 06401 24.0 43.0 (-19.0)#47 48.0 (-24.0)#3,655
48. 06226 24.0 43.0 (-19.0)#48 48.0 (-24.0)#3,657
49. 06482 24.0 43.0 (-19.0)#49 48.0 (-24.0)#3,682
50. 06078 24.0 43.0 (-19.0)#50 48.0 (-24.0)#3,697
51. 06883 24.0 43.0 (-19.0)#51 48.0 (-24.0)#3,701
52. 06235 24.0 43.0 (-19.0)#52 48.0 (-24.0)#3,796
53. 06351 25.0 43.0 (-18.0)#53 48.0 (-23.0)#3,964
54. 06382 25.0 43.0 (-18.0)#54 48.0 (-23.0)#3,999
55. 06897 26.0 43.0 (-17.0)#55 48.0 (-22.0)#4,222
56. 06018 26.0 43.0 (-17.0)#56 48.0 (-22.0)#4,362
57. 06242 26.0 43.0 (-17.0)#57 48.0 (-22.0)#4,400
58. 06469 27.0 43.0 (-16.0)#58 48.0 (-21.0)#4,655
59. 06021 27.0 43.0 (-16.0)#59 48.0 (-21.0)#4,693
60. 06451 28.0 43.0 (-15.0)#60 48.0 (-20.0)#4,806
61. 06112 28.0 43.0 (-15.0)#61 48.0 (-20.0)#4,816
62. 06850 28.0 43.0 (-15.0)#62 48.0 (-20.0)#4,831
63. 06355 29.0 43.0 (-14.0)#63 48.0 (-19.0)#5,133
64. 06906 29.0 43.0 (-14.0)#64 48.0 (-19.0)#5,146
65. 06786 29.0 43.0 (-14.0)#65 48.0 (-19.0)#5,151
66. 06085 29.0 43.0 (-14.0)#66 48.0 (-19.0)#5,165
67. 06902 30.0 43.0 (-13.0)#67 48.0 (-18.0)#5,320
68. 06114 30.0 43.0 (-13.0)#68 48.0 (-18.0)#5,397
69. 06437 30.0 43.0 (-13.0)#69 48.0 (-18.0)#5,415
70. 06510 30.0 43.0 (-13.0)#70 48.0 (-18.0)#5,528
71. 06375 30.0 43.0 (-13.0)#71 48.0 (-18.0)#5,533
72. 06468 31.0 43.0 (-12.0)#72 48.0 (-17.0)#5,719
73. 06716 31.0 43.0 (-12.0)#73 48.0 (-17.0)#5,730
74. 06070 31.0 43.0 (-12.0)#74 48.0 (-17.0)#5,736
75. 06712 31.0 43.0 (-12.0)#75 48.0 (-17.0)#5,760
76. 06359 31.0 43.0 (-12.0)#76 48.0 (-17.0)#5,801
77. 06606 32.0 43.0 (-11.0)#77 48.0 (-16.0)#5,913
78. 06903 32.0 43.0 (-11.0)#78 48.0 (-16.0)#6,043
79. 06333 32.0 43.0 (-11.0)#79 48.0 (-16.0)#6,079
80. 06250 32.0 43.0 (-11.0)#80 48.0 (-16.0)#6,087
81. 06277 32.0 43.0 (-11.0)#81 48.0 (-16.0)#6,118
82. 06412 32.0 43.0 (-11.0)#82 48.0 (-16.0)#6,126
83. 06106 33.0 43.0 (-10.00)#83 48.0 (-15.0)#6,278
84. 06611 33.0 43.0 (-10.00)#84 48.0 (-15.0)#6,283
85. 06422 33.0 43.0 (-10.00)#85 48.0 (-15.0)#6,424
86. 06237 33.0 43.0 (-10.00)#86 48.0 (-15.0)#6,442
87. 06420 33.0 43.0 (-10.00)#87 48.0 (-15.0)#6,454
88. 06855 34.0 43.0 (-9.00)#88 48.0 (-14.0)#6,750
89. 06370 34.0 43.0 (-9.00)#89 48.0 (-14.0)#6,751
90. 06492 35.0 43.0 (-8.00)#90 48.0 (-13.0)#6,895
91. 06035 35.0 43.0 (-8.00)#91 48.0 (-13.0)#7,039
92. 06331 35.0 43.0 (-8.00)#92 48.0 (-13.0)#7,067
93. 06438 35.0 43.0 (-8.00)#93 48.0 (-13.0)#7,102
94. 06037 36.0 43.0 (-7.00)#94 48.0 (-12.0)#7,280
95. 06443 36.0 43.0 (-7.00)#95 48.0 (-12.0)#7,287
96. 06519 36.0 43.0 (-7.00)#96 48.0 (-12.0)#7,295
97. 06810 37.0 43.0 (-6.00)#97 48.0 (-11.0)#7,485
98. 06095 37.0 43.0 (-6.00)#98 48.0 (-11.0)#7,547
99. 06410 37.0 43.0 (-6.00)#99 48.0 (-11.0)#7,553
100. 06483 37.0 43.0 (-6.00)#100 48.0 (-11.0)#7,624

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Connecticut?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Connecticut are:
#1
2.0
#2
5.0
#3
6.0
#4
7.0
#5
7.0
#6
8.0
#7
10.0
#8
10.0
#9
10.0
#10
11.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Connecticut?
06062 has the Lowest Births per 1,000 Women in Labor Force in Connecticut with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Connecticut?
Number Births per 1,000 Women in Labor Force in Connecticut is 43.0.
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.