Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Connecticut

RELATED REPORTS & OPTIONS

Lowest Birth Rate | Below Poverty
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 Below Poverty Level in Connecticut

40.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Connecticut Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Connecticut

Zip Code Births / 1,000 Women vs State vs National
1. 06062 2.0 45.0 (-43.0)#1 53.0 (-51.0)#12
2. 06798 6.0 45.0 (-39.0)#2 53.0 (-47.0)#216
3. 06471 6.0 45.0 (-39.0)#3 53.0 (-47.0)#220
4. 06334 6.0 45.0 (-39.0)#4 53.0 (-47.0)#246
5. 06092 7.0 45.0 (-38.0)#5 53.0 (-46.0)#302
6. 06043 8.0 45.0 (-37.0)#6 53.0 (-45.0)#385
7. 06380 9.0 45.0 (-36.0)#7 53.0 (-44.0)#516
8. 06260 10.0 45.0 (-35.0)#8 53.0 (-43.0)#601
9. 06795 11.0 45.0 (-34.0)#9 53.0 (-42.0)#716
10. 06052 11.0 45.0 (-34.0)#10 53.0 (-42.0)#728
11. 06254 11.0 45.0 (-34.0)#11 53.0 (-42.0)#780
12. 06365 13.0 45.0 (-32.0)#12 53.0 (-40.0)#1,037
13. 06754 13.0 45.0 (-32.0)#13 53.0 (-40.0)#1,077
14. 06776 15.0 45.0 (-30.0)#14 53.0 (-38.0)#1,290
15. 06032 15.0 45.0 (-30.0)#15 53.0 (-38.0)#1,304
16. 06480 15.0 45.0 (-30.0)#16 53.0 (-38.0)#1,321
17. 06073 15.0 45.0 (-30.0)#17 53.0 (-38.0)#1,343
18. 06103 15.0 45.0 (-30.0)#18 53.0 (-38.0)#1,396
19. 06512 16.0 45.0 (-29.0)#19 53.0 (-37.0)#1,482
20. 06098 16.0 45.0 (-29.0)#20 53.0 (-37.0)#1,507
21. 06403 16.0 45.0 (-29.0)#21 53.0 (-37.0)#1,529
22. 06026 16.0 45.0 (-29.0)#22 53.0 (-37.0)#1,537
23. 06518 17.0 45.0 (-28.0)#23 53.0 (-36.0)#1,661
24. 06831 17.0 45.0 (-28.0)#24 53.0 (-36.0)#1,672
25. 06384 17.0 45.0 (-28.0)#25 53.0 (-36.0)#1,753
26. 06482 18.0 45.0 (-27.0)#26 53.0 (-35.0)#1,857
27. 06235 18.0 45.0 (-27.0)#27 53.0 (-35.0)#1,940
28. 06320 19.0 45.0 (-26.0)#28 53.0 (-34.0)#2,012
29. 06401 19.0 45.0 (-26.0)#29 53.0 (-34.0)#2,027
30. 06351 19.0 45.0 (-26.0)#30 53.0 (-34.0)#2,037
31. 06779 19.0 45.0 (-26.0)#31 53.0 (-34.0)#2,068
32. 06250 19.0 45.0 (-26.0)#32 53.0 (-34.0)#2,078
33. 06335 19.0 45.0 (-26.0)#33 53.0 (-34.0)#2,080
34. 06078 20.0 45.0 (-25.0)#34 53.0 (-33.0)#2,247
35. 06901 20.0 45.0 (-25.0)#35 53.0 (-33.0)#2,252
36. 06469 20.0 45.0 (-25.0)#36 53.0 (-33.0)#2,316
37. 06242 20.0 45.0 (-25.0)#37 53.0 (-33.0)#2,372
38. 06375 21.0 45.0 (-24.0)#38 53.0 (-32.0)#2,558
39. 06777 21.0 45.0 (-24.0)#39 53.0 (-32.0)#2,600
40. 06515 22.0 45.0 (-23.0)#40 53.0 (-31.0)#2,690
41. 06357 22.0 45.0 (-23.0)#41 53.0 (-31.0)#2,713
42. 06333 22.0 45.0 (-23.0)#42 53.0 (-31.0)#2,742
43. 06451 23.0 45.0 (-22.0)#43 53.0 (-30.0)#2,937
44. 06226 23.0 45.0 (-22.0)#44 53.0 (-30.0)#2,949
45. 06897 23.0 45.0 (-22.0)#45 53.0 (-30.0)#2,952
46. 06070 23.0 45.0 (-22.0)#46 53.0 (-30.0)#2,965
47. 06268 23.0 45.0 (-22.0)#47 53.0 (-30.0)#2,973
48. 06239 23.0 45.0 (-22.0)#48 53.0 (-30.0)#2,978
49. 06883 23.0 45.0 (-22.0)#49 53.0 (-30.0)#2,980
50. 06371 23.0 45.0 (-22.0)#50 53.0 (-30.0)#2,983
51. 06712 23.0 45.0 (-22.0)#51 53.0 (-30.0)#2,987
52. 06510 23.0 45.0 (-22.0)#52 53.0 (-30.0)#3,044
53. 06412 23.0 45.0 (-22.0)#53 53.0 (-30.0)#3,048
54. 06511 24.0 45.0 (-21.0)#54 53.0 (-29.0)#3,140
55. 06489 24.0 45.0 (-21.0)#55 53.0 (-29.0)#3,159
56. 06119 24.0 45.0 (-21.0)#56 53.0 (-29.0)#3,207
57. 06085 24.0 45.0 (-21.0)#57 53.0 (-29.0)#3,244
58. 06359 24.0 45.0 (-21.0)#58 53.0 (-29.0)#3,265
59. 06065 24.0 45.0 (-21.0)#59 53.0 (-29.0)#3,371
60. 06475 25.0 45.0 (-20.0)#60 53.0 (-28.0)#3,497
61. 06787 25.0 45.0 (-20.0)#61 53.0 (-28.0)#3,520
62. 06330 25.0 45.0 (-20.0)#62 53.0 (-28.0)#3,573
63. 06377 25.0 45.0 (-20.0)#63 53.0 (-28.0)#3,577
64. 06027 25.0 45.0 (-20.0)#64 53.0 (-28.0)#3,627
65. 06796 25.0 45.0 (-20.0)#65 53.0 (-28.0)#3,641
66. 06109 26.0 45.0 (-19.0)#66 53.0 (-27.0)#3,697
67. 06906 26.0 45.0 (-19.0)#67 53.0 (-27.0)#3,759
68. 06237 26.0 45.0 (-19.0)#68 53.0 (-27.0)#3,791
69. 06422 27.0 45.0 (-18.0)#69 53.0 (-26.0)#4,034
70. 06057 27.0 45.0 (-18.0)#70 53.0 (-26.0)#4,045
71. 06423 27.0 45.0 (-18.0)#71 53.0 (-26.0)#4,063
72. 06420 27.0 45.0 (-18.0)#72 53.0 (-26.0)#4,066
73. 06280 28.0 45.0 (-17.0)#73 53.0 (-25.0)#4,355
74. 06483 29.0 45.0 (-16.0)#74 53.0 (-24.0)#4,525
75. 06281 29.0 45.0 (-16.0)#75 53.0 (-24.0)#4,574
76. 06481 29.0 45.0 (-16.0)#76 53.0 (-24.0)#4,661
77. 06513 30.0 45.0 (-15.0)#77 53.0 (-23.0)#4,737
78. 06001 30.0 45.0 (-15.0)#78 53.0 (-23.0)#4,798
79. 06604 31.0 45.0 (-14.0)#79 53.0 (-22.0)#5,063
80. 06437 31.0 45.0 (-14.0)#80 53.0 (-22.0)#5,089
81. 06443 31.0 45.0 (-14.0)#81 53.0 (-22.0)#5,111
82. 06331 31.0 45.0 (-14.0)#82 53.0 (-22.0)#5,188
83. 06606 32.0 45.0 (-13.0)#83 53.0 (-21.0)#5,322
84. 06106 32.0 45.0 (-13.0)#84 53.0 (-21.0)#5,340
85. 06095 32.0 45.0 (-13.0)#85 53.0 (-21.0)#5,364
86. 06107 32.0 45.0 (-13.0)#86 53.0 (-21.0)#5,395
87. 06370 32.0 45.0 (-13.0)#87 53.0 (-21.0)#5,451
88. 06516 33.0 45.0 (-12.0)#88 53.0 (-20.0)#5,604
89. 06492 33.0 45.0 (-12.0)#89 53.0 (-20.0)#5,621
90. 06105 33.0 45.0 (-12.0)#90 53.0 (-20.0)#5,702
91. 06438 33.0 45.0 (-12.0)#91 53.0 (-20.0)#5,836
92. 06478 34.0 45.0 (-11.0)#92 53.0 (-19.0)#6,048
93. 06853 34.0 45.0 (-11.0)#93 53.0 (-19.0)#6,143
94. 06069 34.0 45.0 (-11.0)#94 53.0 (-19.0)#6,161
95. 06790 35.0 45.0 (-10.00)#95 53.0 (-18.0)#6,287
96. 06410 35.0 45.0 (-10.00)#96 53.0 (-18.0)#6,311
97. 06112 35.0 45.0 (-10.00)#97 53.0 (-18.0)#6,340
98. 06461 35.0 45.0 (-10.00)#98 53.0 (-18.0)#6,373
99. 06441 35.0 45.0 (-10.00)#99 53.0 (-18.0)#6,430
100. 06793 35.0 45.0 (-10.00)#100 53.0 (-18.0)#6,500

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Connecticut?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Connecticut are:
#1
2.0
#2
6.0
#3
6.0
#4
6.0
#5
7.0
#6
8.0
#7
9.0
#8
10.0
#9
11.0
#10
11.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Connecticut?
06062 has the Fewest Births per 1,000 Women Below Poverty Level in Connecticut with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Connecticut?
Number of Births per 1,000 Women Below Poverty Level in Connecticut is 45.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.