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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Connecticut

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 06444 314.0 45.0 (+269)#1 53.0 (+261)#417
2. 06387 227.0 45.0 (+182)#2 53.0 (+174)#793
3. 06024 206.0 45.0 (+161)#3 53.0 (+153)#918
4. 06039 197.0 45.0 (+152)#4 53.0 (+144)#1,015
5. 06756 161.0 45.0 (+116)#5 53.0 (+108)#1,533
6. 06419 139.0 45.0 (+94.0)#6 53.0 (+86.0)#2,019
7. 06807 131.0 45.0 (+86.0)#7 53.0 (+78.0)#2,285
8. 06374 125.0 45.0 (+80.0)#8 53.0 (+72.0)#2,506
9. 06063 116.0 45.0 (+71.0)#9 53.0 (+63.0)#2,924
10. 06042 115.0 45.0 (+70.0)#10 53.0 (+62.0)#2,960
11. 06784 113.0 45.0 (+68.0)#11 53.0 (+60.0)#3,085
12. 06890 112.0 45.0 (+67.0)#12 53.0 (+59.0)#3,139
13. 06414 110.0 45.0 (+65.0)#13 53.0 (+57.0)#3,307
14. 06089 101.0 45.0 (+56.0)#14 53.0 (+48.0)#3,888
15. 06029 97.0 45.0 (+52.0)#15 53.0 (+44.0)#4,197
16. 06870 94.0 45.0 (+49.0)#16 53.0 (+41.0)#4,507
17. 06340 93.0 45.0 (+48.0)#17 53.0 (+40.0)#4,566
18. 06794 93.0 45.0 (+48.0)#18 53.0 (+40.0)#4,632
19. 06234 92.0 45.0 (+47.0)#19 53.0 (+39.0)#4,674
20. 06238 91.0 45.0 (+46.0)#20 53.0 (+38.0)#4,769
21. 06484 90.0 45.0 (+45.0)#21 53.0 (+37.0)#4,854
22. 06605 90.0 45.0 (+45.0)#22 53.0 (+37.0)#4,863
23. 06076 88.0 45.0 (+43.0)#23 53.0 (+35.0)#5,085
24. 06385 87.0 45.0 (+42.0)#24 53.0 (+34.0)#5,206
25. 06241 87.0 45.0 (+42.0)#25 53.0 (+34.0)#5,231
26. 06447 87.0 45.0 (+42.0)#26 53.0 (+34.0)#5,233
27. 06607 82.0 45.0 (+37.0)#27 53.0 (+29.0)#5,886
28. 06051 80.0 45.0 (+35.0)#28 53.0 (+27.0)#6,152
29. 06256 78.0 45.0 (+33.0)#29 53.0 (+25.0)#6,564
30. 06248 77.0 45.0 (+32.0)#30 53.0 (+24.0)#6,682
31. 06450 76.0 45.0 (+31.0)#31 53.0 (+23.0)#6,800
32. 06854 76.0 45.0 (+31.0)#32 53.0 (+23.0)#6,805
33. 06082 74.0 45.0 (+29.0)#33 53.0 (+21.0)#7,145
34. 06108 74.0 45.0 (+29.0)#34 53.0 (+21.0)#7,166
35. 06801 73.0 45.0 (+28.0)#35 53.0 (+20.0)#7,383
36. 06791 73.0 45.0 (+28.0)#36 53.0 (+20.0)#7,454
37. 06058 71.0 45.0 (+26.0)#37 53.0 (+18.0)#7,920
38. 06118 70.0 45.0 (+25.0)#38 53.0 (+17.0)#8,014
39. 06442 70.0 45.0 (+25.0)#39 53.0 (+17.0)#8,105
40. 06354 68.0 45.0 (+23.0)#40 53.0 (+15.0)#8,522
41. 06277 68.0 45.0 (+23.0)#41 53.0 (+15.0)#8,532
42. 06824 67.0 45.0 (+22.0)#42 53.0 (+14.0)#8,630
43. 06066 67.0 45.0 (+22.0)#43 53.0 (+14.0)#8,646
44. 06610 67.0 45.0 (+22.0)#44 53.0 (+14.0)#8,671
45. 06096 66.0 45.0 (+21.0)#45 53.0 (+13.0)#8,980
46. 06608 66.0 45.0 (+21.0)#46 53.0 (+13.0)#8,989
47. 06016 66.0 45.0 (+21.0)#47 53.0 (+13.0)#9,018
48. 06415 63.0 45.0 (+18.0)#48 53.0 (+10.00)#9,761
49. 06424 63.0 45.0 (+18.0)#49 53.0 (+10.00)#9,781
50. 06525 63.0 45.0 (+18.0)#50 53.0 (+10.00)#9,801
51. 06830 62.0 45.0 (+17.0)#51 53.0 (+9.00)#10,037
52. 06117 62.0 45.0 (+17.0)#52 53.0 (+9.00)#10,082
53. 06706 62.0 45.0 (+17.0)#53 53.0 (+9.00)#10,083
54. 06517 61.0 45.0 (+16.0)#54 53.0 (+8.00)#10,321
55. 06232 61.0 45.0 (+16.0)#55 53.0 (+8.00)#10,412
56. 06905 60.0 45.0 (+15.0)#56 53.0 (+7.00)#10,611
57. 06053 58.0 45.0 (+13.0)#57 53.0 (+5.00)#11,153
58. 06751 58.0 45.0 (+13.0)#58 53.0 (+5.00)#11,325
59. 06704 57.0 45.0 (+12.0)#59 53.0 (+4.00)#11,471
60. 06514 57.0 45.0 (+12.0)#60 53.0 (+4.00)#11,492
61. 06470 57.0 45.0 (+12.0)#61 53.0 (+4.00)#11,549
62. 06379 57.0 45.0 (+12.0)#62 53.0 (+4.00)#11,583
63. 06902 56.0 45.0 (+11.0)#63 53.0 (+3.00)#11,708
64. 06002 56.0 45.0 (+11.0)#64 53.0 (+3.00)#11,810
65. 06477 56.0 45.0 (+11.0)#65 53.0 (+3.00)#11,851
66. 06418 56.0 45.0 (+11.0)#66 53.0 (+3.00)#11,863
67. 06783 56.0 45.0 (+11.0)#67 53.0 (+3.00)#11,957
68. 06033 55.0 45.0 (+10.00)#68 53.0 (+2.00)#12,097
69. 06705 55.0 45.0 (+10.00)#69 53.0 (+2.00)#12,110
70. 06702 55.0 45.0 (+10.00)#70 53.0 (+2.00)#12,264
71. 06040 54.0 45.0 (+9.00)#71 53.0 (+1.000)#12,406
72. 06907 54.0 45.0 (+9.00)#72 53.0 (+1.000)#12,525
73. 06279 54.0 45.0 (+9.00)#73 53.0 (+1.000)#12,550
74. 06778 53.0 45.0 (+8.00)#74 53.0 (=0.000)#12,935
75. 06752 51.0 45.0 (+6.00)#75 53.0 (-2.00)#13,581
76. 06084 50.0 45.0 (+5.00)#76 53.0 (-3.00)#13,808
77. 06071 50.0 45.0 (+5.00)#77 53.0 (-3.00)#13,824
78. 06479 50.0 45.0 (+5.00)#78 53.0 (-3.00)#13,831
79. 06708 49.0 45.0 (+4.00)#79 53.0 (-4.00)#14,071
80. 06759 49.0 45.0 (+4.00)#80 53.0 (-4.00)#14,218
81. 06088 49.0 45.0 (+4.00)#81 53.0 (-4.00)#14,231
82. 06259 49.0 45.0 (+4.00)#82 53.0 (-4.00)#14,233
83. 06023 49.0 45.0 (+4.00)#83 53.0 (-4.00)#14,294
84. 06111 48.0 45.0 (+3.00)#84 53.0 (-5.00)#14,426
85. 06840 48.0 45.0 (+3.00)#85 53.0 (-5.00)#14,470
86. 06110 48.0 45.0 (+3.00)#86 53.0 (-5.00)#14,528
87. 06382 48.0 45.0 (+3.00)#87 53.0 (-5.00)#14,548
88. 06820 47.0 45.0 (+2.00)#88 53.0 (-6.00)#14,817
89. 06762 47.0 45.0 (+2.00)#89 53.0 (-6.00)#14,894
90. 06473 46.0 45.0 (+1.000)#90 53.0 (-7.00)#15,162
91. 06120 46.0 45.0 (+1.000)#91 53.0 (-7.00)#15,219
92. 06855 46.0 45.0 (+1.000)#92 53.0 (-7.00)#15,264
93. 06498 46.0 45.0 (+1.000)#93 53.0 (-7.00)#15,268
94. 06455 46.0 45.0 (+1.000)#94 53.0 (-7.00)#15,321
95. 06360 45.0 45.0 (=0.000)#95 53.0 (-8.00)#15,451
96. 06611 45.0 45.0 (=0.000)#96 53.0 (-8.00)#15,453
97. 06850 45.0 45.0 (=0.000)#97 53.0 (-8.00)#15,519
98. 06804 45.0 45.0 (=0.000)#98 53.0 (-8.00)#15,529
99. 06249 45.0 45.0 (=0.000)#99 53.0 (-8.00)#15,591
100. 06067 44.0 45.0 (-1.000)#100 53.0 (-9.00)#15,887

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Connecticut?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Connecticut are:
#1
314.0
#2
227.0
#3
206.0
#4
197.0
#5
161.0
#6
139.0
#7
131.0
#8
125.0
#9
116.0
#10
115.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Connecticut?
06444 has the Most Births per 1,000 Women Below Poverty Level in Connecticut with 314.0.
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.