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

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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

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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
1.060622.045.0(-43.0)#153.0(-51.0)#12
2.067986.045.0(-39.0)#253.0(-47.0)#216
3.064716.045.0(-39.0)#353.0(-47.0)#220
4.063346.045.0(-39.0)#453.0(-47.0)#246
5.060927.045.0(-38.0)#553.0(-46.0)#302
6.060438.045.0(-37.0)#653.0(-45.0)#385
7.063809.045.0(-36.0)#753.0(-44.0)#516
8.0626010.045.0(-35.0)#853.0(-43.0)#601
9.0679511.045.0(-34.0)#953.0(-42.0)#716
10.0605211.045.0(-34.0)#1053.0(-42.0)#728
11.0625411.045.0(-34.0)#1153.0(-42.0)#780
12.0636513.045.0(-32.0)#1253.0(-40.0)#1,037
13.0675413.045.0(-32.0)#1353.0(-40.0)#1,077
14.0677615.045.0(-30.0)#1453.0(-38.0)#1,290
15.0603215.045.0(-30.0)#1553.0(-38.0)#1,304
16.0648015.045.0(-30.0)#1653.0(-38.0)#1,321
17.0607315.045.0(-30.0)#1753.0(-38.0)#1,343
18.0610315.045.0(-30.0)#1853.0(-38.0)#1,396
19.0651216.045.0(-29.0)#1953.0(-37.0)#1,482
20.0609816.045.0(-29.0)#2053.0(-37.0)#1,507
21.0640316.045.0(-29.0)#2153.0(-37.0)#1,529
22.0602616.045.0(-29.0)#2253.0(-37.0)#1,537
23.0651817.045.0(-28.0)#2353.0(-36.0)#1,661
24.0683117.045.0(-28.0)#2453.0(-36.0)#1,672
25.0638417.045.0(-28.0)#2553.0(-36.0)#1,753
26.0648218.045.0(-27.0)#2653.0(-35.0)#1,857
27.0623518.045.0(-27.0)#2753.0(-35.0)#1,940
28.0632019.045.0(-26.0)#2853.0(-34.0)#2,012
29.0640119.045.0(-26.0)#2953.0(-34.0)#2,027
30.0635119.045.0(-26.0)#3053.0(-34.0)#2,037
31.0677919.045.0(-26.0)#3153.0(-34.0)#2,068
32.0625019.045.0(-26.0)#3253.0(-34.0)#2,078
33.0633519.045.0(-26.0)#3353.0(-34.0)#2,080
34.0607820.045.0(-25.0)#3453.0(-33.0)#2,247
35.0690120.045.0(-25.0)#3553.0(-33.0)#2,252
36.0646920.045.0(-25.0)#3653.0(-33.0)#2,316
37.0624220.045.0(-25.0)#3753.0(-33.0)#2,372
38.0637521.045.0(-24.0)#3853.0(-32.0)#2,558
39.0677721.045.0(-24.0)#3953.0(-32.0)#2,600
40.0651522.045.0(-23.0)#4053.0(-31.0)#2,690
41.0635722.045.0(-23.0)#4153.0(-31.0)#2,713
42.0633322.045.0(-23.0)#4253.0(-31.0)#2,742
43.0645123.045.0(-22.0)#4353.0(-30.0)#2,937
44.0622623.045.0(-22.0)#4453.0(-30.0)#2,949
45.0689723.045.0(-22.0)#4553.0(-30.0)#2,952
46.0607023.045.0(-22.0)#4653.0(-30.0)#2,965
47.0626823.045.0(-22.0)#4753.0(-30.0)#2,973
48.0623923.045.0(-22.0)#4853.0(-30.0)#2,978
49.0688323.045.0(-22.0)#4953.0(-30.0)#2,980
50.0637123.045.0(-22.0)#5053.0(-30.0)#2,983
51.0671223.045.0(-22.0)#5153.0(-30.0)#2,987
52.0651023.045.0(-22.0)#5253.0(-30.0)#3,044
53.0641223.045.0(-22.0)#5353.0(-30.0)#3,048
54.0651124.045.0(-21.0)#5453.0(-29.0)#3,140
55.0648924.045.0(-21.0)#5553.0(-29.0)#3,159
56.0611924.045.0(-21.0)#5653.0(-29.0)#3,207
57.0608524.045.0(-21.0)#5753.0(-29.0)#3,244
58.0635924.045.0(-21.0)#5853.0(-29.0)#3,265
59.0606524.045.0(-21.0)#5953.0(-29.0)#3,371
60.0647525.045.0(-20.0)#6053.0(-28.0)#3,497
61.0678725.045.0(-20.0)#6153.0(-28.0)#3,520
62.0633025.045.0(-20.0)#6253.0(-28.0)#3,573
63.0637725.045.0(-20.0)#6353.0(-28.0)#3,577
64.0602725.045.0(-20.0)#6453.0(-28.0)#3,627
65.0679625.045.0(-20.0)#6553.0(-28.0)#3,641
66.0610926.045.0(-19.0)#6653.0(-27.0)#3,697
67.0690626.045.0(-19.0)#6753.0(-27.0)#3,759
68.0623726.045.0(-19.0)#6853.0(-27.0)#3,791
69.0642227.045.0(-18.0)#6953.0(-26.0)#4,034
70.0605727.045.0(-18.0)#7053.0(-26.0)#4,045
71.0642327.045.0(-18.0)#7153.0(-26.0)#4,063
72.0642027.045.0(-18.0)#7253.0(-26.0)#4,066
73.0628028.045.0(-17.0)#7353.0(-25.0)#4,355
74.0648329.045.0(-16.0)#7453.0(-24.0)#4,525
75.0628129.045.0(-16.0)#7553.0(-24.0)#4,574
76.0648129.045.0(-16.0)#7653.0(-24.0)#4,661
77.0651330.045.0(-15.0)#7753.0(-23.0)#4,737
78.0600130.045.0(-15.0)#7853.0(-23.0)#4,798
79.0660431.045.0(-14.0)#7953.0(-22.0)#5,063
80.0643731.045.0(-14.0)#8053.0(-22.0)#5,089
81.0644331.045.0(-14.0)#8153.0(-22.0)#5,111
82.0633131.045.0(-14.0)#8253.0(-22.0)#5,188
83.0660632.045.0(-13.0)#8353.0(-21.0)#5,322
84.0610632.045.0(-13.0)#8453.0(-21.0)#5,340
85.0609532.045.0(-13.0)#8553.0(-21.0)#5,364
86.0610732.045.0(-13.0)#8653.0(-21.0)#5,395
87.0637032.045.0(-13.0)#8753.0(-21.0)#5,451
88.0651633.045.0(-12.0)#8853.0(-20.0)#5,604
89.0649233.045.0(-12.0)#8953.0(-20.0)#5,621
90.0610533.045.0(-12.0)#9053.0(-20.0)#5,702
91.0643833.045.0(-12.0)#9153.0(-20.0)#5,836
92.0647834.045.0(-11.0)#9253.0(-19.0)#6,048
93.0685334.045.0(-11.0)#9353.0(-19.0)#6,143
94.0606934.045.0(-11.0)#9453.0(-19.0)#6,161
95.0679035.045.0(-10.00)#9553.0(-18.0)#6,287
96.0641035.045.0(-10.00)#9653.0(-18.0)#6,311
97.0611235.045.0(-10.00)#9753.0(-18.0)#6,340
98.0646135.045.0(-10.00)#9853.0(-18.0)#6,373
99.0644135.045.0(-10.00)#9953.0(-18.0)#6,430
100.0679335.045.0(-10.00)#10053.0(-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.