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
1.060622.043.0(-41.0)#148.0(-46.0)#15
2.067025.043.0(-38.0)#248.0(-43.0)#209
3.065186.043.0(-37.0)#348.0(-42.0)#241
4.067987.043.0(-36.0)#448.0(-41.0)#336
5.064717.043.0(-36.0)#548.0(-41.0)#344
6.062808.043.0(-35.0)#648.0(-40.0)#498
7.0623910.043.0(-33.0)#748.0(-38.0)#712
8.0626010.043.0(-33.0)#848.0(-38.0)#721
9.0638010.043.0(-33.0)#948.0(-38.0)#776
10.0604311.043.0(-32.0)#1048.0(-37.0)#906
11.0609211.043.0(-32.0)#1148.0(-37.0)#917
12.0660412.043.0(-31.0)#1248.0(-36.0)#1,002
13.0678712.043.0(-31.0)#1348.0(-36.0)#1,059
14.0632013.043.0(-30.0)#1448.0(-35.0)#1,169
15.0600113.043.0(-30.0)#1548.0(-35.0)#1,184
16.0647513.043.0(-30.0)#1648.0(-35.0)#1,218
17.0679514.043.0(-29.0)#1748.0(-34.0)#1,386
18.0637114.043.0(-29.0)#1848.0(-34.0)#1,400
19.0605214.043.0(-29.0)#1948.0(-34.0)#1,410
20.0627914.043.0(-29.0)#2048.0(-34.0)#1,430
21.0625414.043.0(-29.0)#2148.0(-34.0)#1,487
22.0683115.043.0(-28.0)#2248.0(-33.0)#1,572
23.0603216.043.0(-27.0)#2348.0(-32.0)#1,769
24.0635716.043.0(-27.0)#2448.0(-32.0)#1,785
25.0636516.043.0(-27.0)#2548.0(-32.0)#1,829
26.0690117.043.0(-26.0)#2648.0(-31.0)#1,985
27.0651218.043.0(-25.0)#2748.0(-30.0)#2,132
28.0633518.043.0(-25.0)#2848.0(-30.0)#2,214
29.0675418.043.0(-25.0)#2948.0(-30.0)#2,276
30.0602718.043.0(-25.0)#3048.0(-30.0)#2,295
31.0609819.043.0(-24.0)#3148.0(-29.0)#2,406
32.0648019.043.0(-24.0)#3248.0(-29.0)#2,412
33.0677620.043.0(-23.0)#3348.0(-28.0)#2,579
34.0651520.043.0(-23.0)#3448.0(-28.0)#2,601
35.0611920.043.0(-23.0)#3548.0(-28.0)#2,623
36.0626820.043.0(-23.0)#3648.0(-28.0)#2,631
37.0602620.043.0(-23.0)#3748.0(-28.0)#2,690
38.0642320.043.0(-23.0)#3848.0(-28.0)#2,697
39.0637720.043.0(-23.0)#3948.0(-28.0)#2,723
40.0651121.043.0(-22.0)#4048.0(-27.0)#2,805
41.0607321.043.0(-22.0)#4148.0(-27.0)#2,945
42.0677922.043.0(-21.0)#4248.0(-26.0)#3,175
43.0651624.043.0(-19.0)#4348.0(-24.0)#3,577
44.0651324.043.0(-19.0)#4448.0(-24.0)#3,593
45.0648924.043.0(-19.0)#4548.0(-24.0)#3,606
46.0610924.043.0(-19.0)#4648.0(-24.0)#3,624
47.0640124.043.0(-19.0)#4748.0(-24.0)#3,655
48.0622624.043.0(-19.0)#4848.0(-24.0)#3,657
49.0648224.043.0(-19.0)#4948.0(-24.0)#3,682
50.0607824.043.0(-19.0)#5048.0(-24.0)#3,697
51.0688324.043.0(-19.0)#5148.0(-24.0)#3,701
52.0623524.043.0(-19.0)#5248.0(-24.0)#3,796
53.0635125.043.0(-18.0)#5348.0(-23.0)#3,964
54.0638225.043.0(-18.0)#5448.0(-23.0)#3,999
55.0689726.043.0(-17.0)#5548.0(-22.0)#4,222
56.0601826.043.0(-17.0)#5648.0(-22.0)#4,362
57.0624226.043.0(-17.0)#5748.0(-22.0)#4,400
58.0646927.043.0(-16.0)#5848.0(-21.0)#4,655
59.0602127.043.0(-16.0)#5948.0(-21.0)#4,693
60.0645128.043.0(-15.0)#6048.0(-20.0)#4,806
61.0611228.043.0(-15.0)#6148.0(-20.0)#4,816
62.0685028.043.0(-15.0)#6248.0(-20.0)#4,831
63.0635529.043.0(-14.0)#6348.0(-19.0)#5,133
64.0690629.043.0(-14.0)#6448.0(-19.0)#5,146
65.0678629.043.0(-14.0)#6548.0(-19.0)#5,151
66.0608529.043.0(-14.0)#6648.0(-19.0)#5,165
67.0690230.043.0(-13.0)#6748.0(-18.0)#5,320
68.0611430.043.0(-13.0)#6848.0(-18.0)#5,397
69.0643730.043.0(-13.0)#6948.0(-18.0)#5,415
70.0651030.043.0(-13.0)#7048.0(-18.0)#5,528
71.0637530.043.0(-13.0)#7148.0(-18.0)#5,533
72.0646831.043.0(-12.0)#7248.0(-17.0)#5,719
73.0671631.043.0(-12.0)#7348.0(-17.0)#5,730
74.0607031.043.0(-12.0)#7448.0(-17.0)#5,736
75.0671231.043.0(-12.0)#7548.0(-17.0)#5,760
76.0635931.043.0(-12.0)#7648.0(-17.0)#5,801
77.0660632.043.0(-11.0)#7748.0(-16.0)#5,913
78.0690332.043.0(-11.0)#7848.0(-16.0)#6,043
79.0633332.043.0(-11.0)#7948.0(-16.0)#6,079
80.0625032.043.0(-11.0)#8048.0(-16.0)#6,087
81.0627732.043.0(-11.0)#8148.0(-16.0)#6,118
82.0641232.043.0(-11.0)#8248.0(-16.0)#6,126
83.0610633.043.0(-10.00)#8348.0(-15.0)#6,278
84.0661133.043.0(-10.00)#8448.0(-15.0)#6,283
85.0642233.043.0(-10.00)#8548.0(-15.0)#6,424
86.0623733.043.0(-10.00)#8648.0(-15.0)#6,442
87.0642033.043.0(-10.00)#8748.0(-15.0)#6,454
88.0685534.043.0(-9.00)#8848.0(-14.0)#6,750
89.0637034.043.0(-9.00)#8948.0(-14.0)#6,751
90.0649235.043.0(-8.00)#9048.0(-13.0)#6,895
91.0603535.043.0(-8.00)#9148.0(-13.0)#7,039
92.0633135.043.0(-8.00)#9248.0(-13.0)#7,067
93.0643835.043.0(-8.00)#9348.0(-13.0)#7,102
94.0603736.043.0(-7.00)#9448.0(-12.0)#7,280
95.0644336.043.0(-7.00)#9548.0(-12.0)#7,287
96.0651936.043.0(-7.00)#9648.0(-12.0)#7,295
97.0681037.043.0(-6.00)#9748.0(-11.0)#7,485
98.0609537.043.0(-6.00)#9848.0(-11.0)#7,547
99.0641037.043.0(-6.00)#9948.0(-11.0)#7,553
100.0648337.043.0(-6.00)#10048.0(-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.