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

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Highest 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 Most Births per 1,000 Women in Labor Force in Connecticut

0.0
400.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut Map

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

Zip Code Births / 1,000 Women vs State vs National
1.06387333.043.0(+290)#148.0(+285)#384
2.06444314.043.0(+271)#248.0(+266)#430
3.06039219.043.0(+176)#348.0(+171)#839
4.06756203.043.0(+160)#448.0(+155)#966
5.06870146.043.0(+103)#548.0(+98.0)#1,761
6.06784132.043.0(+89.0)#648.0(+84.0)#2,128
7.06042119.043.0(+76.0)#748.0(+71.0)#2,540
8.06089115.043.0(+72.0)#848.0(+67.0)#2,723
9.06447113.043.0(+70.0)#948.0(+65.0)#2,801
10.06807112.043.0(+69.0)#1048.0(+64.0)#2,836
11.06414110.043.0(+67.0)#1148.0(+62.0)#2,986
12.06794109.043.0(+66.0)#1248.0(+61.0)#3,029
13.06385107.043.0(+64.0)#1348.0(+59.0)#3,094
14.06029105.043.0(+62.0)#1448.0(+57.0)#3,183
15.06354103.043.0(+60.0)#1548.0(+55.0)#3,327
16.06374102.043.0(+59.0)#1648.0(+54.0)#3,382
17.0606397.043.0(+54.0)#1748.0(+49.0)#3,723
18.0660595.043.0(+52.0)#1848.0(+47.0)#3,830
19.0624891.043.0(+48.0)#1948.0(+43.0)#4,136
20.0660789.043.0(+46.0)#2048.0(+41.0)#4,332
21.0648488.043.0(+45.0)#2148.0(+40.0)#4,395
22.0601688.043.0(+45.0)#2248.0(+40.0)#4,428
23.0642486.043.0(+43.0)#2348.0(+38.0)#4,611
24.0607683.043.0(+40.0)#2448.0(+35.0)#4,919
25.0623882.043.0(+39.0)#2548.0(+34.0)#5,040
26.0644282.043.0(+39.0)#2648.0(+34.0)#5,087
27.0610881.043.0(+38.0)#2748.0(+33.0)#5,148
28.0605180.043.0(+37.0)#2848.0(+32.0)#5,247
29.0611879.043.0(+36.0)#2948.0(+31.0)#5,375
30.0641578.043.0(+35.0)#3048.0(+30.0)#5,507
31.0647076.043.0(+33.0)#3148.0(+28.0)#5,791
32.0623476.043.0(+33.0)#3248.0(+28.0)#5,811
33.0675176.043.0(+33.0)#3348.0(+28.0)#5,832
34.0608275.043.0(+32.0)#3448.0(+27.0)#5,885
35.0682473.043.0(+30.0)#3548.0(+25.0)#6,177
36.0608473.043.0(+30.0)#3648.0(+25.0)#6,210
37.0682071.043.0(+28.0)#3748.0(+23.0)#6,524
38.0624171.043.0(+28.0)#3848.0(+23.0)#6,571
39.0651470.043.0(+27.0)#3948.0(+22.0)#6,693
40.0689070.043.0(+27.0)#4048.0(+22.0)#6,757
41.0683069.043.0(+26.0)#4148.0(+21.0)#6,864
42.0627869.043.0(+26.0)#4248.0(+21.0)#6,942
43.0602369.043.0(+26.0)#4348.0(+21.0)#6,985
44.0685468.043.0(+25.0)#4448.0(+20.0)#7,058
45.0641868.043.0(+25.0)#4548.0(+20.0)#7,110
46.0660868.043.0(+25.0)#4648.0(+20.0)#7,117
47.0647968.043.0(+25.0)#4748.0(+20.0)#7,122
48.0637968.043.0(+25.0)#4848.0(+20.0)#7,127
49.0661065.043.0(+22.0)#4948.0(+17.0)#7,658
50.0605865.043.0(+22.0)#5048.0(+17.0)#7,781
51.0611763.043.0(+20.0)#5148.0(+15.0)#8,096
52.0651763.043.0(+20.0)#5248.0(+15.0)#8,105
53.0606662.043.0(+19.0)#5348.0(+14.0)#8,318
54.0625962.043.0(+19.0)#5448.0(+14.0)#8,433
55.0603360.043.0(+17.0)#5548.0(+12.0)#8,745
56.0645560.043.0(+17.0)#5648.0(+12.0)#8,851
57.0684058.043.0(+15.0)#5748.0(+10.00)#9,230
58.0681258.043.0(+15.0)#5848.0(+10.00)#9,258
59.0601357.043.0(+14.0)#5948.0(+9.00)#9,522
60.0623257.043.0(+14.0)#6048.0(+9.00)#9,561
61.0647756.043.0(+13.0)#6148.0(+8.00)#9,732
62.0611056.043.0(+13.0)#6248.0(+8.00)#9,742
63.0690756.043.0(+13.0)#6348.0(+8.00)#9,761
64.0685356.043.0(+13.0)#6448.0(+8.00)#9,812
65.0605355.043.0(+12.0)#6548.0(+7.00)#9,956
66.0670454.043.0(+11.0)#6648.0(+6.00)#10,242
67.0688054.043.0(+11.0)#6748.0(+6.00)#10,254
68.0652554.043.0(+11.0)#6848.0(+6.00)#10,336
69.0649854.043.0(+11.0)#6948.0(+6.00)#10,348
70.0670853.043.0(+10.00)#7048.0(+5.00)#10,539
71.0601953.043.0(+10.00)#7148.0(+5.00)#10,621
72.0624753.043.0(+10.00)#7248.0(+5.00)#10,677
73.0633952.043.0(+9.00)#7348.0(+4.00)#10,892
74.0647351.043.0(+8.00)#7448.0(+3.00)#11,117
75.0680151.043.0(+8.00)#7548.0(+3.00)#11,137
76.0647851.043.0(+8.00)#7648.0(+3.00)#11,172
77.0689651.043.0(+8.00)#7748.0(+3.00)#11,191
78.0634050.043.0(+7.00)#7848.0(+2.00)#11,384
79.0687750.043.0(+7.00)#7948.0(+2.00)#11,407
80.0690550.043.0(+7.00)#8048.0(+2.00)#11,425
81.0670650.043.0(+7.00)#8148.0(+2.00)#11,442
82.0645049.043.0(+6.00)#8248.0(+1.000)#11,683
83.0611149.043.0(+6.00)#8348.0(+1.000)#11,695
84.0600249.043.0(+6.00)#8448.0(+1.000)#11,733
85.0637849.043.0(+6.00)#8548.0(+1.000)#11,819
86.0678349.043.0(+6.00)#8648.0(+1.000)#11,860
87.0604048.043.0(+5.00)#8748.0(=0.000)#11,949
88.0677048.043.0(+5.00)#8848.0(=0.000)#11,966
89.0648848.043.0(+5.00)#8948.0(=0.000)#12,006
90.0661447.043.0(+4.00)#9048.0(-1.000)#12,250
91.0680447.043.0(+4.00)#9148.0(-1.000)#12,332
92.0609647.043.0(+4.00)#9248.0(-1.000)#12,365
93.0607147.043.0(+4.00)#9348.0(-1.000)#12,375
94.0675947.043.0(+4.00)#9448.0(-1.000)#12,406
95.0679147.043.0(+4.00)#9548.0(-1.000)#12,407
96.0682546.043.0(+3.00)#9648.0(-2.00)#12,636
97.0685145.043.0(+2.00)#9748.0(-3.00)#12,885
98.0670545.043.0(+2.00)#9848.0(-3.00)#12,897
99.0612045.043.0(+2.00)#9948.0(-3.00)#12,968
100.0641345.043.0(+2.00)#10048.0(-3.00)#12,969

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Connecticut are:
#1
333.0
#2
314.0
#3
219.0
#4
203.0
#5
146.0
#6
132.0
#7
119.0
#8
115.0
#9
113.0
#10
112.0
What zip code has the Most Births per 1,000 Women in Labor Force in Connecticut?
06387 has the Most Births per 1,000 Women in Labor Force in Connecticut with 333.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Connecticut?
Number of Births per 1,000 Women in Labor Force in Connecticut is 43.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.