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

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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
Kentucky
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky

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

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

Zip Code Births / 1,000 Women vs State vs National
1.400064.054.0(-50.0)#153.0(-49.0)#97
2.401195.054.0(-49.0)#253.0(-48.0)#183
3.410596.054.0(-48.0)#353.0(-47.0)#237
4.420487.054.0(-47.0)#453.0(-46.0)#322
5.400508.054.0(-46.0)#553.0(-45.0)#413
6.422028.054.0(-46.0)#653.0(-45.0)#414
7.423378.054.0(-46.0)#753.0(-45.0)#415
8.401778.054.0(-46.0)#853.0(-45.0)#419
9.408319.054.0(-45.0)#953.0(-44.0)#491
10.403479.054.0(-45.0)#1053.0(-44.0)#500
11.422869.054.0(-45.0)#1153.0(-44.0)#529
12.421409.054.0(-45.0)#1253.0(-44.0)#543
13.4002310.054.0(-44.0)#1353.0(-43.0)#608
14.4237810.054.0(-44.0)#1453.0(-43.0)#628
15.4075910.054.0(-44.0)#1553.0(-43.0)#639
16.4204111.054.0(-43.0)#1653.0(-42.0)#753
17.4212011.054.0(-43.0)#1753.0(-42.0)#770
18.4265312.054.0(-42.0)#1853.0(-41.0)#895
19.4001112.054.0(-42.0)#1953.0(-41.0)#918
20.4003713.054.0(-41.0)#2053.0(-40.0)#1,063
21.4047213.054.0(-41.0)#2153.0(-40.0)#1,085
22.4034813.054.0(-41.0)#2253.0(-40.0)#1,114
23.4103914.054.0(-40.0)#2353.0(-39.0)#1,205
24.4106414.054.0(-40.0)#2453.0(-39.0)#1,216
25.4271214.054.0(-40.0)#2553.0(-39.0)#1,231
26.4109215.054.0(-39.0)#2653.0(-38.0)#1,373
27.4081015.054.0(-39.0)#2753.0(-38.0)#1,435
28.4205316.054.0(-38.0)#2853.0(-37.0)#1,541
29.4001916.054.0(-38.0)#2953.0(-37.0)#1,551
30.4010916.054.0(-38.0)#3053.0(-37.0)#1,586
31.4236716.054.0(-38.0)#3153.0(-37.0)#1,623
32.4153717.054.0(-37.0)#3253.0(-36.0)#1,737
33.4051617.054.0(-37.0)#3353.0(-36.0)#1,751
34.4106317.054.0(-37.0)#3453.0(-36.0)#1,754
35.4121917.054.0(-37.0)#3553.0(-36.0)#1,769
36.4037018.054.0(-36.0)#3653.0(-35.0)#1,923
37.4100218.054.0(-36.0)#3753.0(-35.0)#1,926
38.4022320.054.0(-34.0)#3853.0(-33.0)#2,216
39.4202520.054.0(-34.0)#3953.0(-33.0)#2,223
40.4117120.054.0(-34.0)#4053.0(-33.0)#2,289
41.4005720.054.0(-34.0)#4153.0(-33.0)#2,302
42.4202020.054.0(-34.0)#4253.0(-33.0)#2,336
43.4234920.054.0(-34.0)#4353.0(-33.0)#2,345
44.4246220.054.0(-34.0)#4453.0(-33.0)#2,364
45.4080720.054.0(-34.0)#4553.0(-33.0)#2,408
46.4210421.054.0(-33.0)#4653.0(-32.0)#2,430
47.4109521.054.0(-33.0)#4753.0(-32.0)#2,550
48.4082321.054.0(-33.0)#4853.0(-32.0)#2,554
49.4037921.054.0(-33.0)#4953.0(-32.0)#2,555
50.4100421.054.0(-33.0)#5053.0(-32.0)#2,556
51.4205121.054.0(-33.0)#5153.0(-32.0)#2,579
52.4000321.054.0(-33.0)#5253.0(-32.0)#2,585
53.4050822.054.0(-32.0)#5353.0(-31.0)#2,674
54.4043722.054.0(-32.0)#5453.0(-31.0)#2,766
55.4046122.054.0(-32.0)#5553.0(-31.0)#2,796
56.4177322.054.0(-32.0)#5653.0(-31.0)#2,838
57.4015722.054.0(-32.0)#5753.0(-31.0)#2,858
58.4217123.054.0(-31.0)#5853.0(-30.0)#3,011
59.4100824.054.0(-30.0)#5953.0(-29.0)#3,242
60.4262924.054.0(-30.0)#6053.0(-29.0)#3,259
61.4241324.054.0(-30.0)#6153.0(-29.0)#3,309
62.4002625.054.0(-29.0)#6253.0(-28.0)#3,530
63.4216625.054.0(-29.0)#6353.0(-28.0)#3,596
64.4271325.054.0(-29.0)#6453.0(-28.0)#3,610
65.4234325.054.0(-29.0)#6553.0(-28.0)#3,612
66.4114426.054.0(-28.0)#6653.0(-27.0)#3,760
67.4254426.054.0(-28.0)#6753.0(-27.0)#3,789
68.4005126.054.0(-28.0)#6853.0(-27.0)#3,800
69.4046826.054.0(-28.0)#6953.0(-27.0)#3,845
70.4002526.054.0(-28.0)#7053.0(-27.0)#3,904
71.4100327.054.0(-27.0)#7153.0(-26.0)#4,096
72.4118327.054.0(-27.0)#7253.0(-26.0)#4,120
73.4105528.054.0(-26.0)#7353.0(-25.0)#4,382
74.4245029.054.0(-25.0)#7453.0(-24.0)#4,614
75.4240429.054.0(-25.0)#7553.0(-24.0)#4,641
76.4227329.054.0(-25.0)#7653.0(-24.0)#4,696
77.4272830.054.0(-24.0)#7753.0(-23.0)#4,809
78.4006930.054.0(-24.0)#7853.0(-23.0)#4,857
79.4274930.054.0(-24.0)#7953.0(-23.0)#4,880
80.4112130.054.0(-24.0)#8053.0(-23.0)#4,947
81.4020431.054.0(-23.0)#8153.0(-22.0)#5,129
82.4044731.054.0(-23.0)#8253.0(-22.0)#5,163
83.4015031.054.0(-23.0)#8353.0(-22.0)#5,195
84.4004531.054.0(-23.0)#8453.0(-22.0)#5,221
85.4204931.054.0(-23.0)#8553.0(-22.0)#5,255
86.4110232.054.0(-22.0)#8653.0(-21.0)#5,394
87.4033632.054.0(-22.0)#8753.0(-21.0)#5,423
88.4073432.054.0(-22.0)#8853.0(-21.0)#5,506
89.4202332.054.0(-22.0)#8953.0(-21.0)#5,518
90.4029933.054.0(-21.0)#9053.0(-20.0)#5,630
91.4039133.054.0(-21.0)#9153.0(-20.0)#5,639
92.4113933.054.0(-21.0)#9253.0(-20.0)#5,773
93.4131133.054.0(-21.0)#9353.0(-20.0)#5,791
94.4202933.054.0(-21.0)#9453.0(-20.0)#5,797
95.4275733.054.0(-21.0)#9553.0(-20.0)#5,837
96.4235233.054.0(-21.0)#9653.0(-20.0)#5,866
97.4241033.054.0(-21.0)#9753.0(-20.0)#5,874
98.4046033.054.0(-21.0)#9853.0(-20.0)#5,876
99.4160233.054.0(-21.0)#9953.0(-20.0)#5,890
100.4000434.054.0(-20.0)#10053.0(-19.0)#5,971

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Kentucky are:
#1
4.0
#2
5.0
#3
6.0
#4
7.0
#5
8.0
#6
8.0
#7
8.0
#8
8.0
#9
9.0
#10
9.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky?
40006 has the Fewest Births per 1,000 Women Below Poverty Level in Kentucky with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Kentucky?
Number of Births per 1,000 Women Below Poverty Level in Kentucky is 54.0.
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.