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

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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
Kentucky
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Kentucky Map

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

Zip Code Births / 1,000 Women vs State vs National
1.416071,000.054.0(+946)#153.0(+947)#10
2.426381,000.054.0(+946)#253.0(+947)#19
3.411811,000.054.0(+946)#353.0(+947)#43
4.40170769.054.0(+715)#453.0(+716)#72
5.41132650.054.0(+596)#553.0(+597)#111
6.42762465.054.0(+411)#653.0(+412)#201
7.40442451.054.0(+397)#753.0(+398)#214
8.42069381.054.0(+327)#853.0(+328)#282
9.42044339.054.0(+285)#953.0(+286)#357
10.41554338.054.0(+284)#1053.0(+285)#359
11.41659324.054.0(+270)#1153.0(+271)#397
12.41666312.054.0(+258)#1253.0(+259)#422
13.41560309.054.0(+255)#1353.0(+256)#426
14.40062306.054.0(+252)#1453.0(+253)#438
15.41254300.054.0(+246)#1553.0(+247)#452
16.40111286.054.0(+232)#1653.0(+233)#495
17.42518281.054.0(+227)#1753.0(+228)#518
18.41571268.054.0(+214)#1853.0(+215)#570
19.41043246.054.0(+192)#1953.0(+193)#686
20.41615237.054.0(+183)#2053.0(+184)#733
21.41189234.054.0(+180)#2153.0(+181)#745
22.41651233.054.0(+179)#2253.0(+180)#755
23.40983227.054.0(+173)#2353.0(+174)#792
24.40953226.054.0(+172)#2453.0(+173)#798
25.40827216.054.0(+162)#2553.0(+163)#856
26.41083214.054.0(+160)#2653.0(+161)#863
27.40858200.054.0(+146)#2753.0(+147)#985
28.41265198.054.0(+144)#2853.0(+145)#1,009
29.41840189.054.0(+135)#2953.0(+136)#1,111
30.40152177.054.0(+123)#3053.0(+124)#1,258
31.42369173.054.0(+119)#3153.0(+120)#1,325
32.41527171.054.0(+117)#3253.0(+118)#1,357
33.41352171.054.0(+117)#3353.0(+118)#1,359
34.41093169.054.0(+115)#3453.0(+116)#1,378
35.42064167.054.0(+113)#3553.0(+114)#1,418
36.42207163.054.0(+109)#3653.0(+110)#1,498
37.42204162.054.0(+108)#3753.0(+109)#1,526
38.40076159.054.0(+105)#3853.0(+106)#1,568
39.42528159.054.0(+105)#3953.0(+106)#1,571
40.41777159.054.0(+105)#4053.0(+106)#1,573
41.40940159.054.0(+105)#4153.0(+106)#1,583
42.40868158.054.0(+104)#4253.0(+105)#1,600
43.41421154.054.0(+100.0)#4353.0(+101)#1,672
44.41175153.054.0(+99.0)#4453.0(+100.0)#1,679
45.41124152.054.0(+98.0)#4553.0(+99.0)#1,708
46.42170151.054.0(+97.0)#4653.0(+98.0)#1,731
47.41231150.054.0(+96.0)#4753.0(+97.0)#1,753
48.42519148.054.0(+94.0)#4853.0(+95.0)#1,788
49.41524147.054.0(+93.0)#4953.0(+94.0)#1,825
50.40380145.054.0(+91.0)#5053.0(+92.0)#1,852
51.41826145.054.0(+91.0)#5153.0(+92.0)#1,869
52.41464145.054.0(+91.0)#5253.0(+92.0)#1,875
53.42055144.054.0(+90.0)#5353.0(+91.0)#1,886
54.42262142.054.0(+88.0)#5453.0(+89.0)#1,942
55.41006138.054.0(+84.0)#5553.0(+85.0)#2,052
56.41086133.054.0(+79.0)#5653.0(+80.0)#2,230
57.40020133.054.0(+79.0)#5753.0(+80.0)#2,248
58.40903132.054.0(+78.0)#5853.0(+79.0)#2,272
59.42223131.054.0(+77.0)#5953.0(+78.0)#2,281
60.42436130.054.0(+76.0)#6053.0(+77.0)#2,328
61.40046130.054.0(+76.0)#6153.0(+77.0)#2,329
62.41828130.054.0(+76.0)#6253.0(+77.0)#2,342
63.42411129.054.0(+75.0)#6353.0(+76.0)#2,365
64.42458128.054.0(+74.0)#6453.0(+75.0)#2,414
65.41839127.054.0(+73.0)#6553.0(+74.0)#2,465
66.42374125.054.0(+71.0)#6653.0(+72.0)#2,554
67.42565124.054.0(+70.0)#6753.0(+71.0)#2,594
68.42274122.054.0(+68.0)#6853.0(+69.0)#2,666
69.42066120.054.0(+66.0)#6953.0(+67.0)#2,732
70.41548119.054.0(+65.0)#7053.0(+66.0)#2,788
71.40982118.054.0(+64.0)#7153.0(+65.0)#2,854
72.42330117.054.0(+63.0)#7253.0(+64.0)#2,875
73.42324116.054.0(+62.0)#7353.0(+63.0)#2,941
74.42157116.054.0(+62.0)#7453.0(+63.0)#2,951
75.42232113.054.0(+59.0)#7553.0(+60.0)#3,105
76.41224112.054.0(+58.0)#7653.0(+59.0)#3,142
77.42160112.054.0(+58.0)#7753.0(+59.0)#3,150
78.40121110.054.0(+56.0)#7853.0(+57.0)#3,258
79.41046110.054.0(+56.0)#7953.0(+57.0)#3,286
80.42323110.054.0(+56.0)#8053.0(+57.0)#3,298
81.42081109.054.0(+55.0)#8153.0(+56.0)#3,326
82.41512109.054.0(+55.0)#8253.0(+56.0)#3,348
83.41348108.054.0(+54.0)#8353.0(+55.0)#3,411
84.41238108.054.0(+54.0)#8453.0(+55.0)#3,418
85.42409107.054.0(+53.0)#8553.0(+54.0)#3,459
86.42058107.054.0(+53.0)#8653.0(+54.0)#3,464
87.42634105.054.0(+51.0)#8753.0(+52.0)#3,608
88.41001104.054.0(+50.0)#8853.0(+51.0)#3,637
89.40374104.054.0(+50.0)#8953.0(+51.0)#3,672
90.42776104.054.0(+50.0)#9053.0(+51.0)#3,678
91.41045104.054.0(+50.0)#9153.0(+51.0)#3,684
92.42455103.054.0(+49.0)#9253.0(+50.0)#3,737
93.41539102.054.0(+48.0)#9353.0(+49.0)#3,839
94.41601102.054.0(+48.0)#9453.0(+49.0)#3,851
95.4001399.054.0(+45.0)#9553.0(+46.0)#4,043
96.4278299.054.0(+45.0)#9653.0(+46.0)#4,084
97.4244598.054.0(+44.0)#9753.0(+45.0)#4,116
98.4011898.054.0(+44.0)#9853.0(+45.0)#4,117
99.4240698.054.0(+44.0)#9953.0(+45.0)#4,141
100.4157297.054.0(+43.0)#10053.0(+44.0)#4,231

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Kentucky?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Kentucky are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
769.0
#5
650.0
#6
465.0
#7
451.0
#8
381.0
#9
339.0
#10
338.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Kentucky?
41607 has the Most Births per 1,000 Women Below Poverty Level in Kentucky with 1,000.0.
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.