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. 41607 1,000.0 54.0 (+946)#1 53.0 (+947)#10
2. 42638 1,000.0 54.0 (+946)#2 53.0 (+947)#19
3. 41181 1,000.0 54.0 (+946)#3 53.0 (+947)#43
4. 40170 769.0 54.0 (+715)#4 53.0 (+716)#72
5. 41132 650.0 54.0 (+596)#5 53.0 (+597)#111
6. 42762 465.0 54.0 (+411)#6 53.0 (+412)#201
7. 40442 451.0 54.0 (+397)#7 53.0 (+398)#214
8. 42069 381.0 54.0 (+327)#8 53.0 (+328)#282
9. 42044 339.0 54.0 (+285)#9 53.0 (+286)#357
10. 41554 338.0 54.0 (+284)#10 53.0 (+285)#359
11. 41659 324.0 54.0 (+270)#11 53.0 (+271)#397
12. 41666 312.0 54.0 (+258)#12 53.0 (+259)#422
13. 41560 309.0 54.0 (+255)#13 53.0 (+256)#426
14. 40062 306.0 54.0 (+252)#14 53.0 (+253)#438
15. 41254 300.0 54.0 (+246)#15 53.0 (+247)#452
16. 40111 286.0 54.0 (+232)#16 53.0 (+233)#495
17. 42518 281.0 54.0 (+227)#17 53.0 (+228)#518
18. 41571 268.0 54.0 (+214)#18 53.0 (+215)#570
19. 41043 246.0 54.0 (+192)#19 53.0 (+193)#686
20. 41615 237.0 54.0 (+183)#20 53.0 (+184)#733
21. 41189 234.0 54.0 (+180)#21 53.0 (+181)#745
22. 41651 233.0 54.0 (+179)#22 53.0 (+180)#755
23. 40983 227.0 54.0 (+173)#23 53.0 (+174)#792
24. 40953 226.0 54.0 (+172)#24 53.0 (+173)#798
25. 40827 216.0 54.0 (+162)#25 53.0 (+163)#856
26. 41083 214.0 54.0 (+160)#26 53.0 (+161)#863
27. 40858 200.0 54.0 (+146)#27 53.0 (+147)#985
28. 41265 198.0 54.0 (+144)#28 53.0 (+145)#1,009
29. 41840 189.0 54.0 (+135)#29 53.0 (+136)#1,111
30. 40152 177.0 54.0 (+123)#30 53.0 (+124)#1,258
31. 42369 173.0 54.0 (+119)#31 53.0 (+120)#1,325
32. 41527 171.0 54.0 (+117)#32 53.0 (+118)#1,357
33. 41352 171.0 54.0 (+117)#33 53.0 (+118)#1,359
34. 41093 169.0 54.0 (+115)#34 53.0 (+116)#1,378
35. 42064 167.0 54.0 (+113)#35 53.0 (+114)#1,418
36. 42207 163.0 54.0 (+109)#36 53.0 (+110)#1,498
37. 42204 162.0 54.0 (+108)#37 53.0 (+109)#1,526
38. 40076 159.0 54.0 (+105)#38 53.0 (+106)#1,568
39. 42528 159.0 54.0 (+105)#39 53.0 (+106)#1,571
40. 41777 159.0 54.0 (+105)#40 53.0 (+106)#1,573
41. 40940 159.0 54.0 (+105)#41 53.0 (+106)#1,583
42. 40868 158.0 54.0 (+104)#42 53.0 (+105)#1,600
43. 41421 154.0 54.0 (+100.0)#43 53.0 (+101)#1,672
44. 41175 153.0 54.0 (+99.0)#44 53.0 (+100.0)#1,679
45. 41124 152.0 54.0 (+98.0)#45 53.0 (+99.0)#1,708
46. 42170 151.0 54.0 (+97.0)#46 53.0 (+98.0)#1,731
47. 41231 150.0 54.0 (+96.0)#47 53.0 (+97.0)#1,753
48. 42519 148.0 54.0 (+94.0)#48 53.0 (+95.0)#1,788
49. 41524 147.0 54.0 (+93.0)#49 53.0 (+94.0)#1,825
50. 40380 145.0 54.0 (+91.0)#50 53.0 (+92.0)#1,852
51. 41826 145.0 54.0 (+91.0)#51 53.0 (+92.0)#1,869
52. 41464 145.0 54.0 (+91.0)#52 53.0 (+92.0)#1,875
53. 42055 144.0 54.0 (+90.0)#53 53.0 (+91.0)#1,886
54. 42262 142.0 54.0 (+88.0)#54 53.0 (+89.0)#1,942
55. 41006 138.0 54.0 (+84.0)#55 53.0 (+85.0)#2,052
56. 41086 133.0 54.0 (+79.0)#56 53.0 (+80.0)#2,230
57. 40020 133.0 54.0 (+79.0)#57 53.0 (+80.0)#2,248
58. 40903 132.0 54.0 (+78.0)#58 53.0 (+79.0)#2,272
59. 42223 131.0 54.0 (+77.0)#59 53.0 (+78.0)#2,281
60. 42436 130.0 54.0 (+76.0)#60 53.0 (+77.0)#2,328
61. 40046 130.0 54.0 (+76.0)#61 53.0 (+77.0)#2,329
62. 41828 130.0 54.0 (+76.0)#62 53.0 (+77.0)#2,342
63. 42411 129.0 54.0 (+75.0)#63 53.0 (+76.0)#2,365
64. 42458 128.0 54.0 (+74.0)#64 53.0 (+75.0)#2,414
65. 41839 127.0 54.0 (+73.0)#65 53.0 (+74.0)#2,465
66. 42374 125.0 54.0 (+71.0)#66 53.0 (+72.0)#2,554
67. 42565 124.0 54.0 (+70.0)#67 53.0 (+71.0)#2,594
68. 42274 122.0 54.0 (+68.0)#68 53.0 (+69.0)#2,666
69. 42066 120.0 54.0 (+66.0)#69 53.0 (+67.0)#2,732
70. 41548 119.0 54.0 (+65.0)#70 53.0 (+66.0)#2,788
71. 40982 118.0 54.0 (+64.0)#71 53.0 (+65.0)#2,854
72. 42330 117.0 54.0 (+63.0)#72 53.0 (+64.0)#2,875
73. 42324 116.0 54.0 (+62.0)#73 53.0 (+63.0)#2,941
74. 42157 116.0 54.0 (+62.0)#74 53.0 (+63.0)#2,951
75. 42232 113.0 54.0 (+59.0)#75 53.0 (+60.0)#3,105
76. 41224 112.0 54.0 (+58.0)#76 53.0 (+59.0)#3,142
77. 42160 112.0 54.0 (+58.0)#77 53.0 (+59.0)#3,150
78. 40121 110.0 54.0 (+56.0)#78 53.0 (+57.0)#3,258
79. 41046 110.0 54.0 (+56.0)#79 53.0 (+57.0)#3,286
80. 42323 110.0 54.0 (+56.0)#80 53.0 (+57.0)#3,298
81. 42081 109.0 54.0 (+55.0)#81 53.0 (+56.0)#3,326
82. 41512 109.0 54.0 (+55.0)#82 53.0 (+56.0)#3,348
83. 41348 108.0 54.0 (+54.0)#83 53.0 (+55.0)#3,411
84. 41238 108.0 54.0 (+54.0)#84 53.0 (+55.0)#3,418
85. 42409 107.0 54.0 (+53.0)#85 53.0 (+54.0)#3,459
86. 42058 107.0 54.0 (+53.0)#86 53.0 (+54.0)#3,464
87. 42634 105.0 54.0 (+51.0)#87 53.0 (+52.0)#3,608
88. 41001 104.0 54.0 (+50.0)#88 53.0 (+51.0)#3,637
89. 40374 104.0 54.0 (+50.0)#89 53.0 (+51.0)#3,672
90. 42776 104.0 54.0 (+50.0)#90 53.0 (+51.0)#3,678
91. 41045 104.0 54.0 (+50.0)#91 53.0 (+51.0)#3,684
92. 42455 103.0 54.0 (+49.0)#92 53.0 (+50.0)#3,737
93. 41539 102.0 54.0 (+48.0)#93 53.0 (+49.0)#3,839
94. 41601 102.0 54.0 (+48.0)#94 53.0 (+49.0)#3,851
95. 40013 99.0 54.0 (+45.0)#95 53.0 (+46.0)#4,043
96. 42782 99.0 54.0 (+45.0)#96 53.0 (+46.0)#4,084
97. 42445 98.0 54.0 (+44.0)#97 53.0 (+45.0)#4,116
98. 40118 98.0 54.0 (+44.0)#98 53.0 (+45.0)#4,117
99. 42406 98.0 54.0 (+44.0)#99 53.0 (+45.0)#4,141
100. 41572 97.0 54.0 (+43.0)#100 53.0 (+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.