Zip Codes with the Highest Poverty Level Among Single Mothers in Kentucky

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Highest Poverty | Single Mother
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 Highest Poverty Level Among Single Mothers in Kentucky

100.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in Kentucky Map

Zip Codes with the Highest Poverty Level Among Single Mothers in Kentucky

Zip Code Single Mother Poverty vs State vs National
1. 40162 100.0% 41.8% (+58.2)#1 33.1% (+66.9)#13
2. 40734 100.0% 41.8% (+58.2)#2 33.1% (+66.9)#64
3. 41222 100.0% 41.8% (+58.2)#3 33.1% (+66.9)#75
4. 41514 100.0% 41.8% (+58.2)#4 33.1% (+66.9)#87
5. 42055 100.0% 41.8% (+58.2)#5 33.1% (+66.9)#119
6. 41774 100.0% 41.8% (+58.2)#6 33.1% (+66.9)#122
7. 41557 100.0% 41.8% (+58.2)#7 33.1% (+66.9)#137
8. 40935 100.0% 41.8% (+58.2)#8 33.1% (+66.9)#140
9. 41562 100.0% 41.8% (+58.2)#9 33.1% (+66.9)#145
10. 40003 100.0% 41.8% (+58.2)#10 33.1% (+66.9)#148
11. 42081 100.0% 41.8% (+58.2)#11 33.1% (+66.9)#153
12. 41776 100.0% 41.8% (+58.2)#12 33.1% (+66.9)#164
13. 40119 100.0% 41.8% (+58.2)#13 33.1% (+66.9)#172
14. 41121 100.0% 41.8% (+58.2)#14 33.1% (+66.9)#177
15. 40771 100.0% 41.8% (+58.2)#15 33.1% (+66.9)#188
16. 41603 100.0% 41.8% (+58.2)#16 33.1% (+66.9)#198
17. 42712 100.0% 41.8% (+58.2)#17 33.1% (+66.9)#207
18. 42733 100.0% 41.8% (+58.2)#18 33.1% (+66.9)#225
19. 42079 100.0% 41.8% (+58.2)#19 33.1% (+66.9)#231
20. 41044 100.0% 41.8% (+58.2)#20 33.1% (+66.9)#248
21. 41043 100.0% 41.8% (+58.2)#21 33.1% (+66.9)#258
22. 42649 100.0% 41.8% (+58.2)#22 33.1% (+66.9)#267
23. 40472 100.0% 41.8% (+58.2)#23 33.1% (+66.9)#268
24. 40046 100.0% 41.8% (+58.2)#24 33.1% (+66.9)#289
25. 41719 100.0% 41.8% (+58.2)#25 33.1% (+66.9)#306
26. 41722 100.0% 41.8% (+58.2)#26 33.1% (+66.9)#321
27. 42456 100.0% 41.8% (+58.2)#27 33.1% (+66.9)#339
28. 42123 100.0% 41.8% (+58.2)#28 33.1% (+66.9)#348
29. 41425 100.0% 41.8% (+58.2)#29 33.1% (+66.9)#360
30. 41348 100.0% 41.8% (+58.2)#30 33.1% (+66.9)#383
31. 42024 100.0% 41.8% (+58.2)#31 33.1% (+66.9)#413
32. 41548 100.0% 41.8% (+58.2)#32 33.1% (+66.9)#430
33. 41804 100.0% 41.8% (+58.2)#33 33.1% (+66.9)#432
34. 42344 100.0% 41.8% (+58.2)#34 33.1% (+66.9)#435
35. 41332 100.0% 41.8% (+58.2)#35 33.1% (+66.9)#443
36. 40144 100.0% 41.8% (+58.2)#36 33.1% (+66.9)#448
37. 40868 100.0% 41.8% (+58.2)#37 33.1% (+66.9)#459
38. 41265 100.0% 41.8% (+58.2)#38 33.1% (+66.9)#460
39. 40157 100.0% 41.8% (+58.2)#39 33.1% (+66.9)#464
40. 41831 100.0% 41.8% (+58.2)#40 33.1% (+66.9)#474
41. 41642 100.0% 41.8% (+58.2)#41 33.1% (+66.9)#495
42. 40819 100.0% 41.8% (+58.2)#42 33.1% (+66.9)#500
43. 40445 100.0% 41.8% (+58.2)#43 33.1% (+66.9)#511
44. 42339 100.0% 41.8% (+58.2)#44 33.1% (+66.9)#517
45. 41250 100.0% 41.8% (+58.2)#45 33.1% (+66.9)#521
46. 41669 100.0% 41.8% (+58.2)#46 33.1% (+66.9)#522
47. 40856 100.0% 41.8% (+58.2)#47 33.1% (+66.9)#541
48. 41666 100.0% 41.8% (+58.2)#48 33.1% (+66.9)#543
49. 42565 100.0% 41.8% (+58.2)#49 33.1% (+66.9)#546
50. 40145 100.0% 41.8% (+58.2)#50 33.1% (+66.9)#550
51. 41659 100.0% 41.8% (+58.2)#51 33.1% (+66.9)#559
52. 41260 100.0% 41.8% (+58.2)#52 33.1% (+66.9)#573
53. 40012 100.0% 41.8% (+58.2)#53 33.1% (+66.9)#584
54. 40346 100.0% 41.8% (+58.2)#54 33.1% (+66.9)#592
55. 42323 100.0% 41.8% (+58.2)#55 33.1% (+66.9)#595
56. 41238 100.0% 41.8% (+58.2)#57 33.1% (+66.9)#616
57. 40903 100.0% 41.8% (+58.2)#58 33.1% (+66.9)#617
58. 41180 100.0% 41.8% (+58.2)#59 33.1% (+66.9)#639
59. 41636 100.0% 41.8% (+58.2)#60 33.1% (+66.9)#658
60. 40845 100.0% 41.8% (+58.2)#61 33.1% (+66.9)#699
61. 41746 100.0% 41.8% (+58.2)#62 33.1% (+66.9)#727
62. 40923 100.0% 41.8% (+58.2)#63 33.1% (+66.9)#752
63. 40958 100.0% 41.8% (+58.2)#64 33.1% (+66.9)#802
64. 42157 100.0% 41.8% (+58.2)#65 33.1% (+66.9)#803
65. 41615 100.0% 41.8% (+58.2)#66 33.1% (+66.9)#804
66. 41721 100.0% 41.8% (+58.2)#67 33.1% (+66.9)#834
67. 40902 100.0% 41.8% (+58.2)#68 33.1% (+66.9)#845
68. 41759 100.0% 41.8% (+58.2)#69 33.1% (+66.9)#875
69. 41274 100.0% 41.8% (+58.2)#70 33.1% (+66.9)#908
70. 41725 100.0% 41.8% (+58.2)#71 33.1% (+66.9)#924
71. 40826 100.0% 41.8% (+58.2)#72 33.1% (+66.9)#926
72. 40863 100.0% 41.8% (+58.2)#73 33.1% (+66.9)#931
73. 41606 100.0% 41.8% (+58.2)#74 33.1% (+66.9)#932
74. 41317 100.0% 41.8% (+58.2)#75 33.1% (+66.9)#934
75. 41566 100.0% 41.8% (+58.2)#76 33.1% (+66.9)#937
76. 40110 100.0% 41.8% (+58.2)#77 33.1% (+66.9)#950
77. 41766 100.0% 41.8% (+58.2)#78 33.1% (+66.9)#964
78. 40913 100.0% 41.8% (+58.2)#79 33.1% (+66.9)#969
79. 41149 100.0% 41.8% (+58.2)#80 33.1% (+66.9)#970
80. 41408 100.0% 41.8% (+58.2)#81 33.1% (+66.9)#977
81. 42280 100.0% 41.8% (+58.2)#82 33.1% (+66.9)#981
82. 41632 100.0% 41.8% (+58.2)#83 33.1% (+66.9)#993
83. 42321 100.0% 41.8% (+58.2)#84 33.1% (+66.9)#1,006
84. 41503 100.0% 41.8% (+58.2)#85 33.1% (+66.9)#1,073
85. 41563 100.0% 41.8% (+58.2)#86 33.1% (+66.9)#1,102
86. 40997 100.0% 41.8% (+58.2)#87 33.1% (+66.9)#1,105
87. 41540 100.0% 41.8% (+58.2)#88 33.1% (+66.9)#1,112
88. 40820 100.0% 41.8% (+58.2)#89 33.1% (+66.9)#1,151
89. 41663 100.0% 41.8% (+58.2)#90 33.1% (+66.9)#1,178
90. 41421 100.0% 41.8% (+58.2)#91 33.1% (+66.9)#1,184
91. 42541 100.0% 41.8% (+58.2)#92 33.1% (+66.9)#1,195
92. 40830 100.0% 41.8% (+58.2)#93 33.1% (+66.9)#1,225
93. 42762 100.0% 41.8% (+58.2)#94 33.1% (+66.9)#1,229
94. 41560 100.0% 41.8% (+58.2)#95 33.1% (+66.9)#1,258
95. 41651 100.0% 41.8% (+58.2)#96 33.1% (+66.9)#1,356
96. 40818 100.0% 41.8% (+58.2)#97 33.1% (+66.9)#1,396
97. 41643 100.0% 41.8% (+58.2)#98 33.1% (+66.9)#1,425
98. 40874 100.0% 41.8% (+58.2)#99 33.1% (+66.9)#1,441
99. 40062 100.0% 41.8% (+58.2)#100 33.1% (+66.9)#1,453
100. 41390 100.0% 41.8% (+58.2)#101 33.1% (+66.9)#1,470

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in Kentucky?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in Kentucky are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Single Mothers in Kentucky?
40162 has the Highest Poverty Level Among Single Mothers in Kentucky with 100.0%.
What is the Poverty Level Among Single Mothers in the State of Kentucky?
Poverty Level Among Single Mothers in Kentucky is 41.8%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.