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Demographic Comparison
Population
Highest PopulationHighest Population DensityLowest Population DensityMale / Female RatioFemale / Male RatioOldest PopulationOldest Population | MaleOldest Population | FemaleYoungest PopulationYoungest Population | MaleYoungest Population | Female
Families and Households
Largest Family SizeLargest Household SizeSmallest Family SizeSmallest Household Size
Female Fertility
Highest Birth Rate | All WomenHighest Birth Rate | Women 15-19Highest Birth Rate | Women 35+Highest Birth Rate | Below PovertyHighest Birth Rate | Public IncomeHighest Birth Rate | In Labor ForceLowest Birth Rate | All WomenLowest Birth Rate | Women 15-19Lowest Birth Rate | Women 35+Lowest Birth Rate | Below PovertyLowest Birth Rate | Public IncomeLowest Birth Rate | In Labor Force
Female Fertility (Unmarried)
Highest Illegitimacy | All WomenHighest Illegitimacy | Women 15-19Highest Illegitimacy | Women 35+Lowest Illegitimacy | All WomenLowest Illegitimacy | Women 15-19Lowest Illegitimacy | Women 35+
Race (Community Size)
AsianBlack / African AmericanHawaiian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHawaiian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
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
Economic Comparison
Income
Highest Per Capita IncomeHighest Earnings | MaleHighest Earnings | FemaleHighest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini IndexLowest Per Capita IncomeLowest Earnings | MaleLowest Earnings | FemaleLowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index
Income (Families)
Highest Family IncomeLowest Family IncomeFamily Income | $0-10kFamily Income | $100k+Family Income | $200k+
Income (Households)
Highest Household IncomeLowest Household IncomeHousehold Income | $0-10kHousehold Income | $200k+Household Income | $100k+
Poverty
Highest PovertyHighest Poverty | MaleHighest Poverty | FemaleHighest Poverty | Female 18-24Highest Poverty | Female 25-34Highest Poverty | Child 0-5Highest Poverty | Child 0-16Highest Poverty | Boys 0-16Highest Poverty | Girls 0-16Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest PovertyLowest Poverty | MaleLowest Poverty | FemaleLowest Poverty | Child 0-5Lowest Poverty | Child 0-16Lowest Poverty | Boys 0-16Lowest Poverty | Girls 0-16Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+
Poverty (Families)
Highest Family PovertyHighest Poverty | Married CoupleHighest Poverty | Single MaleHighest Poverty | Single FemaleHighest Poverty | Single FatherHighest Poverty | Single MotherLowest Family PovertyLowest Poverty | Married CoupleLowest Poverty | Single MaleLowest Poverty | Single FemaleLowest Poverty | Single FatherLowest Poverty | Single Mother
Unemployment
Highest UnemploymentHighest Unemployment | MaleHighest Unemployment | FemaleHighest Unemployment | Youth < 25Highest Unemployment | Senior > 65Lowest UnemploymentLowest Unemployment | MaleLowest Unemployment | FemaleLowest Unemployment | Youth < 25Lowest Unemployment | Senior > 65
Employment Occupations
Architecture & EngineeringArts, Media & EntertainmentBusiness & FinancialCleaning & MaintenanceCommunity & Social Service Computer & MathematicsComputer, Engineering & ScienceConstruction & ExtractionEducation Instruction & LibraryEducation, Arts & MediaFarming, Fishing & ForestryFirefighting & PreventionFood Preparation & ServingHealth Diagnosing & TreatingHealth TechnologistsHealthcare SupportInstallation, Maintenance & RepairLaw EnforcementLegal Services & SupportLife, Physical & Social ScienceManagementMaterial MovingOffice & AdministrationPersonal Care and ServiceProductionSales & RelatedSecurity & ProtectionTransportation
Employment Industries
Accommodation & Food ServicesAdministrative & Support ServicesAgriculture, Fishing & HuntingArts, Entertainment & RecreationConstructionEducational ServicesEnterprise ManagementFinance & InsuranceHealth Care & Social AssistanceInformation & TechnologyManufacturingMining, Quarrying, & ExtractionProfessional & Scientific ServicesPublic AdministrationReal Estate, Rental & LeasingRetail TradeTransportation & WarehousingUtilitiesWholesale Trade
Employer Class
Private Company EmployeesSelf-Employed / IncorporatedSelf-Employed / Not IncorporatedNot-for-profit OrganizationsLocal Government EmployeesState Government EmployeesFederal Government EmployeesUnpaid Family Workers
Commute Time
Longest CommuteLongest Commute | MaleLongest Commute | FemaleShortest CommuteShortest Commute | MaleShortest Commute | Female
Commute Means
Drive | AloneDrive | CarpoolPublic TransitTaxi / CabWalk to WorkWork from Home
Education Comparison
School Enrollment
In Private SchoolNursery / PreschoolKindergartenElementary SchoolMiddle SchoolHigh SchoolCollegeUniversity
Education by Degree Field
Computers and MathematicsBio, Nature & AgriculturalPhysical and Health SciencesPsychologySocial SciencesEngineeringMultidisciplinary StudiesScience and EngineeringBusinessEducationLiterature and LanguagesLiberal Arts and HistoryVisual and Performing ArtsCommunicationsArts and Humanities
Housing Comparison
Occupancy
Highest Owner-OccupiedHighest Renter-OccupiedLowest Owner-OccupiedLowest Renter-Occupied
Finances
Highest Median Housing CostsHighest Property PricesHighest Owner Housing CostsHighest Renter Housing CostsHighest Housing Costs / IncomeLowest Median Housing CostsLowest Property PricesLowest Owner Housing CostsLowest Renter Housing CostsLowest Housing Costs / Income
Physical Characteristics
Detached Home ResidencyCondo/Apartment ResidencyUtility Gas HeatingBottled Gas / LP HeatingElectrical HeatingFuel Oil HeatingCoal / Coke HeatingFuel-less HeatingHouseholds without a CarsHouseholds with 1 or more CarsHouseholds with 2 or more CarsHouseholds with 3 or more Cars

Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky?
Top 10 Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky are:
#1
1,000.0
#2
837.0
#3
709.0
#4
667.0
#5
596.0
#6
455.0
#7
449.0
#8
433.0
#9
424.0
#10
403.0
What zip code has the Most Births per 1,000 Women Receiving Public Assitance in Kentucky?
42638 has the Most Births per 1,000 Women Receiving Public Assitance in Kentucky with 1,000.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the State of Kentucky?
Number of Births per 1,000 Women Receiving Public Assitance in Kentucky is 51.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the United States?
Number of Births per 1,000 Women Receiving Public Assitance in the United States is 51.0.

Map of Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky Map

Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky

Zip Codes with the Most Births per 1,000 Women Receiving Public Assitance in Kentucky Chart
Zip Code Births / 1,000 Women vs State vs National
1.426381,000.051.0(+949)#151.0(+949)#15
2.41607837.051.0(+786)#251.0(+786)#59
3.41547709.051.0(+658)#351.0(+658)#82
4.42631667.051.0(+616)#451.0(+616)#98
5.40847596.051.0(+545)#551.0(+545)#119
6.41615455.051.0(+404)#651.0(+404)#181
7.42762449.051.0(+398)#751.0(+398)#187
8.41560433.051.0(+382)#851.0(+382)#200
9.42069424.051.0(+373)#951.0(+373)#208
10.40442403.051.0(+352)#1051.0(+352)#227
11.41524370.051.0(+319)#1151.0(+319)#280
12.40953366.051.0(+315)#1251.0(+315)#284
13.40983364.051.0(+313)#1351.0(+313)#287
14.42782356.051.0(+305)#1451.0(+305)#300
15.42044333.051.0(+282)#1551.0(+282)#339
16.41554321.051.0(+270)#1651.0(+270)#375
17.40868276.051.0(+225)#1751.0(+225)#479
18.42333275.051.0(+224)#1851.0(+224)#484
19.41231252.051.0(+201)#1951.0(+201)#583
20.41571250.051.0(+199)#2051.0(+199)#591
21.40062246.051.0(+195)#2151.0(+195)#626
22.41659243.051.0(+192)#2251.0(+192)#637
23.41254241.051.0(+190)#2351.0(+190)#652
24.40827228.051.0(+177)#2451.0(+177)#717
25.40111220.051.0(+169)#2551.0(+169)#763
26.42518209.051.0(+158)#2651.0(+158)#832
27.41666209.051.0(+158)#2751.0(+158)#833
28.40940208.051.0(+157)#2851.0(+157)#843
29.40858194.051.0(+143)#2951.0(+143)#977
30.41352193.051.0(+142)#3051.0(+142)#985
31.41226185.051.0(+134)#3151.0(+134)#1,073
32.42328165.051.0(+114)#3251.0(+114)#1,327
33.42160164.051.0(+113)#3351.0(+113)#1,343
34.41527163.051.0(+112)#3451.0(+112)#1,371
35.41189162.051.0(+111)#3551.0(+111)#1,381
36.41046156.051.0(+105)#3651.0(+105)#1,479
37.41083155.051.0(+104)#3751.0(+104)#1,507
38.42064154.051.0(+103)#3851.0(+103)#1,518
39.40020154.051.0(+103)#3951.0(+103)#1,541
40.41826152.051.0(+101)#4051.0(+101)#1,577
41.41175150.051.0(+99.0)#4151.0(+99.0)#1,615
42.42081147.051.0(+96.0)#4251.0(+96.0)#1,678
43.40076145.051.0(+94.0)#4351.0(+94.0)#1,730
44.41777144.051.0(+93.0)#4451.0(+93.0)#1,755
45.41124143.051.0(+92.0)#4551.0(+92.0)#1,775
46.41238142.051.0(+91.0)#4651.0(+91.0)#1,819
47.40152140.051.0(+89.0)#4751.0(+89.0)#1,875
48.41828137.051.0(+86.0)#4851.0(+86.0)#1,966
49.42055136.051.0(+85.0)#4951.0(+85.0)#1,982
50.42274135.051.0(+84.0)#5051.0(+84.0)#2,021
51.42262133.051.0(+82.0)#5151.0(+82.0)#2,063
52.41086133.051.0(+82.0)#5251.0(+82.0)#2,069
53.40380130.051.0(+79.0)#5351.0(+79.0)#2,161
54.41132130.051.0(+79.0)#5451.0(+79.0)#2,180
55.41839129.051.0(+78.0)#5551.0(+78.0)#2,224
56.41093128.051.0(+77.0)#5651.0(+77.0)#2,251
57.42452127.051.0(+76.0)#5751.0(+76.0)#2,293
58.42223126.051.0(+75.0)#5851.0(+75.0)#2,317
59.42565126.051.0(+75.0)#5951.0(+75.0)#2,348
60.42207124.051.0(+73.0)#6051.0(+73.0)#2,427
61.40022124.051.0(+73.0)#6151.0(+73.0)#2,429
62.42170123.051.0(+72.0)#6251.0(+72.0)#2,456
63.42330122.051.0(+71.0)#6351.0(+71.0)#2,477
64.42519122.051.0(+71.0)#6451.0(+71.0)#2,483
65.42436121.051.0(+70.0)#6551.0(+70.0)#2,524
66.42157121.051.0(+70.0)#6651.0(+70.0)#2,531
67.41464121.051.0(+70.0)#6751.0(+70.0)#2,540
68.40385117.051.0(+66.0)#6851.0(+66.0)#2,704
69.42275117.051.0(+66.0)#6951.0(+66.0)#2,713
70.41636116.051.0(+65.0)#7051.0(+65.0)#2,755
71.42054115.051.0(+64.0)#7151.0(+64.0)#2,801
72.41085115.051.0(+64.0)#7251.0(+64.0)#2,803
73.41749112.051.0(+61.0)#7351.0(+61.0)#2,961
74.42369110.051.0(+59.0)#7451.0(+59.0)#3,096
75.41540109.051.0(+58.0)#7551.0(+58.0)#3,160
76.42445108.051.0(+57.0)#7651.0(+57.0)#3,173
77.42355108.051.0(+57.0)#7751.0(+57.0)#3,207
78.41001106.051.0(+55.0)#7851.0(+55.0)#3,280
79.40071106.051.0(+55.0)#7951.0(+55.0)#3,282
80.41040106.051.0(+55.0)#8051.0(+55.0)#3,292
81.40013106.051.0(+55.0)#8151.0(+55.0)#3,297
82.41301106.051.0(+55.0)#8251.0(+55.0)#3,300
83.41539106.051.0(+55.0)#8351.0(+55.0)#3,326
84.40982104.051.0(+53.0)#8451.0(+53.0)#3,480
85.42366103.051.0(+52.0)#8551.0(+52.0)#3,524
86.42406103.051.0(+52.0)#8651.0(+52.0)#3,535
87.41016101.051.0(+50.0)#8751.0(+50.0)#3,661
88.41006101.051.0(+50.0)#8851.0(+50.0)#3,669
89.42455101.051.0(+50.0)#8951.0(+50.0)#3,671
90.42215101.051.0(+50.0)#9051.0(+50.0)#3,683
91.41267101.051.0(+50.0)#9151.0(+50.0)#3,685
92.42776100.051.0(+49.0)#9251.0(+49.0)#3,763
93.4204199.051.0(+48.0)#9351.0(+48.0)#3,833
94.4278497.051.0(+46.0)#9451.0(+46.0)#3,989
95.4016295.051.0(+44.0)#9551.0(+44.0)#4,133
96.4104395.051.0(+44.0)#9651.0(+44.0)#4,156
97.4232595.051.0(+44.0)#9751.0(+44.0)#4,158
98.4033094.051.0(+43.0)#9851.0(+43.0)#4,193
99.4223694.051.0(+43.0)#9951.0(+43.0)#4,251
100.4090393.051.0(+42.0)#10051.0(+42.0)#4,353
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