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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 Fewest 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 Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky are:
#1
2.0
#2
2.0
#3
2.0
#4
3.0
#5
3.0
#6
5.0
#7
5.0
#8
6.0
#9
8.0
#10
8.0
What zip code has the Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky?
40390 has the Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky with 2.0.
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 Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky

30.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky Map

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

Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Kentucky Chart
Zip Code Births / 1,000 Women vs State vs National
1.403902.051.0(-49.0)#151.0(-49.0)#14
2.400682.051.0(-49.0)#251.0(-49.0)#34
3.424622.051.0(-49.0)#351.0(-49.0)#46
4.403473.051.0(-48.0)#451.0(-48.0)#74
5.412243.051.0(-48.0)#551.0(-48.0)#75
6.400065.051.0(-46.0)#651.0(-46.0)#187
7.401195.051.0(-46.0)#751.0(-46.0)#208
8.423786.051.0(-45.0)#851.0(-45.0)#271
9.420568.051.0(-43.0)#951.0(-43.0)#482
10.421408.051.0(-43.0)#1051.0(-43.0)#497
11.410959.051.0(-42.0)#1151.0(-42.0)#558
12.410599.051.0(-42.0)#1251.0(-42.0)#573
13.420489.051.0(-42.0)#1351.0(-42.0)#608
14.4110210.051.0(-41.0)#1451.0(-41.0)#651
15.4001910.051.0(-41.0)#1551.0(-41.0)#686
16.4047210.051.0(-41.0)#1651.0(-41.0)#731
17.4245011.051.0(-40.0)#1751.0(-40.0)#823
18.4220211.051.0(-40.0)#1851.0(-40.0)#861
19.4005011.051.0(-40.0)#1951.0(-40.0)#862
20.4100212.051.0(-39.0)#2051.0(-39.0)#986
21.4147213.051.0(-38.0)#2151.0(-38.0)#1,082
22.4082313.051.0(-38.0)#2251.0(-38.0)#1,125
23.4121913.051.0(-38.0)#2351.0(-38.0)#1,164
24.4183113.051.0(-38.0)#2451.0(-38.0)#1,188
25.4245313.051.0(-38.0)#2551.0(-38.0)#1,203
26.4203914.051.0(-37.0)#2651.0(-37.0)#1,345
27.4001115.051.0(-36.0)#2751.0(-36.0)#1,483
28.4272616.051.0(-35.0)#2851.0(-35.0)#1,622
29.4005716.051.0(-35.0)#2951.0(-35.0)#1,636
30.4002317.051.0(-34.0)#3051.0(-34.0)#1,804
31.4153717.051.0(-34.0)#3151.0(-34.0)#1,822
32.4265317.051.0(-34.0)#3251.0(-34.0)#1,823
33.4233717.051.0(-34.0)#3351.0(-34.0)#1,859
34.4235417.051.0(-34.0)#3451.0(-34.0)#1,906
35.4202518.051.0(-33.0)#3551.0(-33.0)#1,932
36.4212218.051.0(-33.0)#3651.0(-33.0)#2,000
37.4083118.051.0(-33.0)#3751.0(-33.0)#2,012
38.4074018.051.0(-33.0)#3851.0(-33.0)#2,019
39.4109218.051.0(-33.0)#3951.0(-33.0)#2,034
40.4234918.051.0(-33.0)#4051.0(-33.0)#2,058
41.4272119.051.0(-32.0)#4151.0(-32.0)#2,260
42.4073419.051.0(-32.0)#4251.0(-32.0)#2,261
43.4118319.051.0(-32.0)#4351.0(-32.0)#2,298
44.4080620.051.0(-31.0)#4451.0(-31.0)#2,498
45.4106420.051.0(-31.0)#4551.0(-31.0)#2,499
46.4204920.051.0(-31.0)#4651.0(-31.0)#2,515
47.4000920.051.0(-31.0)#4751.0(-31.0)#2,521
48.4177320.051.0(-31.0)#4851.0(-31.0)#2,533
49.4225420.051.0(-31.0)#4951.0(-31.0)#2,582
50.4208621.051.0(-30.0)#5051.0(-30.0)#2,703
51.4106321.051.0(-30.0)#5151.0(-30.0)#2,727
52.4046121.051.0(-30.0)#5251.0(-30.0)#2,734
53.4240421.051.0(-30.0)#5351.0(-30.0)#2,736
54.4166921.051.0(-30.0)#5451.0(-30.0)#2,774
55.4037222.051.0(-29.0)#5551.0(-29.0)#2,955
56.4107623.051.0(-28.0)#5651.0(-28.0)#3,090
57.4262923.051.0(-28.0)#5751.0(-28.0)#3,157
58.4050824.051.0(-27.0)#5851.0(-27.0)#3,321
59.4022324.051.0(-27.0)#5951.0(-27.0)#3,327
60.4256724.051.0(-27.0)#6051.0(-27.0)#3,417
61.4228624.051.0(-27.0)#6151.0(-27.0)#3,470
62.4271324.051.0(-27.0)#6251.0(-27.0)#3,474
63.4134824.051.0(-27.0)#6351.0(-27.0)#3,494
64.4020825.051.0(-26.0)#6451.0(-26.0)#3,610
65.4035925.051.0(-26.0)#6551.0(-26.0)#3,666
66.4037925.051.0(-26.0)#6651.0(-26.0)#3,703
67.4004525.051.0(-26.0)#6751.0(-26.0)#3,717
68.4003725.051.0(-26.0)#6851.0(-26.0)#3,722
69.4010925.051.0(-26.0)#6951.0(-26.0)#3,737
70.4105525.051.0(-26.0)#7051.0(-26.0)#3,759
71.4235225.051.0(-26.0)#7151.0(-26.0)#3,763
72.4002626.051.0(-25.0)#7251.0(-25.0)#3,931
73.4203826.051.0(-25.0)#7351.0(-25.0)#3,933
74.4017726.051.0(-25.0)#7451.0(-25.0)#4,013
75.4126026.051.0(-25.0)#7551.0(-25.0)#4,042
76.4051627.051.0(-24.0)#7651.0(-24.0)#4,263
77.4205127.051.0(-24.0)#7751.0(-24.0)#4,265
78.4241027.051.0(-24.0)#7851.0(-24.0)#4,314
79.4133227.051.0(-24.0)#7951.0(-24.0)#4,323
80.4208527.051.0(-24.0)#8051.0(-24.0)#4,328
81.4210328.051.0(-23.0)#8151.0(-23.0)#4,419
82.4114328.051.0(-23.0)#8251.0(-23.0)#4,459
83.4044728.051.0(-23.0)#8351.0(-23.0)#4,499
84.4117128.051.0(-23.0)#8451.0(-23.0)#4,522
85.4103928.051.0(-23.0)#8551.0(-23.0)#4,558
86.4207828.051.0(-23.0)#8651.0(-23.0)#4,580
87.4237228.051.0(-23.0)#8751.0(-23.0)#4,599
88.4232428.051.0(-23.0)#8851.0(-23.0)#4,618
89.4155828.051.0(-23.0)#8951.0(-23.0)#4,629
90.4150129.051.0(-22.0)#9051.0(-22.0)#4,715
91.4272829.051.0(-22.0)#9151.0(-22.0)#4,749
92.4104129.051.0(-22.0)#9251.0(-22.0)#4,806
93.4100829.051.0(-22.0)#9351.0(-22.0)#4,814
94.4274929.051.0(-22.0)#9451.0(-22.0)#4,840
95.4015029.051.0(-22.0)#9551.0(-22.0)#4,851
96.4202029.051.0(-22.0)#9651.0(-22.0)#4,915
97.4203629.051.0(-22.0)#9751.0(-22.0)#4,946
98.4109130.051.0(-21.0)#9851.0(-21.0)#5,038
99.4237630.051.0(-21.0)#9951.0(-21.0)#5,146
100.4205030.051.0(-21.0)#10051.0(-21.0)#5,181
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