- What is the Median Female Earnings?
- What is the Median Male Earnings?
- What is the Median Female Earnings (Full Time)?
- What is the Median Male Earnings (Full Time)?
- What is the Median Earnings Less Than High School?
- What is the Median Earnings High School?
- What is the Median Earnings Some College or Associates?
- What is the Median Earnings Bachelor Degree?
- What is the Median Earnings Graduate or Professional Degree?
- What is the Percent Earning less than $10,000?
The median earnings of Kentucky was $26,688 in 2013.
Earnings and Gender
Earnings and Education
Jobs and Earnings Datasets Involving Kentucky
- API opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z
Median Household Income All States 2000-2012
- API data.nola.gov | Last Updated 2015-10-13T21:53:14.000Z
This dataset is created by the City's Office of Performance and Accountability using data on household income from the U.S. Census Bureau's Public Use Microdata Samples. It includes data for the following cities: Tampa, Florida; Memphis, Tennessee; Louisville, Kentucky; Nashville, Tennessee; Raleigh, North Carolina; Atlanta, Georgia; Baton Rouge, Louisiana; New Orleans, Louisiana. This data is compiled annually beginning in 2005.
- API data.nola.gov | Last Updated 2016-02-16T21:27:01.000Z
This data on median household income by race and ethnicity comes from the U.S. Census Bureau's American Community Survey (ACS) one-year estimates, which are published on an annual basis. It includes data for the following cities: Tampa, Florida; Memphis, Tennessee; Louisville, Kentucky; Nashville, Tennessee; Raleigh, North Carolina; Atlanta, Georgia; Baton Rouge, Louisiana; New Orleans, Louisiana. This data covers the time period of 2007 to present.
- API data.imls.gov | Last Updated 2016-12-07T00:10:49.000Z
Pull up a state's profile to find state-level totals on key data such as numbers of libraries and librarians, revenue and expenditures, and collection sizes.<br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. <br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data
Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report, Calendar Year 2014data.cms.gov | Last Updated 2017-03-14T17:31:06.000Z
The “Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report”, a supplement to the Medicare Provider Utilization and Payment Data: Physician and Other Supplier data, contains information on utilization, payments (Medicare allowed amount, Medicare payment, standardized Medicare payment), and submitted charges organized by NPI. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges. In addition, beneficiary demographic and health characteristics are provided which include age, sex, race, Medicare and Medicaid entitlement, chronic conditions and risk scores.
- API data.cms.gov | Last Updated 2017-03-02T20:58:40.000Z
The Centers for Medicare & Medicaid Services (CMS) has prepared a public data set, the Medicare Provider Utilization and Payment Data: Part D Prescriber Public Use File (PUF), with information on the prescription drugs that individual physicians and other health care providers prescribed in 2013 under the Medicare Part D Prescription Drug Program. The Part D Prescriber PUF is based on information from CMS’s Prescription Drug Event Standard Analytic File, which has final-action claims that are submitted by Medicare Advantage Prescription Drug (MAPD) plans and by stand-alone Prescription Drug Plans (PDP). The new dataset identifies providers using their National Provider Identifier (NPI) and the specific prescriptions that were dispensed on their behalf, listed by brand name (if applicable) and generic name. For each prescriber and drug, the dataset includes the total number of prescriptions that were dispensed, which include original prescriptions and any refills, and the total drug cost. The total drug cost includes the ingredient cost of the medication, dispensing fees, sales tax, and any applicable administration fees and is based on the amount paid by the Part D plan, Medicare beneficiary, government subsidies, and any other third-party payors. Although the Part D Prescriber PUF has a wealth of information on payment and utilization for Medicare Part D prescriptions, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physician’s entire practice or all of Medicare as it only includes information on beneficiaries enrolled in the Medicare Part D prescription drug program (i.e., approximately two-thirds of all Medicare beneficiaries). In addition, the data are not intended to indicate the quality of care provided. For additional limitations, please review the methodology document available in the About tab.