The population count of Kentucky was 4,424,376 in 2017.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Kentucky

  • API

    Median Household Income All States 2000-2012

    opendata.utah.gov | Last Updated 2019-04-19T06:16:01.000Z

    Median Household Income All States 2000-2012

  • API

    Number Of Minor Effect Illnesses From Exposure To All Pesticides By States

    opendata.utah.gov | Last Updated 2019-04-19T02:39:04.000Z

    Number Of Minor Effect Illnesses From Exposure To All Pesticides By States

  • API

    NYPD Arrests Data (Historic)

    data.cityofnewyork.us | Last Updated 2019-04-03T19:51:24.000Z

    List of every arrest in NYC going back to 2006 through the end of the previous calendar year. This is a breakdown of every arrest effected in NYC by the NYPD going back to 2006 through the end of the previous calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

  • API

    NYPD Arrest Data (Year to Date)

    data.cityofnewyork.us | Last Updated 2019-03-08T21:14:41.000Z

    This is a breakdown of every arrest effected in NYC by the NYPD during the current year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

  • API

    State Profiles: FY 2014 Public Libraries Survey (Data)

    data.imls.gov | Last Updated 2017-09-07T15:48:11.000Z

    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

  • API

    Incidence Rate Of Pancreatic Cancer Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T06:47:25.000Z

    Incidence Rate Of Pancreatic Cancer Per 100,000 All States

  • API

    Creating Healthy Communities Coalition (CHCC) Activities

    data.cincinnati-oh.gov | Last Updated 2019-03-15T13:15:57.000Z

    This dataset contains information on the Cincinnati Health Department's (CHD) Creating Healthy Communities Coalition (CHCC). Creating Health Communities is an Ohio Department of Health (ODH) program. This dataset has the location and estimated number of people impacted by CHCC activities implemented in 2015-2017. For more information, visit https://www.cincinnati-oh.gov/health/cincinnati-health-department-divisions1/environmental-health/health-promotion-worksite-wellness/ Disclaimers: The CHCC dashboard includes data from outside the city limits, including Northern Kentucky, Hamilton County, Columbus area, and Dayton area, for the following measures: UDF Healthy Food Retail, Produce Perks, and Tobacco Free Policies. A residential population may be impacted by multiple PSE changes, due to the location of various PSE changes. For example, in 2015 the Stanley Rowe Senior Citizens population was impacted by a Crime Prevention Through Environmental Design PSE change. The same population was impacted again in 2016 with a Smoke-free Policy change.

  • API

    Incidence Rate Of Larynx Cancer Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T07:50:56.000Z

    Incidence Rate Of Larynx Cancer Per 100,000 All States

  • API

    Incidence Of Brain And Central Nervous System Cancer Age 15 Under Per 1,000,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T01:42:51.000Z

    Incidence Of Brain And Central Nervous System Cancer Age 15 Under Per 1,000,000 All States

  • API

    Medicare Referring Provider DMEPOS PUF CY2013

    data.cms.gov | Last Updated 2017-10-31T15:20:02.000Z

    The 2013 Referring Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) Public Use File (herein referred to as “Referring Provider DMEPOS PUF”) presents information on DMEPOS products and services provided to Medicare beneficiaries ordered by physicians and other healthcare professionals. The Referring Provider DMEPOS PUF contains data on utilization, payment (allowed amount and Medicare payment), and submitted charges organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code and supplier rental indicator. This PUF is based on information from CMS administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program available from the CMS Chronic Condition Data Warehouse (www.ccwdata.org). The data in the Referring Provider DMEPOS PUF covers calendar year 2013 and contains final-action (i.e., all claim adjustments have been resolved) Part B non-institutional DMEPOS line items for the Medicare fee-for-service (FFS) population. While the Referring Provider DMEPOS PUF has a wealth of information on payment and utilization for Medicare DMEPOS services, 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 as it only includes information on Medicare fee-for-service beneficiaries. In addition, the data are not intended to indicate the quality of care provided and are not risk-adjusted to account for differences in underlying severity of disease of patient populations. For additional limitations, please review the methodology document available below.