The data in the maps show the geographic distribution in the United States, at both state and county levels, of retail opioid prescriptions dispensed per 100 persons from 2006–2016. Data are displayed using state and county level boundaries. The state maps portray these rates for each of the 50 states plus the District of Columbia. The county maps portray these rates for almost all U.S. counties for a given year from 2006-2016.
This layer displays locations of child day care organizations. Address-level data are acquired from the July 2018 IRS Exempt Organization Business Master File Extract (EO BMF); day care service organizations are selected as a subset of exempt organizations based on three-digit activity code or three-digit National Taxonomy of Exempt Organization (NTEE) code.
This layer displays locations of places of worship. Address-level data are acquired from the July 2018 IRS Exempt Organization Business Master File Extract (EO BMF) based on filing requirement code.
This layer displays the total number of federal disaster and emergency declarations for flood events by county for through June, 2018. For this analysis, flood events include the following designated events: Mud/Landslide; Dam/Levee Break; and Flood.
For more layers from this series, browse the Map Room data and navigate to Environment>Emergency Management.
This layer displays the total number of federal disaster and emergency declarations by county for the year 2017. Disaster events include severe weather events (like tornadoes, hurricanes, and floods) as well as emergencies of man-made origin (like terrorist attacks or toxic spills). For more layers from this series, browse the Map Room data and navigate to Environment>Emergency Management.
Layer displays cancer incidence rates (all sites) per 100,000 population by state and county. Additional map layers from this update include incidence rates for breast cancer, colon and rectum cancer, lung cancer, prostate cancer, and more.
This dataset contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. Hierarchical Bayesian space-time models were used to generate hierarchical Bayes estimates of county teen birth rates for each year. Data are provided by the Centers for Disease Control and Prevention (CDC) National Center for Health Statistics (NCHS).
DEFINITIONS
Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size. The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate.
NOTES:
Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for years 2003–2020.
Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.
For more information, please visit the CDC NCHS Teen Birth Rates by County web page.
Layer displays the percentage of Medicare beneficiaries with at least one visit to their primary care physician in 2015. Data are acquired from the Dartmouth Atlas of Healthcare and mapped by Hospital Service Area, County, and State.
The Area Deprivation Index has been publically released! The ADI map displays rankings of neighborhoods by socioeconomic status disadvantage in a region of interest (e.g. at the state or national level). It includes factors for the theoretical domains of income, education, employment, and housing quality. It can be used to inform health delivery and policy, especially for the most disadvantaged neighborhood groups.
This layer displays the total number and rate of tax-exempt organizations classified as 501(c)(3) from the July 2018 Exempt Organizations Business Master File Extract (EO BMF). Data are displayed by county and ZIP Code Tabulation Area (ZCTA).