Individuals Under Medical Assistance Diagnosed with Opioid Use Disorder CY 2015-Current Annual County Human Services
data.pa.gov | Last Updated 22 Mar 2024This dataset contains the total counts of PA Department of Human Services (DHS) Medical Assistance (MA) individuals diagnosed with Opioid Use Disorder (OUD) or OUD Poisoning. Also included are individuals receiving MAT (Medication assisted treatment - the use of medications in combination with counseling and behavioral therapies for the treatment of substance use disorders.) NOT diagnosed in the same period. Counts are reported by case county and cover calendar years 2015 - 2018.
This dataset has the following 15 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| County Name | county | text | Case of County name (includes STATE as an option) where individual receiving treatment | ADAMS ALLEGHENY ARMSTRONG BEAVER BEDFORD view top 100 |
| FIPS County Code | fips_county_code | text | Five-digit Federal Information Processing Standards (FIPS) code which uniquely identifies each Pennsylvania county. 42000=Pennsylvania, 42001=Adams, 42003=Allegheny,…42133=York. | 42000 42001 42003 42005 42007 view top 100 |
| Beginning Year Date | beginning_year_date | calendar_date | The beginning date of the year of the data being reported. | 2015-01-01T00:00:00.000 2016-01-01T00:00:00.000 2017-01-01T00:00:00.000 2018-01-01T00:00:00.000 2019-01-01T00:00:00.000 view top 100 |
| Year | year | text | Calendar year for the count of babies on MA (Medical Assistance) diagnosis with NAS (Neonatal Abstinence Syndrome) | 2015 2016 2017 2018 2019 view top 100 |
| Date Revised | date_revised | calendar_date | Date County or Statewide data was last altered. Date in MM/DD/YYYY format. | 2018-02-14T00:00:00.000 2019-11-04T00:00:00.000 2020-08-10T00:00:00.000 2023-08-11T00:00:00.000 2021-08-27T00:00:00.000 view top 100 |
| Count | count | number | Calculated total of individuals for each county/STATE† †Non-numerical values: ND=Not displayed (for any count that is 10 or less) | 402 1423 87 352 339 view top 100 |
| Measure | measure | text | Count of the number of individuals under MA (Medical Assistance) diagnoses with OUD (Opioid Use Disorder) | Number of MA recipients with OUD Counts less than 11 are suppressed view top 100 |
| Number of Records | number_of_records | number | Identifies number of values associated with this County/State | 1 view top 100 |
| Time Measure | time_measure | text | Time frame rate is based on Calendar year January 1, 20XX to December 31, 20XX) | Yearly view top 100 |
| County Code Number | county_code_number | number | Integer ranging from 1 to 67 indicating the Pennsylvania county when ordered numerically. | 0 1 2 3 4 view top 100 |
| County Code | county_code | text | A 2-digit code indicating county within Pennsylvania, which is the same as County Code Number but with leading zeroes. | 00 01 02 03 04 view top 100 |
| State FIPS Code | state_fips_code | text | These are the first 2 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/library/reference/code-lists/ansi.html | 42 view top 100 |
| County FIPS Code | county_fips_code | text | The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county. | 057 001 003 005 007 view top 100 |
| Latitude & Longitude | latitude_longitude | text | If the Lat/Long point is null, then the county is unknown. This is a generic point for latitude and longitude in each county to give the ability to create visualizations such as map layers. The latitude and longitude for the state of Pennsylvanian will fall to the south east of Pennsylvania actually in Maryland so that the information for a statewide total can also be displayed on a map layer without affecting information in another county. | (39.346129, -75.167756) (39.85480393420, -80.22943816550) (39.87209565030, -77.22224270760) (39.91657866520, -75.40627712120) (39.91944780300, -79.65189634640) view top 100 |
| Georeferenced Latitude & Longitude | georeferenced_latitude_longitude | point | Georeferenced column as a point used for creating visuals such as maps. A generic point for reach county is supplied so a map can be created.This is a generic point for latitude and longitude in each county to give the ability to create visualizations such as map layers. The latitude and longitude for the state of Pennsylvanian will fall to the south east of Pennsylvania actually in Maryland so that the information for a statewide total can also be displayed on a map layer without affecting information in another county. | {"coordinates":[-76.223323851,40.707512431],"type":"Point"} {"coordinates":[-75.6009948118,40.6146479416],"type":"Point"} {"coordinates":[-76.0181300338,41.5189248803],"type":"Point"} {"coordinates":[-75.140236002,40.0044435384],"type":"Point"} {"coordinates":[-75.6121834524,41.4391006428],"type":"Point"} view top 100 |