Benefits
To access the data through the Virginia Department of Social Services, please visit this website and download the “Local Agency Caseload & Expenditure” files: http://www.dss.virginia.gov/geninfo/reports/agency_wide/ldss_profile.cgi.
Source: VDSS, "Client Cross-Program Locality (Statewide) Yearly Analysis". Reporting unduplicated counts of clients within each locality (clients may be counted more than once if they moved to a different locality). Unduplicated numbers of clients statewide are also provided. Medicaid counts include individuals enrolled through state facilities managed by the Department of Behavioral Health and Developmental Services (DBHDS). The report uses client data from ADAPT for SFY 2012-2016 counts and VaCMS for counts in SFY 2017 and later. Clients refer only to eligible (i.e., "participating, not excluded") household members.
For questions, contact the Virginia Department of Social Services, Office of Research and Planning. Email: Research@dss.virginia.gov.
Filtering Data
Hovering over a locality, CSB, or region on the map, or over a data point on a graph will highlight exact data values. Select a locality, CSB, or region using the dropdown menu to filter the data to that location. Don't want to see everything? Use filters to select data from certain years and demographic subgroups.
Downloading Data
The download button at the bottom right of each dashboard allows you to download a PDF or image of the current dashboard view. At the top of each tab, you will also see an information icon. Hover over the icon to read more about the data sources and links to access the raw data, if available.
Data Considerations
Data suppression criteria follows the criteria provided by the data source. Suppression criteria may vary across data sources and is used to maintain confidentiality.
Many data tabs include the option to view data as a count and as a rate. Count data is useful in looking at the total quantity of an event but may be influenced by the size of the underlying population. A rate means that the data was standardized to a common denominator and can be compared across geographic or demographic groups.