The intent of the data is to provide an overview of cumulative state and federal expenditures dedicated to COVID-19 preparedness and response. Where applicable, detail information is provided at the agency/fund/commitment-item level.

Find abbreviation descriptions in the excel attachment below

Scope of data includes expenditures attributed to federal funding provided through the Coronavirus Aid, Relief, and Economic Security Act (“CARES Act”) (PL 116-136), the Coronavirus Preparedness and Response Supplemental Appropriations Act (PL 116-123), the Families First Coronavirus Response Act (PL 116-127), and the Robert T. Stafford Disaster Relief and Emergency Assistance Act (“Stafford Act”)(PL 100-707); state expenditures attributed to the Governor’s disaster proclamation; and all other state expenditures incurred in response to the COVID-19 pandemic. Due to non-applicability and/or immateriality, state expenditures uniquely assigned as matching funds for federal awards are not included within the detail. In most circumstances, federal matching requirements were waived in response to COVID-19.

Expenditure data contained within the dataset is extracted from the Funds Management (FM) module of the Commonwealth’s accounting system (SAP). Expenditures, reported as cumulative through the end of the defined reporting period, are generally recognized and recorded when a liability to make a payment is incurred, regardless of when the cash disbursement is to be made. Unique account assignments have been established and utilized independently by each Commonwealth agency/program to distinguish expenditures attributed to the COVID-19 pandemic.

Please note that the data reported may not reconcile directly to spending reported to the federal government for the same period due to differences in how spending is grouped or classified, or due to specific data submission requirements.

This page will lead to all the information included in the Governor’s Executive Budget. Links to all Agency or Office story pages are provided and those stories with explain and provide data and charts for each key Program Measures included in the Governor's Budget.

The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Friday to Thursday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-20 means the average/sum/coverage of the elements captured from that given facility starting and including Friday, November 20, 2020, and ending and including reports for Thursday, November 26, 2020.

Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

A “_coverage” append denotes how many times the facility reported that element during that collection week.
A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
A “_avg” append is the average of the reports provided for that facility for that element during that collection week.
The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

This data is preliminary and subject to change as more data become