The TAGGS Assistance Listing Report provides detailed award information for a single Assistance Listing. The data provided is from FY 2008 or from the start date of data collection through the present. For information prior to FY 2008, please use the TAGGS Advanced Search.
In the top display you will see the name of the Assistance Listing, agency, assistance type, and any popular name it might use, along with the 5-digit Assistance Listing Number.
Assistance Listings consisting of Direct Payment Awards may not contain links to additional recipient and award information. Direct Payment data is often collected as aggregated payments to a state to protect the personal information of the assistance recipients.
Along with the bar chart broken up by Issue Date or Funding Fiscal Year, there is also an exportable table below that groups by Issue Date or Funding Fiscal Year and shows the recipient name, state, award number, award title and amount from each award action.
By using the radio buttons, you may view data by the Issue Date Fiscal Year of by Funding Fiscal Year. In most cases, the Issue Date and Funding Fiscal Years coincide, although in some cases, delays in issuing an award and award close outs will cause the Issue Date of an award to be outside the of the Funding Fiscal Year.
Table data can be exported by choosing one of the export-format icons located at the top right of the table. Export file formats include:
*Abstracts not included
PLEASE NOTE: Exports are limited to 25,000 recordsThe two Fiscal Year (FY) viewing options are:
Issue Date FY | The FY in which the award action Occurred |
Funding FY | The FY in which the award action Funded |
To enter Keyboard Support and Web Page Reader Support for the report results grid view, you will need to press Ctrl Shift G
Action | Shortcut |
Move through rows | ← ↑ ↓ → |
Next page | SHIFT PAGE DOWN |
Previous page | SHIFT PAGE UP |
Move through column headers and data fields | TAB |
Sort ASC/DESC when a column header is selected | ENTER |
Objectives: This program supports extensive scientific evidence, links nonmedical factors, including systemic racism and the lack of economic opportunities, with poor health outcomes and increased mortality rates, all of which are preventable. Factors such as poverty, inadequate housing, poor health care, and other debilitating social conditions, commonly referred to as social determinants of health, contribute to long-standing disparities and health inequities. These social conditions contribute to the increased prevalence of cardiovascular disease (CVD) in the US population. CVD is the leading cause of death in the US; stroke is the 5th leading cause. In 2020, about 1 in 5 adults who died from CVD were younger than 65 years old. It is estimated that 1 in 9 health care dollars are spent on CVD. CVD mortality rates declined for several decades due to both clinical and public health interventions, but recently declining death rates from both heart disease and stroke have stalled. One reason is that hypertension, the primary risk factor for CVD, is very common (1 in 2 US adults has hypertension) but control is not. Only 1 in 4 adults with hypertension (26.1%) has it under control. Gains have been made in treating high cholesterol, another primary risk factor for CVD. Overall, the age-adjusted prevalence of high cholesterol decreased from 21% to 10% from 1988–1994 to 2017–2018. This improvement is due in part to individuals’ healthy behaviors such as eating a healthy diet, losing weight, being physically active, and medication adherence, along with clinical contributions from appropriate prescribing and intensification of medication. Additional public health and health system interventions aimed at preventing, detecting, and controlling elevated cholesterol and blood pressure can help to further decrease CVD mortality. This program aims to implement and evaluate evidence-based strategies contributing to the prevention and management of CVD in populations disproportionately at risk. Given the importance of health equity, this program addresses social and economic factors to help communities and health systems respond to social determinants present in their communities to offer those at risk of or burdened with CVD the best health outcomes possible.