Funders › UT › Western Institute for Veterans Research › 2022
Grants paid by Western Institute for Veterans Research, tax year 2022
EIN 87-0470748 · Salt Lake City, UT · Form 990, Schedule I · NTEE E66Z
In tax year 2022, Western Institute for Veterans Research (EIN 87-0470748) reported 6 grants paid totaling $245,999. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Duke University Curham, NC | A | $79,855 | paid | MEDICAL RESEARCH | 202311539349300401 |
| 2022 | University of Michigan Ann Arbor, MI | A | $54,600 | paid | MEDICAL RESEARCH | 202311539349300401 |
| 2022 | Greater Los Angeles Veterans Research and Education Foundation Los Angeles, CA | A | $45,640 | paid | MEDICAL RESEARCH | 202311539349300401 |
| 2022 | Idaho State University Pocatello, ID | A | $32,865 | paid | MEDICAL RESEARCH | 202311539349300401 |
| 2022 | Center for Veterans Research and Education Minneapolis, MN | A | $25,390 | paid | MEDICAL RESEARCH | 202311539349300401 |
| 2022 | Veterans Health Foundation Pittsburgh, PA | A | $7,649 | paid | MEDICAL RESEARCH | 202311539349300401 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.