Funders › TX › Charles a King UW-Equity › 2019
Grants paid by Charles a King UW-Equity, tax year 2019
EIN 04-6012742 · Dallas, TX · Form 990-PF, Part XV
In tax year 2019, Charles a King UW-Equity (EIN 04-6012742) reported 7 grants paid totaling $965,447. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2019
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2019 | Harvard Medical Cambridge, MA | U | $320,462 | paid | MEDICAL RESEARCH FELLOWSHIP | 202041429349100519 |
| 2019 | University of Mass Medical School Worcester, MA | U | $161,187 | paid | MEDICAL RESEARCH | 202041429349100519 |
| 2019 | Boston College Chestnut Hill, MA | U | $111,652 | paid | MEDICAL RESEARCH | 202041429349100519 |
| 2019 | Beth Israel Deaconess Boston, MA | U | $108,096 | paid | MEDICAL RESEARCH | 202041429349100519 |
| 2019 | Children's Hospital Boston, MA | B | $106,400 | paid | MEDICAL RESEARCH | 202041429349100519 |
| 2019 | Dana Farber Cancer Instit Boston, MA | C | $104,450 | paid | MEDICAL RESEARCH FELLOWSHIP | 202041429349100519 |
| 2019 | Boston University Boston, MA | U | $53,200 | paid | MEDICAL RESEARCH | 202041429349100519 |
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-PF 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.