Funders › NY › Thomas & Margaret Tan Family Foundation › 2020
Grants paid by Thomas & Margaret Tan Family Foundation, tax year 2020
EIN 94-3381136 · Hamilton, NY · Form 990-PF, Part XV · NTEE T22
In tax year 2020, Thomas & Margaret Tan Family Foundation (EIN 94-3381136) reported 5 grants paid totaling $28,250. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2020
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2020 | Colgate University Hamilton, NY | B | $15,000 | paid | UNRESTRICTED GRANT FOR EDUCATION PURPOSES. | 202133349349100708 |
| 2020 | Ucsf Benioff Children's Hospital San Francisco, CA | U | $5,000 | paid | Unrestricted grant related to cancer care for children | 202133349349100708 |
| 2020 | Stanford University Stanford Ca, CA | C | $3,250 | paid | UNRESTRICTED GRANT FOR EDUCATION PURPOSES. | 202133349349100708 |
| 2020 | Bellarmine College Preparatory San Jose, CA | B | $3,000 | paid | UNRESTRICTED GRANT FOR EDUCATION PURPOSES. | 202133349349100708 |
| 2020 | Gonzaga University Spokane, WA | B | $2,000 | paid | UNRESTRICTED GRANT FOR EDUCATION PURPOSES. | 202133349349100708 |
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.