Funders › MA › Westra Family Charitable Trust › 2023
Grants paid by Westra Family Charitable Trust, tax year 2023
EIN 38-7175518 · Manchester, MA · Form 990-PF, Part XV · NTEE T20
In tax year 2023, Westra Family Charitable Trust (EIN 38-7175518) reported 7 grants paid totaling $136,000. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2023
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Harvard University Cambridge, MA | C | $55,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | Elevate New England Lowell, MA | B | $25,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | University of Virginia Charlottesville, VA | U | $20,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | Serve and Connect Columbia, SC | B | $15,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | Norman B Leventhal Map & Education Center Boston, MA | B | $10,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | Boston Public Library Fdn Boston, MA | C | $10,000 | paid | CHARITABLE | 202443129349100334 |
| 2023 | Grub Street Inc Boston, MA | B | $1,000 | paid | CHARITABLE | 202443129349100334 |
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.