Funders › TX › Max Wendell & Bertha Tilton Scholarship Fund › 2020
Grants paid by Max Wendell & Bertha Tilton Scholarship Fund, tax year 2020
EIN 59-7268944 · Dallas, TX · Form 990-PF, Part XV · NTEE B82
In tax year 2020, Max Wendell & Bertha Tilton Scholarship Fund (EIN 59-7268944) reported 7 grants paid totaling $10,000. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2020
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2020 | Northeastern University Boston, MA | U | $2,500 | paid | SCHOLARSHIPS | 202100219349100415 |
| 2020 | College Fo the Holy Cross Worcester, MA | U | $2,500 | paid | SCHOLARSHIP | 202100219349100415 |
| 2020 | Umass Lowell Lowell, MA | U | $1,000 | paid | SCHOLARSHIP | 202100219349100415 |
| 2020 | University of Connecticut Storrs, CT | B | $1,000 | paid | SCHOLARSHIP | 202100219349100415 |
| 2020 | University of New England Biddeford, ME | B | $1,000 | paid | SCHOLARSHIP | 202100219349100415 |
| 2020 | University of New Hampshire Durham, NH | U | $1,000 | paid | SCHOLARSHIP | 202100219349100415 |
| 2020 | Umass Amherst Amherst, MA | U | $1,000 | paid | SCHOLARSHIP | 202100219349100415 |
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.