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FundersOHMark Goodwin Memorial Trust › 2023

Grants paid by Mark Goodwin Memorial Trust, tax year 2023

EIN 22-3226157 · Brooklyn, OH · Form 990-PF, Part XV

In tax year 2023, Mark Goodwin Memorial Trust (EIN 22-3226157) reported 9 grants paid totaling $16,651. Dataset version 2026.09.0, built 2026-09-03.

2021202320242025

Every grant, 2023

Grants reported by Mark Goodwin Memorial Trust for tax year 2023
Tax yearRecipientMatchAmountTypePurposeSource filing
2023Worcester Polytechnic Institute Worcester, MAU$3,000paidSCHOLARSHIP202410169349100911
2023University of Maine Farmington Farmington, MED$2,500paidSCHOLARSHIP202410169349100911
2023University of New Hampshire Durham, NHU$2,000paidSCHOLARSHIP202410169349100911
2023University of Oregon Eugene, ORB$2,000paidSCHOLARSHIP202410169349100911
2023Drexel University Philadelphia, PAU$2,000paidSCHOLARSHIP202410169349100911
2023Hunter College New York, NYC$1,651paidSCHOLARSHIP202410169349100911
2023Drake University Des Moines, IAU$1,500paidSCHOLARSHIP202410169349100911
2023Hillsborough Community College Tampa, FLU$1,500paidSCHOLARSHIP202410169349100911
2023Bryant University Smithfield, RIU$500paidSCHOLARSHIP202410169349100911

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.