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FundersTXDarthea Morrow Tua › 2020

Grants paid by Darthea Morrow Tua, tax year 2020

EIN 04-2866532 · Concord, TX · Form 990-PF, Part XV

In tax year 2020, Darthea Morrow Tua (EIN 04-2866532) reported 10 grants paid totaling $44,000. Dataset version 2026.09.0, built 2026-09-03.

202020212022202320242025

Every grant, 2020

Grants reported by Darthea Morrow Tua for tax year 2020
Tax yearRecipientMatchAmountTypePurposeSource filing
2020University of Mass Amherst Amherst, MAU$8,000paidSCHOLARSHIP202101239349100610
2020Umass Boston Boston, MAU$4,000paidSCHOLARSHIP202101239349100610
2020Union College Barbourville, KYB$4,000paidSCHOLARSHIP202101239349100610
2020Univ of Virginia Charlottesville, VAU$4,000paidSCHOLARSHIP202101239349100610
2020Ithaca College Ithaca, NYU$4,000paidSCHOLARSHIP202101239349100610
2020Univ of South Florida Tampa, FLU$4,000paidSCHOLARSHIP202101239349100610
2020Duke University Durham, NCB$4,000paidSCHOLARSHIP202101239349100610
2020Brandeis Univ Waltham, MAB$4,000paidSCHOLARSHIP202101239349100610
2020Rochester Institute of Tech Rochester, NYC$4,000paidSCHOLARSHIP202101239349100610
2020Smith College Northampton, MAB$4,000paidSCHOLARSHIP202101239349100610

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.