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FundersTXElla Frances Brisley & Noma Brisley Phillips › 2022

Grants paid by Ella Frances Brisley & Noma Brisley Phillips, tax year 2022

EIN 43-1343600 · Richardson, TX · Form 990-PF, Part XV

In tax year 2022, Ella Frances Brisley & Noma Brisley Phillips (EIN 43-1343600) reported 6 grants paid totaling $164,250. Dataset version 2026.09.0, built 2026-09-03.

2019202020212022202320242025

Every grant, 2022

Grants reported by Ella Frances Brisley & Noma Brisley Phillips for tax year 2022
Tax yearRecipientMatchAmountTypePurposeSource filing
2022Central Methodist Fayette, MOC$50,000paidFOR SCHOOL OF NURSING202211239349102306
2022University of Missouri at Kansas City (umkc) Kansas City, MOD$43,000paidFOR SCHOOL OF NURSING202211239349102306
2022Baker University - School of Nursing Baldwin City, KSU$25,500paidFOR SCHOOL OF NURSING202211239349102306
2022University of Kansas Endowment Association Kansas City, KSD$18,000paidFOR SCHOOL OF NURSING202211239349102306
2022William Jewell College Liberty, MOB$15,000paidFOR SCHOOL OF NURSING202211239349102306
2022Avila University - School of Nursing Kansas City, MOU$12,750paidFOR SCHOOL OF NURSING202211239349102306

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.