Funders › NC › The Rallis-Richner Foundation › 2023
Grants paid by The Rallis-Richner Foundation, tax year 2023
EIN 56-2167465 · Cary, NC · Form 990-PF, Part XV · NTEE T22
In tax year 2023, The Rallis-Richner Foundation (EIN 56-2167465) reported 6 grants paid totaling $10,500. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2023
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | University of North Alabama Florence, AL | U | $3,000 | paid | The Susanne Richner Rallis ACONHP Student Support Fund | 202430869349100808 |
| 2023 | Duke University Durham, NC | B | $2,500 | paid | SCHOOL OF LAW ANNUAL FUND | 202430869349100808 |
| 2023 | Loyola University New Orleans New Orleans, LA | B | $1,500 | paid | COLLEGE OF NURSING AND HEALTH | 202430869349100808 |
| 2023 | Lung Cancer Initiative of Nc Raleigh, NC | C | $1,500 | paid | LUNG CANCER INITIATIVE OF NORTH CAROLINA | 202430869349100808 |
| 2023 | Salisbury School Salisbury, CT | B | $1,500 | paid | ANNUAL FUND | 202430869349100808 |
| 2023 | Duke University Durham, NC | B | $500 | paid | SCHOOL OF NURSING ANNUAL FUND | 202430869349100808 |
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.