Funders › NY › Alan & Jacqueline Mitchell Foundation › 2020
Grants paid by Alan & Jacqueline Mitchell Foundation, tax year 2020
EIN 26-3876377 · Woodcliff Lk, NY · Form 990-PF, Part XV · NTEE T20
In tax year 2020, Alan & Jacqueline Mitchell Foundation (EIN 26-3876377) reported 5 grants paid totaling $57,500. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2020
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2020 | Texas A&m University Foundation College Station, TX | U | $30,000 | paid | TO BENEFIT PUBLIC CHARITABLE ORGANIZATION | 202101679349100770 |
| 2020 | Hpu Fund for Extraordinary Education High Point, NC | U | $10,000 | paid | TO BENEFIT PUBLIC CHARITABLE ORGANIZATION | 202101679349100770 |
| 2020 | Convent of the Sacred Heart New York, NY | B | $10,000 | paid | TO BENEFIT PUBLIC CHARITABLE ORGANIZATION | 202101679349100770 |
| 2020 | Sigma Chi Foundation Evanston, IL | B | $5,000 | paid | TO BENEFIT PUBLIC CHARITABLE ORGANIZATION | 202101679349100770 |
| 2020 | David Lynch Foundation New York, NY | U | $2,500 | paid | TO BENEFIT PUBLIC CHARITABLE ORGANIZATION | 202101679349100770 |
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.