Funders › CA › The Elfenworks Foundation › 2019
Grants paid by The Elfenworks Foundation, tax year 2019
EIN 20-5522254 · San Mateo, CA · Form 990-PF, Part XV · NTEE T20
In tax year 2019, The Elfenworks Foundation (EIN 20-5522254) reported 8 grants paid totaling $116,520. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2019
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2019 | Fractured Atlas New York, NY | C | $80,000 | paid | GRANT | 202020879349100512 |
| 2019 | Ucsf Foundation San Francisco, CA | U | $10,000 | paid | GRANT | 202020879349100512 |
| 2019 | Mills College Oakland, CA | U | $10,000 | paid | GRANT | 202020879349100512 |
| 2019 | The Foundation of Csumb Seaside, CA | U | $7,500 | paid | GRANT | 202020879349100512 |
| 2019 | Sharsheret Los Angeles, CA | U | $5,000 | paid | GRANT | 202020879349100512 |
| 2019 | Guide Dogs for the Blind San Rafael, CA | C | $2,020 | paid | GRANT | 202020879349100512 |
| 2019 | The Solutions Project Oakland, CA | C | $1,000 | paid | GRANT | 202020879349100512 |
| 2019 | Peninsula Symphony Association Los Altos, CA | C | $1,000 | paid | GRANT | 202020879349100512 |
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.