Funders › CA › Plant-for-the-Planet US › 2023
Grants paid by Plant-for-the-Planet US, tax year 2023
EIN 38-3940108 · Santa Fe Springs, CA · Form 990, Schedule I · NTEE C36
In tax year 2023, Plant-for-the-Planet US (EIN 38-3940108) reported 7 grants paid totaling $594,216. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2023
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Global Forest Generation The Plains, VA | A | $382,748 | paid | To Plant Trees | 202333189349317843 |
| 2023 | African Women Rising Santa Barbara, CA | A | $99,626 | paid | To Plant Trees | 202333189349317843 |
| 2023 | One Tree Planted Shelburne, VT | A | $46,652 | paid | To Plant Trees | 202333189349317843 |
| 2023 | American Forests Washington, DC | A | $43,411 | paid | To Plant Trees | 202333189349317843 |
| 2023 | Earth Island Institute Berkeley, CA | A | $7,871 | paid | To Plant Trees | 202333189349317843 |
| 2023 | Jane Goodall Institute Washington, DC | A | $7,793 | paid | To Plant Trees | 202333189349317843 |
| 2023 | Rainforest Trust Inc Warrenton, VA | A | $6,115 | paid | To Plant Trees | 202333189349317843 |
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 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.