Grants paid by Seven Woods Foundation
EIN 91-1585493 · Bellevue, WA · Form 990-PF, Part XV
Seven Woods Foundation of Bellevue, WA (EIN 91-1585493) reported 9 grants paid totaling $682,912 to 5 recipients in tax years 2020–2023, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$682,912
9 grants
Recipients
5
distinct organizations
Tax years
2020–2023
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 2 | $36,333 | — |
| 2021 | 2 | $35,579 | — |
| 2022 | 3 | $425,400 | — |
| 2023 | 2 | $185,600 | — |
Top recipients
The 5 recipients receiving the most from Seven Woods Foundation, by grants paid, out of 5 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Matsuri Foundation of Canada | U | British Columbia Ca | 2 | $382,000 | 2023 |
| Polg Foundation 87-1876876 | B | New York, NY | 1 | $220,000 | 2022 |
| Glenlyon Norfolk School | U | Victoria, BRITISH COLUMBIA | 2 | $62,488 | 2021 |
| Oxford School 95-3514063 | C | Berkeley, CA | 3 | $12,292 | 2023 |
| Harris Jeff | U | Renton, WA | 1 | $6,132 | 2020 |
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.
Every grant
All 9 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Matsuri Foundation of Canada British Columbia Ca | U | $182,000 | paid | UNRESTRICTED CHARITABLE GRANT | 202433179349100333 |
| 2023 | Oxford School Berkeley, CA | C | $3,600 | paid | UNRESTRICTED CHARITABLE GRANT | 202433179349100333 |
| 2022 | Polg Foundation New York, NY | B | $220,000 | paid | UNRESTRICTED CHARITABLE GRANT | 202342419349101204 |
| 2022 | Matsuri Foundation of Canada British Columbia Ca | U | $200,000 | paid | UNRESTRICTED CHARITABLE GRANT | 202342419349101204 |
| 2022 | Oxford School Berkeley, CA | C | $5,400 | paid | UNRESTRICTED CHARITABLE GRANT | 202342419349101204 |
| 2021 | Glenlyon Norfolk School Victoria, BRITISH COLUMBIA | U | $32,287 | paid | GENERAL SUPPORT | 202202379349100770 |
| 2021 | Oxford School Berkeley, CA | C | $3,292 | paid | GENERAL SUPPORT | 202202379349100770 |
| 2020 | Glenlyon Norfolk School Victoria, BRITISH COLUMBIA | U | $30,201 | paid | GENERAL SUPPORT | 202132659349100713 |
| 2020 | Harris Jeff Renton, WA | U | $6,132 | paid | GENERAL SUPPORT | 202132659349100713 |
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.
Source filings
Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990PF | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202433179349100333 |
| 990PF | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202342419349101204 |
| 990PF | 2021 | 2021-12-31 | not stated | 2021v4.2 | 202202379349100770 |
| 990PF | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202132659349100713 |
Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/911585493.json.
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.