Grants paid by Seattle Seahawks Women's Association
EIN 90-0775964 · Renton, WA · Form 990, Schedule I · NTEE T30
Seattle Seahawks Women's Association of Renton, WA (EIN 90-0775964) reported 7 grants paid totaling $376,676 to 3 recipients in tax years 2020–2023, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$376,676
7 grants
Recipients
3
distinct organizations
Tax years
2020–2023
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 4 | $162,000 | — |
| 2021 | 1 | $15,000 | — |
| 2022 | 1 | $25,000 | — |
| 2023 | 1 | $174,676 | — |
Top recipients
The 3 recipients receiving the most from Seattle Seahawks Women's Association, by grants paid, out of 3 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Seattle Foundation 91-6013536 | A | Seattle, WA | 2 | $304,676 | 2023 |
| One Love Foundation 27-2904497 | A | Bronxville, NY | 3 | $70,000 | 2022 |
| Ronald Mcdonald House 91-1061043 | A | Seattle, WA | 2 | $2,000 | 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 7 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Seattle Foundation Seattle, WA | A | $174,676 | paid | BEN'S FUND - TO SUPPORT PEOPLE WITH AUTISM AND HELP THEM REACH THEIR FULL POTENTIAL | 202422899349303152 |
| 2022 | One Love Foundation Bronxville, NY | A | $25,000 | paid | HELP RAISE AWARENESS ABOUT THE WARNING SIGNS OF UNHEALTHY RELATIONSHIPS | 202303109349302655 |
| 2021 | One Love Foundation Bronxville, NY | A | $15,000 | paid | HELP RAISE AWARENESS ABOUT THE WARNING SIGNS OF UNHEALTHY RELATIONSHIPS | 202202169349301325 |
| 2020 | Seattle Foundation Seattle, WA | A | $130,000 | paid | BEN'S FUND - TO SUPPORT CHILDREN AND YOUNG ADULTS ON THE AUTISM SPECTRUM. | 202122999349300012 |
| 2020 | One Love Foundation Bronxville, NY | A | $30,000 | paid | HELP RAISE AWARENESS ABOUT THE WARNING SIGNS OF UNHEALTHY RELATIONSHIPS | 202122999349300012 |
| 2020 | Ronald Mcdonald House Seattle, WA | A | $1,000 | paid | TO SUPPORT FAMILIES WITH SERIOUSLY ILL CHILDREN AT HOSPITALS. | 202122999349300012 |
| 2020 | Seattle Foundation Seattle, WA | A | $1,000 | paid | BLACK FUTURE CO-OP FUND - TO UPLIFT BLACK PEOPLE AND BLACK COMMUNITIES THROUGHOUT THE STATE | 202122999349300012 |
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 |
|---|---|---|---|---|---|
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202422899349303152 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202303109349302655 |
| 990 | 2021 | 2021-12-31 | not stated | 2021v4.2 | 202202169349301325 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202122999349300012 |
Derived from IRS Form 990 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/900775964.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.