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· Private foundation

Harry L & Clara Cayo Wilson Fdn Tr

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$940k
Granted FY2025still arriving
7
Grants FY2025still arriving
2
States reached
$170k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Religion$1.5MHealth$886kEducation$805kHuman Services$681kYouth Development$383kPublic Benefit$298kCommunity Improvement$175k
02FY2025 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

$140,000
Median grant
2
States reached
$10M
Total assets
Largest grants
RecipientAmount
CHILDRENS HOME SOCIETY$170,000
CRISTA MINISTRIES$155,000
NORTHWEST KIDNEY CENTERS$145,000
SAINT ALPHONSUS PARISH$140,000
SEATTLE UNIVERSITY$140,000
UNIVERSITY BALLARD LIONS FOUNDATION$110,000
BALLARD BOYS AND GIRLS CLUB$80,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY25–25, $170k) land where the poverty rate runs at 11%, against an area that typically sits at 7%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%CHILDRENS HOME SOCIETY: $170k → 11%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

87%of every dollar goes to organizations it has funded before.
$4.1M · 10 repeat orgs$588k to everyone else

10 repeat relationships: 5 still active in FY2025, 5 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

10
3

Total granted

$4.1M
$273k

Still filing today

20%
0%

New vs renewed · share of each year

In FY2025, 66% of grant dollars renewed an existing relationship; $315k went to new ones.

50%100%’17’18’19’20’22’23’24’25
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’22’23’24’25
ReligionCommunity ImprovementHuman ServicesHealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • SU
    SEATTLE UNIVERSITY
    8× · 2017–2025 · $720k · revenue +62%
  • CH
    CHILDRENS HOME SOCIETY OF WASH
    6× · 2017–2024 · $581k
  • NK
    NORTHWEST KIDNEY CENTER FOUNDATION
    6× · 2017–2024 · $484k

Funded once

  • CH
    CHILDRENS HOME SOCIETY
    one grant, 2022 · $100k
  • NK
    NORTHWEST KIDNEY FOUNDATION
    one grant, 2023 · $88k
  • SA
    ST ALPHONSUS PARISH SCHOOL
    one grant, 2022 · $85k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

5 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 5 of the 15 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
4/5
Grantees still filing
3/5
Grew since first funded

Where the money sits, by cause and then by grantee

SEATTLE UNIVERSITY: $720,000 · OtherSEATTLE UNIVERSITYCHILDRENS HOME SOCIETY OF WASH: $581,000 · OtherCHILDRENS HOME SOCIETY OF WASHNORTHWEST KIDNEY CENTER FOUNDATION: $483,736 · OtherNORTHWEST KIDNEY CENTER FOUNDATIONCRISTA MINISTRIES - KING SCHOOL: $480,000 · OtherCRISTA MINISTRIES - KING SCHOOLST ALPHONSUS PARISH: $479,500 · OtherST ALPHONSUS PARISHBALLARD BOYS AND GIRLS CLUB: $383,050 · OtherBALLARD BOYS AND GIRLS CLUBBALLARD LIONS CLUB FOUNDATION: $297,919 · OtherBALLARD LIONS CLUB FOUNDATIONCORPORATION OF THE CATHOLIC: $170,000 · Other+3 more: $272,700 · Other+3 moreCRISTA Ministries: $325,000 · ReligionUniversity - Ballard Lions Foundation: $174,892 · Community ImprovementCHILDREN'S HOME SOCIETY OF MISSOURI: $170,000 · Human ServicesNORTHWEST KIDNEY CENTERS: $145,000 · Health
Other$3,867,905Religion$325,000Community Improvement$174,892Human Services$170,000Health$145,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetSEATTLE UNIVERSITY: $720,000 over 8y, 0.0% of budgetCRISTA Ministries: $325,000 over 3y, 0.1% of budgetUniversity - Ballard Lions Foundation: $174,892 over 2y, 86% of budgetNORTHWEST KIDNEY CENTERS: $145,000 over 1y, 0.1% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds SEATTLE UNIVERSITY ↗
  • Who funds CRISTA Ministries ↗
  • Who funds University - Ballard Lions Foundation ↗
  • Who funds CHILDREN'S HOME SOCIETY OF MISSOURI ↗
  • Who funds NORTHWEST KIDNEY CENTERS ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

The Blackbaud Giving FundSC11.2× affinity4 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Blackbaud Giving Fund · Donor Advised Charitable Giving Inc · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Harry L & Clara Cayo Wilson Fdn Tr funds: left to right is the share of its income from government, bottom to top the share from Harry L & Clara Cayo Wilson Fdn Tr. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%6%25%56%100%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 15 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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