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George a and Marion M Wilson Foundation at a glance

· Private foundation

George a and Marion M Wilson Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$110k
Granted FY2024still arriving
8
Grants FY2024still arriving
2
States reached
$50k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2024.

Human Services$340kHealth$50kRecreation & Sports$50kHousing & Shelter$30kEducation$25kYouth Development$25k
02FY2024 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k2 grants · $10k
  • $10k–50k5 grants · $50k
  • $50k–250k1 grant · $50k
$10,000
Median grant
2
States reached
$2.0M
Total assets
Largest grants
RecipientAmount
KINDERING CENTER$50,000
CHILDREN'S HOSPITAL LOS ANGELES$10,000
WELLSPRING FAMILY SERVICES$10,000
TREEHOUSE$10,000
DIABETES CAMPING & EDUCATIONAL SERVICES INC$10,000
AMARA$10,000
MERCER ISLAND YOUTH & FAMILY SERVICES$5,000
CHILDREN'S INSTITUTE FOR LEARNING DIFFERENCES$5,000
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 (FY20–24, $90k) land where the poverty rate runs at 9%, against an area that typically sits at 11%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 11%AMARA: $15k → 9%AMARA: $15k → 9%AMARA: $10k → 9%AMARA: $10k → 9%AMARA: $10k → 9%WELLSPRING FAMILY SERVICES: $10k → 9%WELLSPRING FAMILY SERVICES: $5k → 9%WELLSPRING FAMILY SERVICES: $5k → 9%WELLSPRING FAMILY SERVICES: $5k → 9%WELLSPRING FAMILY SERVICES: $5k → 9%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.

100%of every dollar goes to organizations it has funded before.
$520k · 8 repeat orgs$0 to everyone else

8 repeat relationships: 8 still active in FY2024, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

8
0

Total granted

$520k
$0

Still filing today

88%
0%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’20’21’22’23’24
RenewedFirst-time

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

’20’21’22’23’24
Human ServicesHealthYouth DevelopmentOther
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

  • KC
    KINDERING CENTER
    5× · 2020–2024 · $250k · revenue +29%
  • AMARA
    5× · 2020–2024 · $60k · revenue +101%
  • CH
    Children's Hospital Los Angeles
    5× · 2020–2024 · $50k · revenue +27%

Funded once

    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

    7 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. 7 of the 8 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.

    0
    Load-bearing (≥25% of a budget)
    2
    Early backer (in before they grew)
    7/7
    Grantees still filing
    6/7
    Grew since first funded

    Where the money sits, by cause and then by grantee

    KINDERING CENTER: $250,000 · OtherKINDERING CENTERDiabetes Camping & Education Services: $50,000 · OtherDiabetes Camping & Education ServicesMERCER ISLAND YOUTH & FAMILY SERVICES: $25,000 · OtherMERCER ISLAND YOUTH & FAMILY SERVICESCHILDREN'S INSTITUTE FOR LEARNING DIFFER: $25,000 · OtherCHILDREN'S INSTITUTE FOR LEARNING DIFFERAMARA: $60,000 · Human ServicesAMARAWELLSPRING FAMILY SERVICES: $30,000 · Human ServicesWELLSPRING FAMILY S…Children's Hospital Los Angeles: $50,000 · HealthChildren's…TREEHOUSE: $30,000 · Youth Development
    Other$350,000Human Services$90,000Health$50,000Youth Development$30,000

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

    25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetKINDERING CENTER: $250,000 over 5y, 0.3% of budgetAMARA: $60,000 over 5y, 0.3% of budgetChildren's Hospital Los Angeles: $50,000 over 5y, 0.0% of budgetDiabetes Camping & Education Services: $50,000 over 5y, 1.5% of budgetTREEHOUSE: $30,000 over 5y, 0.0% of budgetWELLSPRING FAMILY SERVICES: $30,000 over 5y, 0.1% of budgetCHILDREN'S INSTITUTE FOR LEARNING DIFFER: $25,000 over 5y, 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 KINDERING CENTER ↗
    • Who funds AMARA ↗
    • Who funds Children's Hospital Los Angeles ↗
    • Who funds Diabetes Camping & Education Services ↗
    • Who funds TREEHOUSE ↗
    • Who funds WELLSPRING FAMILY SERVICES ↗
    • Who funds CHILDREN'S INSTITUTE FOR LEARNING DIFFER ↗

    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.

    American Online Givin…Amazonsmile Foundation
    American Online Giving Foundation IncDE8.5× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

    Open a dossier: American Online Giving Foundation 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 George a and Marion M Wilson Foundation funds: left to right is the share of its income from government, bottom to top the share from George a and Marion M Wilson Foundation. Bigger dots raise more.

    2024
    ’20’21’22’23’24’25
    no gov · 00%0%1%3%5%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →
      no gov moneyreceives it· size = income
      0get no government money at all
      1report government grants on their 990 we could not trace to a source (not plotted)
      0rely on government for over half their income
      ⤢ axis zoomed · 0–20%
      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.
      05Through Plinth

      Warm introductions · Powered by PlinthPlus

      How do I get to George a and Marion M Wilson Foundation?

      Find your warmest path to George a and Marion M Wilson Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

      Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

      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 8 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

      Source object · view filing

      Play a game based on George a and Marion M Wilson’s filings →

      More from the funding graph

      The unnamed billions
      grants reported with no recipient in the public record
      The regranting layer
      51% of grant dollars land in the regranting layer
      The DAF merry-go-round
      $9.7B circulates between donor-advised funds
      The endowment market
      who holds foundation money, and what just moved
      The camps
      funders cluster by geography, not ideology
      By state
      where grant money is based, and what stays home