Skip to content
The Ellen Bayard Weedon Foundation at a glance

· Private foundation

The Ellen Bayard Weedon Foundation

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.

$163k
Granted FY2025still arriving
5
Grants FY2025still arriving
4
States reached
$63k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2025.

Arts & Culture$575kEducation$245kPublic Safety & Disaster$35kInternational$14k
02FY2025 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k1 grant · $5k
  • $10k–50k2 grants · $45k
  • $50k–250k2 grants · $113k
$25,000
Median grant
4
States reached
$713k
Total assets
Largest grants
RecipientAmount
THE UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION$63,000
THE VIRGINIA MUSEUM OF FINE ARTS$50,000
RUBIN MUSEUM OF ART$25,000
HELPING HART INC$20,000
ASIAN ART MUSEUM$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:

Dollar for dollar, its grants (FY19–25) land where the poverty rate runs at 16%, against an area that typically sits at 12%. 67% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%ASIAN ART MUSEUM: $15k → 10%RUBIN MUSEUM OF ART: $75k → 17%HELPING HART INC: $20k → 16%THE UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION: $70k → 8%THE VIRGINIA MUSEUM OF FINE ARTS: $50k → 22%ASIAN ART MUSEUM: $10k → 10%RUBIN MUSEUM OF ART: $70k → 17%HELPING HART INC: $15k → 16%THE UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION: $63k → 8%THE VIRGINIA MUSEUM OF FINE ARTS: $50k → 22%ASIAN ART MUSEUM: $10k → 10%RUBIN MUSEUM OF ART: $50k → 17%THE UNIVERSITY OF VIRGINIA: $50k → 8%THE VIRGINIA MUSEUM OF FINE ARTS: $50k → 22%ASIAN ART MUSEUM: $5k → 10%RUBIN MUSEUM OF ART: $50k → 17%THE UNIVERSITY OF VIRGINIA: $42k → 8%THE VIRGINIA MUSEUM OF FINE ARTS: $40k → 22%RUBIN MUSEUM OF ART: $40k → 17%THE UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION: $20k → 8%THE VIRGINIA MUSEUM OF FINE ARTS: $20k → 22%RUBIN MUSEUM OF ART: $25k → 17%THE VIRGINIA MUSEUM OF FINE ARTS: $15k → 22%UNITED NATIONS DEVELOPMENT PROGRAMME: $7k → 17%UNITED NATIONS DEVELOPMENT PROGRAMME: $7k → 17%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.
$868k · 7 repeat orgs$0 to everyone else

7 repeat relationships: 5 still active in FY2025, 2 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

7
0

Total granted

$868k
$0

Still filing today

71%
0%

New vs renewed · share of each year

In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’19’20’21’22’23’24’25
RenewedFirst-time

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

’19’20’21’22’23’24’25
PhilanthropyArts & CultureInternationalEducationPublic Safety & DisasterOther
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

  • RM
    RUBIN MUSEUM OF ART AKA THE SHELLEY & DONALD RUBIN CULTURAL TRUST
    6× · 2020–2025 · $310k · revenue +48%
  • VM
    VIRGINIA MUSEUM OF FINE ARTS
    6× · 2019–2025 · $225k
  • UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION
    3× · 2023–2025 · $153k · revenue +79%

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

    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 7 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)
    1
    Early backer (in before they grew)
    5/5
    Grantees still filing
    2/5
    Grew since first funded

    Where the money sits, by cause and then by grantee

    VIRGINIA MUSEUM OF FINE ARTS: $225,000 · OtherVIRGINIA MUSEUM OF FINE ARTSTHE UNIVERSITY OF VIRGINIA: $91,500 · OtherTHE UNIVERSITY OF VIRGINIARUBIN MUSEUM OF ART AKA THE SHELLEY & DONALD RUBIN CULTURAL TRUST: $310,000 · PhilanthropyRUBIN MUSEUM OF ART AKA THE SHELLEY & DO…UNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION: $153,000 · EducationUNIVERSITY OF VIRGI…ASIAN ART MUSEUM FOUNDATION OF SAN FRANCISCO: $40,000 · Arts & CultureHELPING HART INC: $35,000 · Public Safety & DisasterUNITED NATIONS DEVELOPMENT CORPORATION: $13,800 · International
    Other$316,500Philanthropy$310,000Education$153,000Arts & Culture$40,000Public Safety & Disaster$35,000International$13,800

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

    25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetRUBIN MUSEUM OF ART AKA THE SHELLEY & DONALD RUBIN CULTURAL TRUST: $310,000 over 6y, 0.9% of budgetUNIVERSITY OF VIRGINIA SCHOOL OF ARCHITECTURE FOUNDATION: $153,000 over 3y, 4.7% of budgetASIAN ART MUSEUM FOUNDATION OF SAN FRANCISCO: $40,000 over 4y, 0.0% of budgetHELPING HART INC: $35,000 over 2y, 59% of budgetUNITED NATIONS DEVELOPMENT CORPORATION: $13,800 over 2y, 0.0% 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.

    How much its grantees rely on government

    Each dot is one organization The Ellen Bayard Weedon Foundation funds: left to right is the share of its income from government, bottom to top the share from The Ellen Bayard Weedon Foundation. Bigger dots raise more.

    2024
    ’20’21’22’23’24’25
    no gov · 10%4%15%34%60%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
      1get 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 · 0–5%
      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 7 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

      Play a game based on Ellen Bayard Weedon’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