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Plinth

· Private foundation

Weeks Charitable Trust

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$115k
Granted FY2024still arriving
10
Grants FY2024still arriving
3
States reached
$30k
Largest
01What you fund
0190% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20232024.

International$135kHuman Services$10kAnimals$3kFood & Nutrition$2kOther$0
02FY2024 · 10 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k6 grants · $17k
  • $10k–50k4 grants · $99k
$8,500
Median grant
3
States reached
$3.4M
Total assets
Largest grants
RecipientAmount
MERCY UGANDA$29,660
LOVE OF VIETNAM EXPRESSED$28,150
PROJECT HOPE$24,000
UNITED WITH HOPE$16,810
LYDIA HOUSE INTERNATIONAL$8,500
SALVATION ARMY$5,000
FREDERICKSBURG REGIONAL FOOD BANK$1,000
Individual grant recipient$1,000
SPCA$1,000
CAUSE 4 PAWS$300
02The need
03

Do your dollars go where the need is?

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

show:

Dollar for dollar, your grants (FY23–24) land where the poverty rate runs at 12%, against an area that typically sits at 9%. 62% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%MERCY UGANDA: $30k → 12%UNITED WITH HOPE: $17k → 13%LYDIA HOUSE INTERNATIONAL: $9k → 6%PROJECT HOPE: $24k → 7%SPCA: $1k → 8%RIKKI'S REFUGE: $1k → 10%SALVATION ARMY: $5k → 15%LOVE OF VIETNAM EXPRESSED: $28k → 21%MERCY UGANDA: $2k → 12%UNITED WITH HOPE: $1k → 13%LYDIA HOUSE INTERNATIONAL: $8k → 6%PROJECT HOPE: $15k → 7%SPCA: $1k → 8%RIKKI'S REFUGE: $1k → 10%SALVATION ARMY: $5k → 15%LOVE OF VIETNAM EXPRESSED: $2k → 21%CAUSE 4 PAWS: $1k → 10%CAUSE 4 PAWS: $300 → 10%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

100%of every dollar goes to organizations you’ve funded before.
$152k · 10 repeat orgs$0 to everyone else

10 repeat relationships — 10 still active in FY2024, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

10
0

Total granted

$152k
$0

Still filing today

40%
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%’23’24
RenewedFirst-time

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

’23’24
InternationalFood & NutritionAnimalsOther

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • PROJECT HOPE - THE PEOPLE-TO-PEOPLE HEALTH FOUNDATION INC
    2× · 2023–2024 · $39k · revenue +3%
  • FR
    FREDERICKSBURG REGIONAL FOOD BANK
    2× · 2023–2024 · $2k · revenue +23%
  • C4
    CAUSE 4 PAWS
    2× · 2023–2024 · $1k · revenue +0%

Funded once

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

    04Your field
    04the grantee network

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

    Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

    Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 5 of the 10 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

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

    Where your money sits — by cause, then by grantee

    PROJECT HOPE - THE PEOPLE-TO-PEOPLE HEALTH FOUNDATION INC — $39,000 · InternationalPROJECT HOPE - THE PEOPLE-TO-PEOPLE HEALTH FOUNDATION INCMERCY UGANDA INC — $31,660 · InternationalMERCY UGANDA INCLydia House International — $16,000 · InternationalLydia House InternationalLOVE OF VIETNAM EXPRESSED — $30,550 · OtherLOVE OF VIETNAM EXPRESSEDUNITED WITH HOPE — $17,810 · OtherUNITED WITH HOPESALVATION ARMY — $10,000 · OtherSALVATION ARMY+2 more — $4,000 · Other+2 moreFREDERICKSBURG REGIONAL FOOD BANK — $2,000 · Food & NutritionCAUSE 4 PAWS — $1,300 · Animals
    International$86,660Other$62,360Food & Nutrition$2,000Animals$1,300

    Each org by its size and your share of it — top-left is where you’re load-bearing

    25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetPROJECT HOPE - THE PEOPLE-TO-PEOPLE HEALTH FOUNDATION INC — $39,000 over 2y, 0.0% of budgetLydia House International — $16,000 over 2y, 8.5% of budgetFREDERICKSBURG REGIONAL FOOD BANK — $2,000 over 2y, 0.0% of budgetCAUSE 4 PAWS — $1,300 over 2y, 1.0% of budget
    Go grantee by grantee — a decade per org, and how each moved after you funded them

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

    • Who funds PROJECT HOPE - THE PEOPLE-TO-PEOPLE HEALTH FOUNDATION INC
    • Who funds MERCY UGANDA INC
    • Who funds Lydia House International
    • Who funds FREDERICKSBURG REGIONAL FOOD BANK
    • Who funds CAUSE 4 PAWS

    The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.

    Amazonsmile FoundationWA2.7× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

    Open a dossier: Amazonsmile Foundation

    Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

    Government reliance of your grantees

    Every dot is one organization Weeks Charitable Trust funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

    2024
    202122232425
    no gov · 00%1%3%6%10%your 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, FY2025

      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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

      On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 10 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

      Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

      Source object · view filing

      More from the funding graph