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Plinth

· Private foundation

The Walter G Schendel III Family Founda Walter G Schendel Trustee

Its FY2017 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$117k
Granted FY2017
7
Grants FY2017
2
States reached
$46k
Largest
01What you fund
01FY2017 · 7 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2017

  • Under $10k4 grants · $11k
  • $10k–50k3 grants · $106k
$4,000
Median grant
2
States reached
$173k
Total assets
Largest grants
RecipientAmount
HOLE FOOD RESCUE$45,749
THE COMMUNITY FOUNDATION OF JACKSON HOLE$35,000
ONE22$25,000
COMMUNITY ENTRY SERVICES$4,000
TETON COUNTY SEARCH AND RESCUE FOUNDATION$3,000
CENTER FOR THE ARTS$3,000
SHOSHONE PET RESCUE$1,000
02The need
02

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:

Your human-services grants (FY17–17, $25k) land where the poverty rate runs at 5%, against an area that typically sits at 9%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 9%ONE22: $25k → 5%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 field
03the grantee network

6 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. 6 of the 7 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)
4
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since you first funded

Where your money sits — by cause, then by grantee

Hole Food Rescue — $45,749 · Food & NutritionHole Food RescueCOMMUNITY FOUNDATION OF JACKSON HOLE — $35,000 · PhilanthropyCOMMUNITY FOUNDATION OF JACKSON H…One22 Inc — $25,000 · Human ServicesOne22 IncCOMMUNITY ENTRY SERVICES INC — $4,000 · EmploymentTeton County Search & Rescue Foundation — $3,000 · Public Safety & DisasterCommunity Center for the Arts — $3,000 · Arts & CultureSHOSHONE PET RESCUE INC — $1,000 · Other
Food & Nutrition$45,749Philanthropy$35,000Human Services$25,000Employment$4,000Public Safety & Disaster$3,000Arts & Culture$3,000Other$1,000

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

25%50%75%100%$10Mgrantee revenue →↑ your share of their budgetHole Food Rescue — $45,749 over 1y, 14% of budgetCOMMUNITY FOUNDATION OF JACKSON HOLE — $35,000 over 1y, 0.1% of budgetOne22 Inc — $25,000 over 1y, 2.5% of budgetCOMMUNITY ENTRY SERVICES INC — $4,000 over 1y, 0.0% of budgetTeton County Search & Rescue Foundation — $3,000 over 1y, 0.6% 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.

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 tightly interlocked camp — most of these funders back each other's grantees too.

Hughes Charitable FoundationWY13.6× affinity4 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: Hughes Charitable Foundation · The McKnight Foundation · Morgan Stanley Global Impact Funding Trust Inc · National Philanthropic Trust · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · 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 The Walter G Schendel III Family Founda Walter G Schendel Trustee 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%0%1%3%5%your 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
    3report 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, 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 7 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 2017, released 2017. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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