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Plinth

· Private foundation

Egtvedt Charitable Trust Special 3

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.

$1.3M
Granted FY2024still arriving
10
Grants FY2024still arriving
3
States reached
$276k
Largest
01What you fund
01100% classified

What you funded, over time

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

Health$1.1MPhilanthropy$635kArts & Culture$467kEducation$179kYouth Development$106k
02FY2024 · 10 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • $10k–50k1 grant · $36k
  • $50k–250k8 grants · $987k
  • $250k+1 grant · $276k
$92,102
Median grant
3
States reached
$22M
Total assets
Largest grants
RecipientAmount
SEATTLE CHILDRENS HOSPITAL$276,306
THE KENNEY$240,070
FRED HUTCHINSON CANCER CENTER$221,952
UNITED WAY OF KING COUNTY$184,207
PACIFIC LUTHERAN UNIVERSITY$92,102
VIRGINIA MASON FOUNDATION$73,984
SEATTLE FOUNDATION$64,922
NAVOS$55,865
BOYS REPUBLIC$54,356
EISENHOWER MEDICAL CENTER$36,236
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:

Your human-services grants (FY23–24, $106k) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 10%BOYS REPUBLIC: $54k → 14%BOYS REPUBLIC: $51k → 14%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.
$2.4M · 9 repeat orgs$0 to everyone else

9 repeat relationships — 9 still active in FY2024, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

9
0

Total granted

$2.4M
$0

Still filing today

67%
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
HealthPhilanthropyEducationHuman ServicesOther

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

  • FH
    Fred Hutchinson Cancer Center
    2× · 2023–2024 · $432k · revenue +9%
  • N
    NAVOS
    2× · 2023–2024 · $109k · revenue +15%
  • BR
    Boys Republic
    2× · 2023–2024 · $106k · revenue +46%

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

    7 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. 7 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)
    7/7
    Grantees still filing
    5/7
    Grew since you first funded

    Where your money sits — by cause, then by grantee

    SEATTLE CHILDRENS HOSPITAL — $537,701 · OtherSEATTLE CHILDRENS HOSPITALTHE KENNEY — $467,184 · OtherTHE KENNEYVIRGINIA MASON FOUNDATION — $143,976 · OtherVIRGINIA MASON FOUNDATIONFred Hutchinson Cancer Center — $431,926 · HealthFred Hutchinson Cancer Cent…NAVOS — $108,715 · HealthNAVOSEisenhower Medical Center — $70,517 · HealthEisenhower Medical CenterUNITED WAY OF KING COUNTY — $358,473 · PhilanthropyUNITED WAY OF KING CO…SEATTLE FOUNDATION — $132,467 · PhilanthropySEATTLE FOUNDATIONPacific Lutheran University — $179,234 · EducationBoys Republic — $105,778 · Human Services
    Other$1,148,861Health$611,158Philanthropy$490,940Education$179,234Human Services$105,778

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

    25%50%75%100%$100Mgrantee revenue →↑ your share of their budgetFred Hutchinson Cancer Center — $431,926 over 2y, 0.0% of budgetUNITED WAY OF KING COUNTY — $358,473 over 2y, 0.3% of budgetPacific Lutheran University — $179,234 over 2y, 0.1% of budgetSEATTLE FOUNDATION — $132,467 over 2y, 0.0% of budgetNAVOS — $108,715 over 2y, 0.1% of budgetBoys Republic — $105,778 over 2y, 0.2% of budgetEisenhower Medical Center — $70,517 over 2y, 0.0% 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.

    Government reliance of your grantees

    Every dot is one organization Egtvedt Charitable Trust Special 3 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%13%25%38%50%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 · 0–50%
      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

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