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· Private foundation

Slater Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$101k
Granted FY2024still arriving
5
Grants FY2024still arriving
3
States reached
$50k
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 FY20172024.

Health$1.3MEducation$858kCommunity Improvement$54kScience & Tech$18kEnvironment$10kHousing & Shelter$5kRecreation & Sports$5kArts & Culture$4kOther$0
02FY2024 · 5 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k2 grants · $9k
  • $10k–50k2 grants · $43k
  • $50k–250k1 grant · $50k
$17,500
Median grant
3
States reached
$497k
Total assets
Largest grants
RecipientAmount
The Islamorada Foundation$50,000
Colorado Academy$25,000
Boothbay Sea and Science Center$17,500
Southport Island Association$5,000
Maine Lobstermen's Association$3,500
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, $10k) land where the poverty rate runs at 9%, against an area that typically sits at 7%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 7%Southport Island Association: $5k → 9%Southport Island Association: $5k → 9%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.

93%of every dollar goes to organizations you’ve funded before.
$2.1M · 4 repeat orgs$171k to everyone else

4 repeat relationships — 2 still active in FY2024, 2 since wound down; 3 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

4
10

Total granted

$2.1M
$100k

Median revenue growth · since first grant

+23%
+54%

Still filing today

50%
30%

New vs renewed · share of each year

In FY2024, 30% of grant dollars renewed an existing relationship; $71k went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

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

’17’18’19’20’21’22’23’24
Community ImprovementHealthEducationArts & CultureHuman 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

  • UO
    University of Colorado
    2× · 2017–2019 · $1.0M
  • UO
    University of Colorado Medical Camp
    4× · 2020–2023 · $1.0M
  • CA
    COLORADO ACADEMY
    3× · 2022–2024 · $80k · revenue +23%

Funded once

  • CH
    Children's Hospital Coloradograduated
    one grant, 2020 · $75k · revenue +45%
  • HF
    Habitat for Humanity
    one grant, 2017 · $5k
  • CK
    CHRIS KLUG FOUNDATIONgraduated
    one grant, 2017 · $5k · revenue +54%

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

04Your field

The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.

1
Wetlands Foundation
Environment
2
Protect Maine's Fishing Heritage Foundation
Environment
3
Boothbay Region Maritime Foundation

Preserving our Maritime Heritage by supporting working waterfront, promoting sustainable practices, and embracing the educational opportunities this stewardship provides.

Environment
4
No Salt Sailing
Recreation & Sports
5
Schmidt Ocean Institute
Science & Tech
6
The Coral Reef and Marine Science Foundation Inc C/O James Bildner
7
Marine Safety Institute

Reduce waterfront accidents, injuries and fatalities

Public Safety & Disaster
8
The Salish Sea School

The salish sea schools mission is to awaken curiosity and deepen connections with the sea through shore and sea exploration programs for all ages.

Environment
9
Cape Cod Shakespeare Festival in Chatham
Arts & Culture
10
Save Cuesta Inlet Inc
Environment
11
Coral Conservancy
12
Clean Ocean Action Inc

Clean ocean action's goal is to improve and protect the waters off the new jersey/new york coast from pollution, plastics, industrialization and climate change with research, education and citizen action.

Environment

For reference, the grantee most central to the portfolio’s shape is Chris Klug Foundation and the most unlike its peers is Upper Snowmass Creek Caucus. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

04the grantee network

9 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. 9 of the 17 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)
2
Early backer (in before they grew)
8/9
Grantees still filing
4/9
Grew since you first funded

Where your money sits — by cause, then by grantee

University of Colorado — $1,025,000 · OtherUniversity of ColoradoUniversity of Colorado Medical Camp — $1,002,611 · OtherUniversity of Colorado Medical Camp+6 more — $17,500 · OtherCOLORADO ACADEMY — $80,000 · EducationBOOTHBAY SEA AND SCIENCE CENTER — $17,500 · EducationChildren's Hospital Colorado — $75,100 · HealthCHRIS KLUG FOUNDATION — $5,000 · HealthISLAMORADA FOUNDATION INC — $50,000 · Community ImprovementMAINE LOBSTERMEN'S ASSOCIATION INC — $3,500 · Community Improvement+1 more — $500 · Community ImprovementSouthport Island Association — $10,000 · Human ServicesSalt Bay Chamberfest — $1,500 · Arts & Culture
Other$2,045,111Education$97,500Health$80,100Community Improvement$54,000Human Services$10,000Arts & Culture$1,500

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 budgetCOLORADO ACADEMY — $80,000 over 3y, 0.1% of budgetChildren's Hospital Colorado — $75,100 over 1y, 0.0% of budgetISLAMORADA FOUNDATION INC — $50,000 over 1y, 4.6% of budgetBOOTHBAY SEA AND SCIENCE CENTER — $17,500 over 1y, 3.0% of budgetSouthport Island Association — $10,000 over 2y, 3.1% of budgetCHRIS KLUG FOUNDATION — $5,000 over 1y, 1.5% of budgetMAINE LOBSTERMEN'S ASSOCIATION INC — $3,500 over 1y, 0.4% 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.

Fidelity Investments Charitable Gift FundMA4.9× affinity5 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Slater Foundation 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 · 10%0%1%3%5%your share of their income ↑0%5%10%15%20%share of the org’s income from government
    no gov moneyreceives it· size = income
    1get no government money at all
    2report 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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Slater Foundation?

    Find your warmest path to Slater 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 17 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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