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Plinth

· Private foundation

Camp Mohawk Scholarship Trust

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.

$24k
Granted FY2025still arriving
12
Grants FY2025still arriving
3
States reached
$6k
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 FY20212025.

Education$101k
02FY2025 · 12 grants

Where the money goes

Your grants by size, and where they go.

$750
Median grant
3
States reached
$304k
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF HOUSTON FBO DESTINY$5,960
TEXAS A&M UNIVERSITY FBO HANNAH$5,960
UNIVERSITY OF TEXAS AT AUSTIN FBO BRE$5,960
RICE UNIVERSITY FBO EDITH QUINTANILLA$1,200
TEXAS A&M UNIVERSITY FBO JAYLYN SMITH$1,000
UNIVERSITY OF TEXAS AT AUSTIN$750
ALVIN COMMUNITY COLLEGE FBO HAYDEN$500
ALVIN COMMUNITY COLLEGE FBO ANDRE$500
JOHN HOPKINS UNIVERSITY$500
COLORADO CHRISTIAN UNIVERSITY$500
BAYLOR UNIVERSITY FBO KINZI$500
SAN JACINTO COLLEGE FBO SUFJAN$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:

Dollar for dollar, your grants (FY22–24) land where the poverty rate runs at 16%, against an area that typically sits at 9%. 97% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%FBO JILLIAN BATES: $1k → 13%FBO ANITSEL SERRANO: $1k → 8%FBO AMELIE SATTERWHITE: $500 → 8%FBO KATHERINE LIMON: $2k → 10%FBO MARY BATTY: $2k → 10%UNIV OF TEXAS AT AUSTIN: $3k → 10%FBO ELLA HESTAND: $500 → 11%FBO DEVON BAXA: $550 → 14%FBO MONSERRAT RIOS: $2k → 16%FBO ALLISON MCCLANAHAN: $500 → 16%UNIVERSITY OF HOUSTON: $2k → 16%SAM HOUSTON STATE UNIV: $1k → 20%FBO FINNEGAN MADDING: $1k → 22%TEXAS A&M UNIVERSITY: $4k → 22%STEPHEN F AUSTIN UNIV: $500 → 23%UNIVERSITY OF TULSA: $750 → 15%FBO REESE SCOTT: $875 → 14%DUKE UNIVERSITY: $1k → 11%JACKSON STATE UNIV: $500 → 23%PRINCETON UNIVERSITY: $1k → 11%FBO RAHUL VIJAYAN: $500 → 8%FBO KORRIGAN WRIGHT: $500 → 10%ALVIN COMMUNITY COLLEGE: $1k → 10%FBO GOLDA DARKON: $2k → 10%FBO VIVAYAK M NAIR: $550 → 14%FBO JACOB MATHEW: $1k → 16%FBO MADISON BROWN: $500 → 22%FBO EDEN HANELINE: $2k → 22%FBO ESMERALDO VELA: $875 → 10%FBO HAILEY CLINGAN: $2k → 10%FBO AYDEN GEISSEN: $1k → 16%FBO LINDSEY HANELINE: $2k → 22%FBO DAYANARA V ALVAREZ: $500 → 10%UNIV OF TEXAS AT AUSTIN: $2k → 10%FBO STUDENT ID 2361061: $1k → 16%FBO DENNIS M READ: $2k → 22%FBO MICAH YANG: $1k → 10%UNIVERSITY OF HOUSTON: $1k → 16%FBO CHRISTIAN PAUL: $1k → 22%FBO PRISHA VERMA: $1k → 10%FBO ISABELLA MONTALVO: $1k → 16%FBO MATEO CRAWFORD: $1k → 22%FBO DANIEL WU: $1k → 10%FBO ANNA ADEBOLA: $1k → 16%FBO NORMA AGUILAR: $1k → 22%FBO DREW PHILLIPS: $750 → 22%FBO REID MICKLE: $750 → 22%FBO CAMERON CATE: $750 → 22%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.

Which US states your grants reach

ME
PA
NJ
CA
CO
KY
MD
NC
DC
OK
MS
TX

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.

25%of every dollar goes to organizations you’ve funded before.
$25k · 4 repeat orgs$75k to everyone else

4 repeat relationships — 1 still active in FY2025, 3 since wound down; 11 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

4
58

Total granted

$25k
$52k

Still filing today

0%
5%

New vs renewed · share of each year

In FY2025, 3% of grant dollars renewed an existing relationship; $23k went to new ones.

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

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

’21’22’23’24’25
EducationPhilanthropyOther

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 TEXAS AT AUSTIN
    3× · 2021–2025 · $12k
  • TA
    TEXAS A&M UNIVERSITY
    2× · 2021–2022 · $6k
  • UO
    UNIVERSITY OF HOUSTON
    2× · 2021–2022 · $5k

Funded once

  • IG
    Individual grant recipient
    one grant, 2023 · $2k
  • IG
    Individual grant recipient
    one grant, 2023 · $2k
  • IG
    Individual grant recipient
    one grant, 2023 · $2k

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 73 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)
5/5
Grantees still filing
1/5
Grew since you first funded

Where your money sits — by cause, then by grantee

UNIVERSITY OF TEXAS AT AUSTIN — $11,550 · OtherUNIVERSITY OF TEXAS AT AUSTINTEXAS A&M UNIVERSITY — $6,300 · OtherTEXAS A&M UNIVERSITYUNIVERSITY OF TEXAS AT AUSTIN FBO BRE — $5,960 · OtherUNIVERSITY OF TEXAS AT AUSTIN FBO BREUNIVERSITY OF HOUSTON FBO DESTINY — $5,960 · OtherUNIVERSITY OF HOUSTON FBO DESTINYTEXAS A&M UNIVERSITY FBO HANNAH — $5,960 · OtherTEXAS A&M UNIVERSITY FBO HANNAHUNIVERSITY OF HOUSTON — $4,500 · Other+62 more — $56,650 · Other+62 moreThe Trustees of Princeton University — $1,000 · EducationDUKE UNIVERSITY — $1,000 · EducationThe University of Tulsa — $750 · EducationColorado Christian University — $500 · EducationALVIN COMMUNITY COLLEGE FOUNDATION — $500 · Philanthropy
Other$96,880Education$3,250Philanthropy$500

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

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetThe Trustees of Princeton University — $1,000 over 1y, 0.0% of budgetDUKE UNIVERSITY — $1,000 over 1y, 0.0% of budgetThe University of Tulsa — $750 over 1y, 0.0% of budgetColorado Christian University — $500 over 1y, 0.0% of budgetALVIN COMMUNITY COLLEGE FOUNDATION — $500 over 1y, 0.1% 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 The Trustees of Princeton University
  • Who funds DUKE UNIVERSITY

Government reliance of your grantees

Every dot is one organization Camp Mohawk Scholarship 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, a single department, or state — and drag the year to watch it move.

2025
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%8%15%22%30%share of the org’s income from governmentmedian 12%
  • The Trustees of Princeton University12% of income from government
  • The University of Tulsa2% of income from government
no gov moneyreceives it· size = income
0get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–30%
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 73 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 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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