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Monette Robinson Foundation at a glance

· Private foundation

Monette Robinson Foundation

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.

$168k
Granted FY2025still arriving
7
Grants FY2025still arriving
5
States reached
$83k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

Health$556kEducation$503kReligion$20kEmployment$5k
02FY2025 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k3 grants · $11k
  • $10k–50k2 grants · $23k
  • $50k–250k2 grants · $133k
$10,000
Median grant
5
States reached
$1.2M
Total assets
Largest grants
RecipientAmount
THOMAS JEFFERSON UNIVERSITY HOSPITAL$83,334
LANKENAU MEDICAL CENTER FOUNDATION$50,000
BISHOP EUSTACE HIGH SCHOOL$13,457
ST PAUL OF THE CROSS CHURCH$10,000
STOCKTON UNIVERSITY$4,927
UNIVERSITY OF NEW HAMPSHIRE$3,486
LEUKEMIA AND LYMPHOMA SOCIETY$2,500
02The need
03

Does the money reach high-need areas?

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

show:

Dollar for dollar, its grants (FY20–25) land where the poverty rate runs at 17%, against an area that typically sits at 12%. 67% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%LANKENAU MEDICAL CENTER FOUNDATION: $50k → 6%ST ANDREW SCHOOL - (ARIEL DOMINGUEZ DAUGHTER): $5k → 10%UNIVERSITY OF PENNSYLVANIA HOSPITAL: $120k → 22%LEUKEMIA AND LYMPHOMA SOCIETY: $3k → 9%ST PAUL OF THE CROSS CHURCH: $10k → 11%PISTON FOUNDATION: $5k → 9%STOCKTON UNIVERSITY: $5k → 11%BISHOP EUSTACE HIGH SCHOOL: $13k → 12%JOHNS HOPKINS UNIVERSITY: $15k → 19%UNIVERSITY OF NEW HAMPSHIRE: $15k → 9%LANKENAU MEDICAL CENTER FOUNDATION: $50k → 6%ST ANDREW SCHOOL - (ARIEL DOMINGUEZ DAUGHTER): $5k → 10%UNIVERSITY OF PENNSYLVANIA: $120k → 22%ST PAUL OF THE CROSS CHURCH: $10k → 11%BISHOP EUSTACE HIGH SCHOOL: $10k → 12%JOHNS HOPKINS UNIVERSITY: $15k → 19%UNIVERSITY OF NEW HAMPSHIRE: $15k → 9%WEST CHESTER UNIVERSITY: $8k → 6%CARDINAL O'HARA HIGH SCHOOL: $10k → 10%UNIVERSITY OF PENNSYLVANIA HOSPITAL: $120k → 22%BISHOP EUSTACE HIGH SCHOOL: $8k → 12%JOHNS HOPKINS UNIVERSITY: $15k → 19%UNIVERSITY OF NEW HAMPSHIRE: $15k → 9%CARDINAL O'HARA HIGH SCHOOL: $10k → 10%UNIVERSITY OF PENNSYLVANIA: $120k → 22%BISHOP EUSTACE HIGH SCHOOL: $4k → 12%UNIVERSITY OF NEW HAMPSHIRE: $8k → 9%DELAWARE COUNTY COMMUNITY COLLEGE: $1k → 10%DREXEL UNIVERSITY: $15k → 22%RUTGERS UNIVERSITY: $8k → 12%UNIVERSITY OF NEW HAMPSHIRE: $3k → 9%DELAWARE COUNTY COMMUNITY COLLEGE: $890 → 10%DREEL UNIVERSITY: $15k → 22%LANKENAU HOSPITAL: $50k → 10%FR JUDGE HIGH SCHOOL-(BRIAN CLARK'S SON): $10k → 22%LANKENAU HOSPITAL: $50k → 10%FR JUDGE HIGH SCHOOL-(BRIAN CLARK'S SON): $10k → 22%LANKENAU HOSPITAL: $30k → 10%FR JUDGE HIGH SCHOOL-(BRIAN CLARK'S SON): $9k → 22%THOMAS JEFFERSON UNIVERSITY HOSPITAL: $83k → 22%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

87%of every dollar goes to organizations it has funded before.
$733k · 13 repeat orgs$111k to everyone else

Grantees it renews have grown median revenue +10% since the first grant, against +6% for those funded once.

13 repeat relationships: 4 still active in FY2025, 9 since wound down; 3 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

13
3

Total granted

$733k
$20k

Median revenue growth · since first grant

+10%
+6%

Still filing today

23%
33%

New vs renewed · share of each year

In FY2025, 46% of grant dollars renewed an existing relationship; $91k went to new ones.

50%100%’20’21’22’23’24’25
RenewedFirst-time

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

’20’21’22’23’24’25
EducationHealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • LM
    LANKENAU MEDICAL CENTER FOUNDATION
    2× · 2024–2025 · $100k · revenue +2%
  • JOHNS HOPKINS UNIVERSITY
    3× · 2022–2024 · $45k · revenue +26%
  • DU
    DREXEL UNIVERSITY
    2× · 2020–2021 · $30k · revenue +10%

Funded once

  • RU
    RUTGERS UNIVERSITY
    one grant, 2022 · $8k
  • WC
    WEST CHESTER UNIVERSITY
    one grant, 2023 · $8k
  • TP
    THE PISTON FOUNDATION INC
    one grant, 2023 · $5k · revenue +6%
How this is measured

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

04Its field
04the grantee network

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

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 7 of the 20 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF PENNSYLVANIA HOSPITAL: $240,000 · OtherUNIVERSITY OF PENNSYLVANIA HOSPITALLANKENAU HOSPITAL: $130,000 · OtherLANKENAU HOSPITALUNIVERSITY OF NEW HAMPSHIRE: $55,986 · OtherUNIVERSITY OF NEW HAMPSHIREBISHOP EUSTACE HIGH SCHOOL: $36,221 · OtherBISHOP EUSTACE HIGH SCHOOLFR JUDGE HIGH SCHOOL-(BRIAN CLARK'S SON): $29,342 · OtherST PAUL OF THE CROSS CHURCH: $20,000 · OtherCARDINAL O'HARA HIGH SCHOOL: $20,000 · Other+6 more: $46,835 · Other+6 moreTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $240,000 · EducationTRUSTEES OF THE UNIVERSITY OF PEN…JOHNS HOPKINS UNIVERSITY: $45,000 · EducationJOHNS HOPKINS UNIVERSITYDREXEL UNIVERSITY: $30,000 · EducationDREXEL UNIVERSITY+1 more: $5,000 · EducationLANKENAU MEDICAL CENTER FOUNDATION: $100,000 · HealthLANKENAU MEDICAL CE…THOMAS JEFFERSON UNIVERSITY HOSPITALS INC: $83,334 · HealthTHOMAS JEFFERSON UN…+1 more: $2,500 · Health
Other$578,384Education$320,000Health$185,834

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $240,000 over 2y, 0.0% of budgetLANKENAU MEDICAL CENTER FOUNDATION: $100,000 over 2y, 0.2% of budgetTHOMAS JEFFERSON UNIVERSITY HOSPITALS INC: $83,334 over 1y, 0.0% of budgetJOHNS HOPKINS UNIVERSITY: $45,000 over 3y, 0.0% of budgetDREXEL UNIVERSITY: $30,000 over 2y, 0.0% of budgetTHE PISTON FOUNDATION INC: $5,000 over 1y, 1.2% of budgetBLOOD CANCER UNITED INC: $2,500 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

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

  • Who funds TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA ↗
  • Who funds LANKENAU MEDICAL CENTER FOUNDATION ↗
  • Who funds THOMAS JEFFERSON UNIVERSITY HOSPITALS INC ↗
  • Who funds JOHNS HOPKINS UNIVERSITY ↗
  • Who funds DREXEL UNIVERSITY ↗
  • Who funds THE PISTON FOUNDATION INC ↗
  • Who funds BLOOD CANCER UNITED INC ↗

How much its grantees rely on government

Each dot is one organization Monette Robinson Foundation funds: left to right is the share of its income from government, bottom to top the share from Monette Robinson Foundation. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 10%0%1%3%5%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →median 11%
  • Johns Hopkins University: 11% of income from government
no gov moneyreceives it· size = income
1get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–20%
typical government reliance, FY20–25
How this is measured
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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.
05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Monette Robinson Foundation?

Find your warmest path to Monette Robinson 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 from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 20 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its 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.

Generated from the IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home