Skip to content
Cooper Levenson Foundation Inc at a glanceMostly funded, not a grantmaker: see who funds it →

· Private foundation

Cooper Levenson Foundation Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$67k
Granted FY2025still arriving
17
Grants FY2025still arriving
5
States reached
$8k
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, FY2017 to 2025.

Education$672k
02FY2025 · 17 grants

Where the money goes

Grants by size, and the largest recipients.

$3,750
Median grant
5
States reached
$143k
Total assets
Largest grants
RecipientAmount
Stevens Institute of Technology on$8,000
Rutgers University on behalf of Abi$6,000
Drexel University on behalf of Tasf$5,120
University of Michigan on behalf of$5,000
Lehigh University on behalf of Anis$4,200
Villanova University on behalf of P$4,200
Rutgers University on behalf of Nad$3,750
Rutgers University on behalf of Far$3,750
Penn State on behalf of Tiffany Cab$3,750
University of Virginia on behalf of$3,750
Rutgers University on behalf of Ami$3,600
Princeton University on behalf of A$3,500
Rutgers University on behalf of Uye$3,000
Amherst College on behalf of Eliana$2,870
Stockton University on behalf of Ka$2,567
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 (FY17–25) land where the poverty rate runs at 12%, against an area that typically sits at 8%. 97% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%Villanova University on behalf of P: $8k → 10%Lehigh University on behalf of Anis: $4k → 11%Penn State on behalf of Tiffany Cab: $4k → 16%Drexel University on behalf of Naji: $10k → 22%Colgate University on Behalf of Jan: $6k → 11%University of Michigan on behalf of: $5k → 14%Yale University on behalf of Nafisi: $6k → 12%Rutgers University on Behalf of Zoe: $8k → 8%Princeton University on Behalf of R: $4k → 11%Stockton University on Behalf of Je: $4k → 11%Stevens Institute of Technology on: $8k → 14%Seton Hall University on Behalf of: $11k → 16%Villanova University on behalf of P: $4k → 10%Lehigh University on behalf of Anis: $4k → 11%Drexel university on Behalf of Naji: $10k → 22%Colgate University on Behalf of Jan: $6k → 11%Rutgers University on Behalf of Sal: $7k → 8%Stevens Institute of Technology on: $8k → 14%Seton Hall University on Behalf of: $9k → 16%Lehigh University on behalf of Anis: $4k → 11%Rutgers University on Behalf of Eth: $10k → 22%Colgate University on Behalf of Jan: $6k → 11%Rutgers University on Behalf of Sal: $7k → 8%Stevens Institute of Technology on: $8k → 14%Seton Hall University on Behalf of: $9k → 16%University of Pennsylvania on Behal: $9k → 22%Rutgers University on Behalf of Sal: $7k → 8%Stevens Institute of Technology on: $8k → 14%Seton Hall University on Behalf of: $5k → 16%Harvard University on behalf of Kha: $7k → 8%Drexel university on Behalf of Nasi: $7k → 22%George Washington University on Beh: $8k → 14%Rutgers University on Behalf of Uma: $7k → 8%Rutgers University on Behalf of Eth: $7k → 22%George Washington University on Beh: $8k → 14%Rutgers University on Behalf of Uma: $7k → 8%University of Pennsylvania on Behal: $6k → 22%Rutgers University on behalf of Eth: $7k → 8%Drexel University on behalf of Tasf: $5k → 22%Rutgers University on Behalf of Jor: $6k → 8%University of Pennsylvania on Behal: $5k → 22%Rutgers University on behalf of Abi: $6k → 8%University of Pennsylvania on Behal: $4k → 22%Rutgers University on Behalf of Zoe: $5k → 8%University of Pennsylvania on Behal: $4k → 22%Rutgers University on Behalf of Zoe: $5k → 8%Rutgers University on Behalf of Ahn: $5k → 8%Rutgers University on Behalf of Nea: $5k → 8%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.

Which US states its grants reach

MI
NY
MA
PA
NJ
CT
VA
DE
DC
FL
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.

92%of every dollar goes to organizations it has funded before.
$610k · 55 repeat orgs$55k to everyone else

55 repeat relationships: 13 still active in FY2025, 42 since wound down; 4 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

55
27

Total granted

$610k
$36k

Still filing today

0%
7%

New vs renewed · share of each year

In FY2025, 71% of grant dollars renewed an existing relationship; $19k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time
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

  • SH
    Seton Hall University on Behalf of
    4× · 2017–2020 · $35k
  • SI
    Stevens Institute of Technology on
    5× · 2018–2025 · $34k
  • UO
    University of Pennsylvania on Behal
    6× · 2017–2022 · $30k

Funded once

  • RU
    Rutgers University on Behalf of Jor
    one grant, 2017 · $6k
  • DU
    Drexel university on Behalf of Mack
    one grant, 2021 · $3k
  • RU
    Rutgers University on Behalf of Saa
    one grant, 2019 · $3k
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

3 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. 3 of the 87 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)
1
Early backer (in before they grew)
3/3
Grantees still filing
3/3
Grew since first funded

Where the money sits, by cause and then by grantee

Seton Hall University on Behalf of: $34,925 · OtherStevens Institute of Technology on: $33,500 · OtherUniversity of Pennsylvania on Behal: $29,900 · OtherRutgers University on Behalf of Sal: $28,400 · OtherRutgers University on Behalf of Eth: $26,000 · OtherColgate University on Behalf of Jan: $24,568 · OtherDrexel University on behalf of Naji: $23,338 · Other+78 more: $463,675 · Other+78 moreMassachusetts Institute of Technology: $6,615 · EducationATLANTIC CAPE COMMUNITY COLLEGE FOUNDATI: $750 · Education
Other$664,306Education$7,365

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetMassachusetts Institute of Technology: $6,615 over 4y, 0.0% of budgetCarnegie Mellon University: $750 over 1y, 0.0% of budgetATLANTIC CAPE COMMUNITY COLLEGE FOUNDATI: $750 over 1y, 0.1% 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 Massachusetts Institute of Technology ↗

How much its grantees rely on government

Each dot is one organization Cooper Levenson Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Cooper Levenson Foundation Inc. 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%10%20%30%40%share of the org’s income from government →median 26%
  • Massachusetts Institute of Technology: 26% 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 · 0–40%
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 Cooper Levenson Foundation Inc?

Find your warmest path to Cooper Levenson Foundation Inc 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 87 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

Play a game based on Cooper Levenson’s filings →

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