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· Public charity

The Cooper Health System - A New Jersey Non-Profit Corporation Group

See schedule ocooper health system is an integrated health care delivery system serving the southern new jersey region.

$103k
Granted FY2017
8
Grants FY2017
2
States reached
$30k
Largest
01What it funds
01FY2017 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k3 grants · $20k
  • $10k–50k5 grants · $83k
$10,000
Median grant
2
States reached
$121M
Total assets
Largest grants
RecipientAmount
Jewish Federation of Southern Jersey$30,000
Susan G Komen Breast Cancer Foundation$17,500
Praise is the Cure (Iheart Media)$15,000
Living Beyond Breast Cancer$10,000
CROHN'S & COLITIS FOUNDATION$10,000
Head of Schuylkill Regatta$8,000
CAMDEN COUNTY PARKS DEPT$6,000
SUMMIT MEDICAL GROUP FOUNDATION$6,000
02The need
02

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 (FY17–17) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 60% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%Praise is the Cure (Iheart Media): $15k → 7%Head of Schuylkill Regatta: $8k → 22%SUMMIT MEDICAL GROUP FOUNDATION: $6k → 10%Jewish Federation of Southern Jersey: $30k → 12%CROHN'S & COLITIS FOUNDATION: $10k → 7%Susan G Komen Breast Cancer Foundation: $18k → 22%CAMDEN COUNTY PARKS DEPT: $6k → 12%Living Beyond Breast Cancer: $10k → 7%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 field
03the grantee network

6 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. 6 of the 8 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.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since first funded

Where the money sits, by cause and then by grantee

Praise Is The Cure Inc: $15,000 · HealthPraise Is The Cure IncCROHN'S & COLITIS FOUNDATION INC: $10,000 · HealthCROHN'S & COLITIS FOUNDATION INCLIVING BEYOND BREAST CANCER: $10,000 · HealthLIVING BEYOND BREAST CANCERThe Summit Medical Group Foundation Inc: $6,000 · HealthThe Summit Medical Group Foundation IncJEWISH FEDERATION OF SOUTHERN NEW JERSEY: $30,000 · PhilanthropyJEWISH FEDERATION OF SOUTHERN NEW…SUSAN G KOMEN PHILADELPHIA: $17,500 · OtherSUSAN G KOMEN PHILADELPHI…CAMDEN COUNTY PARKS DEPT: $6,000 · OtherCAMDEN COUNTY PARKS DEPTTHE THOMAS EAKINS HEAD OF THE SCHUYLKILL REGATTA: $8,000 · Recreation & Sports
Health$41,000Philanthropy$30,000Other$23,500Recreation & Sports$8,000

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

25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetJEWISH FEDERATION OF SOUTHERN NEW JERSEY: $30,000 over 1y, 0.1% of budgetPraise Is The Cure Inc: $15,000 over 1y, 27% of budgetCROHN'S & COLITIS FOUNDATION INC: $10,000 over 1y, 0.0% of budgetLIVING BEYOND BREAST CANCER: $10,000 over 1y, 0.2% of budgetTHE THOMAS EAKINS HEAD OF THE SCHUYLKILL REGATTA: $8,000 over 1y, 1.8% of budgetThe Summit Medical Group Foundation Inc: $6,000 over 1y, 0.5% 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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

The Cooper Health System a New Jersey Non-Profit CorporationNJ15.8× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Cooper Health System a New Jersey Non-Profit Corporation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization The Cooper Health System - A New Jersey Non-Profit Corporation Group funds: left to right is the share of its income from government, bottom to top the share from The Cooper Health System - A New Jersey Non-Profit Corporation Group. Bigger dots raise more.

2023
’20’21’22’23’24
no gov · 10%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →median 1%
  • Jewish Federation of Southern New Jersey: 1% 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 · 0–10%
typical government reliance, FY20–24
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.

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 8 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 e-file return for fiscal year 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2017, the most recent year this funder made grants.

Source object · view filing

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