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· Private foundation

Imagine Just Peace Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$8k
Granted FY2024still arriving
17
Grants FY2024still arriving
9
States reached
$2k
Largest
01What it funds
0176% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2024.

Human Services$3kReligion$3kInternational$1kCivil Rights$750Arts & Culture$185Other$0
02FY2024 · 17 grants

Where the money goes

Grants by size, and the largest recipients.

$295
Median grant
9
States reached
$244k
Total assets
Largest grants
RecipientAmount
ST JOHN THE EVANGELIST ROMAN CATH$1,500
EROH$1,000
YWCA$1,000
ASSOCIATION OF MARIAN HELPERS$600
Individual grant recipient$500
FISHER HOUSE$500
UNDERGROUND RAILROAD$500
MERCY SHIPS$400
FRANCISCAN MISSION$295
FAIRNESS WV INSTITUTE$250
Individual grant recipient$250
FELLOWSHIP OF CHRISTIAN ATHLETHES$200
NEWMAN CENTER$150
Individual grant recipient$150
Individual grant recipient$150
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:

Its human-services grants (FY23–23, $600) land where the poverty rate runs at 15%, against an area that typically sits at 11%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%HOUSE OF THE CARPENTER: $600 → 15%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

NY
MA
OH
PA
NJ
MO
WV
MD
TX
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
04the 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 19 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)
6/6
Grantees still filing
3/6
Grew since first funded

Where the money sits, by cause and then by grantee

YWCA: $2,000 · OtherYWCAST JOHN THE EVANGELIST ROMAN CATH: $1,500 · OtherST JOHN THE EVANGELIST ROMAN CATHEROH: $1,000 · OtherEROHMARIAN FATHERS OF THE IMMACULATE CONCEPTION OF THE BVM: $600 · OtherMARIAN FATHERS OF THE IMMACULATE CONCEPTION OF THE BVMUNDERGROUND RAILROAD: $500 · OtherUNDERGROUND RAILROADFISHER HOUSE FOUNDATION INC: $500 · OtherFISHER HOUSE FOUNDATION INCIndividual grant recipient: $500 · OtherIndividual grant recipientFRANCISCAN MISSION: $295 · Other+7 more: $1,085 · Other+7 moreMercy Ships International: $900 · InternationalMercy Ships Int…MEDECINS SANS FRONTIERES USA INC: $500 · InternationalMEDECINS SANS F…THE HOUSE OF THE CARPENTER INC: $600 · Human ServicesFAIRNESS WV INSTITUTE INC: $250 · Civil Rights
Other$7,980International$1,400Human Services$600Civil Rights$250

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 budgetMercy Ships International: $900 over 2y, 0.0% of budgetTHE HOUSE OF THE CARPENTER INC: $600 over 1y, 0.1% of budgetMEDECINS SANS FRONTIERES USA INC: $500 over 1y, 0.0% of budgetFISHER HOUSE FOUNDATION INC: $500 over 1y, 0.0% of budgetFAIRNESS WV INSTITUTE INC: $250 over 1y, 0.0% of budgetHOBOKEN HISTORICAL MUSEUM INC: $150 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 Mercy Ships International ↗
  • Who funds THE HOUSE OF THE CARPENTER INC ↗
  • Who funds MEDECINS SANS FRONTIERES USA INC ↗
  • Who funds FISHER HOUSE FOUNDATION INC ↗
  • Who funds FAIRNESS WV INSTITUTE INC ↗
  • Who funds HOBOKEN HISTORICAL MUSEUM INC ↗

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.

Amazonsmile FoundationWA3.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Amazonsmile Foundation

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 Imagine Just Peace Foundation funds: left to right is the share of its income from government, bottom to top the share from Imagine Just Peace Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%6%13%19%25%share of the org’s income from government →median 18%
  • Hoboken Historical Museum Inc: 18% of income from government
no gov moneyreceives it· size = income
0get no government money at all
1report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–25%
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.

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 19 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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