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· Private foundation

Lawrence and Ira Straus Charitable Tr

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$8k
Granted FY2024still arriving
12
Grants FY2024still arriving
8
States reached
$2k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2024.

Philanthropy$21kEducation$4kCivil Rights$4kInternational$3kPublic Safety & Disaster$1kHealth$100
02FY2024 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

$1,000
Median grant
8
States reached
$236k
Total assets
Largest grants
RecipientAmount
AHA Foundation$1,500
Academic Freedom Alliance$1,000
Free Hearts Free Minds$1,000
FIRE$1,000
National Progress Alliance$1,000
Streit Council$1,000
Center for WarPeace Studies$600
ACTA$250
1Day Sooner$100
caitlyn jenner fdn$100
LEF$100
VOC$100
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 (FY24–24, $1k) land where the poverty rate runs at 8%, against an area that typically sits at 9%. 9% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 9%caitlyn jenner fdn: $100 → 10%National Progress Alliance: $1k → 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

NY
WY
PA
NJ
CA
VA
MD
NC
DC
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

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 14 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)
6/7
Grantees still filing
3/7
Grew since first funded

Where the money sits, by cause and then by grantee

ANGLO-AMERICAN CHARITABLE FOUNDATION LTD: $19,500 · PhilanthropyANGLO-AMERICAN CHARITABLE FOUNDATION LTDAcademic Freedom Alliance: $1,000 · PhilanthropyCENTER FOR WAR-PEACE STUDIES INC: $2,600 · OtherCENTER FOR WAR-PEACE STUDIE…Streit Council for a Union of Democ: $2,500 · OtherStreit Council for a Union …Streit Council: $1,000 · OtherStreit CouncilFIRE: $1,000 · OtherFIRE+4 more: $550 · Other+4 moreAHA FOUNDATION INC: $1,500 · InternationalNATIONAL PROGRESS ALLIANCE: $1,000 · Human ServicesCAITLYN JENNER FOUNDATION INC: $100 · Human ServicesFree Hearts Free Minds: $1,000 · Health
Philanthropy$20,500Other$7,650International$1,500Human Services$1,100Health$1,000

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

25%50%75%100%$1.0Mgrantee revenue →↑ funder's share of their budgetANGLO-AMERICAN CHARITABLE FOUNDATION LTD: $19,500 over 2y, 0.2% of budgetAHA FOUNDATION INC: $1,500 over 1y, 0.1% of budgetAcademic Freedom Alliance: $1,000 over 1y, 0.6% of budgetFree Hearts Free Minds: $1,000 over 1y, 0.6% of budgetNATIONAL PROGRESS ALLIANCE: $1,000 over 1y, 0.1% of budget1DAY SOONER INC: $100 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.

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 tightly interlocked group: most of these funders back each other's grantees too.

National Philanthropic TrustPA8.3× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: National Philanthropic Trust · Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund

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 Lawrence and Ira Straus Charitable Tr funds: left to right is the share of its income from government, bottom to top the share from Lawrence and Ira Straus Charitable Tr. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 20%0%1%3%5%funder's share of their income ↑0%13%25%38%50%share of the org’s income from government →median 42%
  • Aha Foundation Inc: 42% of income from government
no gov moneyreceives it· size = income
2get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–50%
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 14 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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