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· Private foundation

Joseph M Asselta Charitable Trust

Its FY2018 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 FY2018
11
Grants FY2018
2
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, FY2017 to 2018.

Health$4kEducation$3kArts & Culture$2kReligion$2kCrime & Legal$1kEnvironment$200Philanthropy$200
02FY2018 · 11 grants

Where the money goes

Grants by size, and the largest recipients.

$1,000
Median grant
2
States reached
$54k
Total assets
Largest grants
RecipientAmount
BROADWAY THEATRE LEAGUE$2,000
SUNY POLYTECHNIC INSTITUTE$1,500
ST JOHN THE EVANGELIST CHURCH$1,000
CABVI$1,000
ABRAHAM HOUSE$1,000
ST CLARE CATHOLIC CHURCH$1,000
AMERICAN HEART ASSOCIATION$250
MASONIC BROTHERHOOD FUND$200
CENTRAL NY CONSERVANCY$200
UTICA COLLEGE$100
MEMORIAL SLOAN KETTERING CANCER CENTER$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:

Dollar for dollar, its grants (FY17–18) land where the poverty rate runs at 15%, against an area that typically sits at 9%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%SUSAN G KOMEN UPSTATE NY: $3k → 14%ST JOHN THE EVANGELIST CHURCH: $1k → 16%MEMORIAL SLOAN KETTERING CANCER CENTER: $100 → 17%ST CLARE CATHOLIC CHURCH: $1k → 11%BROADWAY THEATRE LEAGUE: $2k → 16%MASONIC BROTHERHOOD FUND: $200 → 17%SUNY POLYTECHNIC INSTITUTE: $2k → 16%SUNY INSTITUTE OF TECH FDN: $2k → 16%ABRAHAM HOUSE: $1k → 16%AMERICAN HEART ASSOCIATION: $250 → 16%CABVI: $1k → 16%UTICA COLLEGE: $100 → 16%CENTRAL NY CONSERVANCY: $200 → 16%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
04the grantee network

4 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. 4 of the 13 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)
4/4
Grantees still filing
3/4
Grew since first funded

Where the money sits, by cause and then by grantee

SUSAN G KOMEN UPSTATE NY: $2,500 · OtherSUSAN G KOMEN UPSTATE NYBROADWAY THEATRE LEAGUE: $2,000 · OtherBROADWAY THEATRE LEAGUESUNY INSTITUTE OF TECH FDN: $1,500 · OtherSUNY INSTITUTE OF TECH FDNSUNY POLYTECHNIC INSTITUTE: $1,500 · OtherSUNY POLYTECHNIC INSTITUTEST JOHN THE EVANGELIST CHURCH: $1,000 · OtherST JOHN THE EVANGELIST CHURCHST CLARE CATHOLIC CHURCH: $1,000 · OtherST CLARE CATHOLIC CHURCHABRAHAM HOUSE: $1,000 · OtherABRAHAM HOUSE+3 more: $500 · OtherCENTRAL ASSOCIATION FOR THE BLIND INC: $1,000 · HealthCENTRAL ASS…American Heart Association Inc: $250 · HealthAmerican He…UTICA UNIVERSITY: $100 · Education
Other$11,000Health$1,250Education$100

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 budgetABRAHAM HOUSE: $1,000 over 1y, 0.1% of budgetCENTRAL ASSOCIATION FOR THE BLIND INC: $1,000 over 1y, 0.0% of budgetAmerican Heart Association Inc: $250 over 1y, 0.0% of budgetUTICA UNIVERSITY: $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.

  • Who funds ABRAHAM HOUSE ↗
  • Who funds CENTRAL ASSOCIATION FOR THE BLIND INC ↗
  • Who funds American Heart Association Inc ↗
  • Who funds UTICA UNIVERSITY ↗

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 Joseph M Asselta Charitable Trust funds: left to right is the share of its income from government, bottom to top the share from Joseph M Asselta Charitable Trust. 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%25%50%75%100%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Joseph M Asselta Charitable Trust?

    Find your warmest path to Joseph M Asselta Charitable Trust 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 13 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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