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Plinth

· Private foundation

American Academy of Arts and Letters

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.

$1.0M
Granted FY2024still arriving
84
Grants FY2024still arriving
21
States reached
$100k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20202024.

Arts & Culture$4.7MEducation$350kEmployment$200kRecreation & Sports$2kOther$0
02FY2024 · 84 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k31 grants · $93k
  • $10k–50k48 grants · $644k
  • $50k–250k5 grants · $310k
$10,000
Median grant
21
States reached
$117M
Total assets
Largest grants
RecipientAmount
DARRYL PINCKNEY$100,000
PAPER MILL PLAYHOUSE$60,000
DIVERSIONARY THEATRE$50,000
CHARLES IVES SOCIETY$50,000
Individual grant recipient$50,000
Individual grant recipient$40,000
AMERICAN COMPOSERS ALLIANCE$26,975
Individual grant recipient$25,000
SERGE KOUSSEVITZKY MUSIC FOUNDATION IN THE LIBRARY OF CONGRESS$25,000
Individual grant recipient$20,000
Individual grant recipient$20,000
Individual grant recipient$20,000
Individual grant recipient$20,000
Individual grant recipient$20,000
SELGASCANO JOSE SELGAS AND LUCIA CANO$20,000
02The need
03

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Dollar for dollar, your grants (FY20–24) land where the poverty rate runs at 15%, against an area that typically sits at 12%. 71% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%CHARLES IVES SOCIETY: $50k → 8%NADER TEHRANI: $20k → 16%JAMES PRIMOSCH: $40k → 22%LAVA THOMAS: $22k → 10%DIVERSIONARY THEATRE: $50k → 11%SAVANNAH KNOOP: $20k → 17%ANDREW HOLLERAN: $20k → 9%LAURA VAN DEN BERG: $50k → 11%LAUREN GROFF: $20k → 19%GARTH GREENWELL: $20k → 15%DIANE SEUSS: $20k → 12%JESSICA JACKSON HUTCHINS: $25k → 12%SELGASCANO JOSE SELGAS AND LUCIA CANO: $20k → 15%STEPHEN DOBYNS: $25k → 7%ALEX KOTLOWITZ: $20k → 14%CARME PINOS: $20k → 11%WG CLARK: $20k → 8%MARY RUEFLE: $20k → 11%CHARLES IVES SOCIETY: $50k → 8%HUCK HODGE: $50k → 9%PAPER MILL PLAYHOUSE: $60k → 16%CHARLES IVES SOCIETY: $50k → 8%SERGE KOUSSEVITZKY MUSIC FOUNDATION IN THE LIBRARY OF CONGRESS: $25k → 14%MEGHAN O'GIEBLYN: $20k → 10%LAURA VAN DEN BERG: $50k → 9%CHARLES IVES SOCIETY: $50k → 8%LAURA ELISE SCHWENDINGER: $35k → 10%SALVATORE SCIBONA: $50k → 9%LAURA VAN DEN BERG: $50k → 9%SEAN SHEPHERD: $50k → 14%SALVATORE SCIBONA: $33k → 9%LAYLAH ALI: $22k → 14%BRUCE NORRIS: $25k → 17%WILLIAM VILLALONGO: $23k → 17%CHIE FUEKI: $26k → 14%SHINIQUE SMITH: $39k → 14%SALVATORE SCIBONA: $67k → 20%ASPEN MAYS: $20k → 20%DARRYL PINCKNEY: $100k → 17%RONA PONDRICK: $30k → 17%MIKE CLOUD: $27k → 17%MATT SAUNDERSMARIN GOODMAN GALLERY: $52k → 17%JANINE DI GIOVANNI: $25k → 17%AMERICAN COMPOSERS ALLIANCE: $27k → 17%MARTINE SYMSBRIDGET DONAHUE: $28k → 17%MATT CONNORS: $25k → 17%JUSTIN DELLO JOIO: $40k → 17%MASHA GESSEN: $25k → 17%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

Which US states your grants reach

AK
ME
VT
NH
WA
ID
MT
MN
IL
WI
MI
NY
MA
OR
IA
IN
OH
PA
NJ
CT
RI
CA
CO
MO
KY
VA
MD
AZ
NM
KS
TN
NC
SC
DC
OK
LA
GA
TX
FL

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

16%of every dollar goes to organizations you’ve funded before.
$833k · 42 repeat orgs$4.4M to everyone else

42 repeat relationships — 19 still active in FY2024, 23 since wound down; 65 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

42
321

Total granted

$833k
$3.5M

Still filing today

0%
1%

New vs renewed · share of each year

In FY2024, 8% of grant dollars renewed an existing relationship; $961k went to new ones.

50%100%’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’20’21’22’23’24
Arts & CultureRecreation & SportsOther

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • CI
    CHARLES IVES SOCIETY
    4× · 2020–2024 · $200k
  • LV
    LAURA VAN DEN BERG
    3× · 2021–2023 · $150k
  • IG
    Individual grant recipient
    3× · 2021–2023 · $150k

Funded once

  • IG
    Individual grant recipient
    one grant, 2020 · $100k
  • MS
    MATT SAUNDERSMARIN GOODMAN GALLERY
    one grant, 2022 · $52k
  • IG
    Individual grant recipient
    one grant, 2020 · $50k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field
04the grantee network

6 grantees tracked through their own filings, 2017–2025.

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 6 of the 428 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
4/6
Grantees still filing
3/6
Grew since you first funded

Where your money sits — by cause, then by grantee

CHARLES IVES SOCIETY — $200,000 · OtherLAURA VAN DEN BERG — $150,000 · OtherIndividual grant recipient — $149,999 · Other+195 more — $3,251,300 · Other+195 morePaper Mill Playhouse — $60,000 · Arts & CultureAMERICAN COMPOSERS ALLIANCE — $26,975 · Arts & Culture
Other$3,751,299Arts & Culture$86,975

Showing your 200 largest grantees by grant value.

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10Mgrantee revenue →↑ your share of their budgetPaper Mill Playhouse — $60,000 over 1y, 0.2% of budgetAMERICAN COMPOSERS ALLIANCE — $26,975 over 1y, 8.5% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

  • Who funds Paper Mill Playhouse
  • Who funds AMERICAN COMPOSERS ALLIANCE

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.

Amazonsmile FoundationWA2.7× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Amazonsmile Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization American Academy of Arts and Letters funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal, a single department, or state — and drag the year to watch it move.

2024
202122232425
no gov · 00%1%3%6%10%your share of their income ↑0%19%38%56%75%share of the org’s income from governmentmedian 9%
  • Paper Mill Playhouse9% 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 · 0–75%
typical government reliance, FY2025

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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to American Academy of Arts and Letters?

Find your warmest path to American Academy of Arts and Letters 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 428 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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