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The Hotchkiss School at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

The Hotchkiss School

THE HOTCHKISS SCHOOL seeks to inspire a diverse range of students who are committed to the betterment of self and society, and to cultivate in them at the highest standards of excellence (imagination and intellect, openness and personal integrity, empathy and responsible citizenship) that they may discover and fulfill their potential as…

$14M
Granted FY2025still arriving
2
Grants FY2025still arriving
1
States reached
$122k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2024 to 2025.

Public Benefit$240kHousing & Shelter$20k
02FY2025 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 2 grants below total $132,000, the rows itemized in this filing. The $14,101,739 headline is the total grant expense on the return; the other $13,969,739 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2025

  • $10k–50k1 grant · $10k
  • $50k–250k1 grant · $122k
$122,000
Median grant
1
States reached
$924M
Total assets
Largest grants
RecipientAmount
TOWN OF SALISBURY$122,000
SALISBURY HOUSING COMMITTEE$10,000
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.

None of its grants could be placed against low income need for this view.

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

1 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. 1 of the 2 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)
1/1
Grantees still filing
0/1
Grew since first funded

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

25%50%75%100%grantee revenue →↑ funder's share of their budgetSALISBURY HOUSING COMMITTEE INC: $20,000 over 2y, 0.3% 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 SALISBURY HOUSING COMMITTEE INC ↗

How much its grantees rely on government

Each dot is one organization The Hotchkiss School funds: left to right is the share of its income from government, bottom to top the share from The Hotchkiss School. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%0%1%3%5%funder's share of their income ↑0%19%38%56%75%share of the org’s income from government →median 70%
  • Salisbury Housing Committee Inc: 70% of income from government
no gov moneyreceives it· size = income
0get no government money at all
1rely on government for over half their income
⤢ axis zoomed · 0–75%
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 2 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home