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· Private foundation

The Kieser Evans Charitable Foundation Trust

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$50k
Granted FY2025still arriving
12
Grants FY2025still arriving
5
States reached
$10k
Largest
01What it funds
01FY2025 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k11 grants · $40k
  • $10k–50k1 grant · $10k
$5,000
Median grant
5
States reached
$2.8M
Total assets
Largest grants
RecipientAmount
THIRTEENWNET$10,000
TOURETTE ASSOCIATION$7,425
PEDONIC LAND TRUST$5,274
HOPI RELIEF$5,208
NATIONAL AUDUBON SOCIETY$5,163
MEMORIAL SLOAN KETTERING$5,000
CITY HARVEST$5,000
SMITHSONIAN INSTITUTE$3,500
ALZHEIMERS ASSOCIATION$1,046
NORTHWELL FOUNDATION$1,000
THE DOEORG FUND$530
Individual grant recipient$515
02The need
02

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 (FY25–25) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 87% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%HOPI RELIEF: $5k → 11%NORTHWELL FOUNDATION: $1k → 6%PEDONIC LAND TRUST: $5k → 7%TOURETTE ASSOCIATION: $7k → 13%NATIONAL AUDUBON SOCIETY: $5k → 17%CITY HARVEST: $5k → 20%SMITHSONIAN INSTITUTE: $4k → 14%CONNECTICUT PUBLIC RADIO: $515 → 11%ALZHEIMERS ASSOCIATION: $1k → 14%MEMORIAL SLOAN KETTERING: $5k → 17%THIRTEENWNET: $10k → 17%THE DOEORG FUND: $530 → 17%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
03the grantee network

5 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. 5 of the 12 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)
5/5
Grantees still filing
1/5
Grew since first funded

Where the money sits, by cause and then by grantee

THIRTEENWNET: $10,000 · OtherTHIRTEENWNETTOURETTE ASSOCIATION: $7,425 · OtherTOURETTE ASSOCIATIONNATIONAL AUDUBON SOCIETY: $5,163 · OtherNATIONAL AUDUBON SOCIETYMEMORIAL SLOAN KETTERING: $5,000 · OtherMEMORIAL SLOAN KETTERINGNORTHWELL FOUNDATION: $1,000 · Other+2 more: $1,045 · OtherPECONIC LAND TRUST INC: $5,274 · EnvironmentPECONIC LAND…Hopi Relief: $5,208 · Public Safety & DisasterHopi ReliefCITY HARVEST INC: $5,000 · Food & NutritionCITY HARVES…SMITHSONIAN INSTITUTION: $3,500 · Arts & CultureALZHEIMER'S DISEASE & RELATED DISORDERS ASSOCIATION INC: $1,046 · Health
Other$29,633Environment$5,274Public Safety & Disaster$5,208Food & Nutrition$5,000Arts & Culture$3,500Health$1,046

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 budgetCITY HARVEST INC: $5,000 over 1y, 0.0% of budgetSMITHSONIAN INSTITUTION: $3,500 over 1y, 0.0% of budgetALZHEIMER'S DISEASE & RELATED DISORDERS ASSOCIATION INC: $1,046 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.

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 12 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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