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· Private foundation

Lanham Foundation

Its FY2025 filing reports that it accepted unsolicited grant applications.

$185k
Granted FY2025still arriving
61
Grants FY2025still arriving
6
States reached
$4k
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, FY2019 to 2025.

Education$1.2M
02FY2025 · 61 grants

Where the money goes

Grants by size, and the largest recipients.

$3,000
Median grant
6
States reached
$1.3M
Total assets
Largest grants
RecipientAmount
MARIANA OCHOA CO CENTRAL$4,000
ANAHI OSEGUERA CO EASTERN$4,000
COBY RICHES CO UNIVERSITY OF$4,000
XITLALI ESPINOSA CO GONZAGA$4,000
KAYDEN MEDINA CO UNIVERSITY OF$4,000
ELISE ALMEIDA CO WESTERN WASHINGTON$4,000
JULISSA MAGANA CO UNIVERSITY$4,000
EMELY SUAREZ CO GONZAGA$4,000
JORDAN CASTRO CO UNIVERSITY$4,000
NAYELI WILLIAMS CO UNIVERSITY$4,000
TRAIL HEYL CO UNIVERSITY$4,000
ERIC GUERERRO CO WASHINGTON$4,000
MONIQUE ROBLES CO UNIVERSITY OF$4,000
ZINNA SOL ERICKSON CO NEW YORK$4,000
SOPHIA SANCHEZ CO EASTERN$4,000
02The need
03

Where the grant dollars land

Across the US and around the world.

Which US states its grants reach

WA
ID
MT
MN
NY
OR
OH
CA
UT
CO
AZ
DC
HI
How this is measured
Grants placed by each grantee’s location, read from the 990 filings.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

64%of every dollar goes to organizations it has funded before.
$753k · 69 repeat orgs$431k to everyone else

69 repeat relationships: 26 still active in FY2025, 43 since wound down; 35 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

69
104

Total granted

$753k
$332k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 46% of grant dollars renewed an existing relationship; $99k went to new ones.

50%100%’19’20’21’22’23’24’25
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • LS
    LOUIS SANCHEZ CO CENTRAL WASHINGTON
    4× · 2020–2023 · $24k
  • KG
    KESIA GUERRA CO WASHINGTON
    4× · 2021–2024 · $22k
  • JG
    JOSE GUITERREZ CO UNIVERSITY
    4× · 2020–2023 · $21k

Funded once

  • JD
    JESS DONOGHUE CO CENTRAL
    one grant, 2022 · $10k
  • MW
    MICHAEL WHITEFOOT CO CENTRAL
    one grant, 2023 · $9k
  • NS
    NICHOLI SANCHEZ CO WENATCHEE
    one grant, 2023 · $8k
How this is measured

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

04Its field
04the grantee network

0 grantees tracked through their own filings, 2019–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2019 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 208 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

+200 more: $1,175,500 · Other+200 more
Other$1,175,500

Showing the 200 largest grantees by grant value.

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 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 208 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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