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· Private foundation

Blakemore Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$691k
Granted FY2024still arriving
25
Grants FY2024still arriving
11
States reached
$62k
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, FY2020 to 2024.

Education$3.1MArts & Culture$369kInternational$15k
02FY2024 · 25 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k1 grant · $10k
  • $10k–50k23 grants · $620k
  • $50k–250k1 grant · $62k
$26,954
Median grant
11
States reached
$9.0M
Total assets
Largest grants
RecipientAmount
Individual grant recipient$61,630
Individual grant recipient$39,360
Individual grant recipient$36,595
Individual grant recipient$36,595
Individual grant recipient$36,595
SEATTLE ART MUSEUM$35,028
Individual grant recipient$33,340
Individual grant recipient$33,340
SEATTLE ART MUSEUM$30,000
Individual grant recipient$29,840
Individual grant recipient$28,599
Individual grant recipient$27,282
Individual grant recipient$26,954
Individual grant recipient$24,550
Individual grant recipient$24,454
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 (FY20–24) land where the poverty rate runs at 12%, against an area that typically sits at 9%. 69% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%BRIDGET HARDING: $31k → 11%COURTNEY WITTEKIND: $45k → 8%MCKENNA STRICKER: $30k → 9%SAMUEL PATWELL: $27k → 6%CONNOR WILSON: $34k → 11%CLAIRE ELLIOT: $33k → 22%SINA SALESSI: $27k → 10%QINYI KELLY FAN: $29k → 11%DYLAN GOLDFINE-MIDDLETON: $31k → 12%CASIMIRA RODRIGUEZ: $36k → 14%ALEX HUTCHINS: $38k → 18%JASMINE NELSON: $27k → 13%ANDREW HARDY: $28k → 11%NICHOLAS CONSTANTINO: $33k → 13%MACKENZIE GILL: $33k → 15%ELIZABETH MARSHALL: $29k → 13%SPENCER LEE-LENFIELD: $29k → 14%MACKENZIE GILL: $36k → 9%JONATHAN FORMELLA: $31k → 10%NATALIE BELEW: $33k → 10%HANA LORD: $33k → 8%CHRISTOPHER TAYLOR: $36k → 17%HEATHER DAVIS: $39k → 8%NAN NOURN: $33k → 14%SEATTLE ART MUSEUM: $50k → 9%POLLY WOODBURY: $46k → 9%MAIA MOORE: $30k → 7%NICHOLAS LEUNG: $52k → 11%KEVIN KIND: $30k → 7%APRIL ZHU: $32k → 6%ALEXIS RANGELL-ONWUEGBUZIA: $29k → 10%ALEX HUTCHINS: $30k → 18%CINDY XUE: $45k → 14%CHRISTOPHER TAYLOR: $33k → 17%SEATTLE ART MUSEUM: $50k → 9%SAMUEL LEITER: $33k → 14%JANINE SUN: $34k → 14%LUCY BEST: $35k → 20%HANA LORD: $36k → 14%SEATTLE ART MUSEUM: $39k → 9%CAMERON WHITE: $36k → 14%DANY MATAR: $32k → 6%SEATTLE ART MUSEUM: $35k → 9%JANINE SUN: $28k → 14%MATTHEW SILBERMAN: $50k → 14%SEATTLE ART MUSEUM: $35k → 9%SEATTLE ART MUSEUM: $30k → 9%DYLAN PLUNG: $37k → 9%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.

Which US states its grants reach

WA
MT
MN
IL
WI
MI
NY
MA
IA
OH
PA
NJ
CA
CO
MO
VA
MD
AZ
KS
TN
NC
DC
LA
GA
TX
FL
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.
04

Where the work is directed

The same grants placed two ways: where each recipient sits, and where its stated purpose sends the money.

About 77% of Blakemore Foundation’s grant dollars are earmarked for a different county than the recipient’s own address. By recipient address, 12% of the giving stays in WA; by stated purpose, 2%.

Blakemore Foundationlessmore of its giving
Placed by recipient address · 90% directed abroad (not shown)
How this is measured
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the funder’s own 990 grant descriptions.
03Its grantees
repeat funding

Who it funds again

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

75%of every dollar goes to organizations it has funded before.
$2.6M · 46 repeat orgs$884k to everyone else

Grantees it renews have grown median revenue -8% since the first grant, against -18% for those funded once.

46 repeat relationships: 10 still active in FY2024, 36 since wound down; 14 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

46
19

Total granted

$2.6M
$445k

Median revenue growth · since first grant

-8%
-18%

Still filing today

2%
16%

New vs renewed · share of each year

In FY2024, 36% of grant dollars renewed an existing relationship; $439k went to new ones.

50%100%’20’21’22’23’24
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

  • SA
    SEATTLE ART MUSEUM
    5× · 2020–2024 · $274k · revenue -8%
  • IG
    Individual grant recipient
    2× · 2021–2022 · $69k
  • IG
    Individual grant recipient
    2× · 2021–2022 · $69k

Funded once

  • IG
    Individual grant recipient
    one grant, 2020 · $39k
  • IG
    Individual grant recipient
    one grant, 2020 · $37k
  • IG
    Individual grant recipient
    one grant, 2020 · $36k
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
05the 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 79 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
1/4
Grew since first funded

Where the money sits, by cause and then by grantee

+75 more: $3,171,977 · Other+75 moreSEATTLE ART MUSEUM: $274,199 · Arts & CultureSEATTLE AR…CLEVELAND MUSEUM OF ART: $20,000 · Arts & CultureCLEVELAND …DENVER ART MUSEUM: $20,000 · Arts & CultureDENVER ART…+1 more: $10,000 · Arts & Culture
Other$3,171,977Arts & Culture$324,199

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

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetSEATTLE ART MUSEUM: $274,199 over 5y, 0.2% of budgetCLEVELAND MUSEUM OF ART: $20,000 over 1y, 0.0% of budgetDENVER ART MUSEUM: $20,000 over 1y, 0.0% of budgetPEABODY ESSEX MUSEUM INC: $10,000 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 SEATTLE ART MUSEUM ↗

How much its grantees rely on government

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

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →median 2%
  • Peabody Essex Museum Inc: 2% of income from government
no gov moneyreceives it· size = income
0get no government money at all
2report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–5%
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.
05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Blakemore Foundation?

Find your warmest path to Blakemore Foundation 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 79 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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