Skip to content
Plinth

· 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 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.

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

Where the money goes

Your grants by size, and where they go.

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

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 12%, against an area that typically sits at 9%. 69% of your dollars go to grantees based in above-average-need neighborhoods. Most of your 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

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

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

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.

04

Where the work is directed

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

About 77% of Blakemore Foundation’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another. Read by recipient address, 12% of the giving stays in WA; read by stated purpose it is 2% — less of the work is directed home than the recipients' locations suggest.

Blakemore Foundationlessmore of its giving
Placed by recipient address · 90% directed abroad (not shown)

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 foundation’s own 990 grant descriptions.

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.

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

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of -8% since the first grant, against -18% for the ones you 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

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

  • 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

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

04Your field
05the grantee network

4 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. 4 of the 79 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)
0
Early backer (in before they grew)
4/4
Grantees still filing
1/4
Grew since you first funded

Where your money sits — by cause, 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 org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$100Mgrantee revenue →↑ your 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
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 SEATTLE ART MUSEUM

Government reliance of your grantees

Every dot is one organization Blakemore Foundation 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.

2025
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%1%3%4%5%share of the org’s income from governmentmedian 2%
  • Peabody Essex Museum Inc2% 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, 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 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 79 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

More from the funding graph