· Private foundation
P M Moore Foundation
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k5 grants · $28k
- $10k–50k8 grants · $137k
- $50k–250k2 grants · $125k
| Recipient | Amount |
|---|---|
| BEAVER AREA MEMORIAL LIBRARY | $75,000 |
| BF JONES MEMORIAL LIBRARY | $50,000 |
| HERITAGE VALLEY HEALTH FOUNDATION | $25,000 |
| MUSKINGUM UNIVERSITY | $25,000 |
| AMERICAN RED CROSS | $20,000 |
| SALVATION ARMY | $20,000 |
| HOPEWELL SCHOOL HOUSE | $17,200 |
| Individual grant recipient | $10,000 |
| LUTHERAN SERVICES SOCIETY | $10,000 |
| BEAVER COUNTY SPECIAL UNIT | $10,000 |
| GIRL SCOUTS OF WESTERN PA | $7,500 |
| CANCER AND HEART ASSOCIATION | $6,000 |
| M A LAUGHLIN CHILD CENTER | $5,000 |
| FRIENDS OF CHIPPEWA BRANCH LIBRARY | $5,000 |
| BEAVER COUNTY HUMANE SOCIETY | $4,000 |
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.
Your human-services grants (FY25–25, $20k) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
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.
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.
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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +59% since the first grant, against +20% for the ones you funded once.
15 repeat relationships — 9 still active in FY2025, 6 since wound down; 6 grantees were first funded in FY2025 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 76% of grant dollars renewed an existing relationship; $71k went to new ones.
Where new relationships form · theme of each grantee’s first grant
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
- BABeaver Area Memorial Library6× · 2020–2025 · $450k · revenue +59%
- BJBF Jones Memorial Library6× · 2020–2025 · $300k · revenue +157%
CHAUTAUQUA FOUNDATION INC2× · 2022–2023 · $50k · revenue +143%
Funded once
- BFBEAVER FALLS CARNEGIE FREE LIBRARYone grant, 2022 · $25k
- KTKNIGHTS TEMPLAR OF THE USA BEAVER VALLEY COMMANDERY #84one grant, 2021 · $15k
- VTVanport Township Volunteer Fire Departmentone grant, 2020 · $5k · revenue +20%
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
7 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 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 7 of the 25 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.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
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 Beaver Area Memorial Library ↗
- Who funds BF Jones Memorial Library ↗
- Who funds MUSKINGUM UNIVERSITY ↗
- Who funds CHAUTAUQUA FOUNDATION INC ↗
- Who funds American National Red Cross & Its Constituent Chapters and Branches ↗
- Who funds BEAVER COUNTY HUMANE SOCIETY ↗
- Who funds Vanport Township Volunteer Fire Department ↗
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Donor Advised Charitable Giving Inc · Amazonsmile Foundation
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization P M Moore 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 or a single department — and drag the year to watch it move.
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.