· Private foundation
L Edwin & Mary C Hoppes Foundation
Its FY2017 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| GOOD SAMARITAN OUTREACH | $6,655 |
| AMERICAN CANCER SOCIETY | $1,055 |
| SALVATION ARMY | $1,006 |
| RED CROSS | $1,006 |
| MOOREFIELD TOWNSHIP FIRE DEPARTMENT | $1,006 |
| CATHOLIC SOCIAL SERVICES | $1,006 |
| CLARK COUNTY HISTORICAL SOCIETY | $1,005 |
| AMERICAN HEART ASSOCIATION | $856 |
| CARE | $781 |
| THINK TV NETWORK | $781 |
| PROJECT WOMAN | $755 |
| HABITAT FOR HUMANITY | $755 |
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 (FY17–17, $2k) land where the poverty rate runs at 15%, against an area that typically sits at 11%. 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.
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 12 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 CATHOLIC SOCIAL SERVICES INC ↗
- Who funds CLARK COUNTY HISTORICAL SOCIETY ↗
- Who funds American Heart Association Inc ↗
- Who funds COOPERATIVE FOR ASSISTANCE AND RELIEF EVERYWHERE INC ↗
- Who funds Greater Dayton Public Television dba Think TV ↗
- Who funds HABITAT FOR HUMANITY INC ↗
- Who funds PROJECT WOMAN OF SPRINGFIELD & CLARK COUNTY ↗
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 set of overlaps that mostly run through you, not between each other.
Open a dossier: 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 L Edwin & Mary C Hoppes 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.