· Private foundation
Eberhard Charles Neysa and Terril Charitable
Its FY2025 filing reports that it accepted unsolicited grant applications.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k2 grants · $16k
- $10k–50k16 grants · $336k
- $50k–250k11 grants · $550k
| Recipient | Amount |
|---|---|
| GRACEPOINT CHURCH OF PEABODY | $50,000 |
| PEABODY SENIOR CITIZENS CENTER | $50,000 |
| PRAIRIE LAWN CEMETARY ASSOCIATION | $50,000 |
| FIRST BAPTIST CHURCH | $50,000 |
| HARVEY COUNTY FIRE DISTRICT #1 | $50,000 |
| SUNFLOWER THEATRE FOUNDATION | $50,000 |
| AMERICAN LEGION AUXILIARY POST 95 | $50,000 |
| HESSTON RESCUE UNIT | $50,000 |
| MARION COUNTY FIRE DISTRICT #4 | $50,000 |
| ST PAUL LUTHERAN CHURCH | $50,000 |
| NEWTON PUBLIC LIBRARY | $50,000 |
| MARION SENIOR CENTER | $49,948 |
| THE HUB YOUTH CENTER | $43,700 |
| MARION KIWANIS CLUB | $30,940 |
| HILLSBORO GOLDEN YEARS CLUB | $27,168 |
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, $44k) land where the poverty rate runs at 10%, against an area that typically sits at 12%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-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.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
Provide services & meals to the elderly.
Public charity
Providing food to the needy
To regenerate kansas grazing land resources through cooperative management, economics, ecology, production, education and technical assistance programs.
Restoration and operation of historic building for use by the community.
Conduct the annual county fair
Cemetery
Preserve history
Promote history of marion iowa
Preserve cass county history
Preserve the history of shelby county al
For reference, the grantee most central to the portfolio’s shape is Newton Ministerial Alliance Inc and the most unlike its peers is Sunflower Theatre Foundation Inc. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 38 years old; the field is 31. You back the established end — and your money leans older still.
The field is 16% startups (under 5 years old) — 5% of your grantees by number, and just 2% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 8% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
9 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. 9 of the 29 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 PRAIRIE LAWN CEMETERY ASSOCIATION ↗
- Who funds Sunflower Theatre Foundation Inc ↗
- Who funds FLORENCE HISTORICAL SOCIETY INCORPORATED ↗
- Who funds NEWTON MEALS ON WHEELS INC ↗
- Who funds MARION ADVANCEMENT CAMPAIGN INC ↗
- Who funds HILLSBORO COMMUNITY CHILDCARE CENTER INC ↗
- Who funds NEWTON MINISTERIAL ALLIANCE INC ↗
- Who funds HESSTON AREA SENIORS INC ↗
- Who funds KANSAS WILDSCAPE FOUNDATION ↗
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: Central Kansas Community Foundation · 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 Eberhard Charles Neysa and Terril Charitable 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.
Warm introductions · Powered by PlinthPlus
How do I get to Eberhard Charles Neysa and Terril Charitable?
Find your warmest path to Eberhard Charles Neysa and Terril Charitable 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.