· Private foundation
Kitzmiller-Bales Trust
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 FY2017–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k2 grants · $10k
- $10k–50k3 grants · $80k
- $50k–250k5 grants · $786k
| Recipient | Amount |
|---|---|
| WRAY REHABILITATION AND ACTIVITIES CENTER | $244,678 |
| FIELD OF DREAMS 20 | $235,000 |
| WRAY COMMUNITY DISTRICT HOSPITAL | $140,593 |
| Individual grant recipient | $106,475 |
| WRAY COMMUNITY CHILD CARE CENTER | $59,095 |
| VFW POST 4671 | $41,000 |
| Individual grant recipient | $25,000 |
| Individual grant recipient | $14,000 |
| WRAY SCHOOL DISTRICT RD-2 | $7,339 |
| BABY BEAR HUGS | $2,500 |
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 (FY24–25, $7k) land where the poverty rate runs at 13%, against an area that typically sits at 14%. 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.
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 +110% since the first grant, against +77% for the ones you funded once.
12 repeat relationships — 7 still active in FY2025, 5 since wound down; 3 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, 91% of grant dollars renewed an existing relationship; $80k 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
- WRWray Rehabilitation & Activities Center9× · 2017–2025 · $943k · revenue +34% · 28% of their budget
- FOFIELD OF DREAMS 203× · 2023–2025 · $565k · revenue +116% · 53% of their budget
- WCWRAY COMMUNITY CHILD CARE CENTER8× · 2018–2025 · $404k · revenue +110%
Funded once
- CCCLIFF CULTURAL CENTERone grant, 2017 · $110k
- HOHOSPICE OF THE PLAINS INCgraduatedone grant, 2022 · $109k · revenue +51%
- WVWAUNETA VOLUNTEER FIRE DEPARTMENTone grant, 2018 · $77k
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 23 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 Wray Rehabilitation & Activities Center ↗
- Who funds FIELD OF DREAMS 20 ↗
- Who funds WRAY COMMUNITY CHILD CARE CENTER ↗
- Who funds HOSPICE OF THE PLAINS INC ↗
- Who funds WRAY VOLUNTEER FIRE & RESCUE INC WRAY VOLUNTEER FIRE DEPARTMENT ↗
- Who funds WRAY AREA FOUNDATION INC ↗
- Who funds Regional Home Visitation Program dba Baby Bear Hugs ↗
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: William H and Velma C Gerber Trust · Kenneth and Ethel Powell Trust · El Pomar Foundation · The Clayton and Billie Poenisch Foundation · The Colorado Health 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 Kitzmiller-Bales Trust 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 Kitzmiller-Bales Trust?
Find your warmest path to Kitzmiller-Bales Trust 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.