· Private foundation
Jb & Kathryn Sallas Charitable Foundation
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 94% of JB & KATHRYN SALLAS CHARITABLE FOUNDATION’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k38 grants · $123k
- $10k–50k6 grants · $99k
- $50k–250k1 grant · $74k
| Recipient | Amount |
|---|---|
| MOORE FRYE ECKLES SCHOLARSHIP | $74,397 |
| Individual grant recipient | $20,003 |
| PINEY WOOD LEO CLUB | $20,000 |
| Individual grant recipient | $18,800 |
| HOUSTON COUNTY SHARE INC | $17,750 |
| CENTRAL BAPTIST CHURCH | $12,000 |
| JOHN H WOOTERS CROCKETT PUBLIC LIBR | $10,500 |
| FLORENCE PUBLIC LIBRARY EULA HUNT B | $9,500 |
| ADOPT A GRANDPARENT | $9,000 |
| GRAPELAND PUBLIC LIBRARY | $8,000 |
| SCOTT WHITE HEALTHCARE FOUNDATION | $7,711 |
| LONESTAR MISSIONARY BAPTIST CHURCH | $7,500 |
| PEARSON CHAPEL BAPTIST CHURCH | $7,500 |
| TOYS FOR TOTS | $7,000 |
| FIRST UNITED METHODIST CHURCH | $6,000 |
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.
Dollar for dollar, your grants (FY17–25) land where the poverty rate runs at 19%, against an area that typically sits at 14%. 97% of your 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.
73 repeat relationships — 42 still active in FY2025, 31 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, 93% of grant dollars renewed an existing relationship; $22k 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
- PWPiney Woods Fine Arts Association9× · 2017–2025 · $54k · revenue +177%
- GCGLENWOOD CEMETERY INC6× · 2019–2025 · $18k · revenue +81%
- RTRitz Theatre Crockett Inc4× · 2022–2025 · $16k · revenue +32%
Funded once
- ANAmerican National Red Cross & Its Constituent Chapters and Branchesgraduatedone grant, 2017 · $12k · revenue +46%
- WBWELDON BAPTIST CHURCHCHone grant, 2017 · $9k
- FOFRIENDS OF HOUSTON COUNTY CHILD WELone grant, 2024 · $5k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
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.
To provide fire fighting services to the community surrounding frost tx.
To provide fire protection to ross, texas
Provide fire, medical and mutual aid services.
Volunteer fire department
Fire fighting and fire prevention for the City of Rogers TX
Volunteer fire department
To assist community in time of fire or e
To provide fire protection services in the rio vista area of johnson county, texas
Fighting fires in city and rural areas of blackjack, robertson county, texas, and providing emergency medical services
Fire, medical and other emergency first responders servicing rural brooks county in south texas
The flint-gresham volunteer fire department provides emergency services and fire suppression for the flint-grasham fire district.
Fire Fighting
For reference, the grantee most central to the portfolio’s shape is Austonio Volunteer Fire Department and the most unlike its peers is Piney Woods Fine Arts Association. 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 18 years old; the field is 19. You back the younger end — and your money leans older still.
The field is 20% startups (under 5 years old) — 13% of your grantees by number, and just 11% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 9% 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.
10 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. 10 of the 90 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.
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: Fidelity Investments Charitable Gift Fund
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 Jb & Kathryn Sallas Charitable 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.