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· Private foundation

The Brian McCall Charitable Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$32k
Granted FY2024still arriving
1
Grants FY2024still arriving
1
States reached
$32k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Education$143kHealth$32kArts & Culture$28kPublic Benefit$21kHuman Services$2kFood & Nutrition$500International$250
02FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$32,000
Median grant
1
States reached
$352k
Total assets
Largest grants
RecipientAmount
THE TEXAS STATE UNIVERSITY SYSTEM FOUNDATION$32,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY20–20, $500) land where the poverty rate runs at 10%, against an area that typically sits at 10%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 10%PARTNERSHIPS FOR CHILDREN: $500 → 10%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
04

Where the work is directed

The same grants placed two ways: where each recipient sits, and where its stated purpose sends the money.

About 6% of The Brian McCall Charitable Foundation’s grant dollars are earmarked for a different county than the recipient’s own address. By recipient address, 91% of the giving stays in TX; by stated purpose, 94%.

The Brian McCall Charitable Foundationlessmore of its giving
Placed by recipient address
How this is measured
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the funder’s own 990 grant descriptions.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

81%of every dollar goes to organizations it has funded before.
$184k · 5 repeat orgs$43k to everyone else

5 repeat relationships: 1 still active in FY2024, 4 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

5
9

Total granted

$184k
$43k

Median revenue growth · since first grant

+26%
+39%

Still filing today

60%
44%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24
EducationArts & CultureHuman ServicesFood & NutritionInternationalOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • TS
    TEXAS STATE UNIVERSITY SYSTEM FOUNDATION
    7× · 2017–2024 · $108k · revenue +462%
  • ZS
    ZACHARY SCOTT THEATRE CENTER
    3× · 2017–2020 · $18k · revenue +8%
  • SMILE TRAIN INC
    2× · 2019–2020 · $7k · revenue +26%

Funded once

  • DC
    DELL CHILDREN'S FOUNDATIONgraduated
    one grant, 2022 · $13k · revenue +39%
  • LP
    LBJ PRESIDENTIAL LIBRARY
    one grant, 2023 · $10k
  • BL
    BIG LOVE CANCER CARE
    one grant, 2019 · $8k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
05the grantee network

7 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 7 of the 14 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

TEXAS STATE UNIVERSITY SYSTEM FOUNDATION: $108,000 · EducationTEXAS STATE UNIVERSITY SYSTEM FOUNDATIONSUL ROSS STATE UNIVERSITY: $30,000 · OtherSUL ROSS STATE UNIVERSITYLBJ FOUNDATION: $21,000 · OtherLBJ FOUNDATIONDELL CHILDREN'S FOUNDATION: $13,000 · OtherDELL CHILDREN'S FOUNDATIONLBJ PRESIDENTIAL LIBRARY: $10,000 · OtherLBJ PRESIDENTIAL LIBRARYBIG LOVE CANCER CARE: $7,500 · OtherBIG LOVE CANCER CARESMILE TRAIN INC: $6,500 · OtherSMILE TRAIN INCPREMIER CIRCLE SMILE TRAIN: $5,000 · OtherFRIENDS OF THE CHILDREN: $5,000 · Other+1 more: $1,000 · OtherZACHARY SCOTT THEATRE CENTER: $18,000 · Arts & CultureZACHARY S…PARTNERSHIPS FOR CHILDREN: $500 · Human ServicesCentral Texas Food Bank Inc: $500 · Food & NutritionAMERICAN COUNCIL OF YOUNG POLITICAL LEADERS: $250 · International
Education$108,000Other$99,000Arts & Culture$18,000Human Services$500Food & Nutrition$500International$250

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetTEXAS STATE UNIVERSITY SYSTEM FOUNDATION: $108,000 over 7y, 12% of budgetZACHARY SCOTT THEATRE CENTER: $18,000 over 3y, 0.1% of budgetDELL CHILDREN'S FOUNDATION: $13,000 over 1y, 0.1% of budgetSMILE TRAIN INC: $6,500 over 2y, 0.0% of budgetPARTNERSHIPS FOR CHILDREN: $500 over 1y, 0.0% of budgetCentral Texas Food Bank Inc: $500 over 1y, 0.0% of budgetAMERICAN COUNCIL OF YOUNG POLITICAL LEADERS: $250 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds TEXAS STATE UNIVERSITY SYSTEM FOUNDATION ↗
  • Who funds ZACHARY SCOTT THEATRE CENTER ↗
  • Who funds DELL CHILDREN'S FOUNDATION ↗
  • Who funds SMILE TRAIN INC ↗
  • Who funds PARTNERSHIPS FOR CHILDREN ↗
  • Who funds Central Texas Food Bank Inc ↗
  • Who funds AMERICAN COUNCIL OF YOUNG POLITICAL LEADERS ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA3.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization The Brian McCall Charitable Foundation funds: left to right is the share of its income from government, bottom to top the share from The Brian McCall Charitable Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%19%38%56%75%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–75%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 14 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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