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· Private foundation

Zurfluh Hattie Scholarship Fund Tuw

Its FY2025 filing reports that it accepted unsolicited grant applications.

$18k
Granted FY2025still arriving
3
Grants FY2025still arriving
1
States reached
$8k
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, FY2018 to 2025.

Education$128k
02FY2025 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

$5,000
Median grant
1
States reached
$380k
Total assets
Largest grants
RecipientAmount
UNIV OF TEXASAUSTIN FBO JUSTYCE ALLEN$7,500
TEXAS STATE UNIVERSITY FBO TRENITI$5,000
SOUTHWESTERN UNIVERSITY FBO LYDIA ALLEN$5,000
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:

Dollar for dollar, its grants (FY25–25) land where the poverty rate runs at 8%, against an area that typically sits at 9%. 50% of its dollars go to grantees based in above-average-need neighborhoods. Its grants spread fairly evenly across need levels.

area typical 9%SOUTHWESTERN UNIVERSITY FBO LYDIA ALLEN: $5k → 6%TEXAS STATE UNIVERSITY FBO TRENITI: $5k → 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.
03Its grantees
repeat funding

Who it funds again

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

18%of every dollar goes to organizations it has funded before.
$22k · 5 repeat orgs$105k to everyone else

5 repeat relationships: 0 still active in FY2025, 5 since wound down; 3 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

5
37

Total granted

$22k
$88k

Median revenue growth · since first grant

-22%
+29%

Still filing today

60%
11%

New vs renewed · share of each year

In FY2025, 0% of grant dollars renewed an existing relationship; $18k went to new ones.

50%100%’18’19’20’21’22’23’24’25
RenewedFirst-time

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

’18’19’20’21’22’23’24’25
EducationPhilanthropyOther
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

  • UO
    UNIVERSITY OF MARY HARDIN-BAYLOR
    2× · 2018–2024 · $6k · revenue +11%
  • TU
    THE UNIVERSITY OF TEXAS AT AUSTIN
    2× · 2018–2019 · $5k
  • TA
    TEXAS A & M UNIVERSITY
    2× · 2018–2019 · $5k

Funded once

  • TA
    TEXAS A&M UNIV FBO GISSELLE CAMPOS
    one grant, 2023 · $5k
  • JG
    JACQUELINE GRIMALDO CO UNIVERSITY OF
    one grant, 2021 · $5k
  • TA
    TEXAS A&M UNIV FBO ELANAH SRIRAM
    one grant, 2023 · $5k
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
04the 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 45 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)
0
Early backer (in before they grew)
7/7
Grantees still filing
4/7
Grew since first funded

Where the money sits, by cause and then by grantee

UNIV OF TEXASAUSTIN FBO JUSTYCE ALLEN: $7,500 · OtherUNIV OF TEXASAUSTIN FBO JUSTYCE ALLENTHE UNIVERSITY OF TEXAS AT AUSTIN: $5,350 · OtherTEXAS A & M UNIVERSITY: $5,000 · OtherTEXAS A&M UNIV FBO GISSELLE CAMPOS: $5,000 · OtherTEXAS STATE UNIVERSITY FBO TRENITI: $5,000 · OtherSOUTHWESTERN UNIVERSITY FBO LYDIA ALLEN: $5,000 · OtherJACQUELINE GRIMALDO CO UNIVERSITY OF: $5,000 · OtherTEXAS A&M UNIV FBO ELANAH SRIRAM: $4,500 · OtherLANGSTON UNIV FBO ASHARAH THIBODEAUX: $4,500 · OtherCLEMSON UNIVERSITY: $4,000 · OtherANGEL SANCHEZ CO TEXAS A&M UNIVERSITY: $4,000 · Other+28 more: $55,350 · Other+28 moreUNIVERSITY OF MARY HARDIN-BAYLOR: $5,750 · EducationUNIVERSITY OF…BAYLOR UNIVERSITY: $4,000 · EducationBAYLOR UNIVER…MCLENNAN COMMUNITY COLLEGE FOUNDATION ATTN CHRISTOPHER QUALLS: $3,750 · EducationMCLENNAN COMM…UNIVERSITY OF THE SOUTH: $800 · EducationUNIVERSITY OF…St Edwards University: $500 · EducationUNIVERSITY OF NORTH TEXAS FOUNDATION INC: $2,500 · Philanthropy
Other$110,200Education$14,800Philanthropy$2,500

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 budgetUNIVERSITY OF MARY HARDIN-BAYLOR: $5,750 over 2y, 0.0% of budgetBAYLOR UNIVERSITY: $4,000 over 1y, 0.0% of budgetMCLENNAN COMMUNITY COLLEGE FOUNDATION ATTN CHRISTOPHER QUALLS: $3,750 over 2y, 0.1% of budgetUNIVERSITY OF NORTH TEXAS FOUNDATION INC: $2,500 over 2y, 0.0% of budgetHUSTON-TILLOTSON UNIVERSITY: $2,000 over 1y, 0.0% of budgetUNIVERSITY OF THE SOUTH: $800 over 1y, 0.0% of budgetSt Edwards University: $500 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 UNIVERSITY OF MARY HARDIN-BAYLOR ↗
  • Who funds BAYLOR UNIVERSITY ↗
  • Who funds MCLENNAN COMMUNITY COLLEGE FOUNDATION ATTN CHRISTOPHER QUALLS ↗
  • Who funds UNIVERSITY OF NORTH TEXAS FOUNDATION INC ↗
  • Who funds HUSTON-TILLOTSON UNIVERSITY ↗

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 tightly interlocked group: most of these funders back each other's grantees too.

Greater Texas FoundationTX13.8× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Greater Texas Foundation · 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 Zurfluh Hattie Scholarship Fund Tuw funds: left to right is the share of its income from government, bottom to top the share from Zurfluh Hattie Scholarship Fund Tuw. 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%13%25%38%50%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 · 0–50%
    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 45 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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