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· Private foundation

Larry Welch 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.

$40k
Granted FY2024still arriving
11
Grants FY2024still arriving
7
States reached
$12k
Largest
01What it funds
0182% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2024.

Religion$12kRecreation & Sports$9kHealth$7kArts & Culture$6kHuman Services$4kScience & Tech$2kHousing & Shelter$2kPublic Safety & Disaster$2kOther$0
02FY2024 · 11 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k10 grants · $28k
  • $10k–50k1 grant · $12k
$1,000
Median grant
7
States reached
$136k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$12,000
Individual grant recipient$8,000
FIRST UNITED METHODIST CHURCH$8,000
ST JUDES$5,000
WOUNDED WARRIORS$1,000
Individual grant recipient$1,000
HABITAT FOR HUMANITY$1,000
SALVATION ARMY$1,000
Individual grant recipient$1,000
RED CROSS$1,000
CAL FARLY BOYS RANCH$1,000
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 (FY20–24) land where the poverty rate runs at 14%, against an area that typically sits at 14%. 33% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 14%SISKI SMOKE JUMPERS: $12k → 9%AMERICAN PARKINSONS: $200 → 11%SALVATION ARMY: $1k → 12%WOUNDED WARRIORS: $500 → 16%CAL FARLY BOYS RANCH: $1k → 20%FIRST UNITED METHODIST CHURCH: $8k → 27%SHRINERS: $500 → 13%ST JUDES: $5k → 17%HABITAT FOR HUMANITY: $1k → 22%AMERICAN PARKINSONS: $1k → 9%NASA: $2k → 6%NATIONAL SMOKE JUMPERS: $8k → 9%SALVATION ARMY: $500 → 12%FIRST UNITED METHODIST CHURCH: $2k → 27%ST JUDES: $1k → 17%HABITAT FOR HUMANITY: $500 → 22%AMERICAN PARKS: $200 → 9%NSA: $1k → 6%SMOKE JUMPERS MUSEUM: $6k → 9%THE SALVATION ARMY: $500 → 12%FIRST UNITED METHODIST CHURCH: $1k → 27%ST JUDE CHILDRENS HOSPITAL: $800 → 17%HABITAT FOR HUMANITY: $100 → 22%NATIONAL SMOKE JUMPER ASSOCIATION: $3k → 9%SALVATION ARMY TYLER: $100 → 12%POST ANIMAL REFUGE CENTER: $500 → 27%ST JUDE: $300 → 17%NATIONAL SMOKE JUMPER ASSOCIATION: $3k → 9%RED CROSS: $1k → 12%POST ANIMAL REFUGE CENTER: $100 → 27%NATIONAL SMOKEJUMPER ASSOCIATION: $2k → 9%AMERICAN RED CROSS: $500 → 12%National Smokejumper Association: $1k → 9%SPCA OF EAST TEXAS: $300 → 12%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.

Which US states its grants reach

WA
MT
NY
MD
KS
TN
DC
GA
TX
FL
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 13% of Larry Welch Foundation’s grant dollars are earmarked for a different county than the recipient’s own address. By recipient address, 25% of the giving stays in TX; by stated purpose, 37%.

Larry Welch 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.

49%of every dollar goes to organizations it has funded before.
$33k · 9 repeat orgs$35k to everyone else

Grantees it renews have grown median revenue +74% since the first grant, against -11% for those funded once.

9 repeat relationships: 5 still active in FY2024, 4 since wound down; 6 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

9
9

Total granted

$33k
$11k

Median revenue growth · since first grant

+74%
-11%

Still filing today

56%
11%

New vs renewed · share of each year

In FY2024, 40% of grant dollars renewed an existing relationship; $24k went to new ones.

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

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

’20’21’22’23’24
AnimalsHealthPublic BenefitOther
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

  • NS
    National Smokejumper Association
    4× · 2020–2023 · $9k · revenue +120%
  • ST JUDE CHILDREN'S RESEARCH HOSPITAL INC
    3× · 2021–2024 · $7k · revenue +74%
  • NP
    NATIONAL PARK FOUNDATION
    3× · 2021–2023 · $1k · revenue +74%

Funded once

  • SJ
    SMOKE JUMPERS MUSEUM
    one grant, 2023 · $6k
  • N
    NASA
    one grant, 2022 · $2k
  • N
    NSA
    one grant, 2021 · $1k
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

6 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. 6 of the 24 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)
1
Early backer (in before they grew)
6/6
Grantees still filing
3/6
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $12,000 · OtherIndividual grant recipientFIRST UNITED METHODIST CHURCH: $11,000 · OtherFIRST UNITED METHODIST CHURCHNational Smokejumper Association: $8,500 · OtherNational Smokejumper AssociationIndividual grant recipient: $8,000 · OtherIndividual grant recipientSMOKE JUMPERS MUSEUM: $6,000 · OtherSMOKE JUMPERS MUSEUMNASA: $2,000 · OtherSALVATION ARMY: $2,000 · Other+13 more: $10,500 · Other+13 moreST JUDE CHILDREN'S RESEARCH HOSPITAL INC: $6,800 · HealthST JUDE CHI…POST ANIMAL REFUGE CENTER: $600 · AnimalsSPCA OF EAST TEXAS INC: $400 · AnimalsWOUNDED WARRIORS: $500 · Public Benefit
Other$60,000Health$6,800Animals$1,000Public Benefit$500

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetNational Smokejumper Association: $8,500 over 4y, 1.4% of budgetST JUDE CHILDREN'S RESEARCH HOSPITAL INC: $6,800 over 3y, 0.0% of budgetNATIONAL PARK FOUNDATION: $1,100 over 3y, 0.0% of budgetPOST ANIMAL REFUGE CENTER: $600 over 2y, 0.7% of budgetWOUNDED WARRIORS: $500 over 1y, 0.1% of budgetSPCA OF EAST TEXAS INC: $400 over 2y, 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 National Smokejumper Association ↗
  • Who funds ST JUDE CHILDREN'S RESEARCH HOSPITAL INC ↗
  • Who funds NATIONAL PARK FOUNDATION ↗
  • Who funds POST ANIMAL REFUGE CENTER ↗
  • Who funds WOUNDED WARRIORS ↗
  • Who funds SPCA OF EAST TEXAS INC ↗

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 Larry Welch Foundation funds: left to right is the share of its income from government, bottom to top the share from Larry Welch 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%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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 24 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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