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· Public charity

Arizona Veterans Research and Education Foundation

To promote, support, and facilitate meritorious biomedical and health services research and education activities conducted by investigators at the phoenix va health care system that contribute to improve healthcare for veterans and the general public.

$51k
Granted FY2022
2
Grants FY2022
2
States reached
$25k
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 2022.

Recreation & Sports$413kHealth$212kEducation$107kScience & Tech$7k
02FY2022 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 2 grants below total $31,577, the rows itemized in this filing. The $51,410 headline is the total grant expense on the return; the other $19,833 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2022

  • Under $10k1 grant · $7k
  • $10k–50k1 grant · $25k
$24,971
Median grant
2
States reached
$3.7M
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF CALIFORNIA LOS ANGELES$24,971
UNIVERSITY OF ARIZONA$6,606
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 (FY18–22) land where the poverty rate runs at 13%, against an area that typically sits at 10%. 96% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%DIGNITY HEALTH ST JOSEPH'S HOSPITAL: $42k → 11%UNIVERSITY OF ARIZONA: $178k → 15%UNIVERSITY OF CALIFORNIA LOS ANGELES: $25k → 14%UNIVERSITY OF VERMONT: $26k → 10%PREVENTAGE: $130k → 10%DIGNITY HEALTH ST JOSEPH'S HOSPITAL: $15k → 11%UNIVERSITY OF ARIZONA: $146k → 15%UNIVERSITY OF ARIZONA: $89k → 15%UNIVERSITY OF ARIZONA: $7k → 15%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.

76%of every dollar goes to organizations it has funded before.
$558k · 3 repeat orgs$180k to everyone else

3 repeat relationships: 1 still active in FY2022, 2 since wound down; 1 grantees were first funded in FY2022 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
2

Total granted

$558k
$155k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2022, 21% of grant dollars renewed an existing relationship; $25k went to new ones.

50%100%’18’20’21’22
RenewedFirst-time
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 ARIZONA
    4× · 2018–2022 · $420k
  • AS
    ARIZONA STATE UNIVERSITY
    6× · 2018–2025 · $81k
  • DH
    DIGNITY HEALTH-ST JOSEPH'S HOSPITAL AZ
    2× · 2018–2020 · $57k

Funded once

  • P
    PREVENTAGE
    one grant, 2020 · $130k
  • UO
    UNIVERSITY OF VERMONT AND STATE AGRICULTURAL COLLEGE
    one grant, 2020 · $26k
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

5 grantees tracked through their own filings, 2018–2025.

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

How this is measured

Counted here: distinct organizations funded across 2018 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 5 of the 6 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)
5/5
Grantees still filing
3/5
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF ARIZONA: $419,711 · OtherUNIVERSITY OF ARIZONAPREVENTAGE: $129,697 · OtherPREVENTAGEARIZONA STATE UNIVERSITY: $81,255 · OtherARIZONA STATE UNIVERSITYDIGNITY HEALTH-ST JOSEPH'S HOSPITAL AZ: $56,957 · OtherDIGNITY HEALTH-ST JOSEPH'S HOSPITAL AZUNIVERSITY OF VERMONT AND STATE AGRICULTURAL COLLEGE: $25,525 · OtherREGENTS UNIV OF CALIFORNIA: $24,971 · Other
Other$738,116

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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.

Mayo Clinic Group ReturnMN15.6× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Mayo Clinic Group Return

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.

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 6 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 e-file return for fiscal year 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports $762k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2022, the most recent year this funder named its grantees.

Source object · view filing

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