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· Private foundation

Risk Management Association Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$237k
Granted FY2025still arriving
72
Grants FY2025still arriving
19
States reached
$50k
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 2025.

Education$1.9MCommunity Improvement$55k
02FY2025 · 72 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k68 grants · $108k
  • $10k–50k3 grants · $79k
  • $50k–250k1 grant · $50k
$1,500
Median grant
19
States reached
$7.4M
Total assets
Largest grants
RecipientAmount
PRAIRIE VIEW A&M UNIVERSITY$50,000
UNIVERSITY OF TULSA$41,000
BRYANT UNIVERSITY$20,000
LIVINGSTONE COLLEGE$18,000
Individual grant recipient$5,000
Individual grant recipient$5,000
Individual grant recipient$3,500
Individual grant recipient$3,500
Individual grant recipient$3,500
Individual grant recipient$3,500
Individual grant recipient$2,500
Individual grant recipient$2,500
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
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 (FY17–25) land where the poverty rate runs at 13%, against an area that typically sits at 13%. 48% of its dollars go to grantees based in above-average-need neighborhoods. Its grants spread fairly evenly across need levels.

area typical 13%JULIE SCULLY: $3k → 10%ERIN KELLY: $3k → 12%JIAHUI LIN: $3k → 16%JEREMY W PIKE: $3k → 5%HANNAH ENCK: $3k → 5%ANNA NGUYEN: $5k → 6%MICHAEL WATKINS: $3k → 10%LACEY BENZ: $3k → 11%HENRY OLBRISH: $3k → 7%MATTHEW M DEVER: $3k → 10%BRADLEY COLDITZ: $3k → 11%ZARA TICKNER: $3k → 12%COLIN RICKARD: $4k → 14%PRAIRIE VIEW A&M UNIVERSITY: $50k → 14%ZETH ZIENTEK: $4k → 16%EDGAR HERNANDEZ VEGA: $5k → 16%UNIVERSITY OF TULSA: $41k → 15%JULIE SHLYAKHETKO: $4k → 6%DILLON KLAHN: $4k → 9%MITCHELL J PITKIN: $4k → 11%LIVINGSTONE COLLEGE: $18k → 15%CARLOS D FRANCO: $5k → 21%MADISON E FAIRBANKS: $4k → 7%CHRISTIAN HOLMES: $4k → 8%JACOB HAGAN: $4k → 24%SYDNEY M ROBB: $4k → 12%CALEB C NOLANDER: $5k → 8%KURT T MANTES: $4k → 17%ISIS BURGOS: $5k → 8%ANTASIA D GLENN: $8k → 14%ANDREW OMER: $4k → 12%RYAN P MICHENER: $4k → 6%ANGEL Y HSU: $5k → 10%KAMARIA MARSHALL: $4k → 16%DAWSON WENTHOLD: $4k → 15%CHASE T ROURKE: $4k → 15%BRYANT UNIVERSITY: $20k → 14%BEN LUDLOW: $4k → 8%HARSHAL CHOKSI: $4k → 8%SALIM YAKUBU: $5k → 17%BRAYDEN S O'BRIEN: $4k → 6%MSU DENVER: $5k → 12%SAM O'BRIEN: $8k → 7%JEFFREY STEFANUCCI: $4k → 8%BRIANNA MORGAN: $5k → 7%CARLEY COOK: $5k → 13%BRIANNA SUEDA: $5k → 11%MACEY NOON: $8k → 16%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

ME
NH
WA
ND
MN
IL
WI
MI
NY
MA
OR
NV
SD
IA
IN
OH
PA
NJ
CT
RI
CA
UT
CO
NE
MO
KY
WV
VA
MD
DE
AZ
NM
KS
AR
TN
NC
SC
DC
HI
OK
LA
MS
AL
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.
03Its grantees
repeat funding

Who it funds again

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

17%of every dollar goes to organizations it has funded before.
$333k · 93 repeat orgs$1.6M to everyone else

93 repeat relationships: 8 still active in FY2025, 85 since wound down; 64 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

93
659

Total granted

$333k
$1.4M

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 6% of grant dollars renewed an existing relationship; $223k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
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

  • IG
    Individual grant recipient
    2× · 2019–2020 · $7k
  • IG
    Individual grant recipient
    2× · 2018–2019 · $6k
  • IG
    Individual grant recipient
    2× · 2019–2020 · $6k

Funded once

  • IG
    Individual grant recipient
    one grant, 2018 · $8k
  • IG
    Individual grant recipient
    one grant, 2019 · $8k
  • IG
    Individual grant recipient
    one grant, 2018 · $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
04the grantee network

3 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. 3 of the 816 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)
3/3
Grantees still filing
0/3
Grew since first funded

Where the money sits, by cause and then by grantee

PRAIRIE VIEW A&M UNIVERSITY: $50,000 · OtherPRAIRIE VIEW A&M UNIVERSITY+196 more: $713,000 · Other+196 moreThe University of Tulsa: $41,000 · EducationThe Univer…BRYANT UNIVERSITY: $20,000 · EducationBRYANT UNI…Livingstone College: $18,000 · EducationLivingston…
Other$763,000Education$79,000

Showing the 200 largest grantees by grant value.

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

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetThe University of Tulsa: $41,000 over 1y, 0.0% of budgetBRYANT UNIVERSITY: $20,000 over 1y, 0.0% of budgetLivingstone College: $18,000 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 The University of Tulsa ↗
  • Who funds BRYANT UNIVERSITY ↗
  • Who funds Livingstone College ↗

How much its grantees rely on government

Each dot is one organization Risk Management Association Foundation funds: left to right is the share of its income from government, bottom to top the share from Risk Management Association Foundation. Bigger dots raise more.

2025
’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 →median 2%
  • The University of Tulsa: 2% of 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 · 0–75%
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 816 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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