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Nancy a Larson Foundation Inc at a glance

· Private foundation

Nancy a Larson Foundation Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$12k
Granted FY2025still arriving
8
Grants FY2025still arriving
5
States reached
$2k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
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$86k
02FY2025 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

$1,500
Median grant
5
States reached
$10k
Total assets
Largest grants
RecipientAmount
THE UNIVERSITY OF ALABAMA - AMY NIC$1,500
KANSAS STATE UNIVERSITY - MARCIA ME$1,500
AUGUSTANA COLLEGE - WAIAHULI AKAU$1,500
OKLAHOMA STATE UNIVERSITY - LIBERTY$1,500
AUBURN UNIVERSITY - QUINN O'BRIEN$1,500
ILLINOIS STATE UNIVERSITY - JADYN E$1,500
WRIGHT STATE UNIVERSITY - KIERA THO$1,500
KANSAS STATE UNIVERSITY - ALEJANDRO$1,500
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 14%, against an area that typically sits at 11%. 71% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%UNIVERSITY OF ARIZONA - NATALIE LAR: $1k → 15%WILMINGTON UNIVERSITY - NICOLE BROW: $1k → 10%BRANDEIS UNIVERSITY - JACQUELINE MU: $1k → 8%ASSUMPTION COLLEGE - JULIANNA MONTM: $1k → 11%CONCORDIA UNIVERSITY - STEPHANIE TE: $1k → 8%BOISE STATE UNIVERSITY - KAREN DOUG: $1k → 8%UNIVERSITY OF MINNESOTA - DULUTH -: $1k → 15%SAINT VINCENT COLLEGE - NICHOLAS HO: $1k → 10%SAN DIEGO STATE UNIVERSITY - NADIA: $1k → 11%CALIFORNIA STATE UNIVERSITY LOS ANG: $2k → 14%NEW YORK UNIVERSITY - JESSICA MEDRA: $2k → 17%TEXAS LUTHERAN UNIVERSITY - MAKAYLA: $1k → 10%UNIVERSITY OF HOUSTON DOWNTOWN - SV: $1k → 16%OKLAHOMA STATE UNIVERSITY - LIBERTY: $2k → 19%AMERICAN UNIVERSITY - SARATA GUMANE: $2k → 14%FLORIDA GULF COAST UNIVERSITY - HOP: $1k → 11%FLORIDA STATE UNIVERSITY - CARSON K: $2k → 19%ALMA COLLEGE - CARTER CROW: $2k → 12%AUBURN UNIVERSITY - QUINN O'BRIEN: $2k → 15%THE UNIVERSITY OF ALABAMA - AMY NIC: $2k → 17%FORT HAYS STATE UNIVERSITY - KRISTI: $1k → 14%KANSAS STATE UNIVERSITY - MARCIA ME: $2k → 20%MISSOURI STATE UNIVERSITY - TYLER C: $2k → 15%GEORGE FOX UNIVERSITY - VICTORIA SC: $1k → 11%CORBAN UNIVERSITY - ALEXIA TOUCHSTO: $1k → 14%RHODE ISLAND COLLEGE - LIZABETH TOR: $2k → 14%WESTERN GOVERNORS UNIVERSITY - MICH: $1k → 8%MERCER UNIVERSITY - DESHONA LEMON: $1k → 14%PURDUE UNIVERSITY - ELIZABETH CHRIS: $1k → 19%WRIGHT STATE UNIVERSITY - KIERA THO: $2k → 9%FRANCISCAN UNIVERSITY OF STEUBENVIL: $2k → 19%PACIFIC LUTHERAN UNIVERSITY - AHMIR: $2k → 9%LEWIS UNIVERSITY - IVA GEORGIEV: $1k → 7%NORTHERN ILLINOIS UNIVERSITY - QUAS: $1k → 13%LOYOLA COLLEGE CHICAGO - PATRICIA V: $1k → 14%AUGUSTANA COLLEGE - MARY KING: $2k → 15%UNIVERSITY OF ILLINOIS AT URBANA-CH: $1k → 19%RAMAPO COLLEGE OF NEW JERSEY - TAYL: $1k → 7%GEORGE MASON UNIVERSITY - VICTORIA: $1k → 6%ROANOKE COLLEGE - CAITLIN BLAKE: $1k → 8%UNIVERSITY OF VIRGINIA - BRIDGET DR: $1k → 8%UNIVERSITY OF NEVADA RENO - GABRIEL: $1k → 10%UNIVERSITY OF MARYLAND COLLEGE PARK: $1k → 11%UNIVERSITY OF NEW HAMPSHIRE - ANGEL: $2k → 9%LOYOLA MARYMOUNT UNIVERSITY - CADEN: $2k → 14%KANSAS STATE UNIVERSITY - MIRNA LIN: $2k → 20%AUGUSTANA COLLEGE - WAIAHULI AKAU: $2k → 15%KANSAS STATE UNIVERSITY - ALEJANDRO: $2k → 20%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

NH
WA
ID
MN
IL
MI
NY
MA
OR
NV
IN
OH
PA
NJ
RI
CA
UT
NE
MO
KY
VA
MD
DE
AZ
NM
KS
TN
SC
DC
OK
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 field
04the grantee network

5 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. 5 of the 73 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
4/5
Grew since first funded

Where the money sits, by cause and then by grantee

+68 more: $79,000 · Other+68 moreLOYOLA MARYMOUNT UNIVERSITY: $1,500 · EducationFRANCISCAN UNIVERSITY OF STEUBENVILLE: $1,500 · EducationPacific Lutheran University: $1,500 · EducationASSUMPTION UNIVERSITY: $1,000 · EducationWESTERN GOVERNORS UNIVERSITY: $1,000 · Education
Other$79,000Education$6,500

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 budgetLOYOLA MARYMOUNT UNIVERSITY: $1,500 over 1y, 0.0% of budgetFRANCISCAN UNIVERSITY OF STEUBENVILLE: $1,500 over 1y, 0.0% of budgetPacific Lutheran University: $1,500 over 1y, 0.0% of budgetASSUMPTION UNIVERSITY: $1,000 over 1y, 0.0% of budgetWESTERN GOVERNORS UNIVERSITY: $1,000 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 LOYOLA MARYMOUNT UNIVERSITY ↗
  • Who funds FRANCISCAN UNIVERSITY OF STEUBENVILLE ↗
  • Who funds Pacific Lutheran University ↗
  • Who funds ASSUMPTION UNIVERSITY ↗

How much its grantees rely on government

Each dot is one organization Nancy a Larson Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Nancy a Larson Foundation Inc. 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%25%50%75%100%share of the org’s income from government →median 1%
  • Assumption University: 1% of income from government
no gov moneyreceives it· size = income
0get no government money at all
0rely on government for over half their income
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 73 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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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home