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Ackley Foundation Inc at a glance

· Private foundation

Ackley Foundation Inc

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.

$51k
Granted FY2025still arriving
14
Grants FY2025still arriving
1
States reached
$15k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2024.

Employment$50kHealth$11kEducation$10k
02FY2025 · 14 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k13 grants · $36k
  • $10k–50k1 grant · $15k
$3,030
Median grant
1
States reached
$106k
Total assets
Largest grants
RecipientAmount
PASCO-HERNANDO STATE COLLEGE$15,000
Individual grant recipient$7,330
Individual grant recipient$4,170
Individual grant recipient$4,000
Individual grant recipient$3,430
Individual grant recipient$3,290
Individual grant recipient$3,030
Individual grant recipient$2,900
Individual grant recipient$2,300
Individual grant recipient$1,620
DANY NADIM ELSAGHEER AH$1,350
Individual grant recipient$1,000
Individual grant recipient$610
Individual grant recipient$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.

US giving: 88% of grant dollars ($62k). The need read here covers only this US portion; the 12% that went abroad ($8k) is mapped below.

show:

Dollar for dollar, its grants (FY23–25) land where the poverty rate runs at 11%, against an area that typically sits at 12%. 0% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 12%PASCO-HERNANDO STATE COLLEGE: $15k → 11%JAZMINE RIVERA: $7k → 12%AMSKILLS INC: $50k → 11%Margaret Catherine Lamphier: $11k → 12%GABRIELA ESPINOSA: $500 → 12%WILTON SIMPSON TECHNICAL COLLEGE: $1k → 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.

Beyond the US: 12% of all-years giving ($8k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Lebanon$8k · 7 grants
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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its grantees
repeat funding

Who it funds again

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

23%of every dollar goes to organizations it has funded before.
$28k · 7 repeat orgs$93k to everyone else

7 repeat relationships: 7 still active in FY2025, 0 since wound down; 7 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

7
3

Total granted

$28k
$62k

Still filing today

0%
33%

New vs renewed · share of each year

In FY2025, 38% of grant dollars renewed an existing relationship; $31k went to new ones.

50%100%’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× · 2024–2025 · $6k
  • IG
    Individual grant recipient
    2× · 2024–2025 · $6k
  • IG
    Individual grant recipient
    2× · 2024–2025 · $4k

Funded once

  • AI
    AmSkills Inc
    one grant, 2024 · $50k · revenue -23%
  • IG
    Individual grant recipient
    one grant, 2023 · $11k
  • WS
    WILTON SIMPSON TECHNICAL COLLEGE
    one grant, 2024 · $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
04the grantee network

1 grantees tracked through their own filings, 2019–2025.

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

How this is measured

Counted here: distinct organizations funded across 2019 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 17 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)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

PASCO-HERNANDO STATE COLLEGE: $15,000 · OtherPASCO-HERNANDO STATE COLLEGEIndividual grant recipient: $10,500 · OtherIndividual grant recipientIndividual grant recipient: $7,330 · OtherIndividual grant recipientIndividual grant recipient: $6,290 · OtherIndividual grant recipientIndividual grant recipient: $6,093 · OtherIndividual grant recipientIndividual grant recipient: $4,478 · OtherIndividual grant recipientIndividual grant recipient: $3,730 · OtherIndividual grant recipient: $3,290 · OtherIndividual grant recipient: $3,215 · OtherIndividual grant recipient: $3,030 · Other+6 more: $7,790 · Other+6 moreAmSkills Inc: $50,000 · EducationAmSkills Inc
Other$70,746Education$50,000

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 budgetAmSkills Inc: $50,000 over 1y, 3.1% 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 AmSkills Inc ↗

How much its grantees rely on government

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

2024
’22’23’24
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 3%
  • AmSkills Inc: 3% 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, FY22–24
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.
05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Ackley Foundation Inc?

Find your warmest path to Ackley Foundation Inc through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

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 17 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