Skip to content

· Public charity

University of North Florida Training and Services Institute Inc

To implement and adminster special educational and training programs at the university of north florida and other university of north florida institutions.

$1.8M
Granted FY2025still arriving
1
Grants FY2025still arriving
1
States reached
$1.8M
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$1.8MPublic Safety & Disaster$224k
02FY2025 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$1,750,000
Median grant
1
States reached
$17M
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF NORTH FLORIDA$1,750,000
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 14%, against an area that typically sits at 12%. 98% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%Okaloosa County Sheriff's Office: $5k → 8%Melbourne Police Department: $20k → 10%West Palm Beach Police Department: $5k → 11%Pinellas County Sheriff's Office: $31k → 12%Hillsborough County SO: $16k → 13%Osceola County Sheriff's Office: $11k → 13%Port St Lucie Police Department: $12k → 13%UNIVERSITY OF NORTH FLORIDA: $1.8M → 14%Miami Police Department: $15k → 15%Lakeland Police Department: $11k → 16%Escambia County Sheriff's Office: $7k → 16%Florida Highway Patrol: $36k → 19%Palm Beach County Sheriff's Office: $10k → 11%St Petersburg Police Department: $7k → 12%Tampa Police Department: $7k → 13%Jacksonville Sheriff's Office: $16k → 14%Largo Police Department: $6k → 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.
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

0 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. 0 of the 18 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF NORTH FLORIDA: $1,750,000 · OtherUNIVERSITY OF NORTH FLORIDA+17 more: $224,240 · Other+17 more
Other$1,974,240

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 tightly interlocked group: most of these funders back each other's grantees too.

Firehouse Subs Public Safety Foundation IncFL20× affinity8 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Firehouse Subs Public Safety Foundation Inc · AARP

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 18 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

Play a game based on University of North Florida Training and Services Institute’s filings →

More from the funding graph