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· Public charity

Talentfirst Inc

Talentfirst convenes business leaders, leverages data and insights, and advances strategies to define the skills and credentials employers need, close workforce gaps, and strengthen west michigan as a leader in employer-driven talent solutions.

$1.6M
Granted FY2025still arriving
8
Grants FY2025still arriving
1
States reached
$383k
Largest
01What it funds
01FY2025 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • $10k–50k1 grant · $30k
  • $50k–250k4 grants · $622k
  • $250k+3 grants · $989k
$231,056
Median grant
1
States reached
$6.7M
Total assets
Largest grants
RecipientAmount
NORTHERN MICHIGAN UNIVERSITY$383,081
GLEN OAKS COMMUNITY COLLEGE$345,670
WAYNE STATE UNIVERSITY$260,219
MUSKEGON COMMUNITY COLLEGE$231,056
CENTRAL MICHIGAN UNIVERSITY$161,107
JACKSON COLLEGE$116,698
MONROE COUNTY COMMUNITY COLLEGE$113,590
GRAND VALLEY STATE UNIVERSITY$30,330
02The need
02

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 (FY25–25) land where the poverty rate runs at 14%, against an area that typically sits at 15%. 26% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 15%GRAND VALLEY STATE UNIVERSITY: $30k → 8%MONROE COUNTY COMMUNITY COLLEGE: $114k → 10%NORTHERN MICHIGAN UNIVERSITY: $383k → 11%JACKSON COLLEGE: $117k → 13%GLEN OAKS COMMUNITY COLLEGE: $346k → 13%MUSKEGON COMMUNITY COLLEGE: $231k → 15%CENTRAL MICHIGAN UNIVERSITY: $161k → 19%WAYNE STATE UNIVERSITY: $260k → 21%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
03the grantee network

0 grantees tracked through their own filings, 2025–2025.

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

How this is measured

Counted here: distinct organizations funded across 2025 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 8 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

NORTHERN MICHIGAN UNIVERSITY: $383,081 · OtherNORTHERN MICHIGAN UNIVERSITYGLEN OAKS COMMUNITY COLLEGE: $345,670 · OtherGLEN OAKS COMMUNITY COLLEGEWAYNE STATE UNIVERSITY: $260,219 · OtherWAYNE STATE UNIVERSITYMUSKEGON COMMUNITY COLLEGE: $231,056 · OtherMUSKEGON COMMUNITY COLLEGECENTRAL MICHIGAN UNIVERSITY: $161,107 · OtherCENTRAL MICHIGAN UNIVERSITYJACKSON COLLEGE: $116,698 · OtherJACKSON COLLEGEMONROE COUNTY COMMUNITY COLLEGE: $113,590 · OtherMONROE COUNTY COMMUNITY COLLEGE+1 more: $30,330 · Other
Other$1,641,751

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.

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 8 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

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