· Public charity
Education for Employment
To create employment opportunities for young people in the middle east and north africa through career training in vocational, technical, managerial and professional skills.
Where the money goes
Grants by size, and the largest recipients.
How this is measured
| Recipient | Amount |
|---|---|
| THE COLLEGE OF WOOSTER | $19,351 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Dollar for dollar, its grants (FY25–25) land where the poverty rate runs at 10%, against an area that typically sits at 8%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
Grants abroad, by region: $2.0M on the FY2025 return
Schedule F, as filed: 2 regions. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.
Stated purpose: PROGRAM SUPPORT
Stated purpose: PROGRAM SUPPORT
How this is measured
1 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.
Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.
Each grantee by its size and the funder’s share of it; top left is load-bearing
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.
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How do I get to Education for Employment?
Find your warmest path to Education for Employment 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.
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