· Public charity
Wabash River Enhancement Corporatio Attn Stanton Lambert
To improve the quality of life in the wabash river corridor by providing sustainable opportunities to improve health, recreation, education, economic development, and environmental management.
Read this first · the figures below need context
100% of Wabash River Enhancement Corporatio Attn Stanton Lambert’s FY2024 grant dollars went to Western Indiana Community Foundation Inc, not to grantees.
Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2024 names 0 organizations directly, so a portfolio cannot be read from it.
Organizations named directly on the return
Amber years are those where most dollars went to a sponsor.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2023–2024.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| WESTERN INDIANA COMMUNITY FOUNDATIO | $78,350 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY23–24) land where the poverty rate runs at 13%, against an area that typically sits at 12%. 86% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
2 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover.
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
Government reliance of your grantees
Every dot is one organization Wabash River Enhancement Corporatio Attn Stanton Lambert funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.
Warm introductions · Powered by PlinthPlus
How do I get to Wabash River Enhancement Corporatio Attn Stanton Lambert?
Find your warmest path to Wabash River Enhancement Corporatio Attn Stanton Lambert 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.