· Public charity
Maine Center for Enterprise Development Dba Maine Center for Entrepreneurs
To create high quality jobs for maine through best practice incubations services that systematically assist new businesses with intellectual property and business plan needs, r&d activities, early stage financing and product commercialization.
What you funded, over time
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 100% of MAINE CENTER FOR ENTERPRISE DEVELOPMENT DBA MAINE CENTER FOR ENTREPRENEURS’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- Under $10k1 grant · $5k
- $10k–50k1 grant · $25k
| Recipient | Amount |
|---|---|
| NOR'EASTER OYSTER CO | $25,000 |
| DELTACOM COFFEE LLC | $5,000 |
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 (FY19–24) land where the poverty rate runs at 8%, against an area that typically sits at 9%. 19% of your dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-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.
0 grantees tracked through their own filings, 2019–2024.
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 2019–2024, not grant rows in a single year — so this will not match the grant count on the cover. 0 of the 9 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
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.
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.
Open a dossier: Maine Technology Institute
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.