· Public charity
Alexander Hamilton Home-School Association
To engage in fundraising activities that directly support the education of Glen Rock's children.
What you funded, over time
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 100% of ALEXANDER HAMILTON HOME-SCHOOL ASSOCIATION’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.
The 1 grants below total $11,824 — the rows itemised in this filing. The $12,174 headline is the total grant expense reported on the return, so the remaining $350 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
| Recipient | Amount |
|---|---|
| ALEXANDER HAMILTON SCHOOL | $11,824 |
0 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. 0 of the 1 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.
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.
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How do I get to Alexander Hamilton Home-School Association?
Find your warmest path to Alexander Hamilton Home-School Association 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.