· Public charity
Tomorrow's Hope Foundation Inc
To ensure the excellence as well as the continuance of catholic schools on long island by increasing awareness and by providing scholarships and program funding for the needs of students and schools.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2022.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| OUR LADY OF GUADALUPE CATHOLIC SCHOOL OF LONG ISLAND | $111,000 |
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 (FY17–22) land where the poverty rate runs at 6%, against an area that typically sits at 5%. 100% 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.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
40 repeat relationships — 0 still active in FY2022, 40 since wound down; 1 grantees were first funded in FY2022 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Still filing today
New vs renewed · share of each year
In FY2022, 0% of grant dollars renewed an existing relationship; $111k went to new ones.
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). The earliest year is left-censored: relationships that predate the data read as “new.” Theme is the grantee’s IRS cause.
Backed again, and grew
- SPST PATRICK SCHOOL4× · 2017–2020 · $823k
- SMST MARTIN DE PORRES MARIANIST SCHOOL4× · 2017–2020 · $743k
- OLOUR LADY OF PROVIDENCE REGIONAL SCHOOL4× · 2017–2020 · $363k
Funded once
- SIST ISIDORE SCHOOLone grant, 2017 · $23k
- SOSISTERS OF THE HOLY CHILD JESUS AT OLD WESTBURY NEW YORK INCone grant, 2019 · $13k
- OLOUR LADY OF MERCY REGIONAL SCHOOLone grant, 2017 · $11k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
0 grantees tracked through their own filings, 2017–2022.
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 2017–2022, not grant rows in a single year — so this will not match the grant count on the cover. 0 of the 46 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 tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Tomorrows Hope Foundation II Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation
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.