· Private foundation
JS Pannullo Foundation Inc
Its FY2024 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2018–2024.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| Food Bank for NYC | $1,500 |
| Maryknoll Lay Missioners | $1,500 |
| St Joseph Indian School | $1,500 |
| St Labre Indian School | $1,500 |
| Franciscan Bread for the Poor | $1,500 |
| Oblater Sisters of St Francis | $1,500 |
| Maryknoll Sisters | $1,500 |
| Covenant House | $1,500 |
| St Francis Friends of the Poor | $1,500 |
| Catholic Bishops of Northern Alaska | $1,500 |
| Catholic Relief Services | $1,500 |
| St Bonaventure Mission | $1,500 |
| Salesien Missions | $1,500 |
| Boys Town | $1,500 |
| Catholic Medical Mission Board | $1,500 |
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.
Your human-services grants (FY18–23, $9k) land where the poverty rate runs at 15%, against an area that typically sits at 12%. 48% of those dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.
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.
Which US states your grants reach
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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +43% since the first grant, against +35% for the ones you funded once.
24 repeat relationships — 12 still active in FY2023, 12 since wound down; 5 grantees were first funded in FY2023 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2023, 71% of grant dollars renewed an existing relationship; $8k went to new ones.
Where new relationships form · theme of each grantee’s first grant
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
- SFST FRANCIS FRIENDS OF THE POOR INC5× · 2018–2023 · $5k · revenue +83%
- FFFather Flanagan's Boys' Home5× · 2018–2023 · $5k · revenue +43%
FOOD BANK FOR NEW YORK CITY5× · 2018–2023 · $4k · revenue +151%
Funded once
- MKMary Knoll Father and Brotherone grant, 2018 · $3k
- KCKings County American Legionone grant, 2021 · $1k
ORGANIZATION FOR AUTISM RESEARCHgraduatedone grant, 2018 · $1k · revenue +35%
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
7 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. 7 of the 43 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.
- Who funds CATHOLIC MEDICAL MISSION BOARD INC ↗
- Who funds ST FRANCIS FRIENDS OF THE POOR INC ↗
- Who funds Father Flanagan's Boys' Home ↗
- Who funds FOOD BANK FOR NEW YORK CITY ↗
- Who funds COVENANT HOUSE ↗
- Who funds ORGANIZATION FOR AUTISM RESEARCH ↗
- Who funds THE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS ↗
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: National Philanthropic Trust · Vanguard Charitable Endowment Program · 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.
Government reliance of your grantees
Every dot is one organization JS Pannullo Foundation Inc 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.