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Plinth

· Private foundation

The Jackie Long Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$22k
Granted FY2024still arriving
11
Grants FY2024still arriving
1
States reached
$2k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172024.

Human Services$146kHealth$13kEducation$2k
02FY2024 · 11 grants

Where the money goes

Your grants by size, and where they go.

$2,000
Median grant
1
States reached
$255k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
MARIA UGAZ TOMAS Z GORICKE$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$2,000
KRISTAL CHAVEZ ANDRES RAYA$2,000
Individual grant recipient$2,000
02The need
03

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.

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 68% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 10%Pediatric Cancer Research Foundation: $10k → 10%MICHELLE GAFFNEY MICHAEL RAMOS: $2k → 6%RAMON LOPEZ: $2k → 7%Michelle Boyer Mike Daoust: $2k → 7%CARA & JAMES SCHAFER: $2k → 8%Ilona Pawel Sowinski: $2k → 8%GLENDA LOPEZ AND EDUARDO MEJIA RODR: $2k → 9%ODALIS GUZMAN: $2k → 9%HOYLE COTA: $2k → 11%Claudia Maisonet: $2k → 14%GUAOLALYE VALDESPINOREYES: $2k → 14%GOPALAKRISHNAN ELUMALAI SHANTHI: $2k → 15%SARAN O'CONNOR: $2k → 15%MARYAM ARAHEEM: $2k → 19%RACHEL JACKSON: $2k → 20%LATONYA JONES: $2k → 7%Martha Reyes Geraldo Rubio: $2k → 7%SANDY MELCHOR: $2k → 8%JACKIE GRANDE: $2k → 12%JULIE MITCHELL: $2k → 14%KYTONIA ALLEN: $2k → 14%CARTER EDUCATION & COMMUNITY FOUNDATION: $2k → 19%MARVIN LOPEZ GLADIS GARCIA: $2k → 7%ROBYN BURTON: $2k → 7%SAMANTHA RASMUSSEN: $2k → 8%SHANTEL AND ANTHONY NEWCOMER: $2k → 9%Randy Jennifer Fortin: $2k → 14%Blanca Trijillo Jose Garcia: $2k → 14%MORGAN GASTON: $2k → 15%JOHANNA CRUZ: $2k → 19%ROBERTA SUDA MARCO FRIGENI: $2k → 8%Christi Luke Starr: $2k → 8%TIERNEY WICKS: $2k → 15%CHRISTINA COLEMAN: $2k → 7%JOHN HUNT: $2k → 7%IDALIS MARTINEZ: $2k → 8%Monique Lopez: $2k → 8%CHERYL JOHNSON: $2k → 14%SARAH JANDEJFKA: $2k → 7%AMPARO MONTES: $2k → 8%Dorrett Bernard: $2k → 14%GABRIELA RUIZ: $2k → 14%TAMARA TORRES: $2k → 14%CLAUDIA NAVO SANCHEZ: $2k → 14%JOBERTA WILLIAMS: $2k → 14%Maria Davide Viscuso: $2k → 14%MARIA UGAZ TOMAS Z GORICKE: $2k → 14%KRISTAL CHAVEZ ANDRES RAYA: $2k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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.

03Your field
04the grantee network

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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 2 of the 103 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
2/2
Grew since you first funded

Where your money sits — by cause, then by grantee

PEDIATRIC CANCER RESEARCH FOUNDATION — $10,000 · OtherPEDIATRIC CANCER RESEARCH FOUNDATION+101 more — $150,234 · Other+101 moreAnn & Robert H Lurie Children's Hospital of Chicago — $1,000 · Health
Other$160,234Health$1,000

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetPEDIATRIC CANCER RESEARCH FOUNDATION — $10,000 over 1y, 0.3% of budgetAnn & Robert H Lurie Children's Hospital of Chicago — $1,000 over 1y, 0.0% of budget
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 PEDIATRIC CANCER RESEARCH FOUNDATION

Government reliance of your grantees

Every dot is one organization The Jackie Long Foundation 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.

2024
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%1%3%4%5%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY2025

    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.

    On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 103 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears. How we build these →

    Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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