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Plinth

· Private foundation

Tom and Wendy Nogradi Foundation

$29k
Granted FY2018
8
Grants FY2018
3
States reached
$14k
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 FY20172018.

Health$61kAnimals$7kInternational$6kFood & Nutrition$553
02FY2018 · 8 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2018

  • Under $10k7 grants · $15k
  • $10k–50k1 grant · $14k
$2,686
Median grant
3
States reached
$636
Total assets
Largest grants
RecipientAmount
CONCERN FOUNDATION$14,080
AMERICAN CANCER SOCIETY$5,970
TOWER CANCER RESEARCH FOUNDATION$5,000
WORLD VISION$2,686
ASPCA$400
STEM CELL RESEARCH CENTER AT UCLA$300
BEVERLY HILLS MEALS ON WHEELS$293
CANINE COMPANIONS FOR INDEPENDENCE$250
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 (FY17–18) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%CONCERN FOUNDATION: $14k → 14%ASPCA: $700 → 17%CONCERN FOUNDATION: $9k → 14%ASPCA: $400 → 17%STEM CELL RESEARCH CENTER AT UCLA: $4k → 14%STEM CELL RESEARCH CENTER AT UCLA: $300 → 14%MS SOCIETY: $1k → 14%BEVERLY HILLS MEALS ON WHEELS: $293 → 14%BEVERLY HILLS MEALS ON WHEELS: $260 → 14%TOWER CANCER RESEARCH FOUNDATION: $5k → 14%TOWER CANCER RESEARCH FOUNDATION: $5k → 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 edge
repeat funding

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.

99%of every dollar goes to organizations you’ve funded before.
$68k · 7 repeat orgs$1k to everyone else

7 repeat relationships — 7 still active in FY2018, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

7
1

Total granted

$68k
$1k

Still filing today

71%
0%

New vs renewed · share of each year

In FY2018, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18
PhilanthropyHealthHuman ServicesAnimalsFood & NutritionOther

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

  • CF
    CONCERN FOUNDATION
    2× · 2017–2018 · $23k · revenue +30%
  • TC
    TOWER CANCER RESEARCH FOUNDATION
    2× · 2017–2018 · $10k · revenue +22%
  • CC
    CANINE COMPANIONS FOR INDEPENDENCE INC
    2× · 2017–2018 · $6k · revenue +76%

Funded once

  • MS
    MS SOCIETY
    one grant, 2017 · $1k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field
04the grantee network

6 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. 6 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
6/6
Grantees still filing
5/6
Grew since you first funded

Where your money sits — by cause, then by grantee

AMERICAN CANCER SOCIETY — $22,845 · OtherAMERICAN CANCER SOCIETYSTEM CELL RESEARCH CENTER AT UCLA — $4,300 · OtherSTEM CELL RESEARCH CENTER AT UCLAMS SOCIETY — $1,000 · OtherCONCERN FOUNDATION — $23,250 · PhilanthropyCONCERN FOUNDATIONTOWER CANCER RESEARCH FOUNDATION — $10,000 · HealthTOWER CANCER RE…CANINE COMPANIONS FOR INDEPENDENCE INC — $5,645 · Human ServicesWORLD VISION INC — $5,634 · InternationalTHE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS — $1,100 · AnimalsBEVERLY HILLS MEALS ON WHEELS — $553 · Food & Nutrition
Other$28,145Philanthropy$23,250Health$10,000Human Services$5,645International$5,634Animals$1,100Food & Nutrition$553

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 budgetCONCERN FOUNDATION — $23,250 over 2y, 0.6% of budgetTOWER CANCER RESEARCH FOUNDATION — $10,000 over 2y, 0.2% of budgetCANINE COMPANIONS FOR INDEPENDENCE INC — $5,645 over 2y, 0.0% of budgetWORLD VISION INC — $5,634 over 2y, 0.0% of budgetTHE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS — $1,100 over 2y, 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.

Government reliance of your grantees

Every dot is one organization Tom and Wendy Nogradi 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%4%8%11%15%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–15%
    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 9 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 2018, released 2018. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record but names no grant recipient in the published copy, so the figures above are from FY2018, the most recent year this funder’s grantee list reached the public record.

    Source object · view filing

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