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Plinth

· Private foundation

Lima Cares

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$36k
Granted FY2023
9
Grants FY2023
2
States reached
$10k
Largest
01What you fund
0184% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172023.

Arts & Culture$132kFood & Nutrition$44kHuman Services$38kEducation$24kCrime & Legal$20kHousing & Shelter$12kYouth Development$5kAnimals$4kOther$0
02FY2023 · 9 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2023

  • Under $10k7 grants · $16k
  • $10k–50k2 grants · $20k
$4,000
Median grant
2
States reached
$0
Total assets
Largest grants
RecipientAmount
HOLY FAMILY HOME$10,000
PHILABUNDANCE$10,000
WHYY$4,000
Individual grant recipient$4,000
MISSION KIDS$4,000
VINTAGE RACERS FOR RESCUE$2,500
FRIENDS OF ABINGTON LIBRARY$500
PENNYPACK TRUST$500
CRADLE OF HOPE$500
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:

Your human-services grants (FY21–23, $2k) land where the poverty rate runs at 7%, against an area that typically sits at 13%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 13%CRADLE OF HOPE: $500 → 7%CRADLE OF HOPE: $500 → 7%CRADLE OF HOPE: $500 → 7%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.

92%of every dollar goes to organizations you’ve funded before.
$289k · 12 repeat orgs$24k to everyone else

12 repeat relationships — 8 still active in FY2023, 4 since wound down; 1 grantees were first funded in FY2023 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

12
4

Total granted

$289k
$21k

Still filing today

58%
0%

New vs renewed · share of each year

In FY2023, 93% of grant dollars renewed an existing relationship; $3k went to new ones.

50%100%’17’18’19’20’21’22’23
RenewedFirst-time

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

’17’18’19’20’21’22’23
EducationFood & NutritionCrime & LegalArts & CultureHuman ServicesOther

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

  • Philabundance
    7× · 2017–2023 · $44k · revenue +101%
  • LS
    LITTLE SISTERS OF THE POOR OF THE CITY AND COUNTY OF PHILADELPHIA
    4× · 2017–2023 · $38k · revenue +84%
  • MK
    MISSION KIDS CHILD ADVOCACY CENTER
    7× · 2017–2023 · $20k · revenue +490%

Funded once

  • IG
    Individual grant recipient
    one grant, 2019 · $10k
  • IG
    Individual grant recipient
    one grant, 2020 · $5k
  • BB
    BIG BROTHERSBIG SISTERS
    one grant, 2020 · $5k

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

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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 7 of the 17 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)
1
Early backer (in before they grew)
7/7
Grantees still filing
6/7
Grew since you first funded

Where your money sits — by cause, then by grantee

LITTLE SISTERS OF THE POOR OF THE CITY AND COUNTY OF PHILADELPHIA — $38,000 · OtherLITTLE SISTERS OF THE POOR OF THE CITY AND…Individual grant recipient — $19,500 · OtherIndividual grant recipientST BASIL ACADEMY — $13,000 · OtherST BASIL ACADEMYIndividual grant recipient — $10,000 · OtherIndividual grant recipientHABITAT FOR HUMANITY — $10,000 · OtherHABITAT FOR HUMANITYGIRARD COLLEGE — $9,000 · OtherGIRARD COLLEGEIndividual grant recipient — $5,000 · OtherBIG BROTHERSBIG SISTERS — $5,000 · Other+4 more — $6,700 · Other+4 moreTHE UNIVERSITY OF THE ARTS — $115,000 · EducationTHE UNIVERSITY OF THE ARTSPhilabundance — $43,500 · Food & NutritionPhilabundanceMISSION KIDS CHILD ADVOCACY CENTER — $20,000 · Crime & LegalWHYY INC — $16,500 · Arts & CultureCradle of Hope Inc — $1,500 · Human Services
Other$116,200Education$115,000Food & Nutrition$43,500Crime & Legal$20,000Arts & Culture$16,500Human Services$1,500

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

25%50%75%100%$100k$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetTHE UNIVERSITY OF THE ARTS — $115,000 over 3y, 0.0% of budgetPhilabundance — $43,500 over 7y, 0.0% of budgetLITTLE SISTERS OF THE POOR OF THE CITY AND COUNTY OF PHILADELPHIA — $38,000 over 4y, 0.2% of budgetMISSION KIDS CHILD ADVOCACY CENTER — $20,000 over 7y, 0.1% of budgetWHYY INC — $16,500 over 7y, 0.0% of budgetFRIENDS OF THE ABINGTON TOWNSHIP PUBLIC LIBRARY — $1,700 over 5y, 0.2% of budgetCradle of Hope Inc — $1,500 over 3y, 0.2% 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 THE UNIVERSITY OF THE ARTS
  • Who funds Philabundance
  • Who funds LITTLE SISTERS OF THE POOR OF THE CITY AND COUNTY OF PHILADELPHIA
  • Who funds MISSION KIDS CHILD ADVOCACY CENTER
  • Who funds WHYY INC
  • Who funds FRIENDS OF THE ABINGTON TOWNSHIP PUBLIC LIBRARY
  • Who funds Cradle of Hope Inc

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.

Fidelity Investments Charitable Gift FundMA6× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Lima Cares 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.

2023
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%6%13%19%25%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–25%
    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 17 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 2023, released 2023. 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 FY2023, the most recent year this funder’s grantee list reached the public record.

    Source object · view filing

    More from the funding graph