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Plinth

· Public charity

Latino Commission on AIDS

To develop and promulgate a strategy to address the aids epidemic within the latino community.

$329k
Granted FY2025still arriving
26
Grants FY2025still arriving
2
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 FY20172025.

Health$2.5MReligion$872kCommunity Improvement$47kArts & Culture$15kYouth Development$15k
02FY2025 · 26 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • Under $10k3 grants · $22k
  • $10k–50k23 grants · $303k
$13,200
Median grant
2
States reached
$3.1M
Total assets
Largest grants
RecipientAmount
IGLESIA DE LA SANTA CRUZCHURCH OF$13,800
CHURCH OF SAINT JEROME$13,800
ALL SAINTS LUTHERAN CHURCH UNIDAD$13,800
PRIMITIVE CHRISTIAN CHURCH VISION$13,600
ST MARK'S EPISCOPAL CHURCH$13,200
IGLESIA METODISTA UNIDA SAN ESTEBAN$13,200
CHRIST CHURCH IMPACTO$13,200
CHURCH OF GOD THIRD AVENUE$13,200
HOLYROOD ESPICOPAL CHURCH$13,200
CHRIST CHURCH WASHINGTON HEIGHTS$13,200
CHURCH OF THE HOLY SPIRIT$13,200
CO-OP CITY UNITED METHODIST CHURCH$13,200
PARK SLOPE CHRISTIAN TABERNACLE$13,200
ST SIMON STOCK R CATHOLIC CHURCH$13,200
STA HELENA CHURCH$13,200
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 (FY17–23, $54k) land where the poverty rate runs at 28%, against an area that typically sits at 13%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 13%MUSLIM WOMENS INSTITUTE FOR R&D: $15k → 28%MUSLIM WOMENS INSTITUTE FOR R&D: $12k → 28%MUSLIM WOMENS INSTITUTE FOR R&D: $12k → 28%BRONX BETHANY COMMUNITY CORPORATION: $15k → 28%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.

84%of every dollar goes to organizations you’ve funded before.
$2.9M · 38 repeat orgs$543k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +1887% since the first grant, against +35% for the ones you funded once.

38 repeat relationships — 23 still active in FY2025, 15 since wound down; 3 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

38
19

Total granted

$2.9M
$517k

Median revenue growth · since first grant

+1887%
+35%

Still filing today

5%
16%

New vs renewed · share of each year

In FY2025, 92% of grant dollars renewed an existing relationship; $27k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

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

’17’18’19’20’21’22’23’24’25
Community ImprovementHuman ServicesHealthPhilanthropyOther

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

  • IM
    IGLESIA METODISTA UNIDA SAN ESTEBAN
    9× · 2017–2025 · $131k
  • ID
    IGLESIA DE LA SANTA CRUZ
    9× · 2017–2025 · $130k
  • SS
    ST SIMON STOCK R CATHOLIC CHURCH
    9× · 2017–2025 · $130k

Funded once

  • MS
    MOUNT SINAI HOSPITAL
    one grant, 2019 · $189k
  • BI
    BETH ISRAEL MEDICAL CENTER
    one grant, 2019 · $95k · revenue +18%
  • BT
    BIBLE TRUTH CHURCH OF GOD INTERNATIONAL INC
    one grant, 2023 · $15k

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

04Your field

Your grantees are a median of 40 years old; the field is 16. You back the established end — and your money leans older still.

THE FIELDby orgYOUR GRANTEESby number20%4%<5yr15%7%5–10yr21%4%10–20yr22%22%20–35yr13%33%35–55yr9%30%55yr+
THE FIELDby orgYOUR MONEYby value20%1%<5yr15%2%5–10yr21%1%10–20yr22%15%20–35yr13%36%35–55yr9%45%55yr+

The field is 20% startups (under 5 years old) — 4% of your grantees by number, and just 1% of your money.

Closures · last 5 years

The orgs you fund almost never close 0.0% lost their exemption, against 11% of the field you don’t fund.

orgs you fund
0.0%0/56
the rest of the field
11%
4,574/40,179

Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.

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 60 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)
3
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

MOUNT SINAI HOSPITAL — $189,008 · OtherMOUNT SINAI HOSPITALIGLESIA METODISTA UNIDA SAN ESTEBAN — $130,700 · OtherIGLESIA DE LA SANTA CRUZ — $129,700 · OtherST SIMON STOCK R CATHOLIC CHURCH — $129,500 · OtherCOM UNITED METHODIST C JACKSON HEI — $128,900 · OtherCO-OP CITY UNITED METHODIST CHURCH — $128,500 · OtherUNITED METHODIST CHURCH OF CORONA — $127,700 · OtherCHURCH OF GOD THIRD AVENUE — $116,800 · OtherIGLESIA METODISTA LIBRE EL REMANENTE — $112,300 · Other+45 more — $1,978,262 · Other+45 moreVISION URBANA INC — $111,500 · Community ImprovementEL CENTRO HISPANO INC — $5,200 · Community ImprovementBETH ISRAEL MEDICAL CENTER — $94,999 · HealthMUSLIM WOMEN'S INSTITUTE FOR RESEARCH AND DEVELOPMENT — $38,900 · Human ServicesBRONX BETHANY COMMUNITY CORPORATION — $15,000 · Human ServicesLatino Community Fund Inc — $6,750 · Philanthropy
Other$3,171,370Community Improvement$116,700Health$94,999Human Services$53,900Philanthropy$6,750

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetVISION URBANA INC — $111,500 over 9y, 10% of budgetBETH ISRAEL MEDICAL CENTER — $94,999 over 1y, 0.0% of budgetMUSLIM WOMEN'S INSTITUTE FOR RESEARCH AND DEVELOPMENT — $38,900 over 3y, 8.1% of budgetBRONX BETHANY COMMUNITY CORPORATION — $15,000 over 1y, 10% of budgetLatino Community Fund Inc — $6,750 over 1y, 0.3% of budgetEL CENTRO HISPANO INC — $5,200 over 1y, 0.3% 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 VISION URBANA INC
  • Who funds BETH ISRAEL MEDICAL CENTER
  • Who funds MUSLIM WOMEN'S INSTITUTE FOR RESEARCH AND DEVELOPMENT

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.

Food Bank for New York CityNY24× affinity10 shared granteesties to 9 of 9Hover any node to trace its alignments.Compare side by side →

Open a dossier: Food Bank for New York City · City Harvest Inc · Hispanic Federation Inc · United Way of New York City · New York Landmarks Conservancy Inc · Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · American Online Giving Foundation Inc · 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 Latino Commission on AIDS 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%1%4%8%15%your share of their income ↑0%19%38%56%75%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–75%
    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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Latino Commission on AIDS?

    Find your warmest path to Latino Commission on AIDS through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    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 60 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 e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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