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· Public charity

Meals for Good Inc

To reduce food insecurity for all people living in New York City by increasing access and choice to culturally relevant healthy food.

$135k
Granted FY2025still arriving
6
Grants FY2025still arriving
1
States reached
$66k
Largest
01What it funds
01FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 6 grants below total $126,880, the rows itemized in this filing. The $135,491 headline is the total grant expense on the return; the other $8,611 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2025

  • Under $10k3 grants · $23k
  • $10k–50k2 grants · $38k
  • $50k–250k1 grant · $66k
$16,700
Median grant
1
States reached
$154k
Total assets
Largest grants
RecipientAmount
FINE FARE 3RD AVE$66,250
JD 710 FOOD CORP$20,920
Individual grant recipient$16,700
1239 FOOD CORP$8,970
BRA CORP$7,370
GARRIDO FOOD CORP$6,670
02Its field
02the grantee network

0 grantees tracked through their own filings, 2025–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2025 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 6 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

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

Where the money sits, by cause and then by grantee

FINE FARE 3RD AVE: $66,250 · OtherFINE FARE 3RD AVEJD 710 FOOD CORP: $20,920 · OtherJD 710 FOOD CORPIndividual grant recipient: $16,700 · OtherIndividual grant recipient1239 FOOD CORP: $8,970 · Other1239 FOOD CORPBRA CORP: $7,370 · OtherBRA CORPGARRIDO FOOD CORP: $6,670 · Other
Other$126,880

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

03Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Meals for Good Inc?

Find your warmest path to Meals for Good Inc 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 from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 6 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its 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.

Generated from the IRS Form 990 e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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