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· Public charity

Union Settlement Association Inc

Union settlement association creates opportunity in east harlem by offering comprehensive programs that help underserved residents improve their skills and build better lives for themselves and their families.

$1.5M
Granted FY2022
23
Grants FY2022
1
States reached
$20k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2022.

Human Services$2.8MCommunity Improvement$303kFood & Nutrition$180kHealth$72kRecreation & Sports$15k
02FY2022 · 23 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 23 grants below total $303,400, the rows itemized in this filing. The $1,467,420 headline is the total grant expense on the return; the other $1,164,020 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 · FY2022

  • Under $10k8 grants · $58k
  • $10k–50k15 grants · $245k
$12,000
Median grant
1
States reached
$25M
Total assets
Largest grants
RecipientAmount
LARSTASO LLC$20,000
DISFRUTING LLC$20,000
BF SOUL FOOD RESTAURANT NYC INC$20,000
MRS AN THAI INC$20,000
AKBAR ALI DBA INDO PAK HALAL RESTAURANT$20,000
CHARLIE'S PLACE I INC$20,000
ENYC RESTAURANT GROUP LLC$20,000
CA NAIL SALON INC$19,200
LECHONERA LA ISLA INC$16,000
LASH OUT LASHES NYC$12,400
ABV NY LLC DBA THE ROCHARD NYC$12,300
DIFFERENT NOT ALIKE$12,000
GUAJILLO RESTAURANT CORP$11,700
SUKSUMRAN INC$11,300
NEW MOONLIGHT NAIL SALON LTD$10,500
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY20–22) land where the poverty rate runs at 17%, against an area that typically sits at 12%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%LIGHTHOUSE FISH MARKET: $18k → 17%BF SOUL FOOD RESTAURANT NYC INC: $20k → 17%FOOD SIN FRONTERAS: $20k → 17%EL BARRISTA CAFE: $20k → 17%DAPS VENTURES INC: $20k → 17%BARCHA PIZZA INC DBA BARCHA: $20k → 17%CHARLIE'S PLACE I INC: $20k → 17%VIDIGAL NYC LLC: $18k → 17%CASA AZUL GROUP INC DBA BISTRO CASA AZUL: $18k → 17%EDWARD RODWELL DBA AMUSE BOUCHE NYC: $18k → 17%EL SAN JUAN RESTAURANT: $18k → 17%LADYS SEAFOOD &SOUL FOOD INC: $18k → 17%SUPER NICE COFFEE AND BAKERY LLC: $18k → 17%2 LEGENDS LLC: $18k → 17%LIZZIE FRUITS DELI & GROCERY: $18k → 17%AHMAD GROUP INC DBA AHMAD PACK N SHIP: $16k → 17%1569 LEX CAFE CORP: $34k → 17%EL PASO TAQUERIA CORP DBA EL PASO CAFE CORP: $32k → 17%ANTWERP B LLC: $20k → 17%FFRC INC DBA TRIPLEARESTAURANT: $20k → 17%LA GUADALUPE RESTAURANT CORP: $20k → 17%LARSTASO LLC: $20k → 17%GINJAN BROS LLC: $20k → 17%DISFRUTING LLC: $20k → 17%AKBAR ALI DBA INDO PAK HALAL RESTAURANT: $20k → 17%ENYC RESTAURANT GROUP LLC: $20k → 17%MRS AN THAI INC: $20k → 17%CA NAIL SALON INC: $19k → 17%G'S CAFE GROUP INC: $18k → 17%ITALIAN FOOD PHILOSOPHY LLC DBA DELL ARIA: $18k → 17%TEDDY'S F&B DBA AC GMG LLC: $18k → 17%HESTIANYC CORP DBA BAKED CRAVINGS: $18k → 17%ISLAND BITES INC: $18k → 17%BANGKLYN CORPORATION: $18k → 17%JZG BEAUTY SALON INC: $18k → 17%ANTWERP J LLC: $18k → 17%ROCKSONS CORP: $18k → 17%OCELOTI DINER CORP: $18k → 17%EDDIE'S PIZZA & TAQUERIA CORP: $18k → 17%SRIJANA GHISHING DBA SATHI NAIL SPA: $18k → 17%PABADE BAKERY LLC: $18k → 17%MYNY BAKERY CAFE LLC: $18k → 17%AZTECA WESTERN WEAR CORP: $18k → 17%99C STAR DISCOUNT INC: $18k → 17%PLAY UP STUDIO LLC: $17k → 17%SWEET VEGAN LLC: $17k → 17%EAST HARLEM BOTTLING CO: $17k → 17%LETS SMILE DENTAL PC: $16k → 17%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field
04the grantee network

1 grantees tracked through their own filings, 2021–2022.

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

How this is measured

Counted here: distinct organizations funded across 2021 to 2022, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 253 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)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

+200 more: $3,002,500 · Other+200 more
Other$3,002,500

Showing the 200 largest grantees by grant value.

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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Local Initiatives Support CorporationNY4× affinity11 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Local Initiatives Support Corporation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

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 253 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 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports $505k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2022, the most recent year this funder named its grantees.

Source object · view filing

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