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· Public charity

Long Island Abate Inc

Promote motorcycle safety and awareness raise funds for veterans, needy children, and other worthy charitable causes

$85k
Granted FY2023
1
Grants FY2023
1
States reached
$5k
Largest
01What it funds
0190% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2023.

Human Services$72kHealth$10kReligion$7kArts & Culture$6kEducation$6kPublic Benefit$6kOther$0
02FY2023 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $5,000, the rows itemized in this filing. The $84,623 headline is the total grant expense on the return; the other $79,623 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.
$5,000
Median grant
1
States reached
$72k
Total assets
Largest grants
RecipientAmount
ST MARY'S EPISCOPAL CHURCH$5,000
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:

Its human-services grants (FY20–20, $5k) land where the poverty rate runs at 7%, against an area that typically sits at 5%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 5%UNITED VETERANS BEACON HOUSE: $5k → 7%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

2 grantees tracked through their own filings, 2017–2025.

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

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 2 of the 18 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)
2/2
Grantees still filing
1/2
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $17,500 · OtherIndividual grant recipientST MARY'S EPISCOPAL CHURCH: $11,000 · OtherST MARY'S EPISCOPAL CHURCHVFW POST 6249 ROCKY POINT: $11,000 · OtherVFW POST 6249 ROCKY POINTVVA CHAPTER 11: $8,000 · OtherVVA CHAPTER 11VIETNAM VETERANS OF AMERICA CHAPTER 11: $7,500 · OtherVIETNAM VETERANS OF AMERICA CHAPTER 11VIETNAM VETS CH 11: $7,500 · OtherVIETNAM VETS CH 11CHURCH OF ST MARYS: $6,500 · OtherROLLING THUNDER NY6: $6,000 · OtherPHONIX HOUSE: $6,000 · OtherIN JORDANS HONOR LTD: $6,000 · OtherSPC MATTHEW BAYLIS MEMORIAL FD: $6,000 · OtherIndividual grant recipient: $5,500 · OtherAMERICAN LEGION GREENLAWN POST 1244 INC: $5,500 · OtherAMERICAN LEGION RIDERS POST 1244 GREENLAWN: $5,000 · OtherCOALITION OF FATERNAL AND VETERANS ORGANIZATIONA: $5,000 · OtherDEPARTMENT OF VETERANS AFFAIRS MEDICAL CENTER NORTHPORT: $5,000 · OtherVA MED CTR NORTHPORT: $5,000 · OtherUnited Veterans Beacon House Inc: $5,000 · Human Services
Other$124,000Human Services$5,000

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

25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetAMERICAN LEGION GREENLAWN POST 1244 INC: $5,500 over 1y, 8.2% of budgetUnited Veterans Beacon House Inc: $5,000 over 1y, 0.1% of 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.

  • Who funds AMERICAN LEGION GREENLAWN POST 1244 INC ↗
  • Who funds United Veterans Beacon House Inc ↗

How much its grantees rely on government

Each dot is one organization Long Island Abate Inc funds: left to right is the share of its income from government, bottom to top the share from Long Island Abate Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%3%6%10%funder's 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
    0rely on government for over half their income
    ⤢ axis zoomed · 0–75%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    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 18 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record and reports $119k 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 FY2023, the most recent year this funder named its grantees.

    Source object · view filing

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