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· Public charity

Fraternal Order of Police 2 Volunteer Lodge

To promote personal and efficient cooperation, so that the public may be better served in the consideration of law enforcement, to advance social, charitable and educational understanding among law enforcement officers, to more effectively combat crime through unity and concerted action in all matters pertaining to law enforcement.

$86k
Granted FY2024still arriving
2
Grants FY2024still arriving
1
States reached
$82k
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, FY2023 to 2024.

Crime & Legal$200k
02FY2024 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k1 grant · $4k
  • $50k–250k1 grant · $82k
$82,038
Median grant
1
States reached
$986k
Total assets
Largest grants
RecipientAmount
TENNESSEE STATE FOP$82,038
Individual grant recipient$4,399
02Its field
03the grantee network

0 grantees tracked through their own filings, 2023–2024.

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

How this is measured

Counted here: distinct organizations funded across 2023 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 2 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

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.

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 2 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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