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Minnesota · Public charity

Bagley Fire Department Relief Associatio

To provide benefits for retiring volunteer firefighters and support the local volunteer fire department.

$7k
Granted FY2023
1
Grants FY2023
1
Organizations funded FY2023
Read the full brief
Median grant, FY2023
$6,834
Largest grant, FY2023
$6,834
States reached, FY2023
1
Total assets, FY2023
$779k

Top grantees

Largest recipients by total granted, FY2023 to FY2023, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
City of Bagley$6,8341n/a

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How do I get to Bagley Fire Department Relief Associatio?

Find your warmest path to Bagley Fire Department Relief Associatio 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.

About Bagley Fire Department Relief Associatio

How much does Bagley Fire Department Relief Associatio give?
Bagley Fire Department Relief Associatio reported 1 grants totaling $6,834 in its FY2023 IRS filing.
What does Bagley Fire Department Relief Associatio fund?
By grant dollars over FY2023 to FY2023, its largest causes are Public Safety & Disaster (100%).
Who are Bagley Fire Department Relief Associatio's largest grantees?
By total granted over FY2023 to FY2023: City of Bagley ($7k).
Where is Bagley Fire Department Relief Associatio based?
Bagley Fire Department Relief Associatio is based in MN.

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 1 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 no grant expense, so the figures above are from FY2023, the most recent year this funder made grants.

Source object · view filing

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By state
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