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California · Public charity

Law Enforcement Managers Association

promoting a positive law enforcement image to the public, Provide representation for the membership in matters related to conditions of their employment better the working conditions of its members.

$10k
Granted FY2025(still arriving)
1
Grants FY2025
Read the full brief
Median grant, FY2025
$10,250
Largest grant, FY2025
$10,250
States reached, FY2025
1
Total assets, FY2025
$761k

Top grantees

Largest recipients by total granted, FY2025 to FY2025, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Sacramento County Sheriffs Foundation$10,25015%

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How do I get to Law Enforcement Managers Association?

Find your warmest path to Law Enforcement Managers Association 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 Law Enforcement Managers Association

How much does Law Enforcement Managers Association give?
Law Enforcement Managers Association reported 1 grants totaling $10,250 in its FY2025 IRS filing.
What does Law Enforcement Managers Association fund?
By grant dollars over FY2025 to FY2025, its largest causes are Crime & Legal (100%).
Who are Law Enforcement Managers Association's largest grantees?
By total granted over FY2025 to FY2025: Sacramento County Sheriffs Foundation ($10k).
Where is Law Enforcement Managers Association based?
Law Enforcement Managers Association is based in CA.

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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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