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Tennessee · Public charity

Memphis-Shelby County Law Enforcement Foundation Inc

To provide private sector support to supplement the efforts of our law enforcement in shelby county, tn and to create and sustain safe neighborhoods/communities for our residents

$57k
Granted FY2025(still arriving)
2
Itemized grants FY2025
3
Organizations funded FY2024
Read the full brief
Itemized, FY2025
$52k
The rest is grants the schedule does not break out
Median grant, FY2025
$35,711
Largest grant, FY2025
$35,711
States reached, FY2025
1
Total assets, FY2025
$175k
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2024 to 2025.

Crime & Legal$46kPublic Safety & Disaster$36kFood & Nutrition$25k

Top grantees

Largest recipients by total granted, FY2024 to FY2025, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
City of Germantown$45,7112n/a
Agricenter International Inc$25,00010%
City of Memphis$20,2352n/a
Memphis-Shelby County$16,1861n/a

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About Memphis-Shelby County Law Enforcement Foundation Inc

How much does Memphis-Shelby County Law Enforcement Foundation Inc give?
Memphis-Shelby County Law Enforcement Foundation Inc reported 2 itemized grants totaling $51,897, out of $56,898 in total grant expense reported on the return in its FY2025 IRS filing.
What does Memphis-Shelby County Law Enforcement Foundation Inc fund?
By grant dollars over FY2024 to FY2025, its largest causes are Crime & Legal (43%), Public Safety & Disaster (33%), Food & Nutrition (23%).
Who are Memphis-Shelby County Law Enforcement Foundation Inc's largest grantees?
By total granted over FY2024 to FY2025: City of Germantown ($46k), Agricenter International Inc ($25k), City of Memphis ($20k).
Where is Memphis-Shelby County Law Enforcement Foundation Inc based?
Memphis-Shelby County Law Enforcement Foundation Inc is based in TN.

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 4 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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