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Washington, D.C. · Public charity

Operation Understanding of the District of Columbia

Oudc's mission is to create a generation of community leaders who promote respect, understanding and cooperation while fighting to eradicate racism, anti-semitism and all forms of discrimination.

$150k
Granted FY2023
1
Grants FY2023
1
Organizations funded FY2023
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Median grant, FY2023
$150,000
Largest grant, FY2023
$150,000
States reached, FY2023
1
Total assets, FY2023
$397k

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
George Mason University$150,0001n/a

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About Operation Understanding of the District of Columbia

How much does Operation Understanding of the District of Columbia give?
Operation Understanding of the District of Columbia reported 1 grants totaling $150,000 in its FY2023 IRS filing.
What does Operation Understanding of the District of Columbia fund?
By grant dollars over FY2023 to FY2023, its largest causes are Civil Rights (100%).
Who are Operation Understanding of the District of Columbia's largest grantees?
By total granted over FY2023 to FY2023: George Mason University ($150k).
Where is Operation Understanding of the District of Columbia based?
Operation Understanding of the District of Columbia is based in DC.

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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