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Washington, D.C. · Public charity

Data Coalition

To work for the enactment of federal and state laws, to advance the common business interests of the coalitions members and to support and promote federal entities to standardize machine-readable data

$25k
Granted FY2017
1
Grants FY2017
1
Organizations funded FY2017
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Median grant, FY2017
$25,000
Largest grant, FY2017
$25,000
States reached, FY2017
1

Top grantees

Largest recipients by total granted, FY2017 to FY2017, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
The Data Foundation Inc$25,00017%

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About Data Coalition

How much does Data Coalition give?
Data Coalition reported 1 grants totaling $25,300 in its FY2017 IRS filing.
What does Data Coalition fund?
By grant dollars over FY2017 to FY2017, its largest causes are Public Benefit (100%).
Who are Data Coalition's largest grantees?
By total granted over FY2017 to FY2017: The Data Foundation Inc ($25k).
Where is Data Coalition based?
Data Coalition 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 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2020) is on record and reports no grant expense, so the figures above are from FY2017, the most recent year this funder made grants.

Source object · view filing

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