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Texas · Public charity

Texas Legislative Black Caucus Research & Education Alliance Fund

To research and address issues affecting african americans in the state of texas.

$5k
Granted FY2020
1
Grants FY2020
1
Organizations funded FY2020
Read the full brief
Median grant, FY2020
$5,000
Largest grant, FY2020
$5,000
States reached, FY2020
1
Total assets, FY2020
$592k

Top grantees

Largest recipients by total granted, FY2020 to FY2020, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Texas Legislative Study Group$5,0001n/a

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About Texas Legislative Black Caucus Research & Education Alliance Fund

How much does Texas Legislative Black Caucus Research & Education Alliance Fund give?
Texas Legislative Black Caucus Research & Education Alliance Fund reported 1 grants totaling $5,000 in its FY2020 IRS filing.
What does Texas Legislative Black Caucus Research & Education Alliance Fund fund?
By grant dollars over FY2020 to FY2020, its largest causes are Public Benefit (100%).
Who are Texas Legislative Black Caucus Research & Education Alliance Fund's largest grantees?
By total granted over FY2020 to FY2020: Texas Legislative Study Group ($5k).
Where is Texas Legislative Black Caucus Research & Education Alliance Fund based?
Texas Legislative Black Caucus Research & Education Alliance Fund is based in TX.

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 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2022) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

Source object · view filing

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