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California · Public charity

American Federation of Teachers 1603 Peralta

collective bargaining representation

$7k
Granted FY2022
1
Grants FY2022
1
Organizations funded FY2022
Read the full brief
Median grant, FY2022
$6,598
Largest grant, FY2022
$6,598
States reached, FY2022
1
Total assets, FY2022
$2.1M

Top grantees

Largest recipients by total granted, FY2022 to FY2022, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
American Federation of Labor & Alameda Labor Council$6,59811%

Compare American Federation of Teachers 1603 Peralta with peer funders

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How do I get to American Federation of Teachers 1603 Peralta?

Find your warmest path to American Federation of Teachers 1603 Peralta 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 American Federation of Teachers 1603 Peralta

How much does American Federation of Teachers 1603 Peralta give?
American Federation of Teachers 1603 Peralta reported 1 grants totaling $6,598 in its FY2022 IRS filing.
What does American Federation of Teachers 1603 Peralta fund?
By grant dollars over FY2022 to FY2022, its largest causes are Employment (100%).
Who are American Federation of Teachers 1603 Peralta's largest grantees?
By total granted over FY2022 to FY2022: American Federation of Labor & Alameda Labor Council ($7k).
Where is American Federation of Teachers 1603 Peralta based?
American Federation of Teachers 1603 Peralta 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 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2022, the most recent year this funder made grants.

Source object · view filing

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