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California · Public charity

American Federation of State County Municipal Employees Local 101

Serve the interest of members and encourage members to improve working conditions and protect them from unjust and unfair labor practice.

$24k
Granted FY2024(still arriving)
1
Itemized grants FY2024
1
Organizations funded FY2019
Read the full brief
Itemized, FY2024
$10k
The rest is grants the schedule does not break out
Median grant, FY2024
$10,000
Largest grant, FY2024
$10,000
States reached, FY2024
1
Total assets, FY2024
$1.5M
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2024.

Membership Benefit$11kPublic Benefit$10k

Top grantees

Largest recipients by total granted, FY2019 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
South Bay Afl-Cio Labor Council$11,00011%
City of San Jose$10,0001n/a

Compare American Federation of State County Municipal Employees Local 101 with peer funders

About American Federation of State County Municipal Employees Local 101

How much does American Federation of State County Municipal Employees Local 101 give?
American Federation of State County Municipal Employees Local 101 reported 1 itemized grants totaling $10,000, out of $24,200 in total grant expense reported on the return in its FY2024 IRS filing.
What does American Federation of State County Municipal Employees Local 101 fund?
By grant dollars over FY2019 to FY2024, its largest causes are Membership Benefit (52%), Public Benefit (48%).
Who are American Federation of State County Municipal Employees Local 101's largest grantees?
By total granted over FY2019 to FY2024: South Bay Afl-Cio Labor Council ($11k), City of San Jose ($10k).
Where is American Federation of State County Municipal Employees Local 101 based?
American Federation of State County Municipal Employees Local 101 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 2 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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