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Rhode Island · Public charity

English for Action

ENGLISH FOR ACTION's (efa) mission is to create opportunities for the self-empowerment of immigrant families in rhode island. Through participatory english language, childcare, and other educational programs, we link language learning, leadership development and community-building. We use innovative learning tools, such as the visual…

$10k
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
Read the full brief
Median grant, FY2019
$10,000
Largest grant, FY2019
$10,000
States reached, FY2019
1

Top grantees

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

GranteeTotal grantedYearsShare of their budget
Olneyville Neighborhood Association$10,0001n/a

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How do I get to English for Action?

Find your warmest path to English for Action 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 English for Action

How much does English for Action give?
English for Action reported 1 grants totaling $10,000 in its FY2019 IRS filing.
What does English for Action fund?
By grant dollars over FY2019 to FY2019, its largest causes are Civil Rights (100%).
Who are English for Action's largest grantees?
By total granted over FY2019 to FY2019: Olneyville Neighborhood Association ($10k).
Where is English for Action based?
English for Action is based in RI.

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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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