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New York · Public charity

New York City Foundation for Computer Science Education Inc D/B/A Csforall

Csforall's mission is to make high-quality computer science an integral part of the educational experience of all k-12 students and teachers in the united states and to support student pathways to college and career success.

$136k
Granted FY2023
4
Grants FY2023
4
Organizations funded FY2023
Read the full brief
Median grant, FY2023
$44,246
Largest grant, FY2023
$45,000
States reached, FY2023
4
Total assets, FY2023
$1.2M

Top grantees

Largest recipients by total granted, FY2023 to FY2023, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Miami Edtech Inc$45,00027%
Colorado School of Mines$44,2461n/a
College of St Scholastica Inc$41,74210%
Mitchell Kapor Foundation$5,1601n/a

Compare New York City Foundation for Computer Science Education Inc D/B/A Csforall with peer funders

About New York City Foundation for Computer Science Education Inc D/B/A Csforall

How much does New York City Foundation for Computer Science Education Inc D/B/A Csforall give?
New York City Foundation for Computer Science Education Inc D/B/A Csforall reported 4 grants totaling $136,148 in its FY2023 IRS filing.
What does New York City Foundation for Computer Science Education Inc D/B/A Csforall fund?
By grant dollars over FY2023 to FY2023, its largest causes are Employment (66%), Education (31%), Philanthropy (4%).
Who are New York City Foundation for Computer Science Education Inc D/B/A Csforall's largest grantees?
By total granted over FY2023 to FY2023: Miami Edtech Inc ($45k), Colorado School of Mines ($44k), College of St Scholastica Inc ($42k).
Where is New York City Foundation for Computer Science Education Inc D/B/A Csforall based?
New York City Foundation for Computer Science Education Inc D/B/A Csforall is based in NY.

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 4 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports $81k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2023, the most recent year this funder named its grantees.

Source object · view filing

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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home