funder-graph

FundersNYComputer Science Teachers Association LLC › 2024

Grants paid by Computer Science Teachers Association LLC, tax year 2024

EIN 27-0115816 · New York, NY · Form 990, Schedule I · NTEE B60

In tax year 2024, Computer Science Teachers Association LLC (EIN 27-0115816) reported 6 grants paid totaling $60,513. Dataset version 2026.09.0, built 2026-09-03.

202020212022202320242025

Every grant, 2024

Grants reported by Computer Science Teachers Association LLC for tax year 2024
Tax yearRecipientMatchAmountTypePurposeSource filing
2024Csta Arizona Tolleson, AZA$13,460paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511
2024Csta Miami North Miami, FLA$11,880paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511
2024Csta Greater Boston Littleton, MAA$11,123paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511
2024Csta Wi-Dairyland Shorewood, WIA$10,320paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511
2024Csta Mid-Hudson Valley Poughquag, NYA$8,550paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511
2024Csta Top of the World Anchorage, AKA$5,180paidSUPPORT FOR CHAPTER MEMBERSHIP AND EVENTS202511019349301511

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.