Funders › DC › Center for Applied Linguistics › 2019
Grants paid by Center for Applied Linguistics, tax year 2019
EIN 52-0807619 · Washington, DC · Form 990, Schedule I
In tax year 2019, Center for Applied Linguistics (EIN 52-0807619) reported 7 grants paid totaling $747,364. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2019
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2019 | Georgetown University Washington, DC | A | $487,161 | paid | INSTRUCTION | 202022289349300807 |
| 2019 | Institute for International Education Washington, DC | A | $97,900 | paid | SCHOLARSHIPS | 202022289349300807 |
| 2019 | The University of Maryland College Park, MD | A | $53,947 | paid | RESEARCH | 202022289349300807 |
| 2019 | Edge Studio New York, NY | A | $42,605 | paid | GRAPHIC ARTIST | 202022289349300807 |
| 2019 | Illuminated LLC Alexandria, VA | A | $26,669 | paid | PROGRAM SUPPORT | 202022289349300807 |
| 2019 | Sri International Menlo Park, CA | A | $24,082 | paid | RESEARCH PROJECT EVALUATION SERVICES | 202022289349300807 |
| 2019 | World Data Washington, DC | A | $15,000 | paid | TECHNICAL SUPPORT | 202022289349300807 |
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.