Grants paid by The Reading Institute
EIN 93-4843895 · New York, NY · Form 990, Schedule I · NTEE B90
The Reading Institute of New York, NY (EIN 93-4843895) reported 7 grants paid totaling $0 to 6 recipients in tax years 2024–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$0
7 grants
Recipients
6
distinct organizations
Tax years
2024–2025
2 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2024 | 4 | $0 | — |
| 2025 | 3 | $0 | — |
Top recipients
The 6 recipients receiving the most from The Reading Institute, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Goshen University 35-2158366 | A | Goshen, IN | 1 | $0 | 2024 |
| University of Maryland 52-6002033 | A | College Park, MD | 1 | $0 | 2024 |
| Throughline Learning 22-3115046 | A | Providence, RI | 1 | $0 | 2025 |
| Eastern Oregon University 47-2967284 | A | La Grande, OR | 1 | $0 | 2024 |
| Ashland University 34-0714626 | A | Ashland, OH | 1 | $0 | 2025 |
| Research Foundation of the City University of New York 13-1988190 | A | New York, NY | 2 | $0 | 2025 |
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.
Every grant
All 7 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Ashland University Ashland, OH | A | $0 + $5,148 non-cash | paid | DONATED PROGRAM KITS TO IMPLEMENT HIGH IMPACT TUTORING PROGRAMS | 202621339349305287 |
| 2025 | Throughline Learning Providence, RI | A | $0 + $6,720 non-cash | paid | DONATED PROGRAM KITS TO IMPLEMENT HIGH IMPACT TUTORING PROGRAMS | 202621339349305287 |
| 2025 | Research Foundation of the City University of New York New York, NY | A | $0 + $109,963 non-cash | paid | DONATED PROGRAM KITS TO IMPLEMENT HIGH IMPACT TUTORING PROGRAMS | 202621339349305287 |
| 2024 | Research Foundation of the City University of New York New York, NY | A | $0 + $123,338 non-cash | paid | SUPPORT HIGH IMPACT TUTORING WITH FIDELITY | 202512899349300136 |
| 2024 | Goshen University Goshen, IN | A | $0 + $5,443 non-cash | paid | SUPPORT HIGH IMPACT TUTORING WITH FIDELITY | 202512899349300136 |
| 2024 | Eastern Oregon University La Grande, OR | A | $0 + $6,787 non-cash | paid | SUPPORT HIGH IMPACT TUTORING WITH FIDELITY | 202512899349300136 |
| 2024 | University of Maryland College Park, MD | A | $0 + $9,746 non-cash | paid | SUPPORT HIGH IMPACT TUTORING WITH FIDELITY | 202512899349300136 |
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.
Source filings
Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2025 | 2025-06-30 | not stated | 2025v4.1 | 202621339349305287 |
| 990 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202512899349300136 |
Derived from IRS Form 990 e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/934843895.json.
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.