Funders › MI › Lansing Promise › 2025
Grants paid by Lansing Promise, tax year 2025
EIN 45-3363322 · Lansing, MI · Form 990, Schedule I · NTEE B82
In tax year 2025, Lansing Promise (EIN 45-3363322) reported 7 grants paid totaling $466,141. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2025
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Michigan State University East Lansing, MI | A | $185,207 | paid | Scholarships | 202522619349300102 |
| 2025 | Lansing Community College Lansing, MI | A | $146,227 | paid | Scholarships | 202522619349300102 |
| 2025 | United Way South Central Michigan Lansing, MI | A | $60,000 | paid | Readiness Initiatives | 202522619349300102 |
| 2025 | Bro Against Drugs Lansing, MI | A | $41,966 | paid | Readiness Initiatives | 202522619349300102 |
| 2025 | Lansing School District Lansing, MI | U | $21,491 | paid | Readiness Initiatives | 202522619349300102 |
| 2025 | Lansing Economic Area Partnership Lansing, MI | A | $5,750 | paid | Scholarships | 202522619349300102 |
| 2025 | Regents of University of Michigan Ann Arbor, MI | A | $5,500 | paid | Scholarships | 202522619349300102 |
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.