Grants paid by Muckrock Foundation Inc
EIN 81-1485228 · Boston, MA · Form 990, Schedule I · NTEE R60
Muckrock Foundation Inc of Boston, MA (EIN 81-1485228) reported 9 grants paid totaling $48,000 to 7 recipients in tax years 2022–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$48,000
9 grants
Recipients
7
distinct organizations
Tax years
2022–2024
3 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2022 | 1 | $7,000 | — |
| 2023 | 5 | $41,000 | — |
| 2024 | 3 | $0 | — |
Top recipients
The 7 recipients receiving the most from Muckrock Foundation Inc, by grants paid, out of 7 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Lucy Parsons Lab 81-3046769 | A | Chicago, IL | 1 | $20,000 | 2023 |
| Civic Lab 61-1710329 | A | Chicago, IL | 2 | $10,000 | 2023 |
| Correctional Association of New York 13-5562324 | A | Brooklyn, NY | 2 | $10,000 | 2024 |
| Defending Rights and Dissent 27-0042821 | A | Washington, DC | 1 | $5,000 | 2023 |
| Datamade 46-0596439 | A | Chicago, IL | 1 | $3,000 | 2023 |
| Center for Collaborative Investigative Journalism 84-4418797 | A | Grand Rapids, MI | 1 | $0 | 2024 |
| Informed California 84-4618329 | A | Vallejo, CA | 1 | $0 | 2024 |
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 9 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Center for Collaborative Investigative Journalism Grand Rapids, MI | A | $0 + $22,500 non-cash | paid | RESEARCH | 202533229349301338 |
| 2024 | Informed California Vallejo, CA | A | $0 + $15,500 non-cash | paid | RESEARCH | 202533229349301338 |
| 2024 | Correctional Association of New York Brooklyn, NY | A | $0 + $10,000 non-cash | paid | RESEARCH | 202533229349301338 |
| 2023 | Lucy Parsons Lab Chicago, IL | A | $20,000 | paid | Research | 202403119349300920 |
| 2023 | Correctional Association of New York Brooklyn, NY | A | $10,000 | paid | Research | 202403119349300920 |
| 2023 | Defending Rights and Dissent Washington, DC | A | $5,000 | paid | Research | 202403119349300920 |
| 2023 | Civic Lab Chicago, IL | A | $3,000 | paid | Research | 202403119349300920 |
| 2023 | Datamade Chicago, IL | A | $3,000 | paid | Research | 202403119349300920 |
| 2022 | Civiclab Chicago, IL | A | $7,000 | paid | Award | 202322789349300007 |
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 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202533229349301338 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202403119349300920 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202322789349300007 |
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/811485228.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.