funder-graph › Recipients
Who funds Good Jobs Institute
EIN 82-0730634 · Cambridge, MA · NTEE B02
Good Jobs Institute of Cambridge, MA (EIN 82-0730634) was named as a grant recipient by 6 funders in 9 grants paid totaling $1,809,500 in tax years 2020–2024, as reported on the funders' Forms 990-PF and 990 Schedule I. Each edge was resolved to this EIN at the match tier shown. Dataset version 2026.09.0, built 2026-09-03.
Grants received
$1,809,500
9 grants paid
Funders
6
distinct grantmakers
Tax years
2020–2024
as reported by funders
Approved for future payment
$600,000
not included in grants received
Funders
| Funder | State | Match | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| The Ford Foundation 13-1684331 | NY | B | 2 | $1,150,000 | 2022 |
| Amalgamated Charitable Foundation Inc 82-1517696 | DC | A | 1 | $400,000 | 2024 |
| Just Capital Foundation Inc 36-4764467 | NY | A | 3 | $222,000 | 2024 |
| Make It Better Foundation 27-0773475 | IL | C | 1 | $25,000 | 2024 |
| The Aspen Institute Inc 84-0399006 | DC | A | 1 | $10,000 | 2023 |
| Lee Bank Foundation Inc 86-1211806 | MA | D | 1 | $2,500 | 2022 |
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.
Grants
The 10 most recent grants naming this organization.
| Tax year | Funder | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|---|
| 2024 | Amalgamated Charitable Foundation Inc | Good Jobs Institute Cambridge, MA | A | $400,000 | paid | General operating support | 202543179349307759 |
| 2024 | Just Capital Foundation Inc | Good Jobs Institute Cambridge, MA | A | $25,000 | paid | PARTNERING WITH JUST CAPITAL AS AN "IMPACT PARTNER" ON IT'S CORPORATE IMPACT LAB AND ASSOCIATED ACTIVITIES. BRINGING EXPERTISE TO BEAR ON CRITICAL WORKFORCE ISSUES. | 202501759349301025 |
| 2024 | Make It Better Foundation | Good Jobs Institute Cambridge, MA | C | $25,000 | paid | Unrestricted Charitable Donation | 202501559349100805 |
| 2023 | The Aspen Institute Inc | Good Jobs Institute Cambridge, MA | A | $10,000 | paid | ECONOMIC OPPORTUNITIES PROGRAM (EOP) GRANT | 202412899349300321 |
| 2022 | The Ford Foundation | Good Jobs Institute Inc Cambridge, MA | B | $850,000 | paid | GENERAL SUPPORT | 202343199349104934 |
| 2022 | Just Capital Foundation Inc | Good Jobs Institute Cambridge, MA | A | $38,000 | paid | WORKER FINANCIAL WELLNESS INITIATIVE | 202322649349301202 |
| 2022 | Lee Bank Foundation Inc | Good Work Institute Inc Kingston, MA | D | $2,500 | paid | EXEMPT PURPOSE | 202321929349100827 |
| 2021 | Just Capital Foundation Inc | Good Jobs Institute Cambridge, MA | A | $159,000 | paid | WORKER FINANCIAL WELLNESS INITIATIVE | 202222209349300042 |
| 2020 | The Ford Foundation | Good Jobs Institute Inc Cambridge, MA | B | $600,000 | approved, future | General Support | 202123199349107292 |
| 2020 | The Ford Foundation | Good Jobs Institute Inc Cambridge, MA | B | $300,000 | paid | General Support | 202123199349107292 |
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 inferred and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990-PF and Form 990 Schedule I e-file XML filed by the funders shown; this organization's identity from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The rows as Parquet: manifest.
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.