Funders › CA › Digital Green Foundation › 2019
Grants paid by Digital Green Foundation, tax year 2019
EIN 26-2418959 · San Francisco, CA · Form 990, Schedule I · NTEE B02
In tax year 2019, Digital Green Foundation (EIN 26-2418959) reported 5 grants paid totaling $1,428,972. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2019
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2019 | International Food Policy Research Institute Washington, DC | A | $1,087,903 | paid | FEED THE FUTURE DEVELOPING LOCAL EXTENSION CAPACITY | 202000459349300420 |
| 2019 | One Acre Fund Highland Park, IL | A | $117,898 | paid | FEED THE FUTURE DEVELOPING LOCAL EXTENSION CAPACITY | 202000459349300420 |
| 2019 | Care Atlanta, GA | A | $104,667 | paid | FEED THE FUTURE DEVELOPING LOCAL EXTENSION CAPACITY | 202000459349300420 |
| 2019 | Jsi Research & Training Institue Inc Boston, MA | A | $68,504 | paid | SUPPORTING DIGITAL GREEN'S AGRICULTURAL DEVELOPMENT APPROACH | 202000459349300420 |
| 2019 | Ideoorg San Francisco, CA | A | $50,000 | paid | FARMER ENGAGEMENT STRATEGY FOR ACCESS TO MARKET SERVICE | 202000459349300420 |
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.