Funders › DC › World Resources Institute › 2018
Grants paid by World Resources Institute, tax year 2018
EIN 52-1257057 · Washington, DC · Form 990, Schedule I · NTEE Q055
In tax year 2018, World Resources Institute (EIN 52-1257057) reported 27 grants paid totaling $3,560,352. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2018
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2018 | University of Maryland College Park, MD | A | $772,383 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Allotrope Partners LLC Oakland, CA | A | $433,297 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Rocky Mountain Institute Boulder, CO | A | $317,792 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Wildlife Conservation Society Bronx, NY | A | $289,434 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Brookings Institution Washington, DC | A | $246,700 | paid | Support envir and socially equitable decisions | 201942139349301054 |
| 2018 | Missouri Botanical Garden St Louis, MO | A | $244,012 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Sdsn Association Inc New York, NY | A | $159,500 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Pacific Institute Oakland, CA | A | $140,000 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Cdp North America Inc New York, NY | A | $120,050 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Tsinghua Education Foundation Menlo Park, CA | A | $118,192 | paid | Promote envir sustainable transport solutions | 201942139349301054 |
| 2018 | Climate Policy Initiative San Francisco, CA | A | $81,907 | paid | Support envir and socially equitable decisions | 201942139349301054 |
| 2018 | Resolve Inc Washington, DC | A | $75,000 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | The Aspen Institute Washington, DC | A | $74,045 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Rainforest Foundation New York, NY | A | $72,657 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Adventurers and Scientists for Conservation Bozeman, MT | A | $67,632 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | US Bcsd Austin, TX | A | $58,000 | paid | Support envir and socially equitable decisions | 201942139349301054 |
| 2018 | University of Maryland College Park, MD | A | $50,000 | paid | Program development | 201942139349301054 |
| 2018 | University of Maryland College Park, MD | A | $43,197 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Mongabay Org Corp Menlo Park, CA | A | $37,400 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Center for Carbon Removal Oakland, CA | A | $35,000 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | Elaw Eugene, OR | A | $31,500 | paid | Support envir and socially equitable decisions | 201942139349301054 |
| 2018 | International Food Policy Research Inst Washington, DC | A | $23,437 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | United Nations Development New York, NY | A | $22,304 | paid | Protect climate from greenhouse gas emissions | 201942139349301054 |
| 2018 | International Wood Products Association Alexandria, VA | A | $20,000 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Amazon Conservation Association Washington, DC | A | $14,978 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Stanford University Stanford, CA | A | $6,500 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
| 2018 | Jane Goodall Institute Vienna, VA | A | $5,435 | paid | Reverse rapid degradation of ecosystems | 201942139349301054 |
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.