NTEE code, primary
C20: Pollution Abatement and Control Services
Number of grants received
≥ 1
- Funding details for 841 organizations
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Open this search in Cause IQ's foundation search tool to download lists of these foundations and grants. Also filter by foundation and grant characteristics to isolate the specific foundation types that matter to you.
Open in foundation searchTop funder details
The table below shows foundations that have confirmed grants to the 841 organizations matching this search. For each grantmaker we've confirmed providing grants, we also show how many grants they made to organizations within this search, the average grant size, and the smallest and largest grant sizes. The sum total of grants is specific to grants the grantmaker made to organizations matching this search.
| Funder | Grants made | Average grant size | Sum of all grants | Smallest grant size | Largest grant size | Grants |
|---|
| AmazonSmile Foundation | 483 | $372 | $179,603 | $5 | $91,460 | View grants |
| Fidelity Investments Charitable Gift Fund | 134 | $312,419 | $41,864,144 | $6,200 | $20,000,000 | View grants |
| Schwab Charitable Fund | 102 | $94,180 | $9,606,398 | $5,150 | $1,500,000 | View grants |
| Subscribe to view | 71 | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 53 | $â–‘,â–‘â–‘â–‘ | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘ | $â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 52 | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 52 | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 50 | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘â–‘ | $â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 43 | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 37 | $â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘ | $â–‘,â–‘â–‘â–‘,â–‘â–‘â–‘ | |
Top grant details
The table below shows the largest 25 grants made to the 841 organizations matching this search.
| Amount | Grantmaker | Recipient | Date | Description |
|---|
| $128,000,000 | Goldman Sachs Philanthropy Fund (GSPF) | ClimateWorks Foundation | 2022-12 | Environment & Animal Protection |
| $94,388,000 | Marine Preservation Association | Marine Spill Response Corporation (MSRC) | 2022-12 | Oil Spill Response |
| $47,700,000 | Clean Air Now Coalition | Clean Air California | 2022-12 | General Support |
| $40,445,000 | Subscribe to view | Subscribe to view | ██-█ | █████ █████ █ ██ ███ |
| $40,003,537 | Subscribe to view | Subscribe to view | ██-█ | ████ █████ ████ |
| $36,000,000 | Subscribe to view | Subscribe to view | ██-█ | ████ █████ ███ |
| $35,947,646 | Subscribe to view | Subscribe to view | ██-█ | ████ ████ |
| $20,086,947 | Subscribe to view | Subscribe to view | ██-█ | ███, ████ ███ |
| $20,000,000 | Subscribe to view | Subscribe to view | ██-█ | █ ███ ███ ██████ ██ █ ██ █████ █ ██ █ ██ |
| $20,000,000 | Subscribe to view | Subscribe to view | ██-█ | ██ ███ ██████ ███ ████ |
To see additional grants, click the "View grants" link on the right side of a specific grantmaker, in the funder table above
Types
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘ â–‘ â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
Location
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘ â–‘ â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
Total revenues
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
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- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
Issues
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘ â–‘ â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
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NTEE code, primary
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘ â–‘ â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
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Number of grants received
- â–‘â–‘â–‘ â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘ â–‘ â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
- â–‘â–‘â–‘â–‘â–‘â–‘ â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘
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