NTEE code, primary
G40: Diseases of Specific Organs
Number of grants received
≥ 1
- Funding details for 1,426 organizations
Want to see more details and download lists?
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 1,426 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 | 1,033 | $500 | $516,412 | $5 | $113,379 | View grants |
| Fidelity Investments Charitable Gift Fund | 428 | $110,334 | $47,222,906 | $6,000 | $4,077,433 | View grants |
| The Bank of America Charitable Foundation | 313 | $10,040 | $3,142,621 | $10 | $2,500,000 | View grants |
| Subscribe to view | 201 | $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 | 176 | $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 | 130 | $â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘ | $â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 109 | $â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 95 | $â–‘â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | $â–‘â–‘ | $â–‘â–‘,â–‘â–‘â–‘ | |
| Subscribe to view | 84 | $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 | 79 | $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 1,426 organizations matching this search.
| Amount | Grantmaker | Recipient | Date | Description |
|---|
| $23,421,900 | Bloomberg Philanthropies | Vital Strategies | 2022-12 | To Reduce Tobacco Use |
| $20,234,000 | Silicon Valley Community Foundation (SVCF) | Sightsavers | 2022-12 | Health |
| $16,686,213 | World Lung Foundation (WLF) | Vital Strategies | 2014-12 | Tobacco Control |
| $16,316,000 | Subscribe to view | Subscribe to view | ██-█ | █ ███ ██ ██ ███ |
| $15,336,000 | Subscribe to view | Subscribe to view | ██-█ | ███████, ███ ███ |
| $15,000,000 | Subscribe to view | Subscribe to view | ██-█ | ███ |
| $14,920,274 | Subscribe to view | Subscribe to view | ██-█ | ████ |
| $11,367,446 | Subscribe to view | Subscribe to view | ██-█ | ███ █ █████, ███████, █ ███ ████ ████ ████ |
| $11,281,000 | Subscribe to view | Subscribe to view | ██-█ | █ ███ ██ ███ ███ █ █ ██ |
| $11,248,786 | 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–‘
- 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–‘
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–‘
This filter requires a Cause IQ subscription
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–‘
This filter requires a Cause IQ subscription
Characteristics
- 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–‘
This filter requires a Cause IQ subscription
Name
This filter requires a Cause IQ subscription
IRS 501(c) type
- 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–‘
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–‘
This filter requires a Cause IQ subscription
ip-10-10-3-67.us-east-2.compute.internal