Skip to content
Foundation Dossiers

California · Private foundation

The Constance Corcoran Miller Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$4k
Granted FY2023
7
Grants FY2023
7
Organizations funded FY2023
Read the full brief
Median grant, FY2023
$180
Largest grant, FY2023
$2,375
States reached, FY2023
3
Total assets, FY2023
$2.0M
Applications
Preselected organizations only
Per its most recent filing; check its own site

Top grantees

Largest recipients by total granted, FY2023 to FY2023, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Smithsonian Institution$2,37510%
Wianno Sailing Foundation Inc$93711%
San Francisco Museum of Modern Art$18010%
The Junior League of San Francisco Inc$16810%
Society for Asian Art$11010%
San Francisco Symphony$11010%

Plus 1 recipient with no EIN on record ($250), not named here.

Compare The Constance Corcoran Miller Foundation with peer funders

About The Constance Corcoran Miller Foundation

How much does The Constance Corcoran Miller Foundation give?
The Constance Corcoran Miller Foundation reported 7 grants totaling $4,130 in its FY2023 IRS filing.
What does The Constance Corcoran Miller Foundation fund?
By grant dollars over FY2023 to FY2023, its largest causes are Arts & Culture (73%), Recreation & Sports (23%), Community Improvement (4%).
Who are The Constance Corcoran Miller Foundation's largest grantees?
By total granted over FY2023 to FY2023: Smithsonian Institution ($2k), Wianno Sailing Foundation Inc ($937), San Francisco Museum of Modern Art ($180).
Does The Constance Corcoran Miller Foundation accept unsolicited applications?
Its most recent filing reports that it funds preselected organizations and does not take unsolicited requests. Check the foundation's own site before ruling it out.
Where is The Constance Corcoran Miller Foundation based?
The Constance Corcoran Miller Foundation is based in CA.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 7 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990-PF e-file return for fiscal year 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record but names no grant recipient in the published copy, so the figures above are from FY2023, the most recent year this funder’s grantee list reached the public record.

Source object · view filing

Play a game based on Constance Corcoran Miller’s filings →

More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home