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California · Public charity

Race to Erase Ms

To provide funding for research and to promote awareness for the treatment and ultimate cure of multiple sclerosis.

$360k
Granted FY2024(still arriving)
5
Grants FY2024
5
Organizations funded FY2023
0%
First-time grantees FY2023
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Median grant, FY2024
$60,000
Largest grant, FY2024
$120,000
Organizations funded a year
4 to 6
FY2017 to FY2023
States reached, FY2024
5
Total assets, FY2024
$2.3M

How open it is to new grantees

In FY2023, 0% of the organizations Race to Erase Ms funded were first-time grantees, receiving 0% of its grant dollars.

New vs renewed · share of each year

In FY2023, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’18’19’20’21’22’23
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’18’19’20’21’22’23
HealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.
The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY2024still arriving5$360k0%
FY20235$300k0%
FY20224$240k0%
FY20214$360k0%
FY20206$360k33%
FY20196$713k17%
FY20185$750k0%
FY20176$813kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Health$3.9MEducation$338k

Top grantees

Largest recipients by total granted, FY2017 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
The Johns Hopkins Hospital$937,50070%
University of California San Francisco$750,0007n/a
Yale University Neuroscience Depart$735,0008n/a
Brigham & Women's Hospital Harvard$675,0007n/a
Oregon Health & Science University$332,5005n/a
The Cleveland Clinic Foundation$210,00030%
Cedars-Sinai Medical Center$135,00020%
Children's Hospital Los Angeles$60,00010%
Mass General Brigham Incorporated$60,0001n/a

Compare Race to Erase Ms with peer funders

About Race to Erase Ms

How much does Race to Erase Ms give?
Race to Erase Ms reported 5 grants totaling $360,000 in its FY2024 IRS filing. It funded between 4 and 6 organizations a year over FY2017 to FY2023.
What does Race to Erase Ms fund?
By grant dollars over FY2017 to FY2024, its largest causes are Health (92%), Education (8%).
Who are Race to Erase Ms's largest grantees?
By total granted over FY2017 to FY2024: The Johns Hopkins Hospital ($938k), University of California San Francisco ($750k), Yale University Neuroscience Depart ($735k).
Does Race to Erase Ms fund new organizations?
In FY2023, 0% of the organizations it funded were first-time grantees.
Where is Race to Erase Ms based?
Race to Erase Ms 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 11 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 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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