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New York · Public charity

Hope for Javier

HOPE FOR JAVIER's mission is to create hope where none (yet) exists. Because duchenne muscular dystrophy is considered an orphan disease, one that pharmaceutical companies consider least profitable and therefore not worthy of their attention, it is up to private individuals to fund much of the research. Through fundraising and raising…

$30k
Granted FY2018
1
Grants FY2018
1
Organizations funded FY2018
0%
First-time grantees FY2018
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Median grant, FY2018
$30,000
Largest grant, FY2018
$30,000
Organizations funded a year
1 to 1
FY2017 to FY2018
States reached, FY2018
1
Total assets, FY2018
$266k

How open it is to new grantees

In FY2018, 0% of the organizations Hope for Javier funded were first-time grantees, receiving 0% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20181$30k0%
FY20171$30kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2018.

Health$60k

Top grantees

Largest recipients by total granted, FY2017 to FY2018, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Curators of the University of Missouri$60,0002n/a

Compare Hope for Javier with peer funders

About Hope for Javier

How much does Hope for Javier give?
Hope for Javier reported 1 grants totaling $30,000 in its FY2018 IRS filing. It funded between 1 and 1 organizations a year over FY2017 to FY2018.
What does Hope for Javier fund?
By grant dollars over FY2017 to FY2018, its largest causes are Health (100%).
Who are Hope for Javier's largest grantees?
By total granted over FY2017 to FY2018: Curators of the University of Missouri ($60k).
Does Hope for Javier fund new organizations?
In FY2018, 0% of the organizations it funded were first-time grantees.
Where is Hope for Javier based?
Hope for Javier is based in NY.

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 1 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2018, the most recent year this funder made grants.

Source object · view filing

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