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Louisiana · Public charity

Cleft for a Cause

To raise money for cleft palate children to have needed surgeries. We want to donate the money to children's hospitals or to individuals.

$10k
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
0%
First-time grantees FY2019
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Median grant, FY2019
$10,000
Largest grant, FY2019
$10,000
Organizations funded a year
1 to 1
FY2017 to FY2019
States reached, FY2019
1
Total assets, FY2019
$3k

How open it is to new grantees

In FY2019, 0% of the organizations Cleft for a Cause funded were first-time grantees, receiving 0% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20191$10k0%
FY20171$72kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2019.

Health$82k

Top grantees

Largest recipients by total granted, FY2017 to FY2019, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
David Hoffman Cleft Palate Fund$82,000295%

Compare Cleft for a Cause with peer funders

About Cleft for a Cause

How much does Cleft for a Cause give?
Cleft for a Cause reported 1 grants totaling $10,000 in its FY2019 IRS filing. It funded between 1 and 1 organizations a year over FY2017 to FY2019.
What does Cleft for a Cause fund?
By grant dollars over FY2017 to FY2019, its largest causes are Health (100%).
Who are Cleft for a Cause's largest grantees?
By total granted over FY2017 to FY2019: David Hoffman Cleft Palate Fund ($82k).
Does Cleft for a Cause fund new organizations?
In FY2019, 0% of the organizations it funded were first-time grantees.
Where is Cleft for a Cause based?
Cleft for a Cause is based in LA.

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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2021) is on record and reports no grant expense, so the figures above are from FY2019, the most recent year this funder made grants.

Source object · view filing

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