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Georgia · Public charity

Conference for the Model Aquatic Health Code

The Conference for the Model Aquatic Health Code was created to manage updates to, and promote voluntary adoption of, the Centers for Disease Control and Prevention's CDC model aquatic health code, the only all-inclusive national pool code. Throughout the year, The CMAHC staff supporting and improving public health by promoting a healthy…

$80k
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
Read the full brief
Median grant, FY2019
$79,535
Largest grant, FY2019
$79,535
States reached, FY2019
1
Total assets, FY2019
$129k

Top grantees

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

GranteeTotal grantedYearsShare of their budget
Trustees of Purdue University$79,5351n/a

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About Conference for the Model Aquatic Health Code

How much does Conference for the Model Aquatic Health Code give?
Conference for the Model Aquatic Health Code reported 1 grants totaling $79,535 in its FY2019 IRS filing.
What does Conference for the Model Aquatic Health Code fund?
By grant dollars over FY2019 to FY2019, its largest causes are Environment (100%).
Who are Conference for the Model Aquatic Health Code's largest grantees?
By total granted over FY2019 to FY2019: Trustees of Purdue University ($80k).
Where is Conference for the Model Aquatic Health Code based?
Conference for the Model Aquatic Health Code is based in GA.

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 (FY2025) is on record but names no grant recipient (grants abroad are filed by region only, and grants under $5,000 are not itemized), so the figures above are from FY2019, the most recent year this funder named its grantees.

Source object · view filing

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