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Colorado · Public charity

Readability Matters

Expanding access to personalized reading material to further individual reading formats

$33k
Granted FY2024(still arriving)
1
Grants FY2024
2
Organizations funded FY2023
100%
First-time grantees FY2023
Read the full brief
Median grant, FY2024
$33,448
Largest grant, FY2024
$33,448
Organizations funded a year
1 to 2
FY2021 to FY2023
States reached, FY2024
1
Total assets, FY2024
$142k

How open it is to new grantees

In FY2023, 100% of the organizations Readability Matters funded were first-time grantees, receiving 100% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY2024still arriving1$33k0%
FY20232$56k100%
FY20211$16kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2024.

Philanthropy$175kEducation$106k

Top grantees

Largest recipients by total granted, FY2021 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
University of Oregon Foundation$58,44820%
Readworksinc$31,00011%
Chapman University$16,44410%

Compare Readability Matters with peer funders

About Readability Matters

How much does Readability Matters give?
Readability Matters reported 1 grants totaling $33,448 in its FY2024 IRS filing. It funded between 1 and 2 organizations a year over FY2021 to FY2023.
What does Readability Matters fund?
By grant dollars over FY2021 to FY2024, its largest causes are Philanthropy (62%), Education (38%).
Who are Readability Matters's largest grantees?
By total granted over FY2021 to FY2024: University of Oregon Foundation ($58k), Readworksinc ($31k), Chapman University ($16k).
Does Readability Matters fund new organizations?
In FY2023, 100% of the organizations it funded were first-time grantees.
Where is Readability Matters based?
Readability Matters is based in CO.

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 4 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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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