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Pennsylvania · Public charity

Chance to Change Lives

To provide high impact experiential learning experiences to develop and nurture talents of all students, especially from under-represented groups and less privileged communities, to prepare them for 21st century research and development careers in stem fields

$8k
Granted FY2024(still arriving)
1
Itemized grants FY2024
Read the full brief
Itemized, FY2024
$7k
The rest is grants the schedule does not break out
Median grant, FY2024
$6,500
Largest grant, FY2024
$6,500
Total assets, FY2024
$285k

Top grantees

Largest grants in FY2024.

Individual grant recipient$6,500

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How do I get to Chance to Change Lives?

Find your warmest path to Chance to Change Lives through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

About Chance to Change Lives

How much does Chance to Change Lives give?
Chance to Change Lives reported 1 itemized grants totaling $6,500, out of $8,000 in total grant expense reported on the return in its FY2024 IRS filing.
Where is Chance to Change Lives based?
Chance to Change Lives is based in PA.

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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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