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New Jersey · Private foundation

The Christine Collins Shubert and Edward Shubert Foundation

Its FY2017 filing reports that it accepted unsolicited grant applications.

$71k
Granted FY2017
4
Grants FY2017
1
Organizations funded FY2017
Read the full brief

Read this first · the figures below need context

93% of The Christine Collins Shubert and Edward Shubert Foundation’s FY2017 grant dollars went to Fidelity Investments Charitable Gift Fund, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2017 names 1 organization directly, so a portfolio cannot be read from it.

Median grant, FY2017
$15,610
Largest grant, FY2017
$37,783
States reached, FY2017
2
Applications
Takes unsolicited applications
Per its most recent filing; check its own site

Top grantees

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

GranteeTotal grantedYearsShare of their budget
Rutgers University Foundation$5,00010%

Compare The Christine Collins Shubert and Edward Shubert Foundation with peer funders

About The Christine Collins Shubert and Edward Shubert Foundation

How much does The Christine Collins Shubert and Edward Shubert Foundation give?
The Christine Collins Shubert and Edward Shubert Foundation reported 4 grants totaling $70,555 in its FY2017 IRS filing.
What does The Christine Collins Shubert and Edward Shubert Foundation fund?
By grant dollars over FY2017 to FY2017, its largest causes are Philanthropy (93%), Education (7%).
Who are The Christine Collins Shubert and Edward Shubert Foundation's largest grantees?
By total granted over FY2017 to FY2017: Rutgers University Foundation ($5k).
Does The Christine Collins Shubert and Edward Shubert Foundation accept unsolicited applications?
Its most recent filing reports that it accepts unsolicited grant applications.
Where is The Christine Collins Shubert and Edward Shubert Foundation based?
The Christine Collins Shubert and Edward Shubert Foundation is based in NJ.

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 2 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-PF e-file return for fiscal year 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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