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Wisconsin · Public charity

Newcap Inc

Newcap, inc.'s mission is to move people from poverty to opportunities and economic security, while enhancing community development.

$4.1M
Granted FY2017
5
Itemized grants FY2017
5
Organizations funded FY2017
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Itemized, FY2017
$145k
The rest is grants the schedule does not break out
Median grant, FY2017
$10,498
Largest grant, FY2017
$100,827
States reached, FY2017
1
Total assets, FY2017
$15M

Top grantees

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

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA3.2× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

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About Newcap Inc

How much does Newcap Inc give?
Newcap Inc reported 5 itemized grants totaling $145,175, out of $4,072,585 in total grant expense reported on the return in its FY2017 IRS filing.
What does Newcap Inc fund?
By grant dollars over FY2017 to FY2017, its largest causes are Employment (69%), Housing & Shelter (20%), Human Services (11%).
Who are Newcap Inc's largest grantees?
By total granted over FY2017 to FY2017: Goodwill Industries of Northern Wisconsin & Upper Michigan Inc ($101k), Domestic Abuse Support Center of Shawano County Inc ($18k), Northwoods Alliance for Temporary Housing Inc ($10k).
Which funders back the same organizations as Newcap Inc?
Its strongest co-funders, measured against what their size predicts, include Amazonsmile Foundation.
Where is Newcap Inc based?
Newcap Inc is based in WI.

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 5 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 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports $4.1M of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2017, the most recent year this funder named its grantees.

Source object · view filing

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