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North Carolina · Public charity

Working Landscapes

To create more healthy and sustainable lives and livelihoods for people in the warren county, nc region through stewardship of natural and cultural assets.

$12k
Granted FY2017
1
Itemized grants FY2017
1
Organizations funded FY2017
Read the full brief
Itemized, FY2017
$11k
The rest is grants the schedule does not break out
Median grant, FY2017
$11,000
Largest grant, FY2017
$11,000
States reached, FY2017
1
Total assets, FY2017
$1.2M

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
Nash Community College$11,0001n/a

Compare Working Landscapes with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to Working Landscapes?

Find your warmest path to Working Landscapes 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 Working Landscapes

How much does Working Landscapes give?
Working Landscapes reported 1 itemized grants totaling $11,000, out of $11,575 in total grant expense reported on the return in its FY2017 IRS filing.
What does Working Landscapes fund?
By grant dollars over FY2017 to FY2017, its largest causes are Food & Nutrition (100%).
Who are Working Landscapes's largest grantees?
By total granted over FY2017 to FY2017: Nash Community College ($11k).
Where is Working Landscapes based?
Working Landscapes is based in NC.

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 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 no grant expense, so the figures above are from FY2017, the most recent year this funder made grants.

Source object · view filing

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