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· Public charity

North Carolina Performing Arts Center at Charlotte Foundation

To present the best in the performing arts and, in partnership with others, share and employ the arts as a major catalyst to strengthen education, build community cohesiveness, and advance economic growth.

$71k
Granted FY2018
6
Grants FY2018
2
States reached
$10k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2018.

Education$130k
02FY2018 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 6 grants below total $55,000, the rows itemized in this filing. The $70,800 headline is the total grant expense on the return; the other $15,800 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2018

  • Under $10k1 grant · $5k
  • $10k–50k5 grants · $50k
$10,000
Median grant
2
States reached
$65M
Total assets
Largest grants
RecipientAmount
WEST CAROLINA UNIVERSITY$10,000
NC CENTRAL UNIVERSITY$10,000
UNC SCHOOL OF THE ARTS$10,000
UNC GREENSBORO$10,000
RUTGERS UNIVERSITY$10,000
GARDNER WEBB UNIVERSITY$5,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY17–18) land where the poverty rate runs at 14%, against an area that typically sits at 14%. 69% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 14%NORTH CAROLINA CENTRAL UNIVERSITY: $10k → 11%UNC SCHOOL OF THE ARTS: $20k → 15%UNC GREENSBORO: $10k → 16%GARDNER-WEBB UNIVERSITY: $5k → 17%WESTERN CAROLINA UNIVERSITY: $10k → 18%EAST CAROLINA UNIVERSITY: $10k → 20%RUTGERS UNIVERSITY: $10k → 8%NC CENTRAL UNIVERSITY: $10k → 11%UNC SCHOOL OF THE ARTS: $10k → 15%UNC GREENSBORO: $10k → 16%GARDNER WEBB UNIVERSITY: $5k → 17%WEST CAROLINA UNIVERSITY: $10k → 18%RUTGERS UNIVERSITY: $10k → 8%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

92%of every dollar goes to organizations it has funded before.
$120k · 6 repeat orgs$10k to everyone else

6 repeat relationships: 6 still active in FY2018, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

6
1

Total granted

$120k
$10k

Still filing today

17%
0%

New vs renewed · share of each year

In FY2018, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • UO
    UNIVERSITY OF NORTH CAROLINA SCHOOL OF THE ARTS
    2× · 2017–2018 · $30k
  • NC
    NORTH CAROLINA CENTRAL UNIVERSITY
    2× · 2017–2018 · $20k
  • TU
    THE UNIVERSITY OF NORTH CAROLINA AT GREENSBORO
    2× · 2017–2018 · $20k

Funded once

  • EC
    EAST CAROLINA UNIVERSITY
    one grant, 2017 · $10k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

1 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 7 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
1/1
Grantees still filing
1/1
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF NORTH CAROLINA SCHOOL OF THE ARTS: $30,000 · OtherUNIVERSITY OF NORTH CAROLINA SCHOOL OF THE ARTSNORTH CAROLINA CENTRAL UNIVERSITY: $20,000 · OtherNORTH CAROLINA CENTRAL UNIVERSITYTHE UNIVERSITY OF NORTH CAROLINA AT GREENSBORO: $20,000 · OtherTHE UNIVERSITY OF NORTH CAROLINA AT GREENSBOROWESTERN CAROLINA UNIVERSITY: $20,000 · OtherWESTERN CAROLINA UNIVERSITYRUTGERS UNIVERSITY: $20,000 · OtherRUTGERS UNIVERSITYEAST CAROLINA UNIVERSITY: $10,000 · OtherEAST CAROLINA UNIVERSITYGARDNER-WEBB UNIVERSITY: $10,000 · Education
Other$120,000Education$10,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budgetGARDNER-WEBB UNIVERSITY: $10,000 over 2y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds GARDNER-WEBB UNIVERSITY ↗

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.

Foundation for the CarolinasNC13.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Foundation for the Carolinas

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.

How much its grantees rely on government

Each dot is one organization North Carolina Performing Arts Center at Charlotte Foundation funds: left to right is the share of its income from government, bottom to top the share from North Carolina Performing Arts Center at Charlotte Foundation. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

    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 7 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports $70k 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 FY2018, the most recent year this funder named its grantees.

    Source object · view filing

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