Charlotte organizations supporting a crime or legal aid nonprofit

There are 3organizations supporting a single crime or legal aid nonprofit in the greater Charlottemetro area, including the cities of Charlotte, Concord, Gastonia, and Rock Hill within the states of South Carolina and North Carolina. Combined, these Charlotte metro organizations supporting a crime or legal aid nonprofitemploy 0 people, earn more than $170,696 in revenue each year, and have assets of $348,356.

Job trends for Charlotte organizations supporting a crime or legal aid nonprofit

Employees per organizationNumber of organizations
0
1
1-10
0
11-25
0
26-100
0
101 to 1,000
0
1,000+
0
Key takeaways for employment stats:

Sizes of organizations supporting a crime or legal aid nonprofit in Charlotte

Revenues per organizationNumber of organizations
< $250k
2
$250k to $1M
0
$1M to $5M
0
$5M to $25M
0
$25M to $100M
0
$100M+
0
Key takeaways for revenue stats:
  • Large organizations like Sheriffs Foundation of York County, Sheldons K9S, and Waxhaw Police Foundation earn the majority of revenues among nonprofits in Charlotte organizations supporting a crime or legal aid nonprofit.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Charlotte organizations supporting a crime or legal aid nonprofit with more than $100 million account for 0.0% of nonprofit earnings.

Directory of organizations supporting a crime or legal aid nonprofit in Charlotte


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Methodology: Cause IQ mines all tax-exempt organizations that file a Form 990, Form 990-EZ, or Form 990-PF with the IRS. We collect and aggregate this information from OCR'd paper taxreturns, XML e-file taxreturns, IRS-provided extract, the Business Master File, and Cause IQ secret sauce for data cleaning, categorization, classification, analytics, etc.
This category corresponds to the "I11: Crime and Legal-Related Single Organization Support" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.