Charleston, SC organizations supporting multiple housing providers and shelters

There are 2organizations supporting multiple housing providers and shelters in the greater CharlestonSouth Carolina metro area, including the cities of Charleston and North Charleston. Combined, these Charleston metro organizations supporting multiple housing providers and sheltersemploy 0 people, earn more than $45,463 in revenue each year, and have assets of $25,158.

Job trends for Charleston, SC organizations supporting multiple housing providers and shelters

Employees per organizationNumber of organizations
0
0
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 multiple housing providers and shelters in Charleston

Revenues per organizationNumber of organizations
< $250k
1
$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 The Favor Foundationand Coastlend Charities earn the majority of revenues among nonprofits in Charleston, SC organizations supporting multiple housing providers and shelters.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Charleston, SC organizations supporting multiple housing providers and shelters with more than $100 million account for 0.0% of nonprofit earnings.

Directory of organizations supporting multiple housing providers and shelters in Charleston


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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 "L12: Housing and Shelter Fund Raising and Fund Distribution" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.