Mutual assistance and financial organizations

There are 66,882 mutual assistance organizations in the United States. Combined, these mutual assistance organizations employ 289,544 people, earn more than $184 billion in revenue each year, and have assets of $437 billion.

Types of mutual assistance organizations

Nonprofit typeNumberRevenues
 
39,843
 
$109,122,767,907
 
9,635
 
$1,666,962,029
 
2,001
 
$24,583,255,713
 
787
 
$655,313,670
 
573
 
$124,118,165
 
330
 
$414,942,299
 
282
 
$46,758,893,085
 
86
 
$1,566,868
 
21
 
$9,182,460
 
10
 
$155,305
Showing 10 of 10 categories

Job trends for Mutual assistance organizations

Employees per organizationNumber of organizations
0
 
8,857
1-10
 
3,748
11-25
 
1,695
26-100
 
588
101 to 1,000
 
158
1,000+
 
33

Sizes of mutual assistance organizations

Revenues per organizationNumber of organizations
< $250k
 
13,421
$250k to $1M
 
3,179
$1M to $5M
 
1,774
$5M to $25M
 
1,441
$25M to $100M
 
685
$100M+
 
324
Key takeaways for revenue stats:

Directory of mutual assistance organizations


Want more insights on mutual assistance organizations?
There's a whole lot more to Cause IQ than what you see here. Additional filters, personnel information, peer benchmarking, Salesforce integration, vendor lists, etc. Access all the information your company needs in one place, already collected.
Schedule a demo
Over 200 customers use Cause IQ to grow, maintain, and serve their nonprofit clients.
Methodology: Cause IQ mines all tax-exempt organizations that file a Form 990 or 990PF with the IRS. We exclude Form 990EZ and Postcard filers, which are high in number but very small in size. 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 "Y00: Mutual and Benefit Organizations: General" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.