Peoria heart disease organizations

There are 2heart and circulatory disease organizations in the greater Peoriametro area. Combined, these Peoria metro heart disease organizationsemploy 0 people, earn more than $110,676 in revenue each year, and have assets of $16,029.

Job trends for Peoria heart disease organizations

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 heart disease organizations in Peoria

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 Affinity CPR Training Centerand Meg Sird NFP earn the majority of revenues among nonprofits in Peoria heart disease organizations.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Peoria heart disease organizations with more than $100 million account for 0.0% of nonprofit earnings.

Directory of heart disease organizations in Peoria


Want more insights on heart disease organizations in Peoria?
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, 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 "G43: Heart and Circulatory System Diseases, Disorders" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.