Bowling Green crime prevention programs

There are 2crime prevention organizations in the greater Bowling Greenmetro area. Combined, these Bowling Green metro crime prevention programsemploy 1 people, earn more than $292,277 in revenue each year, and have assets of $360,629.

Job trends for Bowling Green crime prevention programs

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

Sizes of crime prevention programs in Bowling Green

Revenues per organizationNumber of organizations
< $250k
0
$250k to $1M
1
$1M to $5M
0
$5M to $25M
0
$25M to $100M
0
$100M+
0
Key takeaways for revenue stats:
  • Large organizations like Scottsville-Allen County Faith Coalitionand Cyber Cop Academy earn the majority of revenues among nonprofits in Bowling Green crime prevention programs.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Bowling Green crime prevention programs with more than $100 million account for 0.0% of nonprofit earnings.

Directory of crime prevention programs in Bowling Green


Want more insights on crime prevention programs in Bowling Green?
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 "I20: Crime Prevention" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.