Pittsburgh retirement homes

There are 76retirement homes and senior housing programs in the greater Pittsburghmetro area. Combined, these Pittsburgh metro retirement homesemploy 224 people, earn more than $33 million in revenue each year, and have assets of $121 million.

Job trends for Pittsburgh retirement homes

Employees per organizationNumber of organizations
0
54
1-10
5
11-25
0
26-100
1
101 to 1,000
1
1,000+
0
Key takeaways for employment stats:

Sizes of retirement homes in Pittsburgh

Revenues per organizationNumber of organizations
< $250k
27
$250k to $1M
29
$1M to $5M
6
$5M to $25M
1
$25M to $100M
0
$100M+
0
Key takeaways for revenue stats:
  • Large organizations like Arbors at St Barnabas, St Justin Plaza, St Therese Plaza, Mars Housing, and 033-11138 earn the majority of revenues among nonprofits in Pittsburgh retirement homes.
  • Organizations with less than $1 million in revenue account for 53.9% of combined nonprofit revenues, whereas organizations in Pittsburgh retirement homes with more than $100 million account for 0.0% of nonprofit earnings.

Directory of retirement homes in Pittsburgh


Want more insights on retirement homes in Pittsburgh?
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 "L22: Senior Citizens Housing, Retirement Communities" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.