Lancaster organizations supporting multiple international-focused nonprofits

There are 2organizations supporting multiple foreign affairs and international nonprofits in the greater Lancastermetro area. Combined, these Lancaster metro organizations supporting multiple international-focused nonprofitsemploy 0 people, earn more than $174,284 in revenue each year, and have assets of $12,921.

Job trends for Lancaster organizations supporting multiple international-focused nonprofits

Employees per organizationNumber of organizations
0
1
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 international-focused nonprofits in Lancaster

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 Cookie Sale To Combat World Hungerand Morning Star USA Ministries Corporation earn the majority of revenues among nonprofits in Lancaster organizations supporting multiple international-focused nonprofits.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Lancaster organizations supporting multiple international-focused nonprofits with more than $100 million account for 0.0% of nonprofit earnings.

Directory of organizations supporting multiple international-focused nonprofits in Lancaster


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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 "Q12: International, Foreign Affairs and National Security 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.