There is about a terabyte of XML IRS disclosures behind this number, so it's quite an exercise to derive. A few other interesting stats that explain the stat further:
- "Revenue” is not the same as donations - The the nonprofit dataset includes hospitals, universities, insurers and other tax-exempt businesses. Even patient fees, tuition, and investment income count as this revenue.
- The revenue skew is pretty extreme: $164k is the median, $6.43M is the average
- Scale attracts more scale: The concentration of revenue is increasing over the years
- As you can guess: hospitals and universities are among the largest orgs by revenue.
Definitely a different view of what a nonprofit means!
There is about a terabyte of XML IRS disclosures behind this number, so it's quite an exercise to derive. A few other interesting stats that explain the stat further:
- "Revenue” is not the same as donations - The the nonprofit dataset includes hospitals, universities, insurers and other tax-exempt businesses. Even patient fees, tuition, and investment income count as this revenue.
- The revenue skew is pretty extreme: $164k is the median, $6.43M is the average
- Scale attracts more scale: The concentration of revenue is increasing over the years
- As you can guess: hospitals and universities are among the largest orgs by revenue.
Definitely a different view of what a nonprofit means!
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