Funders › PA › National Board of Medical Examiners › 2018
Grants paid by National Board of Medical Examiners, tax year 2018
EIN 23-1352238 · Philadelphia, PA · Form 990, Schedule I · NTEE E030
In tax year 2018, National Board of Medical Examiners (EIN 23-1352238) reported 6 grants paid totaling $334,564. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2018
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2018 | University of Minnesota Minneapolis, MN | A | $74,852 | paid | Grant - See Part IV | 201921729349300032 |
| 2018 | University of Michigan Ann Arbor, MI | A | $74,822 | paid | Grant -See Part IV | 201921729349300032 |
| 2018 | Uniformed Services University Bethesda, MD | A | $70,056 | paid | Grant -See Part IV | 201921729349300032 |
| 2018 | Univ City District Philadelphia, PA | A | $57,834 | paid | Contribution-See Part IV | 201921729349300032 |
| 2018 | Virginia Mason Med Center Seattle, WA | A | $50,000 | paid | Contribution-See Part IV | 201921729349300032 |
| 2018 | Rutgers Robert Wood Medical New Brunswick, NJ | A | $7,000 | paid | Contribution-See Part IV | 201921729349300032 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.