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Virginia · Nonprofit
CHESAPEAKE REGIONAL MEDICAL GROUP (Virginia) is funded by 4 grantmakers whose IRS filings report $240,874 in grants to it, the largest being VIRGINIA HOSPITAL RESEARCH AND EDUCATION ($147,991). 1 of them have funded it in more than one year.
Against its field
CHESAPEAKE REGIONAL MEDICAL GROUP has grown faster than three-quarters of the 4,494 health nonprofits its size.
this organization peer median middle 50% of peers· 4,494 health nonprofits $10M–$100M, FY2023
Revenue, expenses and net assets — each indexed to 100 at its first filing year, so you read the trajectory, not the magnitude. The shaded band is where the middle 50% of its peers' revenue would sit, given their growth.
The funding model — what share of revenue comes from contributions, programs, investments and other sources — and whether it's shifting.
0% of CHESAPEAKE REGIONAL MEDICAL GROUP’s revenue is contributions — more earned-revenue than three-quarters of its peers (7% for the typical peer).
Operating surplus or deficit each year, and months of liquidity in hand. 6 of the last 6 reported years ran a deficit.
The base broadened — 1 funders to 3 as grant income moved $60k → $168k.
From the IRS filings of CHESAPEAKE REGIONAL MEDICAL GROUP’s funders (the co-funder graph). Association, not causation.
CHESAPEAKE REGIONAL MEDICAL GROUP leans on a few funders — its largest provides 61% of grant income and the top three 98%; half comes from just 1 funder.
the vertical line marks half of all grant income — 1 funder to its left
Largest funder’s share by year: 2018 100% · 2023 100% · 2024 88% — diversifying over time.
“Effective funders” = inverse Herfindahl index (1 / Σ shareᵢ²) — the number of equal-sized funders that would give the same concentration.
CHESAPEAKE REGIONAL MEDICAL GROUP is locally rooted: 88% of its grant income comes from Virginia funders.
In-state vs out-of-state, by year
Grantmakers that don’t fund you yet, surfaced two ways: they back organizations that share your funders, or their grantees resemble your mission. The ones both signals agree on come first.
From the co-funder graph (funders backing at least two comparable organizations, shrunk for grantee count, donor-advised and mega-funds excluded) and the universe embeddings. A research starting point; overlap is association, not a guarantee of fit.
Nonprofits whose mission and program text most resemble this one, by semantic similarity over the universe of US filings — the closest peers, and often the clearest route to shared or prospective funders.
Read directly from this organization’s own Form 990, as neutral context.
97% of spending goes to programs.
100%
Share of support from the public (Schedule A) — the basis for its public-charity status.
Operates in 1 state
Part of a family of 4 related entities
Every figure is read directly from IRS Form 990 / 990-PF e-file XML — this organization’s own return for FY2023 (financials across 2018–2023), and the filings of 4funders that report grants to it. “On record” means captured in the filings we have parsed — a funder that does not e-file, or whose grant detail is not itemized, will not appear. Filings run roughly 12–24 months behind. view filing