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Washington, D.C. · Nonprofit
MAKING EVERY VOTE COUNT FOUNDATION (Washington, D.C.) is funded by 5 grantmakers whose IRS filings report $651,560 in grants to it, the largest being Silicon Valley Community Foundation ($336,560). 1 of them have funded it in more than one year.
Against its field
MAKING EVERY VOTE COUNT FOUNDATION's revenue fell 96% between 2018 and 2021.
this organization peer median middle 50% of peers· 822 civil rights nonprofits under $100k, FY2021
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.
Operating surplus or deficit each year, and months of liquidity in hand. 3 of the last 4 reported years ran a deficit.
$10k from 1 funders in 2023, up from $612k and 3 in 2018.
3 of 5 of your funders are donor-advised or pass-through sponsors (tagged DAF) — 55% of grant dollars received. That money is really individual donors directing a sponsor; the institutions to cultivate are the non-DAF funders.
From the IRS filings of MAKING EVERY VOTE COUNT FOUNDATION’s funders (the co-funder graph). Association, not causation.
MAKING EVERY VOTE COUNT FOUNDATION leans on a few funders — its largest provides 52% of grant income and the top three 97%; 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 55% · 2019 100% · 2020 100% · 2021 100% · 2023 100% — growing more concentrated.
“Effective funders” = inverse Herfindahl index (1 / Σ shareᵢ²) — the number of equal-sized funders that would give the same concentration.
MAKING EVERY VOTE COUNT FOUNDATION draws 100% of its grant income from funders outside Washington, D.C. — its reputation reaches beyond the state, across 2 states in all.
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.
Every figure is read directly from IRS Form 990 / 990-PF e-file XML — this organization’s own return for FY2021 (financials across 2018–2021), and the filings of 5funders 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