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San Diego Yacht Club Sailing Foundation at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

San Diego Yacht Club Sailing Foundation

Promote national and international amateur sailing, maritime education and competition.

$27k
Granted FY2020
3
Grants FY2020
1
States reached
$10k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2020.

Recreation & Sports$114kEducation$29kHuman Services$4k
02FY2020 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $19,000, the rows itemized in this filing. The $27,400 headline is the total grant expense on the return; the other $8,400 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2020

  • Under $10k2 grants · $9k
  • $10k–50k1 grant · $10k
$7,500
Median grant
1
States reached
$6.1M
Total assets
Largest grants
RecipientAmount
SAN DIEGO HISTORY CENTER$10,000
MISSION BAY AQUATIC CENTER$7,500
SOUTHWESTERN YACHT CLUB$1,500
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY19–19, $4k) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%CHALLENGED SAILORS SAN DIEGO: $4k → 11%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

92%of every dollar goes to organizations it has funded before.
$135k · 4 repeat orgs$11k to everyone else

4 repeat relationships: 3 still active in FY2020, 1 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

4
2

Total granted

$135k
$11k

Median revenue growth · since first grant

+64%
+186%

Still filing today

100%
100%

New vs renewed · share of each year

In FY2020, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • SD
    SAN DIEGO YACHT CLUB
    3× · 2017–2019 · $84k · revenue +19%
  • AS
    ASSOCIATED STUDENTS OF SAN DIEGO STATE UNIVERSITY
    4× · 2017–2020 · $30k · revenue +64%
  • SD
    SAN DIEGO HISTORICAL SOCIETY
    2× · 2018–2020 · $15k · revenue +232%

Funded once

  • TN
    THE NEW YORK YACHT CLUB
    one grant, 2019 · $8k · revenue +12%
  • CS
    CHALLENGED SAILORS SAN DIEGO INCgraduated
    one grant, 2019 · $4k · revenue +186%
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

6 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since first funded

Where the money sits, by cause and then by grantee

SAN DIEGO YACHT CLUB: $83,575 · OtherSAN DIEGO YACHT CLUBASSOCIATED STUDENTS OF SAN DIEGO STATE UNIVERSITY: $30,000 · OtherASSOCIATED STUDENTS OF SAN DIEGO STATE UNIVERSITYSAN DIEGO HISTORICAL SOCIETY: $15,000 · OtherSAN DIEGO HISTORICAL SOCIETYTHE NEW YORK YACHT CLUB: $7,500 · OtherSOUTHWESTERN YACHT CLUB: $6,500 · OtherCHALLENGED SAILORS SAN DIEGO INC: $3,500 · Human Services
Other$142,575Human Services$3,500

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetSAN DIEGO YACHT CLUB: $83,575 over 3y, 0.5% of budgetASSOCIATED STUDENTS OF SAN DIEGO STATE UNIVERSITY: $30,000 over 4y, 0.0% of budgetSAN DIEGO HISTORICAL SOCIETY: $15,000 over 2y, 0.5% of budgetTHE NEW YORK YACHT CLUB: $7,500 over 1y, 0.0% of budgetSOUTHWESTERN YACHT CLUB: $6,500 over 3y, 0.1% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

How much its grantees rely on government

Each dot is one organization San Diego Yacht Club Sailing Foundation funds: left to right is the share of its income from government, bottom to top the share from San Diego Yacht Club Sailing Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 6 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990 e-file return for fiscal year 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports $239k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2020, the most recent year this funder named its grantees.

    Source object · view filing

    Play a game based on San Diego Yacht Club Sailing’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home