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· Public charity

Special Olympics Northern California Inc

Special olympics provides athletic opportunities to children and adults with intellectual disabilities to instill the confidence needed to succeed in life.

$1.1M
Granted FY2024still arriving
12
Grants FY2024still arriving
2
States reached
$792k
Largest
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 2024.

Education$2.3MRecreation & Sports$862k
02FY2024 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 12 grants below total $1,042,009, the rows itemized in this filing. The $1,103,834 headline is the total grant expense on the return; the other $61,825 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 · FY2024

  • Under $10k5 grants · $39k
  • $10k–50k4 grants · $86k
  • $50k–250k2 grants · $125k
  • $250k+1 grant · $792k
$10,900
Median grant
2
States reached
$17M
Total assets
Largest grants
RecipientAmount
SPECIAL OLYMPICS NEVADA INC$792,484
CONTRA COSTA CNTY OFFICE OF ED$65,000
SAN FRANCISCO USD$60,000
DUBLIN UNIFIED SCHOOL DISTR$35,000
MISSION VALLEY SELPA$30,000
SANTA ROSA CITY SCHOOLS$10,900
Individual grant recipient$10,000
Individual grant recipient$9,250
WEST CONTRA COSTA CNTY USD$8,000
Individual grant recipient$7,875
PALO ALTO UNIFIED SCHOOL DISTR$7,000
PITTSBURG UNIFIED SCHOOL DISTR$6,500
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:

Dollar for dollar, its grants (FY17–24) land where the poverty rate runs at 11%, against an area that typically sits at 8%. 93% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%SAN MATEO COUNTY OFFICE OF EDUCATION: $65k → 7%SANTA ROSA CITY SCHOOLS: $14k → 9%SAN FRANCISCO UNIFIED SCHOOL DISTRICT: $70k → 10%WASHOE CNTY SCHOOL DIST: $22k → 10%SPECIAL OLYMPICS NEVADA INC: $792k → 13%SAN MATEO COUNTY OFFICE OF EDUCATION: $65k → 7%SANTA ROSA CITY SCHOOLS: $14k → 9%MISSION VALLEY SELPA: $32k → 10%SAN FRANCISCO UNIFIED SCHOOL DISTRICT: $70k → 10%WASHOE COUNTY SCHOOL DISTRICT: $13k → 10%SPECIAL OLYMPICS NEVADA INC: $70k → 13%SAN MATEO COUNTY OFFICE OF EDUCATION: $65k → 7%SANTA ROSA CITY SCHOOLS: $12k → 9%MISSION VALLEY SELPA: $30k → 10%SAN FRANCISCO USD: $65k → 10%WASHOE COUNTY SCHOOL DISTRICT: $12k → 10%CLARK COUNTY SCHOOL DISTRICT: $56k → 13%SAN MATEO COUNTY OFFICE OF EDUCATION: $23k → 7%MISSION VALLEY SELPA: $30k → 10%SAN FRANCISCO USD: $64k → 10%CLARK COUNTY SCHOOL DISTRICT: $53k → 13%MISSION VALLEY SELPA: $30k → 10%SAN FRANCISCO USD: $60k → 10%CLARK COUNTY SCHOOL DISTRICT: $53k → 13%MISSION VALLEY SELPA: $30k → 10%SAN FRANCISCO USD: $60k → 10%CLARK CNTY SCHOOL DISTR: $45k → 13%MISSION VALLEY SELPA: $30k → 10%SAN FRANCISCO UNIFIED SCHOOL DISTRICT: $59k → 10%CLARK CNTY SCHOOL DISTR: $30k → 13%SAN FRANCISCO UNIFIED SCHOOL DISTRICT: $38k → 10%CLARK COUNTY SCHOOL DISTRICT: $18k → 13%CONTRA COSTA COUNTY OFFICE OF EDUCATION: $90k → 9%CONTRA COSTA COUNTY OFFICE OF EDUCATION: $87k → 9%DUBLIN UNIFIED SCHOOL DISTR: $37k → 10%CONTRA COSTA COUNTY OFFICE OF EDUCATION: $83k → 9%DUBLIN UNIFIED SCHOOL DISTR: $35k → 10%CONTRA COSTA CNTY OFFICE OF ED: $69k → 9%DUBLIN UNIFIED SCHOOL DISTRICT: $35k → 10%CONTRA COSTA CNTY OFFICE OF ED: $65k → 9%DUBLIN USD: $35k → 10%CONTRA COSTA COE: $65k → 9%DUBLIN UNIFIED SCHOOL DISTRICT: $35k → 10%CONTRA COSTA COUNTY OFFICE OF EDUCATION: $29k → 9%DUBLIN UNIFIED SCHOOL DISTRICT: $35k → 10%CONTRA COSTA COE: $22k → 9%DUBLIN USD: $31k → 10%DUBLIN UNIFIED SCHOOL DISTRICT: $16k → 10%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.

99%of every dollar goes to organizations it has funded before.
$3.2M · 27 repeat orgs$48k to everyone else

27 repeat relationships: 11 still active in FY2024, 16 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

27
4

Total granted

$3.2M
$41k

Median revenue growth · since first grant

0%
+95%

Still filing today

4%
25%

New vs renewed · share of each year

In FY2024, 99% of grant dollars renewed an existing relationship; $7k went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24
Recreation & SportsEducationOther
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

  • SO
    Special Olympics Nevada
    2× · 2023–2024 · $862k · 30% of their budget
  • S
    SFUSD
    8× · 2017–2024 · $486k
  • CC
    Contra Costa County Office of Education
    4× · 2017–2020 · $290k

Funded once

  • WC
    WASHOE CNTY SCHOOL DIST
    one grant, 2022 · $22k
  • WC
    WASHOE CNTY SCHOOL DISTR
    one grant, 2023 · $8k
  • ROCKETSHIP EDUCATIONgraduated
    one grant, 2017 · $6k · revenue +95%
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

2 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. 2 of the 32 grantees resolved in that span have returns of their own we could reconcile.

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

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
1/2
Grew since first funded

Where the money sits, by cause and then by grantee

SFUSD: $486,000 · OtherSFUSDContra Costa County Office of Education: $289,506 · OtherContra Costa County Office of EducationSAN MATEO COUNTY OFFICE OF EDUCATION: $218,334 · OtherSAN MATEO COUNTY OFFICE OF EDUCATIONMISSION VALLEY SELPA: $202,500 · OtherMISSION VALLEY SELPACLARK COUNTY SCHOOL DISTRICT: $180,042 · OtherCLARK COUNTY SCHOOL DISTRICTCONTRA COSTA CNTY OFFICE OF ED: $134,334 · OtherCONTRA COSTA CNTY OFFICE OF EDDublin Unified School District: $120,667 · OtherIndividual grant recipient: $86,667 · OtherSANTA ROSA CITY SCHOOLS: $86,100 · Other+21 more: $530,353 · Other+21 moreSpecial Olympics Nevada: $862,484 · Recreation & SportsSpecial Olympics NevadaROCKETSHIP EDUCATION: $6,000 · Education
Other$2,334,503Recreation & Sports$862,484Education$6,000

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetSpecial Olympics Nevada: $862,484 over 2y, 30% of budgetROCKETSHIP EDUCATION: $6,000 over 1y, 0.0% 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.

  • Who funds Special Olympics Nevada ↗
  • Who funds ROCKETSHIP EDUCATION ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Project Lead the Way IncIN13.4× affinity4 shared granteesties to 7 of 7Hover any node to trace its alignments.Compare side by side →

Open a dossier: Project Lead the Way Inc · Kaiser Foundation Hospitals · For Inspiration and Recognition of Science and Technology (FIRST) · Silicon Valley Community Foundation · Donor Advised Charitable Giving Inc · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Special Olympics Northern California Inc funds: left to right is the share of its income from government, bottom to top the share from Special Olympics Northern California Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%3%10%23%40%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
    2report 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 32 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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