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Washington First Robotics at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Washington First Robotics

Our vision is to empower more young people from diverse backgrounds to become leaders and innovators in stem.

$1.5M
Granted FY2025still arriving
61
Grants FY2025still arriving
1
States reached
$78k
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, FY2024 to 2025.

Education$2.3M
02FY2025 · 61 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 61 grants below total $1,211,395, the rows itemized in this filing. The $1,477,079 headline is the total grant expense on the return; the other $265,684 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 · FY2025

  • Under $10k15 grants · $130k
  • $10k–50k41 grants · $743k
  • $50k–250k5 grants · $339k
$12,686
Median grant
1
States reached
$3.8M
Total assets
Largest grants
RecipientAmount
SEATTLE PUBLIC SCHOOLS$77,781
FEDERAL WAY SCHOOL DISTRICT$71,646
EVERETT SCHOOL DISTRICT$68,651
BELLEVUE SCHOOL DISTRICT$64,433
ISSAQUAH SCHOOL DISTRICT$56,027
RENTON SCHOOL DISTRICT$42,286
AUBURN SCHOOL DISTRICT$37,243
BETHEL SCHOOL DISTRICT$36,374
PUYALLUP SCHOOL DISTRICT$34,929
LAKE WASHINGTON SCHOOL DISTRICT$30,099
EDMONDS SCHOOL DISTRICT$29,717
NORTHSHORE SCHOOL DISTRICT$29,403
OLYMPIA SCHOOL DISTRICT$26,462
OAK HARBOR SCHOOL DISTRICT$25,710
KENNEWICK SCHOOL DISTRICT$22,035
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 (FY24–25) land where the poverty rate runs at 10%, against an area that typically sits at 8%. 98% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%OAK HARBOR SCHOOL DISTRICT: $26k → 7%CEDARCREST HIGH SCHOOL: $16k → 9%NORTHSHORE SCHOOL DISTRICT: $29k → 9%BREMERTON SCHOOL DISTRICT: $15k → 10%PASCO SCHOOL DISTRICT: $15k → 11%KENNEWICK SCHOOL DISTRICT: $22k → 11%SHELTON SCHOOL DISTRICT: $17k → 11%SEQUIM SCHOOL DISTRICT: $15k → 12%NORTHPORT SCHOOL DISTRICT: $16k → 13%KETTLE FALLS SCHOOL DISTRICT: $17k → 16%OAK HARBOR SCHOOL DISTRICT: $24k → 7%RIVERVIEW SCHOOL DISTRICT: $14k → 9%WOODINVILLE HS(NORTHSHORE SD): $15k → 9%TACOMA SCHOOL DISTRICT: $16k → 9%KENNEWICK HIGH SCHOOL: $16k → 11%CENTRAL VALLEY SCHOOL DISTRICT: $19k → 12%TOUTLE LAKE SCHOOL DISTRICT: $17k → 13%KETTLE FALLS SCHOOL DISTRICT: $15k → 16%OLYMPIA SCHOOL DISTRICT: $26k → 9%PORT TOWNSEND SCHOOL DISTRICT: $25k → 11%TOUTLE LAKE SCHOOL DISTRICT: $14k → 13%MOSES LAKE SCHOOL DISTRICT: $17k → 14%EDMONDS SCHOOL DISTRICT: $30k → 9%TACOMA SCHOOL DISTRICT: $16k → 9%PORT TOWNSEND SCHOOL DISTRICT: $21k → 11%SAMMAMISH SENIOR HIGH: $15k → 9%BATTLE GROUND SCHOOL DISTRICT: $17k → 9%BETHEL SCHOOL DISTRICT: $36k → 9%ARLINGTON SCHOOL DISTRICT: $15k → 9%BETHEL SCHOOL DISTRICT: $29k → 9%SKYVIEW HIGH SCHOOL(VANCOUVER SD): $16k → 9%ARLINGTON SCHOOL DISTRICT: $14k → 9%VANCOUVER SCHOOL DISTRICT: $15k → 9%PENINSULA SCHOOL DISTRICT: $15k → 9%PUYALLUP SCHOOL DISTRICT: $35k → 9%PUYALLUP SCHOOL DISTRICT: $33k → 9%HIGHLINE SCHOOL DISTRICT: $31k → 9%LAKE WASHINGTON SCHOOL DISTRICT: $30k → 9%SEATTLE PUBLIC SCHOOLS: $78k → 9%SEATTLE PUBLIC SCHOOLS: $50k → 9%AUBURN SCHOOL DISTRICT: $43k → 9%AUBURN SCHOOL DISTRICT: $37k → 9%FEDERAL WAY SCHOOL DISTRICT: $72k → 9%FEDERAL WAY SCHOOL DISTRICT: $60k → 9%KENT SCHOOL DISTRICT: $28k → 9%ISSAQUAH SCHOOL DISTRICT: $56k → 9%RENTON SCHOOL DISTRICT: $42k → 9%RENTON SCHOOL DISTRICT: $30k → 9%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.

95%of every dollar goes to organizations it has funded before.
$2.2M · 55 repeat orgs$118k to everyone else

55 repeat relationships: 55 still active in FY2025, 0 since wound down; 6 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

55
5

Total granted

$2.2M
$58k

Still filing today

5%
0%

New vs renewed · share of each year

In FY2025, 95% of grant dollars renewed an existing relationship; $60k went to new ones.

50%100%’24’25
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

  • FW
    Federal Way Public Schools
    2× · 2024–2025 · $144k
  • SP
    Seattle Public Schools
    2× · 2024–2025 · $137k
  • EP
    Everett Public Schools
    2× · 2024–2025 · $134k

Funded once

  • HS
    HIGHLINE SCHOOL DISTRICT 401
    one grant, 2024 · $31k
  • CS
    Cheney School District 360
    one grant, 2024 · $11k
  • FS
    FIFE SCHOOL DISTRICT
    one grant, 2024 · $6k
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

3 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. 3 of the 66 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
3/3
Grantees still filing
1/3
Grew since first funded

Where the money sits, by cause and then by grantee

Federal Way Public Schools: $143,579 · OtherFederal Way Public SchoolsSeattle Public Schools: $137,440 · OtherSeattle Public SchoolsEverett Public Schools: $133,844 · OtherEverett Public SchoolsBELLEVUE SCHOOL DISTRICT: $132,702 · OtherBELLEVUE SCHOOL DISTRICTISSAQUAH SCHOOL DISTRICT: $92,299 · OtherAUBURN SCHOOL DISTRICT: $80,529 · Other+58 more: $1,549,977 · Other+58 moreSKYVIEW HIGH SCHOOL BOOSTERS CLUB: $31,168 · EducationSpokane International Academy: $25,982 · Education
Other$2,270,370Education$57,150

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetSKYVIEW HIGH SCHOOL BOOSTERS CLUB: $31,168 over 2y, 3.9% of budgetARLINGTON EDUCATION ASSOCIATION ARLINGTON SCHOOL DISTRICT NO 16: $29,597 over 2y, 13% of budgetSpokane International Academy: $25,982 over 2y, 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.

  • Who funds SKYVIEW HIGH SCHOOL BOOSTERS CLUB ↗
  • Who funds ARLINGTON EDUCATION ASSOCIATION ARLINGTON SCHOOL DISTRICT NO 16 ↗
  • Who funds Spokane International Academy ↗

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.

For Inspiration and R…InvestedWashington Music Educ…Building ChangesGenYOUTH IncorporatedSchool's Out Washingt…KidvantagePage Ahead Childrens …Kaiser Foundation Hea…Share Our StrengthRound It Up America I…Twinstar Community Fo…
For Inspiration and Recognition of Science and Technology (FIRST)NH63.1× affinity40 shared granteesties to 11 of 11Hover any node to trace its alignments.Compare side by side →

Open a dossier: For Inspiration and Recognition of Science and Technology (FIRST) · Invested · Washington Music Educators Association · Building Changes · GenYOUTH Incorporated · School's Out Washington · Kidvantage · Page Ahead Childrens Literacy Prgm · Kaiser Foundation Health Plan of Washington · Share Our Strength · Round It Up America Inc · Twinstar Community 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 Washington First Robotics funds: left to right is the share of its income from government, bottom to top the share from Washington First Robotics. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%4%8%15%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 66 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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    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