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· Public charity

Invested

INVESTED provides immediate help for secondary students in washington to improve their attendance, engagement, and graduation rates.

$433k
Granted FY2025still arriving
8
Grants FY2025still arriving
1
States reached
$41k
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 2025.

Education$2.7M
02FY2025 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 8 grants below total $106,888, the rows itemized in this filing. The $433,078 headline is the total grant expense on the return; the other $326,190 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 $10k2 grants · $13k
  • $10k–50k6 grants · $94k
$10,520
Median grant
1
States reached
$8.9M
Total assets
Largest grants
RecipientAmount
RAINIER BEACH HIGH SCHOOL$40,820
GARFIELD HIGH SCHOOL$11,140
INTERAGENCY ACADEMY$10,540
AKI KUROSE MIDDLE SCHOOL$10,520
FRANKLIN HIGH SCHOOL$10,510
WASHINGTON MIDDLE SCHOOL - SEATTLE$10,220
MCKNIGHT MIDDLE SCHOOL$7,500
KAMIAKIN MIDDLE SCHOOL$5,638
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 (FY17–25) land where the poverty rate runs at 10%, against an area that typically sits at 8%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%EASTMONT SCHOOL DISTRICT: $14k → 9%NORTH THURSTON PUBLIC SCHOOLS: $25k → 9%RICHLAND SCHOOL DISTRICT: $20k → 11%MOUNT VERNON SCHOOL DISTRICT: $17k → 11%BELLINGHAM SCHOOL DISTRICT: $17k → 12%KENNEWICK SCHOOL DISTRICT: $17k → 12%OTHELLO SCHOOL DISTRICT: $15k → 15%MARYSVILLE SCHOOL DISTRICT: $21k → 9%BATTLE GROUND SCHOOL DISTRICT: $17k → 9%WENATCHEE SCHOOL DISTRICT: $17k → 9%PASCO SCHOOL DISTRICT: $53k → 11%KENNEWICK SCHOOL DISTRICT: $43k → 11%MOSES LAKE SCHOOL DISTRICT: $21k → 14%FRANKLIN PIERCE SCHOOL DISTRICT: $23k → 9%SOUTH KITSAP SCHOOL DISTRICT: $15k → 10%PASCO SCHOOL DISTRICT: $20k → 11%OMAK SCHOOL DISTRICT: $15k → 17%EDMONDS SCHOOL DISTRICT: $29k → 9%VANCOUVER SCHOOL DISTRICT: $46k → 9%SUNNYSIDE SCHOOL DISTRICT: $20k → 11%LONGVIEW SCHOOL DISTRICT: $17k → 13%VANCOUVER SCHOOL DISTRICT: $18k → 9%BELLEVUE SCHOOL DISTRICT: $15k → 9%CENTRAL VALLEY SCHOOL DISTRICT: $20k → 12%MUKILTEO SCHOOL DISTRICT: $29k → 9%BETHEL SCHOOL DISTRICT: $43k → 9%TOPPENISH SCHOOL DISTRICT: $15k → 17%BETHEL SCHOOL DISTRICT: $17k → 9%CLOVER PARK SCHOOL DISTRICT: $34k → 9%YAKIMA SCHOOL DISTRICT: $52k → 17%HIGHLINE SCHOOL DISTRICT: $52k → 9%CLOVER PARK SCHOOL DISTRICT: $15k → 9%YAKIMA SCHOOL DISTRICT: $20k → 17%HIGHLINE SCHOOL DISTRICT: $20k → 9%MEDICAL LAKE SCHOOL DISTRICT: $27k → 12%SPOKANE SCHOOL DISTRICT: $75k → 12%AUBURN SCHOOL DISTRICT: $41k → 9%PUYALLUP SCHOOL DISTRICT: $31k → 9%SPOKANE SCHOOL DISTRICT: $28k → 12%SEATTLE SCHOOL DISTRICT: $27k → 9%PUYALLUP SCHOOL DISTRICT: $14k → 9%AUBURN SCHOOL DISTRICT: $16k → 9%FEDERAL WAY SCHOOL DISTRICT: $64k → 9%FEDERAL WAY SCHOOL DISTRICT: $23k → 9%KENT SCHOOL DISTRICT: $61k → 9%KENT SCHOOL DISTRICT: $22k → 9%RENTON SCHOOL DISTRICT: $132k → 9%RAINIER BEACH HIGH SCHOOL: $41k → 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.

84%of every dollar goes to organizations it has funded before.
$2.2M · 56 repeat orgs$418k to everyone else

56 repeat relationships: 3 still active in FY2025, 53 since wound down; 5 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

56
48

Total granted

$2.2M
$368k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 53% of grant dollars renewed an existing relationship; $50k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
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

  • SP
    Seattle Public Schools
    4× · 2020–2025 · $155k
  • RS
    RENTON SCHOOL DISTRICT #403
    3× · 2020–2022 · $144k
  • SP
    SPOKANE PUBLIC SCHOOL DISTRICT #81
    3× · 2018–2021 · $109k

Funded once

  • ML
    MEDICAL LAKE SCHOOL DISTRICT
    one grant, 2024 · $27k
  • GS
    GRANDVIEW SCHOOL DISTRICT
    one grant, 2021 · $13k
  • YS
    YELM SCHOOL DISTRICT
    one grant, 2021 · $12k
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

0 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. 0 of the 109 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

Seattle Public Schools: $154,940 · OtherSeattle Public SchoolsRENTON SCHOOL DISTRICT #403: $144,460 · OtherRENTON SCHOOL DISTRICT #403SPOKANE PUBLIC SCHOOL DISTRICT #81: $109,315 · OtherTACOMA PUBLIC SCHOOLS: $102,440 · Other+105 more: $2,144,689 · Other+105 more
Other$2,655,844

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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.

Washington First RoboticsWA58× affinity25 shared granteesties to 11 of 11Hover any node to trace its alignments.Compare side by side →

Open a dossier: Washington First Robotics · Washington Music Educators Association · GenYOUTH Incorporated · For Inspiration and Recognition of Science and Technology (FIRST) · Share Our Strength · Kaiser Foundation Health Plan of Washington · Building Changes · School's Out Washington · Page Ahead Childrens Literacy Prgm · Kidvantage · Round It Up America Inc · Islandwood

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 Invested funds: left to right is the share of its income from government, bottom to top the share from Invested. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%1%3%6%10%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
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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 109 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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