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· Public charity

Homesight Community Development

Hscd's primary purpose is to improve the physical, economic, and social environment of historically economically disadvantaged and depressed communitites in the puget sound region of king county, washington.

$933k
Granted FY2024still arriving
13
Grants FY2024still arriving
2
States reached
$269k
Largest
01What it funds
01FY2024 · 13 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 13 grants below total $898,273, the rows itemized in this filing. The $933,055 headline is the total grant expense on the return; the other $34,782 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

  • $10k–50k10 grants · $345k
  • $50k–250k2 grants · $285k
  • $250k+1 grant · $269k
$35,000
Median grant
2
States reached
$3.5M
Total assets
Largest grants
RecipientAmount
LITERACY SOURCE$268,510
ASIAN COUNSELING & REFERRAL SERVICE$211,107
NEIGHBORHOOD HOUSE$73,555
SOMALI COMMUNITY SERVICES OF SEATTLE$43,851
JLE DEVELOPMENT LLC$35,000
ALPHA SHARP DEVELOPMENT PARTNERS INC$35,000
IMPACT DEVELOPMENT GROUP LLP$35,000
LOUIS RUDOLPH HOMES$35,000
6645 SOUTH PROSPECT LLC$35,000
BUILD MOD LLC$35,000
SUSTAINABUILDITY LLC$35,000
CCC JOINT LLC$35,000
C-TRADES INC$21,250
02The need
02

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 (FY24–24, $329k) land where the poverty rate runs at 9%, against an area that typically sits at 9%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 9%ASIAN COUNSELING & REFERRAL SERVICE: $211k → 9%NEIGHBORHOOD HOUSE: $74k → 9%SOMALI COMMUNITY SERVICES OF SEATTLE: $44k → 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 field
03the grantee network

4 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. 4 of the 13 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)
1
Early backer (in before they grew)
4/4
Grantees still filing
1/4
Grew since first funded

Where the money sits, by cause and then by grantee

ASIAN COUNSELING AND REFERRAL SERVICE: $211,107 · Human ServicesASIAN COUNSELING AND REFERRAL SERVICENeighborhood House INC: $73,555 · Human ServicesNeighborhood House INCSOMALI COMMUNITY SERVICES OF SEATTLE: $43,851 · Human ServicesSOMALI COMMUNITY SERVICES OF SEATTLEIMPACT DEVELOPMENT GROUP LLP: $35,000 · OtherIMPACT DEVELOPMENT GROUP LLPALPHA SHARP DEVELOPMENT PARTNERS INC: $35,000 · OtherALPHA SHARP DEVELOPMENT PARTNERS INCBUILD MOD LLC: $35,000 · OtherBUILD MOD LLCCCC JOINT LLC: $35,000 · OtherCCC JOINT LLCLOUIS RUDOLPH HOMES: $35,000 · OtherLOUIS RUDOLPH HOMESSUSTAINABUILDITY LLC: $35,000 · OtherSUSTAINABUILDITY LLC6645 SOUTH PROSPECT LLC: $35,000 · Other6645 SOUTH PROSPECT LLCJLE DEVELOPMENT LLC: $35,000 · OtherJLE DEVELOPMENT LLCC-TRADES INC: $21,250 · OtherC-TRADES INCLITERACY SOURCE A COMMUNITY LEARNING CENTER: $268,510 · EducationLITERACY SOURCE A COMMUNITY LEARN…
Human Services$328,513Other$301,250Education$268,510

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 budgetLITERACY SOURCE A COMMUNITY LEARNING CENTER: $268,510 over 1y, 18% of budgetASIAN COUNSELING AND REFERRAL SERVICE: $211,107 over 1y, 0.5% of budgetNeighborhood House INC: $73,555 over 1y, 0.2% of budgetSOMALI COMMUNITY SERVICES OF SEATTLE: $43,851 over 1y, 5.2% 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 LITERACY SOURCE A COMMUNITY LEARNING CENTER ↗
  • Who funds ASIAN COUNSELING AND REFERRAL SERVICE ↗
  • Who funds Neighborhood House INC ↗
  • Who funds SOMALI COMMUNITY SERVICES OF SEATTLE ↗

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.

HomesightWA13.6× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Homesight · Seattle 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 Homesight Community Development funds: left to right is the share of its income from government, bottom to top the share from Homesight Community Development. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%5%11%20%funder's share of their income ↑0%19%38%56%75%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 · 0–75%
    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 13 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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