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· Public charity

Korean Resource Center Inc

To promote korean history and cultural appreciation, enhance korean heritage in the korean american community, provide social services to the korean community, empower the korean american community through civic education and civic participation, ensure community economic development and safe sanitary, and affordable housing for…

$289k
Granted FY2019
3
Grants FY2019
1
States reached
$124k
Largest
01What it funds
0175% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2019.

Crime & Legal$192kCivil Rights$158kPublic Benefit$77kOther$0
02FY2019 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $268,652, the rows itemized in this filing. The $288,847 headline is the total grant expense on the return; the other $20,195 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.
$76,892
Median grant
1
States reached
$3.4M
Total assets
Largest grants
RecipientAmount
KCCEB - KOREAN COMMUNITY CENTER OF THE EAST BAY$124,080
RESILIENCE ORANGE COUNTY$76,892
FILIPINO ADVOCATES FOR JUSTICE$67,680
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 (FY18–19, $130k) land where the poverty rate runs at 11%, against an area that typically sits at 10%. 25% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 10%FILIPINO ADVOCATES FOR JUSTICE: $68k → 10%THAI CDC: $33k → 14%FILIPINO ADVOCATES FOR JUSTICE: $30k → 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 field
04the 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.

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

0
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
4/4
Grantees still filing
4/4
Grew since first funded

Where the money sits, by cause and then by grantee

KOREAN COMMUNITY CENTER OF THE EAST BAY: $219,875 · OtherKOREAN COMMUNITY CENTER OF THE EAST BAYFILIPINO ADVOCATES FOR JUSTICE: $97,350 · Human ServicesFILIPINO ADVOCATES FOR JUSTICETHAI COMMUNITY DEVELOPMENT CENTER: $32,522 · Human ServicesTHAI COMMUNITY DEVELOPMENT CENTERCHARITABLE VENTURES OF ORANGE COUNTY: $76,892 · Community ImprovementCHARITABLE VENTURES …
Other$219,875Human Services$129,872Community Improvement$76,892

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 budgetKOREAN COMMUNITY CENTER OF THE EAST BAY: $219,875 over 2y, 12% of budgetFILIPINO ADVOCATES FOR JUSTICE: $97,350 over 2y, 6.5% of budgetCHARITABLE VENTURES OF ORANGE COUNTY: $76,892 over 1y, 0.7% of budgetTHAI COMMUNITY DEVELOPMENT CENTER: $32,522 over 1y, 5.1% 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.

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 set of overlaps that mostly run through this funder rather than between each other.

American Online Giving Foundation IncDE8.2× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation Inc

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 Korean Resource Center Inc funds: left to right is the share of its income from government, bottom to top the share from Korean Resource Center Inc. 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%15%30%45%60%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–60%
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Korean Resource Center Inc?

    Find your warmest path to Korean Resource Center Inc through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    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 4 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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2019, the most recent year this funder made grants.

    Source object · view filing

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