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Santa Lucia Foundation at a glance

· Public charity

Santa Lucia Foundation

The organization's mission is to provide assistance for medical care, surgery and treatement of eye diseases and other visual problems for disabled, indigent or needy persons; to provide resources and community support for encouraging and supporting patient care, medical education, community education and scientific research relating to…

$275k
Granted FY2025still arriving
2
Grants FY2025still arriving
1
States reached
$125k
Largest
01What it fundsRead
02The needRead
03Its 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, FY2019 to 2025.

International$256kReligion$225kHuman Services$10k
02FY2025 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 2 grants below total $225,000, the rows itemized in this filing. The $275,000 headline is the total grant expense on the return; the other $50,000 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.
$125,000
Median grant
1
States reached
$8k
Total assets
Largest grants
RecipientAmount
ST JOSEPH'S PERUVIAN MISSION$125,000
ST JOSEPH'S PERUVIAN MISSION$100,000
02The need
03

Where the grant dollars land

Across the US and around the world.

Grants abroad, by region: $50k on the FY2025 return

Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Region not stated$50k · 100% · 1 grant

Stated purpose: CONSTR OF SCHOOL

How this is measured
Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
03Its field
04the grantee network

1 grantees tracked through their own filings, 2019–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2019 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 2 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)
1/1
Grantees still filing
1/1
Grew since first funded

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 budgetST JOSEPH'S PERUVIAN MISSION: $481,000 over 6y, 6.4% 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 ST JOSEPH'S PERUVIAN MISSION ↗

How much its grantees rely on government

Each dot is one organization Santa Lucia Foundation funds: left to right is the share of its income from government, bottom to top the share from Santa Lucia Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%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
    1get 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 2 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

    Play a game based on Santa Lucia’s filings →

    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