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· Private foundation

The Theresa Mao Charitable Foundati

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$100k
Granted FY2024still arriving
8
Grants FY2024still arriving
6
States reached
$60k
Largest
01What it funds
0187% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Education$128kHuman Services$38kReligion$35kArts & Culture$6kHealth$2kPublic Benefit$1kCommunity Improvement$600Other$0
02FY2024 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k6 grants · $7k
  • $10k–50k1 grant · $33k
  • $50k–250k1 grant · $60k
$2,000
Median grant
6
States reached
$8k
Total assets
Largest grants
RecipientAmount
FORDHAM UNIVERSITY$60,000
CATHOLIC CHARITIES$33,000
STRITEH SCHOOL OF MEDICINE$2,000
OUR LADY OF THE LAKE UNIVERSITY$2,000
HEART OF THE NATION$1,000
FRIENDS OF WLRN$1,000
OUR LADY OF ANGELS CHURCH$1,000
OUR LADY OF LOURDES$300
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 (FY17–24) land where the poverty rate runs at 16%, against an area that typically sits at 12%. 64% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%CATHOLIC CHARITIES: $33k → 11%CITY YEAR: $2k → 16%FORDHAM UNIVERSITY: $60k → 17%FORDHAM UNIVERSITY: $20k → 28%OUR LADY OF ANGELS CHURCH: $1k → 5%OUR LADY OF THE LAKE UNIVERSITY: $25k → 16%SOUTH FLORIDA PBS: $1k → 11%ST ELIZABETH OF HUNGARY CATHOLIC: $1k → 13%FLORIDA WLRN: $1k → 15%HEART OF THE NATION: $1k → 17%LOYOLA UNIVERSITY: $2k → 14%CITY YEAR: $1k → 19%CATHOLIC CHARITIES: $2k → 11%CITY YEAR: $1k → 16%FORDHAM UNIVERSITY: $2k → 28%OUR LADY OF THE LAKE UNIVERSITY: $2k → 16%SAINT ELIZABETH: $3k → 13%FLORIDA WLRN: $1k → 15%HEART OF THE NATION CATHOLIC: $500 → 17%LOYOLA UNIVERSITY: $2k → 14%CITY YEAR: $500 → 19%CATHOLIC CHARITIES: $2k → 11%FORDHAM UNIVERSITY: $2k → 28%OUR LADY OF THE LAKE UNIVERSITY: $2k → 16%WLRN FLORIDA: $1k → 15%HEART OF THE NATION CATHOLIC: $300 → 17%LOYOLA UNIVERSITY: $1k → 14%CATHOLIC CHARITIES: $500 → 11%FORDHAM UNIVERSITY: $2k → 28%OUR LADY OF THE LAKE UNIVERSITY: $1k → 16%LOYOLA UNIVERSITY: $1k → 14%CATHOLIC CHARITIES: $500 → 11%FORDHAM UNIVERSITY: $1k → 28%FRIENDS OF WLRN: $1k → 15%LOYOLA UNIVERSITY: $1k → 14%OUR LADY OF THE ANGELS CHURCH: $11k → 11%STRITEH SCHOOL OF MEDICINE: $2k → 14%OUR LADY OF THE ANGELS CHURCH: $8k → 11%OUR LADY OF THE ANGELS CHURCH: $4k → 11%OUR LADY OF THE ANGELS CHURCH: $4k → 11%OUR LADY OF THE ANGELS CHURCH: $2k → 11%OUR LADY OF THE ANGELS CHURCH: $2k → 11%FRANCISCAN RENEWAL CENTER: $1k → 11%KPBS: $2k → 11%KPBS: $1k → 11%ARIZONA PBA: $1k → 11%ARIZONA PBA: $1k → 11%ARIZONA PBA: $500 → 11%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.

Which US states its grants reach

IL
WI
NY
MA
AZ
LA
TX
FL
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.

94%of every dollar goes to organizations it has funded before.
$206k · 11 repeat orgs$13k to everyone else

11 repeat relationships: 3 still active in FY2024, 8 since wound down; 5 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

11
8

Total granted

$206k
$8k

Median revenue growth · since first grant

+39%
+68%

Still filing today

36%
13%

New vs renewed · share of each year

In FY2024, 95% of grant dollars renewed an existing relationship; $5k went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24
EducationArts & CultureHealthOther
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

  • FU
    Fordham University
    6× · 2017–2024 · $87k · revenue +47%
  • OL
    OUR LADY OF THE LAKE UNIVERSITY OF SAN ANTONIO
    4× · 2017–2024 · $30k · revenue +13%
  • LU
    LOYOLA UNIVERSITY OF CHICAGO
    5× · 2017–2023 · $7k · revenue +39%

Funded once

  • IG
    Individual grant recipient
    one grant, 2019 · $3k
  • FR
    FRANCISCAN RENEWAL CENTER INC
    one grant, 2020 · $1k
  • SE
    ST ELIZABETH OF HUNGARY CATHOLIC
    one grant, 2020 · $1k
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

6 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. 6 of the 24 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)
6/6
Grantees still filing
6/6
Grew since first funded

Where the money sits, by cause and then by grantee

Fordham University: $86,500 · EducationFordham UniversityOUR LADY OF THE LAKE UNIVERSITY OF SAN ANTONIO: $30,000 · EducationOUR LADY OF THE LAKE UNIVERSITY OF SAN ANTONIOLOYOLA UNIVERSITY OF CHICAGO: $7,000 · EducationLOYOLA UNIVERSITY OF CHICAGOCATHOLIC CHARITIES: $38,000 · OtherCATHOLIC CHARITIESOUR LADY OF THE ANGELS CHURCH: $30,840 · OtherOUR LADY OF THE ANGELS CHURCHCITY YEAR INC: $4,500 · OtherKPBS: $3,180 · Other+15 more: $16,900 · Other+15 moreSOUTH FLORIDA PUBLIC MEDIA GROUP INC: $1,000 · HealthSOUTH FLORIDA PBS INC: $1,000 · Arts & Culture
Education$123,500Other$93,420Health$1,000Arts & Culture$1,000

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

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetFordham University: $86,500 over 6y, 0.0% of budgetOUR LADY OF THE LAKE UNIVERSITY OF SAN ANTONIO: $30,000 over 4y, 0.0% of budgetLOYOLA UNIVERSITY OF CHICAGO: $7,000 over 5y, 0.0% of budgetCITY YEAR INC: $4,500 over 4y, 0.0% of budgetSOUTH FLORIDA PUBLIC MEDIA GROUP INC: $1,000 over 1y, 0.0% of budgetSOUTH FLORIDA PBS INC: $1,000 over 1y, 0.0% 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 Fordham University ↗
  • Who funds OUR LADY OF THE LAKE UNIVERSITY OF SAN ANTONIO ↗
  • Who funds LOYOLA UNIVERSITY OF CHICAGO ↗
  • Who funds CITY YEAR INC ↗
  • Who funds SOUTH FLORIDA PUBLIC MEDIA GROUP INC ↗
  • Who funds SOUTH FLORIDA PBS INC ↗

How much its grantees rely on government

Each dot is one organization The Theresa Mao Charitable Foundati funds: left to right is the share of its income from government, bottom to top the share from The Theresa Mao Charitable Foundati. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 10%0%1%3%5%funder's share of their income ↑0%6%13%19%25%share of the org’s income from government →median 21%
  • City Year Inc: 21% of income from government
no gov moneyreceives it· size = income
1get 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 · 0–25%
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 24 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-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record but names no grant recipient in the published copy, so the figures above are from FY2024, the most recent year this funder’s grantee list reached the public record.

Source object · view filing

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