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· Public charity

The American University of Rome

THE AMERICAN UNIVERSITY OF ROME is a degree-granting american university.

$2.2M
Granted FY2025still arriving
4
Grants FY2025still arriving
3
States reached
$30k
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$325k
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 4 grants below total $75,348, the rows itemized in this filing. The $2,160,746 headline is the total grant expense on the return; the other $2,085,398 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 $10k1 grant · $9k
  • $10k–50k3 grants · $67k
$24,612
Median grant
3
States reached
$22M
Total assets
Largest grants
RecipientAmount
EMORY UNIVERSITY$29,704
MANHATTAN COLLEGE$24,612
WESTMINSTER UNIVERSITY$12,306
FASHION INSTITUTE OF TECHNOLOGY$8,726
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 16%, against an area that typically sits at 12%. 78% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%FASHION INSTITUTE OF TECHNOLOGY: $9k → 17%MANHATTAN COLLEGE: $25k → 28%AMERICAN UNIVERSITY: $16k → 14%WESTMINSTER UNIVERSITY: $12k → 8%EMORY UNIVERSITY: $44k → 14%UNIVERSITY OF MARYLAND: $20k → 11%FASHION INSTITUTE OF TECHNOLOGY: $8k → 17%MANHATTAN COLLEGE: $22k → 28%EMORY UNIVERSITY: $30k → 14%UNIVERSITY OF MARYLAND: $15k → 11%LIM COLLEGE: $38k → 17%EMORY UNIVERSITY: $22k → 14%UNIVERSITY OF MARYLAND: $12k → 11%LIM COLLEGE: $18k → 17%EMORY UNIVERSITY: $5k → 14%UNIVERSITY OF MARYLAND: $12k → 11%LIM COLLEGE: $16k → 17%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.

Grants abroad, by region: $1.1M on the FY2025 return

Schedule F, as filed: 8 regions, all to individuals. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Europe (including Iceland and Greenland)$729k · 66% · 92 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

South America$88k · 8% · 9 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

Russia and Neighboring States$87k · 8% · 11 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

Middle East and North Africa$65k · 6% · 9 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

South Asia$57k · 5% · 7 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

Sub-Saharan Africa$49k · 4% · 5 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

North America (Canada and Mexico)$30k · 3% · 3 people

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

East Asia and the Pacific$6k · 1% · 1 person

Stated purpose: STUDENT SCHOLARSHIPS AND STUDENT ASSISTANCE

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. 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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

64%of every dollar goes to organizations it has funded before.
$207k · 3 repeat orgs$118k to everyone else

3 repeat relationships: 2 still active in FY2025, 1 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
5

Total granted

$207k
$97k

Median revenue growth · since first grant

+32%
+58%

Still filing today

100%
40%

New vs renewed · share of each year

In FY2025, 72% of grant dollars renewed an existing relationship; $21k 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

  • EU
    Emory University
    4× · 2021–2025 · $101k · revenue +32%
  • UNIVERSITY OF MARYLAND COLLEGE PARK FOUNDATION INC
    4× · 2017–2020 · $59k · revenue +72%
  • MU
    Manhattan University
    2× · 2024–2025 · $47k · revenue +2%

Funded once

  • LC
    LIM COLLEGE
    one grant, 2020 · $38k
  • LI
    LABORATORY INSTITUTE OF MERCHANDISING FASHION EDUCATION FOUNDATION INCgraduated
    one grant, 2019 · $18k · revenue +58%
  • AMERICAN UNIVERSITY
    one grant, 2024 · $16k · revenue -1%
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

7 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. 7 of the 10 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)
2
Early backer (in before they grew)
7/7
Grantees still filing
4/7
Grew since first funded

Where the money sits, by cause and then by grantee

Emory University: $100,675 · EducationEmory UniversityUNIVERSITY OF MARYLAND COLLEGE PARK FOUNDATION INC: $59,486 · EducationUNIVERSITY OF MARYLAND COLLEGE PARK FOUNDATION INCManhattan University: $47,093 · EducationManhattan UniversityAMERICAN UNIVERSITY: $16,379 · EducationAMERICAN UNIVERSITYWESTMINSTER UNIVERSITY: $12,306 · EducationLIM COLLEGE: $37,817 · OtherLIM COLLEGELABORATORY INSTITUTE OF MERCHANDISING FASHION EDUCATION FOUNDATION INC: $18,444 · OtherLABORATORY INSTITUTE OF MERCHAN…LIM COLLEGE: $16,311 · OtherLIM COLLEGEFIT STUDENT HOUSING CORPORATION: $8,726 · OtherFIT STUDENT HOUSING CORPORATIONFASHION INSTITUTE OF TECHNOLOGY: $8,135 · OtherFASHION INSTITUTE OF TECHNOLOGY
Education$235,939Other$89,433

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetEmory University: $100,675 over 4y, 0.0% of budgetManhattan University: $47,093 over 2y, 0.0% of budgetLABORATORY INSTITUTE OF MERCHANDISING FASHION EDUCATION FOUNDATION INC: $18,444 over 1y, 13% of budgetAMERICAN UNIVERSITY: $16,379 over 1y, 0.0% of budgetWESTMINSTER UNIVERSITY: $12,306 over 1y, 0.0% of budgetFIT STUDENT HOUSING CORPORATION: $8,726 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.

How much its grantees rely on government

Each dot is one organization The American University of Rome funds: left to right is the share of its income from government, bottom to top the share from The American University of Rome. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%0%1%3%5%funder's share of their income ↑0%4%8%11%15%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 · 0–15%
    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 10 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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