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· Private foundation

Alice D Hamling Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$78k
Granted FY2025still arriving
35
Grants FY2025still arriving
3
States reached
$26k
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$774kHousing & Shelter$65kYouth Development$10kCrime & Legal$10kRecreation & Sports$6kCommunity Improvement$5k
02FY2025 · 35 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k34 grants · $52k
  • $10k–50k1 grant · $26k
$1,500
Median grant
3
States reached
$435k
Total assets
Largest grants
RecipientAmount
COLLEGE TRACKS$26,000
OLUWASEMILORE CHRIS-ALAO CO TOWSON$3,400
KALE TESFAYE CO TRINITY WASH UNIV$3,000
LUKE GRAHAM CO UNIV OF PITTSBURGH$2,750
BETEL TESFAYE CO MONTGOMERY COLLEG$2,000
LILY SELAMU CO UNIV OF MARYLAND$2,000
MAHALIA ALAMI CO TOWSON UNIV$2,000
RODWELL COSBERT CO STEVENSON UNIV$2,000
KAYA GIBSON CO BOWIE ST UNIV$2,000
JENNIFER PALACIOS CO MONTGOMERY CO$2,000
KELLYRAN NZEINGUNG CO MONTGOMERY C$2,000
GLORIA DIJDJO CO MORGAN STATE$2,000
AMENE ERESSA CO UNIV OF MARYLAND$2,000
AHMED BAKAYOKO CO UNIV OF MD BALTI$2,000
FABIOLA ORDONEZ CO UNIV OF MD$2,000
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 11%, against an area that typically sits at 7%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%LUKE GRAHAM CO UNIV OF PITTSBURGH: $3k → 11%KALE TESFAYE CO TRINITY WASH UNIV: $3k → 14%FERNANDINA BEACH POLICE: $10k → 7%UNCA FOUNDATION: $50k → 12%YMCA CAMP SEAFARER: $5k → 16%SALVATION ARMY BOYS & GIRLS CLUB: $10k → 14%JENNIFER PALACIOS CO MONTGOMERY CO: $2k → 8%FABIOLA ORDONEZ CO UNIV OF MD: $2k → 11%AHMED BAKAYOKO CO UNIV OF MD BALTI: $2k → 11%GLORIA DIJDJO CO MORGAN STATE: $2k → 19%LAUMAR BROPLEH CO HOWARD UNIV: $1k → 14%UNCA FOUNDATION: $25k → 12%YMCA CAMP SEAFARER: $5k → 16%KELLYRAN NZEINGUNG CO MONTGOMERY C: $2k → 8%AMENE ERESSA CO UNIV OF MARYLAND: $2k → 11%BRIANA CONTRERAS CO MORGAN ST UNIV: $1k → 19%OBAAHEMAA MENSHA CO GW UNIV: $2k → 14%UNCA FOUNDATION: $25k → 12%YMCA CAMP SEAFARER: $5k → 16%BETEL TESFAYE CO MONTGOMERY COLLEG: $2k → 8%LILY SELAMU CO UNIV OF MARYLAND: $2k → 11%OLUWASEMILORE CHRIS-ALAO CO TOWSON: $3k → 11%DELILAH CRUZ CO GEORGE WASH UNIV: $2k → 14%UNCA FOUNDATION: $25k → 12%YMCA CAMP SEAFARER: $5k → 16%MARANATA KASSAHUN CO MONTGOMERY CO: $2k → 8%NAHUM EPHREM CO UNIV OF MD: $1k → 11%MAHALIA ALAMI CO TOWSON UNIV: $2k → 11%ERINA COUTINHO CO GW UNIV: $1k → 14%UNCA FOUNDATION: $25k → 12%YMCA CAMP SEAFARER: $5k → 16%KEILLY PEREZ CO MONTGOMERY COLLEGE: $1k → 8%TIARA RACHMAN CO UNIV OF MD: $1k → 11%MOUSSE YESHITILA CO TOWSON UNIV: $2k → 11%UNCA FOUNDATION: $25k → 12%CAMP SEAFARER: $5k → 16%YEMESRACHE TASSEW CO TOWSON UNIV: $1k → 11%ASHEVILLE AREA HABITAT FOR HUMANITY: $45k → 12%CAMP SEAFARER: $4k → 16%SEGEN TESFAI CO TOWSON UNIVERSITY: $1k → 11%ASHEVILLE AREA HABITAT FOR HUMANITY: $12k → 12%COLLEGE TRACKS: $26k → 8%RODWELL COSBERT CO STEVENSON UNIV: $2k → 11%ASHEVILLE AREA HABITAT FOR HUMANITY: $8k → 12%COLLEGE TRACKS: $26k → 8%COLLEGE TRACKS: $26k → 8%KAYA GIBSON CO BOWIE ST UNIV: $2k → 11%COLLEGE TRACKS: $26k → 8%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

VT
IL
NY
PA
CA
UT
VA
MD
NC
SC
DC
LA
MS
GA
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.

91%of every dollar goes to organizations it has funded before.
$792k · 74 repeat orgs$78k to everyone else

74 repeat relationships: 31 still active in FY2025, 43 since wound down; 4 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

74
32

Total granted

$792k
$74k

Median revenue growth · since first grant

+29%
+208%

Still filing today

4%
3%

New vs renewed · share of each year

In FY2025, 95% of grant dollars renewed an existing relationship; $4k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

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

’17’18’19’20’21’22’23’24’25
Housing & ShelterRecreation & SportsEducationOther
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

  • CI
    COLLEGETRACKS INC
    4× · 2022–2025 · $104k · revenue +2%
  • AA
    ASHEVILLE AREA HABITAT FOR HUMANITY INC
    3× · 2017–2019 · $65k · revenue +129%
  • BS
    BETHESDA SOCCER CLUB INC
    3× · 2017–2021 · $6k · revenue +29%

Funded once

  • SA
    SALVATION ARMY BOYS & GIRLS CLUB
    one grant, 2017 · $10k
  • IG
    Individual grant recipient
    one grant, 2022 · $10k
  • JL
    JENNIE LINDSTROM CO UNIV OF UTAH
    one grant, 2018 · $8k
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

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 110 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)
4/4
Grantees still filing
4/4
Grew since first funded

Where the money sits, by cause and then by grantee

UNCA FOUNDATION: $175,000 · OtherUNCA FOUNDATIONIndividual grant recipient: $24,625 · Other+105 more: $495,630 · Other+105 moreCOLLEGETRACKS INC: $104,000 · EducationCOLLEGETRACKS…ASHEVILLE AREA HABITAT FOR HUMANITY INC: $65,000 · Housing & ShelterBETHESDA SOCCER CLUB INC: $6,060 · Recreation & Sports
Other$695,255Education$104,000Housing & Shelter$65,000Recreation & Sports$6,060

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

25%50%75%100%$1.0Mgrantee revenue →↑ funder's share of their budgetCOLLEGETRACKS INC: $104,000 over 4y, 1.1% of budgetBETHESDA SOCCER CLUB INC: $6,060 over 3y, 0.1% of budgetSHILOH COMMUNITY ASSOCIATION: $5,000 over 1y, 3.0% 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 COLLEGETRACKS INC ↗
  • Who funds ASHEVILLE AREA HABITAT FOR HUMANITY INC ↗
  • Who funds BETHESDA SOCCER CLUB INC ↗
  • Who funds SHILOH COMMUNITY ASSOCIATION ↗

How much its grantees rely on government

Each dot is one organization Alice D Hamling Inc funds: left to right is the share of its income from government, bottom to top the share from Alice D Hamling Inc. 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%1%3%4%5%share of the org’s 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 · 0–5%
    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 110 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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