Skip to content

· Public charity

Charlottesville-Albemarle

The Trades Tech Education Foundation promotes careers in skilled trades and technical fields for high school students and adult learners in the piedmont region of Virginia.

$12k
Granted FY2020
23
Grants FY2020
1
States reached
$2k
Largest
01What it funds
01FY2020 · 23 grants

Where the money goes

Grants by size, and the largest recipients.

$425
Median grant
1
States reached
$1.1M
Total assets
Largest grants
RecipientAmount
FATEMA DOST$1,500
KENLEY WOODS$1,000
ALYYSA GIBSON$1,000
LIAM MATHER KIDD$1,000
REBECCA GIMBERT$1,000
AMANDA GIMBERT$1,000
MAYA CLARKE$560
MOHAMMED RESHAD$560
JASENGNAW LAHTAW$560
FNU BISMILLAS$425
ZAWADI METRIACE$425
LAQUAN BANKS$425
SAMANTHA BOWMAN$390
EMILY ALLEN$300
EVELYN OUTLAND$300
02Its field
02the grantee network

0 grantees tracked through their own filings, 2020–2020.

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

How this is measured

Counted here: distinct organizations funded across 2020 to 2020, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 23 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

FATEMA DOST: $1,500 · OtherFATEMA DOSTALYYSA GIBSON: $1,000 · OtherALYYSA GIBSONLIAM MATHER KIDD: $1,000 · OtherLIAM MATHER KIDDREBECCA GIMBERT: $1,000 · OtherREBECCA GIMBERTAMANDA GIMBERT: $1,000 · OtherAMANDA GIMBERTKENLEY WOODS: $1,000 · OtherKENLEY WOODSMAYA CLARKE: $560 · OtherJASENGNAW LAHTAW: $560 · OtherMOHAMMED RESHAD: $560 · OtherFNU BISMILLAS: $425 · OtherZAWADI METRIACE: $425 · OtherLAQUAN BANKS: $425 · Other+11 more: $3,040 · Other+11 more
Other$12,495

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 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.

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 23 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 2020, released 2020. 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 (grants abroad are filed by region only, and grants under $5,000 are not itemized), so the figures above are from FY2020, the most recent year this funder named its grantees.

Source object · view filing

Play a game based on Charlottesville-Albemarle’s filings →

More from the funding graph