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· Public charity

Disabled American Veterans Department of Maryland

Provide service and assistance to disabled war veterans.

$62k
Granted FY2020
6
Grants FY2020
1
States reached
$9k
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, FY2018 to 2020.

Human Services$67k
02FY2020 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 6 grants below total $41,596, the rows itemized in this filing. The $61,596 headline is the total grant expense on the return; the other $20,000 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.
$6,900
Median grant
1
States reached
$89k
Total assets
Largest grants
RecipientAmount
DAV CHAPTER #36$8,946
DAV CHAPTER #34$6,950
DAV CHAPTER #33$6,900
DAV CHAPTER #13$6,900
DAV CHAPTER #26$6,900
DAV CHAPTER #1$5,000
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 (FY18–20) land where the poverty rate runs at 9%, against an area that typically sits at 6%. 90% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%DAV CHAPTER #33: $7k → 6%DAV CHAPTER #1: $5k → 6%DAV CCHAPTER #4: $5k → 8%DAV CHAPTER #34: $7k → 8%DAV CHAPTER #26: $7k → 8%DAV CHAPTER 17: $5k → 11%DAV CHAPTER #36: $9k → 13%DAV CHAPTER #33: $5k → 6%DISABLED AMERICAN VETERANS EASTERN SHORE CHAPTER #34: $5k → 13%DAV CHAPTER #13: $7k → 6%DAV CHAPTER #36: $5k → 13%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.
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.

57%of every dollar goes to organizations it has funded before.
$38k · 3 repeat orgs$29k to everyone else

3 repeat relationships: 3 still active in FY2020, 0 since wound down; 3 grantees were first funded in FY2020 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
2

Total granted

$38k
$10k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2020, 55% of grant dollars renewed an existing relationship; $19k went to new ones.

50%100%’18’20
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

  • DA
    DISABLED AMERICAN VETERANS
    2× · 2018–2020 · $14k
  • DA
    DISABLED AMERICAN VETERANS
    2× · 2018–2020 · $12k
  • DA
    DISABLED AMERICAN VETERANS AUXILIARY INC
    2× · 2018–2020 · $12k

Funded once

  • DC
    DAV CHAPTER 17
    one grant, 2018 · $5k
  • DA
    DISABLED AMERICAN VETERANS
    one grant, 2018 · $5k
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

0 grantees tracked through their own filings, 2018–2020.

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

How this is measured

Counted here: distinct organizations funded across 2018 to 2020, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 8 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

DISABLED AMERICAN VETERANS: $13,946 · OtherDISABLED AMERICAN VETERANSDISABLED AMERICAN VETERANS: $11,950 · OtherDISABLED AMERICAN VETERANSDISABLED AMERICAN VETERANS AUXILIARY INC: $11,900 · OtherDISABLED AMERICAN VETERANS AUXILIARY INCDISABLED AMERICAN VETERANS: $6,900 · OtherDISABLED AMERICAN VETERANSDISABLED AMERICAN VETERANS: $6,900 · OtherDISABLED AMERICAN VETERANSDAV CHAPTER 17: $5,000 · OtherDAV CHAPTER 17DISABLED AMERICAN VETERANS: $5,000 · OtherDISABLED AMERICAN VETERANSDISABLED AMERICAN VETERANS: $5,000 · OtherDISABLED AMERICAN VETERANS
Other$66,596

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 8 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 and reports $17k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2020, the most recent year this funder named its grantees.

Source object · view filing

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