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· Public charity

African Economic Development Solutions

African Economic Development Solutions (aeds) builds wealth within african immigrant communities in the twin cities through economic development activities.

$3.1M
Granted FY2020
203
Grants FY2020
1
States reached
$188k
Largest
01What it funds
01FY2020 · 203 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 203 grants below total $2,630,000, the rows itemized in this filing. The $3,100,457 headline is the total grant expense on the return; the other $470,457 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 · FY2020

  • $10k–50k199 grants · $2.0M
  • $50k–250k4 grants · $640k
$10,000
Median grant
1
States reached
$14M
Total assets
Largest grants
RecipientAmount
Alkarama Mall Inc$187,500
Madina Management Group$177,500
Riverside Mall$157,500
Individual grant recipient$117,500
Amal Shop$10,000
Blush & Whim LLC$10,000
R A James & Associates$10,000
Individual grant recipient$10,000
Nimostyle$10,000
Eden Recreation LLC$10,000
scrum technologies$10,000
Tami And The Bachelor$10,000
Bridal Aisle Wedding Consignment LLC$10,000
SRS Cards Inc$10,000
Eurotrendz$10,000
02The need
02

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 (FY20–20) land where the poverty rate runs at 12%, against an area that typically sits at 6%. 96% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%Skyy Event & Designs LLC: $10k → 5%Abdikarim Ali: $10k → 5%Woodburry Tobaco & Cigar Depot Plus: $10k → 6%Ahlam Beauty & Acessories LLC: $10k → 6%classic designs llc: $10k → 7%NCXT LLC: $10k → 11%Phil in the Circle LLC: $10k → 14%Empire Gas & Grocery LLC: $10k → 5%Leonura LLC: $10k → 6%Bass Bass supply: $10k → 7%Ontime health care llc: $10k → 11%Samsam Food Distribution: $10k → 14%Mj Accents: $10k → 6%FortuneFive Sports: $10k → 7%Hagbad Financial LLC: $10k → 11%Go get it tobacco LLC: $10k → 14%Wireless outlet: $10k → 6%Divine Auto Sales LLC: $10k → 7%Heartland Auto Connection: $10k → 11%Barely Brothers Records LLC: $10k → 14%Just Truffles Inc: $10k → 6%Madina Management Group: $178k → 11%2RHawkins LLC: $10k → 14%SRS Cards Inc: $10k → 6%Amal Shop: $10k → 11%Phi Chay Thai Cuisine of MN Corporation: $10k → 14%MinnesotaColdTv: $10k → 11%Emily Savage Rolfing: $10k → 14%Barwaqo clothing llc: $10k → 11%Evergreen Acupuncture LLC: $10k → 14%Hami Express Inc: $10k → 11%Hogan Bard LLC: $10k → 14%U pack Post LLC: $10k → 11%Spinning Wylde LLC: $10k → 14%Top Style LLC: $10k → 11%Center For Lost Objects LLC: $10k → 14%Al Madiina: $10k → 11%Golden Chow Mein: $10k → 14%Ziam Clothing Store: $10k → 11%Hogan Bar Claddagh Cofe: $10k → 14%Karbash Kollection: $10k → 11%White squirrel llc: $10k → 14%Lima Styles: $10k → 11%Brock-Frederick Molden: $10k → 14%Vico'S Collections LLC: $10k → 11%JigJiga Mall: $118k → 11%Alkarama Mall Inc: $188k → 11%Riverside Mall: $158k → 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.
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 field
03the grantee network

1 grantees tracked through their own filings, 2018–2025.

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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 201 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)
1
Early backer (in before they grew)
1/1
Grantees still filing
1/1
Grew since first funded

Where the money sits, by cause and then by grantee

Alkarama Mall Inc: $187,500 · OtherAlkarama Mall IncMadina Management Group: $177,500 · OtherMadina Management GroupRiverside Mall: $157,500 · OtherRiverside MallIndividual grant recipient: $117,500 · Other+195 more: $1,970,000 · Other+195 morePositive Image: $10,000 · Youth Development
Other$2,610,000Youth Development$10,000

Showing the 200 largest grantees by grant value.

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 budgetPositive Image: $10,000 over 1y, 9.5% 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 Positive Image ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Metropolitan Consortium of Community DevelopersMN37.5× affinity21 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Metropolitan Consortium of Community Developers

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization African Economic Development Solutions funds: left to right is the share of its income from government, bottom to top the share from African Economic Development Solutions. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%1%3%6%10%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
    0get no government money at all
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to African Economic Development Solutions?

    Find your warmest path to African Economic Development Solutions through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    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 201 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 (FY2024) is on record and reports $66k 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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