· Private foundation
Haji Usman & Hazarabai Mundia
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k5 grants · $18k
- $10k–50k1 grant · $41k
- $250k+1 grant · $418k
| Recipient | Amount |
|---|---|
| HUH MUNDIA SCHOOL | $417,619 |
| Individual grant recipient | $41,000 |
| Individual grant recipient | $5,545 |
| FOOD DISTRIBUTION | $4,128 |
| WINTER CLOTHES DISTRIBUTION | $3,215 |
| RAMADAN FOOD CHARITY | $2,866 |
| Individual grant recipient | $1,825 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your US giving — 7% of grant dollars ($186k). The need read here covers only this US portion; the 93% that went abroad ($2.3M) is mapped below.
Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 7%, against an area that typically sits at 4%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
Beyond the US — 93% of all-years giving ($2.3M)
1 country, by the recipient’s country on the filing.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving. International giving is mapped by the recipient’s country from the same 990filings; comparable need data isn’t available at that grain.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +82% since the first grant, against +66% for the ones you funded once.
33 repeat relationships — 6 still active in FY2025, 27 since wound down; 1 grantees were first funded in FY2025 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 100% of grant dollars renewed an existing relationship; $2k went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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
- HMHUH MUNDIA SCHOOL4× · 2022–2025 · $1.2M
- IGIndividual grant recipient9× · 2017–2025 · $337k
- IGIndividual grant recipient3× · 2017–2019 · $91k
Funded once
- ICISLAMIC CENTER OF LONG ISLANDone grant, 2021 · $55k
- QEQUADRIYA EDUCATION SOCIETYone grant, 2019 · $50k
- IGIndividual grant recipientone grant, 2017 · $30k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
4 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 4 of the 62 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
Government reliance of your grantees
Every dot is one organization Haji Usman & Hazarabai Mundia funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.