· Public charity
Society for Information Management Dallas Area Chapter
Provide further education & business interaction within information management profession.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2023–2025.
Where the money goes
Your grants by size, and where they go.
The 6 grants below total $55,750 — the rows itemised in this filing. The $60,750 headline is the total grant expense reported on the return, so the remaining $5,000 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
By grant size · FY2025
- Under $10k4 grants · $31k
- $10k–50k2 grants · $25k
| Recipient | Amount |
|---|---|
| UNIVERSITY OF TEXAS AT DALLAS | $15,250 |
| FIRST IN TEXAS | $10,000 |
| NONPAREIL INSTITUTE | $9,500 |
| YOUNG WOMEN'S LEADERSHIP ACADEMY | $7,000 |
| BOLD IDEA INC | $7,000 |
| NPOWER | $7,000 |
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 human-services grants (FY25–25, $27k) land where the poverty rate runs at 11%, against an area that typically sits at 11%. 64% of those 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.
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.
7 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. 7 of the 9 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.
- Who funds NPOWER INC ↗
- Who funds FOUNDATION FOR THE YOUNG WOMENS LEADERSHIP ACADEMY ↗
- Who funds Foundation for Inspiration & Recognition of Scienc ↗
- Who funds NONPAREIL INSTITUTE ↗
- Who funds BOLD IDEA INC ↗
- Who funds SAN ANTONIO YOUNG WOMEN'S LEADERSHIP ACADEMY FOUNDATION ↗
- Who funds GIRL SCOUTS OF NORTHEAST TEXAS ↗
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Communities Foundation of Texas Inc · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization Society for Information Management Dallas Area Chapter 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.
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How do I get to Society for Information Management Dallas Area Chapter?
Find your warmest path to Society for Information Management Dallas Area Chapter 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.