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· Public charity

Treatment Assessment Screening Center Inc

To promote the overall well-being of the community by p

$255k
Granted FY2017
6
Grants FY2017
2
States reached
$60k
Largest
01What you fund
01FY2017 · 6 grants

Where the money goes

Your grants by size, and where they go.

The 6 grants below total $249,550 — the rows itemised in this filing. The $254,795 headline is the total grant expense reported on the return, so the remaining $5,245 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 · FY2017

  • $10k–50k3 grants · $83k
  • $50k–250k3 grants · $166k
$50,000
Median grant
2
States reached
$0
Total assets
Largest grants
RecipientAmount
MATFORCE THE YAVAPAI COUNTY SUBSTANCE ABUSE COALITION$60,000
SCOTTSDALE PREVENTION INSTITUTE$56,181
ICAN POSITIVE PROGRAMS FOR YOUTH$50,000
ARIZONA YOUTH PARTNERSHIP$34,250
EMPACT - SUICIDE PREVENTION CENTER$30,500
PARTNERSHIP FOR DRUG-FREE KIDS$18,619
02The need
02

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.

show:

Your human-services grants (FY17–17, $60k) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 10%MATFORCE THE YAVAPAI COUNTY SUBSTANCE ABUSE COALITION: $60k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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.

03Your field
03the grantee network

5 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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 5 of the 6 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.

0
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
4/5
Grantees still filing
4/5
Grew since you first funded

Where your money sits — by cause, then by grantee

SCOTTSDALE PREVENTION INSTITUTE — $56,181 · OtherSCOTTSDALE PREVENTION INSTITUTEPartnership for a Drug-Free America — $18,619 · OtherPartnership for a Drug-Free Ameri…Arizona Youth Partnership — $34,250 · HealthArizona Youth PartnershipEMPACT-SUICIDE PREVENTION CENTER — $30,500 · HealthEMPACT-SUICIDE PREVENTION CEN…MATFORCE YAVAPAI COUNTY SUBSTANCE ABUSE COALITION — $60,000 · Human ServicesMATFORCE YAVAPAI COUNTY SUB…ICAN IMPROVING CHANDLER AREA NEIGHBORHOODS — $50,000 · Youth DevelopmentICAN IMPROVING CHANDLE…
Other$74,800Health$64,750Human Services$60,000Youth Development$50,000

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$10Mgrantee revenue →↑ your share of their budgetMATFORCE YAVAPAI COUNTY SUBSTANCE ABUSE COALITION — $60,000 over 1y, 11% of budgetICAN IMPROVING CHANDLER AREA NEIGHBORHOODS — $50,000 over 1y, 2.5% of budgetArizona Youth Partnership — $34,250 over 1y, 1.5% of budgetEMPACT-SUICIDE PREVENTION CENTER — $30,500 over 1y, 0.1% of budgetPartnership for a Drug-Free America — $18,619 over 1y, 0.3% of budget
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.

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.

Arizona Community FoundationAZ13.2× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Arizona Community Foundation · 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 Treatment Assessment Screening Center Inc 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.

2024
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%19%38%56%75%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–75%
    typical government reliance, FY2025

    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.

    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Treatment Assessment Screening Center Inc?

    Find your warmest path to Treatment Assessment Screening Center Inc 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 6 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

    Generated from your IRS Form 990 e-file return for fiscal year 2017, released 2017. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports $1.0M 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 FY2017, the most recent year this funder named its grantees.

    Source object · view filing

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