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Computer Science Teachers Association LLC at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Computer Science Teachers Association LLC

Csta is focused on: - creating a thriving community that fosters continuous growth, belonging, and connection among cs educators.

$264k
Granted FY2025still arriving
4
Grants FY2025still arriving
4
States reached
$7k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
0190% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2025.

Education$414kArts & Culture$43kMembership Benefit$25kScience & Tech$5kRecreation & Sports$5kOther$0
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 4 grants below total $24,440, the rows itemized in this filing. The $264,293 headline is the total grant expense on the return; the other $239,853 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.
$6,380
Median grant
4
States reached
$9.4M
Total assets
Largest grants
RecipientAmount
CSTA MIAMI$6,610
CSTA DALLAS FORT WORTH$6,380
CSTA SOUTH CAROLINA$5,730
CSTA OHIO$5,720
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 (FY19–25) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 86% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%CSTA ARIZONA: $14k → 11%CSTA GREATER BOSTON: $11k → 8%CSTA WMASS CHAPTER: $10k → 12%SACRAMENTO COUNTY OFFICE OF EDUCATION: $6k → 12%CSTA MID-HUDSON VALLEY: $9k → 9%CSTA NEW YORK CITY: $9k → 20%CSTA DALLAS FORT WORTH: $10k → 14%COMPUTER SCIENCE ALLIANCE: $200k → 12%CSTA SOUTH CAROLINA: $6k → 12%CSTA MIAMI: $12k → 15%CSTA IOWA: $41k → 15%CSTA WI-DAIRYLAND: $10k → 17%CSTA CONNECTICUT: $12k → 11%CSTA GEORGIA: $14k → 6%CSTA OHIO: $6k → 12%CSTA TOP OF THE WORLD: $5k → 10%CSTA NEW JERSEY: $25k → 4%CSTA ARIZONA: $13k → 11%CSTA DALLAS-FORTH WORTH: $10k → 14%CSTA OF NEW MEXICO: $20k → 12%CSTA MIAMI: $9k → 15%CSTA NEW JERSEY: $9k → 4%CSTA DALLAS FORT WORTH: $6k → 14%CSTA MIAMI: $7k → 15%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.

Which US states its grants reach

AK
WI
NY
MA
IA
OH
NJ
CT
CA
KY
AZ
NM
SC
GA
TX
FL
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.

15%of every dollar goes to organizations it has funded before.
$86k · 3 repeat orgs$473k to everyone else

3 repeat relationships: 2 still active in FY2025, 1 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
19

Total granted

$86k
$462k

Still filing today

0%
21%

New vs renewed · share of each year

In FY2025, 53% of grant dollars renewed an existing relationship; $11k went to new ones.

50%100%’19’20’21’22’23’24’25
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

  • CS
    COMPUTER SCIENCE TEACHERS ASSOCIATION LLC
    3× · 2020–2024 · $32k
  • CM
    CSTA MIAMI
    3× · 2023–2025 · $28k
  • C
    CSTA
    3× · 2022–2025 · $26k

Funded once

  • CS
    COMPUTER SCIENCE ALLIANCE
    one grant, 2023 · $200k · revenue -50%
  • CI
    CSTA IOWA CHAPTER
    one grant, 2022 · $41k
  • IG
    Individual grant recipient
    one grant, 2021 · $35k
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

5 grantees tracked through their own filings, 2017–2026.

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

How this is measured

Counted here: distinct organizations funded across 2017 to 2026, not grant rows in a single year, so this will not match the grant count on the cover. 5 of the 24 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.

2
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
4/5
Grantees still filing
2/5
Grew since first funded

Where the money sits, by cause and then by grantee

CSTA IOWA CHAPTER: $40,940 · OtherCSTA IOWA CHAPTERIndividual grant recipient: $35,000 · OtherIndividual grant recipientCOMPUTER SCIENCE TEACHERS ASSOCIATION LLC: $32,110 · OtherCOMPUTER SCIENCE TEACHERS ASSOCIATION LLCCSTA MIAMI: $27,930 · OtherCSTA MIAMICSTA: $25,790 · OtherCSTAIndividual grant recipient: $25,000 · OtherIndividual grant recipientCSTA SOUTH CAROLINA CHAPTER: $24,500 · OtherCSTA SOUTH CAROLINA CHAPTERCOMPUTER SCIENCE TEACHERS ASSOCIATION LLC CONNECTICUT: $11,875 · OtherCSTA GREATER BOSTON CHAPTER: $11,123 · Other+11 more: $81,710 · Other+11 moreCOMPUTER SCIENCE ALLIANCE: $200,000 · EducationCOMPUTER SCIENCE ALLIANCECOMPUTER SCIENCE TEACHERS ASSOCIATION LLC: $20,000 · EducationCOMPUTER SCIENCE TEACHERS ASSOCIATION LLCCSTA GA INC: $14,000 · EducationCSTA GA INCCSTA NJ: $9,120 · Education
Other$315,978Education$243,120

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetCOMPUTER SCIENCE ALLIANCE: $200,000 over 1y, 25% of budgetCOMPUTER SCIENCE TEACHERS ASSOCIATION LLC: $20,000 over 1y, 1.2% of budgetCSTA GA INC: $14,000 over 1y, 30% of budgetCSTA NJ: $9,120 over 1y, 79% of budgetKENTUCKY SCIENCE AND TECHNOLOGY CORP: $5,300 over 1y, 0.1% 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 COMPUTER SCIENCE ALLIANCE ↗
  • Who funds COMPUTER SCIENCE TEACHERS ASSOCIATION LLC ↗
  • Who funds CSTA GA INC ↗
  • Who funds CSTA NJ ↗
  • Who funds KENTUCKY SCIENCE AND TECHNOLOGY CORP ↗

How much its grantees rely on government

Each dot is one organization Computer Science Teachers Association LLC funds: left to right is the share of its income from government, bottom to top the share from Computer Science Teachers Association LLC. Bigger dots raise more.

2022
’20’21’22’23’24’25
no gov · 10%6%23%51%90%funder's share of their income ↑0%25%50%75%100%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get 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
    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.

    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 24 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home