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The Consensus Council Inc

Facilitating conversations and building agreements that empower people, transform communities, and advance the public good.

$67k
Granted FY2025still arriving
6
Grants FY2025still arriving
1
States reached
$11k
Largest
01What it funds
01FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k1 grant · $10k
  • $10k–50k5 grants · $56k
$11,200
Median grant
1
States reached
$430k
Total assets
Largest grants
RecipientAmount
TATE TOPA ELEMENTARY SCHOOL$11,200
BISMARCK PUBLIC SCHOOL DISTRICT 1$11,200
WAHPETON PUBLIC SCHOOL DISTRICT 37$11,200
DIVIDE COUNTY SCHOOL DISTRICT$11,200
TURTLE MOUNTAIN COMMUNITY SCHOOLS$11,200
DEVILS LAKE PUBLIC SCHOOLS$9,882
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 (FY25–25) land where the poverty rate runs at 15%, against an area that typically sits at 8%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%WAHPETON PUBLIC SCHOOL DISTRICT 37: $11k → 10%BISMARCK PUBLIC SCHOOL DISTRICT 1: $11k → 10%DIVIDE COUNTY SCHOOL DISTRICT: $11k → 11%TATE TOPA ELEMENTARY SCHOOL: $11k → 25%TURTLE MOUNTAIN COMMUNITY SCHOOLS: $11k → 26%DEVILS LAKE PUBLIC SCHOOLS: $10k → 10%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

0 grantees tracked through their own filings, 2025–2025.

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

How this is measured

Counted here: distinct organizations funded across 2025 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 6 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)
0
Early backer (in before they grew)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

DIVIDE COUNTY SCHOOL DISTRICT: $11,200 · OtherDIVIDE COUNTY SCHOOL DISTRICTWAHPETON PUBLIC SCHOOL DISTRICT 37: $11,200 · OtherWAHPETON PUBLIC SCHOOL DISTRICT 37Missouri River Educational Cooperative: $11,200 · OtherMissouri River Educational CooperativeTATE TOPA ELEMENTARY SCHOOL: $11,200 · OtherTATE TOPA ELEMENTARY SCHOOLTURTLE MOUNTAIN COMMUNITY SCHOOLS: $11,200 · OtherTURTLE MOUNTAIN COMMUNITY SCHOOLSDEVILS LAKE PUBLIC SCHOOLS: $9,882 · OtherDEVILS LAKE PUBLIC SCHOOLS
Other$65,882

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 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.

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 6 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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