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DataCentersExposed
County data-center profile

Dakota County, Minnesota

DataCentersExposed tracks 5 AI data centers in Dakota County, Minnesota — 0 operating and 3 in the pipeline, drawing 262 MW of reported power demand, led by Meta Platforms, Inc..

Sources: Methodology, Coverage scorecard

Facilities
5
Operating
0
Pipeline
3

Reporting by · Updated May 29, 2026

Overview

What's happening in Dakota County

Facilities here with disclosed capacity draw 262 MW from the local grid. Data-center load on this scale is the single biggest driver of recent capacity-market price increases — costs that flow through to every ratepayer in the service territory, not just the operators.

Meta Platforms, Inc. has the largest presence in Dakota County. We resolve project codenames and shell LLCs back to the corporate parent wherever the public record allows, so the table below names who is actually behind each site.

Below: every tracked facility in the county, the active state legislation that names it or its county, and local news. Commissioner vote records arrive in a later release; the placeholders show where that accountability data will land.

5 facilities

Every tracked facility

FacilityOperatorStatusMW
TRACT Data Center
Farmington
Proposed
TRACT Data Center
Cannon Falls
Proposed
MSP1 Data Center
Eagan
Under construction12
Oppidan Data Center
Apple Valley
Withdrawn250
Meta Rosemount
ROSEMOUNT
Meta Platforms, Inc.Mapped (unverified)
Accountability

County commissioners

How the Dakota County board votes on each data-center matter — the rezonings, the abatements, the water permits — is built from public-meeting minutes and roll-call records. Know of a vote we should be tracking? Tell us.

Methodology & sources

The risk score weights project exposure (40%), power demand (30%), water draw (15%), and land footprint (15%). Water and land are not yet measured for our facilities, so those arcs render as "not yet measured" and the weights are renormalized over the factors we can source today — when the data lands, the score updates.

Every row carries a confidence level (high / medium / low) and a source URL. Spot an error? Tell us.