Skip to content
DataCentersExposed
County data-center profile

St. Lawrence County, New York

DataCentersExposed tracks 5 AI data centers in St. Lawrence County, New York — 0 operating and 3 in the pipeline, drawing 676 MW of reported power demand. Its transparent data-center risk score is 0/100.

Sources: Methodology, Coverage scorecard

Facilities
5
Operating
0
Pipeline
3

Reporting by · Updated May 29, 2026

Risk breakdown
4Low
  • Project exposure · 7
  • Power demand · 0
  • Water draw · n/a
  • Land footprint · n/a
Overview

What's happening in St. Lawrence County

Facilities here with disclosed capacity draw 676 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.

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
St Lawrence Data and Agricultural Center
Massena
Petawatt HoldingsProposed200
North Country Data Center
Massena
Proposed176
Former Sears Data Center
Massena
Proposed
New York State Artificial Intelligence Data Center
Massena
Withdrawn300
Old MainMapped (unverified)
Accountability

County commissioners

How the St. Lawrence 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.