DC Readiness Methodology

GridCensus scores 164,098 candidate datacenter locations on a single 0–100 DC Readiness score. The score is a weighted blend of ten factors derived from public data sources. It is a screening tool to triage where to look first — not a site-specific engineering, environmental, or interconnection assessment.

Scoring weights

FactorWeightWhat it captures
Power availability25%Estimated deliverable capacity, substation proximity, and headroom.
Speed-to-power20%Interconnection-queue dynamics, substation adjacency, transmission distance.
Fiber15%Count of nearby fiber providers and internet-exchange proximity.
Water10%Water-stress index (cooling-water availability proxy).
Hazard10%FEMA National Risk Index and flood-zone exposure.
Labor5%Construction-trades employment and wage data.
Existing datacenter5%Proximity to existing datacenter clusters and ecosystem.
Land5%Estimated land price per acre and parcel size.
Tax3%Presence of datacenter tax incentives in the jurisdiction.
Climate2%Cooling/heating degree days and mean temperature.

Honest limitations

FAQ

What does the DC Readiness score mean?
It is a 0–100 screening estimate that blends ten weighted factors into a single number. A higher score means a site screens better across power, speed-to-power, fiber, water, and hazard. It is a starting point for site selection, not a substitute for site-specific engineering, environmental, or interconnection studies.
Is the catalogued capacity actually available power?
No. 'Catalogued candidate capacity' is the sum of per-site available-capacity estimates — a theoretical aggregate, not deliverable power and not power available now. Actual deliverable capacity depends on interconnection studies and utility commitments.
Where does the data come from?
Public sources including FEMA's National Risk Index, FCC fiber data, EIA electricity rates, FERC interconnection queues, parcel and land-use records, and climate normals. Scores are derived estimates and refresh monthly.
How often is the dataset updated?
The aggregate dataset refreshes monthly. Every page shows a machine-readable 'Dataset updated' timestamp.

Dataset updated . Screening estimates derived from public data sources.