The Data Center-Related Grid Competition Risk, Projections, Single Horizon, US (v1.0) dataset provides county-level risks of grid competition due to future facility development under four growth scenarios (low, moderate, high, and higher growth) in 2035. The dataset supports energy planning, business development, and grid impact analysis by estimating where data center expansion could increase electricity demand and competition for grid capacity.
The Data Center-Related Grid Competition Risk, Projections, Single Horizon, US (v1.0) dataset provides county-level projections of data center facilities across the U.S. in 2035, combining data from Data Center-Related Grid Competition Risk, Historical, Baseline, US (v1.0) with modeled projections of new data center facilities from the IM3 Projected U.S. Data Center Location dataset. Projections include multiple electricity demand and market gravity scenarios, of which the median has been selected for these data across Low, Moderate, High, and Higher growth scenarios.
Counties are assigned a risk class indicating potential grid competition, derived from the 44th, 67th, 84th, and 96th percentiles of the geometric mean of facility counts and percent change from the baseline and excluding counties with no existing or projected data centers. The dataset is suitable for mapping current and projected data center distributions and for analyzing exposure to grid resource competition, but does not account for proprietary siting constraints such as tax agreements, fiber connectivity, or local grid capacity.