The Electricity Rate-Class Spread: What Households, Businesses and Data Centers Pay
The electricity rate-class spread is widest in Texas and narrowest in Virginia through December 2025, undercutting the claim that the densest data-center state runs the biggest gap between household and industrial power prices.
This report measures the electricity rate-class spread, the gap between what residential, commercial and industrial customers pay for power, across the United States, Virginia and Texas using EIA retail price data through December 2025. The central thesis is straightforward: the data does not support the widely circulated claim that the state with the densest data-center concentration runs the widest gap between household and industrial rates. In December 2025 the residential-to-industrial spread was widest in Texas, narrowest in Virginia, and intermediate nationally. Virginia, the data-center ground zero of the three geographies, records the smallest gap between what households and large consumers pay.
Virginia industrial customers paid 9.35 cents per kWh in December 2025, above the national industrial average of 8.53 cents per kWh, while Virginia households paid 15.27 cents per kWh, below the national residential average of 17.24 cents per kWh. Virginia commercial and industrial rates sat nearly level with one another at 10.21 and 9.35 cents per kWh. Across the year to December 2025 the Virginia commercial class rose fastest at +15.2% while Virginia industrial rose least at +5.8%. Analytical context: Virginia is widely recognized for the highest data-center density in the U.S., and this distribution runs opposite to the cheap-power-for-data-centers narrative; that density characterization is not derivable from the EIA retail price data used here and is offered as descriptive context only.
63.3% spread, narrowest of three
137.9% spread, widest of three
US Industrial 8.53¢/kWh
fastest-rising class in dataset
The rate-class spread is widest in Texas and narrowest in Virginia. In the densest data-center state, industrial rates sit close to commercial rates and above the national industrial average, while households pay below the national residential average. This description is not a causal finding: nothing in this data isolates a data-center effect, and the comparison spans one regulated market (Virginia) and one deregulated retail market (Texas) whose rate designs differ for reasons unrelated to data centers.
Key findings follow. First, the magnitude: the December 2025 gap between Texas industrial and Virginia industrial rates was 2.68 cents per kWh, with Texas industrial 28.7% below Virginia industrial. Second, the directional change: Virginia commercial prices rose 15.2% year-over-year, the fastest move of any class in any geography in this dataset. Third, the structural signal: Virginia commercial and industrial rates converged to near-parity (10.21 vs 9.35 cents per kWh), a rate structure inconsistent with the claim that large consumers there enjoy a deeply discounted tier relative to businesses.
Retail price increases reflect multiple factors including general inflation, fuel costs, utility capital investment cycles, and potentially incremental load. Do not attribute to a single cause. Texas market structure varies by service territory; avoid generalizing ERCOT (Electric Reliability Council of Texas) retail competition mechanics to all Texas locations. Operating cost estimates based on industrial rates may differ from actual facility costs depending on power purchase agreement (PPA) structure.
TABLE OF CONTENTS
- Executive SummaryFree
- The Rate-Class Question🔒
- The National Baseline🔒
- Virginia: The Narrowest Spread🔒
- Texas: The Widest Spread🔒
- The State-to-State Gap🔒
- The Fuel-Cost Control🔒
- The Bottom Line🔒
- Data Appendix🔒
- Endnotes🔒
- U.S. Energy Information Administration
- Federal Reserve Bank of St. Louis / EIA
The full report compares residential, commercial and industrial electricity prices across the United States, Virginia and Texas through December 2025, quantifies the rate-class spread in each geography, and uses Henry Hub natural gas as a fuel-cost control to separate shared fuel moves from allocation changes between customer classes.
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