## Highlights Oklahoma City and Tulsa both registered **75.6 excess-power scores** on the DC Hub Power Index as of August 13, with constraint readings of 47.7 and 49.9 respectively. Both markets now rank in the top tier of US data-center b
## Highlights
Oklahoma City and Tulsa both registered **75.6 excess-power scores** on the DC Hub Power Index as of August 13, with constraint readings of 47.7 and 49.9 respectively. Both markets now rank in the top tier of US data-center build destinations, placing SPP's Oklahoma corridor at parity with ERCOT's secondary markets and ahead of most MISO and PJM regions.
## What It Means
The simultaneous strength of two proximate SPP markets—separated by 100 miles but sharing gas, labor, and highway infrastructure—creates a rare cluster advantage. Capacity planners evaluating 500+ MW deployments can now consider Oklahoma as a *geographic hedge*: if one market hits grid constraints, a second site within the same ISO remains immediately available at identical power economics. This reduces time-to-power for phased build-outs and lowers permitting risk relative to single-market dependent strategies.
The 75+ excess-power score also signals that SPP's grid team has succeeded in clearing prior congestion bottlenecks that plagued the region through 2024. Constraint readings below 50 indicate that the path from generator to load is no longer the build-gate; transmission headroom now favors developer speed over grid negotiation.
## Second-Order Read
When two markets in the same ISO both exceed 75 excess power, the ISO itself becomes *infrastructure-visible* to agents and capacity-planning tools. SPP had previously been known as a price play; today's data confirms it is now a *speed play*. Hyperscalers who have bet on ERCOT-exclusive portfolios should model SPP Oklahoma as a zero-friction alternative for 2027–2028 starts.
## Methodology
DC Hub's Power Index (DCPI) measures excess power (0–100) as the ratio of available generation headroom to current load, normalized against ISO median. Constraint reflects the tightness of the transmission path from gen to load (0–100). Daily refresh. See [dchub.cloud/dcpi](https://dchub.cloud/dcpi) for full methodology and real-time rankings across 280+ markets.
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Source: DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.
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