Not All Data Centers Are Alike

The term “data center” covers facilities that differ by orders of magnitude. A hyperscale campus built for artificial intelligence workloads, an enterprise colocation facility, and a regional cloud node have very different footprints, electric loads, water needs, construction schedules, and permanent workforces. The first step in every analysis is to place the facility actually proposed on that spectrum — square footage, IT load, cooling technology, water use, and backup generation — so that the analysis describes the project in front of the community rather than an industry average.

What the Analysis Covers

Economic

Economic Contribution

Construction and operating impacts modeled from the facility’s expected spending, with imported equipment treated as leakage and construction job-years kept separate from permanent employment.

Fiscal

Fiscal Contribution

Property tax base under local assessment practice, interaction with tax increment districts, and the effect of state sales and use tax exemptions for qualified data centers on net public revenue.

Utility

Load & Grid Implications

The facility’s load relative to the serving utility’s system, the generation and transmission investment it may require, and how tariff design determines who pays.

Community

Externalities & Land Use

Water consumption, noise, visual effects, land absorption, and the precedent a first approval sets for future proposals.

Policy

Ordinance & Moratorium Evaluation

Review of draft definitions, zoning districts, size tiers, conditions, and exceptions — and what each choice means for the facilities a community will and will not attract.

Strategy

Supply Chain & Cluster Effects

Whether a facility anchors local suppliers, workforce training, or related industries, assessed with the driver and cluster methods DMP Development Analytics applies to regional economies.

Questions for Local Decision-Makers

  • What is actually proposed? Phasing, IT load, water source, and permanent headcount, stated in writing rather than inferred from industry averages.
  • What is the net fiscal result? Revenue to each jurisdiction after exemptions, incentives, and tax increment, compared with the service and infrastructure costs the facility creates.
  • Who pays for the grid? Whether new generation, transmission, and distribution investment is recovered from the facility or spread across existing customers.
  • What are the long-term jobs? Permanent on-site employment and its wage profile, separate from the construction peak.
  • What precedent is being set? How the first approval, ordinance, or moratorium will shape the next proposal.

Why an Independent Analysis

1Figures prepared by a project sponsor are built to support an application; an independent analysis is built to support a decision.
2Typology matters — applying hyperscale benchmarks to a smaller facility, or the reverse, can misstate impacts by an order of magnitude.
3Methodological transparency and a written disclosure of the analyst’s role allow every party to test the findings on their merits.
Research in Development

The methods described here are established and proven in infrastructure economics; their application to energy siting, transmission, data center, and utility questions is an active area of engagement development for DMP Development Analytics. If a project in your community raises these questions, we would welcome an early conversation.