Key takeaways
- Define the target project type first; it sets every threshold that follows.
- Knockout filters remove most parcels cheaply before any scoring starts.
- Score power on likely capacity and timing, not just distance to a line.
- Adjacent parcels in the same portfolio can combine into a stronger site.
- Verify the top tier with real conversations before calling anything a data center site.
01Who screens portfolios, and why
Large landowners such as timber companies, agricultural holders, energy companies, railroads, industrial owners and public agencies often hold hundreds or thousands of parcels. Some of that land may be worth far more as a data center site than in its current use. The challenge is finding which parcels, without commissioning a study on each one.
Developers and investors also screen portfolios when evaluating land partnerships or acquisitions. In both cases, the goal is the same: a ranked, evidence-based list of parcels that deserve a closer look, and a clear reason why the rest do not.
02Start by defining the target
A parcel can be a strong edge site and useless for a hyperscale campus. Before running any filters, decide which project types you are screening for. Our guide to site needs by data center type covers the differences in detail.
| Project type | Typical load | Typical land |
|---|---|---|
| Edge | 1–10 MW | 1–10 acres |
| Enterprise and colocation | 10–60 MW | 10–75 acres |
| Hyperscale campus | 100–500 MW | 150–600 acres |
| AI and gigawatt campus | 500 MW – 1 GW+ | 500–2,000+ acres |
These ranges set the minimum contiguous acreage and the transmission voltage that matter for each screen. A portfolio might be screened for two or three types at once, with separate thresholds for each.
03Stage one: knockout filters
Knockout filters remove parcels that clearly cannot work. They should be simple, mapped and conservative, so good sites are not lost by accident.
- Minimum contiguous acreage for the target type, counting adjacent parcels in the same ownership together.
- Distance to transmission at a voltage suited to the target load, such as 115 kV or 138 kV and above for larger campuses, and 230 kV to 500 kV or higher for the largest.
- Share of the parcel in a FEMA floodway or Zone A/AE.
- Share of the parcel mapped as wetlands or open water.
- Severe slope across most of the parcel.
- Protected land, conservation easements or land uses that rule out development.
Distance thresholds should be set by the target load and the local grid, not by a fixed rule. A parcel slightly beyond a threshold but near a planned substation may deserve a second look. The guide to transmission voltage for data centers explains how voltage relates to deliverable capacity.
Data quality matters at this stage. Mapped wetlands, flood zones and transmission data can be outdated or imprecise at the parcel level. Treat knockout results as strong indications, and keep a short list of borderline parcels that failed narrowly so they can be checked by hand rather than dropped.
04Stage two: scoring the survivors
Parcels that pass the knockouts get scored across weighted criteria. Weights depend on the target type: power dominates for large campuses, while fiber and proximity to users matter more for edge and colocation.
| Criterion | What is measured | Data source |
|---|---|---|
| Power proximity | Distance to suitable lines and substations, voltage | Transmission and substation mapping |
| Power outlook | Signals of capacity or congestion in the area | Public utility and ISO/RTO information, outreach |
| Buildable acreage | Acres left after constraints, and shape | Constraint mapping |
| Zoning | Current zoning and plan designation | County and municipal GIS, codes |
| Fiber | Distance to long-haul and metro routes | Carrier route data |
| Water | Proximity to municipal service or groundwater | Utility and state data |
| Neighbors | Homes and sensitive uses near the parcel | Parcel and land use data |
| Access | Road frontage and heavy-haul access | Road network data |
Keep scores transparent. Every score should trace to a specific data point, so a reviewer can see why a parcel ranked where it did.
Avoid letting a high total hide a fatal weakness. A parcel with excellent fiber, zoning and access but no realistic path to power is not a strong large-campus site. Many teams cap the overall score when a critical criterion falls below a minimum, so weak power cannot be offset by strengths elsewhere.
05Stage three: tiering and verification
Scored parcels are sorted into tiers. A common approach is three groups: parcels worth immediate outreach, parcels to hold for future conditions, and parcels that do not fit current targets.
The top tier then gets verification. That means informal conversations with the utility about capacity in the area, a check of local zoning and attitudes, and a review of anything the mapped data might have missed, such as recent land use changes or new transmission plans. Some top-tier parcels drop out here, which is normal.
Screens also age. Utilities build new substations, transmission plans change and zoning gets updated. A parcel that falls into the hold tier today may move up in a few years, so it is worth rerunning the screen when major infrastructure plans change in the region.
06What the screen should produce
- 01A ranked list of parcels by target project type, with scores and the reasons behind them.
- 02Maps of the top-tier parcels showing constraints and nearby infrastructure.
- 03A short profile of each top-tier parcel: acreage, buildable estimate, power context, zoning and open questions.
- 04Notes on parcel combinations that create larger sites.
- 05A recommendation on next steps: feasibility studies, utility outreach or market testing.
For a landowner, the top-tier profiles are the starting point for deciding whether to market the land, wait or pursue powered land positioning with the utility. For a developer, they feed directly into feasibility.
07Common screening mistakes
- Treating distance to any power line as a power score, without regard to voltage or capacity.
- Scoring parcels individually and missing adjacent parcels in the same ownership.
- Relying on gross acreage instead of estimating buildable acreage.
- Setting knockout thresholds so tight that good parcels are dropped on data errors.
- Skipping verification and presenting desktop scores as conclusions.
Common questions
How many parcels typically pass a data center screen?
It varies with the portfolio and the target. A portfolio of rural tracts near major transmission may produce many candidates, while a portfolio of small or scattered parcels may produce few or none. Knockout filters on acreage and power proximity usually remove the majority. What matters is that the parcels that survive are documented well enough to justify the next step.
What data is needed to screen a land portfolio?
At minimum, parcel boundaries and ownership. The screen then layers in transmission lines and substations, FEMA flood zones, wetlands mapping, topography, zoning, fiber routes, roads and nearby land uses. Much of this is available from public and commercial GIS sources. Utility capacity information is the hardest to get from mapped data and usually needs direct outreach.
Can a portfolio screen tell me what my land is worth to a data center developer?
A screen tells you which parcels have the attributes developers look for and how they compare, which is the foundation for any value discussion. It does not set a price. Value depends on power availability and timing, buildable acreage, local market demand and deal terms, and it is ultimately tested in negotiation with buyers or tenants.
Should a landowner screen a portfolio before talking to developers?
It usually helps. A screen shows which parcels are likely to interest developers and why, so the owner can focus on the strongest sites and answer early questions about power, acreage and zoning with evidence. It also reveals parcel combinations the owner may not have considered. Owners who arrive with a clear picture tend to have more productive conversations and avoid tying up weak parcels in long options.
Have a site in mind?
Get a straight answer on your land.
Send a parcel number, an address, a map pin or a target load. We’ll tell you what it can support and what it would take.
This guide is general information about data center site selection. It is not engineering, legal, tax or investment advice. Requirements vary by state, utility and county, so confirm the specifics for any site with the relevant authorities and advisors.