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Methodology

How the Data Center Water Stress Index is calculated

DCWSI is a county-level screening metric for journalists, researchers, and residents tracking where data center growth overlaps with water-system pressure.

Compliance stress

60%

100 minus the WaterByCounty SDWIS Compliance Index

Density rank

40%

Facility-count percentile among counties with mapped data centers

Output

0-100

Higher DCWSI means higher combined scrutiny priority

Formula

DCWSI = (modeled compliance stress x 0.6) + (data center density percentile x 0.4)

Modeled compliance stress is 100 minus the county's SDWIS Compliance Index. Separately, data center facility counts are ranked as a percentile among counties with mapped data center records. The weighted average produces the county's DCWSI score.

Sources

SourceUse in DCWSILimitation
EPA ECHOActive facility records filtered by NAICS 518210 and data-center-like 517110 records.ECHO identifies regulated facilities and permits; it does not fully measure water consumption.
EPA ECHO CWANPDES-linked data center records and available actual average flow fields.Flow fields are treated as discharge estimates, not withdrawal or consumptive use.
OpenStreetMap OverpassSupplemental mapped data center nodes, ways, and relations geocoded to county FIPS.Coverage depends on public OSM tagging completeness and may miss private campuses.
WaterByCounty county datasetThe inverse of the 0-100 SDWIS Compliance Index supplies the modeled compliance-stress component.This county-level aggregation is not a utility-specific capacity or facility water-use measure.

What DCWSI can show

DCWSI is strongest as a first-pass county comparison. It highlights places where mapped data center concentration is unusually high and the local water score makes additional reporting worthwhile.

What DCWSI cannot show

DCWSI is not a facility-level water-use audit. It does not prove consumptive use, water-right exposure, cooling technology, or utility-specific capacity constraints.