waterbycounty

Data centers and water

Data Center Water Use in Montgomery County, PA

Montgomery County, Pennsylvania has 9 mapped data center facilities, including Flexential, Lumen Technologies, TierPoint, carrying about 42 MW of estimated power load.

FlexentialLumen TechnologiesTierPoint

Water pressure for new demandHow hard a large new water user, like a data center, would press on this county's water. It blends recent drinking-water compliance, drought, and existing industrial demand. Higher pressure means new demand competes harder with current uses. It is not a judgment about whether one should be built.

16/ 100

Low water pressure

Montgomery County has no health violations in the last 5 years, severe drought, moderate existing industrial water demand.

Mapped facilities
9
EPA + OpenStreetMap layers
Estimated power load
42 MW
IM3 Atlas capacity estimate
Permitted discharge
Not reported
Clean Water Act permit fields
DCWSI national rank
#51
of 318 scored counties

The operators

How many data centers are in Montgomery County?

9 facilities are mapped to Montgomery County, Pennsylvania across the EPA and OpenStreetMap layers, run by operators including Flexential, Lumen Technologies, TierPoint. Counts reflect mapped footprint, not an operator's total fleet.

  • 401 CITY AVE ASSOC/LOWER MERION

    BALA CYNWYD, PA

    EPA ECHO
  • CSL BEHRING DATA CTR/KING OF PRUSSIA

    KING OF PRUSSIA, PA

    EPA ECHO
  • DāStor: 3400 Horizon Drive

    King of Prussia, PA

    OpenStreetMap
  • DATA BASED INTERNATION SYS/LOWER PROVIDENCE

    NORRISTOWN, PA

    EPA ECHO
  • Flexential Philadelphia - Collegeville

    Flexential · Collegeville, PA

    OpenStreetMap
  • INNOVATION 2201 LLC / UPPER MERION TWP

    KING OF PRUSSIA, PA

    EPA ECHO
  • Lumen Norristown

    Lumen Technologies · 42

    OpenStreetMap
  • TierPoint Valley Forge

    TierPoint · 42

    OpenStreetMap
  • US LIABILITY INS GROUP/WAYNE

    WAYNE, PA

    EPA ECHO

Supply versus demand

How much water do Montgomery County data centers use?

Exact facility water draw is rarely public. As a screening proxy we compare the Clean Water Act permitted discharge mapped to these facilities against the county's entire industrial water baseline from the USGS 2020 series.

No Clean Water Act permitted discharge is reported for the mapped facilities in Montgomery County. The figures below show the county's industrial water baseline for context.

Facility discharge vs county industrial water
Mapped facility discharge
Not reported
County industrial baseline
15.9 Mgal/day

Model a build

Can Montgomery County support more data centers?

On the water-pressure scale, Montgomery County sits at 16, below the national median, so new large-load demand has more slack here than in most counties. Size a hypothetical build to see the daily draw against the county industrial baseline.

Data Center Water Budget Calculator

Estimate daily water use for a hypothetical facility in Montgomery County.

1 MW1,000 MW
40%100%
799K gallons/dayModerate Impact

Your facility would use 5.0% of this county's industrial water baseline — manageable but worth monitoring against drought trends.

5.0% of county industrial baseline15.06 Mgal/day remaining headroom

Based on USGS 2020 water-use data and EPA-standard cooling intensity constants. Not a substitute for site-specific water rights analysis.

In context

How does Montgomery County compare nationally?

DCWSI build-out rank
#51
of 318 counties with a stress score
Water pressure vs median
-3
national median is 19 of 100
Share of mapped load
0.0%
of 166.02 GW mapped nationally

Montgomery County is one of 330 US counties with mapped data centers. See the full ranking and the interactive map in the national atlas.

Facility data combines EPA ECHO, EPA Clean Water Act permits, OpenStreetMap, and the IM3 Open Source Data Center Atlas (DOE/PNNL), geocoded to county FIPS. Capacity and water baselines come from IM3 and USGS 2020 water-use data. These are county-level screening figures, not a facility-level water-use audit. Read the full methodology.

By Evan Brooks, Data EditorPublished Reviewed by Evan Brooks, Data Editor