Data centers and water
Data Center Water Use in Fulton County, GA
Fulton County, Georgia has 27 mapped data center facilities, including Google, Microsoft, carrying about 800 MW of estimated power load.
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.
Low water pressure
Fulton County has no health violations in the last 5 years, severe drought, low existing industrial water demand.
- Mapped facilities
- 27
- EPA + OpenStreetMap layers
- Estimated power load
- 800 MW
- IM3 Atlas capacity estimate
- Permitted discharge
- 8K gal/day
- Clean Water Act permit fields
- DCWSI national rank
- #41
- of 318 scored counties
The operators
How many data centers are in Fulton County?
27 facilities are mapped to Fulton County, Georgia across the EPA and OpenStreetMap layers, run by operators including Google, Microsoft. Counts reflect mapped footprint, not an operator's total fleet.
- OpenStreetMap
Ascent - Atlanta Data Center
Ascent · 13
- OpenStreetMap
Atlanta ATL13
Digital Realty · Atlanta, GA
- OpenStreetMap
CenturyLink
13
- OpenStreetMap
CoreSite AT1
CoreSite · Atlanta, GA
- OpenStreetMap
Cox Data Center
13
- EPA ECHO
DATA CENTER ATLANTA, LLC
ATLANTA, GA
- EPA ECHO
DATA CENTER FULTON, LLC
ATLANTA, GA
- OpenStreetMap
Digital Realty Data Center
Digital Realty · Atlanta, 13
- EPA ECHO
EDGECONNEX ATL11, LLC
EdgeConneX · ATLANTA, GA
- EPA ECHO
EDGED ENERGY ATLANTA DATA CENTER
ATLANTA, GA
- EPA ECHO
ENTERPRISE SERVICES, LLC
ALPHARETTA, GA
- OpenStreetMap
Flexential Atlanta - Alpharetta Data Center
Flexential · Alpharetta, GA
- OpenStreetMap
Google Fiber
Google · 13
- EPA ECHO
GOOGLE WAREHOUSE
Google · FAIRBURN, GA
- OpenStreetMap
Hewlett-Packard
13
- OpenStreetMap
Mapletree Industrial
Alpharetta, GA
- EPA ECHO
MICROSOFT DATA CENTER (CCO06)
Microsoft · PALMETTO, GA
- EPA CWA
MICROSOFT DATA CENTER (CCO06)
Microsoft · PALMETTO, GA
9 more mapped facilities counted in this county's score.
Supply versus demand
How much water do Fulton 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.
The Clean Water Act permitted discharge from mapped data centers in Fulton County equals about less than 1% of the county's reported industrial water baseline.
- Mapped facility discharge
- 0.01 Mgal/day
- County industrial baseline
- 2.32 Mgal/day
Model a build
Can Fulton County support more data centers?
On the water-pressure scale, Fulton County sits at 23, 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 Fulton County.
Your facility would use 34.4% of this county's industrial water baseline. Verify water rights and long-term drought projections before committing.
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 Fulton County compare nationally?
- DCWSI build-out rank
- #41
- of 318 counties with a stress score
- Water pressure vs median
- +4
- national median is 19 of 100
- Share of mapped load
- 0.5%
- of 166.02 GW mapped nationally
Fulton 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.