waterbycounty

Data centers and water, by county

Where the data center build-out meets America's water limits.

The AI build-out is adding gigawatts of cooling demand county by county. This atlas maps every US county where mapped data centers overlap water-system pressure, scores the modeled pressure inputs for each county, and lets you compare a hypothetical load against those county-level inputs.

Counties with data centers
330
2,147 facilities mapped
Mapped capacity
166.02 GW
across 229 counties (IM3 Atlas)
Constrained markets
212
host mapped facilities outside the model’s lowest-pressure tier
Water pressure range
7–97
national median 41.9 of 100

Where growth meets constraint

The collision is already here.

The atlas highlights overlap between mapped facility density and modeled water pressure. Loudoun County, Virginia has the highest combined DCWSI value in the current dataset.

Loudoun County has modeled compliance stress is moderate, current drought stress is moderate, and recorded industrial withdrawals are 2 MGD (81st percentile), providing existing demand and capacity context.

Loudoun County

Virginia

Moderate pressure
Facilities
282
Mapped MW
11.73 GW
Water pressure
29

The national picture

Two ways to read the map

Toggle between water pressure (how hard new large-load demand would press on a county's water) and the build-out index (DCWSI, where data-center density meets modeled compliance stress). Hover or select a county to inspect the current atlas values.

Loading map data…

Water pressure is shaded for every US county; the build-out index is shaded for the 318 counties with both mapped facilities and a water-stress score. Tiles via the ByCounty network PMTiles layer.

National water pressureWater pressure (0-100, higher means more strain) estimates how hard new large-load demand appears in the planning model, using compliance stress, drought stress, and industrial-withdrawal percentile. It is not a siting recommendation.

Most counties have room. The spread is the story.

On a 0-100 water pressure scale (higher means more strain), counties cluster between 7 and 97, with a median of 41.9. No county reaches high water pressure today. What matters is the gap between the calmest and the most strained, because that gap is where new gigawatts of demand will be felt first.

DCWSI, the build-out pressure score, is a separate lens: 60% modeled compliance stress plus 40% data center density percentile, normalized to 0-100.

Low pressure

The model places these counties in its lowest water-pressure tier.

50816.7% of counties
Moderate pressure

The model places these counties in its moderate water-pressure tier.

1,42046.7% of counties
High pressure

The model places these counties in its high water-pressure tier.

94030.9% of counties
Severe pressure

The model places these counties in its highest water-pressure tier.

1745.7% of counties

Highest water pressure, most data centers

Facility counties carrying the most water pressure. These are the markets where new demand would press hardest against existing uses.

Richland Parish, LA

1 facilitiesMeta

76

Severe pressure

Wilbarger County, TX

1 facilities

74

High pressure

Granite County, MT

1 facilities0 MW

71

High pressure

Milam County, TX

1 facilities872 MW

71

High pressure

Jones County, TX

1 facilities

71

High pressure

Valencia County, NM

7 facilities4.97 GWMeta

70

High pressure

Lowest water pressure, real clusters

Active data center counties with the lowest modeled water-pressure values in the current dataset.

Niagara County, NY

7 facilities16 MWUS Bitcoin

7

Low pressure

Cuyahoga County, OH

5 facilities269 MWT5 Data Centers

7

Low pressure

Hennepin County, MN

11 facilities51 MWDataBank

8

Low pressure

Davidson County, TN

10 facilities59 MWEdgeConneX

9

Low pressure

Sumner County, TN

5 facilities3.78 GWMeta

10

Low pressure

San Francisco County, CA

9 facilities36 MWAWS

11

Low pressure

Who is building where

Hyperscaler concentration

Mapped facilities attributed to a named operator, across the EPA and OpenStreetMap layers. Counts are mapped footprint, not total fleet size.

AWS
32027 counties
Google
8522 counties
Microsoft
8419 counties
Meta
8124 counties
Oracle
43 counties

Interactive

Model a data center water budget

Size a hypothetical facility, pick a cooling type, and see the estimated daily water draw against a real county industrial baseline. Useful for a first-pass feasibility read before you talk to a utility.

Data Center Water Budget Calculator

Estimate daily water use for a hypothetical facility in Loudoun County, VA.

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

Your facility would use 40.8% of this county's industrial water baseline. Verify water rights and long-term drought projections before committing.

40.8% of county industrial baseline1.16 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.

Every facility county

The full ranking

Sources and limitations
CountyWater pressure
Valencia County, NM

Meta

High pressure84.674.97 GW7087.3
Wasco County, OR

Google

High pressure82.16518 MW5586.1
Reeves County, TXHigh pressure79.886877.4
Morrow County, OR

AWS

Moderate pressure79.5381.04 GW4368.1
Louisa County, VA

AWS

High pressure75.735985.5
Muskogee County, OKHigh pressure75.1222 MW7095.2
Crook County, OR

Meta

Moderate pressure72.7137.36 GW4261.6
Washoe County, NVModerate pressure71.213235 MW3359.1
Navarro County, TXHigh pressure71.242.34 GW6073.5
Grant County, WA

Microsoft

Moderate pressure70.8385.35 GW3653.6
Bernalillo County, NM

bigbyte.cc

Moderate pressure70.61145 MW4759.3
Angelina County, TXHigh pressure70.323 MW6987.2
Laramie County, WY

Microsoft

High pressure70.1224.35 GW5154.4
Baltimore County, MD

Expedient

High pressure68.625384.3
Umatilla County, OR

AWS

Moderate pressure68.329889 MW4550.1
Rockingham County, NH

Phillips Exeter Academy

Moderate pressure68.243 MW4468.5
Sarpy County, NE

Google

Moderate pressure63.9224.84 GW3244.1
Rutherford County, NC

Meta

Moderate pressure62.461.13 GW4953.3
Jackson County, AL

Google

Moderate pressure61.441.57 GW3957.1
Dakota County, MN

Meta

Moderate pressure60.862.19 GW2750.7
Licking County, OH

AWS

Low pressure60.4386.51 GW2436.2
Dallas County, IA

Microsoft

Moderate pressure60.410349 MW2943.1
El Paso County, CO

SAP

Moderate pressure60.4777 MW3147.0
Berkeley County, SC

Google

Moderate pressure60.0112.09 GW3841.7
Granite County, MTHigh pressure59.610 MW7199.3
Clark County, NV

Google

Low pressure59.5261.06 GW2236.2
Santa Clara County, CA

AWS

Low pressure59.4951.03 GW1932.6
Loudoun County, VA

AWS

Moderate pressure58.928211.73 GW2931.5
Ellis County, TX

Google

Moderate pressure58.818680 MW3036.4
Ector County, TXModerate pressure58.824868.0
Maricopa County, AZ

Google

Low pressure58.7798.69 GW2131.8
Travis County, TX

Meta

Moderate pressure58.717425 MW4336.7
Middlesex County, NJ

Barclays

Moderate pressure58.615493 MW2937.4
Mayes County, OKHigh pressure58.626067.6
Douglas County, CO

Equinix

Moderate pressure58.5845 MW4042.0
Prince William County, VA

AWS

Moderate pressure58.4852.42 GW3231.0
Washington County, OR

Oracle

Low pressure58.439789 MW2032.2
Wilbarger County, TXHigh pressure57.717496.1
Bexar County, TX

AWS

Moderate pressure57.3421.04 GW4130.2
Union County, OH

AWS

Low pressure57.29295 MW2438.4
Fulton County, GA

Google

Moderate pressure57.127800 MW3231.8
Rockland County, NY

Bloomberg

Moderate pressure57.14159 MW3649.9
Franklin County, OH

AWS

Low pressure57.0428.42 GW1929.7
Platte County, MOModerate pressure56.782.80 GW3338.9
Catawba County, NC

Microsoft

Moderate pressure56.781.28 GW3838.9
Clay County, MO

Meta

Moderate pressure56.652.89 GW2846.0
Albany County, NY

Lumen Technologies

Moderate pressure56.635 MW2953.6
Cook County, IL

Microsoft

Low pressure56.4431.19 GW1528.3
Los Angeles County, CA

AWS

Low pressure56.219120 MW1631.5
Polk County, IA

Meta

Low pressure55.7358.68 GW2228.5
Richland Parish, LA

Meta

Severe pressure55.417692.3
Middlesex County, MA

AWS

Moderate pressure55.01652 MW2530.7
Dallas County, TX

CoreSpace

Low pressure54.927488 MW2028.1
Madison County, MS

AWS

Moderate pressure54.963.32 GW3840.9
DuPage County, IL

Centersquare

Low pressure54.726381 MW1628.1
Collin County, TX

Aligned Data Centers

Low pressure54.518441 MW2529.3
Pershing County, NV

Google

High pressure54.516890.8
Tarrant County, TX

AWS

Low pressure54.311563 MW2132.2
Passaic County, NJ

CyrusOne

Moderate pressure54.1548 MW4041.7
San Diego County, CA

American Telephone & Telegraph

Low pressure54.1545 MW2241.7
Cumberland County, ME

FirstLight

Moderate pressure54.1311 MW4549.5
Utah County, UT

Meta

Moderate pressure53.975.00 GW3236.2
Wake County, NC

Flexential

Moderate pressure53.9439 MW4144.6
Jones County, TXHigh pressure53.917189.8
Hudson County, NJ

Centersquare

Moderate pressure53.818595 MW2828.1
Tulsa County, OKModerate pressure53.81285 MW2930.2
Denali Borough, AKNo verdict53.8189.7
Arapahoe County, CO

AWS

Moderate pressure53.715102 MW3129.3
Marquette County, WIHigh pressure53.612 MW5489.3
Montgomery County, TN

Google

Moderate pressure53.465.46 GW2838.4
King County, WA

Equinix

Low pressure53.115194 MW1828.3
Fauquier County, VA

AWS

Moderate pressure52.2651 MW3236.4
Bryan County, OK

Choctaw Nation of oklahoma

High pressure52.213 MW6287.0
Morgan County, WVHigh pressure52.216587.0
Montgomery County, PA

Flexential

Low pressure51.7942 MW2229.3
Alameda County, CA

AWS

Low pressure51.61156 MW1627.7
Johnson County, KS

DataBank

Low pressure51.610111 MW2128.5
Santa Fe County, NM

SONM

High pressure51.416 MW5885.6
Montgomery County, TXModerate pressure51.2225 MW4455.3
Williamson County, TN

Flexential

Moderate pressure51.17453 MW2831.5
Fayette County, GA

Quality Technology Services

Moderate pressure51.15114 MW4236.7
Newton County, GA

Meta

Moderate pressure51.142.16 GW4539.9
Ada County, ID

Meta

Moderate pressure51.143.33 GW2839.9
DeKalb County, IL

Meta

Moderate pressure51.142.85 GW3139.9
Rankin County, MSModerate pressure51.124255.2
Custer County, MT

State of Montana

High pressure51.112 MW5785.2
Harris County, TX

DXC Technology

Moderate pressure51.06240 MW3034.4
Hillsborough County, NHModerate pressure50.923254.9
Benton County, ARModerate pressure50.924854.8
Napa County, CAModerate pressure50.9233 MW2954.8
Sacramento County, CA

EdgeConneX

Low pressure50.67134 MW1730.7
Caldwell County, MOHigh pressure50.310 MW6283.8
Salt Lake County, UT

Flexential

Low pressure50.2893 MW2328.1
Luzerne County, PA

AWS

Moderate pressure49.723752.8
Anne Arundel County, MD

AWS

Moderate pressure49.3625 MW2731.5
Clark County, OHModerate pressure49.3216 MW3152.1
Armstrong County, TXHigh pressure49.017081.6
Cochise County, AZ

DirecTV

High pressure48.512 MW5280.9
Oakland County, MI

EdgeConneX

Low pressure48.248 MW2035.2
Racine County, WI

Microsoft

Low pressure48.032 MW2539.3
Fairfax County, VA

AWS

Low pressure47.850414 MW2513.8
Fairfield County, OH

Google

Low pressure47.8458 MW2334.4
Culpeper County, VA

AWS

Moderate pressure47.73260 MW3838.7
Adams County, CO

Google

Moderate pressure47.5317 MW3538.4
Sequoyah County, OKHigh pressure47.515879.1
Baltimore city, MD

AiNET

Moderate pressure47.367 MW2828.1
Marion County, OR

CenturyLink

Moderate pressure47.3214 MW3048.8
Ford County, KSModerate pressure47.214278.6
Denver County, CO

CoreSite

Moderate pressure47.0614 MW4027.7
Madison County, IDHigh pressure47.014 MW5878.4
Henrico County, VA

Meta

Low pressure46.7342.45 GW1313.8
Columbia County, WIModerate pressure46.610 MW4677.6
Miami-Dade County, FLModerate pressure46.3528 MW3828.8
Prince George's County, MDModerate pressure46.329 MW4147.1
Milam County, TXHigh pressure46.31872 MW7177.1
Essex County, NJ

Tishman

Moderate pressure46.2339 MW3036.2
Eaton County, MIModerate pressure46.1219 MW3146.8
Pottawattamie County, IA

Google

Low pressure46.0241.18 GW1813.8
Jackson County, OR

Data Center West, Inc.

Moderate pressure45.814476.3
Mecklenburg County, NC

Flexential

Moderate pressure45.7554 MW3327.7
San Luis Obispo County, CAModerate pressure45.714076.2
Pierce County, WALow pressure45.43412 MW2234.9
Northampton County, PAModerate pressure45.423945.7
Hillsborough County, FL

Cyxtera

Moderate pressure45.2426 MW3630.2
Multnomah County, OR

Digital Fortress, Inc

Low pressure45.248 MW2130.2
Allegheny County, PA

DataBank

Low pressure45.1317 MW1734.4
Bell County, TXModerate pressure45.133134.4
Douglas County, NE

Google

Low pressure45.0174.52 GW1713.8
Dodge County, WI

Meta

Moderate pressure45.013.65 GW4375.0
Warren County, OH

CyrusOne

Low pressure44.8356 MW1933.9
Wayne County, MI

Comcast

Low pressure44.7419 MW1829.3
Chelan County, WAModerate pressure44.73145 MW2733.7
Ogle County, ILModerate pressure44.623744.3
Dickey County, ND

Applied Digital

High pressure44.51541 MW5174.1
Somerset County, NJ

CyrusOne

Low pressure44.415363 MW2113.8
Worcester County, MAModerate pressure44.332633.1
Douglas County, WA

Microsoft

Moderate pressure44.013914 MW2613.8
Lehigh County, PA

TierPoint

Moderate pressure44.0339 MW3432.6
Spokane County, WA

Iron Mountain

Moderate pressure44.0311 MW2632.6
Orange County, NYModerate pressure43.914973.2
Snohomish County, WA

Centersquare

Low pressure43.7426 MW2027.7
Jefferson County, ALLow pressure43.74133 MW2027.7
Westchester County, NYModerate pressure43.713 MW4272.9
Caldwell County, NC

Google

Moderate pressure43.62681 MW4042.7
Waukesha County, WI

WE Energies

Moderate pressure43.419 MW4072.4
Hennepin County, MN

DataBank

Low pressure43.31151 MW813.8
St. Joseph County, IN

AWS

Low pressure43.231731.2
Grafton County, NHHigh pressure43.015171.7
Broomfield County, CO

Oracle

High pressure42.9338 MW5030.7
Davidson County, TN

EdgeConneX

Low pressure42.81059 MW913.8
Mecklenburg County, VA

Microsoft

Moderate pressure42.8102.25 GW3413.8
Stutsman County, NDModerate pressure42.522940.9
San Francisco County, CA

AWS

Low pressure42.4936 MW1113.8
Crittenden County, ARHigh pressure42.415670.7
Orange County, FL

CoreSite

Moderate pressure42.3323 MW2729.7
McDonald County, MOHigh pressure42.316070.5
DeSoto County, MS

xAI

Moderate pressure42.22163 MW3340.4
Deschutes County, OR

Fort Rock Data Center

Moderate pressure41.922 MW2539.9
Douglas County, GA

Google

Moderate pressure41.68774 MW3213.8
Chesterfield County, VA

Digital Fortress

Low pressure41.681213.8
Durham County, NC

Duke Libraries

Moderate pressure41.433728.3
Cleveland County, NC

T5 Data Centers

Moderate pressure41.4276 MW4439.0
Milwaukee County, WI

Potawatomi Business Development Corporation

Low pressure41.135 MW1927.7
Orange County, CA

AWS

Low pressure41.1325 MW1527.7
Oklahoma County, OKModerate pressure41.024038.4
Monroe County, OHModerate pressure40.814568.0
Lane County, OR

Data Center West, Inc.

Moderate pressure40.714167.9
Warren County, IA

Microsoft

Low pressure40.57982 MW2013.8
Niagara County, NY

US Bitcoin

Low pressure40.5716 MW713.8
Madison County, AL

Meta

Low pressure40.573.25 GW2013.8
Barber County, KS

SC

High pressure40.415467.3
Dane County, WI

Lumen Technologies

Moderate pressure39.522 MW2535.9
Tippecanoe County, INModerate pressure39.324235.5
Frederick County, MDModerate pressure38.8213 MW2834.6
New Castle County, DELow pressure38.761213.8
Montgomery County, MD

Lincoln Rackhouse

Low pressure38.7629 MW2113.8
Storey County, NV

Switch

Low pressure38.76263 MW2013.8
Shelby County, TN

xAI

Low pressure38.76348 MW1613.8
LaPorte County, INModerate pressure38.613664.4
Denton County, TXLow pressure38.3264 MW2533.9
Mercer County, NJModerate pressure38.123033.5
Erie County, NYLow pressure37.928 MW1733.1
Summit County, OHLow pressure37.9212 MW2033.1
Hood County, TX

Marathon Digital Holdings

Moderate pressure37.81354 MW4763.0
Gwinnett County, GA

Flexential

Low pressure37.35431 MW2013.8
Jackson County, MO

Patmos Hosting, Inc.

Low pressure37.351213.8
Cuyahoga County, OH

T5 Data Centers

Low pressure37.35269 MW713.8
Philadelphia County, PA

Equinix

Low pressure37.3524 MW1513.8
Sumner County, TN

Meta

Low pressure37.353.78 GW1013.8
Mahoning County, OHLow pressure37.3215 MW2432.2
Floyd County, KYHigh pressure37.113 MW5161.9
King George County, VAHigh pressure37.116061.9
Cass County, NDLow pressure36.725 MW2231.2
Strafford County, NH

University of New Hampshire

High pressure36.716 MW5161.1
Carver County, MN

Flexential

Low pressure36.6227 MW2131.0
Dunn County, WI

West Wisconsin Telcom

Moderate pressure36.311 MW3560.5
Clackamas County, OR

Siemens Digital Industries Software

Moderate pressure36.215 MW3560.4
Calumet County, WI

Involta

Moderate pressure36.2112 MW4260.3
Lake County, IN

Digital Crossroad

Low pressure36.1223 MW1530.2
Essex County, MA

AWS

Moderate pressure36.1210 MW2630.2
Minnehaha County, SDModerate pressure36.1260 MW2930.2
Bear Lake County, ID

The Church of Jesus Christ of Latter-day Saints

High pressure36.111 MW5360.1
Johnson County, IAModerate pressure35.511 MW4459.1
Ellis County, KSModerate pressure35.512 MW3859.1
Jackson County, COModerate pressure35.444613.8
Broward County, FL

Flexential

Moderate pressure35.3225 MW3528.8
Monroe County, IN

Indiana University

Moderate pressure35.3119 MW3758.8
Genesee County, MIModerate pressure35.217 MW3158.6
Alachua County, FL

University of Florida

Moderate pressure35.127 MW4328.5
Hinds County, MSModerate pressure35.114858.5
Franklin County, NY

2CRSi

Moderate pressure35.013958.3
Duval County, FL

Cologix

Moderate pressure34.926 MW3928.1
Ramsey County, MN

H5

Low pressure34.9222 MW1628.1
Hamilton County, OH

CyrusOne

Low pressure34.929 MW1528.1
Stanislaus County, CA

Yosemite Community College District

Moderate pressure34.811 MW3258.0
Washington County, RIModerate pressure34.713857.8
St. Louis city, MO

Washington University in St. Louis

Low pressure32.7314 MW1513.8
Yellowstone County, MTModerate pressure32.413954.0
Hopkins County, KYModerate pressure32.2188 MW4153.6
Medina County, TX

Microsoft

High pressure31.7146 MW6052.9
Contra Costa County, CAModerate pressure31.713252.9
Larimer County, COModerate pressure31.614752.6
Whatcom County, WA

CSS Communications

Moderate pressure31.011 MW3051.6
Walworth County, WI

AT&T

Moderate pressure30.412 MW3250.7
Moffat County, COHigh pressure30.416550.7
Linn County, OR

Stayton Cooperative Telephone Company

Moderate pressure30.111 MW3250.1
Ward County, TX

IONIC Digital

High pressure29.61448 MW5449.3
Washington County, UT

Lumen Technologies

Moderate pressure29.510 MW4249.2
Polk County, FLModerate pressure29.015 MW4348.4
Campbell County, WYModerate pressure28.811 MW4548.0
Berks County, PAModerate pressure28.514147.5
Adair County, MO

AT&T

High pressure28.415347.4
Rock Island County, ILModerate pressure28.213947.0
Clearfield County, PAModerate pressure27.913346.5
Coshocton County, OHModerate pressure27.512745.9
Onondaga County, NY

Syracuse University

Moderate pressure27.312 MW2545.5
Taylor County, TXModerate pressure27.114445.1
Thurston County, WAModerate pressure26.912 MW2844.8
Cobb County, GA

CoreSite

Low pressure26.3282 MW1813.8
Muscogee County, GA

DLI ONE

Moderate pressure26.32107 MW2513.8
Paulding County, GA

Aligned

Moderate pressure26.323013.8
Jefferson County, KY

Flexential

Low pressure26.3214 MW713.8
Suffolk County, MALow pressure26.322313.8
Butler County, OH

CyrusOne

Low pressure26.32309 MW713.8
Frederick County, VALow pressure26.3255 MW2213.8
Roane County, TN

Oak Ridge National Laboratory

Moderate pressure26.214943.7
Solano County, CAModerate pressure25.6111 MW2642.7
Boulder County, COModerate pressure25.614342.7
St. Louis County, MNModerate pressure24.515 MW3240.9
Pima County, AZ

DirecTV

Moderate pressure23.413 MW3139.0
Jefferson County, COModerate pressure23.414139.0
Madison County, ILModerate pressure23.310 MW3138.9
Columbiana County, OHLow pressure22.912438.1
Monmouth County, NJ

Apollo

Moderate pressure22.615 MW2737.7
Wichita County, TXModerate pressure22.618 MW4237.7
Guilford County, NCModerate pressure22.413737.4
El Paso County, TXLow pressure22.312237.1
Wood County, OH

Meta

Moderate pressure21.714.30 GW4536.2
Kanawha County, WV

Alpha Innovations

Low pressure21.711836.2
Walton County, GAModerate pressure21.514035.9
Bartholomew County, INLow pressure21.512135.9
Wise County, VAModerate pressure21.513235.9
Ventura County, CALow pressure21.512135.9
Buffalo County, NEModerate pressure21.1171 MW4135.2
Williamson County, TX

Switch

Moderate pressure20.914134.9
Aiken County, SC

Meta

Low pressure20.61722 MW2334.4
Spotsylvania County, VA

AWS

Moderate pressure20.513234.1
Champaign County, ILModerate pressure20.319 MW4633.9
Cumberland County, PAModerate pressure20.112833.5
Riverside County, CALow pressure20.111933.5
Lake County, IL

VISA

Low pressure19.3111 MW2232.2
Anoka County, MN

Encompass

Low pressure19.3115 MW2032.2
White County, AR

City of Searcy

Moderate pressure19.311 MW4832.2
Norfolk County, MAModerate pressure19.112731.8
Bergen County, NJ

nyse

Moderate pressure18.9140 MW2831.5
Bristol County, MALow pressure18.712331.2
Allen County, INModerate pressure18.613531.0
Montgomery County, OHLow pressure18.611631.0
Hampden County, MALow pressure18.412030.7
Gloucester County, NJModerate pressure18.118 MW2730.2
Houston County, AL

AngelTrax Mobile Video Surveillance Solutions

Moderate pressure18.112 MW4330.2
District of Columbia, DC

CoreSite

Moderate pressure17.813529.7
Howard County, MDModerate pressure17.8122 MW3029.7
Macomb County, MI

Dennis Sampier

Low pressure17.812029.7
Scott County, IAModerate pressure17.6111 MW2829.3
Lancaster County, NELow pressure17.612529.3
Dorchester County, SCModerate pressure17.613329.3
Marion County, INLow pressure17.311928.8
Union County, NCModerate pressure17.31122 MW4428.8
Horry County, SCModerate pressure17.3118 MW3128.8
East Baton Rouge Parish, LALow pressure16.911728.1
Rutherford County, TN

State of Tennessee

Low pressure16.912028.1
Suffolk County, NYLow pressure16.617 MW1927.7
Dickens County, TXModerate pressure8.414414.0
Forsyth County, GAModerate pressure8.3135 MW2813.8
Hancock County, IN

Verizon Wireless

Low pressure8.314 MW1913.8
Morgan County, IN

Google

Low pressure8.311213.8
Marshall County, IALow pressure8.311113.8
Boone County, KYLow pressure8.311213.8
McCracken County, KYModerate pressure8.3145 MW2513.8
Monroe County, MILow pressure8.311213.8
Olmsted County, MNLow pressure8.3110 MW1213.8
Sherburne County, MNLow pressure8.311013.8
Boone County, MOLow pressure8.318 MW2313.8
Union County, NJ

Barclays

Low pressure8.3119 MW1713.8
St. Lawrence County, NY

Clarkson University

Low pressure8.311113.8
Yates County, NY

Greenidge Generation Holdings Inc.

Low pressure8.311913.8
Delaware County, OHLow pressure8.3162 MW1613.8
Erie County, OH

Aligned Data Centers

Low pressure8.31127 MW1413.8
Spartanburg County, SCModerate pressure8.312813.8
Grainger County, TNLow pressure8.310 MW2013.8
Hamilton County, TNLow pressure8.312113.8
Henry County, TNModerate pressure8.3117 MW2613.8
Uintah County, UTModerate pressure8.313 MW2813.8
Hanover County, VALow pressure8.311613.8
Russell County, VAModerate pressure8.312613.8
Montgomery County, AL

Meta

Low pressure8.311913.8
Pulaski County, ARModerate pressure8.316 MW3213.8
Manassas city, VA

AWS

No verdictn/a719 MWn/a
New York County, NY

Digital Realty

No verdictn/a615 MWn/a
Doña Ana County, NM

WSMR

No verdictn/a26 MWn/a
Richmond County, NY

Merrill Lynch

No verdictn/a227 MWn/a
Harrisonburg city, VANo verdictn/a2101 MWn/a
Virginia Beach city, VANo verdictn/a2n/a
Western Connecticut Planning Region, CT

CyrusOne

No verdictn/a218 MWn/a
Kings County, NY

Dataverge

No verdictn/a1n/a
Lynchburg city, VANo verdictn/a1n/a
Capitol Planning Region, CTNo verdictn/a1n/a
Greater Bridgeport Planning Region, CT

Digital Realty

No verdictn/a127 MWn/a
South Central Connecticut Planning Region, CTNo verdictn/a111 MWn/a

Showing 330 of 330 counties with mapped data center facilities. Sort by any column to compare the published national atlas values.

Methodology and FAQ

How the atlas is built

DCWSI weights modeled compliance stress at 60% and data center density at 40%. Water pressure is the inverse of a separate model weighting compliance stress, drought stress, and industrial-withdrawal percentile. Both are county-level screening tools, not facility audits. Read the full methodology.

What does "water pressure" mean here?
Water pressure is the inverse of a planning-model score that combines modeled compliance stress (50%), current drought stress (30%), and the county industrial-withdrawal percentile (20%). Higher values indicate more modeled pressure. It is not a site-capacity or siting decision.
Which counties have the most data centers in this dataset?
Northern Virginia (led by Loudoun County) holds the densest mapped concentration by facility count, followed by major markets in Texas, Arizona, California, Oregon, and Georgia. AWS accounts for the most mapped facilities nationally, ahead of Google, Microsoft, and Meta.
Where does the facility data come from?
The facility layer combines EPA ECHO active-facility records, EPA Clean Water Act permit records, OpenStreetMap data center features, and the IM3 Open Source Data Center Atlas (DOE/PNNL), all geocoded to county FIPS. Capacity estimates and industrial water baselines come from IM3 and USGS 2020 water-use data.
Is this a facility-level water-use audit?
No. DCWSI and water pressure are county-level screening metrics for journalists, researchers, and residents. They do not prove consumptive use, water rights, or utility-specific constraints for any single facility. Treat them as a first pass, then verify locally.

Sources: EPA ECHO, EPA Clean Water Act permits, OpenStreetMap, the IM3 Open Source Data Center Atlas (DOE/PNNL), USGS 2020 water-use data, and the WaterByCounty county water dataset. Total permitted discharge across mapped facilities: 1.1M gal/day.