Aterio Datasets

US Data Center Locations and Power Demand

Discover comprehensive data on Locations, Sizes, and Estimated Power Demand.

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About

Aterio.io's "US Data Centers Dataset" provides a comprehensive inventory of data centers across the United States, including those currently operational, under development, and planned for future construction. Sourced from data center providers, press releases, satellite imagery, energy grid data, Aterio’s proprietary energy curves, and utility company records, this dataset offers detailed information on locations, sizes, utility companies serving those markets, and estimated power demand. Some of the tickers covered by the dataset include LUMN, AMT, DLR,CCOI, EQIX, GOOG, NTTYY, RXT, META, AMZN, CDP, IRM, AAPL, MSFT, ORCL, and IBM.

Dataset Components:

  • Enhanced data quality by incorporating proprietary insights, accounting for various factors contributing to data center growth and energy consumption using advanced analytical methods.
  • Metadata mapping linking attribute names to table IDs, geographical coordinates to city and county names, and regional power grid zones.

Why Choose Aterio:

  • Delve into the specifics of data center locations and sizes, offering users a clear understanding of regional data center distribution and capacity. Our dataset meticulously tracks these variables, enabling users to grasp the current landscape and historical patterns.
  • Gain insights into the estimated power demand of data centers with precision. Projected with meticulous attention to detail, these estimates provide invaluable insights into future energy needs, aiding in strategic planning and decision-making.
  • Our dataset categorizes data centers by size and power demand, facilitating granular analysis and tailored insights. The categories are segmented as follows:
  • Small (up to 1 MW): Understand the dynamics of smaller data centers, essential for niche applications and localized services.
  • Medium (1-10 MW): Explore mid-sized data centers, crucial for regional services, enterprise needs, and cloud service providers.
  • Large (10-50 MW): Gain insights into larger facilities, pivotal for understanding major market players and their operational demands.
  • Mega (50+ MW): Analyze mega data centers, important for understanding the backbone of global IT infrastructure and large-scale cloud providers.

Update every 2 weeks

Stay ahead of the curve with our dataset's 24 yearly updates. We understand the importance of currentdata in today's fast-paced environment, ensuring that our users have access to the latest insights to inform their strategies promptly.

Business Needs

IT Infrastructure Planning Optimize data center placement, size, and capacity planning to align with projected power demand and operational needs.

Energy Consumption Analysis Inform energy policies, efficiency improvements, and sustainable practices by understanding the power demands of various data center categories.

Market Analysis Evaluate competitive landscapes, market growth potential, and regional demand for data center services to tailor business strategies effectively.

Policy Analysis Shape policies related to energy use, technological infrastructure, and environmental impact by anticipating trends in data center growth and power consumption.

Fields

Column NameDescription
ATERIO_DATACENTER_UNIQUE_IDAterio unique ID of the data center facility
DATACENTER_BUILDING_NAMEName of the data center facility
DATACENTER_CAMPUS_NAMEName of the data center campus
PROVIDER_NAMEName of the data center provider
PROVIDER_URLURL of the data center provider
PROVIDER_PUBLIC_PRIVATEIs the Provider a Public or Private Company
PROVIDER_TICKER_NAMEStock Ticker
PROVIDER_BLOOMBERG_TICKER_NAMEBloomberg Formatted Ticker
STOCK_EXCHANGE_PROVIDER_NAMEStock Ticker including Stock Exchange
PROVIDER_BACKED_BYCorporations related to Provider / Investors backing the Provider
DATACENTER_STAGEActive / Under Construction / Announcement of Development
FULL_ADDRESSThe Complete Address Of The Store Location
ZIP_CODEUS Zip Code
COUNTY_FIPS_CODEFederal Information Processing Standards (FIPS) code for counties
COUNTY_NAMECounty name
CITY_NAMECity name
PLACE_FIPS_CODECity FIPS Code
STATE_CODEState code
LOCATION_LATITUDELatitude coordinate location
LOCATION_LONGITUDELongitude coordinate location
SITE_ACREAGESite Acreage
TOT_FACILITY_SPACE_SQFTTotal space of the facility in square feet
TOT_DATACENTER_SPACE_SQFTTotal space of the data center in square feet
EST_TOT_DATACENTER_SPACE_SQFT_LOWEREstimated total space of the data center in square feet (lower bound)
EST_TOT_DATACENTER_SPACE_SQFT_UPPEREstimated total space of the data center in square feet (upper bound)
TOT_POWER_MWTotal power IT capacity data center in MW
EST_TOT_POWER_MW_LOWEREstimated total power IT capacity data center in MW (lower bound)
EST_TOT_POWER_MW_UPPEREstimated total power IT capacity data center in MW (upper bound)
AVG_MARKET_POWER_COSTAverage market cost of power consumption
CENTS_KWHAverage market cost in cents/kWh
YEAR_BUILTYear built of the data center facility
UTILITY_NAMEName of Utility Company servicing the Region
UTILITY_CODEUtility Code
UTILITY_PUBLIC_PRIVATEIs the Utility a Public or Private Company
UTILITY_TICKER_NAMEStock Ticker
UTILITY_BLOOMBERG_TICKER_NAMEBloomberg Formatted Ticker
UTILITY_EXCHANGE_PROVIDER_TICKER_NAMEStock Ticker including Stock Exchange
DATASHEET_URLData Center Datasheet URL
MAP_URLSatelite Photo of Facility URL
NOTESNotes on Data Center development