Aterio Datasets
US Data Center Locations and Power Demand
Discover comprehensive data on Locations, Sizes, and Estimated Power Demand.
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 Name | Description |
---|---|
ATERIO_DATACENTER_UNIQUE_ID | Aterio unique ID of the data center facility |
DATACENTER_BUILDING_NAME | Name of the data center facility |
DATACENTER_CAMPUS_NAME | Name of the data center campus |
PROVIDER_NAME | Name of the data center provider |
PROVIDER_URL | URL of the data center provider |
PROVIDER_PUBLIC_PRIVATE | Is the Provider a Public or Private Company |
PROVIDER_TICKER_NAME | Stock Ticker |
PROVIDER_BLOOMBERG_TICKER_NAME | Bloomberg Formatted Ticker |
STOCK_EXCHANGE_PROVIDER_NAME | Stock Ticker including Stock Exchange |
PROVIDER_BACKED_BY | Corporations related to Provider / Investors backing the Provider |
DATACENTER_STAGE | Active / Under Construction / Announcement of Development |
FULL_ADDRESS | The Complete Address Of The Store Location |
ZIP_CODE | US Zip Code |
COUNTY_FIPS_CODE | Federal Information Processing Standards (FIPS) code for counties |
COUNTY_NAME | County name |
CITY_NAME | City name |
PLACE_FIPS_CODE | City FIPS Code |
STATE_CODE | State code |
LOCATION_LATITUDE | Latitude coordinate location |
LOCATION_LONGITUDE | Longitude coordinate location |
SITE_ACREAGE | Site Acreage |
TOT_FACILITY_SPACE_SQFT | Total space of the facility in square feet |
TOT_DATACENTER_SPACE_SQFT | Total space of the data center in square feet |
EST_TOT_DATACENTER_SPACE_SQFT_LOWER | Estimated total space of the data center in square feet (lower bound) |
EST_TOT_DATACENTER_SPACE_SQFT_UPPER | Estimated total space of the data center in square feet (upper bound) |
TOT_POWER_MW | Total power IT capacity data center in MW |
EST_TOT_POWER_MW_LOWER | Estimated total power IT capacity data center in MW (lower bound) |
EST_TOT_POWER_MW_UPPER | Estimated total power IT capacity data center in MW (upper bound) |
AVG_MARKET_POWER_COST | Average market cost of power consumption |
CENTS_KWH | Average market cost in cents/kWh |
YEAR_BUILT | Year built of the data center facility |
UTILITY_NAME | Name of Utility Company servicing the Region |
UTILITY_CODE | Utility Code |
UTILITY_PUBLIC_PRIVATE | Is the Utility a Public or Private Company |
UTILITY_TICKER_NAME | Stock Ticker |
UTILITY_BLOOMBERG_TICKER_NAME | Bloomberg Formatted Ticker |
UTILITY_EXCHANGE_PROVIDER_TICKER_NAME | Stock Ticker including Stock Exchange |
DATASHEET_URL | Data Center Datasheet URL |
MAP_URL | Satelite Photo of Facility URL |
NOTES | Notes on Data Center development |