As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

The geographic data are built from the Technical Information Management System (TIMS). TIMS consists of two separate databases: an attribute database and a spatial database. The attribute information for offshore activities is stored in the TIMS database. The spatial database is a combination of the ARC/INFO and FINDER databases and contains all the coordinates and topology information for geographic features. The attribute and spatial databases are interconnected through the use of common data elements in both databases, thereby creating the spatial datasets. The data in the mapping files are made up of straight-line segments. If an arc existed in the original data, it has been replaced with a series of straight lines that approximate the arc. The Gulf of America OCS Region stores all its mapping data in longitude and latitude format. All coordinates are in NAD 27. Data can be obtained in three types of digital formats: INTERACTIVE MAP: The ArcGIS web maps are an interactive display of geographic information, containing a basemap, a set of data layers (many of which include interactive pop-up windows with information about the data), an extent, navigation tools to pan and zoom, and additional tools for geospatial analysis. SHP: A Shapefile is a digital vector (non-topological) storage format for storing geometric _location and associated attribute information. Shapefiles can support point, line, and area features with attributes held in a dBASE format file. GEODATABASE: An ArcGIS geodatabase is a collection of geographic datasets of various types held in a common file system folder, a Microsoft Access database, or a multiuser relational DBMS (such as Oracle, Microsoft SQL Server, PostgreSQL, Informix, or IBM DB2). The geodatabase is the native data structure for ArcGIS and is the primary data format used for editing and data management.

Top artificial intelligence firms are racing to build the biggest and most powerful Nvidia server chip clusters to win in AI. Below, we mapped the biggest completed and planned server clusters. Check back often, as we'll update the list when we confirm more data.

Link Tonnages, Locks, Docks, Principle Ports, River Miles, Waterway Network, Waterway Network Nodes.

Scanned Pipeline Maps Query - You can now request these same well files, well logs, and well data as a free download through the File Request System ( https://www.data.bsee.gov/Other/FileRequestSystem/Default.aspx ). The Disc Media Store will be removed at some point in the future.

The Data Center Opportunity Zone Overlay District was created for the purpose of promoting development of data centers within areas of the County where there is existing infrastructure that could adequately support the proposed use. This District continues the County's efforts to attract and advance high-tech industrial development while limiting negative impacts to communities. (Ord. No. 16-21, Attch., 5-17-16)

The U.S. Data Center market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

IM3 Open Source Data Center Atlas Description This dataset contains locations of existing data center facilities in the United States. Data center locations were derived from OpenStreetMap (OSM), a crowd-sourced database. Data points from OSM are processed in various ways to determine additional variables provided in the data including: facility area (square feet), associated US county, and US state. This dataset can be used to identify areas of concentrated data center development and inform government and private sector planning strategies for future buildout of data centers and the infrastructure necessary to support it. Usage Notes Validation of OSM-derived data center locations is an ongoing development under the IM3 project, and the database will be updated as new information becomes available. In some instances, both the data center area (e.g., campus) and individual data center buildings are included as overlapping areas in the database. Both values are retained. Data center points, buildings, and campus areas are provided as separate layers in the downloadable data package. Note that data items are not necessarily complete across layers. That is, a specific data center may only be present as a single point geometry in the "point" layer while other data centers are represented in both the campus and building layers. In some cases, data center campuses and/or buildings straddle a county boundary line. Mappings to both counties are retained in the database as separate rows. These data rows will have the same data center id information, but each will have different county information. Crowd-sourced data, by nature, relies on individuals and communities to provide information. As a result, some data may be missing where it has not yet been reported. As we collect information on additional data center locations and as OSM receives additional contributions, the database will be updated to capture additional data points not yet shown. Technical Information Data is available for download under the following formats: GeoPackage (GPKG) CSV Geospatial data is provided in the WGS84 (EPSG:4326) coordinate reference system. The GeoPackage download contains the following layers. See usage notes for more information. "point" "building" "campus" The "point" layer includes all data from OSM that had POINT geometry type (i.e., individual coordinates). The "building" layer includes all OSM data that did not have POINT geometry and where the building tag in the OSM export was neither equal to "no" or null. Data that did not meet the "point" or "building" qualification was assumed to be a facility campus and included in the "campus" layer. The dataset contains the following parameters. Variables provided by OSM are labeled with (OSM-provided). id - unique identification number (OSM-provided with prefix of "node/", "relation/" and similar attributes removed) state - name of US state state_abb - two letter US state abbreviation state_id - state ID number county - name of US county county_id - county ID number ref - reference numbers or codes (OSM-provided) operator - the name of the company, corporation, or person in charge facility (OSM-provided) name - name of facility (OSM-provided) sqft - surface area of facility polygon, measured in square feet. Only available for "building" and "campus" layers lat - latitude of data centroid point lon - longitude of data centroid point type – represented spatial information. One of "point", "building", or "campus". geometry – POLYGON geometry of area footprint (in "campus" and "building" layers) or POINT geometry of locations (in "point" layer). This parameter is not included in the csv download. Attribution Data center locations were derived from OpenStreetMap, which is made available at openstreetmap.org under the Open Database License (ODbL). US state and county boundary information was collected from the US Census Bureau for the year 2024, which is made publicly available at https://www.census.gov/geographies/mapping-files.html Acknowledgment IM3 is a multi-institutional effort led by Pacific Northwest National Laboratory and supported by the U.S. Department of Energy's Office of Science as part of research in MultiSector Dynamics, Earth and Environmental Systems Modeling Program. License The IM3 Open Source Data Center Atlas is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Disclaimer This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor the Contractor, nor any or their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST NATIONAL LABORATORYoperated byBATTELLEfor theUNITED STATES DEPARTMENT OF ENERGYunder Contract DE-AC05-76RL01830

The Alternative Fuels Data Center (AFDC) provides information, data, and tools to help fleets and other transportation decision makers find ways to reduce petroleum consumption through the use of alternative and renewable fuels, advanced vehicles, and other fuel-saving measures. The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.

The U.S. Data Center Construction market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

The UAE Data Center Power market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

Responding to a 2024 survey, data center owners and operators reported an average annual power usage effectiveness (PUE) ratio of 1.56 at their largest data center. PUE is calculated by dividing the total power supplied to a facility by the power used to run IT equipment within the facility. A lower figure therefore indicates greater efficiency, as a smaller share of total power is being used to run secondary functions such as cooling.

The China Data Center Power market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates

Title: Kids Count Data Center

Summary: The Annie E. Casey Foundation NM Kids Count Data Center, with socioeconomic data including data on food insecurity and social benefits. Query Page.

Notes:

Prepared by: Kids Count Data Center, URL uploaded by EMcRae_NMCDC

Source: This is a link from Kids Count Data Center basic query page, URL is https://datacenter.kidscount.org/data/#USA/1/0/char/0

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=2b63101d72ff4d7783717ba8d60b5853

UID: 73, 98

Data Requested: Family income spent on basic need, and Food security by demo and socioeconomic status, and socioeconomic/population health, and NM Voices for Children data

Method of Acquisition: Linking to Kids Count Data Center webpage.

Date Acquired: Link was uploaded on May 9, 2022. Data is maintained by the Kids Count Data Center page.

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; U.S. Geological Survey; National Park Service; and the National Geophysical Data Center to produce benthic habitat maps and georeferenced imagery for Puerto Rico and the U.S. Virgin Islands. This project was conducted in support of the U.S. Coral Reef Task Force. These point data were generated while conducting ground validation during map preparation.

The Indonesia Data Center Market report segments the industry into Hotspot (Greater Jakarta, Rest of Indonesia), Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), and Absorption (Non-Utilized, Utilized). Get five years of historical data alongside five-year market forecasts.

The Data Center at the Guttmacher Institute is focused on providing information on the state, national, and international level related to reproductive and sexual health. Background The Data Center is maintained by the Guttmacher Institute. The Guttmacher Institute’s goal is to advance the sexual and reproductive health in the United States and worldwide through an interrelated program of social science research, policy analysis and public education designed to generate new ideas, encourage enlightened public debate and promote sound policy and program development. In 2009, Guttmacher was designated an official Collaborating Center for Reproductive Health by the World Health Organization and its regional office, the Pan American Health Organization. The Institute produces a wide range of publications and resources on topics pertaining to sexual and reproductive health, including International Perspectives on Sexual and Reproductive Health, the Guttmacher Policy Review and Perspectives on Sexual and Reproductive Health. The Data Center allows users to search on the national, inter national, and state level for specific laws and policies related to title X, family planning, abortion policies, contraceptive needs and services, and teen pregnancy. User functionality Users are able to search U.S. and state data as well as international data. State profiles and country summaries are provided and include synopses of the main legislation related to sexual and reproductive health in that area. Users are also able to customize domestic and international data by creating a specific table, tracking a specific trend, or generating a specific map. Users are able to select specific indicators including data related to abortions, adol escents, demographics, contraception, pregnancy, and services and financing. Data Notes Users are able to download reports and summaries in html or pdf formats. If users generate tables or maps they are created in html and excel formats. The source of the data is clearly labeled and provided for each table/report. There is no indication on the website as to how often the data is updated.

The Russia Data Center market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

The Urban Institute established the Reentry Mapping Network (RMN), a group of jurisdictions applying a data-driven, spatial approach to prisoner reentry. The purpose of the study was to examine three National Institute of Justice-funded RMN sites: Milwaukee, Wisconsin, Washington, DC, and Winston-Salem, North Carolina. As members of the Reentry Mapping Network, the three sites collected local data related to incarceration, reentry, and community well-being. The Nonprofit Center of Milwaukee's Neighborhood Data Center was the lead Reentry Mapping Network partner in Milwaukee. Data on a total of 168 census tracts in Milwaukee (Part 1) during the calendar year 2003 were obtained from the Wisconsin Department of Corrections. NeighborhoodInfo DC was the lead reentry mapping network partner in Washington, DC. Data on a total of 7,286 ex-offenders in Washington, DC (Part 2) during the calendar year 2004 were obtained from the Court Services and Offender Supervision Agency (CSOSA) for the District of Columbia. The Winston-Salem Reentry Mapping Network project was managed by the Center for Community Safety (CCS), a public service and research center of Winston-Salem State University. Data on a total of 2,896 ex-offenders in Forsyth County (Part 3) during the calendar year 2003 were obtained from the North Carolina Department of Corrections (DOC), the Forsyth County Sheriff's Department (Forsyth County Detention Center [FCDC]), and the North Carolina Department of Juvenile Justice and Delinquency Prevention (DJJDP). The Milwaukee, Wisconsin Data (Part 1) contain a total of 95 variables including race, ethnicity, gender, marital status, education, job status, dependents, general risk assessment, alcohol risk, drug risk, need for alcohol treatment, and need for drug treatment. Also included are four geographic variables. The Washington, DC Data (Part 2) contain a total of 13 variables including supervision type, whether supervision began in calendar year 2004, date supervision period began, date supervision period ended, sex, marital status, ethnicity, age, education, unemployment status, state, and Census tract. The Winston-Salem, North Carolina Data (Part 3) contain a total of 14 variables including race, sex, primary offense, admittance date, date pardoned, street, city, state, status, jurisdiction, and age at admission.

The Thailand Data Center market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.