35 datasets found
  1. Northern Virginia Data Center Market Size & Share Analysis - Industry...

    • mordorintelligence.com
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    Mordor Intelligence, Northern Virginia Data Center Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/northern-virginia-data-center-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2031
    Area covered
    Northern Virginia, Virginia, United States
    Description

    The Northern Virginia Data Center Market is Segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholescale, Hyperscale), End User (Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The Market Sizes and Forecasts are Provided in Terms of Volume (MW) for all the Above Segments.

  2. Data centers construction the U.S. 2016-2024

    • statista.com
    Updated Mar 5, 2025
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    Statista (2025). Data centers construction the U.S. 2016-2024 [Dataset]. https://www.statista.com/statistics/1224987/data-centers-construction-in-the-usa/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States is experiencing a surge in data center construction, with the power supply under construction reaching 6.4 gigawatts in 2024. This marks a 100 percent increase from previous years, reflecting the growing demand for data storage and processing capabilities across the country. The rapid expansion of data centers underscores their crucial role in supporting the digital infrastructure that powers businesses and consumers alike. Northern Virginia leads the charge Northern Virginia has emerged as the epicenter of data center growth in the United States. In 2023, the region boasted the highest existing data center power capacity, solidifying its position as the market with the largest data center inventory in the country. Furthermore, Northern Virginia continues to dominate new construction efforts, with data centers under construction in the second half of 2024 set to add a staggering 2.7 gigawatts of power capacity. This far outpaces other major markets such as Dallas, Austin, and NYC-NJ combined. Cloud infrastructure fuels growth The expansion of data centers is closely tied to the increasing adoption of cloud infrastructure services. Enterprise spending on cloud infrastructure services has soared in the past decade, fueled by organizations' growing demand for modern networking, storage, and database solutions. As companies continue to migrate their operations to the cloud, the need for robust data center facilities is expected to rise, further propelling the construction boom.

  3. United States Data Center Market Size & Share Analysis - Industry Research...

    • mordorintelligence.com
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    Mordor Intelligence, United States Data Center Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/united-states-data-center-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2018 - 2030
    Area covered
    United States
    Description

    The United States Data Center Market is segmented by Hotspot (Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New Jersey, New York, Northern California, Northern Virginia, Northwest, Phoenix, Salt Lake City), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

  4. U.S. Data center inventory 2021-2024, by primary market

    • statista.com
    Updated Aug 28, 2024
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    U.S. Data center inventory 2021-2024, by primary market [Dataset]. https://www.statista.com/statistics/1370189/us-data-center-inventory/
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    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Northern Virginia is by far the largest data center market in the United States when measured by total inventory. The region had capacity of around 2,600 megawatts in the first half of 2024, a significant increase on the previous year. The Dallas/Ft. Worth region had the second-highest capacity, followed by Chicago. Northern Virginia could face a slowdown in construction Situated close to major east coast urban centers, the Northern Virginia region is considered a key hyperscale data center hub. The region had a reported 1,540 megawatts of data center capacity under construction as of the second half of 2023, far more than any other U.S. market. However, future expansion may be hindered by shifting local infrastructure conditions, with the growing impact of large-scale facilities leading local decision makers to reassess planning legislation. Rental rates on the rise The average monthly rental rate for data center capacity in primary U.S. markets surged to over $174 per kilowatt in 2024. This is partially due to increased demand, with digital transformation driving the adoption of cloud services, and with the adoption of data intensive artificial intelligence (AI) applications. However, data centers operators are also experiencing difficulties in data center construction, as rising utilities costs and supply chain continue to apply pressure.

  5. Data centers inventory in selected markets in the U.S. 2024

    • statista.com
    Updated Mar 17, 2025
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    Statista (2025). Data centers inventory in selected markets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1224968/data-centers-inventory-in-the-usa-by-market/
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    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the power capacity of the existing data centers in Northern Virginia was 2.9 gigawatts. Northern Virginia was not only the market with the largest data center inventory in the United States but also the leading market in new data center capacities under construction.

  6. U

    US Data Center Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 16, 2024
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    AMA Research & Media LLP (2024). US Data Center Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/us-data-center-industry-11517
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    United States
    Variables measured
    Market Size
    Description

    The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  7. North America: Data center capacity under construction H2 2023, by market

    • statista.com
    Updated Jun 10, 2024
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    North America: Data center capacity under construction H2 2023, by market [Dataset]. https://www.statista.com/statistics/1368570/north-america-data-center-construction/
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    Dataset updated
    Jun 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of the second half of 2023, 1,540 megawatts of data center capacity were under construction in Northern Virginia in the United States. Northern Virginia is a major hub for hyperscale data centers, though the immense pressure that such facilities are placing on local infrastructure could cause delays in further construction. The Portland and Eastern Oregon area was the North American region with the second-highest capacity under construction at 542 megawatts.

  8. Vacancy rates of leading data center markets worldwide 2024

    • statista.com
    Updated Mar 19, 2025
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    Statista (2025). Vacancy rates of leading data center markets worldwide 2024 [Dataset]. https://www.statista.com/statistics/1456844/leading-data-center-markets-by-vacancy/
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    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Northern Virginia had the lowest vacancy rate among leading data center markets in 2024. Northern Virginia is the world's largest data center market by total inventory. As of the first quarter of the year, about 0.1. percent of the data center real estate was vacant.

  9. Data Center Rack Pdu Market Analysis North America, APAC, Europe, South...

    • technavio.com
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    Technavio, Data Center Rack Pdu Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, China, Canada, Germany, Italy - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/data-center-rack-pdu-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Data Center Rack PDU Market Size 2024-2028

    The data center rack PDU market size is forecast to increase by USD 983.8 million at a CAGR of 8% between 2023 and 2028. The market is experiencing significant growth due to several key drivers. The increasing demand for edge data centers, which require efficient power management solutions, is one such factor. Additionally, the wave in mobile data traffic and the resulting need for more data consumption capacity is driving the market. The Internet of Things (IoT) platforms and the proliferation of smart electric devices are also contributing to increased power usage in server rooms. To address these challenges, advanced Smart PDUs are gaining popularity due to their ability to monitor and manage power consumption in real-time. The proliferation of data-driven applications, cloud microservices, and IoT platforms is driving the need for edge data centers, which require PDUs that can efficiently manage power distribution and cooling systems. These devices offer precise power distribution and energy efficiency, making them an essential component of modern data center infrastructure. Overall, the market is expected to continue growing as businesses seek to optimize their power usage and reduce costs.

    Request Free Sample

    The market is evolving rapidly with the rise of digital traffic and data-driven applications. Modern data centers require reliable power distribution and efficient equipment cooling solutions to handle increasing bandwidth demands. Cloud based services and IoT integration have driven the adoption of smart PDUs, which offer real-time monitoring and advanced control over power usage, ensuring optimal performance and reducing energy consumption. Fiber optic lines and copper wires are essential for high-speed data transmission, while electric devices within server rooms require constant monitoring and protection. With application dominance in sectors like cloud computing and e-commerce, the need for strong PDUs, capable of managing power distribution and cooling effectively, has never been greater. A Smart PDU in a server room, integrated with cloud-based services and IoT (Internet of Things), enables real time monitoring of electric device, optimizing energy usage and supporting data driven applications for efficient power management.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Non-intelligent rack PDU
      Intelligent rack PDU
    
    
    Type
    
      Colocation
      Hosting
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      APAC
    
        China
    
    
      Europe
    
        Germany
        Italy
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Product Insights

    The non-intelligent rack PDU segment is estimated to witness significant growth during the forecast period. The market is experiencing a decline, but the demand for rack-mounted PDUs continues to rise. This trend is driven by the advantages they offer, including efficient use of space and cost-effective power distribution to network switches, servers, and other electronic devices.

    The increasing adoption of cloud computing by Small and Medium Enterprises (SMEs) is leading to the proliferation of mini data centers, where basic PDUs are commonly utilized for power management. However, the market share of basic PDUs lags behind that of intelligent PDUs due to their limitations, such as the lack of remote access and monitoring capabilities. Despite this, the cost-effectiveness of basic PDUs makes them a popular choice for many organizations seeking to optimize their IT services.

    Get a glance at the market share of various segments Request Free Sample

    The non-intelligent rack PDU segment accounted for USD 875.00 million in 2018 and showed a gradual increase during the forecast period.

    Regional Insights

    North America is estimated to contribute 37% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions Request Free Sample

    In North America, the expansion of data centers is on the rise, fueled by substantial investments from cloud service providers, colocation companies, and businesses seeking to enhance their IT infrastructure. Edge computing, 5G, multi-cloud services, data analytics, and the Internet of Things (IoT) are key drivers of this growth. The US, as a leading data center hub in North America, hosts major data center markets in cities such as Atlanta, Northern Virginia, Chicago, Dallas/Ft. Worth, and Silicon Valley. Notable companies have announced their plans to expand, further boosting the server market in the regi

  10. Most popular data center investment markets in North America 2024

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Most popular data center investment markets in North America 2024 [Dataset]. https://www.statista.com/statistics/1483965/most-popular-data-center-investment-markets-north-america/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    North America, United States
    Description

    Northern Virginia was the most popular market among investors targeting data center real estate in Northern America in 2024. About 68 percent of the respondents in a survey conducted in January that year were interested in investing in data centers in Northern Virginia. Dallas-Ft. Worth and Atlanta also stood out as some of the most preferred destinations for data center investment.

  11. U

    United States No of Patients: Suspect: West Virginia

    • ceicdata.com
    Updated Jul 27, 2023
    + more versions
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    CEICdata.com (2023). United States No of Patients: Suspect: West Virginia [Dataset]. https://www.ceicdata.com/en/united-states/centers-for-disease-control-and-prevention-no-of-sars-patients/no-of-patients-suspect-west-virginia
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    Dataset updated
    Jul 27, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 17, 2003 - Jul 15, 2003
    Area covered
    United States
    Description

    United States Number of Patients: Suspect: West Virginia data was reported at 1.000 Person in 15 Jul 2003. This stayed constant from the previous number of 1.000 Person for 07 Jul 2003. United States Number of Patients: Suspect: West Virginia data is updated daily, averaging 1.000 Person from Jun 2003 (Median) to 15 Jul 2003, with 17 observations. The data reached an all-time high of 1.000 Person in 15 Jul 2003 and a record low of 1.000 Person in 15 Jul 2003. United States Number of Patients: Suspect: West Virginia data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Centers for Disease Control and Prevention: No of SARS Patients.

  12. U

    Data from: Sediment Sample Locations Collected in March/April 2014 and...

    • data.usgs.gov
    • gimi9.com
    • +3more
    Updated Oct 30, 2014
    + more versions
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    Alisha Ellis; Marci Marot; Cathryn Wheaton; Julie Bernier; Christopher Smith (2014). Sediment Sample Locations Collected in March/April 2014 and October 2014 from Chincoteague Bay, Virginia and Maryland (U.S. Geological Survey Field Activity Numbers 14CTB01, and 14CTB22) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:3516c57a-c41e-402a-a55b-c15f0de2fc81
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    Dataset updated
    Oct 30, 2014
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Alisha Ellis; Marci Marot; Cathryn Wheaton; Julie Bernier; Christopher Smith
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Mar 26, 2014 - Oct 30, 2014
    Area covered
    Chincoteague Bay, Maryland, Virginia
    Description

    Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, located between Assateague Island and the Delmarva Peninsula in March/April 2014 (2014-301-FA) and October 2014 (2014-322-FA). The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with hydrodynamic and sediment transport models in order to evaluate pre- and post-storm (Hurricane Sandy) change. This report serves as an archive for sedimentological data derived from the surface sediment. Data are available for a seasonal comparison between March/April 2014 and October 2014. Downloadable data are available as Excel spreadsheets (sediment samples) and as JPEG files (maps). Additional fil ...

  13. Data from: Comparison of Youth Released From a Residential Substance Abuse...

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Comparison of Youth Released From a Residential Substance Abuse Treatment Center to Youth at a Traditional Juvenile Correctional Center in Virginia, 1998-2000 [Dataset]. https://catalog.data.gov/dataset/comparison-of-youth-released-from-a-residential-substance-abuse-treatment-center-to-y-1998-75ee4
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Description

    This study sought to evaluate the effectiveness of the structured substance abuse treatment program at Barrett Juvenile Correction Center in Virginia by comparing the outcomes of youth admitted to Barrett with the outcomes of youth who were eligible for admittance to Barrett but were detained at one of the traditional juvenile correctional centers in Virginia. The effectiveness of Barrett's program was also assessed by comparing the outcomes of youth who were admitted to Barrett but who differed according to how many of the four phases of treatment, focused on modifying negative attitudes and behaviors, they completed. Barrett differs from the six other juvenile correctional centers in Virginia in that it provides a highly structured substance abuse treatment program to all admitted youth. Youth are considered for admission to Barrett if they are male, aged 11 to 18, have a sentence of six to 18 months, and have a recommended or mandatory need for substance abuse treatment as determined by the Reception and Diagnostic Center (RDC), which assesses youths' needs prior to sentencing. Barrett's treatment program takes a therapeutic community approach, which emphasizes altering negative attitudes and behaviors through the completion of four sequential phases of treatment. In contrast, the goal of the traditional institutions was to achieve public safety while meeting the disciplinary, medical, recreational, and treatment needs of the youth. These facilities offered some treatment programs but only on an "as needed" basis. The sample for this study consists of all 412 youth released from Barrett Juvenile Correctional Center from July 1, 1998, to June 30, 2000, and a matched sample of 406 youth released from other juvenile correctional centers in Virginia during the same period. The treatment staff at Barrett submitted information on youths' treatment progress at the time of discharge. The RDC provided demographic, criminal history, and assessment information for all youths. The Virginia Department of Juvenile Justice provided information concerning actual time served and recidivism at the juvenile level. The Virginia State Police supplied additional recidivism data, including information on adult recidivism. Parole officers also provided data on recidivism and on progress toward meeting the conditions of parole. Demographic variables included in the dataset are race of the offender and his age at commitment. Clinical variables for Barrett youth only are Substance Abuse Subtle Screening Inventory (SASSI) and Intelligence Quotient (IQ) scores, total number of categories for which the youth scored yes on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), the length of the sentence, whether the youth had a recommended or mandatory need for substance abuse treatment, and the highest phase of treatment completed. Parole officers supplied data at three, six, and 12 months after release on whether they judged youths to be currently using a substance and whether youths were meeting the conditions of parole. These conditions included curfew, counseling services, educational programs, the employment requirement, and the electronic monitoring requirement. Also included are arrests and substance-related charges as reported by the Virginia Department of Juvenile Justice, the Virginia State Police, and parole officers. A variable for total reconvictions is included as well.

  14. a

    Shopping Centers

    • hub.arcgis.com
    • data.virginia.gov
    • +1more
    Updated May 19, 2017
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    Prince William County, Virginia (2017). Shopping Centers [Dataset]. https://hub.arcgis.com/maps/PWCGOV::shopping-centers
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    Dataset updated
    May 19, 2017
    Dataset authored and provided by
    Prince William County, Virginia
    Area covered
    Description

    Point data layer representing the location of named shopping centers in Prince William County. The data layer is updated as needed based on notification of new or closed facilities. Reviewed fully on an annual basis.

  15. d

    Loudoun County History: The Edds, Ewing and Nokes Families

    • catalog.data.gov
    • data.virginia.gov
    Updated Jan 31, 2025
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    Loudoun County GIS (2025). Loudoun County History: The Edds, Ewing and Nokes Families [Dataset]. https://catalog.data.gov/dataset/loudoun-county-history-the-edds-ewing-and-nokes-families
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Twentieth Century history highlighting Black families from the Nokes area (present-day Dulles Town Center) of the Eastern Loudoun County, Virginia. Information and locations are derived from an interview with Ms. Carrie Nokes in 2002 as well as historic maps, imagery, and documents. Carrie Nokes sat down for an interview with Pauline Singletary (Chair of the Black History Committee of Friends of the Thomas Balch Library, Inc) to discuss the community around Nokes. The interview was conducted on March 14, 2002. The following story map highlights portions of her recollections of early 20th century life in eastern Loudoun County.

  16. National Electronic Health Records Survey, Restricted data: 2012-2015,...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    html
    Updated Sep 27, 2023
    + more versions
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    Centers for Disease Control and Prevention (2023). National Electronic Health Records Survey, Restricted data: 2012-2015, 2017-2019, 2021 [Dataset]. https://data.virginia.gov/dataset/national-electronic-health-records-survey-restricted-data-2012-2015-2017-2019-2021
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    htmlAvailable download formats
    Dataset updated
    Sep 27, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The National Electronic Health Records Survey (NEHRS) is an annual survey of non-federally employed, office-based physicians practicing in the United States (excluding those in the specialties of anesthesiology, radiology, and pathology). NEHRS began in 2008 and was originally designed as an annual mail supplement to the National Ambulatory Medical Care Survey (NAMCS). Since 2012, NEHRS has been administered as a survey independent of NAMCS. Data from NEHRS can be used to produce state and national estimates of EHR adoption and capabilities, burden associated with EHRs, and progress physicians have made towards meeting the policy goals of the HITECH Act. In more recent years, survey questions have also asked about Promoting Interoperability programs, sponsored by the Centers for Medicare and Medicaid Services (CMS).

    Restricted file data dictionaries are available.

  17. Monthly data center rent in selected markets in the U.S. 2024

    • statista.com
    Updated Mar 17, 2025
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    Statista (2025). Monthly data center rent in selected markets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1224973/data-centers-rent-in-the-usa-by-market/
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    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second half of 2024, the average monthly per kilowatt rent of data centers in the Silicon Valley in the United States was between 155 U.S. dollars and 250 U.S. dollars. Northern Virginia, which is the market with the largest data center inventory and the most new capacity under construction, had monthly rent between 175 and 225 U.S. dollars.

  18. NOAA/WDS Paleoclimatology - Copenheaver - Corporate Research Center,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 1, 2024
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2024). NOAA/WDS Paleoclimatology - Copenheaver - Corporate Research Center, Virginia Tech - PIST - ITRDB VA047 [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-copenheaver-corporate-research-center-virginia-tech-pist-itrdb-va047
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    Dataset updated
    Jan 1, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Description

    This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Virginia, United States Of America. The time period coverage is from 39 to -73 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  19. a

    Loudoun Parcels

    • geohub-loudoungis.opendata.arcgis.com
    • data.virginia.gov
    • +7more
    Updated Apr 13, 2016
    + more versions
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    Loudoun County GIS (2016). Loudoun Parcels [Dataset]. https://geohub-loudoungis.opendata.arcgis.com/datasets/loudoun-parcels/api
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    Dataset updated
    Apr 13, 2016
    Dataset authored and provided by
    Loudoun County GIS
    Area covered
    Description

    More MetadataData updated daily.A parcel is a tract or plot of land surveyed and defined by legal ownership. Data were compiled from plats and deeds recorded at the Clerk of the Court and from historic tax maps. Source material was digitized or the coordinates were entered into the database via ARC/INFO Coordinate Geometry (COGO). Digital data from engineering companies has also been incorporated for newer subdivisions. A MCPI number is used to identify each parcel, which is a unique ID number further explained below. Purpose: Parcels are used to support a variety of services including assessment, permitting, subdivision review, planning, zoning, and economic development. Parcel data were initially developed to replace existing tax maps. As a result, there are parcel polygons digitized from tax maps that do not represent land parcels but are taxable entities such as leaseholds or easements. Supplemental Information: Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: Parcels are updated on an hourly basis from recorded deeds and plats. Depending on volume and date of receipt of recordation information, data may be updated 2-3 weeks following recordation. Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. MCPI: 9 digit unique parcel ID that is a combination of: MAP, CELL, and PARCEL. MAP: 3 digit map number (001-701) corresponding with map tile index. CELL: 2 digit map grid location of parcel center; the grid is comprised of 1000 by 1000 ft grid cells numbered as rows and columns (Columns numbered > 5 6 7 8 9 0; Rows numbered > 1 2 3 4). PARCEL: 4 digit location of polygon center based on the 1927 Virginia State Plane coordinate grid where an easting and northing measurement is taken. example: 6654 from: E 2229668 N475545. The MAP, CELL, and PARCEL values of a parcel do not change when a parcel is altered by a boundary line adjustment or becomes residue from a subdivision. The MAP, CELL, and PARCEL values may therefore be inconsistent with the location of polygon center. MAP, CELL, and PARCEL values have been manually altered for some parcels to agree with other databases; as a result, not all parcels can be located by the MAP, CELL, and PARCEL values. Data Owner: Office of Mapping and Geographic Information

  20. U

    United States West Virginia: GR: OS: CM: Charges: Parking Facilities

    • ceicdata.com
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    CEICdata.com, United States West Virginia: GR: OS: CM: Charges: Parking Facilities [Dataset]. https://www.ceicdata.com/en/united-states/revenue--expenditure-state-and-local-government-west-virginia/west-virginia-gr-os-cm-charges-parking-facilities
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2004 - Jun 1, 2015
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States West Virginia: GR: OS: CM: Charges: Parking Facilities data was reported at 9,187.000 USD th in 2015. This records an increase from the previous number of 8,839.000 USD th for 2014. United States West Virginia: GR: OS: CM: Charges: Parking Facilities data is updated yearly, averaging 7,300.000 USD th from Jun 1977 (Median) to 2015, with 37 observations. The data reached an all-time high of 9,216.000 USD th in 2013 and a record low of 3,362.000 USD th in 1977. United States West Virginia: GR: OS: CM: Charges: Parking Facilities data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F057: Revenue & Expenditure: State and Local Government: West Virginia.

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Mordor Intelligence, Northern Virginia Data Center Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/northern-virginia-data-center-market
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Northern Virginia Data Center Market Size & Share Analysis - Industry Research Report - Growth Trends

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pdf,excel,csv,pptAvailable download formats
Dataset authored and provided by
Mordor Intelligence
License

https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

Time period covered
2019 - 2031
Area covered
Northern Virginia, Virginia, United States
Description

The Northern Virginia Data Center Market is Segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholescale, Hyperscale), End User (Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The Market Sizes and Forecasts are Provided in Terms of Volume (MW) for all the Above Segments.

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