100+ datasets found
  1. U.S. annual GDP growth in Virginia 2000-2023

    • statista.com
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    Statista, U.S. annual GDP growth in Virginia 2000-2023 [Dataset]. https://www.statista.com/statistics/588157/virginia-gdp-growth/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the real gross domestic product (GDP) of Virginia increased by roughly 2.9 percent compared to the previous year. 2021 saw the largest growth since 2000 as the Virginia economy began its recovery from the COVID-19 pandemic.

  2. N

    Virginia Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Virginia Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Virginia from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/virginia-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Virginia
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Virginia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Virginia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Virginia was 8.81 million, a 0.88% increase year-by-year from 2023. Previously, in 2023, Virginia population was 8.73 million, an increase of 0.59% compared to a population of 8.68 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Virginia increased by 1.71 million. In this period, the peak population was 8.81 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Virginia is shown in this column.
    • Year on Year Change: This column displays the change in Virginia population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Virginia Population by Year. You can refer the same here

  3. U.S. annual GDP growth in West Virginia 2000-2023

    • statista.com
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    Statista, U.S. annual GDP growth in West Virginia 2000-2023 [Dataset]. https://www.statista.com/statistics/1036450/west-virginia-real-gdp-growth/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the real GDP of West Virginia increased by 4.7 percent compared to the previous year. The GDP of the United States grew by 2.9 percent in 2023, and 2.5 percent in 2022.

  4. N

    Virginia Beach city, VA Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Virginia Beach city, VA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Virginia Beach city from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/virginia-beach-city-va-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Virginia Beach, Virginia
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Virginia Beach city population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Virginia Beach city across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Virginia Beach city was 453,649, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Virginia Beach city population was 455,069, a decline of 0.76% compared to a population of 458,569 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Virginia Beach city increased by 26,825. In this period, the peak population was 459,684 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Virginia Beach city is shown in this column.
    • Year on Year Change: This column displays the change in Virginia Beach city population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Virginia Beach city Population by Year. You can refer the same here

  5. V

    Strategic Growth Areas

    • data.virginia.gov
    • gis.data.vbgov.com
    • +2more
    Updated Oct 5, 2022
    + more versions
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    Virginia Beach (2022). Strategic Growth Areas [Dataset]. https://data.virginia.gov/dataset/strategic-growth-areas
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    html, arcgis geoservices rest api, geojson, csv, zip, kmlAvailable download formats
    Dataset updated
    Oct 5, 2022
    Dataset provided by
    {{source}}
    Authors
    Virginia Beach
    Description

    Identified areas planned to accommodate and absorb urban growth.

  6. a

    GO Virginia Regions

    • hub.arcgis.com
    • gis.vedp.org
    • +1more
    Updated Jan 19, 2017
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    VEDP_OpenData (2017). GO Virginia Regions [Dataset]. https://hub.arcgis.com/datasets/ad0c96e6dcb7452fabdf52cd02b7e4e3
    Explore at:
    Dataset updated
    Jan 19, 2017
    Dataset authored and provided by
    VEDP_OpenData
    Area covered
    Description

    These regions were defined by the Virginia Growth and Opportunity (Go Virginia) board in December 2016. Regional Councils established for each area apply for grants from the Virginia Growth and Opportunity Fund.

    Updated on an as-needed basis.Additional Resources:GO VirginiaVirginia Department of Housing and Community Development

  7. d

    Data from: Forest community biomass and growth in Great Dismal Swamp,...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 19, 2025
    + more versions
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    U.S. Geological Survey (2025). Forest community biomass and growth in Great Dismal Swamp, Virginia and North Carolina, USA [Dataset]. https://catalog.data.gov/dataset/forest-community-biomass-and-growth-in-great-dismal-swamp-virginia-and-north-carolina-usa
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Great Dismal Swamp, United States, Virginia, North Carolina
    Description

    Forest surveys were conducted in nine 20 m x 25 m study plots, split into 3 representatives each for three forest types in Great Dismal Swamp, VA and NC, USA, December 2015 - February 2018. Trees, saplings, and shrubs were identified to species and measured for estimates of standing stocks. Standing stock data include: tree diameter at breast height (dbh), height, and condition; sapling dbh; shrub diameter at root collar, and height. In each plot, roughly 10 co-dominant trees were equipped with dendrometer bands and measured annually for growth estimates.

  8. U.S. West Virginia fastest growing private companies 2022, by growth

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). U.S. West Virginia fastest growing private companies 2022, by growth [Dataset]. https://www.statista.com/statistics/1046675/fastest-growing-private-companies-west-virginia-revenue/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the fastest growing private company in West Virginia was Trilogy Innovations, headquartered in Bridgeport. The IT services company grew by ***** percent that year. Following Trilogy Innovations was McKinley Architecture and Engineering, which grew *** percent.

  9. Land Development in Virginia - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 12, 2025
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    IBISWorld (2025). Land Development in Virginia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/virginia/land-development/41528/
    Explore at:
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    The Land Development industry in Virginia is expected to grow an annualized x.x% to $x.x million over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x million.

  10. N

    Richmond County, VA Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Richmond County, VA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Richmond County from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/richmond-county-va-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Richmond County, Virginia
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Richmond County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Richmond County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Richmond County was 9,184, a 0.64% increase year-by-year from 2022. Previously, in 2022, Richmond County population was 9,126, an increase of 0.54% compared to a population of 9,077 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Richmond County increased by 404. In this period, the peak population was 9,276 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Richmond County is shown in this column.
    • Year on Year Change: This column displays the change in Richmond County population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Richmond County Population by Year. You can refer the same here

  11. T

    United States - Real Gross Domestic Product Growth: Government and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 14, 2025
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    TRADING ECONOMICS (2025). United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Virginia Beach (Independent City) County, VA [Dataset]. https://tradingeconomics.com/united-states/real-gross-domestic-product-growth-government-and-government-enterprises-in-virginia-beach-independent-city-county-va-fed-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Virginia Beach (Independent City) County, VA was 124.06300 % Chg. from Preceding Period in January of 2024, according to the United States Federal Reserve. Historically, United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Virginia Beach (Independent City) County, VA reached a record high of 124.06300 in January of 2024 and a record low of 82.83600 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Virginia Beach (Independent City) County, VA - last updated from the United States Federal Reserve on November of 2025.

  12. a

    Virginia Schools - Higher Education

    • hub.arcgis.com
    • vgin.vdem.virginia.gov
    • +1more
    Updated Jan 29, 2025
    + more versions
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    University of Virginia (2025). Virginia Schools - Higher Education [Dataset]. https://hub.arcgis.com/datasets/7cda0b41806e49c1a2ae4dd0246e6f4e
    Explore at:
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    University of Virginia
    Area covered
    Description

    This layer began as part of the Virginia.gov data development project in 2008-2009. VGIN was tasked to generate cartography and data for a specific application for location of Virginia state agency locations in relation to the project. In 2010, The State Broadband Data Development Program (SBDD) Community Anchor Institutions (CAI) dataset leveraged much of that data and catalogued broadband service to a specific feature. The points have since been checked and updated annually as part of the Virginia Landmark dataset. The data is matched to the Virginia Address Point dataset. There are numerous data sources associated to the point. The general development methodology is as follows: The facility data was extracted and geocoded to the VGIN Geocoding service. If results were positioned on the Road Centerline by the RCL locator, those features were subsequently updated and moved to match the address point in the data layer. Unmatched results were added to the map. Non-spatial address location data is harvested into a spreadsheet by the source agency and checked against the GIS data annually. Fields for Landmark Name, Place Type, Source, and Source Type can be used to differentiate specific data as stored in the dataset.

  13. CDC Child Growth Charts

    • data.virginia.gov
    • healthdata.gov
    • +3more
    html
    Updated Jul 25, 2023
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). CDC Child Growth Charts [Dataset]. https://data.virginia.gov/dataset/cdc-child-growth-charts
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    CDC child growth charts consist of a series of percentile curves that illustrate the distribution of selected body measurements in U.S. children. Pediatric growth charts have been used by pediatricians, nurses, and parents to track the growth of infants, children, and adolescents in the United States since 1977. Growth charts are not intended to be used as a sole diagnostic instrument. Instead, growth charts are tools that contribute to forming an overall clinical impression for the child being measured.

  14. National Survey of Family Growth

    • data.virginia.gov
    • healthdata.gov
    • +5more
    csv
    Updated Jul 25, 2023
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). National Survey of Family Growth [Dataset]. https://data.virginia.gov/dataset/national-survey-of-family-growth
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    The National Survey of Family Growth (NSFG) gathers information on family life, marriage and divorce, pregnancy, infertility, use of contraception, and men's and women's health. The survey results are used by the U.S. Department of Health and Human Services and others to plan health services and health education programs, and to do statistical studies of families, fertility, and health. Years included: 1973, 1976, 1982, 1988, 1995, 2002, 2006-2010; Data use agreement at time of file download:

  15. Resident population in Virginia 1960-2023

    • statista.com
    Updated Feb 1, 2001
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    Statista (2001). Resident population in Virginia 1960-2023 [Dataset]. https://www.statista.com/statistics/206379/resident-population-in-virginia/
    Explore at:
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, Virginia
    Description

    In 2023, about **** million people lived in Virginia. This was an increase from the previous year, when about **** million people lived in the state. In 1960, the resident population of Virginia stood at around **** million people.

  16. V

    Development Tracking

    • data.virginia.gov
    • catalog.data.gov
    • +3more
    Updated Jul 24, 2025
    + more versions
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    Chesapeake City (2025). Development Tracking [Dataset]. https://data.virginia.gov/dataset/development-tracking
    Explore at:
    geojson, csv, zip, kml, html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    City of Chesapeake, VA
    Authors
    Chesapeake City
    Description

    The polygons are generated from the parcel numbers of the applications from the ARC Review Memo twice a month. Development boundaries represent the parcel's configuration during the initial application. The parcel boundary may change during subdivision recordation. The results field will give a general overview of application. Final Approval is the outcome of City Council, Planning Commission and ARC Review. The Final action date will be the date of the Final Action.

  17. V

    VIRGINIA COASTAL RESILIENCE MASTER PLAN - Development of the Study...

    • data.virginia.gov
    • opendata.winchesterva.gov
    pdf
    Updated Sep 26, 2024
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    Virginia Department of Conservation and Recreation (2024). VIRGINIA COASTAL RESILIENCE MASTER PLAN - Development of the Study Conceptual Model [Dataset]. https://data.virginia.gov/dataset/virginia-coastal-resilience-master-plan-development-of-the-study-conceptual-model
    Explore at:
    pdf(946820)Available download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    Virginia Department of Conservation and Recreation
    Area covered
    Virginia
    Description

    Conceptual modeling is an intellectual exercise that identifies study questions and the analytical framework needed to address them. The purpose of the conceptual model is to: • Clarify objectives for the development of the CRMP; • Identify questions to be answered through study analysis and products; • Determine dates when feedback is needed from the TAC and subcommittees in alignment with milestone deliverable dates; • Identify and resolve approaches and metrics for study products; and, • Identify inter-relationships of data inputs and outputs.

    The initial Study Conceptual Model presented in this technical memorandum lays the foundation for aligning the Technical Study Process with the guiding principles of the Framework and desired outcomes from the RFP, and provides a mechanism for stakeholder-driven refinement of desired study outcomes to inform development of the CRMP.

  18. F

    Real Gross Domestic Product: All Industry Total in Virginia

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
    + more versions
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    (2025). Real Gross Domestic Product: All Industry Total in Virginia [Dataset]. https://fred.stlouisfed.org/series/VARGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Gross Domestic Product: All Industry Total in Virginia (VARGSP) from 1997 to 2024 about VA, GSP, real, industry, GDP, and USA.

  19. N

    Northern Virginia Data Center Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 8, 2025
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    Data Insights Market (2025). Northern Virginia Data Center Market Report [Dataset]. https://www.datainsightsmarket.com/reports/northern-virginia-data-center-market-12431
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The size of the Northern Virginia Data Center market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 13.80% during the forecast period. Recent developments include: May 2023: Culpeper County, Virginia, may soon see the building of more than four million square feet of data centers. The Culpeper Town and County Councils have received rezoning proposals allowing the construction of about 17 structures on two campuses on the town's border alongside McDevitt Drive. According to the Culpeper Star-Exponent, the Culpeper County Planning Commission voted 7-1 last week to approve an application to rezone approximately 34.4 acres from RA (Rural Areas) to LI (Light Industrial) over Route 799 (McDevitt Drive) and Route 699 (East Chandler Street) in the StevensburgMagisterial area., April 2023: GI Partners, a renowned private alternative investment group, announced the acquisition of 43915 Devin ShafronDrive in Ashburn, Virginia, as part of its ongoing strategy of acquiring and managing technology-enabled real estate. The complex is on a 98-acre campus maintained by one of the world's premier data center operators. Since its initial construction in 2010, the property has been institutionally maintained and is 100% leased to two creditworthy tenants. The property provides 9 MW of vital power and has the potential to grow in the future. The facility offers redundant electrical and mechanical upgrades and several connectivity possibilities via the neighboring campus.. Key drivers for this market are: Growing Adoption of Cloud Services is expected to flourish the market, Increasing Growth in Wholesale Datacenter Multi-tenant Spaces to propel demand (albeit from a lower base); Increased Emphasis on Compliance with Data Regulations and Cost-Effective Nature of Multi-tenant Facilities to Drive Adoption among SME's. Potential restraints include: Dependence on Regulatory Landscape & Stringent Security Requirements. Notable trends are: Tier 4 is Expected to Hold Significant Share of the Market.

  20. M

    Virginia Beach Metro Area Population | Historical Data | Chart | 1950-2025

    • macrotrends.net
    csv
    Updated Nov 30, 2025
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    MACROTRENDS (2025). Virginia Beach Metro Area Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/23084/virginia-beach/population
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    csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 1, 1950 - Dec 3, 2025
    Area covered
    United States, Virginia Beach
    Description

    Historical dataset of population level and growth rate for the Virginia Beach metro area from 1950 to 2025.

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Statista, U.S. annual GDP growth in Virginia 2000-2023 [Dataset]. https://www.statista.com/statistics/588157/virginia-gdp-growth/
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U.S. annual GDP growth in Virginia 2000-2023

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, the real gross domestic product (GDP) of Virginia increased by roughly 2.9 percent compared to the previous year. 2021 saw the largest growth since 2000 as the Virginia economy began its recovery from the COVID-19 pandemic.

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