Northern Virginia Data Center Market is Segmented by Data Center Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Data Center Type(Colocation, Cloud Service Providers (CSPs), Enterprise, Modular, and Edge). The Market Forecasts are Provided in Terms of Value (USD).

About this dataset

Context

The dataset tabulates the Virginia population by year. The dataset can be utilized to understand the population trend of Virginia.

Content

The dataset constitues the following datasets

• Virginia Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

The Medicare Telehealth Trends dataset provides information about people with Medicare who used telehealth services between January 1, 2020 and March 31, 2025. The data were used to generate the Medicare Telehealth Trends Report.

Northern Virginia Data Center Market size was valued at USD 13.9 Billion in 2024 and is expected to reach USD 36.6 Billion by 2032, growing at a CAGR of 12.8% from 2026 to 2032.

Key Market Drivers Robust Power Infrastructure: The robust power infrastructure drives the Northern Virginia data center market, that ensures cost-effective and consistent energy supply. Virginia's industrial energy prices in 2023 averaged 6.81 cents per kilowatt-hour, less than the national average of 7.51 cents, making it excellent for power-intensive enterprises. Dominion Energy's $15 billion investment in system upgrade increases the region's energy capacity.

Growing Data Generation: The growing generation of data is propelling the Northern Virginia data center market, by increasing the need for storage and processing capacity. data volume is expected to reach 181 zettabytes by 2025, up from 64.2 zettabytes in 2020, according to Statista.

This dataset tracks annual total students amount from 1987 to 2023 for Virginia High School

About this dataset

Context

The dataset tabulates the Virginia Beach city population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Virginia Beach city.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Virginia Beach city, VA Population Breakdown by Race
• Virginia Beach city, VA Non-Hispanic Population Breakdown by Race
• Virginia Beach city, VA Hispanic or Latino Population Distribution by Their Ancestries

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/.

About this dataset

Context

The dataset tabulates the Virginia population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Virginia.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Virginia Population Breakdown by Race
• Virginia Non-Hispanic Population Breakdown by Race
• Virginia Hispanic or Latino Population Distribution by Their Ancestries

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/.

This dataset tracks annual total classroom teachers amount from 1988 to 2023 for Virginia High School

This dataset tracks annual median total revenues from 1995 to 2023 for Virginia

The Traffic Volume Trends montly report is a natinal data report that provides quality controlled vehicle miles traveled data for each State for all roadways

About this dataset

Context

The dataset tabulates the Virginia Gardens population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Virginia Gardens.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Virginia Gardens, FL Population Breakdown by Race
• Virginia Gardens, FL Non-Hispanic Population Breakdown by Race
• Virginia Gardens, FL Hispanic or Latino Population Distribution by Their Ancestries

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/.

This dataset tracks annual median total expenditures from 1995 to 2023 for Virginia

This dataset tracks annual total classroom teachers amount from 1991 to 2023 for Virginia School

This document shows trends in the geographic distribution of VA expenditures.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

The following dataset from Virginia Coast Reserve (VCR) contains precipitation measurements in centimeter units and were aggregated to a monthly timescale.

Monthly VMT/12-month VMT average/Cumulative 12-month VMT

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.

Historical Dataset of Virginia Connections Academy is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends

The Medicare COVID-19 Hospitalization Trends dataset contains aggregate information from Medicare Fee-for-Service claims, Medicare Advantage encounter, and Medicare enrollment data. It provides insight around the groups of beneficiaries that were hospitalized at different points during the pandemic.

CMS publicly released the first Preliminary Medicare COVID-19 Snapshot in June 2020 during the early stages of the Public Health Emergency for COVID-19. That report focused on COVID-19 cases and hospitalizations data for Medicare beneficiaries with a COVID-19 diagnosis. Throughout 2020 and 2021, that report was subsequently updated with refreshed data 13 times. Beginning in October 2021, CMS shifted its public COVID-19 reporting away from cumulative case and hospitalization rates to hospitalization trends over time with the release of this report, the Medicare COVID-19 Hospitalization Trends Report.

All prior releases of both the Preliminary Medicare COVID-19 Snapshot and the Medicare COVID-19 Hospitalization Trends Report are available for download in the Medicare COVID-19 Data - Prior Releases file.

This dataset tracks annual diversity score from 1993 to 2023 for Virginia High School vs. Virginia and Bristol City Public Schools