The dashboard builds on our continuously updated national data center map by integrating additional context on dedicated tabs including advocacy details, demographics, environmental justice designations, tribal lands, chronic disease rates, the surrounding energy landscape (such as power plants and balancing authorities), and environmental factors like air quality and water resources.
Key Findings
Of the 1,400+ sites included in the tracker, we are tracking 803 projects in the pre-development or construction process, highlighting an ongoing window in which permitting processes, regulatory decisions, and community engagement can still influence development outcomes.
Analysis of advocacy efforts shows that public resistance to data centers is widespread and growing, interventions employ a wide variety of strategies, and efforts are starting to achieve success.
Why Track Data Centers?
Since mid-2025, data center proposals have been popping up across the country at lightning speed. A hyperscale data center is defined by industry as a facility with at least 5,000 computer servers, 10,000 square feet of physical space, and an electric power rating (energy demand or power load) of at least 100 megawatts (MW).
Data center development is increasingly tied to broader public health, environmental, and energy concerns. Since the electricity demands of data centers are so high, these facilities have the potential to perpetuate the operations of legacy polluters, strain local power grids, and drive new fossil fuel infrastructure projects like fracked wells and power plants. This increase in fossil fuel activity means that data centers indirectly contribute to increased greenhouse gas and pollutant emissions that harm public health and our climate. Data centers can also create direct harmful pollution onsite by utilizing diesel generators for backup power, create noise and light pollution, and consume enormous amounts of water for equipment cooling.
Economically, hyperscale data centers harm local communities by increasing utility bills for everyday ratepayers, consuming tax dollars that could be better allocated to community needs, and failing to deliver on economic promises like job creation. A data center employs an average of 27 people once it is operational, which is a very small trade off considering the billions of dollars in subsidies that these facilities are receiving. Many of the jobs actually supported by data center development are indirect jobs linked to the fossil fuel industry, which impose high risks on its employees. For example, truck drivers that haul fracking waste are exposed to unregulated hazardous waste that can lead to cancer and other health problems.
In July 2025, FracTracker Alliance released the first iteration of our National Data Centers Tracker, which built on prior work tracking cryptocurrency operations. Our tracker is the first open-access, facility-level dataset and interactive mapping tool that documents the rapid buildout of AI and data center infrastructure across the United States. It can be downloaded, shared, and used by anyone for non-commercial purposes (please see our terms of service). This transparency is essential for accountability and advocacy. Data center expansion is outpacing both regulation and public awareness, and has often bypassed meaningful public input. Without transparent, facility-level information, communities cannot effectively advocate for local protections and researchers and decision makers cannot assess the potential impacts of existing and proposed data centers.
We have been updating the tracker daily and crowdsourcing data to gather information from advocates and other interested parties. Each announcement prompts a mini-research project to gather key information. Our online documentation presents a history of relevant news and developments as we follow each proposal through different stages of development. We focus on proposed sites and projects under construction, and we are working to incorporate smaller data centers already in operation.
What’s New
The National Data Centers Tracker is now set up as a dashboard with dedicated tabs. Each tab has data layers that can be toggled on and off using the left layer menu.
Map Tab
Map Tab
This section shows the same data as our original map, with notable expansions.
- Critical information is maintained such as address and geographic coordinates (latitude and longitude), the name of the operating company and/or tenant, reported energy demand in megawatts (MW), estimated square footage and acreage of the facilities, power sourcing (dedicated power plants of various types or grid-connected), and cooling method and type (air, water, closed loop, open loop, etc).
- Data center pins are colored according to status including:
- Proposed – Anything planned, announced, in permitting, or awaiting approval.
- Approved/Permitted/Under Construction – Actively being built, site prep underway, or construction start date confirmed.
- Expanding – Existing data center or related computing center that is scaling up operations.
- Operating – Fully built and operational.
- Suspended – Temporarily halted, on hold, or delayed without being cancelled, including projects that the developer plans to continue pursuing despite being blocked from one location.
- Cancelled – Plans dropped, defeated, denied, rescinded, rejected, or explicitly blocked by authorities/community.
- Data center pins varied by size depending on the MW power demand of the facility:
- Small pins – 0-99 MW
- Medium pins – 100-1,000 MW (hyperscale)
- Large pins – 1 gigawatt (GW) + (mega campus)
- *NEW* We’ve expanded our filters to include state, county, status, and hyperscale size (100+ MW).
- *NEW* In the right column you can quickly see the total number of projects, MW, and square footage for different categories of data centers. These totals update depending on zoom level and filter selection, and not all data centers have MW or square footage estimates to contribute to these totals.
- *NEW* Use the search bar at the top of the map to quickly find a location or data center of interest.
- *NEW* Advocacy-focused fields are now available in the map pop-ups including petitions, community group webpages, site fight leaders, opportunities for public engagement, and examples of community victories, making it easier for residents to connect with local efforts.
- *NEW* We are beginning to track whether local governments and officials have signed nondisclosure agreements (NDAs) associated with data center proposals, if there is planned backup generator use, and whether the data center will be co-located with a behind-the-meter dedicated power plant.
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Data centers are visualized according to size and status.
Looking at the data, we’ve started to see general trends emerge. Looking at siting patterns, we found that Alaska, Rhode Island, and Vermont are the only states in the U.S. that do not currently have data centers or data center proposals. Virginia has emerged as the dominant hub by a large margin (452), followed by Georgia (174), Texas (167), and Pennsylvania (92). Across these leading states, a substantial portion of projects remain in early stages of development. Virginia alone has 215 proposed sites, while Texas, Georgia, and Pennsylvania report 75, 69, and 41 proposed projects, respectively.
Northern Virginia has the highest density of wide-area fiber optic networking in the world, connecting it to all major U.S. markets. Loudoun County, VA (nicknamed “Data Center Alley”) is the epicenter, with more than half of global internet traffic created or passing through this area. Georgia, especially Atlanta, has become a data center hotspot in part due to generous subsidies and incentives, such as tax breaks, offered to attract developers. Texas and Pennsylvania lead the country in fracked gas production. New fracked gas infrastructure goes hand in hand with many data center proposals in these regions.
Table 1. Data Center Prevalence by State
Last updated 3/26/2026
| State | Total | Proposed | Approved/Permitted/ Under construction | Expanding | Operating | Suspended | Cancelled |
| Virginia | 452 | 215 | 11 | 33 | 181 | 7 | 5 |
| Georgia | 174 | 69 | 11 | 1 | 86 | 5 | 2 |
| Texas | 167 | 75 | 26 | 4 | 60 | 2 | |
| Pennsylvania | 92 | 40 | 2 | 43 | 4 | 3 | |
| Ohio | 52 | 28 | 4 | 16 | 3 | 1 | |
| Indiana | 35 | 13 | 4 | 7 | 7 | 4 | |
| New York | 32 | 12 | 1 | 16 | 1 | 2 | |
| Illinois | 30 | 16 | 6 | 4 | 1 | 3 | |
| Arizona | 28 | 9 | 8 | 9 | 2 | ||
| North Carolina | 25 | 14 | 1 | 6 | 1 | 3 | |
| California | 24 | 11 | 3 | 1 | 8 | 1 | |
| Michigan | 20 | 9 | 3 | 1 | 1 | 4 | 2 |
| Missouri | 19 | 12 | 2 | 4 | 1 | ||
| Washington | 18 | 1 | 17 | ||||
| Iowa | 17 | 7 | 4 | 1 | 5 | ||
| Oregon | 17 | 4 | 1 | 2 | 9 | 1 | |
| Wisconsin | 17 | 7 | 3 | 1 | 2 | 4 | |
| Nevada | 14 | 7 | 3 | 4 | |||
| Maryland | 13 | 8 | 1 | 3 | 1 | ||
| Kentucky | 11 | 3 | 2 | 2 | 2 | 2 | |
| Oklahoma | 11 | 3 | 3 | 5 | |||
| Minnesota | 10 | 7 | 1 | 2 | |||
| New Jersey | 10 | 4 | 1 | 3 | 2 | ||
| Tennessee | 10 | 4 | 1 | 5 | |||
| Alabama | 8 | 3 | 1 | 4 | |||
| Nebraska | 8 | 1 | 1 | 6 | |||
| New Mexico | 8 | 2 | 1 | 5 | |||
| South Carolina | 8 | 4 | 1 | 2 | 1 | ||
| West Virginia | 8 | 6 | 2 | ||||
| Colorado | 7 | 2 | 1 | 4 | |||
| Florida | 7 | 4 | 2 | 1 | |||
| Louisiana | 7 | 4 | 1 | 1 | 1 | ||
| Mississippi | 7 | 4 | 2 | 1 | |||
| Utah | 7 | 5 | 1 | 1 | |||
| Arkansas | 6 | 3 | 1 | 2 | |||
| North Dakota | 6 | 1 | 1 | 4 | |||
| Kansas | 5 | 4 | 1 | ||||
| Massachusetts | 5 | 2 | 1 | 2 | |||
| Wyoming | 4 | 2 | 2 | ||||
| Connecticut | 3 | 3 | |||||
| Maine | 3 | 2 | 1 | ||||
| Montana | 3 | 3 | |||||
| South Dakota | 3 | 2 | 1 | ||||
| Delaware | 1 | 1 | |||||
| Hawaii | 1 | 1 | |||||
| Idaho | 1 | 1 | |||||
| New Hampshire | 1 | 1 | |||||
| Alaska | 0 | ||||||
| Rhode Island | 0 | ||||||
| Vermont | 0 | ||||||
| Total | 1415 | 636 | 115 | 52 | 527 | 45 | 40 |
Analysis of facility size reveals a clear shift toward large-scale, energy-intensive development that will have substantial implications for regional energy systems and infrastructure planning. Among sites with available MW demand data, the majority fall within the hyperscale range (100-999 MW), with a substantial number of projects exceeding 1,000 MW (1 GW) at the “mega campus” scale. Together, these larger facilities account for over 60% of sites with known energy demand in our database. However, the majority of the data centers in our full database have unknown estimated power demand (59%). Data center operators and developers are secretive about their projects, and this lack of transparency has led to many missing fields in our database. Without this basic transparency, many communities and local governments are asked to make decisions without fully understanding the effects the project might have if built.
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There has been a shift towards hyperscale development, but the lack of transparency remains a serious problem in data center research.
Resistance Tab
Resistance Tab
This tab shows where communities are pushing back against data center proposals, and where we’re already seeing victories. Community organizing can directly shape infrastructure outcomes. Data center development is not inevitable, and community success stories can serve as examples of proactive intervention strategies that other advocates can learn from. Community resistance is widespread and growing, indicating a broader national pattern rather than a series of local anomalies.
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The Resistance tab makes it easy to see where community pushback has led to victories.
Our dataset documents over 150 instances of resistance to data center development across the U.S., including 40 highlighted project victories. In this context, resistance is defined broadly to capture the full range of community and policy responses to proposed infrastructure. This includes grassroots efforts such as petitions, advocacy campaigns, and local organizing networks, as well as more formal interventions like temporary moratoriums, zoning changes, and new regulatory requirements. Victories encompass concrete project outcomes, including denied permits, withdrawn proposals, and fully canceled developments. Taken together, these categories show how resistance operates at multiple levels and stages of the development process.
Several recent cases illustrate the diversity and effectiveness of these efforts. The zoning process can be particularly relevant in areas that have zoning restrictions. In Goodyear, Arizona, Tract withdrew its proposed $14 billion data center project in May 2024 following sustained opposition during the rezoning process. Residents raised concerns about building height, noise, and strain on local resources, ultimately applying enough pressure to influence local decision-making and lead to the project’s abandonment. In Peculiar, Missouri, a $1.5 billion proposal by Diode Ventures was blocked after organized opposition from the group Don’t Dump Data on Peculiar. Community concerns about visual impacts, noise, and property values prompted the city to amend its zoning ordinance. By October 2024, data centers were removed as a permitted land use altogether in Peculiar, creating a lasting policy barrier beyond a single project. In Montour County, Pennsylvania, commissioners rejected a rezoning request for more than 800 acres of agricultural land tied to a Talen Energy and Amazon data center proposal in February 2026. This decision followed strong public opposition, including organizing by Concerned Citizens of Montour County, who raised concerns about environmental impacts and the industrialization of rural farmland.
In Cumberland County, Pennsylvania, a proposed data center project was halted when a landowner declined a $15 million purchase offer and instead placed the land into a conservation easement. While not driven by a formal advocacy campaign, this case reflects broader regional resistance to development pressures and a prioritization of land conservation. In Virginia, the $24.7 billion Prince William Digital Gateway project has faced significant delays due to sustained community opposition and legal challenges led by groups such as Protect Prince William County and local homeowners’ associations. Ongoing litigation has halted construction while appeals proceed, demonstrating how coordinated legal strategies can slow or reshape large-scale projects.
As data center development continues to accelerate, these patterns suggest that community engagement and local governance will play an increasingly central role in determining where and how data centers are built.
Demographics Tab
Demographics Tab
This tab allows users to explore the demographics of communities living near data center sites or proposals. It is also possible to cross reference our data center data with designated environmental justice areas and regions with high health burdens. The CDC Environmental Justice Index (EJI) data classifies census block groups according to social vulnerability, health vulnerability, and environmental burden, with darker red areas indicating higher environmental justice concerns. CDC PLACES data shows chronic disease rates, cancer rates, asthma rates, and areas with low health insurance coverage, which can be viewed at the county, census tract, or “place” level (such as cities). Census Bureau Population Characteristics shows baseline population characteristics at various geographic divisions, such as race and age. In some regions data center development is encroaching on Tribal Nations and Indigenous communities, so we’ve included the locations of Federally Recognized Tribal Lands. Our hope is that by visualizing the demographics surrounding a data center proposal, communities and decision-makers can better understand the needs and vulnerabilities of the people that will be directly affected by the facility.
Researchers are beginning to examine whether data centers are disproportionately sited in environmental justice areas. Environmental justice refers to the equitable distribution of environmental benefits and burdens. This concept emerged in response to the disproportionate environmental hazards faced by low-income communities and communities of color, which are often situated near hazardous waste sites, industrial facilities, and polluted areas.The EJI data presented here can help community members show that adding a new polluter to their neighborhoods may contribute to cumulative legacy pollution and worsen existing public health problems. One example of a data center that is located in an environmental justice community is xAI’s Colossus 2 in Memphis, which operates unpermitted gas turbines for power and releases smog, NOx, and formaldehyde into the surrounding predominantly Black community.
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xAI’s Colossus 2 contributes pollution to a predominantly Black community with pre-existing environmental justice concerns in Memphis, TN.
Power Grid Tab
Power Grid Tab
This tab allows users to explore the energy infrastructure near data center sites. New data center proposals are, more often than not, reported as hyperscale or near-hyperscale in their energy demands. This represents a staggering amount of additional energy that will either strain the existing power grid or be met by new power generators that are run on dirty fossil fuels like fracked gas, leaving residents at risk for increased pollution and utility bill increases. For comparison, the electricity needs of a 100 MW data center is roughly equivalent to the needs of approximately 83,429 U.S. households.
The Energy Information Administration monitors existing and proposed power generating units at electric power plants with 1 MW or greater of combined nameplate capacity. We’ve used this data to create different subsets of generators that can be used to show the power generating capacity and potential of an area. Operating Power Plants and Planned Power Generators show nearby existing capacity and energy sources that a new data center might use. Peaking Power Generators show generators that generally run only when there is a high power demand. There is a possibility that these peaking generators could be upgraded for full-time use to meet data center demand. As with the first version of the tracker, Retired Generators and Generators Retiring by 2036 shows former and soon-to-be retired power generator sites with a capacity of at least 10 MW. Because these power generator sites were grid-tied and there are financial incentives for brownfield development, they may be desirable for data center development in the future. In regions like southwestern Pennsylvania, we are seeing multiple data center proposals on brownfield sites left behind by shuttered power plants, including Homer City Energy Campus, Springdale Data Center, and Shippingport Data Center/Project Phoenix.
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The Homer City Energy Campus in Southwestern PA is proposed on the site of a former coal plant. A new 4.5 GW gas power plant is proposed onsite to power the data center.
A variety of other layers are also included to help users understand how power is generated in their community and how data centers might change that power generation. U.S. Power Transmission Lines show how the power grid is interconnected. Control Areas are controlled by balancing authorities, who are responsible for monitoring and balancing the generation, load, and transmission of electric power within their region. Finally, U.S. Electric Utility Service Areas show the coverage areas for electric utility providers. Control Area and Utility Service Area control can help predict which customers a new data center might contract for power and which customers might be at risk of rate increases.
Environment Tab
Environment Tab
This tab can be used to better understand the environmental context of data center proposals, including serious land use, air quality, and water availability concerns. In order to help users better understand potential air quality consequences, we’ve included EJScreen Toxic Releases to the Air (datasets no longer available online federally, but accessible here). This data was derived from the Toxics Release Inventory (TRI), an EPA program that tracked the release of 770 different toxic chemicals at a facility level. We also included Wetlands and Water Sources from the U.S. Fish and Wildlife Service’s National Wetlands Inventory to allow users to explore an area’s water resources and sensitive ecosystems.
The environment around a data center matters. Hyperscale facilities can consume up to 5 million gallons of water per day to cool their servers, meaning a single data center can use as much water as a city of 10,000-50,000 people. Despite this need for an enormous amount of water, many data centers are proposed in arid regions such as Arizona and New Mexico. In the desert, low humidity allows maximum evaporative cooling for servers and equipment, making these regions desirable for data center development. For projects like Project Jupiter in Doña Ana County in New Mexico, the water needs of data centers may directly compete with the drinking water needs of local communities.
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Despite an initial demand of 2.5 million gallons per building and ongoing water needs averaging 20,000 gallons per day, Project Jupiter in New Mexico is proposed in the desert.
Methods
FracTracker’s U.S. Data Center Tracker dataset is compiled from a variety of sources by FracTracker staff to provide facility-level insights into the expansion of data center infrastructure across the United States. Data are validated through cross-referencing multiple sources when available, maintaining source documentation for traceability, and flagging uncertain entries for follow-up. While the dataset represents one of the most comprehensive efforts to document both data center development and associated resistance, it is subject to limitations, including uneven data availability and potential underreporting. Our project is a constant work in progress and we cannot guarantee its accuracy or completeness.
Sources include:
- News and trade press reporting
- Public records such as zoning documents, permits, planning documents, government databases and regulatory materials
- Freedom of Information Act (FOIA) responses
- Crowdsourced submissions from advocacy organizations and community members
- Collaborator datasets including Piedmont Environmental Council and Science for Georgia
Resistance data are systematically identified to capture both community- and policy-level responses to development. These include advocacy campaigns, petition platforms, local organizing efforts, and formal government actions, as documented in municipal records, meeting minutes, ordinances, and media coverage. Each instance of resistance is, where possible, linked to a specific site or jurisdiction. Victories refer to cases in which proposed developments were halted, withdrawn, or denied approval. Moratoriums are temporary policy measures that pause development to allow for further assessment or regulatory planning. Ordinances or regulatory actions represent longer-term structural changes that establish new rules governing data center siting and operation. Moratoriums and ordinances will be added to the map soon.
We will continue to update our tracker. Please reach out to us at jones@fractracker.org with comments or suggestions, or fill out our crowdsourcing form to submit information about a data center that isn’t on our map!
Conclusion
We have reframed our U.S. Data Centers Tracker as an advocacy focused dashboard. Data from numerous sources are presented on organized tabs to provide transparent, real-time visibility into projects that have major implications for energy demand, climate goals, and community health. Across the United States, residents, local organizations, and municipal governments are actively shaping development outcomes through community organizing and policy intervention. Data center development is not inevitable, and the actionable information presented in the U.S. Data Centers Tracker can give advocates the tools they need to understand and communicate the risks and harms imposed by the data center expansion boom.
Take Action
- Submit information about a data center we are missing
- Connect with other advocates on the Halt the Harm Network
- Share the tool with community and environmental groups working on clean energy, zoning, and public health.
Where to Learn More
- Tracking Data Centers: Energy Demand, Pollution, and Public Impact
- Howell Township Data Center Win: $1B Project Withdrawn After Community Meeting on Energy and Infrastructure Impacts
- Proof-of-Work Cryptocurrency Mining: Environmental BOMB, Not Balm, for the Planet
- Data Centers & Energy Demand – The Piedmont Environmental Council
- Data Centers: Transparency Makes Good Neighbors – Science for Georgia
- North Star Data Center Policy Toolkit
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