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The Facility Registry Service (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the FRS Query tool. This layer provides location and attribute information for Facilities regulated under the Superfund Enterprise Management System (SEMS). SEMS integrates multiple legacy systems (e.g. CERCLIS, ICTS, SDMS) into a comprehensive inventory of active and archived hazardous waste sites evaluated by the Superfund program. It contains sites that are either proposed to be, or are on, the National Priorities List (NPL) as well as sites that are in the screening and assessment phase for possible inclusion in the NPL.
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Learn more about Market Research Intellect's Enterprise Data Visualization Platform Market Report, valued at USD 3.5 billion in 2024, and set to grow to USD 8.2 billion by 2033 with a CAGR of 10.3% (2026-2033).
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Discover the latest insights from Market Research Intellect's Enterprise Imaging Platform Market Report, valued at USD 5.12 billion in 2024, with significant growth projected to USD 12.45 billion by 2033 at a CAGR of 10.25% (2026-2033).
According to our latest research, the global Geo-Analytics SaaS Platform market size reached USD 5.6 billion in 2024, demonstrating robust growth driven by the increasing demand for spatial data analytics across industries. The market is projected to expand at a CAGR of 18.1% from 2025 to 2033, reaching a forecasted value of USD 28.4 billion by 2033. This remarkable growth trajectory is primarily fueled by the rapid adoption of cloud-based geospatial analytics solutions, the proliferation of IoT devices, and the growing emphasis on real-time location intelligence for business decision-making.
One of the primary growth factors propelling the Geo-Analytics SaaS Platform market is the surging need for advanced location intelligence across various sectors. Organizations are increasingly leveraging geo-analytics platforms to gain actionable insights from spatial data, enabling them to optimize operations, enhance customer experiences, and drive competitive advantage. The integration of AI and machine learning algorithms within these platforms has further amplified their analytical capabilities, allowing for predictive analytics and more accurate forecasting. As businesses continue to embrace digital transformation, the deployment of geo-analytics solutions has become essential for informed decision-making and strategic planning.
Another significant driver is the rising adoption of cloud-based deployment models. Cloud-based geo-analytics SaaS platforms offer unparalleled scalability, flexibility, and cost-efficiency, making them highly attractive to organizations of all sizes. These platforms eliminate the need for extensive on-premises infrastructure, reduce maintenance costs, and provide seamless access to real-time geospatial data from anywhere in the world. The shift towards cloud computing has also facilitated easier integration with other enterprise applications, such as ERP and CRM systems, further expanding the utility and adoption of geo-analytics solutions across industries.
The expanding application landscape of geo-analytics is also contributing to market growth. Industries such as transportation, logistics, retail, BFSI, healthcare, and government are increasingly utilizing geo-analytics for a wide range of use cases, including asset tracking, risk management, supply chain optimization, and urban planning. The ability to visualize and analyze spatial data in real-time has become a critical enabler for operational efficiency and strategic decision-making. Moreover, the ongoing advancements in geospatial data collection technologies, such as drones, satellites, and IoT sensors, are providing richer data sets for analysis, further enhancing the value proposition of geo-analytics SaaS platforms.
Regionally, North America continues to lead the global Geo-Analytics SaaS Platform market, accounting for the largest revenue share in 2024. The region's dominance is attributed to the high concentration of technology-driven enterprises, advanced IT infrastructure, and significant investments in smart city initiatives. Europe and Asia Pacific are also witnessing rapid growth, driven by increasing digitalization efforts, government initiatives for urban development, and the rising adoption of location-based services. Emerging markets in Latin America and the Middle East & Africa are gradually catching up, supported by growing awareness and investments in geospatial technologies.
The Component segment of the Geo-Analytics SaaS Platform market is broadly categorized into Software and Services. Software solutions form the backbone of geo-analytics platforms, offering a comprehensive suite of tools for data visualization, spatial analysis, and predictive modeling. These software solutions are continuously evolving, with vendors integrating advanced features such as artificial intelligence, machine learning, and real-time analytics to enhance functionality. The growin
Current data from 2023-24 school year. Dataset to be updated annually.Data sources:Public Schools (includes charter and Adult): CDE - https://www.cde.ca.gov/schooldirectory/report?rid=dl1&tp=txtPublic Schools enrollment and enhanced location: CDE - https://lacounty.maps.arcgis.com/home/item.html?id=61a4260e68b14a5ab91daf27d4415e7dPrivate Schools type and location: CDE - https://www.cde.ca.gov/schooldirectory/, query for private schoolsPrivate Schools enrollment and contact: CDE - https://www.cde.ca.gov/ds/si/ps/documents/privateschooldata2324.xlsxColleges and Universities: HIFLD - https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::colleges-and-universities/aboutPublic schools use location from the CDE AGOL Layer where available. This source assigns X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy, often geocoding to parcel.Field Descriptions:Category1: Always "Education"Category2: School Level Category3: School Type Organization: School District for primary and secondary schools; data maintainer otherwise Source: Source of data (see source links above) Source ID: CDS Code for primary and secondary schools; IPEDS ID for colleges and universities Source Date: Date listed in source Enrollment: School EnrollmentLabel Class: School classification for symbology (matches either Category2 or Category3)Last Update: Date last updated by LA County Enterprise GIS
This is a polygonal dataset representing the U.S. Coast Guard Captain of the Port Zones throughout the United States. This data was developed by USCG - OSC Enterprise GIS based on Title 33, Code of Federal Regulations Part 3.
Geo Enterprise Co Limited Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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According to our latest research, the global Geo-Analytics SaaS Platform market size reached USD 4.8 billion in 2024, reflecting robust adoption across industries. The market is projected to expand at a CAGR of 17.2% from 2025 to 2033, reaching an estimated USD 19.1 billion by 2033. This growth is primarily driven by the increasing demand for location-based intelligence, the proliferation of IoT devices, and the rising need for advanced analytics to optimize business operations in real time.
The Geo-Analytics SaaS Platform market is experiencing significant momentum due to the exponential growth in spatial data generated by connected devices and sensors. Organizations are increasingly recognizing the value of integrating geospatial analytics into their decision-making processes to gain actionable insights and enhance operational efficiency. The integration of artificial intelligence and machine learning within geo-analytics platforms is further augmenting their analytical capabilities, enabling predictive modeling and real-time visualization. This, in turn, is driving adoption across sectors such as transportation, logistics, retail, and urban planning, where location intelligence is becoming indispensable for strategic planning and resource allocation.
Another compelling growth factor for the Geo-Analytics SaaS Platform market is the shift toward cloud-based solutions. Cloud deployment offers unparalleled scalability, flexibility, and cost-effectiveness, making geo-analytics accessible to organizations of all sizes. The ability to aggregate and analyze vast datasets from multiple sources in real time is a game-changer for industries like BFSI, healthcare, and energy, which rely on timely and accurate data for risk management and compliance. Furthermore, the rise of smart cities and the increasing focus on sustainability initiatives are fueling demand for geo-analytics platforms that can support urban infrastructure management, environmental monitoring, and disaster response.
The emergence of digital transformation initiatives and the growing emphasis on customer-centric business models are also propelling the Geo-Analytics SaaS Platform market forward. Retailers, for instance, are leveraging geo-analytics to optimize store locations, personalize marketing campaigns, and enhance supply chain efficiency. Similarly, the transportation and logistics sector is harnessing these platforms to improve route planning, asset tracking, and fleet management. As organizations strive to stay competitive in a rapidly evolving landscape, the ability to derive actionable insights from spatial data is becoming a key differentiator, further accelerating market growth.
From a regional perspective, North America currently dominates the Geo-Analytics SaaS Platform market, accounting for the largest revenue share in 2024. This is attributed to the presence of leading technology companies, high adoption rates of advanced analytics, and significant investments in smart infrastructure. However, the Asia Pacific region is expected to witness the fastest growth over the forecast period, driven by rapid urbanization, expanding digital ecosystems, and increasing government initiatives to promote smart city projects. Europe, Latin America, and the Middle East & Africa are also poised for steady growth, supported by rising awareness of the benefits of geo-analytics and the expansion of cloud computing infrastructure.
The Geo-Analytics SaaS Platform market by component is segmented into software and services, each playing a pivotal role in the ecosystem. The software segment holds the largest market share, driven by the continuous evolution of geo-analytics platforms that offer advanced features such as real-time data visualization, spatial modeling, and predictive analytics. These platforms are designed to integrate seamlessly with existing enterprise systems, enabling organizations to harness the power of location intelligence without significant infrastructure investments. The growing adoption of AI-powered analytics and the emphasis on user-friendly interfaces are further enhancing the appeal of geo-analytics software solutions, making them indispensable tools for data-driven decision-making.
The services segment, encompassing consulting, implementation, and support services, is witnessing robust growth as organizations see
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The Forest Inventory and Analysis (FIA) research program has been in existence since mandated by Congress in 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation's forest land. Before 1999, all inventories were conducted on a periodic basis. The passage of the 1998 Farm Bill requires FIA to collect data annually on plots within each State. This kind of up-to-date information is essential to frame realistic forest policies and programs. Summary reports for individual States are published but the Forest Service also provides data collected in each inventory to those interested in further analysis. Data is distributed via the FIA DataMart in a standard format. This standard format, referred to as the Forest Inventory and Analysis Database (FIADB) structure, was developed to provide users with as much data as possible in a consistent manner among States. A number of inventories conducted prior to the implementation of the annual inventory are available in the FIADB. However, various data attributes may be empty or the items may have been collected or computed differently. Annual inventories use a common plot design and common data collection procedures nationwide, resulting in greater consistency among FIA work units than earlier inventories. Links to field collection manuals and the FIADB user's manual are provided in the FIA DataMart.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService FIA Datamart ArcGIS Hub Dataset USFS-flavored ISO-19139 metadata For complete information, please visit https://data.gov.
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Uncover Market Research Intellect's latest Traditional Enterprise Reporting Platforms Market Report, valued at USD 5.2 billion in 2024, expected to rise to USD 8.4 billion by 2033 at a CAGR of 7.0% from 2026 to 2033.
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MLOps Market size was valued at USD 1,902.50 Million in 2023 and is projected to reach USD 23,945.95 Million by 2030. The Market is projected to grow at a CAGR of 37.22% from 2024 to 2030.
Global MLOps Market Overview
In the dynamic landscape of machine learning (ML), where teams of data scientists, engineers, and operations professionals collaborate to bring models from development to production, the standardization of ML processes plays a pivotal role. This trend towards standardization not only enhances teamwork but also serves as a market driver for the MLOps sector.
Standardization ensures a consistent approach to ML workflows, reducing the risk of errors and enhancing repeatability. This is especially critical in scenarios where multiple team members are involved in different stages of the ML lifecycle. For instance, consistent version control practices across data science and IT operations teams can prevent issues during model deployment. Reproducibility is a fundamental aspect of scientific research, and it holds true in ML as well. Standardizing processes, including data preprocessing, model training, and evaluation, allows teams to reproduce results reliably. This is essential for validating model performance, conducting experiments, and facilitating collaboration between team members.
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Get key insights from Market Research Intellect's Enterprise Communications Platform As A Service (CPaaS) Market Report, valued at USD 12.3 billion in 2024, and forecast to grow to USD 35.1 billion by 2033, with a CAGR of 15.5% (2026-2033).
This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA); National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.
The Oregon Department of Administrative Services Geospatial Enterprise Office (DAS-GEO) contracted with Quantum Spatial, Inc. (QSI) in June 2019 to collect Light Detection and Ranging (LiDAR) data for the 2019 DAS-GEO Gilchrist LiDAR study area. This report summarizes the data collection and processing of the Gilchrist study area. A total of 192,686 acres of eight pulses per square meter (PPSM)...
This layer may be used for high level understanding of potential facilities with hazardous materials. The information in the EPA Facility Registry Service may be used to track sites, facilities, or areas of environmental interest. This is a view layer that references the original, but is symbolized more clearly and includes labels. ZOOM IN. THIS LAYER IS NOT A SUBSTITUTE for Tier II Facility data, that information should be sought at the State Level from contacts found here https://www.epa.gov/epcra/state-tier-ii-reporting-requirements-and-proceduresOriginal Layer https://www.arcgis.com/home/item.html?id=cdff193a3e3743a5bc770e2743f215b3This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites Air Facility System (AFS) : stationary sources of air pollutionICIS-AIR (AIR) : stationary sources of air pollutionBureau of Indian Affairs (BIA) : schools data on Indian landBase Realignment and Closure (BRAC) facilitiesClean Air Markets Division Business System (CAMDBS) : market-based air pollution control programsComprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sitesIntegrated Compliance Information System (ICIS) : integrated enforcement and compliance informationNational Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA)National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permitsRadiation Information Database (RADINFO) : radiation and radioactivity facilitiesRACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirementsResource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous wasteToxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicalsEmission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emittersCountermeasure (SPCC) and facility response plan (FRP) subject facilitiesElectronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emittersEmissions and; Generation Resource Integrated Database (EGRID) : power plantsThe Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.
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Market OverviewThe size of the Geomarketing Market was valued at USD 2.03 billion in 2023 and is projected to reach USD 5.28 billion by 2032, with an expected CAGR of 14.64% during the forecast period. Geomarketing leverages location-based data to enhance marketing strategies by targeting customers based on their geographic location and behaviors. By using technologies like GPS, Wi-Fi, and mobile devices, businesses can gather real-time insights into consumer movements, preferences, and purchase patterns. This enables companies to deliver personalized and contextually relevant marketing messages, improving customer engagement and conversion rates. Key applications of geomarketing include location-based advertising, proximity marketing, and store optimization. Retailers use geomarketing to attract nearby customers with tailored offers, while service providers optimize resource allocation based on geographic demand. The integration of big data and artificial intelligence enhances the precision of geomarketing campaigns, allowing businesses to predict customer behavior and adapt strategies accordingly.Segmentation and TrendsThe geomarketing market is segmented based on components (software, services), location-tracking technology (GPS, Bluetooth, Wi-Fi, iBeacon), consumer location (indoor, outdoor), deployment mode (cloud, on-premises), and organization size (large enterprises, small and medium-sized enterprises). Key trends shaping the market include the adoption of cloud-based solutions, the integration of artificial intelligence and machine learning into geomarketing platforms, and the growing use of geospatial data for location-based decision-making. Major players operating in the market include Oracle Corporation, Adobe Inc., IBM Corporation, Google LLC, and Microsoft Corporation. Recent developments include: The October edition of the Microsoft Advertising product roundup highlights several key updates, including significant enhancements to Audience Ads. These updates include expanded targeting capabilities, such as Maximise Conversions and Target CPA, along with predictive targeting to reach relevant audiences more effectively. Microsoft Advertising's Performance Max open beta is highlighted as an opportunity for advertisers to test predictive solutions and automated workflows for their campaigns., Meraki Go introduces a free QR code generator for small businesses, offering customization and security backed by Cisco. The newsletter highlights 8 ways QR codes can enhance marketing efforts. Additionally, it emphasizes the importance of WiFi 6 for small businesses to support the increasing number of connected devices., IBM Watsonx empowers businesses with AI-driven geo-marketing data. It is a cutting-edge enterprise-focused artificial intelligence and data platform. This platform is crucial for geomarketing purposes as it enables businesses to leverage AI-driven insights and models to enhance customer targeting, personalize marketing strategies, and optimize location-based campaigns for better results.. Key drivers for this market are: The widespread use of smartphones with GPS capabilities enables businesses to gather real-time location data, enhancing the effectiveness of geomarketing campaigns.. Potential restraints include: The collection and use of location data raise significant privacy issues, with regulations like GDPR and CCPA imposing strict compliance requirements. Notable trends are: AI-driven analytics are being used to predict consumer behavior and optimize location-based campaigns for better outcomes.
The mobile map market share is expected to increase by USD 6.73 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 18.41%. This mobile map market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. The mobile map market report also offers information on several market vendors, including Alibaba Group Holding Ltd., Alphabet Inc., Apple Inc., CE Info. Pvt. Ltd., Environmental Systems Research Institute Inc., HERE Global BV, Microsoft Corp., NavInfo Co. Ltd., TomTom International BV, and Verizon Communications Inc. among others. Furthermore, this report extensively covers mobile map market segmentation by application (outdoor mobile map and indoor mobile map), end-user (automotive navigation, mobile and internet, and public sector and enterprise), and geography (APAC, North America, Europe, South America, and MEA).
What will the Mobile Map Market Size be During the Forecast Period?
Download the Free Report Sample to Unlock the Mobile Map Market Size for the Forecast Period and Other Important Statistics
Mobile Map Market: Key Drivers, Trends, and Challenges
Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The increasing adoption of technologically advanced mobile devices is notably driving the mobile map market growth, although factors such as threat from open-source platform may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the mobile map industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Mobile Map Market Driver
The increasing adoption of technologically advanced mobile devices is one of the primary factors driving the mobile map market growth. The growing penetration of advanced mobile devices has increased the use of location-based services (LBS). To support this, mobile device manufacturers are introducing new devices that can integrate location-based applications such as GPS-enabled applications. In addition, individuals rely on such devices to obtain information such as traffic updates, directions to nearby locations, and real-time information such as weather forecasts. All these GPS-based applications are built on digital maps. Furthermore, the growth in connected devices will drive the demand for mobile maps globally to enable seamless navigation.
Key Mobile Map Market Trend
The development of indigenous mapping systems is one of the major mobile map market trends. This trend is growing significantly in Brazil, Russia, China, and India. Governments are encouraging regional mobile map makers to develop mobile map solutions that are country-specific. This trend is further supported by advanced mapping technology, which can develop accurate 3D digital maps.
Key Mobile Map Market Challenge
The growing popularity of open-source solutions has an adverse effect on the net sales of commercial mobile map solutions. The inflated cost of mobile map solutions has increased the demand for open-source mobile map applications in the market, especially in emerging countries such as China and India. These nations consist of many SMEs that require mobile map solutions but do not have sufficient capital to invest in customized mobile map technology. Therefore, open-source mobile map solutions have become a preferred choice among them. Many automobile companies also prefer open-source mobile map solutions in their vehicles. Large companies, as a part of the cost reduction, now prefer using open-source mobile map solutions compared with commercial mobile map solutions.
This mobile map market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.
Who are the Major Mobile Map Market Vendors?
The report analyzes the market’s competitive landscape and offers information on several market vendors, including:
Alibaba Group Holding Ltd.
Alphabet Inc.
Apple Inc.
CE Info. Pvt. Ltd.
Environmental Systems Research Institute Inc.
HERE Global BV
Microsoft Corp.
NavInfo Co. Ltd.
TomTom International BV
Verizon Communications Inc.
This statistical study of the mobile map market encompasses successful business strategies deployed by the key vendors. The mobile mapping market is fragmented and the vendors are deploying growth strategies such as M&A activities to compete in the market.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in
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The Facility Registry Service (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the FRS Query tool. This layer provides location and attribute information for Facilities regulated under the Superfund Enterprise Management System (SEMS). SEMS integrates multiple legacy systems (e.g. CERCLIS, ICTS, SDMS) into a comprehensive inventory of active and archived hazardous waste sites evaluated by the Superfund program. It contains sites that are either proposed to be, or are on, the National Priorities List (NPL) as well as sites that are in the screening and assessment phase for possible inclusion in the NPL.