Description: Brief Description:The $1 billion Build Back Better Regional Challenge (PDF) is the marquee of EDA’s American Rescue Plan programs that aims to boost economic recovery from the pandemic and rebuild American communities, including those grappling with decades of disinvestment. Processsing Steps:1. Scraped the winner attributes from the link below2. Copied into an Excel xlsx layer 3. Captured latitude and longitude from google earth using the addresses of the applicants
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: U.S. Economic Development Administration, Build Back Better Regional Challenge (BBBRC)
https://www.eda.gov/funding/programs/american-rescue-plan/build-back-better
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: U.S. Department of Commerce Announces Winners of American Rescue Plan $500 Million Good Jobs Challenge to Expand Employment Opportunities32 Regional Partnerships Receive Once-In-A-Generation Funding from the American Rescue Plan to Develop Training Programs that Support Local Economies and Place an Additional 50,000 Workers in Quality JobsProcessing Steps:1. Manually Scraped the 32 awardees from the link below2. Added all key attributes to an excel sheet3. Converted Excel sheet to feature class using XY table to point tool.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: U.S. Economic Development Administration
https://www.eda.gov/news/press-release/2022/08/03/us-department-commerce-announces-winners-American-rescue-plan-500
https://www.eda.gov/funding/programs/american-rescue-plan/good-jobs-challenge/awardees
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: The Industrial Assessment Center Program advances a clean energy and manufacturing workforce that represents the diversity of America, and a reinvigorated manufacturing base prepared to lead the global clean energy transition. Small- and medium-sized manufacturers may be eligible to receive a no-cost assessment provided by DOE Industrial Assessment Centers (IACs). Teams located at 37 universities around the country conduct the energy assessments to identify opportunities to improve productivity and competitiveness, reduce waste, and save energy. IACs typically identify more than $130,000 in potential annual savings opportunities for every manufacturer assessed, nearly $50,000 of which is implemented during the first year following the assessment. Over 20,000 IAC assessments have been conducted.Processing steps:1. Scraped the locations from source website2. Compiled into a single spreadsheet3. Used Google Earth to capture latitude and longitude in WGS844. Used XY table o point to convert spreadsheet into a feature class
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Department of Energy:Office of Manufacturing and Supply Chains, 2022, Industrial Assessment Centers. Retrieved 2023 from https://www.energy.gov/mesc/locations-industrial-assessment-centers
Description: Many people live very close to one of the Energy Department's 17 National Labs and don't even know it. After checking out our new National Labs map, you won’t be one of these people.The National Labs are charged with developing science and technology to further our nation's energy sector, and conducting research that spurs greater innovation. Whether it’s learning how to harness the power of a star on Earth or using particle accelerators to reveal new subatomic particles, we think that the research and innovation done at these labs is very exciting and important to share with all Americans.Our new map, released today, lets you learn more about each lab throughout the country. Click on an icon to learn more about each one. Some labs are very close to each other, so if you see a number in a circle, click on it to zoom in. Pan and zoom around the map to discover information about the labs and click through to see their websites. We hope this tool will help you understand the labs better.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Department of Energy
https://www.energy.gov/articles/map-explore-national-labs
04/09/2014
For Questions contact:
Maneesh Sharma Maneesh.Sharma@netl.doe.gov
Daniel Amrine Daniel.Amrine@netl.doe.gov
Color: [225, 225, 225, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: bottom Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 6 Font Family: Tahoma Font Style: normal Font Weight: normal Font Decoration: none
Description: Fostering innovation, coast to coast. Manufacturing USA consists of a national network of linked manufacturing institutes. Each has a unique technological concentration, but is also designed to accelerate U.S. advanced manufacturing as a whole.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Manufacturing USA
https://www.manufacturingusa.com/institutes
Questions? Contact:
Maneesh Sharma: maneesh.sharma@netl.doe.gov
Daniel Amrine: daniel.amrine@netl.doe.gov
Description: Focused on helping small and medium-sized manufacturers generate business results and thrive in today's technology-driven economy, the MEP National Network comprises the National Institute of Standards and Technology’s Manufacturing Extension Partnership (NIST MEP), the 51 MEP Centers located in all 50 states and Puerto Rico, the MEP Advisory Board, MEP Center boards, and the Foundation for Manufacturing Excellence, as well as over 1,400 trusted advisors and experts at approximately 450 MEP service locations, providing any U.S. manufacturer with access to resources they need to succeed.call (800) MEP-4MFG.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: National Institute of Standards and Technology(NLST), Manufacturing Extension Partnership(MEP) https://www.nist.gov/mep/centers/map?state=MA&zip%5Bvalue%5D=&zip%5Bsource_configuration%5D%5Borigin_address%5D=
Questions, Contact:
Maneesh Sharma maneesh.sharma@netl.doe.gov
Daniel Amrine daniel.amrine#netl.doe.gov
Description: Our mission at AMCC is to create and strengthen an alliance of communities with regional economic development initiatives underway dedicated to achieving sustainability through economic growth, improved environmental performance, and inclusive well-paid job creation supporting initiatives to create new opportunities and equity within a revitalized American manufacturing base.Processing: AMCC_Regions is a layer by county, all the communities are grouped into counties by AMCC name ( IMCP_AMCC) and Type (AMCC_Type). 2022 Census County Layer was used. These where dissolved into a single polygon for each AMCC for labeling purposes (AMCC_Regions_Dissolved).
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: The American Manufacturing Communities Collaborative (AMCC), Investing in Manufacturing Communities Partnership (IMCP) https://americanmcc.org/partner-communities/
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: The U.S. Environmental Protection Agency is announcing the selection of 17 selectees for the Environmental Justice Thriving Communities Technical Assistance Centers Program (EJ TCTACs or Program.) Seventeen organizations and their partners have been selected to receive a total of approximately $177 million to establish a network of technical assistance centers (Centers) across the nation providing direct technical assistance, training, and capacity-building support to communities and organizations to advance environmental and energy justice priorities. With this critical investment, the Centers will provide training and other assistance to build capacity of local grassroots nonprofit organizations, tribal governments, and other similar community stakeholders in navigating federal, state, and private grant application systems such as Grants.gov and SAM.gov, writing stronger grant proposals, and effectively managing grant funding. In addition, these Centers will provide guidance on community engagement, meeting facilitation, and translation and interpretation services for limited English-speaking participants, thus removing barriers and improving accessibility to resources for communities with environmental justice concerns. Each of the Centers will also create and manage communication channels to ensure all communities have direct access to resources and information. Final awards are subject to administrative and legal reviews to verify compliance with applicable requirements.EPA and the US Department of Energy (DOE) will cooperatively fund these 17 awards, which will feature 14 Regional Centers and 3 National Centers working collaboratively across the United States supporting communities. These 17 awards will be in the form of incrementally funded cooperative agreements where EPA and DOE staff will have substantial involvement in the oversight and implementation of the Program. The establishment of this Program and Centers is in direct response to feedback from communities and environmental justice leaders who have long called for technical assistance and capacity building support for communities and their partners as they work to access critical federal, state, and private resources and engage in decision-making that impacts them. The 17 Centers will provide comprehensive coverage for the entire United States through a network of over 160 partners including community-based organizations, additional academic institutions, and other stakeholders so more communities can access federal funding opportunities like those made available through President Biden’s Inflation Reduction Act and Bipartisan Infrastructure Law as well as funding from states and private foundationsProcesssing Steps:1. Each recipient information was scraped from pdf into an Excel Sheet2. Google Earth was used to gather locations for each recipient 3. XY tabl to point tool was used to convert .XLSX to a feature class.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: EPA,2022-23 ENVIRONMENTAL JUSTICE THRIVING COMMUNITIES TECHNICAL ASSISTANCE CENTERS PROGRAM (EJ TCTAC)
https://www.epa.gov/system/files/documents/2023-07/Project%20Summaries%202022-23%20ENVIRONMENTAL%20JUSTICE%20THRIVING%20COMMUNITIES%20TECHNICAL%20ASSISTANCE%20CENTERS%20PROGRAM.pdf
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: Brief Description: The U.S. Department of Energy’s (DOE) Industrial Efficiency and Decarbonization Office (IEDO) announced the selection of nine organizations—eight regional and one national—that will establish a network of Technical Assistance Partnerships (TAPs) to help industrial facilities and other large energy users increase the adoption of onsite energy technologies. Processing Steps:1. Manually scraped data from source URL2. Created a .csv table with target information3. Grabbed Latitude and longitudes from Google Earth (Approximate)4. Converted to feature class
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Department of Energy Industrial Efficiency and Decarbonization Office , 2023, Onsite Energy Technical Assistance Partnerships. Retrieved 2023 from https://www.energy.gov/eere/iedo/articles/funding-selections-onsite-energy-technical-assistance-partnerships#information
Description: The Climate and Economic Justice Screening Tool (CEJST) is a critical component of the Biden-Harris Administration’s historic commitment to addressing environmental justice. In Executive Order 14008 (EO 14008) on Tackling the Climate Crisis at Home and Abroad (January 27, 2021), President Biden directed the White House Council on Environmental Quality (CEQ) to develop a geospatial mapping tool to identify disadvantaged communities. These communities have been marginalized by society, overburdened by pollution, and underserved by infrastructure and other basic services. The CEJST uses publicly-available, nationally-consistent datasets to identify disadvantaged communities. The datasets are indicators of burdens that disadvantaged communities face. These burdens are related to climate change, the environment, health, and economic opportunity. The CEJST features a userfriendly, searchable map of all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged if they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, or if they are on lands within the boundaries of Federally Recognized Tribes. Census tracts are the smallest geographic unit for which reliable, nationwide data exist to support the CEJST methodology. The tool utilizes the census tract boundaries from 2010 because many of the data sources in the tool use those boundaries. More information about the CEJST methodology, datasets, and downloadable files, can be found on the CEJST website at https://screeningtool.geoplatform.gov. The CEJST Technical Support Document (TSD), also available on the CEJST website, provides additional details about the tool. On November 22, 2022, CEQ launched version 1.0 of the CEJST. Version 1.0 incorporates feedback CEQ received on the beta version of the tool. The beta version of the tool was released on February 18, 2022, with support from the U.S. Digital Service and in collaboration with other Federal agencies and departments, in order to solicit feedback from Federal agencies, Tribal Nations, State and local credit governments, Members of Congress, environmental justice stakeholders, and the public.
Description: The featureclass comprises of the 2022 stationary-source carbon dioxide (CO2) emissions from the United States, obtained from the Environmental Protection Agency's (EPA) Flight database and adapted to conform to the NETL's template. ORIS and Source Type Common fields have been created to correlate with DOE database and to classify and group the various emission types into generalized categories for ease of reference and analysis.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Environmental Protection Agency, National Energy Technology Laboratory, Department of Energy
Description: Brownfields are real property, the expansion, redevelopment, or reuse of which may be complicated by the presence or potential presence of a hazardous substance, pollutant or contaminant. This dataset shows the locations of sites, facilities and properties that have been contaminated by hazardous materials and are being, or have been, cleaned up under EPA Brownfields cleanup programs.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: U.S. EPA Office of Environmental Information (OEI)
Description: The Principal Ports dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Principal Ports are politically defined by port limits or Corps projects, excluding non-Corps projects not authorized for publication. Principal Ports are the top 150 U.S. ports based upon total annual tonnage. Variation in annual tonnage at a port may result in exclusion or inclusion on the Principal Port list. The Principal Port dataset contains port codes, port names, geographic locations (longitude, latitude), and commodity tonnage summaries (total tons, domestic, foreign, imports and exports).
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: US Army Corps of Engineers’ (USACE) Navigation Data Center, and Bureau of Transportation Statistics (BTS) [distributor].,Bureau of Transportation Statistics https://data-usdot.opendata.arcgis.com/datasets/usdot::principal-ports/about
Description: This map provides the locations of airports, which the FAA defines as areas on land or water intended to be used either wholly or in part for the arrival, departure, and surface movement of aircraft/helicopters. Thus, places such as hospitals with helicopter pads are depicted as airports in this dataset. The data is provided as a vector geospatial-enabled file format.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Federal Aviation Administration, Air Traffic Organization, Mission Support Services, Aeronautical Information Services.
Description: This feature class/shapefile represents electric power transmission lines. Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available. The following updates have been made since the previous release: 1,166 features added.
Description: This is a polyline dataset representing the major natural gas transmission pipelines in the U.S. including interstate, intrastate, and gathering pipelines.These data were obtained by the U.S. Energy Information Administration from various sources including FERC Form 567—Annual Report Of System Flow Diagrams and Capacity, and other external sources such as company web pages and industry press. Updated April 2018.Data source: Oak Ridge National Laboratory Data and details are hosted by HIFLD as received from the data provider. For questions /feedback, please email hifld@hq.dhs.gov , Data source: Federal Communications CommissionDownload source: https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::natural-gas-pipelines/explore
Description: The North American Rail Network (NARN) Rail Lines: Class I Freight Railroads View dataset is from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is a subset of the NARN Rail Lines dataset that show the ownership and trackage rights for all the Class I freight railroads: “Burlington Northern and Santa Fe (BNSF),” "Canadian National (CN) Railway," "Canadian Pacific (CP) Railway," "CSX Transportation," "Norfolk Southern (NS) Railway," "Kansas City Southern (KCS) Railway," and "Union Pacific (UP)". It is derived from the North American Rail Network (NARN) Lines dataset, and for more information please consult, https://doi.org/10.21949/1519415. The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Acknowledgment of the Federal Railroad Administration (FRA) and the Bureau of Transportation Statistics (BTS) [distributor].
Description: Secondary Roads Interstates and US Highways
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: U.S. Census Bureau, HIFLD https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::secondary-roads-interstates-and-us-highways/about
Description: Downloaded the 5G coverage shapefile for each state. Merged them into single layer feature class for national level, then ran a dissolve using minimum downloads speed greater than 25 Mbps and minimum uploaded speed of 3 Mbps. The layers in the geodatabase above, are these dissolved layers at the national level and by state. This map displays where Internet services are available across the United States, as reported by Internet Service Providers (ISPs) to the FCC. The map will be updated continuously to improve its accuracy through a combination of FCC verification efforts, new data from Internet providers, updates to the location data, and—importantly—information from the public. Minimum download speed for modeled coverage inMbps.- Value is 0.2 when technology value is 300 (i.e., 3G), is5.0 when technology value is 400 (i.e., 4G LTE), and iseither 7.0 or 35.0 when technology value is 500 (i.e.,5G-NR).Minimum upload speed for modeled coverage in Mbps.- Value is 0.05 when technology value is 300 (i.e., 3G), is1.0 when technology value is 400 (i.e., 4G LTE), and iseither 1.0 or 3.0 when technology value is 500 (i.e., 5GNR).
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: FCC National Broadband Map https://broadbandmap.fcc.gov/data-download/nationwide-data?version=dec2022
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: The EIA-860M Excel dataset was imported and processed using Python. The script involved data fetching, cleansing, and formatting procedures to prepare the dataset for analysis. Geospatial data from the U.S. Census Bureau was utilized to enrich the EIA-860M data with spatial information. The script performed spatial joins, aggregations, and pivot operations to align the data at the census tract level. Detailed and summary outputs were generated in various formats (CSV, Excel, GeoPackage) for ease of use and analysis.For details on the methodology and potential limitations of the original EIA-860M data, refer to the U.S. Energy Information Administration's documentation.Calculations:The fields "Number of Operable Coal Generators" (COAL_OPER_CT) and "Number of Operable Natural Gas Generators" (NGAS_OPER_CT) represent the total count of operable generators within each Census Tract as of the report's date. These are calculated by aggregating the number of generators classified as 'Coal' or 'Natural Gas' respectively. The "Capacity (MW) of Operable Coal Generators" (COAL_OPER_CPCTY) and "Capacity (MW) of Operable Natural Gas Generators" (NGAS_OPER_CPCTY) fields reflect the total capacity in Megawatts of operable generators for coal and natural gas technologies within each Census Tract as of the report's date. These values are the summation of the nameplate capacity of all operable generators within each category.For fields like "Number of Coal Generators with Planned Retirement YYYY" (COAL_PR_CT_YYYY) and "Number of Natural Gas Generators with Planned Retirement YYYY" (NGAS_PR_CT_YYYY), the totals are calculated by counting the number of generators within each technology type that have a planned retirement in the specified year. Similarly, "Capacity (MW) of Coal Generators with Planned Retirement YYYY" (COAL_PR_CPCTY_YYYY) and "Capacity (MW) of Natural Gas Generators with Planned Retirement YYYY" (NGAS_PR_CPCTY_YYYY) are calculated by summing up the capacity of all generators in each technology type that are planned to retire in the specified year. The retired generator fields, such as "Number of Coal Generators Retired YYYY" (COAL_R_CT_YYYY) and "Number of Natural Gas Generators Retired YYYY" (NGAS_R_CT_YYYY), are totals of the generators that have been retired in the specified year, categorized by technology type. The corresponding capacity fields for retired generators are computed in the same manner, summing the capacity of all retired generators for each technology type in the specified year.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Original Data: U.S. Energy Information Administration's EIA-860M data
Original Data Source Weblink: https://www.eia.gov/electricity/data/eia860m/
Original Data Release Date: September 2023
Source Use Restrictions: This dataset is publicly available and can be freely used, with proper citation to the U.S. Energy Information Administration's EIA-860M as the original data source.
Spatial Data: U.S. Census Bureau's 2022 Substate Geographic Boundary Files
Spatial Data Source Weblink: [https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html]
Description: The EIA-860M Excel dataset was imported and processed using Python. The script involved data fetching, cleansing, and formatting procedures to prepare the dataset for analysis. Geospatial data from the U.S. Census Bureau was utilized to enrich the EIA-860M data with spatial information. The script performed spatial joins, aggregations, and pivot operations to align the data at the census tract level. Detailed and summary outputs were generated in various formats (CSV, Excel, GeoPackage) for ease of use and analysis.For details on the methodology and potential limitations of the original EIA-860M data, refer to the U.S. Energy Information Administration's documentation.Calculations:The fields "Number of Operable Coal Generators" (COAL_OPER_CT) and "Number of Operable Natural Gas Generators" (NGAS_OPER_CT) represent the total count of operable generators within each Census Tract as of the report's date. These are calculated by aggregating the number of generators classified as 'Coal' or 'Natural Gas' respectively. The "Capacity (MW) of Operable Coal Generators" (COAL_OPER_CPCTY) and "Capacity (MW) of Operable Natural Gas Generators" (NGAS_OPER_CPCTY) fields reflect the total capacity in Megawatts of operable generators for coal and natural gas technologies within each Census Tract as of the report's date. These values are the summation of the nameplate capacity of all operable generators within each category.For fields like "Number of Coal Generators with Planned Retirement YYYY" (COAL_PR_CT_YYYY) and "Number of Natural Gas Generators with Planned Retirement YYYY" (NGAS_PR_CT_YYYY), the totals are calculated by counting the number of generators within each technology type that have a planned retirement in the specified year. Similarly, "Capacity (MW) of Coal Generators with Planned Retirement YYYY" (COAL_PR_CPCTY_YYYY) and "Capacity (MW) of Natural Gas Generators with Planned Retirement YYYY" (NGAS_PR_CPCTY_YYYY) are calculated by summing up the capacity of all generators in each technology type that are planned to retire in the specified year. The retired generator fields, such as "Number of Coal Generators Retired YYYY" (COAL_R_CT_YYYY) and "Number of Natural Gas Generators Retired YYYY" (NGAS_R_CT_YYYY), are totals of the generators that have been retired in the specified year, categorized by technology type. The corresponding capacity fields for retired generators are computed in the same manner, summing the capacity of all retired generators for each technology type in the specified year.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Original Data: U.S. Energy Information Administration's EIA-860M data
Original Data Source Weblink: https://www.eia.gov/electricity/data/eia860m/
Original Data Release Date: September 2023
Source Use Restrictions: This dataset is publicly available and can be freely used, with proper citation to the U.S. Energy Information Administration's EIA-860M as the original data source.
Spatial Data: U.S. Census Bureau's 2022 Substate Geographic Boundary Files
Spatial Data Source Weblink: [https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html]
Name: General Manufacturing Facilities (NAICS 31-33)
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: Filter was used to filter out certain NCAIS error codes: NAICS NOT IN ('113310', 'N/A') " ", N/A. and 11310A Census tract layer and county layer with "Count of Points" attribute were created using the ESRI "Summarize Within" tool. These are also in the geodatabaseThese provide a count of manufacturing facilities in the census tract and county levels.This dataset includes the entire Industrial PinPointer database of manufacturing companies, which includes the 2009 D2 of 2 update. Eighteen (18) states have been updated in this delivery: Alaska, Arizona, Hawaii, Idaho, Massachusetts, Missouri, Nevada, New Hampshire, New York, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Utah, Wisconsin, and Wyoming. In addition to American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands, two (2) US territories have been added to the dataset from the 2009 D1 of 2 update: Puerto Rico, and US Virgin Islands. This totals 48,930 companies. The database decreased by 65 companies from the 2009 D1 of 2 update. This dataset covers manufacturing locations in the 50 states, the District of Columbia, and US territories. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. SIC codes are not provided for 125 companies in the US territories. Where an employee count is available, only locations employing fifteen (15) or more people are included. Employee count is not available for the US territories; therefore, all locations primarily engaged in manufacturing are included for these territories. All text fields were set to upper case, leading and trailing spaces were trimmed from all text fields, and non-printable and diacritic characters were removed from all text fields per NGA's request.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Homeland Infrastructure Foundation-Level Data (HIFLD), DOD
https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::general-manufacturing-facilities/about
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: Filter was used to filter out certain NCAIS error codes: NAICS NOT IN ('113310', 'N/A') " ", N/A. and 11310A Census tract layer and county layer with "Count of Points" attribute were created using the ESRI "Summarize Within" tool. These are also in the geodatabaseThese provide a count of manufacturing facilities in the census tract and county levels.Filter was used to filter out certain NCAIS error codes: NAICS NOT IN ('113310', 'N/A') " ", N/A. and 11310A Census tract layer and county layer with "Count of Points" attribute were created using the ESRI "Summarize Within" tool. These are also in the geodatabaseThese provide a count of manufacturing facilities in the census tract and county levels.This dataset includes the entire Industrial PinPointer database of manufacturing companies, which includes the 2009 D2 of 2 update. Eighteen (18) states have been updated in this delivery: Alaska, Arizona, Hawaii, Idaho, Massachusetts, Missouri, Nevada, New Hampshire, New York, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Utah, Wisconsin, and Wyoming. In addition to American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands, two (2) US territories have been added to the dataset from the 2009 D1 of 2 update: Puerto Rico, and US Virgin Islands. This totals 48,930 companies. The database decreased by 65 companies from the 2009 D1 of 2 update. This dataset covers manufacturing locations in the 50 states, the District of Columbia, and US territories. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. SIC codes are not provided for 125 companies in the US territories. Where an employee count is available, only locations employing fifteen (15) or more people are included. Employee count is not available for the US territories; therefore, all locations primarily engaged in manufacturing are included for these territories. All text fields were set to upper case, leading and trailing spaces were trimmed from all text fields, and non-printable and diacritic characters were removed from all text fields per NGA's request.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Homeland Infrastructure Foundation-Level Data (HIFLD), DOD
https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::general-manufacturing-facilities/about
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Name: General Manufacturing Facilities Tract by Employment
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Filter was used to filter out certain NCAIS error codes: NAICS NOT IN ('113310', 'N/A') " ", N/A. and 11310A Census tract layer and county layer with "Count of Points" attribute were created using the ESRI "Summarize Within" tool. These are also in the geodatabaseThese provide a count of manufacturing facilities in the census tract and county levels.Filter was used to filter out certain NCAIS error codes: NAICS NOT IN ('113310', 'N/A') " ", N/A. and 11310A Census tract layer and county layer with "Count of Points" attribute were created using the ESRI "Summarize Within" tool. These are also in the geodatabaseThese provide a count of manufacturing facilities in the census tract and county levels.This dataset includes the entire Industrial PinPointer database of manufacturing companies, which includes the 2009 D2 of 2 update. Eighteen (18) states have been updated in this delivery: Alaska, Arizona, Hawaii, Idaho, Massachusetts, Missouri, Nevada, New Hampshire, New York, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Utah, Wisconsin, and Wyoming. In addition to American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands, two (2) US territories have been added to the dataset from the 2009 D1 of 2 update: Puerto Rico, and US Virgin Islands. This totals 48,930 companies. The database decreased by 65 companies from the 2009 D1 of 2 update. This dataset covers manufacturing locations in the 50 states, the District of Columbia, and US territories. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. SIC codes are not provided for 125 companies in the US territories. Where an employee count is available, only locations employing fifteen (15) or more people are included. Employee count is not available for the US territories; therefore, all locations primarily engaged in manufacturing are included for these territories. All text fields were set to upper case, leading and trailing spaces were trimmed from all text fields, and non-printable and diacritic characters were removed from all text fields per NGA's request.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Homeland Infrastructure Foundation-Level Data (HIFLD), DOD
https://hifld-geoplatform.opendata.arcgis.com/datasets/geoplatform::general-manufacturing-facilities/about
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: This layer is exported records for NAICS code 2213 - WATER, SEWAGE and OTHER SYSTEMSThe North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. For Biennial Report purposes, sites must provide their primary NAICS using either a 5- or 6-digit NAICS code and any number of secondary NAICSProcesssing Steps:1.The records were download from the source link2. the address were goecoded to produce lat and long3. The tabular data was converted to feature class4. Summarize by count was used to count all the points within each county.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: EPA 2021 Detailed NAICS Results for National (NAICS 2213)
https://rcrapublic.epa.gov/rcrainfoweb/action/modules/br/naics/searchDetail/false/ALL/2021/2213/ALL/null
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: This layer is exported records for NAICS code 2213 - WATER, SEWAGE and OTHER SYSTEMSThe North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. For Biennial Report purposes, sites must provide their primary NAICS using either a 5- or 6-digit NAICS code and any number of secondary NAICSProcesssing Steps:1.The records were download from the source link2. the address were goecoded to produce lat and long3. The tabular data was converted to feature class4. Summarize by count was used to count all the points within each county.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: EPA 2021 Detailed NAICS Results for National (NAICS 2213)
https://rcrapublic.epa.gov/rcrainfoweb/action/modules/br/naics/searchDetail/false/ALL/2021/2213/ALL/null
For questions contact:
Maneesh Sharma: Maneesh.Sharma@netl.doe.gov
Daniel Amrine: Daniel.Amrine@netl.doe.gov
Description: ---------- Processing Steps ----------The County Business Patterns CSV dataset (CBP2021.CB2100CBP) was imported into a pandas DataFrame, and specific NAICS codes were selected, focusing on establishments regardless of size (EMPSZES == '001'). The DataFrame was filtered to retain only critical columns: GEO_ID, NAME, EMPSZES_LABEL, YEAR, ESTAB, and EMP. An output DataFrame was created to store the restructured data, with each row uniquely identifying a county via GEO_ID. The number of establishments (ESTAB) and employees (EMP) were compiled for each selected NAICS code. Missing values were replaced with zeros to ensure continuity. The data was spatially enriched by joining with a 2019 County Shapefile, and a thorough consistency check was conducted to guarantee full national coverage, marking counties with no data appropriately.---------- Additional Information ----------Data Fields:GEO_ID: Geographic identifier codeNAME: County nameYEAR: Data year (2021 for all records)EMPSZES: Employment size category ('001' for all records)EMPSZES_LABEL: Employment size descriptor ('All establishments')ESTAB: Number of establishments (summed by NAICS code)EMP: Number of employees (summed by NAICS code)Additional columns are prefixed with 'NAICS_' plus the code, with suffixes '_ESTAB' and '_EMP' indicating the data type.Included NAICS Codes:NAICS Codes and Descriptions:00: Total for all sectors2213: Waste, Sewer, and Other Systems31-33: Manufacturing211: Oil and Gas Extraction2121: Coal Mining213111: Drilling Oil and Gas Wells213112: Support Activities for Oil and Gas Operations213113: Support Activities for Coal Mining32411: Petroleum Refineries4861: Pipeline Transportation of Crude Oil4862: Pipeline Transportation of Natural Gas311000: Food Manufacturing312000: Beverage and Tobacco Product Manufacturing313000: Textile Mills314000: Textile Product Mills315000: Apparel Manufacturing316000: Leather and Allied Product Manufacturing321000: Wood Product Manufacturing322000: Paper Manufacturing3221: Pulp, Paper, and Paperboard Mills3222: Converted Paper Product Manufacturing323000: Printing and Related Support Activities324000: Petroleum and Coal Products Manufacturing325000: Chemical Manufacturing3251: Basic Chemical Manufacturing3252: Resin, Synthetic Rubber, and Artificial and Synthetic Fibers and Filaments Manufacturing3253: Pesticide, Fertilizer, and Other Agricultural Chemical Manufacturing3254: Pharmaceutical and Medicine Manufacturing3255: Paint, Coating, and Adhesive Manufacturing326000: Plastics and Rubber Products Manufacturing327000: Nonmetallic Mineral Product Manufacturing3271: Clay Product and Refractory Manufacturing3272: Glass and Glass Product Manufacturing3273: Cement and Concrete Product Manufacturing3274: Lime and Gypsum Product Manufacturing3279: Other Nonmetallic Mineral Product Manufacturing331000: Primary Metal Manufacturing3311: Iron and Steel Mills and Ferroalloy Manufacturing3312: Steel Product Manufacturing from Purchased Steel3313: Alumina and Aluminum Production and Processing3314: Nonferrous Metal (except Aluminum) Production and Processing3315: Foundries332000: Fabricated Metal Product Manufacturing3321: Forging and Stamping3323: Architectural and Structural Metals Manufacturing333000: Machinery Manufacturing3331: Agriculture, Construction, and Mining Machinery Manufacturing3332: Industrial Machinery Manufacturing3333: Commercial and Service Industry Machinery Manufacturing3334: Ventilation, Heating, Air-Conditioning, and Commercial Refrigeration Equipment Manufacturing3335: Metalworking Machinery Manufacturing3336: Engine, Turbine, and Power Transmission Equipment Manufacturing3339: Other General Purpose Machinery Manufacturing334000: Computer and Electronic Product Manufacturing3341: Computer and Peripheral Equipment Manufacturing3342: Communications Equipment Manufacturing3344: Semiconductor and Other Electronic Component Manufacturing3345: Navigational, Measuring, Electromedical, and Control Instruments Manufacturing3346: Manufacturing and Reproducing Magnetic and Optical Media335000: Electrical Equipment, Appliance, and Component Manufacturing3351: Electric Lighting Equipment Manufacturing3352: Household Appliance Manufacturing3353: Electrical Equipment Manufacturing3359: Other Electrical Equipment and Component Manufacturing33591: Battery Manufacturing335910: Battery Manufacturing336000: Transportation Equipment Manufacturing3361: Motor Vehicle Manufacturing3362: Motor Vehicle Body and Trailer Manufacturing3363: Motor Vehicle Parts Manufacturing3364: Aerospace Product and Parts Manufacturing3365: Railroad Rolling StockMethodology and Limitations:For more details on the original data collection and production methods, refer to the U.S. Census Bureau's [Program Methodology](https://www.census.gov/programs-surveys/cbp/technical-documentation/methodology.html).Additional Information from Original Data Source:Original data uses Noise disclosure methodology from 2007 for confidentiality, includes only establishments with payroll. certain employment-size classes are available at specific geographic levels only. Original data was released April 27, 2023.Source Use Restrictions: This dataset is public domain and can be freely used, with proper citation to the U.S. Census Bureau's County Business Patterns as the original data source.
Service Item Id: ea8ab62f67d3480895831512cc10c85d
Copyright Text: Original Data: U.S. Census Bureau's County Business Patterns 2021 (CBP2021.CB2100CBP)
Original Data Source Weblink: https://www.census.gov/programs-surveys/cbp.html