These Flow-By-Sector (FBS) datasets capture food waste flows between waste-generating sectors and waste management pathways. The sectors are generally North American Industry Classification System (NAICS) 2012 codes. The first dataset, method 1 (m1), attributes food waste generation and disposition data from the USEPA Wasted Food Report to sectors. The second method, method 2 (m2), attributes wasted food data from the National Commercial Non-Hazardous Waste (CNHW) FBS dataset to sectors. These food waste datasets were generated with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2). M1 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m1.yaml and m2 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m2.yaml. The metadata text files included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. The CNHW data were generated in FLOWSA v1.3.0, with the method file https://github.com/USEPA/flowsa/blob/v1.3.0/flowsa/methods/flowbysectormethods/CNHW_national_2018.yaml.

This Excel-based life cycle inventory (LCI) model develops LCI data for management of wasted food via anaerobic digestion (AD), windrow and aerated static pile (ASP) composting, landfilling and incineration. The inventory model is run for the following scenario options: >AD biogas fate: flare, combined heat and power (CHP) and renewable natural gas (RNG) >Landfill gas fate: flare, electric engine, and RNG >Compost method: windrow and ASP >Incineration technology: Grate furnace - mass burn >Digestate management: compost + land application, land application of whole digestate and digestate landfilling >Land application modeling is limited to avoided fertilizer credits and carbon sequestration benefit. Estimating emissions associated with land application is beyond the scope of this model. Implicitly, emissions associated with compost and digestate are assumed to be equivalent to those from avoided synthetic fertilizer, leading to a net zero change in impact when changing nutrient sources. The output is stored in the 'LCI' tab which can be exported into a csv or other text-based file. Definitions for the field names in the LCI sheet is included in the 'LCI Key' tab.

The EPA Excess Food Opportunities Map was developed to support nationwide diversion of excess food from landfills. The map identifies and displays facility-specific information about potential generators and recipients of excess food, as well as related infrastructure. The map also provides estimates of excess food for each facility where data is available. As a whole, the map helps users understand the geographic dimensions of excess food as a resource, and identify potential recipients, such as food banks and composting and anaerobic digestion facilities, in lieu of landfills and combustion facilities. The map can also be used to identify infrastructure gaps and to assess the feasibility of developing new recipient facilities.

This table lists Food Banks associated with the Food Waste Recipient Count by Zip Code GIS dataset. Food Bank information was collected in 2015 from Feeding America, a national organization for food banks. The table includes food banks that are either Partner Distribution Organizations (PDO) or Regional Distribution Organizations (RDO). Calculations used to estimate annual excess food weight are described in EPAs 2019 publication: Technical Methodology for the EPA Excess Food Opportunities Map. The dataset contains 317 facilities.

This GIS dataset contains polygon features that represent legal boundaries for counties and equivalent entities for the US and its territories. These polygon boundaries were sourced from US Census Bureau 2015 TIGER/Line Shapefiles. Counts by county were summed from four related tables: 1. Anaerobic Digestion Facility List 2. Animal, Milk, and Egg Producer List 3. Composting Facility List and 4. Food Bank List. The dataset contains 3,233 polygons.

This dataset provides estimated tons generated and recycled by U.S. zip code and material. It relies on materials management reports and surveys from various states and regions, State Measurement Program (SMP) data, Ball Corporation’s Fifty States of Recycling report, EPA’s Excess Food Opportunities Map, and the U.S. Census Bureau’s American County Survey dataset. Quantities generated and recycled by zip code were estimated by dividing state reported generation and recycled quantities by the population for each state and for each material to arrive at state-specific per capita rates and then those per capita rates were applied to the population of each zip code in each corresponding state. Estimated recycling potential for each material is the difference between estimated tons generated and estimated tons recycled. Those zip codes with the greatest difference in generated and recycled tons have higher estimated recycling potential. The data was then integrated with a U.S. Census Bureau Tiger Database zip code shapefile to create the resulting data layer. The zip code shapefile was simplified to remove vertices. This dataset includes 16 recyclable material types: aluminum, cardboard, electronics, food waste, glass, HDPE bottles #2, PET bottles #1, PET other #1, PP (polypropylene) containers #5, rigid plastics #3 to #7, steel cans, tires, paper, textiles, yard trimmings, and wood. Note that there are certain materials for which data are not available for every state. In these cases, the layer will only display zip codes where data is available. This dataset is a snapshot of U.S. recycling quantities, infrastructure, and materials markets as of 2019-2021. The map was created by Industrial Economics, Inc. (IEc), a consultancy supporting EPA to develop the Recycling Infrastructure and Market Opportunities Map. The map is managed by EPA’s Office of Land and Emergency Management. This project was supported in part by an appointment to the Research Participation Program at the Office of Land and Emergency Management, U.S. Environmental Protection Agency, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and EPA.

This GIS dataset contains point features that represent facilities that recover wasted food to feed people across theUS. Food bank information was collected in 2015 from Feeding America (www.feedingamerica.org), a national organization for food banks, and includes food banks as well as Partner Distribution Organizations (PDO) and Regional Distribution Organizations (RDO). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 316 facilities.

Dataset for Biodegradation Journal Manuscript "Effects of Landfill Food Waste Diversion- a Focus on Microbial Populations and Methane Generation" Excel file. This dataset is associated with the following publication: Chickering, G., M. Krause, and A. Schwarber. Effects of Landfill Food Waste Diversion: a Focus on Microbial Populations and Methane Generation. BIODEGRADATION. Springer, New York, NY, USA, 1-12, (2023).

This table lists composting facilities associated with the Food Waste Recipient Count by Zip Code GIS dataset. This table identifies operational composting facilities, and some currently accept excess food as a feedstock. This dataset was compiled in 2018 using composting facility data from various state websites or provided by state agencies as detailed in EPAs 2019 publication: Technical Methodology for the EPA Excess Food Opportunities Map. This dataset contains 3,021 facilities.

Data for tables and figures. This dataset is associated with the following publication: Dominguez, T., J. Aurell, B. Gullett, R. Eninger, and D. Yamamoto. Characterizing emissions from open burning of military food waste and ration packaging compositions. Journal of Material Cycles and Waste Management. Springer Japan KK, Tokyo, JAPAN, 20(2): 903-913, (2018).

This GIS dataset contains point features that represent food manufacturers and processors associated with fifty-four NAICS codes. Establishment-specific information except the annual wasted food estimate was licensed to the EPA from Hoovers, Inc. in 2015 (http://www.hoovers.com). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 58,263 facilities.

Scaled WARM is a direct impacts model of GHG emissions, Employment, Wages, and Taxes attributed to material-specific waste management pathways. The waste management pathways are based on North American Industry Classification System (NAICS) 2012 codes. This dataset is generated by fusing material-specific factors from the USEPA Waste Reduction Model (WARM) with waste generation data from USEPA Facts and Figures, Wasted Food Report, and CDDPath. Scaled WARM is generated with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) and the method file https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/Mixed_WARM_national_2018.yaml.

This table contains features that represent communities with residential curbside food waste collection programs in the United States. EPA used US Census Bureau data additional research to define the administrative boundaries of each community. Communities were identified based on BioCycle surveys from 2017 and 2021, supplemented with additional EPA research and feedback from states and communities, as described in EPA’s 2023 publication: EPA Excess Food Opportunities Map Version 3 - Technical Methodology. The dataset contains 275 communities.

a. NYC data sets: 12 nearest and farthest comparison data sets to NYC 1990 and NYC 2004. b. NYC data sets: 12 nearest and farthest comparison data sets to NYC 2013 and NYC 2017.

The dataset includes the LCA, LCIA, LCC, sensitivity analysis for the wastewater treatment expansion for co-digestion with food waste. This dataset is associated with the following publication: Morelli, B., S. Cashman, X. Ma, J. Turgeon, S. Arden, and J. Garland. Environmental and Cost Benefits of Co-Digesting Food Waste at Wastewater Treatment Plants. WATER SCIENCE AND TECHNOLOGY. IWA Publishing, London, UK, 82(2): 227-241, (2020).

This table lists anaerobic digestion (AD) facilities associated with the Food Waste Recipient Count by Zip Code GIS dataset. This table identifies operational AD facilities that could potentially accept excess food for beneficial use. The data was compiled from lists maintained by US EPA staff and the AgSTAR program, and through data available at www.biogasdata.org. Facilities included in this database appear to be operational as of 2015 unless otherwise noted in the metadata, though not all facilities presently accept food. This dataset contains 1,381 facilities.

On America Recycles Day, 2020, the U.S. Environmental Protection Agency (EPA) announced a National Recycling Goal to increase the U.S. recycling rate of materials generated in municipal solid waste (MSW) to 50 percent by 2030. To further this goal and support the building of new recycling infrastructure through the Bipartisan Infrastructure Law (BIL), EPA developed a map displaying estimated generation of recyclable materials, estimated recycled quantities, existing recycling infrastructure, potential recycling end markets, and other MSW infrastructure such as landfills and transfer stations. The map can be used to identify infrastructure gaps, facilitate a needs analysis, and better understand where funding could be allocated to enhance markets. This dataset provides estimated tons generated and recycled by U.S. ZIP code and material. It relies on materials management reports and surveys from various states and regions, State Measurement Program (SMP) data, the Ball Corporation's Fifty States of Recycling, EPA's EPA’s Excess Food Opportunities Map, and the U.S. Census Bureau’s American Community Survey dataset. EPA estimated the quantities generated and recycled by ZIP code by dividing state reported generation and recycled quantities by the population for each state and for each material to arrive at state-specific per capita rates. Those per capita rates were then applied to the population of each ZIP code in each corresponding state. By clicking on the map, the user can see the estimated tons generated per capita and recycled per capita. Estimated recycling potential for each material is the difference between estimated tons generated and estimated tons recycled. The ZIP codes with the greatest difference in generated and recycled tons have higher estimated recycling potential.The data were then integrated with a U.S. Census Bureau Tiger Database ZIP code shapefile to create the resulting data layer. The ZIP code shapefile was simplified to remove vertices. This dataset includes 16 recyclable material types: aluminum, cardboard, electronics, food waste, glass, HDPE bottles #2, PET bottles #1, PET other #1, PP (polypropylene) containers #5, rigid plastics #3 to #7, steel cans, tires, paper, textiles, yard trimmings, and wood. Note that there are certain materials for which data are not available for every state. In these cases, the layer will only display ZIP codes where data are available.The map provides estimated U.S. recycling quantities, infrastructure, materials markets, and supporting market factors using the best available data at the time the map was developed (2021-2022). While data sources range from 2011 to 2021, most data are from 2018-2021. The map was created and by Industrial Economics, Inc. (IEc), a consultancy supporting EPA to develop the Recycling Infrastructure and Market Opportunities Map. The map is managed by EPA’s Office of Land and Emergency Management. This project was supported in part by an appointment to the Research Participation Program at the Office of Land and Emergency Management, U.S. Environmental Protection Agency, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and EPA.

This GIS dataset contains point features that represent food wholesalers, distributors, and supermarket and grocery stores represented by twenty-two unique NAICS codes. Establishment-specific information except the annual wasted food estimate was licensed to the EPA from Hoovers, Inc. in 2015 (http://www.hoovers.com). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 299,617 facilities.

This GIS dataset contains point features that represent healthcare facilities associated with a single NAICS code. Establishment-specific information except the annual wasted food estimate was licensed to the EPA from Hoovers, Inc. in 2015 (http://www.hoovers.com). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 19,960 facilities.

This GIS dataset contains point features that represent hotels and motels, casinos, and casino hotels associated with three NAICS codes. Establishment-specific information except the annual wasted food estimate was licensed to the EPA from Hoovers, Inc. in 2015 (http://www.hoovers.com). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 85,626 facilities.