100+ datasets found
  1. Food waste generated in the United States 2016-2019

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Food waste generated in the United States 2016-2019 [Dataset]. https://www.statista.com/statistics/1386235/amount-of-food-waste-generated-in-the-united-states/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The volume of food waste generated in the United States has been growing since 2016. In 2019, ***** million tons of food waste were generated in the country. This is an increase of almost **** million tons compared to the food waste generated in 2016.

  2. U.S. volume of food waste 2015, by facility

    • statista.com
    Updated Mar 9, 2016
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    Statista (2016). U.S. volume of food waste 2015, by facility [Dataset]. https://www.statista.com/statistics/530098/weight-of-wasted-food-by-facility-us/
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    Dataset updated
    Mar 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United States
    Description

    This statistic represents the volume of wasted food in the United States in 2015, broken down by facility. In that year, American households generated approximately ** million metric tons of food waste. Food waste in the United States – additional information Farms, grocery stores, and restaurants are often blamed for creating vast amounts of food waste, where in reality, families and households generate the largest volume of wasted food, totaling some ** million metric tons in the United States in 2015, which equaled about *** billion U.S. dollars. A large proportion of food that goes to waste is from perishable items such as fruits and vegetables, which accounted for about ** percent of waste in 2015. Fruit and vegetables are some of the least expensive, yet, fastest to spoil and thus, often get discarded. On the other hand, seafood and meats are among the most expensive items and are two of the least discarded products. In one survey, almost half of the American respondents believed that grocery stores could help consumers reduce waste by offering certain food items in smaller quantities. Others believed that offering bulk food bins and incentives to encourage buying things when they are needed could also reduce the production of food waste. Annually, the U.S. sends about **** million tons of food to the landfill and another **** million tons remain unharvested from farms. A significant portion of the unharvested food is due to cosmetic imperfections, but is mostly left on site to be composted. Waste from farms is usually only sent to landfills due to surplus and rejected products from packinghouses. However, only about 10 percent of food waste from consumer-facing businesses and homes are recycled and recovered. Transportation costs for food scraps tend to be disproportionately high and market values for energy and compost end products from scraps are worth less than those garnered from plastics and metals.

  3. U.S. Food Waste Flows Between Sectors, 2018 v1.3.2

    • datasets.ai
    • catalog.data.gov
    8
    Updated Jan 8, 2024
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    U.S. Environmental Protection Agency (2024). U.S. Food Waste Flows Between Sectors, 2018 v1.3.2 [Dataset]. https://datasets.ai/datasets/u-s-food-waste-flows-between-sectors-2018-v1-3-2
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    8Available download formats
    Dataset updated
    Jan 8, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Authors
    U.S. Environmental Protection Agency
    Area covered
    United States
    Description

    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.

  4. d

    Data from: U.S. household food waste tracking data in support of Li et al....

    • dataone.org
    • portal.edirepository.org
    Updated Oct 20, 2023
    + more versions
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    Brian Roe (2023). U.S. household food waste tracking data in support of Li et al. 2023 [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fedi%2F1388%2F1
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    Dataset updated
    Oct 20, 2023
    Dataset provided by
    Environmental Data Initiative
    Authors
    Brian Roe
    Time period covered
    Feb 1, 2021 - Apr 22, 2022
    Area covered
    Variables measured
    k_12, wave, age_3, inc_3, educ_3, female, latino, race_4, employ_3, hhsize_3, and 73 more
    Description

    These data were used to generate the results in the article “Household Food Waste Trending Upwards in the United States: Insights from a National Tracking Survey,” by Ran Li, Yiheng Shu, Kathryn E. Bender & Brian E. Roe, which has been accepted for publication in the Journal of the Agricultural and Applied Economics Association (doi – pending). The Stata code used to generate results is available from the authors upon request. U.S. residents who participate in consumer panels managed by a commercial vendor were invited by email or text message to participate in a two-part online survey during four waves of data collection: February and March of 2021 (Feb 21 wave, 425 initiated, 361 completed), July and August of 2021 (Jul 21 wave, 606 initiated, 419 completed), December of 2021 and January of 2022 (Dec 21 wave, 760 initiated, 610 completed), and February, March and April of 2022 (Feb 22 wave, 607 initiated, 587 completed). We are not able to determine if any respondents participated in multiple waves, i.e., if any of the observations are repeat participants. All participants provided informed consent and received compensation. Inclusion criteria included age 18 years or older and performance of at least half of the household food preparation. No data was collected during major holidays, i.e., the weeks of the Fourth of July (Independence Day), Christmas, or New Years. Recruitment quotas were implemented to ensure sufficient representation by geographical region, race, and age group. Post-hoc sample weights were constructed to reflect population characteristics on age, income and household size. The protocol was approved by the local Internal Review Board. The approach begins with participants completing an initial survey that ends with an announcement that a follow-up survey will arrive in about one week, and that for the next 7 days, participants should pay close attention to the amounts of different foods their household throws away, feeds to animals or composts because the food is past date, spoiled or no longer wanted for other reasons. They are told to exclude items they would normally not eat, such as bones, pits, and shells. Approximately 7 days later they received the follow-up survey, which elicited the amount of waste in up to 24 categories of food and included other questions (see supplemental materials for core survey questions). Waste amounts in each category are reported by selecting from one of several ranges of possible amounts. The gram weight for categories with volumetric ranges (e.g., listed in cups) were derived by assigning an appropriate mass to the midpoint of the selected range consistent with the food category. For the categories with highly variable weight per volume (e.g., a cup of raw asparagus weighs about 7 times more than a cup of raw chopped arugula), we use the profile of items most consumed in the United States to determine the appropriate gram weight. For display purposes, the 24 categories are consolidated into 8 more general categories. Total weekly household food waste is calculated by summing up reported gram amounts across all categories. We divide this total by the number of household members to generate the per person weekly food waste amount.

  5. Most commonly wasted food types in the U.S. by ethnicity 2017

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Most commonly wasted food types in the U.S. by ethnicity 2017 [Dataset]. https://www.statista.com/statistics/698780/americans-most-commonly-wasted-food-types-united-states-by-ethnicity/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 20, 2017 - Mar 29, 2017
    Area covered
    United States
    Description

    This statistic shows the results of a survey among Americans in 2017 in regards to their most commonly wasted food types, with a breakdown by ethnic group. As of March 2017, some 58 percent of Hispanic or Latin American respondents stated that they threw away dairy products most often.

  6. Respondents who think food waste is a big problem in the United States 2022

    • statista.com
    Updated Oct 3, 2022
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    Statista (2022). Respondents who think food waste is a big problem in the United States 2022 [Dataset]. https://www.statista.com/statistics/1346264/food-waste-problem-opinions-united-states/
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    Dataset updated
    Oct 3, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 3, 2022 - Oct 6, 2022
    Area covered
    United States
    Description

    How big of a problem is food waste in the United States? 1,000 United States adult citizens responded to this question. Around ** percent of those surveyed said it is "a very big problem." Notably, ** percent of respondents were unsure if food waste is a big problem.

  7. U.S. value of food waste 2015, by facility

    • statista.com
    Updated Mar 9, 2016
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    Statista (2016). U.S. value of food waste 2015, by facility [Dataset]. https://www.statista.com/statistics/530118/value-of-wasted-food-by-facility-us/
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    Dataset updated
    Mar 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United States
    Description

    This statistic represents the value of food wasted in the United States in 2015, by facility. In that year, American households generated food waste worth of some 144 billion U.S. dollars. In total, food worth of about 218 billion U.S. dollars was wasted by households, consumer-facing businesses, farms and manufacturers in 2015.

  8. w

    Global Food Waste App Market Research Report: By Business Model...

    • wiseguyreports.com
    Updated Aug 10, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Food Waste App Market Research Report: By Business Model (Software-as-a-Service (SaaS), On-Premise), By Feature (Inventory Management, Recipe Planning, Automated Meal Planning, Donation Management, Composting), By Deployment Type (Cloud-based, On-premises) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/food-waste-app-market
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    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202323.18(USD Billion)
    MARKET SIZE 202428.97(USD Billion)
    MARKET SIZE 2032172.4(USD Billion)
    SEGMENTS COVEREDBusiness Model ,Feature ,Deployment Type ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSGrowth in food surplus Increasing waste diversion initiatives Emergence of new technologies
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDChef's Plate ,Karma ,FlashFood ,Too Good To Go ,Olio ,Hungry Harvest ,Yume ,Spoiler Alert ,Phenix ,Full Harvest ,Imperfect Foods ,MyFood ,Kitche ,Misfits Market ,FoodForAll
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIES1 Growing consumer awareness about food waste 2 Adoption of AI and ML for improving waste management 3 Government regulations and initiatives to reduce food waste 4 Expansion into developing markets 5 Partnerships with food retailers and restaurants
    COMPOUND ANNUAL GROWTH RATE (CAGR) 24.98% (2025 - 2032)
  9. Food Waste Management Market Analysis North America, Europe, APAC, South...

    • technavio.com
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    Technavio, Food Waste Management Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, Germany, Canada, France - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/food-waste-management-market-size-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Food Waste Management Market Size 2024-2028

    The food waste management market size is forecast to increase by USD 9.13 billion, at a CAGR of 4.25% between 2023 and 2028.

    The market is experiencing significant growth due to escalating concerns regarding carbon emissions and their environmental impact. This trend is driven by increasing public awareness and government initiatives to reduce food waste and promote sustainability. The market is further fueled by the emergence of numerous startups, introducing innovative solutions to address food waste management challenges, and the conversion of such food waste into bio-based products and organic fertilizers. However, this market landscape is not without obstacles.
    The risks of fire accidents in food waste management facilities pose a significant challenge, necessitating stringent safety measures and regulatory compliance. Companies in this sector must navigate these challenges while capitalizing on the growing market potential to effectively reduce food waste, minimize carbon emissions, and contribute to a more sustainable future.
    

    What will be the Size of the Food Waste Management Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
    Request Free Sample

    The market continues to evolve, driven by the growing awareness of the environmental and economic implications of food waste. Digester technology and composting facilities play a significant role in transforming food waste into valuable resources, such as biogas and nutrient-rich soil. Food waste audits and sorting equipment enable efficient waste management, ensuring that only inedible waste is sent for disposal or processing. Waste disposal and waste management equipment are essential components of the food waste management ecosystem, facilitating the transportation and treatment of waste. Waste management consulting services offer expertise in optimizing waste management systems, reducing waste, and implementing circular economy principles.

    Sustainability metrics provide a framework for measuring the environmental impact of food waste management practices. The biogas market offers opportunities for energy recovery from food waste, while waste processing techniques such as anaerobic digestion and composting contribute to food security by producing organic fertilizers for agriculture. Organic farming and recycling rates are also benefiting from the increasing focus on sustainable waste management. Waste collection vehicles and transportation systems ensure the efficient collection and transport of food waste to processing facilities. Closed-loop systems and compost facility design optimize resource recovery and minimize environmental impact. Waste heat recovery and biogas scrubbers enhance the sustainability of food waste management processes.

    Life cycle analysis and waste management software facilitate the assessment and optimization of food waste management systems. Waste diversion programs and waste reduction targets promote the adoption of source reduction strategies. Food waste tracking and landfill diversion initiatives help to minimize greenhouse gas emissions. Environmental regulations and consumer education are driving the adoption of food waste reduction practices. Food packaging optimization and carbon footprint reduction strategies are also gaining importance in the food waste management landscape. Waste reduction incentives and anaerobic digestion offer opportunities for businesses to reduce their environmental impact and generate revenue.

    How is this Food Waste Management Industry segmented?

    The food waste management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Method
    
      Landfill
      Recycling
      Incineration
    
    
    Application
    
      Feed
      Fertilizers
      Biofuel
      Power generation
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
    
    
      APAC
    
        China
    
    
      Rest of World (ROW)
    

    .

    By Method Insights

    The landfill segment is estimated to witness significant growth during the forecast period.

    The market is witnessing significant activity and evolving trends as various entities strive to minimize waste and promote sustainability. Digester technology, such as anaerobic digestion plants, plays a crucial role in transforming food waste into biogas for energy production. Composting facilities, using compost turners and sustainable facility designs, convert food waste into nutrient-rich soil for organic farming. Food waste audits, sorting equipment, and waste management consulting services ensure efficient waste processing and diversion from landfills. Sustainability metrics, recycling ra

  10. F

    Export Price Index (Harmonized System): Residues and Waste from the Food...

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2025
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    (2025). Export Price Index (Harmonized System): Residues and Waste from the Food Industries; Prepared Animal Feed [Dataset]. https://fred.stlouisfed.org/series/ID23
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    jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Export Price Index (Harmonized System): Residues and Waste from the Food Industries; Prepared Animal Feed (ID23) from Dec 1992 to May 2025 about animals, waste, harmonized, exports, food, industry, price index, indexes, price, and USA.

  11. T

    United States Imports of Residues, wastes of food industry, animal fodder

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 19, 2021
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    TRADING ECONOMICS (2021). United States Imports of Residues, wastes of food industry, animal fodder [Dataset]. https://tradingeconomics.com/united-states/imports/residues-wastes-food-industry-animal-fodder
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Dec 19, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports of Residues, wastes of food industry, animal fodder was US$5.45 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports of Residues, wastes of food industry, animal fodder - data, historical chart and statistics - was last updated on July of 2025.

  12. F

    Food Waste Management Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 20, 2025
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    Archive Market Research (2025). Food Waste Management Software Report [Dataset]. https://www.archivemarketresearch.com/reports/food-waste-management-software-38635
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global food waste management software market is projected to reach USD 1,457.8 million by 2033, exhibiting a CAGR of 12.1% during the forecast period (2023-2033). The rising awareness of food waste reduction, coupled with stringent regulations and government initiatives, is driving the market growth. Enterprises, municipalities, and residential sectors are increasingly implementing food waste management software solutions to optimize their operations, reduce food waste, and achieve sustainability goals. The market is segmented by application (enterprise, municipal, residential) and type (local deployment, cloud-based). Key industry players include Winnow Solutions, Access Procure Wizard, JAMIX, Lumitics, Evreka, Leanpath, TotalCtrl Home, RecycleERP, Focus Softnet, CGI Aromi, and others. The market is witnessing advancements in technology, such as the integration of artificial intelligence (AI) and machine learning (ML) into food waste management software, to improve data analysis, waste reduction forecasting, and optimization capabilities. Regional variations in food waste regulations and waste management practices influence market dynamics across North America, South America, Europe, the Middle East & Africa, and Asia Pacific. Food waste management software solutions address the growing concern of food waste by digitally tracking and managing food inventory, streamlining operations, and implementing data-driven strategies to reduce waste.

  13. Summary statistics of demographic variables.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
    + more versions
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    Vaneesha Dusoruth; Hikaru Hanawa Peterson (2023). Summary statistics of demographic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0233287.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vaneesha Dusoruth; Hikaru Hanawa Peterson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics of demographic variables.

  14. d

    Quantification of Food Waste Disposal in the United States: A Meta-Analysis

    • search.dataone.org
    • portal.edirepository.org
    • +1more
    Updated Jul 8, 2020
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    Krista L. Thyberg; David J. Tonjes; Jessica Gurevitch (2020). Quantification of Food Waste Disposal in the United States: A Meta-Analysis [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fedi%2F553%2F1
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    Dataset updated
    Jul 8, 2020
    Dataset provided by
    Environmental Data Initiative
    Authors
    Krista L. Thyberg; David J. Tonjes; Jessica Gurevitch
    Time period covered
    Jan 1, 1989 - Jan 1, 2013
    Area covered
    Variables measured
    ID, Year, Scale, State, Region, Season, Population, Study_Name, No_of_Samples, Sub_State_Region, and 7 more
    Description

    This data set is the result of a systematic review of studies on food waste disposed in the United States, an issue which major consequences for social, nutritional, economic, and environmental issues. It was created to determine how much food is discarded in the U.S., and to determine if specific factors drive increased disposal. By applying meta-analytic tools on it this dataset, it was found that the aggregate proportion of food waste in U.S. municipal solid waste from 1995 to 2013 was 0.147 (95% CI 0.137–0.157) of total disposed waste, which is lower than that estimated by U.S. Environmental Protection Agency for the same period (0.176). Further, that the proportion of food waste increased significantly with time, and there were no significant differences in food waste between rural and urban samples, or between commercial/institutional and residential samples. These results are published in the study titled Quantification of Food Waste Disposal in the United States: A Meta-Analysis (Thyberg et al., 2015).

  15. U.S. food waste weight by source 2017

    • statista.com
    Updated Feb 6, 2023
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    Statista (2023). U.S. food waste weight by source 2017 [Dataset]. https://www.statista.com/statistics/694148/volume-of-food-waste-by-source-us/
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    Dataset updated
    Feb 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United States
    Description

    This statistic represents the weight of food waste in the United States in 2017, with a breakdown by source. As of that time, the residential sector generated approximately 39.6 million wet tons of food waste.

  16. Data from: Cost-effectiveness of four food waste interventions: is food...

    • figshare.com
    xlsx
    Updated Nov 17, 2020
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    Quentin Read; Mary Muth (2020). Data from: Cost-effectiveness of four food waste interventions: is food waste reduction a "win-win?" [Dataset]. http://doi.org/10.6084/m9.figshare.13244438.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 17, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Quentin Read; Mary Muth
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data archived here are the raw data required to reproduce all analysis presented in a manuscript currently in press at Resources, Conservation & Recycling.Read, Q. D. & Muth, M. K. (2020). Cost-effectiveness of four food waste interventions: is food waste reduction a "win-win?" Resources, Conservation & Recycling, in press.This dataset is intended for use with the code archived at https://doi.org/10.5281/zenodo.4021655 . Please refer to the README.md file in that repository for instructions on how to download the data and reproduce the analysis.The data archived in this repository are from a variety of different sources. As much as is practicable, they are presented here in their raw form as they were downloaded, without any processing. All processing steps can be replicated using the code archived in the accompanying code repository.Abstract of manuscriptAt least 30% of food is wasted during the journey from farm to processor to retailer to consumer in the United States, accounting for an estimated 20% of the environmental impact of the food system. The food waste problem is well characterized, but solutions are not: there has been little rigorous comparison of the costs and potential benefits of food waste reduction interventions. Food waste reduction is often described as a “win-win,” benefiting consumers, the environment, and businesses’ bottom line. We present a method for evaluating this claim by accounting for the costs and environmental benefits of food waste reduction. The procedure involves assembling data on costs and efficacy of the intervention, scaling the costs up to the national level, estimating the quantity and value of food waste averted, and finally estimating the potential averted environmental impact. We apply our method to four representative nationwide interventions: consumer education and public awareness campaigns, spoilage prevention packaging for produce and meat, standardization of date labels, and foodservice waste tracking systems. The estimated annual cost of each intervention varied from $126 to $595 million. The environmental cost-effectiveness of the interventions varied two- to threefold (for example, 6 to 16 kg CO2 reduced per $1 invested). Outstanding questions include how to scale interventions to the national level and how to address the mismatch between who incurs the costs of implementation and who benefits. Our method can be adapted to waste interventions across the food system and in countries beyond the United States.

  17. Food Waste Management Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Food Waste Management Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/food-waste-management-software-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Food Waste Management Software Market Outlook



    The global food waste management software market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 3.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% from 2024 to 2032. The significant growth in this market is driven by increasing awareness about food waste, stringent government regulations, and the adoption of advanced technologies for efficient food waste management.



    One of the key growth factors propelling the food waste management software market is the rising global concern over food waste and its environmental impact. With approximately one-third of all food produced for human consumption wasted globally, there is a compelling need for efficient solutions to tackle this issue. Governments and organizations are increasingly recognizing that effective food waste management can mitigate environmental damage, save resources, and improve food security. This awareness has led to the adoption of sophisticated software solutions designed to streamline food waste tracking, reduction, and management processes.



    The implementation of stringent regulations and policies by governments worldwide is another critical driver for the market. For instance, the European Union has set ambitious targets to reduce food waste by 50% by 2030, while countries like France and the United Kingdom have introduced laws that mandate businesses to donate unsold food. Such regulatory initiatives are compelling businesses to adopt food waste management software to comply with legal requirements, thus boosting market growth. These regulations not only encourage businesses to reduce waste but also foster collaboration across the food supply chain to achieve sustainable practices.



    Advancements in technology are further catalyzing the growth of the food waste management software market. The integration of Internet of Things (IoT) devices, Artificial Intelligence (AI), and data analytics into food waste management solutions has revolutionized the way food waste is monitored and managed. These technologies enable real-time tracking of food waste, predictive analytics for waste reduction, and efficient resource allocation. The ability to analyze large datasets and derive actionable insights allows businesses to implement proactive measures, thereby reducing food waste and optimizing operations. This technological evolution is expected to continue driving market expansion over the forecast period.



    Regionally, North America is anticipated to hold a significant share of the food waste management software market, owing to the presence of major market players, advanced technological infrastructure, and supportive government policies. The region's proactive stance on sustainability and waste reduction, coupled with the high adoption rate of innovative technologies, positions it as a key market for food waste management solutions. Additionally, Europe and Asia Pacific are also expected to witness substantial growth, driven by increasing regulatory pressures and rising consumer awareness about food waste issues.



    Component Analysis



    The food waste management software market can be segmented by component into software and services. The software segment includes various types of applications designed to track, monitor, and manage food waste across different stages of the supply chain. These software solutions offer features such as data analytics, reporting, and integration with other systems to provide comprehensive waste management capabilities. The growing demand for such sophisticated software solutions is driven by the need for real-time tracking, predictive analytics, and enhanced operational efficiency. As businesses continue to seek ways to optimize their waste management processes, the software segment is expected to witness robust growth.



    On the other hand, the services segment encompasses consulting, implementation, training, and support services provided alongside the software solutions. These services are crucial for ensuring the successful deployment and operation of food waste management software. Consulting services help organizations assess their waste management needs and design customized solutions, while implementation services ensure seamless integration of the software with existing systems. Training and support services are essential for educating users on how to effectively utilize the software and address any issues that may arise. The demand for these services is likely to grow in tandem with the increasing adoption of food waste management software, as organizations seek to maximize the

  18. f

    Summary statistics by eating occasion (meals and snacks).

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Brian E. Roe; Danyi Qi; John W. Apolzan; Corby K. Martin (2023). Summary statistics by eating occasion (meals and snacks). [Dataset]. http://doi.org/10.1371/journal.pone.0238050.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Brian E. Roe; Danyi Qi; John W. Apolzan; Corby K. Martin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics by eating occasion (meals and snacks).

  19. d

    Data for: Of the first five US states with food waste bans, Massachusetts...

    • search.dataone.org
    • datadryad.org
    Updated Aug 28, 2024
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    Fiorentia Zoi Anglou; Robert Evan Sanders; Ioannis Stamatopoulos (2024). Data for: Of the first five US states with food waste bans, Massachusetts alone has reduced landfill waste [Dataset]. http://doi.org/10.5061/dryad.bzkh189h4
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    Dataset updated
    Aug 28, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Fiorentia Zoi Anglou; Robert Evan Sanders; Ioannis Stamatopoulos
    Time period covered
    Jan 1, 2024
    Description

    Diverting food waste from landfills is crucial to reduce emissions and meet Paris Agreement targets. Between 2014 and 2024, nine US states banned commercial waste generators---such as grocery chains---from landfilling food waste, expecting a 10–15% waste reduction. However, no evaluation of these bans exists. We compile a comprehensive waste dataset covering 36 US states between 1996 and 2019 to evaluate the first five implemented state-level bans. Contrary to policymakers' expectations, we can reject aggregate waste reductions higher than 3.2%, and cannot reject a zero-null aggregate effect. Moreover, we cannot reject a zero-null effect for any other state except Massachusetts, which gradually achieved a 13.2% reduction. Our findings reveal the need to reassess food waste bans, using Massachusetts as a benchmark for success., The raw data for this paper have been received by individual states in PDF or Excel files. (For each state there might be several PDF or Excel files for each year.) In the data we uploaded on GitHub, we transferred these raw data (the various pdfs and excels) into a single CSV file and have created a standardized waste outcome---specifically, state-generated, municipal solid waste (MSW) disposal. In the README file, we include more details regarding all the other supporting data and code we have used., , # Data for: Of the first five US states with food waste bans, Massachusetts alone has reduced landfill waste

    https://doi.org/10.5061/dryad.bzkh189h4

    In this repository, we provide all the data and necessary information for replication of our paper titled "Of the first five US states with food waste bans, Massachusetts alone has reduced landfilled waste". We include all the raw data and software we used to produce all tables and figures in this paper. Additionally, for easy replication, we include some outputs generated by our code, such as power analysis results. These are available in the "Data from Code" section.

    Raw data

    1. Waste data: includes all the data we use for our analysis (power2_impexp.csv)
      • Note: in this file "disposal" refers to state-generated MSW for disposal. That is, we have (i) used only the MSW fraction of the total waste and (ii) excluded the imported waste and included waste exports. (For more details, please se...
  20. T

    United States Imports from China of Residues, wastes of food industry,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 7, 2020
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    TRADING ECONOMICS (2020). United States Imports from China of Residues, wastes of food industry, animal fodder [Dataset]. https://tradingeconomics.com/united-states/imports/china/residues-wastes-food-industry-animal-fodder
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Feb 7, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from China of Residues, wastes of food industry, animal fodder was US$271.32 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China of Residues, wastes of food industry, animal fodder - data, historical chart and statistics - was last updated on July of 2025.

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Statista (2025). Food waste generated in the United States 2016-2019 [Dataset]. https://www.statista.com/statistics/1386235/amount-of-food-waste-generated-in-the-united-states/
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Food waste generated in the United States 2016-2019

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Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The volume of food waste generated in the United States has been growing since 2016. In 2019, ***** million tons of food waste were generated in the country. This is an increase of almost **** million tons compared to the food waste generated in 2016.

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