12 datasets found
  1. Detailed household expenditure by disposable income decile group: Table 3.1

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Jan 24, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2019). Detailed household expenditure by disposable income decile group: Table 3.1 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/detailedhouseholdexpenditurebydisposableincomedecilegroupuktable31
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 24, 2019
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

  2. Cost of Christmas dinner from major supermarkets in the United Kingdom 2023

    • statista.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Cost of Christmas dinner from major supermarkets in the United Kingdom 2023 [Dataset]. https://www.statista.com/statistics/643922/cost-of-christmas-dinner-united-kingdom-uk/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 6, 2023 - Nov 27, 2023
    Area covered
    United Kingdom
    Description

    In the United Kingdom (UK) in 2023, **** was the cheapest food retailer to purchase Christmas dinner from. Ingredients for a Christmas dinner from Aldi cost an average of ***** British pounds, followed closely by Lidl at ***** British pounds. Christmas dinner favorites A 2023 survey showed that the majority of UK consumers intended to have roast potatoes as a part of their Christmas dinner. Roast potatoes were the most popular dish by far. Turkey was the most popular meat, with about ** percent of consumers saying they were planning to eat it on Christmas. Christmas spending Although gifts comprise the majority of Christmas spending in the UK, food is still a significant expenditure for many adults. In 2022, food and drink were the second-largest expense after gifts: average household expenditure on food and drink during the Christmas period reached *** British pounds. On average, consumers spent the same amount on socializing as food and beverages. London's consumers spent the most during Christmas, with just over *** British pounds spent per person.

  3. w

    Wholesale fruit and vegetable prices

    • gov.uk
    Updated Jul 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Environment, Food & Rural Affairs (2025). Wholesale fruit and vegetable prices [Dataset]. https://www.gov.uk/government/statistical-data-sets/wholesale-fruit-and-vegetable-prices-weekly-average
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    This series gives the average wholesale prices of selected home-grown horticultural produce in England and Wales. These are averages of the most usual prices charged by wholesalers for selected home-grown fruit, vegetables and cut flowers at the wholesale markets in Birmingham, Bristol, Manchester and a London Market (New Spitalfields or Western International). This publication is updated fortnightly.

    https://assets.publishing.service.gov.uk/media/686798f7dd1a7e01559e6d9c/fruitveg-currentweek-070725.ods">Current week prices

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">19.2 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/68679903e4184a43f9785c6d/fruitveg-weeklyhort-070725.ods">Weekly price time series, 2015 to 2025

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">389 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

  4. Inflation rate in the UK 2015-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Inflation rate in the UK 2015-2025 [Dataset]. https://www.statista.com/statistics/306648/inflation-rate-consumer-price-index-cpi-united-kingdom-uk/
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - May 2025
    Area covered
    United Kingdom
    Description

    The UK inflation rate was 3.4 percent in May 2025, down from 3.5 percent in the previous month, and the fastest rate of inflation since February 2024. Between September 2022 and March 2023, the UK experienced seven months of double-digit inflation, which peaked at 11.1 percent in October 2022. Due to this long period of high inflation, UK consumer prices have increased by over 20 percent in the last three years. As of the most recent month, prices were rising fastest in the communications sector, at 6.1 percent, but were falling in both the furniture and transport sectors, at -0.3 percent and -0.6 percent respectively.
    The Cost of Living Crisis High inflation is one of the main factors behind the ongoing Cost of Living Crisis in the UK, which, despite subsiding somewhat in 2024, is still impacting households going into 2025. In December 2024, for example, 56 percent of UK households reported their cost of living was increasing compared with the previous month, up from 45 percent in July, but far lower than at the height of the crisis in 2022. After global energy prices spiraled that year, the UK's energy price cap increased substantially. The cap, which limits what suppliers can charge consumers, reached 3,549 British pounds per year in October 2022, compared with 1,277 pounds a year earlier. Along with soaring food costs, high-energy bills have hit UK households hard, especially lower income ones that spend more of their earnings on housing costs. As a result of these factors, UK households experienced their biggest fall in living standards in decades in 2022/23. Global inflation crisis causes rapid surge in prices The UK's high inflation, and cost of living crisis in 2022 had its origins in the COVID-19 pandemic. Following the initial waves of the virus, global supply chains struggled to meet the renewed demand for goods and services. Food and energy prices, which were already high, increased further in 2022. Russia's invasion of Ukraine in February 2022 brought an end to the era of cheap gas flowing to European markets from Russia. The war also disrupted global food markets, as both Russia and Ukraine are major exporters of cereal crops. As a result of these factors, inflation surged across Europe and in other parts of the world, but typically declined in 2023, and approached more usual levels by 2024.

  5. Online Food Ordering & Delivery Platforms in the UK - Market Research Report...

    • ibisworld.com
    Updated Oct 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2024). Online Food Ordering & Delivery Platforms in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/online-food-ordering-delivery-platforms-industry/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Over the five years through 2024-25, online food ordering and delivery platforms revenue is anticipated to rise at a compound annual rate of 15.2%. Meal stipends and sales from commercial markets are rising as workers return to the office and the workload increases. Time-poor consumers increasingly turn to food ordering and delivery platforms for convenient, quick and high-quality food.Growing demand from food outlets has enabled platforms to expand their food range. In particular, restaurants and takeaways have joined online food platforms to gain access to a broader consumer base and greater exposure with little additional expenditure. Nevertheless, platforms continue to face numerous challenges, primarily in the form of pricing pressures, employment litigation and waning demand as consumer confidence stumble, despite inflation dropping. However, the ultra-rapid grocery segment offers a degree of relief. In 2024-25, revenue is expected to grow by 5% to £3.8 billion, while the average industry profit margin is slated to be 6.3%.Over the five years through 2029-30, revenue is forecast to grow at a compound annual rate of 2.9% to reach £4.4 billion. Increasingly busy consumer lifestyles will continue to raise demand and convenience will remain king. Demand from restaurants and takeaways is anticipated to follow an upward trajectory as food outlets seek the benefits of increased exposure and wider market reach at little extra cost. The range of cuisines and products will remain important and platforms can boost interest by targeting niche markets and personalising content. More members of Gen Z will enter the workforce and become a significant source of spending power.

  6. Avoidable food and drink waste: cost to per households of in the UK 2012, by...

    • statista.com
    Updated Apr 29, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Avoidable food and drink waste: cost to per households of in the UK 2012, by size [Dataset]. https://www.statista.com/topics/4930/food-and-drink-waste-in-the-united-kingdom-uk/
    Explore at:
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    This statistic shows the cost per household of avoidable food and drink waste in the United Kingdom in 2012, by household size. In 2012, 3 person households wasted on average 640 British pounds of food and drink.

  7. HCI inflation rate in the UK 2022-2024, by household income

    • statista.com
    Updated Feb 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). HCI inflation rate in the UK 2022-2024, by household income [Dataset]. https://www.statista.com/topics/9121/cost-of-living-crisis-uk/
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The housing costs inflation rate for low-income households in the United Kingdom was noticeably higher than that of high-income ones between April 2022 and April 2023, during a serious cost of living crisis in the UK. As of June 2024, however, the inflation rate for high-income households was higher than that of middle or low incomes ones.

  8. HCI inflation rate in the UK 2023-2024, by income decile

    • statista.com
    Updated Feb 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). HCI inflation rate in the UK 2023-2024, by income decile [Dataset]. https://www.statista.com/topics/9121/cost-of-living-crisis-uk/
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    In June 2024, the household cost inflation rate (HCI) for low-income households in the United Kingdom was 1.7 percent, compared with 2.3 percent for middle-income households, and 3.3 percent for high-income households. Unlike other measures of inflation such as the consumer price index (CPI) the HCI isn't based on a fixed basket of goods, but is weighted to show how price changes affect different households by their economic status.

  9. c

    Household Simulation Model: A Dataset for Evaluating Interventions to Reduce...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martin Torrejon, V, City; Kandemir, C (2025). Household Simulation Model: A Dataset for Evaluating Interventions to Reduce Packaging and Chicken Waste in UK Households, 2021-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-856483
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset provided by
    The University of Sheffield
    University of London
    Authors
    Martin Torrejon, V, City; Kandemir, C
    Time period covered
    Jan 1, 2021 - Sep 28, 2023
    Area covered
    United Kingdom
    Variables measured
    Household
    Measurement technique
    The Household Simulation Model was developed using a Discrete Event Simulation approach to simulate the behavior of various household archetypes in response to different market and consumer interventions. The input files were created using Excel and contain multiple tabs, each representing a specific aspect of the simulation: input market, input initial, input storing, input purchase, input consumption and input expiry. Each scenario was run using different input values to simulate the effect of the intervention on the amount of packaging and chicken waste generated. The output results were generated in the tab ‘Results A’ in the input files and were then analysed and summarised in a pivot table for visualization and comparison.
    Description

    This dataset provides the input files and results for the new Household Simulation Model, which explores the impact of four interventions on the amount of packaging and chicken waste generated in UK households. The interventions studied include pack size availability in the market shelves (PCK), shelf life extension for unopened and opened chicken packs (SFH), food portioning in households (PRT), and the likelihood of checking storage and writing a shopping list before the main shopping event (LST). The dataset is organised into four folders, each representing an intervention, with subfolders containing input files for different scenarios and a summary file with the results. The provided data can be used to analyse the effectiveness of various strategies in reducing packaging and food waste and to inform policy-making and consumer behavior change efforts.

    THE PROBLEM Plastic packaging waste is a major issue that has recently entered public consciousness, with the British government committing to a 25-year plan that would phase out disposable packaging by 2042. Around 41% of plastic packaging is used for food, with the UK generating 1 million tonnes per year of packaging waste. Food packaging has had a 1844% increase in recycling since 2007, yet still only one third of food packaging is currently recycled [3]. Currently many consumers are boycotting plastic packaging. However, this is leading to a rise in food waste (and foodborne illness risk) due to decreased shelf life. Up to a third of the resources used to produce food could be saved by eliminating food waste [1]. In the UK, approximately 10 million tonnes of food are wasted every year, with the average family (i.e. a household containing children) spending £700 a year on food that is wasted. 31% of avoidable household food waste (1.3 million tonnes), is caused by a mismatch of packaging, pack, and portion size, and household food habits [2]. Plastic pollution and food waste can be reduced through product re-design and other household interventions. However, there is little evidence to determine the best solutions to reduce plastic pollution and food waste. The food industry and consumers have a variety of possible solutions, but no way of knowing the impacts and unintended consequences (without costly, time consuming trials and measurement). This is a major barrier to empowering the food system to enable the rapid reduction of plastic waste.

    THE VISION This project reduces plastic pollution (and food waste) by providing a decision support tool to trigger action in the food industry and by consumers. Evidence concerning plastic and food waste reduction (and trade-offs with cost, and environmental impacts) will be generated by updating the Household Simulation Model (HHSM). The HHSM was piloted by the University of Sheffield and WRAP (the Waste & Resources Action Programme) to model the impacts of food product innovation quickly, to enable manufacturers to select the best innovations and interventions, and to prioritise their development and deployment. This project will incorporate into the current HHSM, data on 1) plastic packaging options and composition (from Valpak/WRAP), 2) household behavioural insights around packaging (single and reuse options) and food (provided by UoS/WRAP), with specific fresh produce data (from Greenwich) 3) plastic in the supply chain and environmental impacts (via SCEnATi- a big data analytics tool of the food supply chain processes (provided by Sheffield).

    The updated HHSM will enable the quantification of plastic and food waste reduction, and the environmental and monetary trade-offs of various solutions. This will be done by developing an optimization engine and integrating it with the updated HHSM which will further the simulation optimization methodology with the findings from applying developed meta-heuristic algorithms to this problem. Possible solutions include offering consumers different pack sizes, or changing packaging type/shape/reusability/durability. The most successful solutions will be translated into consumer and industry guidance focusing on the top 30 foods linked to the highest waste and tradeoff potential. This will enable rapid product and food system redesign. This guidance will be open access, and deployed through WRAP and global industry networks, and open access web tools.

    WRAP is coordinating the voluntary agreements UK Plastics Pact and the Courtauld Commitment 2025 (focused on food waste and carbon reduction). This allows rapid scaling of the HHSM outputs throughout the UK.

    References: [1] Institution of Mechanical Engineers, "Global food - Waste not, want not" London, 2013 [2] Quested, T. E., et al. "Spaghetti soup: The complex world of food waste behaviours." RCR 79 (2013): 43-51. [3] Recoup 2018, UK Household Plastics Collection

  10. c

    Household Simulation Model: A Dataset for Evaluating Interventions to Reduce...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Guo, R; Martin Torrejon, V, City; Reynolds, C, City (2025). Household Simulation Model: A Dataset for Evaluating Interventions to Reduce Packaging and Mushroom Waste in UK Households, 2021-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-856826
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    The University of Sheffield
    University of London
    Authors
    Guo, R; Martin Torrejon, V, City; Reynolds, C, City
    Time period covered
    Jan 1, 2021 - Mar 31, 2024
    Area covered
    United Kingdom
    Variables measured
    Household
    Measurement technique
    The Mushrooms Household Simulation Model was developed using a Discrete Event Simulation approach to simulate the behaviour of various household archetypes in response to different market and consumer interventions. The input files were created using Excel and contain multiple tabs, each representing a specific aspect of the simulation: input initial, input degradation, input market, input storing, input purchase, input consumption and input expiry. Each scenario was run using different input values to simulate the effect of the intervention on the amount of packaging and grape waste generated. The output results were generated in the tab 'Results A' in the input files.
    Description

    This dataset provides the input files and results for the Mushrooms Household Simulation Model, which explores the impact of four interventions on the amount of packaging and mushroom (whole and sliced) waste generated in UK households. The interventions studied include storage temperature, storage and freezer use, pack size availability and packaging format (plastic packaging vs. Earth bag). The dataset is organised into four folders, each representing one interventions, with subfolders containing input files for different scenarios. This data can be used to analyse the effectiveness of various strategies in reducing packaging and food waste and to inform policymakers and consumer behavioural change efforts.

    THE PROBLEM Plastic packaging waste is a major issue that has recently entered public consciousness, with the British government committing to a 25-year plan that would phase out disposable packaging by 2042. Around 41% of plastic packaging is used for food, with the UK generating 1 million tonnes per year of packaging waste. Food packaging has had a 1844% increase in recycling since 2007, yet still only one third of food packaging is currently recycled [3]. Currently many consumers are boycotting plastic packaging. However, this is leading to a rise in food waste (and foodborne illness risk) due to decreased shelf life. Up to a third of the resources used to produce food could be saved by eliminating food waste [1]. In the UK, approximately 10 million tonnes of food are wasted every year, with the average family (i.e. a household containing children) spending £700 a year on food that is wasted. 31% of avoidable household food waste (1.3 million tonnes), is caused by a mismatch of packaging, pack, and portion size, and household food habits [2]. Plastic pollution and food waste can be reduced through product re-design and other household interventions. However, there is little evidence to determine the best solutions to reduce plastic pollution and food waste. The food industry and consumers have a variety of possible solutions, but no way of knowing the impacts and unintended consequences (without costly, time consuming trials and measurement). This is a major barrier to empowering the food system to enable the rapid reduction of plastic waste.

    THE VISION This project reduces plastic pollution (and food waste) by providing a decision support tool to trigger action in the food industry and by consumers. Evidence concerning plastic and food waste reduction (and trade-offs with cost, and environmental impacts) will be generated by updating the Household Simulation Model (HHSM). The HHSM was piloted by the University of Sheffield and WRAP (the Waste & Resources Action Programme) to model the impacts of food product innovation quickly, to enable manufacturers to select the best innovations and interventions, and to prioritise their development and deployment. This project will incorporate into the current HHSM, data on 1) plastic packaging options and composition (from Valpak/WRAP), 2) household behavioural insights around packaging (single and reuse options) and food (provided by UoS/WRAP), with specific fresh produce data (from Greenwich) 3) plastic in the supply chain and environmental impacts (via SCEnATi- a big data analytics tool of the food supply chain processes (provided by Sheffield). The updated HHSM will enable the quantification of plastic and food waste reduction, and the environmental and monetary trade-offs of various solutions. This will be done by developing an optimization engine and integrating it with the updated HHSM which will further the simulation optimization methodology with the findings from applying developed meta-heuristic algorithms to this problem. Possible solutions include offering consumers different pack sizes, or changing packaging type/shape/reusability/durability. The most successful solutions will be translated into consumer and industry guidance focusing on the top 30 foods linked to the highest waste and tradeoff potential. This will enable rapid product and food system redesign. This guidance will be open access, and deployed through WRAP and global industry networks, and open access web tools. WRAP is coordinating the voluntary agreements UK Plastics Pact and the Courtauld Commitment 2025 (focused on food waste and carbon reduction). This allows rapid scaling of the HHSM outputs throughout the UK.

  11. c

    Reducing Plastic Packaging and Food Waste Through Product Innovation...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated May 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Guo, R, City; Martin Torrejon, V, City; Reynolds, C, City (2025). Reducing Plastic Packaging and Food Waste Through Product Innovation Simulation: Household Simulation Model for Mushrooms, 2021-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-857055
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset provided by
    University of London
    Authors
    Guo, R, City; Martin Torrejon, V, City; Reynolds, C, City
    Time period covered
    Jan 1, 2021 - Mar 31, 2024
    Area covered
    United Kingdom
    Variables measured
    Household
    Measurement technique
    The model integrates insights from social sciences and anthropological studies to mirror realistic consumer behaviour about mushroom consumption. This approach was reinforced with primary qualitative research, focusing on attitudes towards food waste, consumption patterns and storage practices.Additionally, the model incorporates data from sensory shelf-life evaluations, determining the visual degradation of mushrooms and the point at which they are typically deemed unfit for consumption.To ensure robustness and account for potential variations over time, the model's results are derived from an average of 60-year simulations, with each being repeated 10 times and averaged. Conducting the simulation over a span of 60 years enables us to capture long-term behaviours and trends, and the inclusion of 10 repetitions per year enhance the precision of our findings, mitigating random fluctuations that might occur in any single run. This extensive simulation approach guarantees that our results are comprehensive and reliable.
    Description

    This data collection presents the new Household Simulation Model (HHSM) specifically developed for mushrooms, using Arena software version 16.2. The primary aim of the HHSM is to offer insights into the impact of various market and consumer behavior interventions on the amount of food and packaging waste generated in households. By simulating diverse scenarios, the model enables researchers and stakeholders to understand the potential effects of different interventions on household decision-making related to chicken fillet consumption and waste generation. The data collection contains three components: the Arena simulation model (HHSM) (.doe file), an accompanying input/output data file developed in Microsoft Excel (.xlsm file), which allows users to modify input parameters and retrieve the outputs generated by the HHSM and an detailed user manual of the model (.pdf file). This data collection is a valuable resource for researchers, policy-makers, and industry professionals interested in understanding the dynamics of household consumption and waste generation related to chicken fillets, offering a powerful tool for investigating potential interventions, promoting sustainable consumption patterns, and informing future policies in the context of food waste reduction and resource optimisation.

    THE PROBLEM Plastic packaging waste is a major issue that has recently entered public consciousness, with the British government committing to a 25-year plan that would phase out disposable packaging by 2042. Around 41% of plastic packaging is used for food, with the UK generating 1 million tonnes per year of packaging waste. Food packaging has had a 1844% increase in recycling since 2007, yet still only one third of food packaging is currently recycled [3]. Currently many consumers are boycotting plastic packaging. However, this is leading to a rise in food waste (and foodborne illness risk) due to decreased shelf life. Up to a third of the resources used to produce food could be saved by eliminating food waste [1]. In the UK, approximately 10 million tonnes of food are wasted every year, with the average family (i.e. a household containing children) spending £700 a year on food that is wasted. 31% of avoidable household food waste (1.3 million tonnes), is caused by a mismatch of packaging, pack, and portion size, and household food habits [2]. Plastic pollution and food waste can be reduced through product re-design and other household interventions. However, there is little evidence to determine the best solutions to reduce plastic pollution and food waste. The food industry and consumers have a variety of possible solutions, but no way of knowing the impacts and unintended consequences (without costly, time consuming trials and measurement). This is a major barrier to empowering the food system to enable the rapid reduction of plastic waste. THE VISION This project reduces plastic pollution (and food waste) by providing a decision support tool to trigger action in the food industry and by consumers. Evidence concerning plastic and food waste reduction (and trade-offs with cost, and environmental impacts) will be generated by updating the Household Simulation Model (HHSM). The HHSM was piloted by the University of Sheffield and WRAP (the Waste & Resources Action Programme) to model the impacts of food product innovation quickly, to enable manufacturers to select the best innovations and interventions, and to prioritise their development and deployment. This project will incorporate into the current HHSM, data on 1) plastic packaging options and composition (from Valpak/WRAP), 2) household behavioural insights around packaging (single and reuse options) and food (provided by UoS/WRAP), with specific fresh produce data (from Greenwich) 3) plastic in the supply chain and environmental impacts (via SCEnATi- a big data analytics tool of the food supply chain processes (provided by Sheffield). The updated HHSM will enable the quantification of plastic and food waste reduction, and the environmental and monetary trade-offs of various solutions. This will be done by developing an optimization engine and integrating it with the updated HHSM which will further the simulation optimization methodology with the findings from applying developed meta-heuristic algorithms to this problem. Possible solutions include offering consumers different pack sizes, or changing packaging type/shape/reusability/durability. The most successful solutions will be translated into consumer and industry guidance focusing on the top 30 foods linked to the highest waste and tradeoff potential. This will enable rapid product and food system redesign. This guidance will be open access, and deployed through WRAP and global industry networks, and open access web tools. WRAP is coordinating the voluntary agreements UK Plastics Pact and the Courtauld Commitment 2025 (focused on food waste and carbon reduction). This allows rapid scaling of the...

  12. c

    Reducing Plastic Packaging and Food Waste Through Product Innovation...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Reynolds, C, City; Fayad, R (2025). Reducing Plastic Packaging and Food Waste Through Product Innovation Simulation: Household Simulation Model for Grapes, 2021-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-856554
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    The University of Sheffield
    University of London
    Authors
    Reynolds, C, City; Fayad, R
    Time period covered
    Jan 1, 2021 - Sep 28, 2023
    Area covered
    United Kingdom
    Variables measured
    Household
    Measurement technique
    The approach to the Grape Household Simulation Model (HHSM) was centred around acquiring relevant data from a broad spectrum of primary and secondary sources, thereby ensuring the authenticity and reliability of the data under examination. This integrated and multi-disciplinary data collection methodology fortified the validity of the HHSM, laying a firm foundation for investigating the impact of various market and consumer behaviour interventions on household food and packaging waste generation. The adopted data collection techniques included:1. Literature Review: An intensive literature review was undertaken to uncover the central factors that shape household consumption patterns and waste production related to grapes. This comprehensive review incorporated scholarly articles, industry-specific reports, and WRAP publications. 2. Expert Consultations: The model was refined and its underlying assumptions were verified through consultations with industry practitioners, academicians, and experts specialising in consumer behaviour, food waste reduction and food packaging. This collaborative process generated valuable insights into potential market and consumer behaviour interventions that could be examined in the context of the HHSM.3. Empirical Investigation on Visual Score: A hands-on analysis was conducted on the visual grading of grapes based on various storage parameters, such as fridge temperature, ambient temperature, and duration of grape packs remaining opened or unopened. 4. Qualitative Household Research: Primary data related to household consumption patterns, waste production, and packaging use for grapes were collected through structured online interviews. These were guided by the practice theory and household waste and consumption approaches. In addition, participating households were instructed to maintain diaries featuring photographs of their routines and practices, including purchasing behaviour, preferred storage conditions, and consumption practices.5. Data Processing and Analysis: The data collected was systematically processed and analysed to derive input parameters for the HHSM. These insights were incorporated into the model to ensure it accurately reflected and was applicable to real-world scenarios.
    Description

    This data collection presents the new Household Simulation Model (HHSM) specifically developed for grapes, using Arena software version 16.2. The primary aim of the HHSM is to offer insights into the impact of various market and consumer behavior interventions on the amount of food and packaging waste generated in households. By simulating diverse scenarios, the model enables researchers and stakeholders to understand the potential effects of different interventions on household decision-making related to grapes consumption and waste generation. The data collection contains three components: the Arena simulation model (HHSM) (.doe file), an accompanying input/output data file developed in Microsoft Excel (.xlsm file), which allows users to modify input parameters and retrieve the outputs generated by the HHSM and an detailed user manual of the model (.pdf file). This data collection is a valuable resource for researchers, policy-makers, and industry professionals interested in understanding the dynamics of household consumption and waste generation related to grapes, offering a powerful tool for investigating potential interventions, promoting sustainable consumption patterns, and informing future policies in the context of food waste reduction and resource optimisation.

    THE PROBLEM Plastic packaging waste is a major issue that has recently entered public consciousness, with the British government committing to a 25-year plan that would phase out disposable packaging by 2042. Around 41% of plastic packaging is used for food, with the UK generating 1 million tonnes per year of packaging waste. Food packaging has had a 1844% increase in recycling since 2007, yet still only one third of food packaging is currently recycled [3]. Currently many consumers are boycotting plastic packaging. However, this is leading to a rise in food waste (and foodborne illness risk) due to decreased shelf life. Up to a third of the resources used to produce food could be saved by eliminating food waste [1]. In the UK, approximately 10 million tonnes of food are wasted every year, with the average family (i.e. a household containing children) spending £700 a year on food that is wasted. 31% of avoidable household food waste (1.3 million tonnes), is caused by a mismatch of packaging, pack, and portion size, and household food habits [2]. Plastic pollution and food waste can be reduced through product re-design and other household interventions. However, there is little evidence to determine the best solutions to reduce plastic pollution and food waste. The food industry and consumers have a variety of possible solutions, but no way of knowing the impacts and unintended consequences (without costly, time consuming trials and measurement). This is a major barrier to empowering the food system to enable the rapid reduction of plastic waste.

    THE VISION This project reduces plastic pollution (and food waste) by providing a decision support tool to trigger action in the food industry and by consumers. Evidence concerning plastic and food waste reduction (and trade-offs with cost, and environmental impacts) will be generated by updating the Household Simulation Model (HHSM). The HHSM was piloted by the University of Sheffield and WRAP (the Waste & Resources Action Programme) to model the impacts of food product innovation quickly, to enable manufacturers to select the best innovations and interventions, and to prioritise their development and deployment. This project will incorporate into the current HHSM, data on 1) plastic packaging options and composition (from Valpak/WRAP), 2) household behavioural insights around packaging (single and reuse options) and food (provided by UoS/WRAP), with specific fresh produce data (from Greenwich) 3) plastic in the supply chain and environmental impacts (via SCEnATi- a big data analytics tool of the food supply chain processes (provided by Sheffield).

    The updated HHSM will enable the quantification of plastic and food waste reduction, and the environmental and monetary trade-offs of various solutions. This will be done by developing an optimization engine and integrating it with the updated HHSM which will further the simulation optimization methodology with the findings from applying developed meta-heuristic algorithms to this problem. Possible solutions include offering consumers different pack sizes, or changing packaging type/shape/reusability/durability. The most successful solutions will be translated into consumer and industry guidance focusing on the top 30 foods linked to the highest waste and tradeoff potential. This will enable rapid product and food system redesign. This guidance will be open access, and deployed through WRAP and global industry networks, and open access web tools.

    WRAP is coordinating the voluntary agreements UK Plastics Pact and the Courtauld Commitment 2025 (focused on food waste and carbon reduction). This allows rapid scaling of the HHSM...

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Office for National Statistics (2019). Detailed household expenditure by disposable income decile group: Table 3.1 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/detailedhouseholdexpenditurebydisposableincomedecilegroupuktable31
Organization logo

Detailed household expenditure by disposable income decile group: Table 3.1

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
Jan 24, 2019
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Search
Clear search
Close search
Google apps
Main menu