China and India, the world's most populous countries in the world, were some of the largest producers of food waste, with an estimated *** million and ** million metric tons in 2022, respectively. It is estimated that per capita food waste production is highest in Western Asia and Sub-Saharan Africa. Sources of food waste The global population produced approximately *********** metric tons of food waste in 2022. This represented roughly ** percent of total food made available. Household food waste was the main source of food waste that year, accounting for ** percent of the total. The second main source of food waste was the foodservice sector. Why is food waste such a problem? Food waste has many societal impacts. It not only costs the global economy hundreds of billions of dollars every year and depletes resources, but it also harms the environment and contributes to the climate crisis. When food waste is dumped at landfill sites it rots and produces large volumes of methane – a potent greenhouse gas. Food waste accounts for an estimated **** percent of global food system greenhouse gas emissions, which in 2015 totaled **** billion metric tons of CO2 equivalent.

Food losses and food waste (FLW) have become a global concern in recent years and emerge as a priority in the global and national political agenda (e.g., with Target 12.3 in the new United Nations Sustainable Development Goals). A good understanding of the availability and quality of global FLW data is a prerequisite for tracking progress on reduction targets, analyzing environmental impacts, and exploring mitigation strategies for FLW. There has been a growing body of literature on FLW quantification in the past years; however, significant challenges remain, such as data inconsistency and a narrow temporal, geographical, and food supply chain coverage. In this paper, we examined 202 publications which reported FLW data for 84 countries and 52 individual years from 1933 to 2014. We found that most existing publications are conducted for a few industrialized countries (e.g., the United Kingdom and the United States), and over half of them are based only on secondary data, which signals high uncertainties in the existing global FLW database. Despite these uncertainties, existing data indicate that per-capita food waste in the household increases with an increase of per-capita GDP. We believe that more consistent, in-depth, and primary-data-based studies, especially for emerging economies, are badly needed to better inform relevant policy on FLW reduction and environmental impacts mitigation.

Description:

There is growing recognition that human-provided food resources are becoming increasingly available to animals across the globe (Oro et al., 2013). The food resources that are wasted by humans have influenced predators’ ecology and behavior and can indirectly affect their co-occurring species, leading to mostly negative ecological effects (Newsome et al., 2014). However, large increases have been found in the abundances of terrestrial mammalian predators such as coyotes (Canis latrans), cats (Felis catus) and red foxes (Vulpes vulpes), which are associated with their access to waste foods provided by humans (Denny et al., 2002; Fedriani et al., 2001; Shapira et al., 2008). Therefore, under anthropogenic global changes where human activities are continually expanding, a spatially explicit data for waste foods is essential to assessing the ecological effects of anthropogenic food subsidies to species occurrences and abundances.

The repository contains a global dataset consisting of four different variables to depict anthropogenic food waste index: household food waste (tons/year), food service food waste (tons/year), retail food waste (tons/year), and total human-provided food waste (tons/year). To produce the dataset, I first allocated the food waste estimates (kg/capita/year) to 30 arc-second grid cells for each county. The food waste estimates for 2021 were generated by normalizing different food waste measurements to a single metric (i.e., kg/capita/year), accounting for known biases or different scopes of measurement, and aggregating a series of studies or observations if multiple observations existed in a geographic entity of interest (United Nations Environment Programme 2021). The food waste estimates were then multiplied by the estimated population count for 2021 produced by Sims et al. 2022. The data files were produced as global rasters at 30 arc-second (~1km at the equator) resolution in geotiff format under WGS 84 geographical coordinate system.

Keywords: Anthropogenic food subsidies, human-provided food wastes, household food waste, food service food waste, retail food waste, food availability, anthropogenic global changes, human activities

Reference:

United Nations Environment Programme (2021). Food Waste Index Report 2021. Nairobi.

Denny, E., Yaklovlevich, P., Eldridge, M.D.B. & Dickman, C.R. (2002) Social and genetic analysis of a population of free-living cats (Felis catus L.) exploiting a resource-rich habitat. Wildlife Research, 29, 405–413.

Fedriani, J.M., Fuller, T.K. & Sauvajot, R.M. (2001) Does availability of anthropogenic food enhance densities of omnivorous mammals? An example with coyotes in southern California. Ecography, 24, 325–331.

Newsome, T. M., Dellinger, J. A., Pavey, C. R., Ripple, W. J., Shores, C. R., Wirsing, A. J., & Dickman, C. R. (2015). The ecological effects of providing resource subsidies to predators. Global Ecology and Biogeography, 24, 1-11.

Oro, D., Genovart, M., Tavecchia, G., Fowler, M. S., & Martínez‐Abraín, A. (2013). Ecological and evolutionary implications of food subsidies from humans. Ecology letters, 16(12), 1501-1514.

Shapira, I., Sultan, H. & Shanas, U. (2008) Agricultural farming alters predator–prey interactions in nearby natural habitats. Animal Conservation, 11, 1–8.

Sims, K., Reith, A., Bright, E., McKee, J., & Rose, A. (2022). LandScan Global 2021 [Data set]. Oak Ridge National Laboratory. https://doi.org/10.48690/1527702.

Food wastage is a significant global issue affecting both economies and sustainability.
This dataset provides insights into food waste trends across different countries from 2018 to 2024, categorized by food type, economic loss, and per capita waste.
It is a valuable resource for data analysts, policymakers, and sustainability researchers.

📌 Use this dataset for:
✅ Exploratory Data Analysis (EDA)
✅ Data Visualization Projects 📊
✅ Predictive Modeling & ML Algorithms 🤖
✅ Food Sustainability Research 🌱

💬 Got insights? Drop a comment & let's discuss! 🚀

Introduction

Food Waste Statistics: Food statistics offer valuable insights into the global production, consumption, distribution, and trade of food products. They cover a broad spectrum of data, including agricultural yields, food availability, nutritional consumption, price trends, and indicators of food security. Reliable and up-to-date food statistics are crucial for policymakers, industry stakeholders, and researchers to understand market trends, identify challenges in supply chains, and address issues such as hunger and malnutrition.

The significance of food statistics has increased notably in recent years, driven by factors such as the growing global population, evolving dietary habits, and the impact of climate change on agricultural output. These data points enable the monitoring of fluctuations in food demand and supply, the assessment of price instability, and the evaluation of policy impacts. Furthermore, food statistics underpin sustainable development initiatives by guiding efforts to improve food safety, minimize waste, and strengthen the resilience of global food systems.

Food Waste Management Market size was valued at USD 42.15 Billion in 2024 and is projected to reach USD 60.64 Billion by 2031, growing at a CAGR of 4.65% during the forecast period 2024-2031.

Global Food Waste Management Market Drivers

The market drivers for the Food Waste Management Market can be influenced by various factors. These may include:

Environmental Concerns: The adoption of food waste management systems is being driven by a growing awareness of environmental issues, including climate change, and the substantial environmental footprint of food waste. Governments and businesses are concentrating more on encouraging sustainability and cutting waste. Regulatory Pressures: To reduce food waste and promote sustainable waste management techniques, governments all over the world are putting laws and policies into effect. These laws frequently have goals for recycling and trash reduction, which encourages firms to use food waste management solutions Economic Incentives: Businesses across the food supply chain suffer large financial losses as a result of food waste. By recovering and reusing food waste, companies can possibly generate new revenue streams while also cutting trash disposal expenses by putting into place efficient food waste management procedures. Growing Urbanisation and Shifting Lifestyles: As a result of rising urbanisation and shifting consumer habits, there is a greater demand for food, which raises food waste levels. Food waste management solutions are in high demand as a result of this trend, especially in urban areas where the infrastructure for managing garbage is frequently under stress. Technological Developments: More effective and efficient methods of managing food waste are being made possible by developments in technology, including machine learning, data analytics, and Internet of Things sensors. These tools assist companies in identifying areas for improvement, monitoring and managing food waste more effectively, and making the most use of their resources. Corporate Social Responsibility (CSR): To show their dedication to social and environmental responsibility, many businesses are integrating sustainability and food waste reduction programmes into their CSR plans. Investments in food waste management technologies are being driven by this emphasis on sustainability in a number of industries. Consumer knowledge and Demand: Businesses are being influenced to give food waste reduction and management top priority by consumers' growing knowledge of food waste issues and their demand for sustainable products and practices. In response, businesses are putting measures into place to reduce waste at every stage of the supply chain and informing customers about these initiatives.

This feature layer represents food loss (tonnes) at County level. The layer has been developed as a proxy to represent SDG 12.3.1 'Global Food Loss Index' for Ireland. Food waste data were produced by the Clean Technology Centre (Cork Institute of Technology) and broken down geographically by the Central Statistics Office. Attributes include commercial food loss (tonnes) and domestic food loss (tonnes).In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 12 which aims to ensure sustainable consumption and production patterns.

The Food Waste App market has emerged as a vital component in the fight against food waste, which is a pressing global issue resulting in environmental, economic, and social challenges. With consumers and businesses increasingly recognizing the impacts of waste on the planet, food waste applications are designed to

103616 Global import shipment records of Food waste with prices, volume & current Buyer’s suppliers relationships based on actual Global import trade database.

The Food Waste Collection and Recycling market plays a pivotal role in addressing the ever-increasing issue of food waste, which accounts for approximately one-third of all food produced globally. As awareness of sustainability continues to rise, both consumers and businesses are seeking effective ways to minimize t

The Food Waste Reduction Systems market has emerged as a crucial sector aimed at mitigating the alarming levels of food waste generated globally. With an estimated one-third of all food produced for human consumption going to waste, innovations in this area are not only essential for sustainability but also for impr

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

Hong Kong SAR (China) Exports: Australia: Food Waste data was reported at 0.050 HKD mn in Jul 2024. This records a decrease from the previous number of 0.099 HKD mn for May 2022. Hong Kong SAR (China) Exports: Australia: Food Waste data is updated monthly, averaging 0.185 HKD mn from Jan 2012 (Median) to Jul 2024, with 31 observations. The data reached an all-time high of 0.719 HKD mn in Nov 2012 and a record low of 0.003 HKD mn in Dec 2013. Hong Kong SAR (China) Exports: Australia: Food Waste data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.JA008: Exports: by Country and Commodity: by 2 Digit HS Code.

7408 Global export shipment records of Food,waste,disposal with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This statistic represents the per capita waste of edible food worldwide from 2010 to 2015, with a breakdown by sector. In 2015, roughly **** kilograms of edible food per capita were thrown away in households.

Dataset Introduction: This dataset tracks daily food consumption, raw ingredient usage, and food waste patterns from an Indian vegetarian household. Collected from June 2023 to April 2025, it includes both prepared meals and raw materials (like vegetables, grains, and spices). The dataset reflects real-world household practices, showcasing food waste due to spoilage, overcooking, leftovers, and other factors. It also includes inconsistencies often found in real-world data, such as missing values and entry errors, making it ideal for data cleaning and preprocessing tasks.

Use Cases: Data Cleaning & Preprocessing: Practice handling missing values, inconsistencies, and outliers.

Sustainability Analysis: Analyze food waste patterns and trends to propose sustainable practices in Indian households.

Data Visualization: Create visualizations to understand food consumption, waste categories, and cost trends.

Waste Reduction Insights: Derive actionable insights to help reduce food waste at the household level.

Predictive Modeling: Build models to predict food consumption patterns and potential waste based on past behavior.

Hong Kong SAR (China) Exports: Germany: Food Waste data was reported at 0.029 HKD mn in Aug 2022. This records an increase from the previous number of 0.014 HKD mn for Nov 2021. Hong Kong SAR (China) Exports: Germany: Food Waste data is updated monthly, averaging 0.194 HKD mn from Apr 2012 (Median) to Aug 2022, with 28 observations. The data reached an all-time high of 1.144 HKD mn in May 2014 and a record low of 0.001 HKD mn in May 2016. Hong Kong SAR (China) Exports: Germany: Food Waste data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.JA008: Exports: by Country and Commodity: by 2 Digit HS Code.