The volume of global food consumption has been ever-increasing since 2015. In 2021, the global consumption of food reached *** billion metric tones. Bread and cereal products were the largest category of consumption, accounting for *** million metric tons in that year.

This dataset analyzes expenditures on major consumption categories including food and different food subcategories across 114 countries. The dataset is created from USDA (United States Department of Agriculture)-Economic Research Service calculations using 2005 International Comparison Program (ICP) data.

The food market worldwide in 2024 was led by bread & cereal products, which had the highest average volume per capita at approximately ***** kilograms. Ranked second, vegetables recorded around ***** kilograms, followed by dairy products & eggs with about ***** kilograms.

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.

Incomplete or outdated versions of the dataset from the same source: - https://www.kaggle.com/datasets/dorbicycle/world-foodfeed-production - https://www.kaggle.com/datasets/sofiacosousa/meat-supply-per-person

The average per capita food consumption in the Gulf Cooperation Council in 2027 is expected to be about *** kilograms. This is a roughly 32-kilogram increase per person from 2022. Overall, food consumption per capital in the GCC is expected to rise steadily each year during this period. GCC food consumption  Historically, the per capita volume of food consumed among GCC member countries (******) has varied. Saudi Arabia, having the largest population in the GCC, makes up the greatest share of total food consumption in the council. Still, it was on the lower end of per capita consumption. Food consumption growth projections in the region differ noticeably from country to country. With growing populations and developing, and diversifying economies, food consumption is only expected to rise in the coming years. GCC food market The GCC food market revenue is worth billions each year. Although local food production is growing, most GCC member states rely on food imports to fulfill consumer demand. The distribution of food imports covers every category of food products. Additionally, multinational food conglomerates and a wide variety of Western restaurant chains have increased their footprint in the GCC. Nestled between Europe, Asia, and Africa, the GCC is well-connected and has prime access to most of the world’s fresh food supply. Nevertheless, there is also a push to be more self-sufficient. Countries like Oman, which has a strong agricultural and fishing industry, and Saudi Arabia, which has been scaling its indigenous agriculture industry, have done well in this regard. Further initiatives, such as the United Arab Emirates' cooperation with research centers in the Netherlands, are also producing promising results in innovative farming.

This data package contains information on adverse Food Events 2004 to 2018, ingredient database of dietary supplements, International Food Consumption Database and Nutrition Assistance Program Participation and Cost Database.

Russia Food Consumption per Capita: Average per Day: Proteins data was reported at 80.000 g in 2016. This records an increase from the previous number of 77.400 g for 2015. Russia Food Consumption per Capita: Average per Day: Proteins data is updated yearly, averaging 73.300 g from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 85.510 g in 1980 and a record low of 57.800 g in 1996. Russia Food Consumption per Capita: Average per Day: Proteins data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.

Dataset Name: Food Nutrition Dataset

Overview:

The Comprehensive Nutritional Food Database provides detailed nutritional information for a wide range of food items commonly consumed around the world. This dataset aims to support dietary planning, nutritional analysis, and educational purposes by providing extensive data on the macro and micronutrient content of foods.

Data Format:

The dataset is structured as a CSV (Comma-Separated Values) file, which can easily be imported into most data analysis tools and software for further processing and analysis.

Column Descriptions

1. Food: The name or type of the food item.

2. Caloric Value: Total energy provided by the food, typically measured in kilocalories (kcal) per 100 grams.

3. Fat( in g): Total amount of fats in grams per 100 grams, including the breakdowns that follow.

4. Saturated Fats( in g): Amount of saturated fats (fats that typically raise the level of cholesterol in the blood) in grams per 100 grams.

5. Monounsaturated Fats( in g): Amount of monounsaturated fats (considered heart-healthy fats) in grams per 100 grams.

6. Polyunsaturated Fats( in g): Amount of polyunsaturated fats (include essential fats your body needs but can't produce itself) in grams per 100 grams.

7. Carbohydrates( in g): Total carbohydrates in grams per 100 grams, including sugars.

8. Sugars( in g): Total sugars in grams per 100 grams, a subset of carbohydrates.

9. Protein( in g): Total proteins in grams per 100 grams, essential for body repair and growth.

10. Dietary Fiber( in g): Fiber content in grams per 100 grams, important for digestive health.

11. Cholesterol( in mg): Cholesterol content in milligrams per 100 grams, pertinent for cardiovascular health.

12. Sodium( in g): Sodium content in milligrams per 100 grams, crucial for fluid balance and nerve function.

13. Water( in g): Water content in grams per 100 grams, which affects the food’s energy density.

14. Vitamin A( in mg): Amount of Vitamin A in micrograms per 100 grams, important for vision and immune functioning.

15. Vitamin B1 (Thiamine)( in mg): Essential for glucose metabolism.

16. Vitamin B11 (Folic Acid)( in mg): Crucial for cell function and tissue growth, particularly important in pregnancy.

17. Vitamin B12( in mg): Important for brain function and blood formation.

18. Vitamin B2 (Riboflavin)( in mg): Necessary for energy production, cell function, and fat metabolism.

19. Vitamin B3 (Niacin)( in mg): Supports digestive system, skin, and nerves health.

20. Vitamin B5 (Pantothenic Acid)( in mg): Necessary for making blood cells, and helps convert food into energy.

21. Vitamin B6( in mg): Important for normal brain development and keeping the nervous and immune systems healthy.

22. Vitamin C( in mg): Important for the repair of all body tissues.

23. Vitamin D( in mg): Crucial for the absorption of calcium, promoting bone growth and health.

24. Vitamin E( in mg): Acts as an antioxidant, helping to protect cells from the damage caused by free radicals.

25. Vitamin K( in mg): Necessary for blood clotting and bone health.

26. Calcium( in mg): Vital for building and maintaining strong bones and teeth.

27. Copper( in mg): Helps with the formation of collagen, increases the absorption of iron and plays a role in energy production.

28. Iron( in mg): Essential for the creation of red blood cells.

29. Magnesium( in mg): Important for many processes in the body including regulation of muscle and nerve function, blood sugar levels, and blood pressure and making protein, bone, and DNA.

30. Manganese( in mg): Involved in the formation of bones, blood clotting factors, and enzymes that play a role in fat and carbohydrate metabolism, calcium absorption, and blood sugar regulation.

31. Phosphorus( in mg): Helps with the formation of bones and teeth and is necessary for the body to make protein for the growth, maintenance, and repair of cells and tissues.

32. Potassium( in mg): Helps regulate fluid balance, muscle contractions, and nerve signals.

33. Selenium( in mg): Important for reproduction, thyroid gland function, DNA production, and protecting the body from damage caused by free radicals and from infection.

34. Zinc( in mg): Necessary for the immune system to properly function and plays a role in cell division, cell growth, wound healing, and the breakdown of carbohydrates.

35. Nutrition Density: A metric indicating the nutrient richness of the food per calorie.

Each of these columns provides critical data that can help in understanding the nutritional content of various foods, supporting a wide range of dietary, health, and medical research applications.

Use Cases:

This dataset is invaluable for researchers in nutritional ...

Russia Food Consumption per Capita: Average per Day: Carbohydrates data was reported at 341.100 g in 2016. This records an increase from the previous number of 329.200 g for 2015. Russia Food Consumption per Capita: Average per Day: Carbohydrates data is updated yearly, averaging 349.030 g from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 405.280 g in 1980 and a record low of 323.100 g in 1996. Russia Food Consumption per Capita: Average per Day: Carbohydrates data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.

This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx

The Daily Food & Nutrition Dataset provides a detailed record of everyday food consumption paired with essential nutritional values. It is designed to support data analysis, health monitoring, and machine-learning applications related to diet, wellness, and personalized nutrition.

This dataset captures a variety of food items along with their macronutrient and micronutrient composition, enabling users to explore dietary patterns, build predictive health models, and perform nutritional optimization. It is suitable for projects involving calorie tracking, nutrient recommendation systems, diet classification, or exploratory data analysis within the field of nutrition science.

Key Features

• Food Item & Category Identifies each food entry and its general classification (e.g., fruit, vegetable, grain, beverage, snack, etc.).

• Nutritional Components Includes major nutrients that influence health and energy intake:

  • Calories (kcal)
  • Protein (g)
  • Carbohydrates (g)
  • Fat (g)
  • Fiber (g)
  • Sugars (g)
  • Sodium (mg)
  • Cholesterol (mg)

• Meal Context The Meal_Type column specifies whether the food was consumed during breakfast, lunch, dinner, or as a snack — useful for temporal or behavioral pattern analysis.

• Hydration Tracking Water_Intake (ml) allows hydration monitoring alongside nutritional consumption, enabling more holistic dietary assessments.

Potential Use Cases

• Building ML models for calorie prediction or nutrient estimation
• Designing personalized diet recommendations
• Meal-type classification and consumption pattern analysis
• Nutritional health dashboards or tracking applications
• Correlation studies between nutrient intake and hydration patterns

This dataset aims to serve health researchers, data scientists, nutritionists, and enthusiasts who want to analyze or model dietary behavior in a structured, meaningful way.

This dataset is not to be taken seriously. It has been synthetically generated to simulate real-world dietary records and reflects diverse food intake patterns through a randomized data generation process. It includes food categories, meal types, and nutritional values based on general nutritional guidelines and publicly available food databases.

Worldwide patterns of food consumption of individuals changed significantly over the last decades. The per capita caloric intake of cereals decreased from **** percent in 1961 to **** percent in 2011. On the other hand, individuals tended to consume more fish and eggs, which reported each a share of *** percent of caloric intake in 1961. Forty years later, they made up *** percent of the per capita calories consumption.

The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.

Russia Food Consumption per Capita: Meat data was reported at 74.000 kg in 2016. This records an increase from the previous number of 73.000 kg for 2015. Russia Food Consumption per Capita: Meat data is updated yearly, averaging 59.000 kg from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 75.000 kg in 2013 and a record low of 45.000 kg in 2000. Russia Food Consumption per Capita: Meat data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.

Russia Food Consumption per Capita: Average per Day: Fats data was reported at 108.700 g in 2016. This records an increase from the previous number of 104.900 g for 2015. Russia Food Consumption per Capita: Average per Day: Fats data is updated yearly, averaging 98.500 g from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 108.700 g in 2016 and a record low of 74.000 g in 1996. Russia Food Consumption per Capita: Average per Day: Fats data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.

Russia Food Consumption per Capita: Vegetables & Melon Crops data was reported at 112.000 kg in 2016. This records an increase from the previous number of 111.000 kg for 2015. Russia Food Consumption per Capita: Vegetables & Melon Crops data is updated yearly, averaging 86.000 kg from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 112.000 kg in 2016 and a record low of 68.000 kg in 1994. Russia Food Consumption per Capita: Vegetables & Melon Crops data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.

Data and scripts for the paperScripts and all data necessary to run the analyses and redo the figures. A detailed script "main.R" describes data processing.BonhDubr2013.zip

The United States had the highest number of available calories per person per day in 2019. A person in the U.S. had 3,802 Kilocalories available each day. This is not completely consumed and includes food waste and loss. Availability in China and India comes to 3,347 and 2,581 kilocalories per person per day, respectively. Burundi and Zimbabwe have the lowest availability and are the only countries under 1,800 kilocalories.

Russia Food Consumption per Capita: Butter data was reported at 3.800 kg in 2015. This records a decrease from the previous number of 4.100 kg for 2014. Russia Food Consumption per Capita: Butter data is updated yearly, averaging 3.800 kg from Dec 1995 (Median) to 2015, with 21 observations. The data reached an all-time high of 4.200 kg in 2006 and a record low of 3.000 kg in 1999. Russia Food Consumption per Capita: Butter data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB005: Household Food Consumption per Capita.