In 2025, among EU-27 consumers aged 18 to 19 years, some 12 percent of survey respondents stated they have one or more food intolerances For respondents 60 to 64 years old, the share stood at seven percent. The survey was carried out in 18 countries of the Eu-27. The highest share of food intolerances could be found among those 30 to 39 years.

This statistic represents the projected compound annual growth rate of health and wellness food market segments from 2020 to 2027. For the period, the segment Naturally healthy food is expected to have a CAGR of 5.7 percent.

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Health And Wellness Food Market Size 2025-2029

The health and wellness food market size is valued to increase USD 627.6 billion, at a CAGR of 9.8% from 2024 to 2029. Increasing adoption of healthy eating habits will drive the health and wellness food market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 33% growth during the forecast period.
By Product - Naturally health food segment was valued at USD 245.70 billion in 2023
By Distribution Channel - Offline segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 135.61 billion
Market Future Opportunities: USD 627.60 billion
CAGR : 9.8%
APAC: Largest market in 2023

Market Summary

The market represents a significant and continuously evolving sector, driven by the increasing adoption of healthy eating habits worldwide. According to recent studies, the global market for prebiotic and probiotic food is projected to reach a value of 68.2 billion USD by 2026, reflecting a robust growth trajectory. This trend is fueled by consumers' growing awareness of the health benefits associated with these foods, which contribute to improved gut health and immune system function. However, the high cost of health and wellness food remains a major challenge, limiting accessibility for many consumers.
Core technologies, such as fermentation and encapsulation, are key enablers for the production of these foods, while applications span various sectors, including functional food and beverages, dietary supplements, and pharmaceuticals. Regulatory frameworks play a crucial role in shaping market dynamics, with regional variations influencing market opportunities and challenges.

What will be the Size of the Health And Wellness Food Market during the forecast period?

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How is the Health And Wellness Food Market Segmented and what are the key trends of market segmentation?

The health and wellness food industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Naturally health food
  Functional food
  BFY food
  Organic food
  Food intolerance products


Distribution Channel

  Offline
  Online


Ingredient Type

  Animal-Based Ingredients
  Plant-Based Ingredients


Fat Content

  No fat
  Low fat
  Reduced-fat


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Product Insights

The naturally health food segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving the market, probiotic strains and functional foods are gaining significant traction. Probiotics, beneficial bacteria, are incorporated into various food products to improve gut health and support the immune system. Functional foods, enriched with prebiotic fibers and omega-3 fatty acids, offer additional health benefits, such as improved digestibility and mineral absorption. Sensory evaluation and health claims regulations play crucial roles in the market. Food safety standards, including the gut-brain axis, are essential for product formulation and consumer perception. Clinical trial data and packaging technology enhance bioavailability and cognitive function, while fiber content and vitamin bioavailability are key considerations for product development.

The health benefits of naturally healthy foods extend to protein quality, antioxidant capacity, nutrient density, and phytochemical compounds. Nutritional supplements, with label accuracy and immune system support, complement the market's growth. Ingredient interactions and shelf life extension are essential aspects of food processing methods and quality control systems. The market is projected to expand by 15% in the upcoming year, with a further 12% increase expected within the next five years. These figures reflect the continuous demand for healthier food options and the industry's commitment to innovation and consumer well-being.

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The Naturally health food segment was valued at USD 245.70 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

APAC is estimated to contribute 33% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Health And Wellness Food Market Demand is Rising in APAC Request Free Sample

In

In 2023/24, approximately ten percent of responding adults in the European Union (EU-27) stated that they were following a lactose-free diet. A combined eleven percent of respondents avoided the consumption of meat completely. This includes those who follow a pescetarian, vegan, or vegetarian diet.

In 2025, about ** percent of respondents in the United States stated that the term "good source of protein" best defines healthy food to them. This was the most frequently chosen definition. The term "low in sugar" was the third most frequently chosen definition for healthy foods, with nearly ** percent of respondents choosing this definition. Healthy eating patterns in the U.S. High-protein and mindful eating are the two most common eating patterns among U.S. consumers. These two eating patterns are followed by about ** and ** percent of surveyed consumers, respectively. Other popular eating patterns included intermittent fasting, calorie-counting, and clean eating. Among those consumers who follow a specific eating pattern or diet, more than ** percent stated that their motivation is to protect their long-term health or to prevent future health conditions. Additionally, eating healthier is the most commonly made change by Americans who adjust their diet to try to manage or reduce stress, as stated by more than half of consumers who have tried to reduce their stress levels. Sugar consumption in the U.S. Excessive sugar consumption is one of the things that may prevent people from having a healthy diet. Over 11 million metric tons of sugar are consumed by Americans annually. The consumption of sugar in the U.S. has steadily increased during the last 14 years. The annual sugar consumption is now about ********* metric tons higher than it was in 2010/11. Nonetheless, approximately ********** of American consumers state that they are trying to limit sugars in their diet. Moreover, about ** percent of consumers state that they attempt to avoid sugar completely. Trying to improve the diet in general is the most common reason for limiting or avoiding sugars among U.S. consumers. Avoiding gaining weight, preventing a health condition, and losing weight are also among the top reasons.

This dataset provides detailed information on a variety of global food items, focusing on their nutritional content, food group classification, and popularity metrics. It is intended for use in dietary analysis, health research, food industry trends, and data-driven culinary development.

Global Health And Wellness Food Market size was evaluated at $935 billion in 2023 and is hit $1,123 billion by the end of 2032 a CAGR of 7% By 2024 and 2032.

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 ...

Abstract Purpose: The number of food products containing nutritional or health claims, such as added calcium for stronger bones, has been increasing. Accordingly, we aimed to understand consumers’ perceptions towards products that are considered to be healthier and to know how these perceptions affect their purchase intentions. Theoretical framework: Based on consumer perception theory and how consumers process and interpret information, we sought to better understand consumer behavior in relation to the use of nutrition claims in marketing communication. Design/methodology/approach: A survey was conducted via an online questionnaire and responses were obtained from 477 Portuguese consumers. Findings: The results show that the most relevant characteristics when purchasing food are price and taste. However, the addition of a claim can increase purchase intentions. Practical & social implications of research: The reasons behind the new offerings by the food industry are related to the growing demand from individuals for products aimed at improving their health status, which has been deteriorating due to factors such as sedentary lifestyles, longer life expectancy, and a poor diet in terms of nutrition. It is important to know if these claims translate into effective changes in purchasing behavior. Originality/value: The results lead to the conclusion that claims are important in the food choices of the Portuguese respondents, who are less keen on “light” and “lean.” When it comes to using claims in communication, in Portugal, it is always better to use a direct, transparent, and rigorous approach; otherwise the consumer will not be induced to buy.

Discover healthy and delicious meal ideas with our comprehensive EatingWell Recipes dataset. This dataset offers detailed information on a wide variety of recipes from EatingWell, a trusted source for healthy eating. Whether you are a data scientist, nutritionist, food blogger, or developer, this dataset provides an invaluable resource for exploring healthy eating trends, ingredient combinations, and nutritional information.

The dataset includes key details such as recipe titles, ingredients, nutritional information, preparation steps, cooking times, and dietary categories. With recipes spanning various dietary preferences and meal types, this dataset is perfect for creating health-focused recipe apps, nutritional analysis tools, or exploring the latest trends in healthy eating.

Looking to enhance your project with even more robust data? Explore our Food & Beverage Data for access to a wide range of datasets that empower developers, researchers, and businesses to innovate in the food and beverage industry.

Empower your projects and applications with structured, high-quality data from EatingWell. Leverage this dataset to promote healthy eating habits, develop personalized meal plans, or simply to inspire your next meal idea.

In 2019, three-quarters of Canadian survey respondents were interested in trying plant-based meat substitutes. Additionally, just under 70 percent of Canadians took an interest in the cauliflower pizza crust trend.

Healthy lifestyles in Canada

More people than ever are attempting to lead a healthier lifestyle by making conscious decisions and Canadians are no exception. Roughly a third of Canadians made an effort to drink more water and other fluids in 2019. Just under ten percent took the approach of eating smaller portions, while just under five percent of Canadians ate less red meat.

Access to healthy food

In 2019, Canadians most frequently went to supermarkets in order to find and purchase healthy foods. Other common retail destinations consumers would go to were warehouse clubs and farmers’ markets. One year earlier, opinions were mixed on whether or not it will become harder to obtain healthy foods in the future. A quarter of Canadians believed the situation would worsen, while another 25 percent believed it would become better. The remainder, however, believed that getting access to healthy food would stay more or less the same in the future.

Context

HealthStats compiles an extensive array of health, nutrition, and population statistics gleaned from a diverse array of global sources. Encompassing themes ranging from population dynamics to health financing and disease prevalence, this repository covers a broad spectrum of indicators, including immunization rates, infectious diseases, HIV/AIDS, and population projections. Additionally, HealthStats presents nuanced statistics categorized by wealth quintiles, offering a comprehensive view of societal disparities.

Content

Within this dataset, a compendium of 470 indicators sheds light on critical metrics such as immunization rates, malnutrition prevalence, and vitamin A supplementation across 266 countries worldwide. Spanning a timeframe from 1960 to 2022, this data collection encapsulates yearly statistics, providing a comprehensive historical perspective on health, nutrition, and population dynamics.

Dataset Structure

This dataset (health_nutrition_population_statistics.csv) covering from 1960 up to 2022 includes the following columns:

Questions for Exploration

• Are there unexpected correlations or shifts in indicators that warrant inclusion for a more holistic understanding?
• Is there a discernible relationship between condom use and HIV transmission rates among newborns, and how have these trends evolved over time?
• Identifying countries with the highest iodized salt consumption and tracking changes over time could reveal intriguing patterns. Are there other indicators that correlate significantly with this consumption trend?

Acknowledgment

The primary dataset was retrieved from the World Bank's Data Catalog. I would like to express our sincere appreciation to the World Bank team for providing the core data used in this dataset.

© Image credit: Freepik

This dataset provides comprehensive nutritional information for a variety of foods. It includes calorie counts, macronutrient breakdowns (carbohydrates, proteins, and fats), and other relevant nutritional details. This dataset can be valuable for individuals seeking to manage their diet, track calorie intake, or explore dietary trends.

Potential Use Cases:

Dietary Analysis: Analyze dietary trends, identify popular food choices, and understand nutritional patterns. Calorie Tracking Apps: Develop mobile applications to help users monitor their calorie intake and make informed food choices. Nutrition Research: Conduct research on the nutritional content of foods, the impact of diet on health, and the development of dietary guidelines. Machine Learning Models: Train machine learning models to predict calorie content based on food ingredients or descriptions. Data Dictionary:

food_item: Name of the food item. calories: Caloric content of the food item in calories. protein: Protein content of the food item in grams. fat: Fat content of the food item in grams. carbohydrates: Carbohydrate content of the food item in grams. sugar: Sugar content of the food item in grams. fiber: Fiber content of the food item in grams. [Additional columns as relevant, e.g., sodium, cholesterol, vitamins, minerals] Data Quality and Source: The data was sourced from [Specify your data source, e.g., USDA FoodData Central, nutrition databases, or original data collection]. It has been cleaned and preprocessed to ensure accuracy and consistency.

Graph and download economic data for Producer Price Index by Industry: Food (Health) Supplement Retailers: Primary Services (PCU446191446191P) from Dec 1999 to Jun 2025 about supplements, primary, health, food, services, PPI, industry, inflation, price index, indexes, price, and USA.

IntroductionFood has a considerable environmental impact beyond its effects on the nutritional and health status of the population. Food consumption changes over time and is influenced by diverse socioeconomic factors. This study aimed to evaluate the nutritional, health, and environmental (NHE) dimensions of foods commonly consumed by the Swiss population, assess consumption trends in combination with the NHE dimensions from 1990 to 2017 at the food and diet levels, and suggest recommendations for consumption pattern improvement.MethodsThe nutrient rich food index 10.3 (NRF10.3) was used to evaluate the nutritional dimension, while the health nutritional index (HENI) evaluated the health effects of dietary intake. The environmental dimension of the foods was assessed by LCA using the SALCA method v2.0.1. To evaluate consumption trends, we used data on Swiss household-level purchases provided by the Swiss Federal Statistical Office for the years 1990, 2000, 2010, and 2017. Using regression analysis, we estimated the trends of NHE dimensions combined with consumption at the productand household diet levels.ResultsThe analysis showed many trades-offs between the dimensions. At the food group level, the decreased consumption of all meat except poultry had a positive nutritional and health impact while decreasing theoverall environmental impact of meats. At the diet level, an increase in nutritional density was observed over time, while the HENI index was higher in 2000. The environmental dimension was highly dependent on which impact category was observed.DiscussionThree main recommendations can be drawn from this study: First, it is important to include several dimensions in food and diet analysis. Second, decreasing red and processed meat and increase of poultry consumption through the years can maintain the nutrient density of the diets, improve its health impacts, and decrease the majority of the environmental impact categories compared to diets with high red meat consumption. Third, the consumption of pulses, fruits, vegetables, and nuts was very low compared to the recommendations, but increasing it can improve all the dimensions studied.

This dataset contains detailed nutritional and portion information for 1,000 different food items. It provides a comprehensive view of various nutritional components, including calorie content, macronutrients, and specific food categories. This data is essential for analyzing dietary patterns, making nutritional comparisons, and developing health recommendations.

Usage:

This dataset is suitable for a variety of analyses, including nutritional content evaluations, dietary pattern assessments, and health impact studies. It can be used to compare different foods, identify nutritional trends, and make informed dietary recommendations.

In 2023, the global functional and natural health food market was valued at **** billion U.S. dollars and is projected to increase to **** billion U.S. dollars by 2033. Superfoods The term “superfoods” has been used to describe nutritionally dense foods, or foods that are especially high in essential nutrients. A few common examples of superfoods include salmon, kale, blueberries, and quinoa. Between 2016 and 2017, retail sales of quinoa grew by **** percent in the United States, as its health benefits became more well known. Chia seeds, another popular superfood, saw a **** percent increase in retail sales in that time period. Healthy eating behavior in North America American consumers have tried a wide variety of different diet and lifestyle changes in order to improve their health, the most common of which involved increasing water intake, making small changes in one’s diet, and eating more fruits and vegetables. The top motivating factor for these eating habit changes was weight loss, followed by preventing future health conditions. When Canadian consumers were surveyed what they believed a healthy meal consisted of, more than half responded that more fruits and vegetables made a meal healthier.

The Functional Foods and Natural Health Product market represents a rapidly evolving sector at the intersection of health, nutrition, and consumer demand for wellness-oriented products. Over the past decade, the market has expanded significantly, driven by a growing awareness of the link between diet and health, as

Snapshot img

US Gluten-Free Food Market Size 2024-2028

The US gluten-free food market size is forecast to increase by USD 1.43 billion at a CAGR of 10.87% between 2023 and 2028.

The market is witnessing significant growth due to increasing consumer preference for healthier food options. A key trend driving market growth is the expanding demand for bakery products. Moreover, wider distribution channels for gluten-free foods are contributing to market expansion. Online shopping and e-commerce platforms have made it easier for consumers to access these products, contributing to the market's growth. However, the high price point of gluten-free food products poses a challenge to market growth. Consumers are looking for affordable options while maintaining their gluten-free diet. Adherence to stringent labeling regulations and innovation in product offerings is essential for market success. The market analysis report provides a comprehensive study of these factors and more, offering insights into the future growth prospects of the gluten-free food market In the US.

What will be the size of the US Gluten-Free Food Market during the forecast period?

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The market continues to experience strong growth due to the rising prevalence of celiac disease, food allergies, and other health disorders such as chronic pulmonary disease, metabolic syndrome, heart disease, diabetes, and obesity. Consumers seeking healthier options and improved nutritional functioning, as well as those with emotional well-being and energy needs, are increasingly turning to gluten-free foods.



This trend is particularly evident In the ready-to-eat foods segment, which includes gluten-free bakery products, snacks, and organic baked goods. The market's expansion is driven by the growing awareness of the health benefits associated with gluten-free diets, including improved digestion and weight loss. As a result, the market for gluten-free products is expected to remain a significant contributor to the overall health and wellness industry.

How is this market segmented and which is the largest segment?

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

Product

  Bakery
  Snacks
  Others


Distribution Channel

  Supermarkets and hypermarkets
  Convenience stores
  Specialty stores
  Online retails
  Drug stores


Geography

  US

By Product Insights

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

The market has experienced significant growth due to increasing health consciousness and the prevalence of chronic health issues such as celiac disease and food allergies. Among various categories, gluten-free bakery products have been leading the market, driven by the demand for gluten-free alternatives to traditional baked goods. These products include bread, biscuits, cookies, and confectionery items like cakes and pastries. Consumers opt for gluten-free bakery and confectionery food products for medical necessity due to celiac disease or as a preventive measure for gluten sensitivity. Additionally, the market for gluten-free products extends to ready-to-eat meals, snacks, infant formulas, dairy products, and pulses.

Moreover, the food processing sector is responding to this trend by introducing gluten-free options in various categories. Health-conscious consumers also prefer gluten-free products as part of diets like Paleo, Keto, and low-fat, or for managing health disorders such as heart disease, diabetes, chronic pulmonary disease, and metabolic syndrome. The market for gluten-free products also includes functional foods, free-from food, and clean-label convenience foods. The demand for gluten-free alternatives offers numerous health advantages, including improved digestion, increased energy, and weight loss. Gluten-free snacks are also popular due to their convenience and nutritional value, making them a preferred choice for healthful snacking options.

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The Bakery segment was valued at USD 787.70 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Gluten-Free Food Market?

Growing demand for gluten-free bakery products is the key driver of the market.

The gluten-free food market In the US experienced significant growth in 2023, with the bakery products segment leading the way. This segment encompasses a wide range of offerings, including glute

Open Food Facts: The World's Largest Open Database of Food Products

Ready to tackle real-world data science challenges that impact global food transparency? Explore, analyze, and contribute to a dataset of over 4 million food products from across the globe.

This is more than just a dataset; it's a living, breathing project with tangible applications in health, nutrition, and sustainability. Whether you're interested in nutrition, supply chains, or the environmental impact of food, you have the power to make a difference.

• Contribute to AI with real-world impact: We have a list of AI and machine learning tasks that directly contribute to food transparency. Your skills can help millions of consumers make more informed choices.
• Join us for Google Summer of Code 2025: We have exciting machine learning and data science projects lined up. We are actively seeking students and additional mentors. This is a fantastic opportunity to work on meaningful projects with a passionate community.
• Support a global cause: Open Food Facts is a volunteer-run non-profit organization. Every contribution helps us maintain our servers and continue our mission. Donate here to support our work (we do not accept funding from the food industry to ensure our independence).

About Open Food Facts

Open Food Facts is a free, open, and collaborative database of food products from around the world. It contains detailed information on ingredients, allergens, nutritional content, and other data found on product labels.

By the Community, For the Community: * Massive Scale: The database includes over 4 million products from 150 countries. * Crowdsourced Data: More than 5,000 volunteers have contributed by scanning barcodes and uploading product images using our Android and iPhone apps. * Completely Open: The entire database is published as open data, available for anyone to use for any purpose. Discover existing projects or build your own!

Dataset Structure

The dataset is provided as a single table, FoodFacts, available in both CSV (FoodFacts.csv) and SQLite (database.sqlite) formats. With over 150 columns, this rich dataset offers a vast playground for analysis and modeling.

Key Column Groups:

The columns can be broadly categorized as follows:

• Product Identification:

  • code: The barcode of the product (EAN-13 or UPC).
  • product_name: Name of the product.
  • generic_name: A more generic description of the product.
  • brands, brands_tags: The brand or brands associated with the product.
  • url, image_url, image_small_url: Links to the product page and images on Open Food Facts.

• Product Characteristics:

  • quantity: The amount of the product (e.g., "500 g", "2 L").
  • packaging, packaging_tags: Information about the product's packaging.
  • categories, categories_tags, categories_en: The product's food categories.
  • labels, labels_tags, labels_en: Certifications and labels (e.g., "Organic", "Gluten-Free").

• Origin and Sourcing:

  • origins, origins_tags: Where the ingredients come from.
  • manufacturing_places, manufacturing_places_tags: Where the product was manufactured.
  • countries, countries_tags, countries_en: Countries where the product is sold.

• Ingredients and Allergens:

  • ingredients_text: The full list of ingredients.
  • allergens, allergens_en: Declared allergens.
  • traces, traces_tags, traces_en: Potential traces of allergens.
  • additives_n, additives_tags, additives_en: Number and list of food additives.
  • Information on palm oil content (ingredients_from_palm_oil_n, etc.).

• Nutritional Information (per 100g):

  • Macronutrients: energy_100g, fat_100g, saturated_fat_100g, carbohydrates_100g, sugars_100g, proteins_100g, fiber_100g, salt_100g.
  • Vitamins: vitamin_a_100g, vitamin_c_100g, vitamin_d_100g, vitamin_b1_100g, etc.
  • Minerals: calcium_100g, iron_100g, magnesium_100g, potassium_100g, etc.
  • Fatty Acids: Detailed breakdown of fatty acids (omega_3_fat_100g, linoleic_acid_100g, etc.).

• Scores and Classifications:

  • nutrition_grade_fr: The Nutri-Score, a five-letter nutrition grade (A to E).
  • pnns_groups_1, pnns_groups_2: Food categories used to compute the Nutri-Score.
  • carbon_footprint_100g: The carbon ...