In 2023, the global functional and natural health food market was valued at 23.5 billion U.S. dollars and is projected to increase to 38.5 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 15.6 percent in the United States, as its health benefits became more well known. Chia seeds, another popular superfood, saw a 14.7 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.

Around 24.26 million people in Germany were especially interested in healthy eating and a healthy lifestyle as of 2024, in a population of roughly 84 million. Figures for this category did not change noticeably during the timeline shown on the graph. In fact, the distribution between the different answers to the corresponding survey remained similar. The Allensbach Market and Advertising Media Analysis (Allensbacher Markt- und Werbeträgeranalyse or AWA in German) determines attitudes, consumer habits and media usage of the population in Germany on a broad statistical basis. Food, drink and cigarettes Despite the availability of constantly expanding information on what consumers can do to stay healthy, everyone’s understanding of this still differs. Personal preferences and circumstances play a role in decision-making and motivation. While most people may indeed want to eat healthy and lead the accompanying lifestyle, they cannot always afford to, literally. Rising food prices in recent years have put a strain on households, with product categories across the board recording significant increases. In fact, to make an example of foods typically associated with healthy eating, vegetable prices increased by around 13.3 percent, while fruit prices grew by roughly 8.2 percent. All the same, a recent survey on health-conscious behavior revealed encouraging results. Around 85 percent of respondents stated they did not smoke, and 78 percent did not drink excessively. Making a move With movement and exercise being vital parts of leading a healthy lifestyle, it is interesting to see which types of sports Germans prefer. Based on a survey published in 2024, fitness studios had around 11.3 million members and were in the lead. Other leading types of physical activity pursued included soccer, gymnastics and tennis. These are all activities that require additional spending, as they usually include going to a particular venue and using specific equipment, as well as working with a trainer. There are, of course, “free” types of exercise that contribute positively to leading a healthy life, such as walking and cycling. Both can be a regular part of daily routines and commutes, without extra planning. Especially when it comes to shorter distances, cycling to work, school or university is a popular alternative to using the car or public transport for many Germans.

The Eating & Health (EH) Module of the American Time Use Survey (ATUS) collects data to analyze relationships among time use patterns and eating patterns, nutrition, and obesity; food and nutrition assistance programs; and grocery shopping and meal preparation.

Almost half of the Mexican consumers surveyed in a recent study said they eat healthy food three or four times per week. Meanwhile, around 30 percent of respondents ate healthily once or twice every seven days. Some of the most preferred healthy foods among Mexicans are salads and steamed vegetables.

Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status. The CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.

Explore World Bank Health, Nutrition and Population Statistics dataset featuring a wide range of indicators such as School enrollment, UHC service coverage index, Fertility rate, and more from countries like Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

School enrollment, tertiary, UHC service coverage index, Wanted fertility rate, People with basic handwashing facilities, urban population, Rural population, AIDS estimated deaths, Domestic private health expenditure, Fertility rate, Domestic general government health expenditure, Age dependency ratio, Postnatal care coverage, People using safely managed drinking water services, Unemployment, Lifetime risk of maternal death, External health expenditure, Population growth, Completeness of birth registration, Urban poverty headcount ratio, Prevalence of undernourishment, People using at least basic sanitation services, Prevalence of current tobacco use, Urban poverty headcount ratio, Tuberculosis treatment success rate, Low-birthweight babies, Female headed households, Completeness of birth registration, Urban population growth, Antiretroviral therapy coverage, Labor force, and more.

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

A survey conducted in 2020 revealed that a combined 18 percent of the respondents aged between 18 and 24 years old in the United Kingdom (UK) agreed overall that a healthy diet was an important part of their life, compared to nine percent of the 65 year-olds or older respondents. Nearly a fifth of the respondents within the 55 to 64 years old category strongly disagreed with this statement.

MyPyramid Food Data provides information on the total calories; calories from solid fats, added sugars, and alcohol (extras); MyPyramid food group and subgroup amounts; and saturated fat content of over 1,000 commonly eaten foods with corresponding commonly used portion amounts. This information is key to help consumers meet the recommendations of the Dietary Guidelines for Americans and manage their weight by understanding how many calories are consumed from "extras." CNPP has created an interactive tool from this data set available on the web at MyFood-a-pedia.gov. A mobile version is coming soon to provide consumers with assistance on-the-go.

IntroductionNutrition plays a crucial role in current German public health strategies. While sociodemographic differences in nutrition have been extensively studied, recent data specific to Germany remains limited.MethodsA representative cross-sectional online survey was conducted in 2022 among German-speaking adults aged 18–75 using a Computer Assisted Web Interview (CAWI) format. The survey addressed personal eating habits, the importance of nutrition, motivations behind food choices, and openness to dietary changes. Data analysis included both descriptive and inferential statistics, incorporating CHAID decision tree analysis and nonparametric methods for inductive statistical evaluation.ResultsAmong the 4,065 participants, 62.3% regarded healthy nutrition as important, with women, individuals with higher education, and those aged under 26 or over 70 demonstrating greater emphasis on nutrition. CHAID analysis identified education as the most significant predictor of attitudes toward healthy nutrition, followed by sex and income. Participants with a positive attitude toward healthy nutrition reported higher HRQoL scores (EQ-Index = 0.862) compared to neutral or negative attitudes (EQ-Index = 0.835)0.10.5% of participants reported not to eat meat, 28.6% were self-reported flexitarians and 54.1% of participants considered themselves omnivorous. Gender-specific dietary preferences were observed, with plant-based diets being much more popular among females. Participants identified taste preference as the primary factor influencing food choices (77.2%) when asked about the main reasons for their eating habits. Approximately 18% of participants predominantly or exclusively bought organic foods. Interestingly, one third of participants indicated a willingness to adopt a more plant-based diet if recommended by physicians or scientists.ConclusionThis representative online survey revealed significant associations between nutrition and sociodemographic aspects. Understanding this complex interplay might be useful for public health nutrition strategies that promote healthier national eating patterns.

Due to the United States' high rates of obesity and diet-related chronic diseases, this project aims to develop a plan for front of package (FOP) and shelf-labeling systems that identifies healthy choices, develops theory-based approaches that leverage FOP and shelf-labeling systems to promote healthier food purchases by SNAP participants, and identifies further exploration through the implementation and testing of a future pilot study.

The Stata data file "cap_dietary_combined.dta” and equivalent excel file of the same name comprises nutrition-related data collected by adolescent secondary school students during a "Citizen Science" project in the districts of Kavre and Jumla, Nepal during April to June 2022. The project was part of a CIFF-funded Children in All Policies 2030 (CAP2030) project . The data were generated by the students using a mobile device data collection form developed using "Open Data Kit (ODK) Collect" electronic data collection platform by Kathmandu Living Labs (KLL) and University College London (UCL) for the purposes of this study. The data collected were part of a learning exercise for students to raise awareness of under- and over- nutrition and poor diets in their locale. The form could be used to record 24-hour dietary recall of different healthy food groups and unhealthy sentinel foods amongst children under 5 years, older children and adolescents and adults. Height and weight could also be recorded where stadiometers and weighing scales were available. The form provided feedback to the data collector / respondent in terms of saying what their dietary diversity and unhealthy eating scores were and suggested what foods should be consumed for a healthy diet. In the case of under- or over- nutrition a message appeared with dietary / health advice. Since the students were using 10 android tablets to record information in and around their schools, the dataset may contain several copies of the same respondent recorded by different individuals, so should not be relied upon for precise prevalence of nutritional status. Rather, the data serve to demonstrate the potential of citizen science methods with Nepali school students to record such information. The nutrition app and the process of gathering the data are described in a paper entitled "Citizen science for climate change resilience: engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal" submitted to Wellcome Open Research in Feb 2023. The data contributed to Table 6, Figure 7 and Annex 6 of this paper.

This table contains data on the modified retail food environment index for California, its regions, counties, cities, towns, and census tracts. An adequate, nutritious diet is a necessity at all stages of life. Pregnant women and their developing babies, children, adolescents, adults, and older adults depend on adequate nutrition for optimum development and maintenance of health and functioning. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type-2 diabetes, and anemia. Peoples’ food choices and their likelihood of being overweight or obese are also influenced by their food environment: the foods available in their neighborhoods including stores, restaurants, schools, and worksites.

The modified retail food environment index table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf

The format of the modified retail food environment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

This dataset includes social maps of healthy eating campaigns in Australia showing the positions of stakeholder groups, the extent of ambiguity in healthy eating campaigns and impact, particularly on consumers, of these positions and ambiguities. Also included are media analysis, surveys, interviews and experiments.

In 2024, about 39 percent of respondents in the United States that the term "fresh" 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 37 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 20 and 18 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 40 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 a million metric tons higher than it was in 2010/11. Nonetheless, approximately two-thirds of American consumers state that they are trying to limit sugars in their diet. Moreover, about 11 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.

The dataset comes from Kaggle and contains information on food choices, preferences, and consumption patterns of college students in the United States. The data can help identify dietary patterns and provide insights into factors that influence food choices, such as health concerns, convenience, taste, and cultural factors. This dataset can be used by nutritionists, policymakers, and health educators to develop effective interventions and programs to promote healthy eating habits among college students. The data can also be used by food manufacturers and marketers to understand the factors that influence food choices among young adults and develop products that align with their preferences. Researchers can use this dataset to investigate the relationship between dietary patterns and various health outcomes, such as obesity, diabetes, and cardiovascular diseases. Additionally, this dataset can be used to compare food consumption patterns and preferences across different demographic groups, such as age, gender, and ethnicity.

This data package shows the information on Condiments Required in Food, Food Group Display, Global Health Nutrition Data, Condiment Food for USDA Kids and USDA Nutrient Retention Factors

This statistical report presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources.

The topics covered include:

• Overweight and obesity prevalence among adults and children

• Physical activity levels among adults and children

• Trends in purchases and consumption of food and drink and energy intake

• Health outcomes of being overweight or obese.

This report contains seven chapters which consist of the following:

• Chapter 1: Introduction; this summarises government policies, targets and outcome indicators in this area, as well as providing sources of further information and links to relevant documents.

• Chapters 2 to 6 cover obesity, physical activity and diet and provides an overview of the key findings from these sources, whilst maintaining useful links to each section of these reports.

• Chapter 7: Health Outcomes; presents a range of information about the health outcomes of being obese or overweight which includes information on health risks, hospital admissions and prescription drugs used for treatment of obesity.

• Figures presented in this report have been obtained from a number of sources and presented in a user-friendly format. Some of the data contained in the chapter have been published previously by the Health and Social Care Information Centre (HSCIC). Previously unpublished figures on obesity-related Finished Hospital Episodes and Finished Consultant Episodes for 2012-13 are presented using data from the HSCIC's Hospital Episode Statistics as well as data from the Prescribing Unit at the HSCIC on prescription items dispensed for treatment of obesity.

Datasets for study 1, study 2 and study 3.

What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. For each 2-year data release cycle, the following dietary intake data files are available: Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food. Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only). DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes. Resources in this dataset:Resource Title: What We Eat In America (WWEIA) main web page. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/ Contains data tables, research articles, documentation data sets and more information about the WWEIA program. (Link updated 05/13/2020)