According to a survey on the consumption of fast food among high school students in South Korea, around **** percent of the respondents stated that they consumed fast food frequently in 2024, meaning at least three times per week. The share of frequent fast food consumption among high schoolers slowly increased since 2016 and is now almost double that of 2015.

According to a survey on the fast food consumption among middle school students in South Korea, around 25 percent of the respondents stated that they consumed fast food frequently in 2023, meaning at least three times per week. The high fast food consumption among middle schoolers remained roughly stable since 2019.

Ate fast food 1+ times in the past 7 days by sex, race/ethnicity, and grade, California Healthy Kids Survey, 2015-16METADATA:Notes (String): Lists table title, sourceYear (String): Year of surveyCategory (String): Lists the category representing the data: Santa Clara County is for total surveyed population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and grade level (7th, 9th, 11th, or non-traditional).Percent (Numeric): Percentage of middle and high school students who ate fast food 1+ times in the past 7 days

This dataset contains measures of the number and per capita density of all eating and drinking places plus select subtypes – fast food restaurants, coffee shops, and bars – per United States census tract from 2006 through 2015. Establishment data was taken from the National Establishment Time Series (NETS) database which classifies establishments by North American Industry Classification System (NAICS) code and provides detailed address history.

Of all Indians eating out, the highest share of people at about 40 percent in the age group of 21-30 year old ate out.

The average fast food consumption per week across India in 2016 can be found here.

This project is superceded by:
Clarke, Philippa, Gomez-Lopez, Iris, Li, Mao, and Finlay, Jessica. National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract, United States, 2006-2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-05. https://doi.org/10.3886/E115404V1

The objective of the National Neighborhood Data Archive (NaNDA) is to create measures of neighborhood context that impact clinical, social, and psychological health and healthy aging outcomes. This dataset contains measures of the number and per capita density of fast-food restaurants per United States census tract from 2006 through 2015. Fast-food restaurants are those classified as “limited-service restaurants” under the North American Industry Classification System (NAICS code 722513). According to the NAICS website, code 722513 “comprises establishments primarily engaged in providing food services (except snack and nonalcoholic beverage bars) where patrons generally order or select items and pay before eating.” Examples include pizza delivery shops, fast-food restaurants, and takeout sandwich shops.

The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR. The current version, Survey-SR 2013-2014, is mainly based on the USDA National Nutrient Database for Standard Reference (SR) 28 (2) and contains sixty-six nutrientseach for 3,404 foods. These nutrient data will be used for assessing intake data from WWEIA, NHANES 2013-2014. Nutrient profiles were added for 265 new foods and updated for about 500 foods from the version used for the previous survey (WWEIA, NHANES 2011-12). New foods added include mainly commercially processed foods such as several gluten-free products, milk substitutes, sauces and condiments such as sriracha, pesto and wasabi, Greek yogurt, breakfast cereals, low-sodium meat products, whole grain pastas and baked products, and several beverages including bottled tea and coffee, coconut water, malt beverages, hard cider, fruit-flavored drinks, fortified fruit juices and fruit and/or vegetable smoothies. Several school lunch pizzas and chicken products, fast-food sandwiches, and new beef cuts were also added, as they are now reported more frequently by survey respondents. Nutrient profiles were updated for several commonly consumed foods such as cheddar, mozzarella and American cheese, ground beef, butter, and catsup. The changes in nutrient values may be due to reformulations in products, changes in the market shares of brands, or more accurate data. Examples of more accurate data include analytical data, market share data, and data from a nationally representative sample. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES 2013-14 (Survey SR 2013-14). File Name: SurveySR_2013_14 (1).zipResource Description: Access database downloaded on November 16, 2017. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR), October 2015. Resource Title: Data Dictionary. File Name: SurveySR_DD.pdf

Consumers’ growing awareness of fast food’s nutritional content and shift towards healthier eating habits have challenged demand for fast food and takeaway food services. In response, fast food brands have expanded their menus to include more nutritious, premium options with reduced fat, sugar and salt. Major companies have adapted to this trend, with McDonald's expanding its premium burger range and KFC focusing on fresh, locally sourced ingredients. The number of chicken-based fast food, which is considered healthier than traditional fast food, is also increasing. The recent cost-of-living crisis has had a mixed impact on the industry as consumers ‘trade down.’ Although people are refraining from overspending on eating out, they’re preferring to spend on fast food meals instead of paying for full meals at restaurants. Industry revenue is expected to have grown at an annualised 2.6% over the five years through 2024-25 to $29.6 billion. This trend includes an anticipated 2.9% jump in 2024-25. Consumers’ surging reliance on online delivery platforms during the pandemic boosted industry revenue but also pressured profitability, since online delivery platforms charge commissions per order. Rising food inflation has led businesses to increase menu prices to offset higher purchasing costs, with most major franchises able to pass on costs downstream to consumers, which has driven profitability growth over the five years through 2024-25. Shifting consumer preferences and evolving business models will drive industry growth over the coming years. Companies will increasingly focus on offering plant-based alternatives, reshaping their menus, with major brands set to expand their vegetarian and vegan options to capture rising demand for sustainable, health-conscious meals. Refranchising will also improve industrywide profitability, as fast food giants will reduce their operational costs by shifting company-owned stores to franchisees. This model allows brands to focus on marketing and innovation while franchisees manage day-to-day operations. These strategies, alongside international expansion, will boost competition and industry growth. Revenue is forecast to rise at an annualised 4.3% over the five years through 2029-30 to reach $36.6 billion.

The consumer price index (CPI) for fast food and take away services in the Netherlands increased gradually from 2018 to 2024. In January 2018, the index value of fast food was measured at 106.8, where the year 2015 equals 100. The CPI increased to a value of roughly 150 in 2024.

Overview The report presents updated estimates of household food expenditure trends and examines further issues relating to Australia's household food expenditure. The analysis builds on a June 2017 …Show full descriptionOverview The report presents updated estimates of household food expenditure trends and examines further issues relating to Australia's household food expenditure. The analysis builds on a June 2017 ABARES report that examined recent trends in food demand in Australia and a range of food security issues. Key Issues Between 2009-10 and 2016-17, the key drivers of Australia's household food demand growth were, in order of importance, population growth, changes in tastes and preferences (including lifestyle choices), lower real food prices and real income growth. While population growth is important, increasing the number of people seeking to meet their energy and nutrition requirements, there has also been a broadly-based shift toward spending on meals out and fast foods, with the share of meals out and fast foods in household food expenditure in Australia increasing from 31 per cent in 2009-10 to 34 per cent in 2015-16. This increases food expenditure per person, all else constant. Domestic household consumption is still the most important market for food producers (based on value), but food exports have recovered strongly in recent years, from $25 billion in 2009-10 to $39 billion in 2016-17 (in 2015-16 prices); the share of exports in Australia's indicative food production increased from a recent low of 25 per cent in 2009-10 to 33 per cent in 2016-17. Two key questions posed in the report relate to food security across population sub-groups and economic opportunities for farmers and other food product and service providers. • Food security-based on average outcomes in population sub-groups in 2015-16 using HES data, the Australian Government's transfer system is important in ensuring a high level of food security across households in Australia; some households, such as those highly reliant on family support payments, may require complementary support, for example, from non-government organisations. • Economic opportunities in the domestic food supply chain-future food demand growth in Australia will be underpinned by population and income growth. For people living in higher income and/or net worth households, there is a demonstrated willingness to pay a premium for quality attributes of food products and services, including convenience factors. Food labelling is a key approach to inform consumers about quality attributes that may earn a price premium. A key challenge in the long-term trend toward increased demand for meals out and fast foods is to ensure people have information about food attributes such as nutrition content. Reliable and well understood food product and service labelling may enhance nutrition security in Australia, and allow consumers to make food choices that are more closely aligned with their tastes and preferences (including in relation to nutrition and health), and wider circumstances, as well as contributing to reducing food waste.

Canadian fast food restaurants have seen significant growth over the past five years, largely attributed to increased consumer spending and innovative product offerings. However, this growth faced constraints due to high internal competition and shifting consumer tastes. Profitable products like coffee and smoothies have become prominent while customizable meals and high-quality ingredients have gained popularity, prompting industry giants to reconsider their strategies and menu offerings. Consequently, industry revenue is projected to increase an annualized 3.8%, reaching approximately $37.0 billion in 2025, with an anticipated 2.4% growth within that year alone. In 2025, profit is expected to make up 4.8% of revenue.

Consumer eating habits have drastically changed over these past five years. Health-consciousness has surged, pushing for alterations to customary fast food options. Major chains responded by expanding menus to cater for healthier items such as salads, fruits, and smoothies. Increased per capita disposable income levels have also bolstered the industry, enabling more consumers to dine at fast food restaurants. This trend also spiked demand for food delivery services, driving restaurants to invest more in robust online ordering and delivery management systems. The industry is expected to endure challenges resulting from the US-Canada tariff wars as a significant share of restaurant purchases are sourced from the US. As purchases become more expensive, especially fresh produce, Canadian fast food restaurants have pivoted to source from local suppliers. Further, the increasing trend toward national pride will favor Canadian-founded fast food chains such as A&W and Tim Hortons. Looking into 2030, industry revenue is forecasted to exhibit an annualized growth rate of 1.1%, reaching $39.1 billion. Growth is anticipated to be swifter in the first half of this outlook given the adaption to new challenges relating to tariffs. In line with rising demand for healthier food, fast-food joints will likely persist in launching new products that resonate with consumers' evolving preferences. Further, food delivery services are expected to continue playing a significantly larger role in this industry.

Overview In recent years, ABARES has undertaken research programs that focus on two key economic aspects of Australia's food exports: world food demand to 2050 and implications for Australia’s food exports; and the efficiency of Australia’s infrastructure and food export supply chains. To complement these research programs, this report examines trends and issues in Australia's food market with a focus on domestic food demand. Key Issues • The domestic market is important for Australia's food …Show full descriptionOverview In recent years, ABARES has undertaken research programs that focus on two key economic aspects of Australia's food exports: world food demand to 2050 and implications for Australia’s food exports; and the efficiency of Australia’s infrastructure and food export supply chains. To complement these research programs, this report examines trends and issues in Australia's food market with a focus on domestic food demand. Key Issues • The domestic market is important for Australia's food producers including farmers, food processors and food service providers. By value, around two-thirds of Australia’s food production is used in the domestic market. Food imports have become more important, particularly for processed food, but still account for a relatively low share of household food consumption (15 per cent in 2015-16). • Food is a major expenditure category for households in Australia-current housing costs, food and transport are consistently the three top expenditure categories (based on data from the 1990s and 2000s). The three top food expenditure categories are: meals out and fast foods; meat, fish and seafood; and fruit and vegetables. • Food expenditure per person tends to be higher, on average, for households with higher incomes - notably, the share of total food expenditure spent on meals out and fast foods is significantly higher for households with higher incomes. By contrast, the distribution of food expenditure is broadly similar across household groups based on net worth - that is, households with high net wealth spend relatively more on food in aggregate, but the shares spent on the main food categories are broadly similar. • The food industry supplies a broad range of food products and services in response to food demand in different segments of the domestic market. There is ongoing innovation by the food industry to increase the efficiency and effectiveness of the food supply chain, including to enhance further Australia's high level of food security. For example, major food retailers have developed product lines to sell imperfect fruit and vegetables at lower prices (such as The Odd Bunch at Woolworths, and Imperfect Picks at Harris Farm Markets). Patterns of food expenditure indicate there are also likely to be ongoing economic opportunities to obtain a price premium for reliable food quality attributes.

Food and beverage marketing on social media contributes to poor diet quality and health outcomes for youth, given their vulnerability to marketing’s effects and frequent use of social media. This study benchmarked the reach and frequency of earned and paid media posts, an understudied social media marketing strategy, of food brands frequently targeting Canadian youth. The 40 food brands with the highest brand shares in Canada between 2015 and 2020 from frequently marketed food categories were determined using Euromonitor data. Digital media engagement data from 2020 were licensed from Brandwatch, a social intelligence platform, to analyze the frequency and reach of brand-related posts on Twitter, Reddit, Tumblr, and YouTube. The 40 food brands were mentioned on Twitter, Reddit, Tumblr, and YouTube a total of 16.85M times, reaching an estimated 42.24B users in 2020. The food categories with the most posts and reach were fast food restaurants (60.5% of posts, 58.1% of total reach) and sugar sweetened beverages (29.3% of posts, 37.9% of total reach). More men mentioned (2.77M posts) and were reached (6.88B users) by the food brands compared to women (2.47M posts, 5.51B users reached). The food and beverage brands (anonymized), with the most posts were fast food restaurant 2 (26.5% of the total posts), soft drink 2 (10.4% of the total posts), and fast food restaurant 6 (10.1% of the total posts). In terms of reach, the top brands were fast food restaurant 2 (33.1% of the total reach), soft drink 1 (18.1% of the total reach), and fast food restaurant 6 (12.2% of the total reach). There is a high number of posts on social media related to food and beverage brands that are popular among children and adolescents, primarily for unhealthy food categories and certain brands. The conversations online surrounding these brands contribute to the normalization of unhealthy food and beverage intake. Given the popularity of social media use amongst of children and adolescents, policies aiming to protect these vulnerable groups need to include the digital food environment.

Abstract This study aimed to examine the association between clusters of physical activity (PA), diet, and television viewing (TV) with weight status among a representative sample of Brazilian students. Data from the National Health School-based Survey (PeNSE) 2015 were analyzed (n = 16,521; mean age 14.8, standard deviation 0.03 year). PA (minutes/week spent in leisure-time, and commuting to/from school), TV (hours/day), and weekly consumption of deep-fried empanadas, candies, sodas, ultra-processed foods, fast foods, green salads or vegetables, and fruits were self-reported on the validated PeNSE questionnaire. Latent class analysis defined behavior classes, and binary logistic regression assessed the association between clustering and weight status. Six classes’ types with positive and negative behaviors were identified. Adolescents belonging to the “low TV time and high healthy diet” class had higher chances of being overweight (including obesity) compared to their peers in the “moderate PA and mixed diet” class. No associations were found in the other clusters. Mixed classes with healthy and unhealthy behaviors characterized adolescents’ lifestyles and these profiles were related to weight status.

This statistic displays the answers to a survey question on the consumption frequency of fries in Flanders in Belgium in 2015. In 2015, approximately *** percent of the respondents answered they ate fries less than once per month.

The statistic shows the share of consumers who have eaten a medium or rare beef burger from a restaurant, fast food venue, pub or takeaway in the two weeks prior to a survey conducted in ************, by age. Overall, around a quarter of respondents claimed to have consumed a medium or rare beef burger in the last two weeks, with younger age groups the most likely to.

This statistic shows the restaurant industry food and drink sales in the United States from 1970 to 2017. In 2016, food and drink sales of the U.S. restaurant industry amounted to approximately *** billion U.S. dollars.

More statistics and facts on fast food, the U.S. restaurant industry and the pizza (delivery) market.

U.S. restaurant industry - additional information

In 2016, food and drink sales in the United States restaurant industry amounted to *** billion U.S. dollars, up from ***** billion U.S. dollars in the previous year. Restaurants in the United States have created a booming industry that employed more than ** million people nationwide in 2015.

Unsurprisingly, the majority of food and drink sales in the U.S. restaurant industry take place in commercial restaurants. In 2016, full-service restaurant sales amounted to *** billion U.S. dollars and limited-service sales were *** U.S. dollars. The second largest contributor in 2015 was retail, vending, recreation and mobile vendors with sales of ***** billion U.S. dollars. The smallest proportion came from came from bars and taverns.

As of December 2016, things were still looking up for the U.S. restaurant industry: the monthly Restaurant Industry Tracking Survey, conducted by the National Restaurant Association, recorded a performance index score of ***** – any score over 100 indicates a period of expansion. The lowest performance index score between 2011 and 2017, ****, was recorded in August 2011. In November 2016, ** percent of U.S. consumers reported that cheaper restaurants would make them dine out more often.

This survey depicts the eating out behavior of U.S. consumers in the past six months prior to the survey. Four percent of respondents stated in 2012 that they have been eating out in fast food restaurants much more frequently in this period.

In 2015, the combined sales of the leading 500 restaurant chains in the U.S. reached *** billion U.S. dollars.

This statistic shows the food and drinks sales of eating and drinking places in the United States from 2009 to 2017. Sales of eating and drinking places were forecasted to rise to approximately 551.6 billion U.S. dollars in 2017.

Eating and drinking places include full-service and limited-service restaurants, cafeterias, grill-buffets, buffets, snack and non-alcoholic beverage bars, social caterers and bars and taverns.

Restaurants in the U.S. - additional information

The restaurant industry in the United States is a large contributor to the country’s economy, providing hundreds of thousands of jobs and generating billions of dollars each year. As of fall 2015, there were more than 620 thousand restaurants in the U.S., including full service, limited service, independent and chain restaurants. Food and drink sales in eating and drinking places exceeded 527 billion U.S. dollars in 2015. The wider restaurant industry, which includes, among other establishments, retail, mobile, non-commercial and lodging food services, was forecasted to generate more than 700 billion dollars in food and drink sales in 2015.

The largest portion of food and drinks sales in the U.S. restaurant industry is generated by full service restaurants. Full service restaurants are what some may think of as traditional restaurants – sit-down restaurants with full table service, ranging from casual to fine dining. This segment was expected to make 220 billion U.S. dollars in 2015. The second largest contributor is limited service, or quick service, restaurants. Typically referred to as fast food restaurants, U.S. limited service restaurants make up the largest industry of its type worldwide.

Despite the health risks associated with it, fast food is very popular in the U.S., with more than 20 percent of consumers visiting quick service restaurants at least weekly. An August 2014 survey found that chicken sandwich chain Chick-Fil-A was America’s favorite global fast food chain.

This statistic illustrates the types of establishments out-of-home diners frequent in Europe as of quarter 3, 2015. According to the survey, almost half of consumers who eat at out-of-home establishments said they used quick-service or fast food restaurants.