http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
The Comprehensive Food Consumption Database is a source of information on food consumption across the European Union (EU). It contains detailed data for a number of EU countries. The database plays a key role in the evaluation of the risks related to possible hazards in food in the EU and allows estimates of consumers’ exposure to such hazards, a fundamental step in EFSA’s risk assessment work. The database was also relevant for other fields of EFSA’s work, such as the assessment of nutrient intakes of the EU population. EFSA used its food classification system ‘FoodEx’ to categorise all foods and beverages included in the Comprehensive Database.
Summary statistics from the database enable quick screening for chronic and acute exposure to substances and organisms that may be found in the food chain. In the database, dietary surveys and food consumption data for each country are divided by category. These include: age, from infants to adults aged 75 years or older; food group (over 1,500) and type of consumption, covering both regular and high consumption thus allowing calculations to be tailored to each category of consumer.
The statistics on food consumption are reported in grams per day (g/day) and grams per day per kg of body weight (g/kg bw per day). The statistics for chronic food consumption are available for the total population (‘all subjects’) and for consumers of respective food categories. The statistics for acute consumption are available for all days and for the consuming days.
These food consumption statistics are stored and presented in the EFSA Data Warehouse.
The volume of global food consumption has been ever-increasing since 2015. In 2021, the global consumption of food reached 2.5 billion metric tones. Bread and cereal products were the largest category of consumption, accounting for 626 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.
Food consumption in terms of the Dietary Guidelines for Americans’ food groups is reported for all sources and the total U.S. population, as well as by food source, children age 2-19, and adults age 20 and older.
Concerning the 13 selected segments, the segment Dairy Products & Eggs has the largest average volume per capita with ****** kilograms. Contrastingly, Baby Food is ranked last, with **** kilograms. Their difference, compared to Dairy Products & Eggs, lies at ****** kilograms. Find more statistics on other topics: a comparison of the revenue in Europe and a comparison of countries or regions regarding the revenue.The Statista Market Insights cover a broad range of additional markets.
These family food datasets contain more detailed information than the ‘Family Food’ report and mainly provide statistics from 2001 onwards. The UK household purchases and the UK household expenditure spreadsheets include statistics from 1974 onwards. These spreadsheets are updated annually when a new edition of the ‘Family Food’ report is published.
The ‘purchases’ spreadsheets give the average quantity of food and drink purchased per person per week for each food and drink category. The ‘nutrient intake’ spreadsheets give the average nutrient intake (eg energy, carbohydrates, protein, fat, fibre, minerals and vitamins) from food and drink per person per day. The ‘expenditure’ spreadsheets give the average amount spent in pence per person per week on each type of food and drink. Several different breakdowns are provided in addition to the UK averages including figures by region, income, household composition and characteristics of the household reference person.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Food Consumption Table (FCT) provides estimates of daily intakes of foods (means and percentiles) obtained using data from the 2015 Canadian Community Health Survey (CCHS) Nutrition. Estimates were generated at three different food grouping levels based on the food group list from the Bureau of Nutritional Sciences, Food Directorate, Health Canada. These estimates are presented for two consumption populations: “all persons” and “eaters only”. Each estimate is further broken down by various age-sex categories. For both consumption populations, estimates are available in two different units: 1) grams per person per day and 2) grams per kilogram of body weight per day. The User Guide, Read Me file, Food Group List and Body Weights table provide detailed information to facilitate use of the FCT.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Total and marginal budget shares and income and price elasticities are estimated, using 2005 ICP data, for nine broad consumption groups and eight food subgroups across 144 countries.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.
This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in the United States between 2016 and 2018. In 2018, 29.42 percent of respondents in the United States stated they eat fast food less than once per week.
https://www.rivm.nl/en/dutch-national-food-consumption-survey/publicationshttps://www.rivm.nl/en/dutch-national-food-consumption-survey/publications
Study to monitor the food consumption and intake of energy and nutrients of the general Dutch population.
Food consumption data give insight into the consumption of foods, intake of macro- and micro-nutrients, and of potential harmful chemical substances, and the development of food and nutrition trends.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Average per-capita food consumption distribution by categories (Rs), Harvested from Annual Household Survey 2015/16, Government of Nepal, National Planning Commission Secretariat, Central Bureau of Statistics.
Data on food consumption in Segamil and Paisano in Guatemala In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
As of February 15, 2024, about ** percent of the population of Afghanistan experienced and suffered from insufficient food consumption. It is only superseded by Somalia, where a share of ** percent of the population suffers from insufficient food intake. The ** countries shown here accounted for about ** percent of the total number of people with insufficient food consumption. Not all countries are included in the monitoring of the source. Insufficient food consumption covers individuals who eat staples and vegetables daily, and also consume vegetable oil and pulses a few times a week, and everyone who eats less than that.Compared to September 19, 2022, the share of people in the top 12 has grown by ***** percent.
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
This report presents the main results derived from the analysis of the food data collected in the 2019/20 HIES to inform current patterns on food and nutrient consumption in Marshall Islands. The analysis of the food insecurity experience scale data collected in the 2019/20 HIES reveals that more than one household in three is experiencing moderate or severe levels of food insecurity, which means they are lacking money or other resources to access foods in enough quantity or of good quality. The further analysis of the food data collected in the same survey finds that for around 5 percent of Marshallese, their dietary intake is lower than their basic dietary needs to maintain a normal active and healthy life.
The Food Statistics Pocketbook presents a selection of information covering the economic, social and environmental aspects of the food we eat. It contains statistics for different time periods, but always using latest available data at the time of release. Data comes from surveys run by Defra and the Office for National Statistics and from a wide range of other sources including government departments, agencies and commercial organisations.
The full publication is available here: Food statistics pocketbook
Associated datasets from this publication are also available. Data are a mixture of National Statistics, Official Statistics and unofficial statistics. Unofficial statistics are used where there are gaps in the evidence base. Where National Statistics are used this is indicated. Further information on National Statistics can be found on the https://code.statisticsauthority.gov.uk/" class="govuk-link">UK Statistics Authority website.
The four separate “chapter” pages, and the glossary, have been combined into one webpage to simplify navigation.
Please answer https://docs.google.com/forms/d/e/1FAIpQLSdhEn_EZ-KD4iFbGhHaZJVdqd5sLycNz383H2zB-1vBDRP-Sg/viewform?usp=sf_link" class="govuk-link">4 short questions (opens in Google Forms) to help us make the pocketbook better for you.
Enquiries to: familyfood@defra.gov.uk Lead statistician: David Lee Tel: 0208 026 3006
Production team: David Lee, Isabella Worth, Jonathan Smith, Leigh Riley, Chris Silwood, Matthew Keating and Jess Booth.
You can also contact us via Twitter: https://twitter.com/defrastats" class="govuk-link">@DefraStats
Food Statistics team
Department for Environment, Food and Rural Affairs
2nd Floor, Seacole Building
2 Marsham Street
London
SW1P 4DF
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.
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet of sixin the Guatemala Food Consumption Data.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Real personal consumption expenditures: Food (DFXARX1M020SBEA) from Jan 2007 to May 2025 about PCE, consumption expenditures, food, consumption, personal, real, and USA.
In a 2023 conducted survey among fast food consumers in Australia, just over ********* of respondents reported eating fast food at least once a week. Around ** percent of those surveyed said they get a meal deal with chips and a drink every time they eat at or order from a quick service restaurant (QSR).
http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
The Comprehensive Food Consumption Database is a source of information on food consumption across the European Union (EU). It contains detailed data for a number of EU countries. The database plays a key role in the evaluation of the risks related to possible hazards in food in the EU and allows estimates of consumers’ exposure to such hazards, a fundamental step in EFSA’s risk assessment work. The database was also relevant for other fields of EFSA’s work, such as the assessment of nutrient intakes of the EU population. EFSA used its food classification system ‘FoodEx’ to categorise all foods and beverages included in the Comprehensive Database.
Summary statistics from the database enable quick screening for chronic and acute exposure to substances and organisms that may be found in the food chain. In the database, dietary surveys and food consumption data for each country are divided by category. These include: age, from infants to adults aged 75 years or older; food group (over 1,500) and type of consumption, covering both regular and high consumption thus allowing calculations to be tailored to each category of consumer.
The statistics on food consumption are reported in grams per day (g/day) and grams per day per kg of body weight (g/kg bw per day). The statistics for chronic food consumption are available for the total population (‘all subjects’) and for consumers of respective food categories. The statistics for acute consumption are available for all days and for the consuming days.
These food consumption statistics are stored and presented in the EFSA Data Warehouse.