Average Per capita food consumption (kg per year), Harvested from Annual Household Survey 2015/16, Government of Nepal, National Planning Commission Secretariat, Central Bureau of Statistics.

This timeline depicts the average annual food away-from-home expenditure of United States households from 2010 to 2023. In 2023, the average food away-from-home expenditure of U.S. households amounted to about 3,933 U.S. dollars. In 2020, there was a significant drop, which was likely a result of the COVID-19 pandemic. However, spending has recovered from the lowest point in 2020.

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.

The Current Population Survey Food Security Supplement (CPS-FSS) is the source of national and State-level statistics on food insecurity used in USDA's annual reports on household food security. The CPS is a monthly labor force survey of about 50,000 households conducted by the Census Bureau for the Bureau of Labor Statistics. Once each year, after answering the labor force questions, the same households are asked a series of questions (the Food Security Supplement) about food security, food expenditures, and use of food and nutrition assistance programs. Food security data have been collected by the CPS-FSS each year since 1995. Four data sets that complement those available from the Census Bureau are available for download on the ERS website. These are available as ASCII uncompressed or zipped files. The purpose and appropriate use of these additional data files are described below: 1) CPS 1995 Revised Food Security Status data--This file provides household food security scores and food security status categories that are consistent with procedures and variable naming conventions introduced in 1996. This includes the "common screen" variables to facilitate comparisons of prevalence rates across years. This file must be matched to the 1995 CPS Food Security Supplement public-use data file. 2) CPS 1998 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1998 data file. 3) CPS 1999 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1999 data file. 4) CPS 2000 30-day Food Security data--Subsequent to the release of the September 2000 CPS-FSS public-use data file, USDA developed a revised 30-day CPS Food Security Scale. This file provides three food security variables (categorical, raw score, and scale score) for the 30-day scale along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS September 2000 data file. Food security is measured at the household level in three categories: food secure, low food security and very low food security. Each category is measured by a total count and as a percent of the total population. Categories and measurements are broken down further based on the following demographic characteristics: household composition, race/ethnicity, metro/nonmetro area of residence, and geographic region. The food security scale includes questions about households and their ability to purchase enough food and balanced meals, questions about adult meals and their size, frequency skipped, weight lost, days gone without eating, questions about children meals, including diversity, balanced meals, size of meals, skipped meals and hunger. Questions are also asked about the use of public assistance and supplemental food assistance. The food security scale is 18 items that measure insecurity. A score of 0-2 means a house is food secure, from 3-7 indicates low food security, and 8-18 means very low food security. The scale and the data also report the frequency with which each item is experienced. Data are available as .dat files which may be processed in statistical software or through the United State Census Bureau's DataFerret http://dataferrett.census.gov/. Data from 2010 onwards is available below and online. Data from 1995-2009 must be accessed through DataFerrett. DataFerrett is a data analysis and extraction tool to customize federal, state, and local data to suit your requirements. Through DataFerrett, the user can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands then turn those spreadsheets into graphs and maps without any additional software. Resources in this dataset:Resource Title: December 2014 Food Security CPS Supplement. File Name: dec14pub.zipResource Title: December 2013 Food Security CPS Supplement. File Name: dec13pub.zipResource Title: December 2012 Food Security CPS Supplement. File Name: dec12pub.zipResource Title: December 2011 Food Security CPS Supplement. File Name: dec11pub.zipResource Title: December 2010 Food Security CPS Supplement. File Name: dec10pub.zip

Graph and download economic data for Global price of Food index (PFOODINDEXA) from 1992 to 2024 about World, food, indexes, and price.

Consumption Exp per Capita: Year to Date: Food Service: Taiyuan data was reported at 223.780 RMB in Mar 2011. This records a decrease from the previous number of 631.010 RMB for Dec 2010. Consumption Exp per Capita: Year to Date: Food Service: Taiyuan data is updated quarterly, averaging 412.560 RMB from Mar 2007 (Median) to Mar 2011, with 17 observations. The data reached an all-time high of 811.520 RMB in Dec 2009 and a record low of 171.820 RMB in Mar 2010. Consumption Exp per Capita: Year to Date: Food Service: Taiyuan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Consumption Expenditure per Capita: City: Food.

U.S. consumers were asked how much money they spent on average on groceries per week. The findings present that U.S. households' weekly grocery expenditure amounted to about 165 U.S. dollars in 2024. Between 2019 and 2024, the average weekly expenditure grew exponentially, favored by the pandemic first and inflation after. Food affordability Since the pandemic, food affordability has been a challenge for consumers around the world, leading to changes around their food consumption. In the United States, meats, specialty foods and snacks are among the less purchased products, other changes include the purchase of generic products to save money on groceries. Generational differences Due to the rise of online grocery shopping, the difference in generational consumer behavior is significant. Millennials are most likely to shop online for their groceries, followed by Gen Z, while older generations prefer in-store shopping. When it comes to shopping frequency, those aged between 25 and 34 tended to shop more often compared to the youngest and oldest generations.

Consumption Exp per Capita: Year to Date: Food Service: Chengdu data was reported at 445.080 RMB in Mar 2011. This records a decrease from the previous number of 1,329.900 RMB for Dec 2010. Consumption Exp per Capita: Year to Date: Food Service: Chengdu data is updated quarterly, averaging 593.460 RMB from Mar 2007 (Median) to Mar 2011, with 17 observations. The data reached an all-time high of 1,329.900 RMB in Dec 2010 and a record low of 206.630 RMB in Mar 2008. Consumption Exp per Capita: Year to Date: Food Service: Chengdu data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Consumption Expenditure per Capita: City: Food.

Graph and download economic data for Expenditures: Other Food at Home by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) (CXUOTHRFOODLB1508M) from 2014 to 2023 about percentile, tax, expenditures, food, income, and USA.

Graph and download economic data for Combined Inputs Costs for Manufacturing: Fruit and Vegetable Preserving and Specialty Food Manufacturing (NAICS 3114) in the United States (IPUEN3114M021000000) from 1988 to 2021 about preservation, fruits, cost, vegetables, NAICS, IP, food, manufacturing, and USA.

Graph and download economic data for Expenditures: Food by Race: White and All Other Races, Not Including Black or African American (CXUFOODTOTLLB0903M) from 2003 to 2023 about white, expenditures, food, and USA.

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)

Graph and download economic data for Per Capita Personal Consumption Expenditures: Services: Food Services and Accommodations for Washington (WAPCEPCFDSRVACCMD) from 1997 to 2023 about accommodation, WA, PCE, consumption expenditures, per capita, food, consumption, personal, services, and USA.

This statistic depicts the consumer price index (CPI) for food in the United States from 1960 to 2024. In December 2024, the consumer price index (CPI) for food amounted to ******, compared to the period from 1982 to 1984 (=100).

Graph and download economic data for Unit Labor Costs for Manufacturing: Food Manufacturing (NAICS 311) in the United States (IPUEN311U100000000) from 1987 to 2024 about unit labor cost, NAICS, IP, food, manufacturing, and USA.

Consumption Exp per Capita: Year to Date: Food Service: Guangzhou data was reported at 897.090 RMB in Mar 2011. This records a decrease from the previous number of 2,922.020 RMB for Dec 2010. Consumption Exp per Capita: Year to Date: Food Service: Guangzhou data is updated quarterly, averaging 1,597.630 RMB from Mar 2007 (Median) to Mar 2011, with 17 observations. The data reached an all-time high of 2,922.020 RMB in Dec 2010 and a record low of 592.990 RMB in Mar 2007. Consumption Exp per Capita: Year to Date: Food Service: Guangzhou data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Consumption Expenditure per Capita: City: Food.

Graph and download economic data for Expenditures: Miscellaneous Foods by Generation: Birth Year from 1946 to 1964 (CXUMISCFOODLB1604M) from 2016 to 2023 about miscellaneous, birth, expenditures, food, and USA.

Graph and download economic data for Government social benefits: to persons: Federal: Supplemental Nutrition Assistance Program (SNAP) (TRP6001A027NBEA) from 1961 to 2023 about assistance, social assistance, nutrition, food stamps, benefits, federal, food, government, GDP, and USA.

Graph and download economic data for Expenditures: Food Away from Home by Size of Consumer Unit: Five or More People in Consumer Unit (CXUFOODAWAYLB0507M) from 1988 to 2023 about consumer unit, expenditures, food, housing, and USA.