The ERS Food Expenditure Series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. The ERS Food Expenditure Series contributes to the analysis of U.S. food production and consumption by constructing a comprehensive measure of the total value of all food expenditures by final purchasers. This series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. Because the term expenditure is often associated with household decisionmaking, it is important to recognize that ERS's series also includes nonhousehold purchases. For example, the series includes the dollar value of domestic food purchases by military personnel and their dependents at military commissary stores and exchanges, the value of commodities and food dollars donated by the Federal government to schools, and the value of food purchased by airlines for serving during flights.

The food dollar series measures annual expenditures by U.S. consumers on domestically produced food. This data series is composed of three primary series—the marketing bill series, the industry group series, and the primary factor series—that shed light on different aspects of the food supply chain. The three series show three different ways to split up the same food dollar. Nominal DataThe FoodDollarDataNominal.xls file and the NominalData.csv file include statistics reported in current year dollars. In the data rows, each row statistic covers a unique combination of year, unit of measurement, table number, and category number. These are defined as follows:YEAR: 1993 to 2015UNITS: reported in both cents per domestic food dollar and total domestic food dollars ($ millions)Real Data The FoodDollarDataReal.xls file and the FoodDollarDataReal.csv file include statistics reported in constant year 2009 dollars. Since the March 30, 2016 update, 2006 data in cents per domestic real food dollar units have been added to the real food dollar series.In the data rows, each row statistic covers a unique combination of year, unit of measurement, table number, and category number. These are defined as follows:YEAR: 1993 to 2014UNITS: reported in both cents per domestic food dollar and total domestic food dollars ($ millions)

A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more. How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources. How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.

Context

This dataset focuses on the Supplemental Nutrition Assistance Program (SNAP) run by the US federal government. It also has data on the historical poverty rate in the country, as well as historical food expense.

Content

Separate SNAP files for each state. Historical SNAP data, poverty rate and food expense in separate files.

Acknowledgements

• SNAP data from https://www.kaggle.com/jpmiller/publicassistance.
• Food expenditure data from https://www.ers.usda.gov/data-products/food-expenditure-series/. (I have run my own calculations on this data.)
• Poverty data from https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-people.html.
• US states population data from https://github.com/JoshData/historical-state-population-csv.

Cover photo by Anne Preble on Unsplash

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 dataset shows the expenditure on food and drink by country. Information is given on expenditure as a percentage of total income and in dollars. what you can see from the data is areas where upto 50% of total household expenditure is devoted to food. These areas tend to be poorer developing nations in Africa. The developed countries spend less, as a percentage, on food, but obviously much more in terms of actual dollars. The data was sourced from the USDA Economic Research Service (http://www.ers.usda.gov/) and there is an interesting article here (http://www.vox.com/2014/7/6/5874499/map-heres-how-much-every-country-spends-on-food). The data was a flat excel document and has been linked to geographical boundaries in ArcGIS in order to display the data as map. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-07-08 and migrated to Edinburgh DataShare on 2017-02-22.

The Quarterly Food-Away-From-Home Prices (QFAFHP) data set provides quarterly prices (not including taxes) for food away from home (FAFH) and alcohol, both at home and away from home. Food away from home is an integral component of the typical American diet and food budget; it also plays a key role in the nutrition and health of Americans. Data on variation in food prices over time and across regions allow researchers to estimate how price changes affect the demand for different products—such as through changes in quantities purchased or expenditures—and, to examine how changes in demand, in turn, affect nutritional and health outcomes.

this graph was created in OurDataWorld:

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All other (away from home) Alcohol expenditure is measured in constant 1998 US$. Values also include taxes and tips.

Source Alcohol expenditure in the USA long-term (USDA, 2018) – processed by Our World in Data Date range 1935–2014 Unit $ Links https://www.ers.usda.gov/data-products/food-expenditures.aspx

Additional information about this data

The data of this indicator is based on the following sources: Alcohol expenditure in the USA long-term (USDA, 2018) Data published by United States Department of Agriculture (USDA) Economic Research Service (ERS)

Retrieved on 27th April 2018 Retrieved from https://www.ers.usda.gov/data-products/food-expenditures.aspx How we process data at Our World in Data: All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline How to cite this data: In-line citation If you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Alcohol expenditure in the USA long-term (USDA, 2018) – processed by Our World in Data

Full citation

Alcohol expenditure in the USA long-term (USDA, 2018) – processed by Our World in Data. “All other (away from home)” [dataset]. Alcohol expenditure in the USA long-term (USDA, 2018) [original data].

This dataset contains Restaurant Availability and Expenditures metrics displayed in the U.S. Department of Agriculture (USDA) Food Environment Atlas website, including fast-food restaurant availability, full-service restaurant availability, and expenditures at fast-food and full-service restaurants.

Data was last updated on the USDA website in September 2020.

Any data elements with numerical values reflect figures at the locality-level unless otherwise specified with an asterisk (*). See column descriptions for details. For more information on all metrics in this dataset, see the Food Environment Atlas Restaurant Availability and Expenditures documentation.

How much do fruits and vegetables cost? The USDA, Economic Research Service (ERS) estimated average prices for more than 150 commonly consumed fresh and processed fruits and vegetables. Reported estimates include each product's average retail price and price per edible cup equivalent (i.e., the unit of measurement for Federal recommendations for fruit and vegetable consumption). Average retail prices are reported per pound or per pint. For many fruits and vegetables, a 1-cup equivalent equals the weight of enough edible food to fill a measuring cup. USDA, ERS calculated average prices at retail stores using 2013, 2016, 2020, and 2022 retail scanner data from Circana (formerly Information Resources Inc. (IRI)). A selection of retail establishments—grocery stores, supermarkets, supercenters, convenience stores, drug stores, and liquor stores—across the United States provides Circana with weekly retail sales data (revenue and quantity).

USDA, ERS reports average prices per edible cup equivalent to inform policymakers and nutritionists about how much money it costs U.S. households to eat a sufficient quantity and variety of fruits and vegetables. Every 5 years the Departments of Agriculture and Health and Human Services release a new version of the Dietary Guidelines for Americans with information about how individuals can achieve a healthy diet. However, the average consumer falls short in meeting these recommendations. Many people consume too many calories from refined grains, solid fats, and added sugars, and do not eat enough whole grains, fruits, and vegetables. Are food prices a barrier to eating a healthy diet? USDA, ERS research using this dataset examines the quantity and variety of fruits and vegetables that a household can afford with a limited budget. See:

• The Cost of Satisfying Fruit and Vegetable Recommendations in the Dietary Guidelines
• For Supplemental Nutrition Assistance Program (SNAP) Households, Fruit and Vegetable Affordability Is Partly a Question of Budgeting
• Americans Still Can Meet Fruit and Vegetable Dietary Guidelines for $2.10-$2.60 per Day

USDA, ERS fruit and vegetable prices will be updated each year, subject to data availability. When generating estimates using 2013, 2016, 2020, and 2022 data, USDA, ERS researchers priced similar fruit and vegetable products. However, because of different methods for coding the underlying Circana data, the entry of new products into the market, the exit of old products from the market, and other factors, the data are not suitable for making year-to-year comparisons. These data should not be used for making inferences about price changes over time.

For data on retail food price trends, see the USDA, ERS’ Food Price Outlook (FPO). The FPO provides food price data and forecasts changes in the Consumer Price Index (CPI) and Producer Price Index (PPI) for food.

For additional data on food costs, see the USDA, ERS’ Purchase to Plate (PP-Suite). The PP-Suite reports a U.S. household’s costs to consume other categories of foods in addition to fruits and vegetables, such as meats, seafood, and cereal and bakery products. Food groupings in the PP-Suite are based on the USDA, Agricultural Research Service’s (ARS) Food and Nutrient Database for Dietary Studies (FNDDS). This allows users to import price estimates for foods found in USDA dietary survey data. USDA, ARS’ FNDDS food groupings are broader than the specific food products priced for constructing this data product. They also include both conventional and organic products. For example, the PP-Suite average price to consume broccoli purchased raw is the average price paid for organic and conventional heads, crowns, and florets. By contrast, this data product distinguishes and separately reports the average costs to consume conventional raw broccoli purchased as heads and florets.

• Fruit
• Vegetables

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

This dataset contains Food Assistance metrics displayed in the U.S. Department of Agriculture (USDA) Food Environment Atlas website, including statistics for SNAP, National School Lunch Program, School Breakfast Program, Summer Food Service Program, WIC, FDPIR, and food banks. USDA's domestic food and nutrition assistance programs affect the daily lives of millions of people, with about one in four Americans participating in at least one program at some point during a given year. These programs represent a significant investment, accounting for over two-thirds of USDA's annual budget.

Data was last updated on the USDA website in September 2020.

Any data elements with numerical values reflect figures at the locality-level unless otherwise specified with an asterisk (*). See column descriptions for details. For more information on all metrics in this dataset, see the Food Environment Atlas Food Assistance documentation.

Data are provided in this collection on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 15 years old and older. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. The Food Security Supplement was conducted by the Bureau of the Census for the Food and Consumer Service of the United States Department of Agriculture. Supplement questions were asked of all interviewed households, as appropriate. Questions included expenditure for food, whether the household had enough food and had the kinds of food they wanted, and whether the household was running short of money and trying to make their food or food money go further. Additional questions dealt with getting food from food pantries or soup kitchens, cutting the size of or skipping meals, and losing weight because there wasn't enough food. The supplement was intended to research the full range of the severity of food insecurity and hunger as experienced in United States households and was used by the supplement sponsor to produce a scaled measure of food insecurity. Responses to individual items in this supplement are not meaningful measures of food insufficiency and should not be used in such a manner. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR03168.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of food security in the United States, which was administered as a supplement to the December 2004 CPS questionnaire. The CPS Food Security supplement was sponsored and conducted by the United States Census Bureau for the Economic Research Service (ERS) of the United States Department of Agriculture (USDA).The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the survey.The supplement was intended to research the full range of severity of food insecurity as experienced in United States households. The food security questions were asked of all interviewed households, as appropriate. Respondents were queried on how much the household spent for food, their use of federal and community food assistance programs, whether they were able to afford enough food, food sufficiency, and ways of coping with not having enough food. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The Food Security supplement variables can be categorized by five major sections: Food Spending (HES1A-HES8).; Minimum Food Spending Needed (HES8B-HES8D).; Food Assistance Program Participation (HES9-HESP9).; Food Sufficiency and Food Security (HESS1-HESSHM5). This section includes the 18 food security questions that are used to calculate the 12-month Food Security Scales as well as follow-up questions that are used to calculate the 30-day food security scales.; Ways of Avoiding or Ameliorating Food Deprivation -- Coping Strategies (HESC1-HESCM4).; The data contain nine weight variables: Household Weight -- HWHHWGT -- Used in tallying household-level characteristics for labor force survey variables.; Family Weight -- PWFMWGT -- Used only in tallying family-level characteristics for labor force survey variables.; Longitudinal Weight -- PWLGWGT -- Found only on adult records matched from month to month (used for gross flows analysis).; Outgoing Rotation Weight -- PWORWGT -- Used for tallying information collected only in outgoing rotations.; Final Weight -- PWSSWGT -- Used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex.; Veteran's Weight -- PWVETWGT -- Used for tallying veteran's data only.; Composited Final Weight -- PWCMPWGT -- Used to create BLS's published labor force statistics.; Supplement Household Weight -- HHSUPWGT -- Used in tallying household-level characteristics for supplement survey variables.; Supplement Person Weight -- PWSUPWGT -- Used in tallying household member-level characteristics for supplement survey variables.; Users are strongly encouraged to refer to the User Guide for additional detailed information on how to use these weights, as well as how they were derived. Presence of Common Scales: Detailed information regarding the scales is located in Attachment 17 of the User Guide. The basic CPS universe is comprised of all persons in the civilian noninstitutionalized population of the United States living in households. The December 2004 supplement universe represented the full CPS sample comprised of all interviewed CPS households. The CPS uses a multistage probability sample based on results of the decennial census, with coverage in all 50 states and the District of Columbia. 2011-09-07 The ASCII data for this collection have been completely replaced. The data collection has been updated to include SAS, SPSS, and Stata setup files for use with the new data. Also included in the update are a corresponding SAS transport (CPORT) file, SPSS system file, Stata system file, and a tab-delimited version of the new ASCII data. computer-assisted personal interview (CAPI), computer-assisted telephone interview (CATI) Information on the Federal Food Security Measurement Project, is available from the Economic Research Service Food Security in the United States Briefing Room.The Food Security supplement items were...

North America Food Acidulants Market size was valued at USD 2.65 Billion in 2024 and is projected to reach USD 4.15 Billion by 2032, growing at a CAGR of 5.8% from 2026 to 2032.

Key Market Drivers

Growing Demand for Processed and Convenience Foods: The increased demand for processed and convenience foods is driving up the usage of food acidulants as preservatives and flavor enhancers. According to the USDA Economic Research Service, processed food expenditures in the United States will exceed $1.1 trillion in 2022, accounting for 65% of total food spending. American families will spend nearly 10% more on processed foods than they did five years ago. This change is being driven by a growing demand for ready-to-eat, long-lasting products that require acidulants for taste stabilization, preservation, and product freshness.

The SNAP Policy Database provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). The database includes information on State-level SNAP policies relating to eligibility criteria, recertification and reporting requirements, benefit issuance methods, availability of online applications, use of biometric technology (such as fingerprinting), and coordination with other low-income assistance programs. Data are provided for all 50 States and the District of Columbia for each month from January 1996 through December 2011.

The information in this database can facilitate research on factors that influence SNAP participation and on SNAP's effects on a variety of outcomes, such as health and dietary intake. More specifically, the database can be used to:

• Describe the differences in the State-level administration of SNAP and trends in the adoption of specific State-level SNAP policies,
• Examine how State policies affect household-level participation in SNAP, and
• Estimate the effect of SNAP participation on outcomes such as health and food spending by combining this data with nationally representative survey data. The SNAP Policy Database provides a potentially exogenous source of variation in program participation and can be used in instrumental variables estimation techniques.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: SNAP Policy Data Sets For complete information, please visit https://data.gov.