The ERS Food Availability (Per Capita) Data System (FADS) includes three distinct but related data series on food and nutrient availability for consumption. The data serve as popular proxies for actual consumption at the national level. Food availability data are now updated through 2011, the most recent year available; these data are the foundation for the other two series. Loss-adjusted food availability data are also available through 2011 for most products but are preliminary estimates. Nutrient availability data are provided through 2006, as this data series has not yet been updated beyond 2006.

Get statistical data on the availability of selected food products in Canada. Data includes the availability of the following types of commodities:

• fruits
• vegetables
• red meats
• poultry
• eggs
• dairy products
• baked goods
• other food items

This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx

The food availability index of India was over **** in 2023, a slight increase from the previous year. India was rated ** as the score for volatility of agricultural production. Whereas, political and social barriers to access in the country were scored at **** that year.

This EnviroAtlas dataset contains a count of the number of local farmers markets within each subwatershed (12-digit HUC) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

In 2022, UAE had the highest food availability score of **** percent in the Middle East and North Africa (MENA) region. It was followed by Qatar with scores of **** percent 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

This EnviroAtlas dataset contains a count of the number of local farmers markets within each census block group (CBG) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The annual availability of food grains in India for fiscal year 2023 amounted to about ***** kilograms per capita. There has been a consistent increase in the availability of food grains annually since 2015.

Food Price Index in World increased to 130.10 Index Points in July from 128 Index Points in June of 2025. This dataset includes a chart with historical data for World Food Price Index.

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.

The Johns Hopkins Center for a Livable Future (CLF) calculated HFAI scores for all food stores in Baltimore, in summer 2012, using an adapted version of the NEMS-S (Nutrition Environment Measures Survey in Stores) tool. The NEMS-S tool was developed by researchers at the Rollins School of Public Health at Emory University to measure the nutritional environment of food retail stores and was designed to assess healthy food availability in grocery and convenience stores. CLF obtained a food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants, and temporary locations such as farmers' market stands and street carts. HFAI scores range from zero to 28.5, with higher scores indicating more availability of healthy and whole food in a food store. Source: Johns Hopkins University, Center for a Livable Future Years Available: 2012, 2015

Graph and download economic data for Global price of Food index (PFOODINDEXM) from Jan 1992 to Jun 2025 about World, food, indexes, and price.

BackgroundThere is limited research tracking changes in home food availability during the first 3 years of life and whether the family context influences these changes.ObjectiveThis study examined changes in and predictors of home food availability across the first 3 years of life.DesignThis study utilized longitudinal data from the STRONG Kids2 birth cohort from the target child at 6 weeks to 36 months postpartum.ParticipantsMothers of 468 children were surveyed at 6 weeks, 3, 12, 24, and 36 months postpartum.MethodsHome observations were completed by trained research assistants to complete the presence of foods in the home. The primary outcomes were the availability of 10 food groups and scores from the Home Food Inventory (HFI), including dairy (regular fat), dairy (reduced fat), processed meats, other meats and non-dairy protein, savory snacks, vegetables, vegetables (no potatoes), and three obesogenic scores. Repeated measures ANOVA were used to examine changes in the HFI food groups and obesogenic scores over time. Multilevel regressions were conducted to examine whether the presence of an older sibling, entry into childcare, and mother’s return to full-time work were associated with the HFI.ResultsSignificant changes were detected for dairy (regular fat), other meats and non-dairy protein, savory snacks, vegetables, vegetables (no potatoes), and all obesogenic scores across time. A linear trend occurred for most HFI groups, however, the third obesogenic score (without milk and cheese) was highest at 3 months, declined at 12 months, and then slowly increased from 12 to 36 months years. The presence of an older sibling was a consistent predictor of the HFI groups over time. Entry into childcare was only associated with the availability of processed meats.ConclusionThe availability of food types shift as children age and their dietary needs alter. It is important to consider the whole family context such as the presence of older siblings whose dietary needs may differ from younger children. Future efforts are warranted to consider changes in food availability among diverse samples and different family structures.

Understanding food environments is crucial for developing policies and interventions to enhance the healthfulness and sustainability of UK diets. We systematically reviewed published scientific research to answer two research questions. First, what types and domains of the food environment have been assessed in the UK using what methodologies? Domains included availability, affordability, promotion, product characteristics/quality, convenience, and sustainability. Second, what outcomes have been assessed in relation to food environments? Outcomes were classified as descriptive (describing the food environment), dietary intake, and health. Articles published between January 2000 and December 2024 were identified by searching seven databases: CAB Abstracts, CINAHL, EMBASE, Global Health, PubMed, Scopus, and Web of Science. A total of 31,457 articles were identified, 3,418 full texts were reviewed, and 286 articles were included. Another 26 articles were included after screening the references of articles identified in the database search. Thus, data were extracted from a total of 312 articles. The most common domain studied was availability (n=100, 32%), followed by product characteristics/quality (n=94, 30%) and promotion (n=33, 10%). There was a paucity of research on the domains of sustainability (n=19, 6%) and affordability (n=16, 5%), with no articles on the domain of convenience. Only 49 articles (16%) evaluated more than one domain. Most articles were descriptive (n=206, 66%); 64 (20%) evaluated the association of the food environment with dietary intake and 42 (13%) evaluated the association with health, nearly all with obesity.Though several recent government initiatives aim to improve the healthfulness of food environments in the UK, more research is needed to understand how different domains of the food environment interact to influence dietary intakes and overall health.

As of 2024, UK consumers between the ages of ** and ** were most concerned about food availability and food shortages, with ** percent stating they were either somewhat or highly concerned. Other age groups were slightly less worried.

Global Roots and Tubers Food Fat Availability by Country, 2024 Discover more data with ReportLinker!

This product provides information on annual measures of the availability of food for consumption on a per person basis for selected food Products in Canada, for a ten-year period.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.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.

Abstract Aim:To evaluate and compare household food security situations in the rural area of a Brazilian city by three different methods: Availability of food energy at home, nutritional status and Perception of food insecurity. Methods: Cross-sectional study of 79 families living in 19 rural communities in a small city in Minas Gerais, Brazil, including a total of 272 residents. Families were selected by drawing lots, respecting the proportionality of families per community. The inclusion criteria included living in rural areas, inhabiting a selected household, and using food products available for consumption, by purchase and production. During family visits, nutritional status was analyzed by anthropometry, the perception of food insecurity by Food Insecurity Scale (EBIA) and availability of food energy at household for 30 days. Results: Of the 79 families of family farmers, 12.7% were considered to be unsafe for availability of food energy at household, 24.0% due to the presence of low weight at the household and 49.5% by EBIA. There was a low correlation among the methods, with differences between them (Kendall W 0.162 p