This dataset contains State Food Insecurity metrics displayed in the U.S. Department of Agriculture (USDA) Food Environment Atlas website, including the U.S. Household Food Security Scale. The U.S. Household Food Security Scale is designed to register even occasional or episodic occurrences of food insecurity. Some households may be classified as food insecure or as having very low food security based on a single episode during the year. An estimated 11.8 percent of American households were food insecure at least some time during the year in 2017, meaning they lacked access to enough food for an active, healthy life for all household members. That is down from 12.3 percent in 2016. The prevalence of very low food security also declined, to 4.5 percent from 4.9 percent in 2016. A more complete picture of the temporal patterns of food insecurity in U.S. households sheds light on the nature and seriousness of the food access problems households face and can aid in the design and management of programs to improve food security.

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 State Food Insecurity documentation.

https://map.feedingamerica.org/Every community in the country is home to people who struggle with hunger. Since federal nutrition programs don’t reach everyone in need, food banks help fill the gap. Learn more about local food insecurity by exploring data from Feeding America’s annual Map the Meal Gap study. When we better understand hunger, we can help end hunger.What is food insecurity and what does it look like in America?Food insecurity refers to USDA’s measure of lack of access, at times, to enough food for an active, healthy life for all household members and limited or uncertain availability of nutritionally adequate foods. Food-insecure households are not necessarily food insecure all the time. Food insecurity may reflect a household’s need to make trade-offs between important basic needs, such as housing or medical bills, and purchasing nutritionally adequate foods.Thumbnail: https://www.independent.com/2017/02/24/welcome-department-food-security/Splash screen Image: https://i.shgcdn.com/cbe4de4a-0927-4fd9-b3bd-5df086a72ec2/-/format/auto/-/preview/3000x3000/-/quality/lighter/Gundersen, C., A. Dewey, M. Kato, A. Crumbaugh & M. Strayer. Map the Meal Gap 2019: A Report on County and Congressional District Food Insecurity and County Food Cost in the United States in 2017. Feeding America, 2019.

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.

This data section provides information about publicly available national surveys that include questions from the U.S. Food Security Survey Module. Information on each survey and directions for accessing data files are available in the documentation.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 For complete information, please visit https://data.gov.

This statistic shows the share of individuals that used food pantries and emergency kitchens in the United States in 2021, by household food security status. At that time, a 2.7 percent share of individuals from food secure households used food pantries in the United States. Compared to 2020, this figure has declined by 0.5 percent. The dataset has been discontinued by the source. This content will not be updated. More up-to-date content on the share of people living in food insecurity who receive free meals or groceries can be found here. Data is provided by the same source.

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.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). Households experiencing food insecurity are defined as those with low food security or very low food security in the last 12 months. Food insecurity is assessed by a scaled variable created from a series of five questions.Food insecurity, or the inability to reliably afford or access sufficient quantities of healthy food, affects hundreds of thousands of low-income households in Los Angeles County. Food insecurity during childhood is associated with delayed development, inability to concentrate in school, diminished academic performance, anxiety, depression, and early-onset obesity. Increasing enrollment in food assistance programs, such as the Supplemental Nutrition Assistance Program (known as CalFresh in California) or the Special Supplemental Nutrition Program for Women, Infants, and Children (better known as WIC) is an important measure that cities and communities can take to combat food insecurity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Provides data that will measure hunger and food security. It will provide data on food expenditure, access to food, and food quality and safety.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). Households experiencing food insecurity are defined as those with low food security or very low food security in the last 12 months. Food insecurity is assessed by a scaled variable created from a series of five questions.Food insecurity, or the inability to reliably afford or access sufficient quantities of healthy food, affects hundreds of thousands of low-income households in Los Angeles County. Food insecure adults are at increased risk for poor dietary intake and developing chronic conditions, such as type 2 diabetes, hypertension, hyperlipidemia, obesity, and psychological distress or depression. Increasing enrollment in food assistance programs, such as the Supplemental Nutrition Assistance Program (known as CalFresh in California) or the Special Supplemental Nutrition Program for Women, Infants, and Children (better known as WIC) is an important measure that cities and communities can take to combat food insecurity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Please find attached the zip file to access the data.

For the eleventh consecutive year, Feeding America conducted our annual Map the Meal Gap study to improve our understanding of food insecurity and food costs at the local level. The most recent release is based on data from 2019. In response to COVID-19, we also released a companion study and interactive map that illustrate the projected impact of the pandemic on local food insecurity in 2020 and 2021. To better assess the current and future state of local food insecurity, it is critical to understand historical variations prior to the pandemic. Only then can we develop effective strategies to reach people at risk of hunger.

This dataset contains Supplemental Data at the county level from the U.S. Department of Agriculture (USDA) Food Environment Atlas website. ERS (Economic Research Service, USDA) researchers and others who analyze conditions in "rural" America most often study conditions in nonmetropolitan (nonmetro) areas, defined on the basis of counties. Counties are the standard building block for collecting economic data and for conducting research to track and explain regional population and economic trends.

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

Any data elements with numerical values reflect figures at the locality-level. See column descriptions for details. For more information on all metrics in this dataset, see the Food Environment Atlas Data Access and Documentation Downloads website.

About 10% of Americans are food insecure, lacking consistent access to enough food for a healthy lifestyle. One way that the federal government seeks to reduce food insecurity is by investing in charitable food providers, such as food banks and pantries. This paper highlights a limitation on the potential effects of these investments on food insecurity: some communities have more of these providers than others. We support this claim with an analysis of the Farmers to Families Food Box Program, a U.S. COVID-19 program which distributed about 175 million boxes of food worth $9 billion to food pantries from May 2020 to May 2021. Consistent with our expectations, we find that food was targeted primarily to food insecure counties, but that counties with high rates of food insecurity that lack many food pantries received significantly less food than counties with equally high rates of food insecurity but more food pantries. Moving forward, policymakers should focus on providing direct aid to those in need, and on building a charitable food system rather than only investing more resources in the existing system.

This dataset contains Socioeconomic Characteristics metrics displayed in the U.S. Department of Agriculture (USDA) Food Environment Atlas website, including County resident population by groupings of humans based on shared physical or social qualities into categories generally viewed as distinct by society.

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 Socioeconomic Characteristics documentation.

South Sudan Integrated Food Security Phase classification and population by state and County.

The Integrated Food Security Phase Classification (IPC), also known as IPC scale, is a tool for improving food security analysis and decision-making. It is a standardized scale that integrates food security, nutrition and livelihood information into a statement about the nature and severity of a crisis and implications for strategic response.

The IPC was originally developed for use in Somalia by the United Nations Food and Agriculture Organization's Food Security Analysis Unit (FSAU). Several national governments and international agencies, including CARE International, European Commission Joint Research Centre (EC JRC), Food and Agricultural Organization of the United Nations (FAO), USAID/FEWS NET, Oxfam GB, Save the Children UK/US, and United Nations World Food Programme (WFP), have been working together to adapt it to other food security contexts

This data set represents the total number of Californians age 60 and over who were provided a meal from the Older Americans Act Title IIIC-1 Nutrition Services Program – Congregate Meals. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

The table 2019 is part of the dataset US Census Bureau Current Population Survey Food Security Supplement (CPS-FSS), available at https://redivis.com/datasets/2yrs-70f4qgqe5. It contains 138964 rows across 510 variables.

This data set represents the total number of Californians age 60 and over who were provided a home delivered meal from the Older Americans Act Title IIIC-2 Nutrition Services Program. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

Sheet 1 describes the per capital electricity that is generated country and region-wise from all across the globe, and it shows that Africa's energy generation in comparison to the rest of the world has been the lowest. Sheet 2 describes the number of people that are severely insecure and have no access to food, and it has been depicted according to the different areas that Africa is divided into. The trend shows that every year, the number of people who are severely food insecure keep increasing at a drastic rate. Sheet 3 FAO real food prices - it gives us a trend of how food prices have changed ever since the Ukraine-Russia war started.

The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.

The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA). SNAP provides millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2022, SNAP served an average of 41.2 million people monthly and paid out $114 billion in benefits, including emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency.The characteristics of SNAP participants and households and the size of the SNAP caseload change over time in response to changes in program rules as well as economic and demographic trends. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) Database. This database is an edited version of the raw data file of monthly case reviews that are conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for their SNAP caseloads. These data cover FY 2022.