Polygons in this layer represent Census Tracts in the DMV (DC, Maryland, and Virginia). Data are included for each tract which estimate hunger and food insecurity. Data were compiled by the CAFB through internal tracking, and the layer was shared with the DC government as a courtesy. Fields include (all available for 2015 and 2014):15_FI_Rate: The estimated portion of the population in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_FI_Pop: The estimated number of people in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_LB_Need: The estimated pounds of food needed by the food insecure population in the census tract. 15/14 indicates year measured.15_Distrib: The number of pounds of food distributed by CAFB and partners in the census tract. 15/14 indicates year in which the distribution took place.15_LB_Unme: The difference between the estimated pounds of food needed and the real pounds of food distributed by CAFB and partners, representing the unmet need for food assistance in the census tract. 15/14 indicates year.The layer was shared with the DC government in May 2016 and is based on 2015 and 2014 data.

Analysis of ‘🥫 Food Pantry and User Data ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/food-pantry-and-user-data-agencye on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

This dataset identifies locations of food pantry service providers, food insecure people concentrations, and seasonal service demand variability.

Source: https://handsoncentralohio.org/
Last updated at https://discovery.smartcolumbusos.com : 2018-05-08

This dataset was created by Kelly Garrett and contains around 1000 samples along with Update User, Asl, technical information and other features such as: - Location Id - Add Date - and more.

How to use this dataset

• Analyze Director in relation to Printcol1
• Study the influence of Special Event Flag on Print Labels Flag
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Kelly Garrett

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--- Original source retains full ownership of the source dataset ---

Abstract copyright UK Data Service and data collection copyright owner. The Trussell Trust has commissioned 'Hunger in the UK', a multi-year large-scale quantitative and qualitative research project to help support their strategic vision of ending the need for food banks. The Trussell Trust has appointed Ipsos Mori to deliver this research. The project focuses on three elements, each intended to build on existing evidence from research that the Trussell Trust had previously commissioned:1. Exploring the life experiences and socio-demographics of people referred to food banks in the Trussell Trust network through quantitative research. This study includes a survey of people referred to food banks in the Trussell Trust network. The survey collected a broad range of demographic and socioeconomic status information at both the individual and household level.2. A survey of the general population of the United Kingdom to establish benchmarks of, and track over time, the level of destitution, food-aid use, and food insecurity amongst this population. This survey mirrors the survey of people referred to food banks, thereby allowing for a comparative analysis of both populations. 3. Qualitative research with people experiencing food insecurity and destitution to understand their lived experience and enrich understanding of the drivers of food bank use and the impact on individuals and families.**Currently, this study includes only the survey data from elements 1. and 2. of the project.The research aims to contribute to the Trussell Trust’s goal of ending the need for food banks across the UK by providing evidence on the drivers of food insecurity and the need to receive support from a food bank. It allows exploration of the groups of people who are more likely to need support, how these experiences differ across the countries of the United Kingdom and what factors may allow people to escape food insecurity.Further information may be found on The Trussell Trust's Hunger in the UK webpage. Main Topics: The survey data collected includesHousehold composition, activities and employment Attitudinal statements Health and personal support Life events and housing Finance Sources of support and cost of living Food insecurityDemographics Food Bank Survey: Questionnaires were distributed in food parcels by 99 food banks. These food banks were selected at random. General Population Survey: A random probability unclustered address-based sampling method. This means that every household in the UK has a known chance of being selected to join the panel. Self-completion 2022 AGE BASIC NEEDS CHARITABLE ORGANIZA... CHILDREN CONDITIONS OF EMPLO... COST OF LIVING COSTS Consumption and con... DEBILITATIVE ILLNESS DEBTS DISABLED PERSONS ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EMPLOYMENT EMPLOYMENT CONTRACTS ETHNIC GROUPS EXPENDITURE Equality FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD AID FOOD AND NUTRITION FOOD RESOURCES FOSTER CARE FREE SCHOOL MEALS GENDER IDENTITY HOMELESSNESS HOUSEHOLD BUDGETS HOUSEHOLD INCOME HOUSEHOLDS HOUSING BENEFITS HOUSING TENURE HUNGER ILL HEALTH INFORMAL CARE INTERNET ACCESS LIFE EVENTS MARITAL STATUS MENTAL HEALTH PERSONAL DEBT REPAY... POVERTY RELIGIOUS AFFILIATION RESIDENTIAL CHILD CARE SAVINGS SEXUAL ORIENTATION SHOPPING SOCIAL ATTITUDES SOCIAL PARTICIPATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIAL WELFARE Social welfare policy Society and culture UNEMPLOYMENT United Kingdom WAGES WELL BEING HEALTH inequality and soci... Identifier

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.

This GIS dataset contains point features that represent facilities that recover wasted food to feed people across theUS. Food bank information was collected in 2015 from Feeding America (www.feedingamerica.org), a national organization for food banks, and includes food banks as well as Partner Distribution Organizations (PDO) and Regional Distribution Organizations (RDO). Calculations used to estimate annual wasted food weight are described in EPAâ??s 2017 publication: Technical Methodology for the EPA Wasted Food Opportunities Map. The dataset contains 316 facilities.

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.

Food Prices for Nutrition provides indicators on the cost and affordability of a healthy diet (CoAHD) in each country, showing the population’s physical and economic access to sufficient quantities of locally available items for an active and healthy life. It also provides indicators on the cost and affordability of an energy-sufficient diet and of a nutrient-adequate diet. These indicators are explained in detail in the Food Prices for Nutrition DataHub here: https://www.worldbank.org/foodpricesfornutrition.

The database version Food Prices for Nutrition 1.0 contains indicators that were estimated in July 2022, based on 2017 global food retail price data from the International Comparison Program (ICP), when relevant affordability indicators were calculated based on the available Poverty and Inequality Platform (PIP) data from the World Bank expressed in 2011 purchasing power parity terms (PPP). These include indicators measuring the ratio between diet costs and international food poverty lines and indicators measuring the share and volume of the population unable to afford each diet, based on income distributions observed in each country. Countries' income classifications at the aggregate reporting level follow the calendar year of 2020 (the fiscal year of 2022 of the World Bank). The Cost and Affordability of a Healthy Diet indicators reported in the United Nations' State of Food Security and Nutrition in the World 2022 correspond to those in version 1.0.

The database version Food Prices for Nutrition 1.1 updates these aforementioned affordability indicators using the latest international poverty lines and PIP data expressed in 2017 PPP-based dollars.

The database version Food Prices for Nutrition 2.0, estimated in July 2023, uses the latest PIP data expressed in 2017 PPP-based dollars. Countries' income classifications at the aggregate reporting level follow the calendar year of 2021 (the fiscal year of 2023 of the World Bank). The Cost and Affordability of a Healthy Diet indicators reported in the United Nations' State of Food Security and Nutrition in the World 2023 correspond to those in version 2.0.The database version Food Prices for Nutrition 2.1 updates the affordability indicators using the latest PIP data expressed in 2017 PPP-based dollars and population data from the WDI updated in the fall of 2023.

The database version Food Prices for Nutrition 3.0, estimated in July 2024, uses the 2021 global food retail price data from the ICP and updates the methodology of calculating the affordability indicators, including indicators measuring the ratio between diet costs and international food poverty lines and indicators measuring the share and volume of the population unable to afford each diet, and they are based on the latest PIP data expressed in 2017 PPP-based dollars. For the first time, estimates for the prevalence and number of people unable to afford a healthy diet were imputed for countries with missing information based on their regional and global aggregates. Countries' income classifications at the aggregate reporting level follow the calendar year of 2022 standard (the fiscal year of 2024 of the World Bank). The Cost and Affordability of a Healthy Diet indicators reported in the United Nations' State of Food Security and Nutrition in the World 2024 correspond to those in version 3.0.

The database version Food Prices for Nutrition 3.1 updates the affordability indicators using the latest PIP data expressed in 2017 PPP-based dollars and population data from the World Population Prospect by the United Nations Department of Economic and Social Affairs (UN DESA).

The DC Metropolitan Area Drug Study (DCMADS) was
conducted in 1991, and included special analyses of homeless and
transient populations and of women delivering live births in the DC
hospitals. DCMADS was undertaken to assess the full extent of the
drug problem in one metropolitan area. The study was comprised of 16
separate studies that focused on different sub-groups, many of which
are typically not included or are underrepresented in household
surveys. The Homeless and Transient Population
study examines the prevalence of illicit drug, alcohol, and tobacco
use among members of the homeless and transient population aged 12 and
older in the Washington, DC, Metropolitan Statistical Area (DC
MSA). The sample frame included respondents from shelters, soup
kitchens and food banks, major cluster encampments, and literally
homeless people. Data from the questionnaires include history of
homelessness, living arrangements and population movement, tobacco,
drug, and alcohol use, consequences of use, treatment history, illegal
behavior and arrest, emergency room treatment and hospital stays,
physical and mental health, pregnancy, insurance, employment and
finances, and demographics. Drug specific data include age at first
use, route of administration, needle use, withdrawal symptoms,
polysubstance use, and perceived risk.This study has 1 Data Set.

The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger.This year, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child undernutrition, with two indicators of child undernutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time.The 2015 GHI has been calculated for 117 countries for which data on the four component indicators are available and where measuring hunger is considered most relevant. GHI scores are not calculated for some higher income countries where the prevalence of hunger is very low. The GHI is only as current as the data for its four component indicators.This year's GHI reflects the most recent available country-level data and projections available between 2010 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2015. The 1990, 1995, 2000, 2005, and 2015 GHI scores reflect the latest revised data for the four component indicators of the GHI. Where original source data were not available, the estimates of the GHI component indicators were based on the most recent data available.The four component indicators used to calculate the GHI scores draw upon data from the following sources:1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1990, 1995, 2000, 2005, and 2015 GHI scores. Undernourishment data and projections for the 2015 GHI are for 2014-2016.2. Child wasting and stunting: The child undernutrition indicators of the GHI—child wasting and child stunting—include data from the joint database of United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, and additional data from WHO's continuously updated Global Database on Child Growth and Malnutrition; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) reports; statistical tables from UNICEF; and the latest national survey data for India from UNICEF India. For the 2015 GHI, data on child wasting and child stunting are for the latest year for which data are available in the period 2010-2014.3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1990, 1995, 2000, and 2005, and 2015 GHI scores. For the 2015 GHI, data on child mortality are for 2013.