10 datasets found
  1. International Food Security

    • agdatacommons.nal.usda.gov
    txt
    Updated Feb 8, 2024
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    US Department of Agriculture, Economic Research Service (2024). International Food Security [Dataset]. http://doi.org/10.15482/USDA.ADC/1299294
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    txtAvailable download formats
    Dataset updated
    Feb 8, 2024
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    US Department of Agriculture, Economic Research Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    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

  2. Global Hunger Index 2024 countries most affected by hunger

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). Global Hunger Index 2024 countries most affected by hunger [Dataset]. https://www.statista.com/statistics/269924/countries-most-affected-by-hunger-in-the-world-according-to-world-hunger-index/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    According to the Global Hunger Index 2024, which was adopted by the International Food Policy Research Institute, Somalia was the most affected by hunger and malnutrition, with an index of 44.1. Yemen and Chad followed behind. The World Hunger Index combines three indicators: undernourishment, child underweight, and child mortality. Sub-Saharan Africa most affected The index is dominated by countries in Sub-Saharan Africa. In the region, more than one fifth of the population is undernourished . In terms of individuals, however, South Asia has the highest number of undernourished people. Globally, there are 735 million people that are considered undernourished or starving. A lack of food is increasing in over 20 countries worldwide. Undernourishment worldwide The term malnutrition includes both undernutrition and overnutrition. Undernutrition occurs when an individual cannot maintain normal bodily functions such as growth, recovering from disease, and both learning and physical work. Some conditions such as diarrhea, malaria, and HIV/AIDS can all have a negative impact on undernutrition. Rural and agricultural communities can be especially susceptible to hunger during certain seasons. The annual hunger gap occurs when a family’s food supply may run out before the next season’s harvest is available and can result in malnutrition. Nevertheless, the prevalence of people worldwide that are undernourished has decreased over the last decades, from 18.7 percent in 1990-92 to 9.2 percent in 2022, but it has slightly increased since the outbreak of COVID-19. According to the Global Hunger Index, the reduction of global hunger has stagnated over the past decade.

  3. T

    SDG Indicator 2.1.3 Zero Hunger - Region

    • opendata.sandag.org
    application/rdfxml +5
    Updated Aug 25, 2022
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    U.S. Department of Agriculture (2022). SDG Indicator 2.1.3 Zero Hunger - Region [Dataset]. https://opendata.sandag.org/w/ee9j-djs6/default?cur=EQiNhDIMfnx
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    csv, json, application/rssxml, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Aug 25, 2022
    Dataset authored and provided by
    U.S. Department of Agriculture
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    "Food deserts" are defined as areas where residents do not live near supermarkets or other food retailers that carry affordable and nutritious food.

    This dataset describes the total and percentage of people in relation to their relative distance to a major grocery store and their poverty level in the San Diego County. The dataset is curated from multiple sources, such as the Census ACS and the California Economic Development Department, using methodology from the Economic Research Service (ERS) in the U.S. Department of Agriculture.

  4. US Food Insecurity (2017)

    • gis-fema.hub.arcgis.com
    Updated Apr 29, 2020
    + more versions
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    FEMA AGOL (2020). US Food Insecurity (2017) [Dataset]. https://gis-fema.hub.arcgis.com/datasets/us-food-insecurity-2017
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Authors
    FEMA AGOL
    Area covered
    United States
    Description

    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.

  5. SDG Indicator 2.1.3 Zero Hunger - Block Group

    • opendata.sandag.org
    Updated Aug 25, 2022
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    U.S. Department of Agriculture (2022). SDG Indicator 2.1.3 Zero Hunger - Block Group [Dataset]. https://opendata.sandag.org/Sustainable-Development-Goals/SDG-Indicator-2-1-3-Zero-Hunger-Block-Group/g46x-6ivp
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    csv, xml, application/rdfxml, application/rssxml, tsv, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Aug 25, 2022
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Authors
    U.S. Department of Agriculture
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    "Food deserts" are defined as areas where residents do not live near supermarkets or other food retailers that carry affordable and nutritious food.

    This dataset describes the total and percentage of people in relation to their relative distance to a major grocery store and their poverty level within block groups of the San Diego County. The dataset is curated from multiple sources, such as the Census ACS and the California Economic Development Department, using methodology from the Economic Research Service (ERS) in the U.S. Department of Agriculture.

  6. f

    Countries and regions included in the analysis.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 11, 2023
    + more versions
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    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson (2023). Countries and regions included in the analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0249994.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Countries and regions included in the analysis.

  7. f

    Parity model results: Gross production value from FAOSTAT in 2015, and as...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 10, 2023
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    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson (2023). Parity model results: Gross production value from FAOSTAT in 2015, and as modeled by the IMPACT model for 2015 and 2030. [Dataset]. http://doi.org/10.1371/journal.pone.0249994.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Parity model results: Gross production value from FAOSTAT in 2015, and as modeled by the IMPACT model for 2015 and 2030.

  8. f

    Change in undernourished children and population at risk of hunger in 2030...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson (2023). Change in undernourished children and population at risk of hunger in 2030 from faster productivity growth. [Dataset]. http://doi.org/10.1371/journal.pone.0249994.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Change in undernourished children and population at risk of hunger in 2030 from faster productivity growth.

  9. f

    Parity model results: Gross production value from FAOSTAT in 2015, by...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 11, 2023
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    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson (2023). Parity model results: Gross production value from FAOSTAT in 2015, by region. [Dataset]. http://doi.org/10.1371/journal.pone.0249994.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Keith Wiebe; Timothy B. Sulser; Shahnila Dunston; Mark W. Rosegrant; Keith Fuglie; Dirk Willenbockel; Gerald C. Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Parity model results: Gross production value from FAOSTAT in 2015, by region.

  10. t

    Presbyterian Panel Survey, February 2010 - Hunger, Peacemaking, and...

    • thearda.com
    Updated Aug 15, 2011
    + more versions
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    The Association of Religion Data Archives (2011). Presbyterian Panel Survey, February 2010 - Hunger, Peacemaking, and Sabbath-keeping, Clergy [Dataset]. http://doi.org/10.17605/OSF.IO/3MZHS
    Explore at:
    Dataset updated
    Aug 15, 2011
    Dataset provided by
    The Association of Religion Data Archives
    Dataset funded by
    Congregational Ministries Division, Presbyterian Church (U.S.A.)
    Description

    The Presbyterian Panel began in 1973 and is an ongoing panel study in which mailed and web-based questionnaires are used to survey representative samples of constituency groups of the "https://www.pcusa.org/" Target="_blank">Presbyterian Church (U.S.A.). These constituency groups include members, elders, pastors serving in a congregation and specialized clergy serving elsewhere. New samples are drawn every three years. The main goal of this study is to gather broad information about Presbyterians in terms of their faith (belief, church background and levels of church involvement) and their social, economic and demographic characteristics (age, sex, marital status, living arrangements, etc.). The February 2010 survey focuses on the problem of widespread hunger in the United States, peace, justice, and Sabbath practices. This dataset contains data from clergy in the Presbyterian Church (U.S.A.). Pastors and specialized clergy constitute this sample.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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US Department of Agriculture, Economic Research Service (2024). International Food Security [Dataset]. http://doi.org/10.15482/USDA.ADC/1299294
Organization logoOrganization logo

International Food Security

Explore at:
txtAvailable download formats
Dataset updated
Feb 8, 2024
Dataset provided by
United States Department of Agriculturehttp://usda.gov/
Economic Research Servicehttp://www.ers.usda.gov/
Authors
US Department of Agriculture, Economic Research Service
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

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

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