12 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
    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
    • ai-chatbox.pro
    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. a

    Feeding America: Food Insecurity (2017)

    • hub.arcgis.com
    • gis-fema.hub.arcgis.com
    Updated Apr 27, 2020
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    FEMA AGOL (2020). Feeding America: Food Insecurity (2017) [Dataset]. https://hub.arcgis.com/maps/95bd769cd23545198aeca34ad09674b4
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    FEMA AGOL
    Area covered
    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.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.

  4. a

    Feeding America Food Insecurity 2018

    • hub.arcgis.com
    Updated Jun 22, 2020
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    ed.amrhein-tr (2020). Feeding America Food Insecurity 2018 [Dataset]. https://hub.arcgis.com/datasets/c260c6787e09449ab7038d7006488a85
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    Dataset updated
    Jun 22, 2020
    Dataset authored and provided by
    ed.amrhein-tr
    Area covered
    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.Notes from Feeding America regarding dIfferences from previous studies:1. Beginning in 2020, we enhanced our food insecurity model through the inclusion of a disability rate variable and refining our poverty measure to reflect non-undergraduate student poverty. The details surrounding this changed are discussed in our technical brief. Because of this methodology changes, the estimates from Map the Meal Gap 2020 are not comparable to estimates from previous years.2. In response to COVID-19, we expanded on Map the Meal Gap to include a companion study and interactive map that discuss our projections in food insecurity as a result of the pandemic. They may also be of interest to check out.

    Gundersen, C., A. Dewey, E. Engelhard, M. Strayer & L. Lapinski. Map the Meal Gap 2020: A Report on County and Congressional District Food Insecurity and County Food Cost in the United States in 2018. Feeding America, 2020.

  5. Global Hunger Index 2022 Trends

    • kaggle.com
    Updated Dec 28, 2022
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    MANAS PARASHAR (2022). Global Hunger Index 2022 Trends [Dataset]. https://www.kaggle.com/datasets/parasharmanas/global-hunger-index-2022-trends/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 28, 2022
    Dataset provided by
    Kaggle
    Authors
    MANAS PARASHAR
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    This year’s Global Hunger Index (GHI) brings us face to face with a grim reality. The toxic cocktail of conflict, climate change, and the COVID-19 pandemic had already left millions exposed to food price shocks and vulnerable to further crises. Now the war in Ukraine, with its knock-on effects on global supplies of and prices for food, fertilizer, and fuel is turning a crisis into a catastrophe. The 2022 global GHI score shows that progress in tackling hunger has largely halted. Other indicators reveal the tragic scale of the unfolding crisis. The State of Food Security and Nutrition in the World 2022 reported that in 2021 the number of undernourished people, an indicator of chronic hunger, rose to as many as 828 million. Further, according to the Global Report on Food Crises 2022, the number of people facing acute hunger also rose from 2020, reaching nearly 193 million in 2021. These impacts are now playing out across Africa South of the Sahara, South Asia, Central and South America, and beyond. As we face the third global food price crisis in 15 years, it is clearer than ever that our food systems in their current form are inadequate to the task of sustainably ending poverty and hunger. The global food crisis underway now is widely presented as an aftershock caused by the war in Ukraine. The severity and speed of the impacts on hunger have occurred largely, however, because millions of people were already living on the precarious edge of hunger, a legacy of past failures to build more just, sustainable, and resilient food systems. While it is urgent that the international community respond to these escalating humanitarian crises, it must not lose sight of the need for a long-term transformation of food systems. The shocks we have experienced reveal chronic vulnerabilities that will continue to put millions at risk of hunger. Past and current GHI reports highlight these persistent vulnerabilities and shows what actions can address immediate humanitarian needs and kick-start food system transformation. Rather than operating reactively, the international community must take proactive steps to actually make good on its international commitments and pledges, scaling them up and directing them toward emergency measures. Political attention and funding must be targeted toward evidence-based policies and investments that address structural obstacles to food and nutrition security. More high-quality and timely data are also needed so that we can monitor progress in these areas. This year’s GHI report considers one important avenue for food systems transformation: community action that engages local leaders and citizens in improving governance and accountability. The essay by Danielle Resnick provides promising examples from a variety of settings where citizens are finding innovative ways to amplify their voices in food system debates, including by tracking government performance and by engaging in multistakeholder platforms, and keeping decision-makers accountable for addressing food and nutrition insecurity and hunger. Encouragingly, examples of empowerment are just as visible in fragile contexts with high levels of societal fractionalization as they are in more stable settings with longer traditions of local democracy. It is critical to act now to rebuild food security on a new and lasting basis. Failure to do so means sleepwalking into the catastrophic and systematic food crises of the future. Much more can be done to ward off the worst impacts of the current crisis and set deep changes in motion rather than reinforcing the dangerous and unsustainable arrangements we now live with. We must ensure rights-based food systems governance at all levels, building on the initial steps taken at the 2021 United Nations Food Systems Summit. Governments and development partners must harness local voices, match local governance efforts to conditions and capacities on the ground, and support local leadership through capacity building and funding. Governments must enable citizens to participate fully in developing and monitoring public policies affecting food security while upholding a legal right to food. Prevention pays off. Investments made today can avert future crises that may be even more costly and tragic than what we now face. It has been said that the saddest words are “If only.” We may find ourselves saying, “If only past generations had used their time and resources to do what was needed to end hunger and ensure the right to food for all.” May the next generation not say the same of us.

  6. 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/Sustainable-Development-Goals/SDG-Indicator-2-1-3-Zero-Hunger-Region/ee9j-djs6
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    csv, application/rdfxml, json, application/rssxml, xml, tsvAvailable 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 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.

  7. a

    Data from: Goal 2: End hunger, achieve food security and improved nutrition...

    • fijitest-sdg.hub.arcgis.com
    • senegal2-sdg.hub.arcgis.com
    • +10more
    Updated Jul 3, 2022
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    arobby1971 (2022). Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture [Dataset]. https://fijitest-sdg.hub.arcgis.com/items/20a0437a8678449ca333c87f0e9d1f70
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    Dataset updated
    Jul 3, 2022
    Dataset authored and provided by
    arobby1971
    Description

    Goal 2End hunger, achieve food security and improved nutrition and promote sustainable agricultureTarget 2.1: By 2030, end hunger and ensure access by all people, in particular the poor and people in vulnerable situations, including infants, to safe, nutritious and sufficient food all year roundIndicator 2.1.1: Prevalence of undernourishmentSN_ITK_DEFC: Prevalence of undernourishment (%)SN_ITK_DEFCN: Number of undernourish people (millions)Indicator 2.1.2: Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)AG_PRD_FIESMS: Prevalence of moderate or severe food insecurity in the adult population (%)AG_PRD_FIESMSN: Total population in moderate or severe food insecurity (thousands of people)AG_PRD_FIESS: Prevalence of severe food insecurity in the adult population (%)AG_PRD_FIESSN: Total population in severe food insecurity (thousands of people)Target 2.2: By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and lactating women and older personsIndicator 2.2.1: Prevalence of stunting (height for age SH_STA_STNT: Proportion of children moderately or severely stunted (%)SH_STA_STNTN: Children moderately or severely stunted (thousands)+2 or SH_STA_WAST: Proportion of children moderately or severely wasted (%)SH_STA_WASTN: Children moderately or severely wasted (thousands)SN_STA_OVWGT: Proportion of children moderately or severely overweight (%)SN_STA_OVWGTN: Children moderately or severely overweight (thousands)Indicator 2.2.3: Prevalence of anaemia in women aged 15 to 49 years, by pregnancy status (percentage)SH_STA_ANEM: Proportion of women aged 15-49 years with anaemia (%)SH_STA_ANEM_PREG: Proportion of women aged 15-49 years with anaemia, pregnant (%)SH_STA_ANEM_NPRG: Proportion of women aged 15-49 years with anaemia, non-pregnant (%)Target 2.3: By 2030, double the agricultural productivity and incomes of small-scale food producers, in particular women, indigenous peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and non-farm employmentIndicator 2.3.1: Volume of production per labour unit by classes of farming/pastoral/forestry enterprise sizePD_AGR_SSFP: Productivity of small-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)PD_AGR_LSFP: Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)Indicator 2.3.2: Average income of small-scale food producers, by sex and indigenous statusSI_AGR_SSFP: Average income of small-scale food producers, PPP (constant 2011 international $)SI_AGR_LSFP: Average income of large-scale food producers, PPP (constant 2011 international $)Target 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding and other disasters and that progressively improve land and soil qualityIndicator 2.4.1: Proportion of agricultural area under productive and sustainable agricultureTarget 2.5: By 2020, maintain the genetic diversity of seeds, cultivated plants and farmed and domesticated animals and their related wild species, including through soundly managed and diversified seed and plant banks at the national, regional and international levels, and promote access to and fair and equitable sharing of benefits arising from the utilization of genetic resources and associated traditional knowledge, as internationally agreedIndicator 2.5.1: Number of plant and animal genetic resources for food and agriculture secured in either medium- or long-term conservation facilitiesER_GRF_ANIMRCNTN: Number of local breeds for which sufficient genetic resources are stored for reconstitutionER_GRF_PLNTSTOR: Plant breeds for which sufficient genetic resources are stored (number)Indicator 2.5.2: Proportion of local breeds classified as being at risk of extinctionER_RSK_LBREDS: Proportion of local breeds classified as being at risk as a share of local breeds with known level of extinction risk (%)Target 2.a: Increase investment, including through enhanced international cooperation, in rural infrastructure, agricultural research and extension services, technology development and plant and livestock gene banks in order to enhance agricultural productive capacity in developing countries, in particular least developed countriesIndicator 2.a.1: The agriculture orientation index for government expendituresAG_PRD_ORTIND: Agriculture orientation index for government expendituresAG_PRD_AGVAS: Agriculture value added share of GDP (%)AG_XPD_AGSGB: Agriculture share of Government Expenditure (%)Indicator 2.a.2: Total official flows (official development assistance plus other official flows) to the agriculture sectorDC_TOF_AGRL: Total official flows (disbursements) for agriculture, by recipient countries (millions of constant 2018 United States dollars)Target 2.b: Correct and prevent trade restrictions and distortions in world agricultural markets, including through the parallel elimination of all forms of agricultural export subsidies and all export measures with equivalent effect, in accordance with the mandate of the Doha Development RoundIndicator 2.b.1: Agricultural export subsidiesAG_PRD_XSUBDY: Agricultural export subsidies (millions of current United States dollars)Target 2.c: Adopt measures to ensure the proper functioning of food commodity markets and their derivatives and facilitate timely access to market information, including on food reserves, in order to help limit extreme food price volatilityIndicator 2.c.1: Indicator of food price anomaliesAG_FPA_COMM: Indicator of Food Price Anomalies (IFPA), by type of productAG_FPA_CFPI: Consumer Food Price IndexAG_FPA_HMFP: Proportion of countries recording abnormally high or moderately high food prices, according to the Indicator of Food Price Anomalies (%)

  8. r

    State of the Tropics - Poverty - Undernourishment

    • researchdata.edu.au
    Updated Sep 8, 2014
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    McComiskie Rodney; Rodney Gordon McComiskie (2014). State of the Tropics - Poverty - Undernourishment [Dataset]. https://researchdata.edu.au/state-tropics-poverty-undernourishment
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    Dataset updated
    Sep 8, 2014
    Dataset provided by
    James Cook University
    Authors
    McComiskie Rodney; Rodney Gordon McComiskie
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Data calculated for State of the Tropics 2014 from existing data source: FAO - VAO1 Number of people undernourished. http://www.fao.org/hunger/en/ Prevalence calculated using State of the Tropics population data

  9. d

    2012 Global Hunger Index Data

    • search.dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Nov 21, 2023
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    von Grebmer, Klaus; Ringler, Claudia; Rosegrant, Mark W.; Olofinbiyi, Tolulope; Wiesmann, Doris; Fritschel, Heidi; Badiane, Ousmane; Torero, Maximo; Yohannes, Yisehac; Thompson, Jennifer; von Oppeln, Constanze; Rahall, Joseph (2023). 2012 Global Hunger Index Data [Dataset]. http://doi.org/10.7910/DVN/B3KHKG
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    von Grebmer, Klaus; Ringler, Claudia; Rosegrant, Mark W.; Olofinbiyi, Tolulope; Wiesmann, Doris; Fritschel, Heidi; Badiane, Ousmane; Torero, Maximo; Yohannes, Yisehac; Thompson, Jennifer; von Oppeln, Constanze; Rahall, Joseph
    Description

    The 2012 GHI report focuses particularly on the issue of how to ensure sustainable food security under conditions of water, land, and energy stress. Demographic changes, rising incomes and associated consumption patterns, and climate change, alongside persistent poverty and inadequate policies and institutions, are all placing serious pressure on natural resources. In this report, IFPRI describes the evidence on land, water, and energy scarcity in developing countries and offers two visions of a future global food system—an unsustainable scenario in which current trends in resource use continue, and a sustainable scenario in which access to food, modern energy, and clean water improves significantly and ecosystem degradation is halted or reversed. Concern Worldwide and Welthungerhilfe provide on-the-ground perspectives on the issues of land tenure and title as well as the impacts of scarce land, water, and energy on poor people in Sierra Leone and Tanzania and describe the work of their organizations in helping to alleviate these impacts. See other formats of data here: Linked Open Data (LOD) -- [OWL Version] and [RDF Version] See visual data at: Data Visualization

  10. a

    Data from: Goal 2: End hunger, achieve food security and improved nutrition...

    • south-africa-sdg.hub.arcgis.com
    Updated Jun 21, 2022
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    arobby1971 (2022). Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture [Dataset]. https://south-africa-sdg.hub.arcgis.com/datasets/9e397dc242074d3a9b0b197e0e9da660
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    Dataset updated
    Jun 21, 2022
    Dataset authored and provided by
    arobby1971
    Description

    Goal 2End hunger, achieve food security and improved nutrition and promote sustainable agricultureTarget 2.1: By 2030, end hunger and ensure access by all people, in particular the poor and people in vulnerable situations, including infants, to safe, nutritious and sufficient food all year roundIndicator 2.1.1: Prevalence of undernourishmentSN_ITK_DEFC: Prevalence of undernourishment (%)SN_ITK_DEFCN: Number of undernourish people (millions)Indicator 2.1.2: Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)AG_PRD_FIESMS: Prevalence of moderate or severe food insecurity in the adult population (%)AG_PRD_FIESMSN: Total population in moderate or severe food insecurity (thousands of people)AG_PRD_FIESS: Prevalence of severe food insecurity in the adult population (%)AG_PRD_FIESSN: Total population in severe food insecurity (thousands of people)Target 2.2: By 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and lactating women and older personsIndicator 2.2.1: Prevalence of stunting (height for age SH_STA_STNT: Proportion of children moderately or severely stunted (%)SH_STA_STNTN: Children moderately or severely stunted (thousands)+2 or SH_STA_WAST: Proportion of children moderately or severely wasted (%)SH_STA_WASTN: Children moderately or severely wasted (thousands)SN_STA_OVWGT: Proportion of children moderately or severely overweight (%)SN_STA_OVWGTN: Children moderately or severely overweight (thousands)Indicator 2.2.3: Prevalence of anaemia in women aged 15 to 49 years, by pregnancy status (percentage)SH_STA_ANEM: Proportion of women aged 15-49 years with anaemia (%)SH_STA_ANEM_PREG: Proportion of women aged 15-49 years with anaemia, pregnant (%)SH_STA_ANEM_NPRG: Proportion of women aged 15-49 years with anaemia, non-pregnant (%)Target 2.3: By 2030, double the agricultural productivity and incomes of small-scale food producers, in particular women, indigenous peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and non-farm employmentIndicator 2.3.1: Volume of production per labour unit by classes of farming/pastoral/forestry enterprise sizePD_AGR_SSFP: Productivity of small-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)PD_AGR_LSFP: Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)Indicator 2.3.2: Average income of small-scale food producers, by sex and indigenous statusSI_AGR_SSFP: Average income of small-scale food producers, PPP (constant 2011 international $)SI_AGR_LSFP: Average income of large-scale food producers, PPP (constant 2011 international $)Target 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding and other disasters and that progressively improve land and soil qualityIndicator 2.4.1: Proportion of agricultural area under productive and sustainable agricultureTarget 2.5: By 2020, maintain the genetic diversity of seeds, cultivated plants and farmed and domesticated animals and their related wild species, including through soundly managed and diversified seed and plant banks at the national, regional and international levels, and promote access to and fair and equitable sharing of benefits arising from the utilization of genetic resources and associated traditional knowledge, as internationally agreedIndicator 2.5.1: Number of plant and animal genetic resources for food and agriculture secured in either medium- or long-term conservation facilitiesER_GRF_ANIMRCNTN: Number of local breeds for which sufficient genetic resources are stored for reconstitutionER_GRF_PLNTSTOR: Plant breeds for which sufficient genetic resources are stored (number)Indicator 2.5.2: Proportion of local breeds classified as being at risk of extinctionER_RSK_LBREDS: Proportion of local breeds classified as being at risk as a share of local breeds with known level of extinction risk (%)Target 2.a: Increase investment, including through enhanced international cooperation, in rural infrastructure, agricultural research and extension services, technology development and plant and livestock gene banks in order to enhance agricultural productive capacity in developing countries, in particular least developed countriesIndicator 2.a.1: The agriculture orientation index for government expendituresAG_PRD_ORTIND: Agriculture orientation index for government expendituresAG_PRD_AGVAS: Agriculture value added share of GDP (%)AG_XPD_AGSGB: Agriculture share of Government Expenditure (%)Indicator 2.a.2: Total official flows (official development assistance plus other official flows) to the agriculture sectorDC_TOF_AGRL: Total official flows (disbursements) for agriculture, by recipient countries (millions of constant 2018 United States dollars)Target 2.b: Correct and prevent trade restrictions and distortions in world agricultural markets, including through the parallel elimination of all forms of agricultural export subsidies and all export measures with equivalent effect, in accordance with the mandate of the Doha Development RoundIndicator 2.b.1: Agricultural export subsidiesAG_PRD_XSUBDY: Agricultural export subsidies (millions of current United States dollars)Target 2.c: Adopt measures to ensure the proper functioning of food commodity markets and their derivatives and facilitate timely access to market information, including on food reserves, in order to help limit extreme food price volatilityIndicator 2.c.1: Indicator of food price anomaliesAG_FPA_COMM: Indicator of Food Price Anomalies (IFPA), by type of productAG_FPA_CFPI: Consumer Food Price IndexAG_FPA_HMFP: Proportion of countries recording abnormally high or moderately high food prices, according to the Indicator of Food Price Anomalies (%)

  11. t

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

    • thearda.com
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    The Association of Religion Data Archives, Presbyterian Panel Survey, February 2010 - Hunger, Peacemaking, and Sabbath-keeping, Members and Elders [Dataset]. http://doi.org/10.17605/OSF.IO/ZTSV9
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    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 members and elders of the Presbyterian Church (U.S.A.).

  12. Extreme poverty as share of global population in Africa 2025, by country

    • statista.com
    Updated Feb 3, 2025
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    Statista (2025). Extreme poverty as share of global population in Africa 2025, by country [Dataset]. https://www.statista.com/statistics/1228553/extreme-poverty-as-share-of-global-population-in-africa-by-country/
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    Dataset updated
    Feb 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Africa
    Description

    In 2025, nearly 11.7 percent of the world population in extreme poverty, with the poverty threshold at 2.15 U.S. dollars a day, lived in Nigeria. Moreover, the Democratic Republic of the Congo accounted for around 11.7 percent of the global population in extreme poverty. Other African nations with a large poor population were Tanzania, Mozambique, and Madagascar. Poverty levels remain high despite the forecast decline Poverty is a widespread issue across Africa. Around 429 million people on the continent were living below the extreme poverty line of 2.15 U.S. dollars a day in 2024. Since the continent had approximately 1.4 billion inhabitants, roughly a third of Africa’s population was in extreme poverty that year. Mozambique, Malawi, Central African Republic, and Niger had Africa’s highest extreme poverty rates based on the 2.15 U.S. dollars per day extreme poverty indicator (updated from 1.90 U.S. dollars in September 2022). Although the levels of poverty on the continent are forecast to decrease in the coming years, Africa will remain the poorest region compared to the rest of the world. Prevalence of poverty and malnutrition across Africa Multiple factors are linked to increased poverty. Regions with critical situations of employment, education, health, nutrition, war, and conflict usually have larger poor populations. Consequently, poverty tends to be more prevalent in least-developed and developing countries worldwide. For similar reasons, rural households also face higher poverty levels. In 2024, the extreme poverty rate in Africa stood at around 45 percent among the rural population, compared to seven percent in urban areas. Together with poverty, malnutrition is also widespread in Africa. Limited access to food leads to low health conditions, increasing the poverty risk. At the same time, poverty can determine inadequate nutrition. Almost 38.3 percent of the global undernourished population lived in Africa in 2022.

  13. 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
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International Food Security

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txtAvailable download formats
Dataset updated
Feb 8, 2024
Dataset provided by
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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