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  • El Salvador - HungerMap data
    WFP - World Food Programme
    90+ Downloads
    Time Period of the Dataset [?]: May 13, 2024-May 13, 2025 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 25 November 2024
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    This dataset updates: As needed
    This dataset is part of the data series [?]: WFP - Food Security Indicators
    HungerMapLIVE is the World Food Programme (WFP)’s global hunger monitoring system. It combines key metrics from various data sources – such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data – to help assess, monitor and predict the magnitude and severity of hunger in near real-time. The resulting analysis is displayed on an interactive map that helps WFP staff, key decision makers and the broader humanitarian community to make more informed and timely decisions relating to food security. The platform covers 94 countries, including countries where WFP has operations as well as most lower and lower-middle income countries (as classified by the World Bank).
  • HDX HAPI Data for El Salvador
    HDX Humanitarian API Data
    400+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-December 31, 2026 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • Anomaly Hotspots of Agricultural Production
    Joint Research Centre of the European Commission
    500+ Downloads
    Time Period of the Dataset [?]: October 01, 2016-March 11, 2025 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 3 April 2024
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    This dataset updates: Every month
    ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning. The monthly hotspots data set is available below, but you can explore the hotspots on the ASAP Warning Explorer and access more contextual data on the downloads page. To learn more about the hotspots, refer to the warning classification methodology document.
  • FAO Data in Emergencies Monitoring System (DIEM)
    Food and Agriculture Organization (FAO) of the United Nations
    1900+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-March 06, 2025 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 19 April 2022
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    This dataset updates: As needed
    The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample. The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset. For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/ View the column descriptions here. Metadata available here. Questionnaires used for data collection available here. Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
  • Central America - Threats to Food Prices
    Acción contra el hambre - GIS4tech
    10+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-May 12, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 11 April 2025
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    This dataset updates: As needed
    The dataset displays alerts based on the data of basic food prices in Honduras, Nicaragua, Guatemala, and El Salvador. The data are sourced from the Famine Early Warning Systems Network (FEWS NET) and the WFP's Vulnerability Analysis and Mapping (WFP-VAM). Data are categorized according to the 'Alert for Price Spikes' (ALPS) methodology from the WFP, which assigns categories such as crisis, alert, stress, and normal based on the standard deviation between the actual and estimated prices.
  • Central America - Prevalence of Moderate or Severe Food Insecurity
    Acción contra el hambre - GIS4tech
    10+ Downloads
    Time Period of the Dataset [?]: January 01, 2014-May 12, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 7 April 2025
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    This dataset updates: As needed
    Prevalence of moderate or severe food insecurity has been assessed based on the information obtained from the FAO (Food Agriculture Organization of the United Nations). The hazard classification is determined by the frequency of the events. The INSAN is an indicator that measures the percentage of people who have experienced moderate or severe food insecurity. Comparisons are made by region: the world, Central America, and the countries of El Salvador, Guatemala, and Honduras. Categories such as urbanization (rural, urban, and peri-urban), sex (female, male), and total are included. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
  • Central America - Food Consumption Score and Reduced Coping Strategy Index Forecast
    Acción contra el hambre - GIS4tech
    100+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-May 12, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 11 December 2023
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    This dataset updates: As needed
    The dataset contains information on the Food Consumption Score (FCS) and the Reduced Coping Strategy Index (rCSI) for various countries in Central America. The data include different columns according to the category, with three possibilities for FCS: Poor, Acceptable, Borderline. The categories for rCSI are Acceptable, Moderate, and Severe. Each value shows the percentage of the sample that falls under a certain category. The data have been collected since January 2023 and are categorized by country, department, and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
  • El Salvador - Food Security and Nutrition Indicators
    Food and Agriculture Organization (FAO) of the United Nations
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 10 March 2019
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    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Security Indicators
    Food Security and Nutrition Indicators for El Salvador. Contains data from the FAOSTAT bulk data service.
  • El Salvador - Food Prices
    Food and Agriculture Organization (FAO) of the United Nations
    700+ Downloads
    Time Period of the Dataset [?]: January 01, 1991-December 31, 2024 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 4 May 2020
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    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for El Salvador. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
  • El Salvador - Food Prices
    WFP - World Food Programme
    1800+ Downloads
    Time Period of the Dataset [?]: January 15, 2005-June 15, 2022 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 26 September 2018
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    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    This dataset contains Food Prices data for El Salvador, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • El Salvador: Acute Food Insecurity Country Data
    Integrated Food Security Phase Classification (IPC)
    200+ Downloads
    Time Period of the Dataset [?]: November 01, 2017-May 31, 2022 ... More
    Modified [?]: 10 January 2025
    Dataset Added on HDX [?]: 8 July 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports. There is also a global dataset.
  • IPC Acute Food Insecurity Country Data
    Integrated Food Security Phase Classification (IPC)
    1700+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-October 31, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 13 May 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • El Salvador - Internal displacement profiling, 2016
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: November 11, 2016-December 31, 2016 ... More
    Modified [?]: 14 March 2022
    Dataset Added on HDX [?]: 10 April 2022
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    This dataset updates: Never
    In September 2014, the Government of El Salvador created the Consejo Nacional de Seguridad Ciudadana y Convivencia (CNSCC), whose main objective is to promote and facilitate dialogue and agreement around public policies on justice, citizen security and coexistence. Through this space, the Plan El Salvador Seguro (PESS) was discussed and approved in 2015, which consists of five axes and hundreds of actions to confront violence and crime, guarantee access to justice and protection for victims of all types of crime. In the framework of the implementation of Axis 4 of the PESS (attention and protection of victims), and given the State's concern to determine the characteristics and impact of internal mobility due to violence in El Salvador, the Ministry of Justice and Public Security (MJSP), in coordination with the Secretariat of Governance and Communications (SEGOB), promoted the realization of a profiling study on the dimension, tendencies and profiles of the people and families forced to diplace internally due to violence in recent years. For this effort, the support of the United Nations High Commissioner for Refugees (UNHCR) was requested. The study shows that in El Salvador internal mobility is a multi-causal phenomenon, with the economic and family reasons being predominant. With a significantly lower incidence, it is confirmed that acts of violence or crimes committed against the population are located as the third cause of internal mobility of the population in recent years. According to the information collected, in 1.1% of resident families at least one of its members was forced to change their usual place of residence within El Salvador as to avoid the effects of facts of violence.
  • Families on the Run - 2020
    UNHCR - The UN Refugee Agency
    70+ Downloads
    Time Period of the Dataset [?]: December 01, 2019-March 30, 2020 ... More
    Modified [?]: 27 May 2021
    Dataset Added on HDX [?]: 27 May 2021
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    This dataset updates: Never
    Multiple causes for displacement, all too often underpinned by violence and persecution, has led to over 800,000 Central Americans fleeing their homes, beginning in 2013. Year after year, there has been an increase in individuals fleeing. This was marked initially by especially large numbers of unaccompanied children, then joined in around 2018 with dramatic increases in families units fleeing Central America. Families are forced to flee together as violent threats and persecution by criminal groups in communities extend beyond individuals to entire family units. Given these shifting dynamics in human mobility in these countries, UNHCR and UNICEF, through the Interdisciplinary Development Consultants, CID Gallup, decided to undertake this study with the aim of understanding and giving visibility to the forced displacement of families that flee northern Central America. In addition, the study also seeks to shed light on the current trends, protection risks and factors associated to the forced displacement and migration of unaccompanied and separated children. For this purpose, Gallup conducted 3,104 surveys, complemented by focus group sessions segmented according to the geography of displacement in the region: country of origin, of transit and of asylum. Additionally, interviews were undertaken with families who were part of large mixed movement "caravans" that left Honduras at the beginning of 2020.