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  • Time Period of the Dataset [?]: January 01, 2010-May 15, 2025 ... More
    Modified [?]: 15 May 2025
    Dataset Added on HDX [?]: 14 April 2025
    This dataset updates: As needed
    This visualization presents the livelihoods of the countries of El Salvador, Guatemala, Honduras, and Nicaragua at the municipal level. The information has been obtained from the livelihood reports published by FEWS NET. The country-specific data correspond to the following years: El Salvador (2018), Guatemala (2016), Honduras (2014), and Nicaragua (2010). For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
  • 2800+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2025 ... More
    Modified [?]: 15 May 2025
    Dataset Added on HDX [?]: 9 March 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 1900+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-March 06, 2025 ... More
    Modified [?]: 14 May 2025
    Dataset Added on HDX [?]: 19 April 2022
    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.
  • 200+ Downloads
    Time Period of the Dataset [?]: April 30, 2023-December 12, 2024 ... More
    Modified [?]: 9 May 2025
    Dataset Added on HDX [?]: 9 June 2023
    This dataset updates: Every year
    Humanitarian access constraints data compiled at national level based on workshops in the 10 Departements (admin 1). The dataset provides an estimation on the severity level for different type of actors and different types of access constraints.
  • 13000+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-April 30, 2025 ... More
    Modified [?]: 8 May 2025
    Dataset Added on HDX [?]: 10 July 2019
    This dataset updates: Every month
    The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index Users can specify time period and download from: https://www.acaps.org/en/data#dataset-3
  • Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 29 April 2025
    Dataset Added on HDX [?]: 29 April 2025
    This dataset updates: As needed
    El archivo tiene los resultados del cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA) para el año 2025 en Colombia.
  • 40+ Downloads
    Time Period of the Dataset [?]: April 24, 2025-December 31, 2025 ... More
    Modified [?]: 24 April 2025
    Dataset Added on HDX [?]: 24 April 2025
    This dataset updates: Every year
    This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).
  • Time Period of the Dataset [?]: February 16, 2025-March 16, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 14 April 2025
    This data is by request only
    The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. HSM aims to collect and triangulate information regularly regarding service provision, sectoral needs, and vulnerabilities in Afghan communities to support geographical and sectoral prioritizations, particularly in light of Afghanistan's rapidly evolving context. HSM assesses the sectoral and multi-sectoral needs of populations in all districts by filling in information gaps and enhancing response capacity for district-level prioritisation.
  • Time Period of the Dataset [?]: February 16, 2025-March 16, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 14 April 2025
    This dataset updates: Every three months
    The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. HSM aims to collect and triangulate information regularly regarding service provision, sectoral needs, and vulnerabilities in Afghan communities to support geographical and sectoral prioritizations, particularly in light of Afghanistan's rapidly evolving context. HSM assesses the sectoral and multi-sectoral needs of populations in all districts by filling in information gaps and enhancing response capacity for district-level prioritisation.
  • 50+ Downloads
    Time Period of the Dataset [?]: November 01, 2020-December 31, 2020 ... More
    Modified [?]: 4 April 2025
    Dataset Added on HDX [?]: 24 July 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Kenya hosts over half a million refugees, who, along with their hosts in urban and camp areas, face difficult living conditions and limited socioeconomic opportunities. Most refugees in Kenya live in camps located in the impoverished counties of Turkana (40 percent) and Garissa (44 percent), while 16 percent inhabit urban areas—mainly in Nairobi but also in Mombasa and Nakuru. Refugees in Kenya are not systematically included in national surveys, creating a lack of comparable socioeconomic data on camp-based and urban refugees, and their hosts. As the third of a series of surveys focusing on closing this gap, this Socioeconomic Survey of Urban Refugees's aim is to understand the socioeconomic needs of urban refugees in Kenya, especially in the face of ongoing conflicts, environmental hazards, and others shocks, as well as the recent government announcement to close Kenya’s refugee camps, which highlights the potential move of refugees from camps into urban settings. The SESs are representative of urban refugees and camp-based refugees in Turkana County. For the Kalobeyei 2018 and Urban 2020–21 SESs, households were randomly selected from the UNHCR registration database (proGres), while a complete list of dwellings, obtained from UNHCR’s dwelling mapping exercise, was used to draw the sample for the Kakuma 2019 SES. The Kalobeyei SES and Kakuma SES were done via Computer-Assisted Personal Interviews (CAPI). Due to COVID-19 social distancing measures, the Urban SES was collected via Computer Assisted Telephone Interviewing (CATI). The Kalobeyei SES covers 6,004 households; the Kakuma SES covers 2,127 households; and the Urban SES covers 2,438 households in Nairobi, Nakuru, and Mombasa. Questionnaires are aligned with national household survey instruments, while additional modules are added to explore refugee-specific dynamics. The SES includes modules on demographics, household characteristics, assets, employment, education, consumption, and expenditure, which are aligned with the Kenya Integrated Household Budget Survey (KIHBS) 2015–16 and the recent Kenya Continuous Household Survey (KCHS) 2019. Additional modules on access to services, vulnerabilities, social cohesion, mechanisms for coping with lack of food, displacement trajectories, and durable solutions are administered to capture refugee-specific challenges.
  • 8200+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2025 ... More
    Modified [?]: 31 March 2025
    Dataset Added on HDX [?]: 12 December 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 2900+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-December 31, 2025 ... More
    Modified [?]: 31 March 2025
    Dataset Added on HDX [?]: 20 April 2021
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 2200+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2025 ... More
    Modified [?]: 31 March 2025
    Dataset Added on HDX [?]: 25 March 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • Time Period of the Dataset [?]: January 01, 2024-February 18, 2024 ... More
    Modified [?]: 27 March 2025
    Dataset Added on HDX [?]: 6 April 2025
    This dataset updates: Never
    This dataset is the fifth round of UNHCR’s Intention Surveys with refugees from Ukraine, implemented in partnership with Ipsos SA. Data collection was conducted between January and February 2024 and includes close to 4,000 refugee households hosted across countries in Europe. The survey includes a longitudinal component, with part of the sample having participated in previous rounds. A mixed methodological approach was used, combining two data collection modes and mixed sampling designs. The anonymized dataset includes household- and individual-level data and supports inter-agency planning and evidence-based response related to refugee intentions, returns, and durable solutions.
  • Time Period of the Dataset [?]: July 01, 2024-August 16, 2024 ... More
    Modified [?]: 27 March 2025
    Dataset Added on HDX [?]: 6 April 2025
    This dataset updates: Never
    This dataset is the sixth round of UNHCR’s Intention Surveys with refugees from Ukraine, implemented in partnership with Ipsos SA. Data collection was conducted between July and August 2024 and includes close to 5,000 refugee households hosted across countries in Europe. The survey includes a longitudinal component, with part of the sample having participated in previous rounds. A mixed methodological approach was used, combining two data collection modes and mixed sampling designs. The anonymized dataset includes household- and individual-level data and supports inter-agency planning and evidence-based response related to refugee intentions, returns, and durable solutions.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 20 March 2025
    Dataset Added on HDX [?]: 20 March 2025
    This dataset updates: As needed
    Para el año 2025 la estimación de las Personas en Necesidad (PiN) General y las Severidades intersectoriales para Colombia, se desarrolló siguiendo la metodología global JIAF 2.0 (Joint Intersectoral Analysis Framework, por sus siglas en inglés). Esto se relaciona con el análisis del documento del Plan de Respuesta a Prioridades Comunitarias – PRPC- 2025.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2024-October 02, 2024 ... More
    Modified [?]: 20 March 2025
    Dataset Added on HDX [?]: 20 March 2025
    This dataset updates: As needed
    Esta base contiene el resultado final del cálculo de las severidades y la Población en Necesidad (PiN) para el Clúster de Seguridad Alimentaria y Nutrición, Colombia 2025. Para más información, por favor diríjase a la nota metodológica en el siguiente enlace: https://reliefweb.int/report/colombia/pin-2025-nota-metodologica-estimacion-personas-en-necesidades-2025
  • Time Period of the Dataset [?]: October 01, 2024-December 31, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 23 March 2025
    This dataset updates: Never
    Community-Based Protection Monitoring (CBPM) is one of UNHCR’s key tools to identify and monitor key protection issues including violations of rights, displacement, needs of vulnerable populations, access to rights and services, safety, freedom of movement, and occurrences of issues involving Gender Based Violence (GBV), Child Protection (CP), explosive hazards and Housing Land and Property (HLP), in order to identify persons in need of assistance, inform the humanitarian response and advocate for the protection of civilians. CBPM also serves as an evidence-base for design and implementation of protection programs. The methodology used has been jointly developed with the Afghanistan Protection Cluster (APC) and includes standardized data collection tools (HH, KII and FGDs). To monitor and compare the protection environment of girls, boys, men, and women, the data is disaggregated by age and gender that identifies adolescents, youth, and elderly, as well as population groups (i.e., refugees, refugee returnees, undocumented returnees, IDPs, IDP returnees, host communities).
  • Time Period of the Dataset [?]: July 01, 2024-September 30, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 23 March 2025
    This dataset updates: Never
    Community-Based Protection Monitoring (CBPM) is one of UNHCR’s key tools to identify and monitor key protection issues including violations of rights, displacement, needs of vulnerable populations, access to rights and services, safety, freedom of movement, and occurrences of issues involving Gender Based Violence (GBV), Child Protection (CP), explosive hazards and Housing Land and Property (HLP), in order to identify persons in need of assistance, inform the humanitarian response and advocate for the protection of civilians. CBPM also serves as an evidence-base for design and implementation of protection programs. The methodology used has been jointly developed with the Afghanistan Protection Cluster (APC) and includes standardized data collection tools (HH, KII and FGDs). To monitor and compare the protection environment of girls, boys, men, and women, the data is disaggregated by age and gender that identifies adolescents, youth, and elderly, as well as population groups (i.e., refugees, refugee returnees, undocumented returnees, IDPs, IDP returnees, host communities).
  • Time Period of the Dataset [?]: May 30, 2024-July 14, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 12 January 2025
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment
    The 2024 SEIS in Czechia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of the annual interagency regional process led by UNHCR, the survey supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. By addressing key areas such as protection, health, education, shelter, livelihoods, and food security, it delivers essential data to inform evidence-based planning and ensure the diverse needs of refugee groups are met. Data collection took place from May to July 2024 and followed a purposive sampling approach. While not random, the methodology was designed to reflect the geographical and gender distribution of the refugee population using Temporary Protection (TP) data from the Ministry of Interior. Enumerators worked within these parameters, using the snowball method to identify respondents who matched the criteria. The survey was a collaborative effort by UNHCR and the International Organization for Migration. Its findings will inform strategic planning and resource allocation to improve the welfare and resilience of refugees in Czechia.
  • Time Period of the Dataset [?]: May 21, 2024-July 27, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 8 December 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment
    The 2024 Socio-Economic Insights Survey (SEIS) in Slovakia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of an annual interagency regional process led by UNHCR, this assessment supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. Covering topics such as protection, health, education, shelter, livelihoods, and food security, the survey offers critical data to inform evidence-based planning and prioritization, ensuring the specific needs of different refugee groups are addressed. Data collection was conducted through face-to-face interviews from May to July 2024 with a probability-based random sample of refugee households, managed collaboratively by UNHCR and the International Organization for Migration. Findings will guide strategic interventions and resource allocation to enhance the welfare and resilience of the refugee population in Slovakia.
  • Time Period of the Dataset [?]: January 17, 2023-February 09, 2023 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The 2023 Results Monitoring Survey (RMS) in the Republic of Congo aimed to monitor key impact and outcome indicators related to education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation for refugees and asylum seekers. The survey was conducted between January 17 and February 9, 2023, targeting 1,900 households across Brazzaville, Pointe-Noire, Likouala, and Cuvette. The survey achieved interviews with 1,473 households (77.53% coverage), with data collected through Computer-Assisted Personal Interviews (CAPI). The results contribute to an evidence base for UNHCR’s multi-year strategies in the country.
  • Time Period of the Dataset [?]: December 01, 2022-January 23, 2023 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The Results-Monitoring Survey (RMS) was conducted by UNHCR South Sudan in the last quarter of 2022 to serve as a pilot tool for measuring country operations' results regarding internally displaced persons (IDPs). Using computer-assisted personal interviews, around 4,634 questionnaires were carried out proportionally across eight states. The target was IDPs in camps and non-camp settings, including hard-to-reach areas. A simple random sampling method was used to allow generalizability and minimize bias. The questionnaire was tailored to the local context while drawing from the standard RMS instrument. Sample sizes were calculated for states and counties based on displacement figures and partner presence. A 95% confidence level and 5% margin of error determined the state samples. The county samples used 90% confidence and 5% margins given the need for greater precision at lower administrative levels. Total target was 5,309 households, allocated proportionally. High response rate (97%) exceeded targets in some counties. The pilot provides baseline data on results indicators to track over time. Key aspects were representative sampling, localized questionnaire, sufficient sample size, and community access enabling quality data for ongoing monitoring.
  • Time Period of the Dataset [?]: May 20, 2024-July 27, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 12 January 2025
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment
    The 2024 Socio-Economic Insights Survey (SEIS) in Romania is a comprehensive regional assessment conducted from May to July 2024, focusing on the needs of refugees in Romania, particularly those from Ukraine. This multi-sectoral survey aims to capture key data on refugees' socio-economic integration, access to national systems, and their priorities for the coming year, providing valuable insights to inform the 2025 Refugee Response Plan (RRP). The survey employs a stratified random sampling method and involves face-to-face and online interviews with refugees, covering topics such as health, education, protection, food security, and livelihoods. The collected data is anonymized and cleaned for use in policy planning and intervention development. The findings highlight gaps in services and provide crucial information on the changing trends in refugees’ needs, contributing to a more targeted and effective response to refugee challenges in Romania.
  • Time Period of the Dataset [?]: February 27, 2023-April 07, 2024 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The UNHCR Results Monitoring Survey (RMS) in Mozambique, conducted from February 27, 2023, to April 7, 2024, by CS Research and the United Nations High Commissioner for Refugees, assessed the impact in areas such as Health and Nutrition, Water Sanitation Hygiene, Protection, and Education among refugees, asylum-seekers, and IDPs. Covering regions like Cabo Delgado and Nampula, the survey employed mixed sampling methods, including phone surveys (CATI) for widespread geographical coverage, excluding Nampula City and Maratane Camp, and face-to-face interviews (CAPI) in specified areas. This approach, integrating non-probabilistic and probabilistic techniques, and stratified by gender, provided comprehensive data, crucial for UNHCR’s strategic planning and reporting in Mozambique.