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  • Time Period of the Dataset [?]: July 20, 2022-September 18, 2022 ... More
    Modified [?]: 20 May 2025
    Dataset Added on HDX [?]: 24 November 2022
    This data is by request only
    The 2022 Multi-Sectoral Needs Assessment (MSNA), conducted by the REACH Initiative in close collaboration with the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) and mandated by the Inter-cluster Coordination Group (ICCG), aims to understand the multi-sectoral and sector-specific needs, circumstances, and vulnerabilities of households across the entire territory of the Central African Republic. It also aims to understand specific needs and vulnerabilities of population groups, namely non-displaced households, returnees, internally displaced persons (IDPs) living in host communities, and IDPs living at sites. The needs assessment covers protection, health, mental health, WASH, Shelter and NFI, Education, food security, livelihoods and disabilities, as well as the perception of and satisfaction with humanitarian aid (AAP). The 2022 MSNA was conducted through a statistically representative household survey across 66 accessible sub-prefectures (admin2) out of the 72 sub-prefectures of the country. The inaccessible sub-prefectures were evaluated using a Key Informant survey. In consultation with key humanitarian partners and actors, a joint set of indicators, questions, and answer choices were developed for the assessment of needs in the context of the Central African Republic. All surveys were conducted through face-to-face interviews, using the tablet-based Kobo Collect Open Data Kit (ODK) app. Household data collection took place from July 20 to September 18, 2022. A total of 12,347 households were assessed after data cleaning. Data is statistically representative at a 92% confidence level and a +/- 10% margin of error with a buffer of 10% for the entire population on the level of sub-prefectures (admin2) and higher levels, and for specific population groups on the level of prefectures (admin1) and higher levels.
  • 2700+ 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.
  • 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.
  • 12000+ 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.
  • 30+ 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.
  • Time Period of the Dataset [?]: June 26, 2024-July 17, 2024 ... More
    Modified [?]: 1 April 2025
    Dataset Added on HDX [?]: 6 April 2025
    This dataset updates: Never
    This dataset originates from the 2024 Post-Distribution Monitoring (PDM) survey conducted by UNHCR’s Sub-Office in Cox’s Bazar to evaluate the delivery and impact of cash assistance to Rohingya refugees in Bangladesh. The PDM was part of a pilot Cash-Based Interventions (CBI) programme and aimed to gather feedback on the distribution process, usage of received cash, perceived outcomes, and any encountered challenges or protection risks. The survey targeted refugee households in both Cox’s Bazar and Bhasan Char and was conducted between June and July 2024. Data were collected through face-to-face interviews using a structured questionnaire. The findings support programme accountability, inform operational improvements, and guide evidence-based decision-making in humanitarian cash assistance programming.
  • 7500+ 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.
  • 2700+ 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.
  • 2100+ 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.
  • 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
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 17 March 2025
    Dataset Added on HDX [?]: 31 January 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).
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 11 March 2025
    Dataset Added on HDX [?]: 6 December 2024
    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).
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 11 March 2025
    Dataset Added on HDX [?]: 13 January 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).
  • 1100+ Downloads
    Time Period of the Dataset [?]: October 21, 2023-January 16, 2025 ... More
    Modified [?]: 3 March 2025
    Dataset Added on HDX [?]: 23 November 2023
    This dataset updates: Never
    The dataset provides an overview of the material entry process through Rafah and Kerem Shalom crossings. It gives insight into the progress of supplies and dispatched items as well as the vital manifest details associated with them.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 24 February 2025
    Dataset Added on HDX [?]: 24 February 2025
    This dataset updates: Every year
    This dataset contains the final results of the severity calculations and the People in Need (PiN) for the Protection Cluster, as well as the GBV, Mine Action, and Child Protection Areas of Responsibility in Colombia for 2025.
  • 300+ Downloads
    Time Period of the Dataset [?]: September 20, 2022-October 08, 2024 ... More
    Modified [?]: 30 January 2025
    Dataset Added on HDX [?]: 8 December 2022
    This dataset updates: Every year
    South Sudan Inter-Sector Needs Assessment (ISNA) data includes demographic and cluster indicator data (provided by ICCG clusters). Data disaggregated by cluster indicator, by counties and by population groups (IDPs, IDP-returnees, host-communities). The ISNA processes follow the IASC guided multi-sector Need assessment approach. The ISNA process consists of qualitative and quantitative components. IOM led the quantitative data collection and REACH led the qualitative data collection (qualitative data not included in this dataset). Entire process ISNA process managed by the ISAN technical working group (TWG) consists of IOM, REACH and OCHA. OCHA provided the overall coordination and engagement with the ICCG as guided by the Humanitarian coordinator and the HCT.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 29 January 2025
    Dataset Added on HDX [?]: 16 January 2025
    This dataset updates: Every year
    The dataset provides a full breakdown of the affected population, people in need, severity, planned target by cluster, population group, and SADD at the ADM2 level.
  • 100+ Downloads
    Time Period of the Dataset [?]: November 01, 2023-November 30, 2024 ... More
    Modified [?]: 14 January 2025
    Dataset Added on HDX [?]: 22 May 2024
    This dataset updates: Every year
    This dataset shows humanitarian access constraints in the Borno, Adamawa and Yobe states.
  • 50+ Downloads
    Time Period of the Dataset [?]: December 19, 2024-December 24, 2024 ... More
    Modified [?]: 26 December 2024
    Dataset Added on HDX [?]: 26 December 2024
    This dataset updates: Never
    After 13 years of relentless conflict, Syria face severe humanitarian challenges driven by deteriorating infrastructure, disrupted livelihoods, and inadequate essential services. With the recent fall of Assad’s regime and Syria’s liberation, the Rapid Needs Assessment (RNA) underscores pressing multisectoral needs in education, food security, WASH, protection, livelihoods, health, and shelter. Key priorities include restoring electricity, enhancing education, ensuring security, delivering food and water, and addressing critical health and shelter needs. These findings highlight the urgency of coordinated interventions to tackle the complex crises affecting communities in Syria.
  • 80+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 24 December 2024
    Dataset Added on HDX [?]: 24 December 2024
    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).
  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 23 December 2024
    Dataset Added on HDX [?]: 23 December 2024
    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).