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  • 2600+ Downloads
    Updated 5 March 2021 | Dataset date: December 10, 2019-December 10, 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 on the GCSI methodology here: https://www.acaps.org/methodology/severity This data is also available on ACAPS API: http://api.acaps.org/api/v1
  • 70+ Downloads
    Updated 4 March 2021 | Dataset date: November 20, 2020-November 20, 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 30+ Downloads
    Updated 15 December 2020 | Dataset date: December 15, 2020-December 15, 2020
    This dataset updates: Every six months
    ACAPS' Humanitarian Access Dataset puts together all the pieces of information on Humanitarian Access Constraints of the first part of 2020. The report resulting from this dataset is the Humanitarian Access Overview, which outlines how access to humanitarian assistance continues to be restricted for crisis-affected populations in more than 60 countries. Data from the dataset is coded according to access dimensions, indicators and sub-indicators, then scored on a 0 to 5 severity scale. The dataset displays: data collected, coded in "log" tab with its "data dictionary" aggregation of data by country, scored per "indicator" country scores (pillars, overall access score and information gaps) in "Scores" tab gis compatible clean tab with ISO codes According to this data, we identified the following: Extreme access constraints (Level 5) for: Eritrea, Libya, Syria, Yemen. Very high access constraints (Level 4) for: Afghanistan, Bangladesh, Cameroon, Democratic Republic of Congo (DRC), Ethiopia, Iraq, Mali, Myanmar, Nigeria, Palestine, Somalia, South Sudan, Venezuela. High access constraints (Level 3) for: Azerbaijan, Burkina Faso, Central African Republic (CAR), Chad, Colombia, Democratic People’s Republic of Korea (DPRK), Honduras, India, Iran, Lebanon, Mozambique, Nicaragua, Niger, Pakistan, Sudan, Turkey, Ukraine. For more information, download the dataset. To access ACAPS' Humanitarian Access Overview, please visit: http://humanitarianaccess.acaps.org/
  • Updated 9 December 2020 | Dataset date: January 01, 2020-January 01, 2020
    This dataset updates: As needed
    This data is about Uganda Red Cross Society Projects Footprint as of 01 01 2020
  • 20+ Downloads
    Updated 9 December 2020 | Dataset date: January 01, 2020-January 01, 2020
    This dataset updates: As needed
    This data is about the 51 Uganda Red Cross Society Branches as of 01 12 2020
  • 100+ Downloads
    Updated 5 November 2020 | Dataset date: October 27, 2016-October 27, 2016
    This dataset updates: As needed
    This is an extraction of the WFP global obstacles dataset (https://data.humdata.org/dataset/global-obstacles) for Haiti showing obstacles after Hurricane Matthew. The dataset will refresh by itself as data is edited on our side, so it means it will always contain the most up-to-date data we have on the Logistics Cluster/WFP side, even though the date on hdx is showing an earlier date. Sources of information come mainly from Social Media compiled by local Haitian Bloggers: https://umap.openstreetmap.fr/fr/map/cyclone-matthew-haiti_105242#9/18.8166/-72.5290 The dataset is the one used to produce the Logistics Cluster Access Constraints map: http://www.logcluster.org/sector/hurrimat16
  • 2900+ Downloads
    Updated 21 September 2020 | Dataset date: January 01, 2016-August 31, 2020
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 200+ Downloads
    Updated 4 September 2020 | Dataset date: August 31, 2020-August 31, 2020
    This dataset updates: As needed
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
  • 100+ Downloads
    Updated 2 September 2020 | Dataset date: August 31, 2020-August 31, 2020
    This dataset updates: Every two weeks
    This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed
  • 200+ Downloads
    Updated 4 August 2020 | Dataset date: April 01, 2019-April 01, 2019
    This dataset updates: As needed
    This dataset is based on an extract from OpenStreetMap. In addition, it contains access constraints status in the column "status" and is edited regularly with information received by partners of the Logistics cluster in Mozambique. This dataset is the same as used on the Logistics Cluster Access Constraints map published here: https://logcluster.org/sector/cyclone-idai19
  • 300+ Downloads
    Updated 10 June 2020 | Dataset date: April 22, 2020-April 22, 2020
    This dataset updates: Every three months
    The file contains accessibility status of admin level 3 (woreda) as of April, 2020
  • 100+ Downloads
    Updated 26 May 2020 | Dataset date: May 26, 2020-May 26, 2020
    This dataset updates: As needed
    The COVID-19 Humanitarian Exemptions to Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic.
  • 40+ Downloads
    Updated 23 September 2019 | Dataset date: April 22, 2016-April 22, 2016
    This dataset updates: Never
    This dataset shows road access constraints in Ecuador after the earthquake that occurred on 17 April 2016
  • 10+ Downloads
    Updated 31 July 2019 | Dataset date: January 01, 2012-June 30, 2019
    This dataset updates: Every month
    Afectados y eventos de restricciones al acceso por violencia armada 2012-2019
  • 400+ Downloads
    Updated 25 July 2019 | Dataset date: July 25, 2019-July 25, 2019
    This dataset updates: Every year
    State of Palestine - Israeli Firing Zones (Closed Military Areas) in the West Bank
  • 1700+ Downloads
    Updated 17 July 2019 | Dataset date: April 29, 2019-April 29, 2019
    This dataset updates: Every six months
    Please see the method summary
  • 300+ Downloads
    Updated 14 March 2019 | Dataset date: March 01, 2019-March 01, 2019
    This dataset updates: Every six months
    A spreadsheet of responses recorded by three focus groups reviewing access constraints in Mali. The data has been collected during six regional workshops. The data was collected between December 2018 and February 2019.
  • 400+ Downloads
    Updated 28 February 2019 | Dataset date: January 20, 2019-January 20, 2019
    This dataset updates: Every three months
    This data set is about severity of humanitarian access difficulty in Yemen, as of January 2019.
  • 300+ Downloads
    Updated 21 January 2019 | Dataset date: December 31, 2018-December 31, 2018
    This dataset updates: Every year
    Closures, Barriers and Settlements in the occupied Palestinian territory.
  • 100+ Downloads
    Updated 26 April 2018 | Dataset date: January 01, 2012-March 31, 2018
    This dataset updates: Every month
    Dataset con eventos y afectados por violencia armada en Colombia por departamento y municipio 2012-2017 Las categorías contenidas en los datasets son: - Desplazamiento masivo* (eventos y afectados) - Restricciones al acceso por violencia armada (eventos y afectados) - Acciones armadas (eventos) - Ataques contra población civil (eventos) *Un desplazamiento se considera masivo si afecta a más de 50 personas o 10 familias Información en línea sobre eventos de violencia armada en monitor.umaic.org Más sobre nuestras categorías de Violencia armada en: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada Dataset with events and people affected by armed violence in Colombia 2012-2018, by department and municipality The categories contained in the datasets are: - Mass* displacement (events and people affected - IDPs) - Access restrictions caused by armed violence (events and people affected) - Armed actions (events) - Attacks against civilians (events) Online information about events and people affected by armed violence (in Spanish) in monitor.umaic.org More about our categories on armed violence (in Spanish) in: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada
  • 40+ Downloads
    Updated 24 April 2018 | Dataset date: January 01, 2012-March 31, 2018
    This dataset updates: Every month
    Dataset con resumen mensual eventos y afectados por violencia armada en Colombia 2012-2018 Las categorías contenidas en los datasets son: - Desplazamiento masivo* (eventos y afectados) - Restricciones al acceso por violencia armada (eventos y afectados) - Acciones armadas (eventos) - Ataques contra población civil (eventos) *Un desplazamiento se considera masivo si afecta a más de 50 personas o 10 familias Información en línea sobre eventos de violencia armada en monitor.umaic.org Más sobre nuestras categorías de Violencia armada en: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada Dataset with monthly totals on events and people affected by armed violence in Colombia 2012-2018 The categories contained in the datasets are: - Mass* displacement (events and people affected - IDPs) - Access restrictions caused by armed violence (events and people affected) - Armed actions (events) - Attacks against civilians (events) Online information about events and people affected by armed violence (in Spanish) in monitor.umaic.org More about our categories on armed violence (in Spanish) in: https://wiki.umaic.org/wiki/Sistema_de_categor%C3%ADa_del_m%C3%B3dulo_de_eventos_de_violencia_armada
  • 300+ Downloads
    Updated 18 December 2017 | Dataset date: June 30, 2014-June 30, 2014
    This dataset updates: Every three months
    Classification tool used for the Humanitarian Needs Overview 2015.
  • 600+ Downloads
    Updated 27 March 2017 | Dataset date: January 01, 2014-December 31, 2016
    This dataset updates: Every three months
    Desde 2013, la oficina de OCHA en Colombia inició el monitoreo sistemático de las limitaciones al acceso humanitario. El desarrollo de hostilidades, la contaminación por armas, las restricciones impuestas por grupos armados, los bloqueos de vías y alteraciones de seguridad en el marco de protestas sociales, o las condiciones geográficas y logísticas, pueden impedir o limitar la movilidad de comunidades y por tanto restringir su capacidad para acceder a asistencia, bienes y servicios básicos.