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  • OCHA ROLAC
    Updated March 24, 2017 | Dataset date: Jul 24, 2015
    Información de aspectos limítrofes de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes
  • ACLED Conflict Data Project
    Updated March 21, 2017 | Dataset date: Jan 1, 2017
    ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files. ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).
    • ZIP
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every year
  • OCHA Colombia
    Updated March 16, 2017 | Dataset date: Dec 31, 2015
    Herramienta de priorización geográfica del Humanitarian Needs Overview (HNO) 2015. La matriz de necesidades fue construida a partir de indicadores humanitarios sectoriales; priorización según los Equipos Humanitarios Locales (EHL)
    • XLSX
    • XLS
    • 30+ Downloads
    • This dataset updates: Every three months
  • OCHA South Sudan
    Updated March 16, 2017 | Dataset date: Oct 31, 2014
    The humanitarian needs overview (HNO) promotes a shared understanding of the impact and evolution of a crisis within the humanitarian country team (HCT) and informs strategic response planning. This ensures that credible evidence and a joint analysis of needs underpins an effective and targeted humanitarian response. Following indicators were identified during the 2015 HNO process for South Sudan Theme 01: Conflict Protection Displaced Population - Conflict Displacement Count - Access to Markets - % Health care facilities affected - # of Schools Occupied by IDPs and/or Armed Forces - # of people per water source Theme 02: Malnutrition - Nutrition Classification(GAM) Theme 03 - Death, Injury and Disease - Disease Outbreak - # of Functioning health care facilities/pop. - IPC - Conflict Displacement Count - # of people per water source Theme 04 - Food Security and Livelihood - IPC
    • XLS
    • 20+ Downloads
    • This dataset updates: Never
  • Global Healthsites Mapping Project
    Updated March 10, 2017 | Dataset date: Mar 10, 2017
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Joint IDP Profiling Service (JIPS)
    Updated February 16, 2017 | Dataset date: Mar 1, 2013-Sep 30, 2013
    Data from 1,063 household interviews conducted in 2013 in 14 neighbourhoods in Delhi targeting refugee/asylum seekers from Afghanistan, Myanmar and Somalia, and their Indian neighbours for comparisons.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • OCHA Mali
    Updated January 26, 2017 | Dataset date: May 31, 2015
    The dataset highlights the number of IDPs in Mali by region from Sep '12 - Dec'14.
  • The data regards the Population of Mali disaggregated by age for each region in Mali
    • XLS
    • 40+ Downloads
    • This dataset updates: Never
  • OCHA ROSEA
    Updated January 19, 2017 | Dataset date: Jan 1, 2013
    The Kenya National Inequality Index per county report
    • CSV
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every year
  • Kenya National Bureau of Statistics
    Updated January 19, 2017 | Dataset date: Feb 24, 2009-Dec 20, 2013
    The Dataset shows the Student Enrollment by Sex in Technical Institutions for the period of 2009 – 2013 as reported by the Kenya National Bureau of statistics in the KNBS Economic Survey 2014
    • CSV
    • This dataset updates: Every year
  • The Kenya Population Distribution by Sex, Number of Households, Area and Density per county (2009)
    • CSV
    • 10+ Downloads
    • This dataset updates: Every year
  • OCHA Mali
    Updated January 19, 2017 | Dataset date: Nov 25, 2014
    The data of the population of Mali is disaggregated by sex in this file. The data is at the Communes level (Admin 3). The data was compiled in May 2013 by the DNP and is an official estimation based on the 2009 official census for Mali.
    • XLS
    • 10+ Downloads
    • This dataset updates: Never
  • The Displacement Tracking Matrix (DTM) is an information management tool and IOM strives to inform all stakeholders on the whereabouts and the situation of the displaced population from the current crisis currently engulfing Iraq. The DTM provides critical tracking and monitoring information of displacement on as regular basis as the prevailing situation allows and to as wider an audience as possible. IOM uses a series of methods to regularly collect data on IDPs, making collections nearly every other week. The datasets in this repository span from March to September 2014. For more information, please visit IOM Iraq's DTM website.
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every month
  • U.S. Department of State - Humanitarian Information Unit
    Updated July 17, 2016 | Dataset date: Jun 11, 2015
    Data as of June 11, 2015. The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.
  • This file contains the Malian refugees camp locations in BURKINA FASO, NIGER and MAURITANIA provided by UNHCR.
    • SHP
    • CSV
    • 60+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2012-Dec 31, 2012
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2014-Dec 31, 2014
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
    • XLSX
    • 20+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2013-Dec 31, 2013
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
    • XLSX
    • URL
    • 60+ Downloads
    • This dataset updates: Never
  • OCHA South Sudan
    Updated July 17, 2016 | Dataset date: Jan 19, 2014-Dec 31, 2014
    Assessment Status by IDP Site
    • XLS
    • 10+ Downloads
    • This dataset updates: Never
  • OCHA South Sudan
    Updated July 17, 2016 | Dataset date: Jan 19, 2014-Jan 30, 2015
    Humanitarian Response Status by IDP site locations in South Sudan.
    • XLS
    • 20+ Downloads
    • This dataset updates: Never
  • Internal Displacement Monitoring Centre (IDMC)
    Updated July 17, 2016 | Dataset date: Jul 24, 2015
    Using a consistently applied methodology, IDMC’s database includes estimates for the period from 2008 to 2015 covering 161 countries. These estimates are related to disasters triggered by both weather-related and geophysical hazard events, such as floods, storms, earthquakes, volcanic eruptions and wildfires. Estimates for new displacement per disaster or event recorded as having started in 2015. Annual total new displacement per country for each year from 2008 to 2015 Your feedback is welcome and requests for guidance in the use and interpretation of the data are encouraged. Please contact us at globalestimates@nrc.ch.
    • XLSX
    • XLS
    • 80+ Downloads
    • This dataset updates: Every six months
  • OCHA South Sudan
    Updated May 10, 2016 | Dataset date: Feb 1, 2014-Dec 1, 2014
    Who What Where (3W) related to ongoing humanitarian activities in South Sudan Who - Agency What - Related Cluster of the given activity Where - Location of the activity (State and County)
    • XLS
    • CSV
    • 20+ Downloads
    • This dataset updates: Every three months
  • U.S. Department of State - Humanitarian Information Unit
    Updated February 4, 2016 | Dataset date: Jun 30, 2015
    Data as of late June 2015. The "Syria IDP Sites" dataset is compiled by the U.S. Department of State, Humanitarian Information Unit (INR/GGI/HIU). This dataset contains open source derived data about the geographic locations (point geometry) of identified tent camps and other locations, such as collective centers, schools, mosques, sports facilities, host families, etc. in towns inside Syria where displacement has taken place. Sources of this information include the United Nations, the Assistance Coordination Unit, the Syria Needs Assessment Project, NGOs, and media reports. Location coordinates are at the city level and are plotted using the Syria P-Code system (http://www.mapaction.org/map-catalogue/mapdetail/2753.html) and NGA GEOnet Names Server (http://earth-info.nga.mil/gns/html) datasets. The field "PCode" is a combination of the all the administrative level and community level P-Codes for a specific location. Camp locations are verified using high-resolutions commercial satellite imagery. In the "Designation" field "IDP Site" refers to informal or formal settlements for specific IDP use. This dataset will be updated as needed and is current as of late June 2015. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • The Global Exposure Database for GAR: A Global exposure database was developed for GAR15 by UNEP-GRID with close collaboration and inputs from WAPMERR (World Agency of Planetary Monitoring and Earthquake Risk Reduction), EU Joint Research Center (JRC), and Kokusai Kogyo. This database includes estimation on the economic value of the exposed assets, as well as their physical characteristics in urban and rural agglomerations. This information is key to assess the potential damages from different hazards to each of the exposed elements. The global exposure database is developed at 1km spatial resolution at coastal areas and at 5km spatial resolution everywhere else on the globe. It includes economic value, number of residents, and construction type of residential, commercial and industrial buildings, as well as hospitals and schools (De Bono et al., 2015).
  • OCHA Colombia
    Updated January 8, 2016 | Dataset date: Dec 15, 2014
    Centro poblado (CP): es un concepto creado por el DANE para fines estadísticos, útil para la identificación de núcleos de población. Se define como una concentración de mínimo veinte(20) viviendas contiguas, vecinas o adosadas entre sí, ubicada en el área rural de un municipio o de un Corregimiento Departamental. Dicha concentración presenta características urbanas tales como la delimitación de vías vehiculares y peatonales. En las tablas referidas a la codificación de la Divipola, se identifican en la columna “Categoría” con la expresión o etiqueta “CP”, indicando que si bien se trata de un centro poblado, no se cuenta con la precisión de la autoridad municipal, que permita afirmar si se trata de un caserío, de una inspección de policía, o de un corregimiento municipal.