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  • 20+ Downloads
    Updated June 26, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: As needed
    This dataset covers events in which a health facility was damaged or destroyed by explosive weapon use in 2018. It will be regularly updated with additional details on the impact of explosive weapon use on health facilities. It is a sub-dataset of '2018 SHCC Attacks Data'.
  • 3700+ Downloads
    Updated June 26, 2019 | Dataset date: Jun 26, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 100+ Downloads
    Updated June 26, 2019 | Dataset date: Aug 12, 2018
    This dataset updates: Every month
    Topline figures dataset for OCHA Afghanistan organisation page
  • 10+ Downloads
    Updated June 25, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains events in which an aid worker was involved in a road traffic accident (RTA). Categorized by country.
  • Updated June 25, 2019 | Dataset date: Mar 31, 2019
    This dataset updates: Every three months
    3W data for South Sudan
  • 50+ Downloads
    Updated June 25, 2019 | Dataset date: Jan 1, 2012-Dec 31, 2018
    This dataset updates: As needed
    Data on targeted and/or actual enrolment of out of school children through partnerships with Educate A Child projects for the years of 2012 - 2018.
  • 60+ Downloads
    Updated June 25, 2019 | Dataset date: Jan 1, 2019-Mar 31, 2019
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 300+ Downloads
    Updated June 25, 2019 | Dataset date: Jan 1, 2018
    This dataset updates: Every year
    This dataset contains population estimates for Tajikistan at country-level, first administrative level (viloyat/regions and independent city) and second administrative level (nohiya/districts and independent cities), including a breakdown by urban and rural areas. The population numbers at country-level and first administrative level are disaggregated by sex and age. Please note that in the admin2 overview, the population numbers for the four districts in Dushanbe are missing. The file includes a sheet with metadata.
  • Updated June 25, 2019 | Dataset date: May 30, 2019
    This dataset updates: Every six months
    This file contains information about Who is doing What and Where in Niger (3W) updated in May 2019.
  • 40+ Downloads
    Updated June 25, 2019 | Dataset date: Mar 1, 2018
    This dataset updates: Every three months
    Water and sanitation mapping in Malawi conducted by using drones and AI. More maps and data available upon request from locations globally.
  • Updated June 25, 2019 | Dataset date: Jun 20, 2019
    This dataset updates: As needed
    Shapefile (WGS 84) of thirty-three lakes of the Philippines with corresponding local name, based on the country shapefile from the Philippine Statistics Authority.
  • 500+ Downloads
    Updated June 25, 2019 | Dataset date: Jun 10, 2019
    This dataset updates: Every six months
    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.
  • Updated June 24, 2019 | Dataset date: Dec 28, 2018
    This dataset updates: Every year
    The zipped CSV file details the estimated people in need and people targeted for nutrition support at the Local Government Authority (LGA) level in all three crisis-affected states of north east Nigeria. Among other elements, it presents the breakdown people in need and people targeted, by settlement type (notably in Internally Displaced Persons (IDP) Camps, Host Communities and in Inaccessible Areas).
  • 30+ Downloads
    Updated June 24, 2019 | Dataset date: Jan 1, 2019
    This dataset updates: Every six months
    The file contains the proposed estimated People In Need (PIN) number by admin level 3 for the 2019 Humanitarian Needs Overview (HNO)
  • 4700+ Downloads
    Updated June 24, 2019 | Dataset date: Jan 20, 2019
    This dataset updates: Every three months
    In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 2000+ Downloads
    Updated June 24, 2019 | Dataset date: Dec 20, 2018
    This dataset updates: Every three months
    DTM location assessment is to collect data on population presence in defined locations identified through the baseline area assessment. The assessment identifies where people are living and informs targets sites for more detailed site assessments.
  • 1000+ Downloads
    Updated June 24, 2019 | Dataset date: Feb 28, 2019
    This dataset updates: Every six months
    This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment. In the context of the political instability that has prevailed since the uprising in Libya (October 2011) and culminated in the collapse of a fragile central authority accompanied by fragmentation and infighting among myriads of militias, with continued fighting since the mid-2014 escalations, estimates indicate that the number of Internally Displaced Per-sons (IDPs) in Libya has exceeded 400,000 individuals, some eight percent of the total population (HNO, September 2015). While the country struggles to achieve and maintain stability, thousands of migrants are also taking journeys to and through Libya in a desperate bid to seek a better life in Europe. These migrants are exposed to risks of being trafficked and exploited while traveling through dangerous routes in deserts and territories controlled by different armed groups, as well as dying during attempts to cross the Mediterranean Sea. However, there has been no standardized mechanism in place to verify and regularly update IDP and migrant numbers. Given that most humanitarian and international organizations operate remotely from Tunis since mid-July 2014 due to the deteriorating security situation, maintaining access to reliable and updated data on the humanitarian situation in Libya has been challenging.
  • The dataset contains number and needs of returnees in Logone Oriental province. This assessment identified 31,994 returned individuals (7,051 households). The results indicate that half of the returnees live in five sites, including Danamadja and Kobiteye in the city of Goré, which alone account for 27 and 20 percent of the returnees that the province hosts, respectively.
  • 1600+ Downloads
    Updated June 24, 2019 | Dataset date: May 31, 2019
    This dataset updates: Every three months
    The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation. The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
  • 10+ Downloads
    Updated June 24, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: As needed
    Myanmar sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 10+ Downloads
    Updated June 24, 2019 | Dataset date: Dec 31, 2011
    This dataset updates: As needed
    Mozambique sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 30+ Downloads
    Updated June 24, 2019 | Dataset date: Jun 20, 2019
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 10+ Downloads
    Updated June 23, 2019 | Dataset date: May 1, 2019-May 31, 2019
    This dataset updates: Every month
    Indicators used in Psychosocial pillar for Ebola response
  • 30+ Downloads
    Updated June 23, 2019 | Dataset date: May 1, 2019
    This dataset updates: Every month
    Data about Psychosocial indicator and activities on Ebola Response DRC
  • 40+ Downloads
    Updated June 23, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2017
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.