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  • 1500+ Downloads
    Updated January 26, 2020 | Dataset date: Jan 1, 2019-Dec 26, 2019
    This dataset updates: Every week
    Newly displaced population due to conflict between 01 January 2019 and 26 December 2019, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 26 January 2020 and the numbers are expected to change as new assessment figures become available.
  • 100+ Downloads
    Updated January 22, 2020 | Dataset date: May 7, 2019
    This dataset updates: As needed
    This data is about the refugees, idps and returnees in the Lake Chad Basin.
  • 1000+ Downloads
    Updated January 22, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every month
    Data contains: - Monthly full details data sets for IDP movements and spontaneous IDP returns estimations. - In each file there is summary table for IDP arrival estimations at governorates level since January-2016. - In each file there is summary table for spontaneous IDP returns estimations at governorates level since August-2018.
  • 1200+ Downloads
    Updated January 21, 2020 | Dataset date: Nov 1, 2018
    This dataset updates: Every month
    The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors: Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
  • 3100+ Downloads
    Updated January 20, 2020 | Dataset date: Dec 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.
  • 4300+ Downloads
    Updated January 13, 2020 | Dataset date: Sep 1, 2019-Sep 30, 2019
    This dataset updates: Every six months
    The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level.
  • 1100+ Downloads
    Updated January 13, 2020 | Dataset date: Sep 1, 2018-Dec 31, 2019
    This dataset updates: Every month
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
  • 60+ Downloads
    Updated January 2, 2020 | Dataset date: Dec 25, 2019-Dec 27, 2019
    This dataset updates: As needed
    Findings presented in this data set are based on data collected by REACH as part of a rapid camps and sites assessment to provide insight on: How many new IDP arrivals are arriving to camps, informal settlements, collective centres, or transit reception centres reported at the site level since Dec. 18th Movement intentions of the new IDP arrivals in the coming two weeks Identify priority needed items by sector of the new IDP arrivals. Data was collected in 150 communities across eight sub-districts in Northern Idleb and Western Aleppo from 25 to 27 December 2019 through REACH enumerators who surveyed one Key Informant (KI) per community on internally displaced persons' (IDPs) camps and sites nearest to their community. In order to qualify as camp or site, a site had to have 5 or more IDP households living on its premises. 1,253 camps and sites were assessed across 150 communities. IDP numbers solely represent newly arrived IDPs (5 or more HH) to planned camps, informal settlements, collective centres, and transit reception centres, and do not account for total camp or site IDP populations or IDPs within the host communities. The definition of IDPs used by enumerators for this assessment was ‘Individuals or groups of people who have been forced to leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects of armed conflict, situations of generalised violence, violations of human rights, or natural or man-made disasters, and who have not crossed an international border'. The definition of planned camp was 'A planned camp is a place where IPDs find accomodation on purpose-built sites, where service infrastructure is provided and distribution take place. The camp is established by an accountable humanitarian actor and to the extent possible, meet the minimum SPHERE standards'. The definition of informal settlements was 'Otherwise known as a self-settled camp or a spontaneous site, hosting 5 or more IDP households. IDPs may settle in a camp that is independent of assistance from the government or humanitarian community. They are a group of tented, or other types of housing units, or unfinished buildings established by IDPs themselves or by non-experienced actors, often erected on land that the occupants have no legal claim to. IDPs intend to stay in this location for an extended period of time. At the moment, most of the so-called IDP camps in Syria fall under this category. ' The definition of collective centres was 'A pre-existing building or other structure used to host 5 or more IDP households, e.g. public buildings, schools, mosques, private collective building' The definition of transit reception centres was 'Otherwise known as transit camps, they provide temporary accomodation for displaced persons pending transfer to a suitable, safe, longer term camp, or at the end of an operation as a staging point of return. Reception/transit centres are usually either intermediate or short-term installations. These sites are often established during extremely large displacements.' Information should be considered as reflective of the situation at the time of data collection, given the dynamic situation in the region. In addition, information should be considered as indicative, and not representative, of the situation.
  • 3200+ Downloads
    Updated December 31, 2019 | Dataset date: Aug 8, 2019-Oct 8, 2019
    This dataset updates: Every six 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.
  • 8700+ Downloads
    Updated December 31, 2019 | Dataset date: Aug 8, 2019-Oct 8, 2019
    This dataset updates: Every three months
    Data set has IDPs, Households, geographic locations and reasons of displacement etc. 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.
  • 6700+ Downloads
    Updated December 31, 2019 | Dataset date: Aug 8, 2019-Oct 8, 2019
    This dataset updates: Every six 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.
  • 50+ Downloads
    Updated December 31, 2019 | Dataset date: Dec 21, 2019
    This dataset updates: Every three months
    The dataset contains number of IDPs, families and their needs at sub national level with site coordinates.
  • 1300+ Downloads
    Updated December 27, 2019 | Dataset date: May 5, 2019-Jul 10, 2019
    This dataset updates: As needed
    This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment. Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
  • 500+ Downloads
    Updated December 26, 2019 | Dataset date: Nov 6, 2019
    This dataset updates: Every week
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • 600+ Downloads
    Updated December 24, 2019 | Dataset date: Dec 2, 2019-Dec 12, 2019
    This dataset updates: Every three months
    Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in the Sofala province of Mozambique one of the provinces affected by the storm.
  • 2200+ Downloads
    Updated December 23, 2019 | Dataset date: Oct 1, 2019-Oct 31, 2019
    This dataset updates: Every three months
    The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements. The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin.
  • 1700+ Downloads
    Updated December 23, 2019 | Dataset date: Oct 31, 2019
    This dataset updates: Every three 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.
  • 100+ Downloads
    Updated December 20, 2019 | Dataset date: Aug 31, 2019
    This dataset updates: As needed
    Ce jeu de données, validé par la commission mouvement de population, donne l'historique des PDIs (Personnes Déplacées Internes) et Réfugiés par sous-préfecture.
  • 10+ Downloads
    Updated December 19, 2019 | Dataset date: Nov 30, 2019
    This dataset updates: Never
    This data is about the key figures of the severely affected areas on the 6.6 earthquake in Tulunan, Cotabato (North Cotabato).
  • 30+ Downloads
    Updated December 14, 2019 | Dataset date: Dec 5, 2018
    This dataset updates: As needed
    A Population technical workgroup was formed in Sana’a (IOM, UNFPA, OCHA, NAMCHA and CSO ) and another one in Aden (IOM, OCHA, CSO, MOPIC including Executive Unit). IDP data flow figures (from district to district) were collected, cross checked between different sources (IOM DTM, NAMCHA, Executive unit) in cases multiple datasets for the same location were available. This resulted in a country-wide IDP movement database. The TWGs agreed to use this database to calculate the estimated population using the following formula : Estimated Population = CSO projected population( 2019) – IDPS who left the district + idps who came to the district All members in both workgroups agreed on the final results on 3 Dec 2018. The attached dataset represents the results of the work of both groups and will be used for 2019 HNO and HRP. Maintaining up to date population figures going forward Both TWGs are discussing the frequency of population figures updates for 2019. The intent is to agree on quarterly updates, using the same methodological approach
  • Updated December 14, 2019 | Dataset date: Apr 3, 2019
    This dataset updates: As needed
    This layer contains information about total population and poor people living communes affected by flooding in 2013 in Cambodia. Data Source: LandScan population in 2015, Copernicus flood extent in 2013, IDPoor data of Ministry of Planning and Department of Geography of the Ministry of Land Management, Urban Planning and Construction.
  • 20+ Downloads
    Updated December 12, 2019 | Dataset date: Nov 4, 2019-Nov 10, 2019
    This dataset updates: As needed
    Following the rains that hit certain areas of the country as early as 21 October, flooding cases involving the displacement of populations are mentioned in some localities of the country. IOM through its Displacement Tracking Matrix (DTM) conducted rapid assessments in the districts of Bangui 2nd, Bangui 6th, Bangui 7th, and Bombo.
  • 10+ Downloads
    Updated December 12, 2019 | Dataset date: Sep 4, 2019-Oct 16, 2019
    This dataset updates: As needed
    The datasets cover the period of 4 September - 16 October and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.
  • 10+ Downloads
    Updated December 12, 2019 | Dataset date: Sep 4, 2019-Oct 16, 2019
    This dataset updates: As needed
    The datasets cover the period of 4 September - 16 October and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.
  • 10+ Downloads
    Updated December 12, 2019 | Dataset date: Sep 4, 2019-Oct 16, 2019
    This dataset updates: As needed
    The datasets cover the period of 4 September - 16 October and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.