IOM is committed to the principle that humane and orderly migration benefits migrants and society.
As the leading international organization for migration, IOM acts with its partners in the international community to: a) Assist in meeting the growing operational challenges of migration management.
b) Advance understanding of migration issues.
Encourage social and economic development through migration.
c) Uphold the human dignity and well-being of migrants.
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Updated
11 September 2020
| Dataset date: August 01, 2019-March 31, 2020
This dataset updates: Every year
This survey was conducted by IOM DTM covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties.
The dataset has health facilities' names, locations and the services available there.
Updated
11 September 2020
| Dataset date: February 01, 2020-March 31, 2020
This dataset updates: Every year
The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level. A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Updated
9 September 2020
| Dataset date: January 07, 2020-February 23, 2020
This dataset updates: Every year
The dataset contains number of people displaced and returnees at village level in North Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
Updated
7 May 2020
| Dataset date: April 01, 2020-May 06, 2020
This dataset updates: Every month
The current COVID 19 outbreak has affected global mobility in the form of various travel disruptions, restrictions and bans On 18 March 2020 the Government of Cameroon put in place a series of precautionary measures to contain the spread of the pandemic including the closure of the country’s land, air and sea borders, the suspension of visa issuance at the airports for all incoming travellers, the shutdown of all training and educational establishments and the banning of gatherings of more than fifty persons throughout its national territory In order to better understand how these restrictions are affecting mobility in the country.
Updated
31 March 2020
| Dataset date: March 26, 2020-March 26, 2020
This dataset updates: As needed
COVID-19 Travel Restriction Monitoring - Using secondary data sources, such as the International Air Transport Association (IATA), media reports and information direct from IOM missions, this platform maps and analyzes the various country, territories and areas imposing restrictions, and those with restrictions being imposed upon them, all categorized by restriction type. All analyses is presented at country level.
Updated
10 March 2020
| Dataset date: March 02, 2020-March 08, 2020
This dataset updates: As needed
The DTM Emergency Tracking activated on an ad hoc basis. Only Emergency situations which cause significant damage and require an immediate response or cause displacement taken into account.
Updated
23 February 2020
| Dataset date: February 20, 2020-February 20, 2020
This dataset updates: Every three months
Following extreme violence in August 2017 in Rakhine State, Myanmar, an estimated 700,000 Rohingya refugees fled to Cox’s Bazar district, Bangladesh. Previous influxes were recorded in October 2016, when approximately 87,000 people crossed into Bangladesh, and other waves were registered during the previous decades. Most of the Rohingya refugees settled in Ukhyia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
The two datasets present the results of the NPM Round 17 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs. Information for this assessment was collected using Key Informant Interview methodology. Female key informants in 1906 locations and Male key informants in 1990 locations were interviewed face to face between the 18th December 2019 – 28th January 2020.
Updated
17 February 2020
| Dataset date: September 16, 2019-October 12, 2019
This dataset updates: As needed
The dataset contains number of people displaced and returnees at village level in Tanganyika province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
Updated
27 January 2020
| Dataset date: January 01, 2019-December 31, 2019
This dataset updates: Every six months
DTM in Yemen includes the monitoring of key migrant and return locations on Yemen's northern border with Saudi Arabia and southern coastal border. DTM monitors the arrivals of migrants and Yemeni nationals in order to identify different patterns and types of migration. IOM estimates that 6,589 migrants entered Yemen in addition to 2,819 Yemeni returns from Saudia Arabia during November 2019 bringing the number of migrants who have arrived in Yemen in 2019 to 127,275 and the number of Yemeni returnees to 44,777
Updated
16 December 2019
| Dataset date: May 01, 2018-July 20, 2018
This data is by request only
DTM Round 3 was implemented at the northern (Tumbes) and southern borders (Tacna) of the country and at points of affluence in Metropolitan Lima; between May 2018 and June 2018. This had questions related to Profile of Venezuelan migrant, Living conditions in Lima and Callao, Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields
Updated
12 December 2019
| Dataset date: November 04, 2019-November 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.
Updated
12 December 2019
| Dataset date: September 04, 2019-October 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.
Updated
12 December 2019
| Dataset date: September 04, 2019-October 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.
Updated
12 December 2019
| Dataset date: September 04, 2019-October 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.
Updated
6 December 2019
| Dataset date: November 05, 2019-November 05, 2019
This dataset updates: Every three months
This data was collected through 66 key informant interviews across 23 settlements in the affected areas of between the 30th of October and 5th of November. At the time of completion, 5,704 individuals were identified as living in the affected settlements in Greater & Little Abaco.
This multi-sectoral location assessment has been designed with input from the various Emergency Support Functions (ESFs) coordinating the Hurricane Dorian response in the Bahamas. It provides an overview of the population distribution, needs, and access to services, of returnees, remainees, and evacuees across Greater and Little Abaco. This document is part of a series of ongoing efforts conducted by IOM to inform service providers, humanitarian actors and donors on main needs while reducing survey fatigue of key informants by streamlining assessment activities.
Updated
29 November 2019
| Dataset date: May 01, 2016-November 22, 2019
This dataset updates: Every six months
The assessment contains IDPs and Returnees data at village level. The data is gender and age disaggregated and also has number of vulnerable population and the needs assessment.
Updated
27 November 2019
| Dataset date: October 02, 2019-November 12, 2019
This dataset updates: Every six months
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.
Updated
26 November 2019
| Dataset date: October 02, 2019-November 09, 2019
This dataset updates: Every three months
Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.
Updated
18 November 2019
| Dataset date: August 08, 2019-October 10, 2019
This dataset updates: Every three months
NPM Bangladesh has produced a number of tools based on its regular data collection activities. The package of November 2019 is based on NPM Site Assessment 16 (during the months of 21st August – 10th October) and NPM most updated drone imagery (as of 23 January 2019).
Here below, the complete package by camp:
SW Map package KMZ file Drone image
The full image and shapefiles are available at this link.
