Updated
August 6, 2020
| Dataset date: May 15, 2020
A compilation of time-series data from a variety of sources reported at the national, state, and township level. Additional information about the sources is available in the file.
Updated
July 16, 2020
| Dataset date: May 25, 2020-Jun 16, 2020
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.
Updated
July 6, 2020
| Dataset date: Jan 1, 2020-Mar 31, 2020
The data collection exercise conducted in the villages of Aru, Djugu, Irumu, Mahagi and Mambasa territories. It contains number of IDPs, returnees and theri needs.
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.
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.
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.
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
October 30, 2019
| Dataset date: Aug 31, 2018
The dataset contains number of people displaced and returnees at village level in Sankuru province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
Updated
October 30, 2019
| Dataset date: Oct 1, 2018
The dataset contains number of people displaced and returnees at village level in Lomami province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
Updated
September 11, 2019
| Dataset date: May 1, 2017-Jun 30, 2017
Ethiopia DTM Baseline (304 records) and Site Assessment (544 records) data for round 5, which spans May and June of 2017. Data includes demographics and needs of displaced populations in Ethiopia.
Updated
June 11, 2019
| Dataset date: Jun 10, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Jamaica: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
February 24, 2017
| Dataset date: Mar 19, 2016
The data contains the latest estimated population of each administrative level 1 unit in the Lake Chad Basin. Estimation is based on input from UNFPA and the most recently available census for each country. Data is encoded as utf-8. The second row of the CSV contains HXL tags.
Updated
December 7, 2016
| Dataset date: Mar 1, 2015
According to information by the Ministry of Labour, Health and Social Affairs , 118 651 persons with disabilities are registered as recipients of state social assistance by 1 March, 2015 in Georgia that constitutes 3 percent of total population resided in Georgia.
This dataset provides a breakdown of the number of persons with disabilities by first administrative level (region), and a detailed breakdown for the districts belonging to the capital city of Tbilisi.
The provided information depicts the number of disabled persons receiving state social pension/allowance (beneficiaries) across the country. In light of this, state policy determines the total number of disabled persons by the sum of beneficiaries, which directly is connected to the actual number of disabled people living in Georgia. The actual number of disabled persons in Georgia is likely to be higher.
Updated
October 24, 2016
| Dataset date: Oct 24, 2016
The Emergency Tracking (ET) system aims at tracking sudden displacement or return movements triggered by emerging crises. The ET is a crisis-based tool. It does not depend on the location of displacement or return, only on the cause of that movement. The ET figures are not cumulative of the all persons affected by the Mosul crisis thus far, rather the ET update provides only a snapshot of the current displacement situation for the indicated date. The data and information reported on this page are related solely to the displacement caused by the Mosul operations which started on 17 October 2016
Since May 2013, Nigeria has seen an intensification of conflict due to Boko Haram attacks in its north east states of Adamawa, Bauchi, Borno, Gombe, Taraba and Yobe. Insurgency and counter-insurgency have inevitably resulted in the displacement of people across the troubled states. In response to the need for accurate information on internally displaced persons (IDPs), the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The objective of the project is to support the Government of Nigeria in establishing a comprehensive system to collect and disseminate data on IDPs by strengthening the capacity of the National Emergency Management Agency (NEMA), the State Emergency Management Agencies (SEMAs) and other humanitarian actors to conduct assessments on IDPs in a unified and systematized manner. The activities of the DTM project, which consist of conducting baseline assessments and registration for IDPs living in camps and host communities, are currently being carried out in Adamawa, Bauchi, Borno, Gombe, Taraba and Yobe. The information collected will contribute to the provision of a comprehensive profile of the IDP population in Nigeria which will be shared with all relevant stakeholders and will contribute towards enabling the government of Nigeria and humanitarian partners identify the needs of Nigeria’s displaced population and develop interventions for providing IDPs necessary assistance. The project is funded by the Office of Disaster Assistance of the United States Agency for International Development and the European Commission's Humanitarian Aid and Civil Protection Department.
Updated
February 1, 2016
| Dataset date: Jan 2, 2014-Jan 20, 2016
The DTM continually tracks and monitors displacement across Iraq allowing IOM to identify the locations to which IDPs have chosen to settle. The location and population of these IDPs are recorded and further in-depth assessments are conducted to identify the multi-sectoral needs of the displaced.
Displacement data are presented on interactive maps below. Using the tabs you can check location based Displacements of 2014 starting from Governorates, Districts to location level. Plus, Accumulative development of displacement month by month until today.
Updated
December 4, 2015
| Dataset date: Nov 30, 2015
The DTM continually tracks and monitors displacement across Iraq allowing IOM to identify the locations to which IDPs have chosen to settle. The location and population of these IDPs are recorded and further in-depth assessments are conducted to identify the multi-sectorial needs of the displaced.
Displacement data are presented on interactive maps below. Using the tabs you can check location based Displacements of 2014 starting from Governorates, Districts to location level. Plus, Accumulative development of displacement month by month until today.
