This dataset includes the names, types, statuses, and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.

Geographic point layer representing all the people of concern's known locations in the world ( Refugees, Internally displaced, Stateless persons and other of concern). The data is displayed by population type and location type (typology adapted from the SPHERE handbook standard).

This spatial database contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.

This data sets contains a shapefile with the building footprint of Wad Sherifey Refugee Settlement, Kassala, Sudan. Wad Sherifey is a refugee camp located in the East of Sudan along the Mareb River. During the past year refugees fleeing from conflict have arrived and settled in the area, partly within flood prone areas of the Mareb River. Already vulnerable and displaced, now additionally facing the risk of floods. Actors like the Red Cross Red Crescent Climate Centre and MFS manage projects in this region, and OSM data sets like this support the expansion of anticipatory action (acting before a disaster happens www.anticipation-hub.org/) to those most affected by conflict and climate. The area was selected for OSM mapping through a methodology to identify & prioritize high-risk and unmapped areas within a country for OSM mapping (StoryMap: https://arcg.is/1eqOXj) The data was collected through an HOT OSM task (https://tasks.hotosm.org/projects/11685), which was created in collaboration with MFS and led by the Netherland Red Cross’ Missing Maps Team. The task was completed (mapped & validated) in April 2022. The satellite imagery used for the mapping was from late August 2021 and provided by MFS.

Summary: This file represents digitization work carried out by UNOSAT and REACH using IOM-NPM drone imagery from April 2021. All fields should be indicative, the 'Type' field indicates whether the structure was thought to be fully build at the time imagery was taken. Limitations: Digitised areas show covered spaces within the camps. These may be latrines, tubewells, bathing stations, shelters or larger structures (many of which are multiple shelter joined under one continuous roof). This is also the case in previous 'shelter' footprints. Bridges are not included in this dataset, but many can be found in the previous 2019 footprint. Imagery is known to have horizontal offset of up to a few meters in some areas but is generally accurate. Work is ongoing by REACH to manually update the footprints to ensure that they accurately represent features in the field. As future iterations and improvements to the footprints are made, additional versions will be released. The work has not yet been fully ground truthed and is based on expert interpretation of UAV imagery. In addition to relying on imagery interpretation, the footprints are bound by the limitations present in the UAV images that were utilized. Credits: Processing UNOSAT / REACH (2021) Drone Imagery Inputs, IOM-NPM (April 2021)

Ce jeu de données représente les sites fournis par OIM, UNHCR et les ONG qui font des évaluations multi-sectorielles sur le terrain Compilation des données de 2016 à aujourd'hui

This shapefile shows the Refugee camps in Sudan

The dataset contains roads accessible by vehicles and trucks across the refugee camps in Cox’s Bazar Bangladesh, smaller routes and footpaths are not included, satellite imageries and ground verification was used in order to collect and consolidate this dataset. Source: Logistics Sector Contributor: WFP Date: August 2020 Expected Update Frequency: 2 times per year + as needed

This file contains the location of refugee camps in Ethiopia.

The Site Management sector, with the support of SM partners (IOM, UNHCR, ADRA and Solidarités International) conducted a mapping exercise during the months of April and May 2018 in the areas of Teknaf upazila currently hosting Rohingya refugees. The purpose of the exercise was to identify and map the boundaries of local paras, namely group of houses. The mapping exercise aimed to better define the areas of responsibility of the newly established Para Development Commitees, and to support RRRC’s CiCs in the process of defining the new camp boundaries in Teknaf. IOM Needs and Population Monitoring (NPM) provided technical support to better identify the para names and demarcation. The para mapping exercise was conducted in two rounds. The first exercise took place from 1 to 3 of April 2018 in the areas of Alikhali, Leda, Nayapara, Muchoni, Jadimura and Domdumia. A second exercise took place on 21 and 22 April 2018 covering the areas of Hakimpara, Jamtoli, Putibonia, Shamlapur and Unchiprang. This dataset presents the figures of the Rohingya refugee population in Teknaf, by para. These data were collected during NPM's regular data collection exercises (Baseline and Site Assessment), which usually capture information on a majhee block level. The two systems are currently coexisting and overlapping. In order to better visualize how the two systems interact, NPM produced a set of maps available at this link.

The majhee block system represents an important aspect of communities within the Rohingya refugees settled in collective or camp-like settings in Cox's Bazar district. A majhee is a community leader belonging to the Rohingya refugee population, while a block is the area for which he is responsible. The NPM majhee blocks mapping exercise was first conducted during NPM Baseline 9, between 5 and 20 February 2018. As part of the majhee interview process (key informants), enumerators walked the perimeter of each majhee block with guidance from the KI. As they walked, the field team traced their path, marking up the boundary on the tablet or paper map. Upon returning to NPM office, details of these boundaries were finalized on the paper maps. The paper maps were then received by the NPM digitizing team. This team carefully digitized the Mahjee zone perimeters in GIS, using high-resolution NPM UAV imagery as an underlying reference. Boundaries were assigned the NPM Block_ID attribute, which represents a unique identifier for each Site Assessment Location. In this manner, boundaries can be uniquely linked back to a mahjee. The majhee blocks mapping exercise is now embedded in NPM regular assessment activities (baseline and site assessment), hence regularly updated with a frequency of approximately three weeks. The majhee block system is not an official form of governance. The scope of this exercise is purely descriptive and not prescriptive. Names and boundaries adopted in this exercise do not imply official endorsement or acceptance by IOM.

This data set contains the location of Camp in Charge (CiC) office in the Rohingya Refugee camps situated in Ukhia and Teknaf Upazila, Cox's Bazar.

Geodatabase with GIS data and statistics data for Chad including boundaries, transportation, hydrology, health facilities, population data...