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  • Inter Sector Coordination Group
    Updated July 10, 2018 | Dataset date: Jul 3, 2018
    Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
    • XLSX
    • XLS
    • 1900+ Downloads
    • This dataset updates: Every two weeks
  • 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.
  • Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This dataset presents the result of the NPM Round 11 Baseline exercise, which collected information related to the Rohingya refugee population distribution and needs during the month of June 2018. The data collection for NPM baseline survey was conducted between 2 and 14 June 2018: it provides an update about the population distribution and movements.
    • PDF
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every month
  • NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of May 2018 is based on NPM Site Assessment 10 (as of 20 May) and NPM drone imagery (as of 23 May). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.
    • PDF
    • ZIP
    • 3800+ Downloads
    • This dataset updates: Every month
  • This geodatabase contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • These data set contain the Health facilities center for Rohingya refugees and host communities in Cox's Bazar
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every month
  • Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This assessment covers all locations hosting Rohingya population in Cox’s Bazar District in Bangladesh and present needs overview and population information as of 15 October 2017. All information and findings are included in the attached products including the raw dataset for further reference and analysis. Full report available on humanitarianresponse.info
  • The flood layer prepared by IOM and UNHCR, combined a mix method: High quality drone imagery from December 2017, was analysed to verify non-usable[1] locations and to determine the extent of their boundaries. A buffer of approximately 2-3 m was added to the outlines of these areas to accommodate the differing conditions during the rainy season. These outlines were then validated onsite and where needed, adjusted to reflect a more realistic flooding scenario, taking inputs from local residents as needed. The onsite verification revealed that in most instances, the assumptions were either accurate or slightly underestimated thus requiring only minor expansion of the boundaries in some cases, but no reductions were made. The main river flood levels, with an enormous and complicated catchment area, was calculated empirically, based upon field measurements taken of high water levels as indicated from people who have lived in the area for over 20 years. The river was surveyed, both in section and longitudinally, and the volume of water was back calculated based on the river arrangement where the high water level was known. For small tributaries, with well-defined and small catchment areas, rainfall intensity data (from International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May 2015) for Chittagong, with a 10 year return period was used to calculate the volume of water. The height of the flood waters for the smaller tributaries was based on the channel sections, the slope and volume of water calculated from the rainfall intensity. Landslide Layer prepared ADPC, UNHCR and IOM: The impact area is calculated based on the fact that slopes of more than 35 degrees have a risk of failure. The slope was calculated based on the DEM dataset at 0.5 meter spatial resolution, gathered by IOM drone imagery. The DEM was adjusted match a geographical point of reference, and trees and buildings removed. The additional area of susceptibility of landslide was extended by manually drawing polygons by UNHCR and ADPC, with the support of DEM topography and contour lines. These polygons are extensions of 40 degrees and above until reaching the base of the respective slope. Spatial analysis was carried out in order to provide the statistical results of the population at risk. Risk Management Criteria and assumptions made: • The crucial landslide trigger factor is pore pressure • The land slide failure would be sudden • When it does fail, it will have an aspect ratio of 1 to 1 • 35 degrees slope and above, a risk of failure • 40 degree slope and above has a 50% chance of failure • 45 degree slope and above 85% chance of failure
    • ZIP
    • 200+ Downloads
    • This dataset updates: Every six months
  • Zipped shapefile containing 1m contour lines for Kutupalong mega camp area including Thangkhali, Hakimpara, Jamtoli and Bagghona/Potibonia. These are created by NPM team of IOM using a UAV of December 2017.