Inter Sector Coordination Group
Last updated on February 14, 2019
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  • 20+ Downloads
    Updated February 14, 2019 | Dataset date: Jan 21, 2019
    This dataset updates: As needed
    This shapefile (GIS) contains the existing and planned access road network of all Rohingya refugee camps including vehicle road, main path, footpath, military constructed Road and Planned roads.
  • 90+ Downloads
    Updated February 12, 2019 | Dataset date: Feb 6, 2019
    This dataset updates: As needed
    Since August 2017, an estimated 728,306 Rohingya refugees have arrived in Bangladesh’s Cox’s Bazar District from Myanmar, bringing the total number of Rohingya refugees residing in Bangladesh to approximately 895,631. The rapid and massive increase of the refugee population, concentrated in the south of the district in Ukhia and Teknaf, has had an enormous impact on Bangladeshi host communities’ food security, economic vulnerability, market access, labour opportunities and environment. At the same time, the crisis has generated some positive impacts in terms of new labour and livelihood opportunities provided by the presence of a rapidly expanding humanitarian sector, and increased demand for goods and services by Rohingya themselves. The majority of available data on the host community populations of Ukhia and Teknaf pre-dates the current influx of refugees. While a number of post-influx assessments have included host community populations, the information they provide has significant limitations in terms of being able to serve as the basis for strategic prioritisation and decision-making. The assessment aims to identify the severity and geographical spread of acute needs within the host community population. Its primary audience is ISCG, sectors, sector partners, and humanitarian donors. In this respect, the long-term development needs of the population that are more likely to be met by government or development agency intervention are not the core focus of this assessment. Similarly, this assessment is not designed to assess the impact of the August 2016 refugee influx on the host community (though may serve as a point of triangulation for actors wishing to do so).
  • 4500+ Downloads
    Updated February 8, 2019 | Dataset date: Jan 10, 2019
    This dataset updates: Every two weeks
    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.
  • 6500+ Downloads
    Updated January 15, 2019 | Dataset date: Jan 8, 2019
    This dataset updates: Every month
    The dataset provides the estimated Rohingya refugee population statistics by location (lat/lon), settlement type in Cox's Bazar district, Bangladesh. The dataset is updated regularly. The source is the RRRC-UNHCR Family Counting Exercise and IOM Needs and Population Monitoring (NPM) in Cox's Bazar
  • 100+ Downloads
    Updated November 19, 2018 | Dataset date: Sep 23, 2018
    This dataset updates: Every three months
    Health facility registry database at Rohingya refugees camps/Sites in Ukhia and Teknaf, Cox's Bazar
  • 3800+ Downloads
    Updated November 8, 2018 | Dataset date: Oct 4, 2018
    This dataset updates: As needed
    This geodatabase contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • 500+ Downloads
    Updated October 1, 2018 | Dataset date: Jun 7, 2018
    This dataset updates: Every three months
    This shapefile contains the roads of Kutupalong-Balukhali Rohingya refugee sites including vehicle road, main path, footpath, military constructed Road and Planned roads.
  • 400+ Downloads
    Updated September 28, 2018 | Dataset date: Oct 14, 2017
    This dataset updates: Every six months
    The data consists of points of site infrastructures of four existing makeshift settlements (KMS, BMS, LMS, Shamlapur) as of July 2017 with information on sectors, type of infrastructures and agencies.
  • 600+ Downloads
    Updated June 4, 2018 | Dataset date: Jun 3, 2018
    This dataset updates: Every month
    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.
  • 60+ Downloads
    Updated May 22, 2018 | Dataset date: May 6, 2018
    This dataset updates: Every three months
    This shapefile contains the bridges of Kutupalong-Balukhali Rohingya refugee sites including existing and Planned bridges.
  • 200+ Downloads
    Updated May 11, 2018 | Dataset date: Mar 11, 2018
    This dataset updates: Every month
    These data set contain the Health facilities center for Rohingya refugees and host communities in Cox's Bazar
  • 200+ Downloads
    Updated February 11, 2018 | Dataset date: Oct 26, 2017
    This dataset updates: Every month
    The Satellite image (Pléiades ©CNES 2017, Distribution Airbus DS) as of 26 October 2017 converted to .kmz for using through Google Earth on a computer, Earth for Android for easy viewing in the field, OSMNavigator for offline, Google Maps-style real-time GPS position overlay on top of the image, Garmin handheld GPS units etc.
  • 300+ Downloads
    Updated January 27, 2018 | Dataset date: Jan 20, 2018
    This dataset updates: Every six months
    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
  • 400+ Downloads
    Updated January 24, 2018 | Dataset date: Jan 24, 2018
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated December 18, 2017 | Dataset date: Nov 1, 2017
    This dataset updates: Every three months
    These data set contain the Health and Nutrition center for Rohingya refugees and host communities in Cox's Bazar
  • 300+ Downloads
    Updated December 4, 2017 | Dataset date: Dec 4, 2017
    This dataset updates: Every month
    This shapefile and kml file contains the streams of Kutupalong Balukhali Rohingya refugee sites. These stream flow through the Kutupalomg mega camp and surrounding.