Rohingya Refugee Crisis

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

Polygons of National boundaries for Myanmar (Admin 0), based on the latest MIMU Pcode version 9.2. Place Names from General Administration Department (GAD). Transliteration by MIMU. Coordinates by MIMU. Boundaries by MIMU. This dataset was mainly digitized at 1:250’000 scale.

Polygons of Myanmar State and Region boundaries (Admin1), based on the latest MIMU Pcode version 9.2. Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.

Polygons of Myanmar State, Region and Union territory boundaries (Admin1) with Sub-regions, based on the latest MIMU Pcode version 9.2 and information provided by field offices and government departments. Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.

Polygons of Myanmar District boundaries (Admin2), based on the latest MIMU Pcode version 9.2. Compared to version 9.1 (Sept 2019), this version includes Self Administered Zone (SAZ) and Self Administered Division (SAD). Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.

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.

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 in Cox's Bazar

This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: addr:street building:levels building:materials source name addr:full addr:housenumber office building addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: surface oneway bridge source smoothness name highway lanes width layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: source railway name addr:full operator:type addr:city layer ele This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: beds addr:street source amenity tourism rooms shop name addr:full addr:housenumber addr:city opening_hours man_made This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: network source operator amenity name addr:full addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: source is_in population place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: tunnel blockage source waterway depth name water natural width layer covered This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: operator:type source amenity name capacity:persons addr:full building healthcare addr:city healthcare:speciality This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: source amenity name capacity:persons addr:full building operator:type addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: port source amenity name addr:full building operator:type addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: source emergency aeroway name capacity:persons addr:full building operator:type addr:city emergency:helipad This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: addr:city addr:housenumber name office building building:materials addr:full building:levels addr:street source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: bridge layer surface name width smoothness highway oneway lanes source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: ele layer addr:city name railway addr:full source operator:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: amenity addr:city operator name network addr:full source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name place population source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: amenity addr:city healthcare:speciality healthcare name building addr:full capacity:persons source operator:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: amenity addr:city name building addr:full capacity:persons source operator:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: amenity addr:city man_made tourism rooms addr:housenumber name opening_hours addr:full shop addr:street source beds This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: amenity addr:city name building addr:full source operator:type port This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: addr:city aeroway emergency:helipad name building addr:full emergency capacity:persons source operator:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: blockage layer tunnel waterway water name width depth natural source covered This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Bangladesh administrative level 0 (nation), 1 (division), 2 (district), and 3 (upazila) population statistics REFERENCE YEAR: 2018 These population statistics tables are suitable for database or GIS linkage with the administrative level 0-2 Bangladesh administrative level 0-4 boundary polygons, lines, points, tabular data, and live services shapefiles. (See caveats.)

Ground Truth Solutions conducted its fourth round of quantitative surveys with Rohingya refugee aid recipients and members of the host community in Cox’s Bazar in November 2019. The objective is to use the views of affected people to inform the humanitarian response and provide a metric for monitoring progress towards the strategic objectives outlined in the Joint Response Plan (JRP).

Ground Truth Solutions conducted its fourth round of quantitative surveys with Rohingya refugee aid recipients and members of the host community in Cox’s Bazar in November 2019. The objective is to use the views of affected people to inform the humanitarian response and provide a metric for monitoring progress towards the strategic objectives outlined in the Joint Response Plan (JRP).

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

This is the full Administrative dataset for Bangladesh. It includes administrative level 0 (nation), 1 (division), 2 (district), 3 (upazila), and 4 (union) polygons and lines. All units have two PCODES. For each administrative level 'X', the 'admXcode_old' is the original 'GEOCODE11' PCODE and the one most commonly used in country. The GEOCODE15 incorporates Mymensingh Division which was created in 2015. REFERENCE YEAR: 2015 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative levels 0-3 layers are suitable for database or GIS linkage to the Bangladesh administrative level 0-3 population statistics population statistics tables. (See caveats.)

The dataset provides the information about existing common facility infrastructure points (except WASH) by Sector/Sub-sector, facility type, location (lat/lon) with an unique ID at Rohingya refugee camps in Cox's Bazar district, Bangladesh. The dataset is sourced and verified by sector/WG, IOM-NPM, UNHCR, ISCG in Cox's Bazar

In early 2019, UNICEF and the Cox's Bazar WASH sector identified a need to comprehensively map key WASH infrastructure using physical unique identifier (UUID) tags, in order to produce a database containing information about each piece of infrastructure across the camps. The objectives of this effort were to facilitate accurate, consistent spatial identification of unique infrastructure by all interested actors, to provide a baseline ‘snapshot’ of WASH infrastructure functionality at the time of coding, and to establish a common dataset to be used by all partners. The core infrastructure being covered by this exercise includes tubewells, latrines, and bathing facilities.

Based on requests from ECHO partners, REACH has worked to compile and map the location of cyclone shelters in Ukhia and Teknaf in the two Upazilas most affected by the Rohingya refugee influx of August 2017, in order to orient and inform humanitarian actors working in these locations. This database includes three lists of shelters: First, a list of shelters as designated on lists provided by the Cox's Bazar District Relief and Rehabilitation Officer (DRRO). Second, a list of cyclone shelters designated by the DRRO with additional structures reported to be shelters according to lists provided by the Cyclone Preparedness Programme (CPP), the District Disaster Managemen Plan (DDMP), Upazila Nirbahi Officers (UNOs), UNDP, IOM, UNHCR, WFP, the Local Government Engineering Department (LGED), and the Comprehensive Disaster Management Programme (CDMP). The third list mirrors the second list but also includes all of alternative names used by different agencies.

GPS coordinates of villages/paras by ward, Union, and Upazila in Ukhia and Teknaf Upazilas, Cox's Bazar District. Mapping visualizations can be found at: https://www.reachresourcecentre.info/country/bangladesh/cycle/1012/#cycle-1012

This shapefile represents digitization work carried out by UNOSAT and REACH from March-May 2019. Work is ongoing and this shapefile is reflective of digitization efforts up to 7 May 2019. As future iterations and improvements to the footprints are made, additional versions will be released. The majority of digitization work was carried out using Januray 2019 NPM-IOM drone imagery. The specific images used are provided in the attribute table. The original classification scheme developed by UNOSAT was comprised of two structure classes: "Structure" and "Bridge." An area based classification was then performed in which all polygons < 5 m2 were reclassified as "< 5m2 - Likely Latrine, Tubewell, or Shower." All polygons > 5 m2 also retained the UNOSATs original classification. Additionally, attribute fields containing camp name information, and the image source information were added. Limitations: The work has not been 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: UNOSAT- REACH, 2019

In successive waves over four decades, Rohingya refugees have been fleeing to Bangladesh from Rakhine State, Myanmar, where they have suffered systematic, ongoing persecution. Since August 2017, an estimated 745,000 Rohingya refugees have fled into Cox’s Bazar, Bangladesh, increasing the total number of Rohingya refugees to more than 900,000. Most of the newly-arrived refugees have settled in hilly, formerly-forested areas that are vulnerable to landslides and flash-flooding in monsoon season, and rely heavily on humanitarian assistance to cover their basic needs. As the crisis moves beyond the initial emergency phase, comprehensive information on the needs and vulnerabilities of affected populations is needed in order to inform the design and implementation of effective inter-sectoral programming. To this aim, a comprehensive Joint Multi-Sector Needs Assessment (J-MSNA) was conducted among the host community to support humanitarian planning and enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. The J-MSNA was conducted in support of the 2019 Rohingya Crisis MSNA Strategy, with the specific objectives of (1) Providing a comprehensive evidence base of household-level multi-sectoral needs for the 2020 Joint Response Plan; and (2) Providing the basis for a joint multi-stakeholder analysis process. The full terms of reference for the assessment can be found here: https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/2019/07/Rohingya-Crisis-Bangladesh-Joint-MSNA----In-Depth-Assessment-Concept-Note-%28July-2019%29.pdf. The J-MSNA was implemented and coordinated through the MSNA Technical Working Group of the Information Management and Assessment Working Group (IMAWG), led by the Inter-Sector Coordination Group and comprised of the following members: UNHCR, IOM Needs and Population Monitoring (NPM), ACAPS, WFP VAM, Translators without Borders, and REACH.

Data collected in Bangladesh between June-July, 2018. Their analysis contributed to the Xchange Foundation's “The Rohingya Amongst Us”: Bangladeshi Perspectives on the Rohingya Crisis Survey. The survey sample consisted of 1,697 Bangladeshi adults living in Teknaf (56%) and Ukhia (44%), the two southernmost subdistricts of Cox’s Bazar, and home to the majority of the Rohingya population.  The survey was conducted in Bengali with the use of a questionnaire distributed through an online data collection application across more than 71 (up to 97) villages. Respondents were provided with anonymity and verbal consent was ensured before proceeding with each survey. The results of the survey are generalisable to the total adult Bangladeshi population residing in Ukhia and Teknaf upazilas (on a 95% confidence level, the margin of sampling error was 2.37). To read the full report go to: http://xchange.org/bangladeshi-perspectives-on-the-rohingya-crisis-survey/

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

On behalf of the Global WASH Cluster, with funding provided by USAID and ECHO (September-December 2017) and UNICEF (January 2018 onwards), REACH initiated a rapid infrastructure mapping exercise in Rohingya refugee settlements in Cox's Bazar District. This data collection exercise is now concluded, with Round 9 the final round.

This dataset comprises of 644 facilities that were classified as not exposed to a flood or landslide hazard within the 21 Kutupalong Refugee Camps to assess which facilities would be optimal for further shelter upgrades and reinforcement. An index was created for prioritization and of these 644 sites, 224 were identified as having optimal indicators for further site visits. Corresponding maps for these 224 sites can be found on the REACH Resource Centre or ReliefWeb. It should be noted that ALL 644 facilities not exposed to a flood or landslide hazard should be explored as viable options for awareness raising to the local Camp/Majhee populations. For further information regarding the indicators used for the analysis please see the caveats section below.

In early November, WHO initiated a joint WHO/GoB/UNFPA/UNHCR/IOM/UNICE data collection exercise of all health facilities within and near the Rohingya refugee sites, with the aim of mapping facility locations. The first version was published on the 18th November with data collected between the 8th and 12th of November. This second version is an update to the previous version and contains information collected until December 12th, 2017. However, due to the highly dynamic nature of the situation, new health facilities are still being constructed and others removed. It is therefore important to note that this may not be comprehensive or truly representative of infrastructure at the time of publication. Also note that the spatial accuracy of this dataset is at best just under 5m, which can influence the analysis of infrastructure coverage.

Inter-agency assessment of Health facilities identified within camp areas within – and close to - the Rohingya refugee sites in Ukhia and Teknaf Upazilas.

Satellite and UAV imagery derived roads and footpaths of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in October 2017.

This spatial dataset provides line data of Bangladesh Roads. The original source of the data is Local Government Engineering Department (LGED). Attributes includes Condition, length, crest width, LGED code, type (Union, Village Road A, B, Upazila Road, katcha, pucca and etc) and Road name. Dataset/Metadata updated by WFP, Map Action and OCHA.

Satellite imagery derived shelter footprints of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in February 2018.

This shapefile and kml file contains the streams of Kutupalong Balukhali Rohingya refugee sites. These stream flow through the Kutupalomg mega camp and surrounding.

Location of Sea Ports in Myanmar. Attributes include Port Name, Type (sea port and deed sea port) and source

Recognizing an information gap within existing road network datasets in the Southern Teknaf camps of Coxs Bazar District (Camps 24-27 and Nayapara Registered Camp), REACH dispached field teams to the area for a roads and paths mapping exercise from November 14-15, 2018. Areas within and on the edges of the camps were divided into grid cells, through which REACH field teams systematically traversed all paths while carrying GPS tracking devices. This dataset was then merged with the existing OpenStreetMap (OSM) roads and paths dataset for the area to provide a comprehensive map of roads and footpaths in and around the camps for mapping and spatial analysis purposes. When present in this dataset, OpenStreetMap attributes and identifiers have been preserved. This exercise was carried out with the support of European Civil Protection and Humanitarian Aid Operations (ECHO)

This shapefile contains the roads of Kutupalong-Balukhali Rohingya refugee sites including vehicle road, main path, footpath, military constructed Road and Planned roads.

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.

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.

This shapefile contains the bridges of Kutupalong-Balukhali Rohingya refugee sites including existing and Planned bridges.

On January 2018, partners from the Cox Bazar Health Sector conducted a mapping exercise of the Health Facilities in the refugee camp areas.

Includes a binary GeoTIFF where 0 values are non-flooded and 1 values are flooded. Included a metadata file that describes a summary and methods for the data.

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.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

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.

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. The two datasets present the result of the NPM Round 16 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs from female key informants and majhee key informants during the months of 21st August – 10th October. Rohingya refugee population distribution by para in Teknaf upazila. Please click here

Topline figures for the Rohingya Displacement event page

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of August 2018 is based on NPM Site Assessment 12 (as of 4 September) and NPM most updated drone imagery (as of 11 September). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

On behalf of the Global WASH Cluster, with funding provided by UNICEF, REACH conducted a mapping exercise of Education Facilities in Rohingya refugee settlements in Cox's Bazar District

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 15 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs during the months of 1st May – 24th June. Rohingya refugee population distribution by para in Teknaf upazila. Please click here

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 15 Site Assessment exercise, which collected information from female key informant form 1956 locations related to the Rohingya refugee population distribution and multisectoral needs during the months of 1st May – 24th June. NPM Site Assessment Round 15 Dataset Rohingya refugee population distribution by para in Teknaf upazila. Please click here.

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.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of April 2018 is based on NPM Baseline 10 (as of 17 April) and NPM drone imagery (as of 24 April). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

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.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of June 2018 is based on NPM Baseline Assessment 11 (as of 14 June) and NPM most updated drone imagery (as of 21 June). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Population for State and Region, District, Township, Village Tract, Ward

Bangladesh Settlements and Major Towns.

The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.

River data for Bangladesh.

Bangladesh: Elevation The elevation of Bangladesh depicted using polygons of equal elevation. The shapefile was downloaded from the following SWERA (Solar and Wind Energy Resource Assessment) website. The data was then reprojected into GCS_WGS_1984 by GIST.

This spatial dataset provides line data of Bangladesh Railroads. The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.

This spatial dataset provides point data of Helipads and Airports by Upazilla (4th Admin level). The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.

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 exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of June and July 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. The data collection for NPM Site Assessment survey was conducted between 1 and 22 July 2018: in addition to an update about the population figures, this includeds a multi-sectoral needs assessment. The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 11 are available at the links below: Please click here to access the data by camp as of May 2018. Please click here to access the data by camp as of July 2018. Rohingya refugee population distribution by para in Teknaf upazila. - Please click here.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of July 2018 is based on NPM Site Assessment 11 (as of 22 July) and NPM most updated drone imagery (as of 2 August). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Health facility registry database at Rohingya refugees camps/Sites in Ukhia and Teknaf, Cox's Bazar

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 presents data from NPM Round 9 baseline survey and site assessment: the baseline was conducted between 5 and 20 February 2018; the site assessment between 7 and 25 March. Related majhee blooks shapefiles are available on HDX. For further information, the full report and related information package are available on humanitarianresponse.info.

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 presents data from NPM Round 8 baseline survey and site assessment: the baseline was conducted between 24 December 2017 and 4 January 2018; the site assessment between 15 and 30 January 2018. The complete data collection was conducted between 24 December and 30 January 2018. For further information, the full report and related information package are available on humanitarianresponse.info

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 presents NPM Round 7 site assessment baseline dataset, which covers all locations hosting Rohingya populations in Cox's Bazar District in Bangladesh and present population needs overview as of 12 December 2017. The data collection assessment of NPM Round 7 was conducted between 11 November to 12 December 2017. For further information full report available on humanitarianresponse.info

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. These datasets present the result of the NPM Round 10 Baseline and Site Assessment exercises, which collected information related to the Rohingya population distribution and needs during the months of April and May 2018. The data collection for NPM baseline survey was conducted between 1 and 17 April 2018: this provides an update about the population distribution and movements; The data collection for NPM Site Assessment survey was conducted between 1 and 20 May 2018: in addition to an update about the population figures, this includeds a multi-sectoral needs assessment. The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 10 are available at the links below: Please click here to access the data by camp as of May 2018. Please click here to access the data by camp as of April 2018. Rohingya refugee population distribution by para in Teknaf upazila. Data collected during NPM Site Assessment 10 between 1 and 20 May 2018. Please click here.

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 12 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of August, September and October 2018. The data collection for NPM baseline survey was conducted between 9 August and 4 September 2018: it provides an update about the population distribution and movements. The data collection for NPM Site Assessment survey was conducted between 23 September and 10 October 2018: in addition to an update about the population figures, this includes a multi-sectoral needs assessment. The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 12 are available at the links below: Please click here to access the data by camp as of September/October 2018. Please click here to access the data by camp as of August 2018. Rohingya refugee population distribution by para in Teknaf upazila. - Please click here.

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 13 Site Assessment exercise, which was conducted between 4 November and 20 November 2018. It provides an update on population distribution, movements and multi-sectoral needs of Rohingya refugees.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of September - October 2018 is based on NPM Site Assessment 12 (as of 10 October) and NPM most updated drone imagery (as of 26 September). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. SW Map package: for mobile use, this enables users to visualize the site maps and boundaries on their own mobile. Together with the relevant files, users can also find a manual showing step by step how to copy files from their own computer to SW Map running on another portable device. KMZ file: for desktop use, this enables users to visualize the site maps and boundaries on Google Earth. By adding or removing layers, it is possible to visualize each location assessed by NPM Baseline 10. These files are available on HDX. Historical UAV imagery of Rohingya settlements in Cox Bazar in GIS, KML Google Earth, Mbtiles (SW Maps), format. Updates of imagery will be added on top of the list. NPM has also produced individual packages by camps: - Please click [here] {https://data.humdata.org/dataset/iom-bangladesh-npm-drone-imagery-and-gis-package-by-camp-sept-oct-2018} to access the data by camp as of September 2018. - Please click here to access the data by camp as of August 2018. - Please click here to access the data by camp as of July 2018. - Please click here to access the data by camp as of June 2018. - Please click here to access the data by camp as of May 2018. - Please click here to access the data by camp as of April 2018. All majhee blocks shapefiles are also available at the following link: Please click here to access the most current majhee block shapefiles, as well as all historical versions.

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).

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.

Barriers and Facilitators Assessment Report in Jadimura Camp, Teknaf (Bangladesh), January 2019

Data collected in Bangladesh between March-April, 2019. Their analysis contributed to the Xchange Foundation's “We do not believe Myanmar!”: The Rohingya Survey 2019 (http://xchange.org/reports/TheRohingyaSurvey2019.html)

Transportation network in Myanmar including roads and railways.

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.

Towns are urban areas divided into wards. It is distinct from villages and village tracts. This version is based on the P-code version 8.1, with 36 additional towns updated with GAD notifications as of December 2018. . Place Names: General Administration Department (GAD) and field sources. Place names on this product are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned. Transliteration by MIMU.