• Time Period of the Dataset [?]: August 01, 2020-August 01, 2020 ... More
    Modified [?]: 26 October 2020
    Dataset Added on HDX [?]: 24 October 2020
    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
    300+ Downloads
    This dataset updates: Every six months
  • Time Period of the Dataset [?]: January 19, 2019-January 19, 2019 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 19 January 2019
    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
    700+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: October 07, 2019-October 07, 2019 ... More
    Modified [?]: 17 May 2020
    Dataset Added on HDX [?]: 7 October 2019
    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.
    300+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: July 02, 2018-July 31, 2018 ... More
    Modified [?]: 18 October 2019
    Dataset Added on HDX [?]: 7 February 2021
    An estimated 723,000 Rohingya refugees have fled violence in Myanmar’s Rakhine state since August 25, 2017. Most of the newly-arrived refugees rely on humanitarian assistance, having left with few possessions and exhausted their financial resources during the journey. The monsoon season began in May and continues into September, threatening the vast majority of refugees living in makeshift shelters and settlements highly vulnerable to floods and landsides. To understand the priority needs of the refugees, a Multi-Sector Needs Assessment (MSNA), comissioned by UNHCR and with technical support from REACH, was conducted at the household level in 31 refugee sites (3,171 households were surveyed). Translators Without Borders supported in questionnaire translation and enumerator training. This survey identified a number of areas where the basic needs of Rohingya refugees are being met. At the same time, this assessment has identified continuing service gaps in the Rohingya response. For example, the majority of households do not believe there is enough light at night to safely access latrines, and WASH facilities are generally perceived as dangerous areas for girls under age 18. In terms of access to protection services, only a small number of households report members making use of children and women friendly spaces. Despite widespread distribution coverage of key non-food items such as kitchen sets, demand for these items remains high, and refugees are spending the greatest portion of their limited financial resources on basic items including food, clothing and fuel. Findings suggest that there are uncertainties around actions to prepare for cyclones. The mahjis remain almost the sole focal point for communication and complaints with refugees, reflecting their continued prominent position within refugee communities. Finally, the median household debt is twice the median household income for the 30 days prior to data collection, with only two-fifths of households reporting any source of income at all.
    70+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 08, 2019-January 26, 2019 ... More
    Modified [?]: 18 October 2019
    Dataset Added on HDX [?]: 7 February 2021
    An estimated 738,000 Rohingya refugees have fled violence in Myanmar's Rakhine state since August 25, 2017. Most of the refugees rely on humanitarian assistance, having left with few possessions and exhausted their financial resources on the journey. The cyclone and monsoon seasons, stretching from May to October, further threatened the living conditions of the vast majority of refugees living who are in makeshift shelters and settlements highly vulnerable to floods and landsides. To understand the evolving priority needs of the refugees, and to understand change over time, this Multi-Sector Needs Assessment (MSNA), coordinated by the United Nations High Commissioner for Refugees (UNHCR) and with technical support from REACH, was conducted in 33 refugee sites using a household survey methodology (3,165 households were surveyed). It is a follow up assessment to MSNA I in July 2018. Results of this MSNA are generalizable to the camp level with 95% confidence level and 10% margin of error. Support for questionnaire translation and enumerator language training was provided by Translators Without Borders.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 27, 2020-August 12, 2020 ... More
    Modified [?]: 3 December 2020
    Dataset Added on HDX [?]: 7 February 2021
    Since August 2017, an estimated 745,000 Rohingya refugees have arrived in Cox’s Bazar, Bangladesh, increasing the total number of Rohingya refugees to more than 860,000. The presence of the refugee communities has raised concerns over local environmental degradation, falling wages and rising prices, exerting additional pressures on localities where public services and infrastructure were already lagging behind the national average. As the crisis moved beyond the initial emergency phase, comprehensive information on the needs and vulnerabilities of affected host communities is needed in order to inform the design and implementation of effective inter-sectoral programming. Against this background, a Joint Multi-Sector Needs Assessment (J-MSNA) was conducted across Rohingya refugee communities to support detailed humanitarian planning and enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. To date, a number of MSNAs have been implemented to support the response. The 2020 J-MSNA aims to provide an accurate snapshot of the situation with the specific objectives of (1) providing a comprehensive evidence base of household-level multi sectoral needs to inform the 2021 Joint Response Plan (JRP); (2) providing an analysis of how needs have changed in 2020 with an emphasis on the impact of the COVID-19 pandemic on multisectoral needs; and (3) providing the basis for a joint multi stakeholder analysis process.
    70+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 12, 2021-August 18, 2021 ... More
    Modified [?]: 22 September 2023
    Dataset Added on HDX [?]: 1 October 2023
    Following the events of August 2017, the Rohingya community were affected by displaced. As of August 2021, 900,000 refugees were residing in 34 camps in Ukhiya and Teknaf. At the same time, the living conditions in the District of Cox's Bazar are below the national average. The area is particularly vulnerable to the effects of climate change as well as natural and human-induced hazards, which hinders significant development progress. The needs have been compounded by the refugee influx. The massive increase in households and associated stresses on available resources has led to tensions among the two population groups. Against this background, a Joint Multi-Sector Needs Assessment (J-MSNA) was conducted to support detailed humanitarian planning, meeting the multi-sectoral needs of affected populations, and to enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. Building on past J-MSNAs and other assessments, the 2021 J-MSNA aimed to provide an accurate snapshot of the situation with the specific objectives of (1) providing a comprehensive evidence base of the diverse multi-sectoral needs among refugee populations and the host community to inform the 2022 Joint Response Plan; (2) providing an analysis of how refugee population and host community needs have changed in 2021; and (3) providing the basis for a joint multi-stakeholder analysis process. A total of 1,118 households were surveyed across the 11 unions of Teknaf and Ukhiya. Households were sampled from the Office of the the United Nations High Commissioner for Refugees' (UNHCR) host community database as well as UNHCR, World Food Programme (WFP) and International Organization for Migration (IOM) beneficiary databases using a stratified random sampling approach, with unions as the strata. Household survey data collection took place between 12 July and 18 August 2021. Each interview was conducted with an adult household representative responding on behalf of the household and its members
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 05, 2019-September 30, 2023 ... More
    Modified [?]: 30 January 2024
    Dataset Added on HDX [?]: 27 September 2017
    Consolidated 3W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
    9200+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 15 July 2020
    Dataset Added on HDX [?]: 26 October 2017
    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: smoothness surface oneway lanes layer highway name bridge source width This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    400+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Roads
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 12 July 2020
    Dataset Added on HDX [?]: 26 October 2017
    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: waterway covered layer natural water name source blockage width tunnel depth This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    200+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Waterways
  • Time Period of the Dataset [?]: July 28, 2020-August 13, 2020 ... More
    Modified [?]: 3 December 2020
    Dataset Added on HDX [?]: 7 February 2021
    Since August 2017, an estimated 745,000 Rohingya refugees have arrived in Cox’s Bazar, Bangladesh, increasing the total number of Rohingya refugees to more than 860,000.1 The presence of the refugee communities has raised concerns over local environmental degradation, falling wages and rising prices, exerting additional pressures on localities where public services and infrastructure were already lagging behind the national average.2 As the crisis moved beyond the initial emergency phase, comprehensive information on the needs and vulnerabilities of affected host communities is needed in order to inform the design and implementation of effective inter-sectoral programming. Against this background, a Joint Multi-Sector Needs Assessments (J-MSNA) was conducted in the host community to support detailed humanitarian planning and enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. To date, a number of MSNAs have been implemented to support the response. The 2020 J-MSNA aims to provide an accurate snapshot of the situation with the specific objectives of (1) providing a comprehensive evidence base of household-level multi-sectoral needs to inform the 2021 Joint Response Plan (JRP); (2) providing an analysis of how needs have changed in 2020 with an emphasis on the impact of the COVID-19 pandemic on multisectoral needs; and (3) providing the basis for a joint multi stakeholder analysis process.
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 12, 2021-August 26, 2021 ... More
    Modified [?]: 21 September 2023
    Dataset Added on HDX [?]: 1 October 2023
    Following the events of August 2017, the Rohingya community were affected by displaced. As of August 2021, 900,000 refugees were residing in 34 camps in Ukhiya and Teknaf. With the crisis moving into its fifth year, prospects remain uncertain. Comprehensive information on the needs and vulnerabilities of affected host communities is needed in order to inform the design and implementation of effective inter-sectoral programming. Against this background, a Joint Multi-Sector Needs Assessment (J-MSNA) was conducted to support detailed humanitarian planning, meeting the multi-sectoral needs of affected populations, and to enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. Building on past J-MSNAs and other assessments, the 2021 J-MSNA aimed to provide an accurate snapshot of the situation with the specific objectives of (1) providing a comprehensive evidence base of the diverse multi-sectoral needs among refugee populations and the host community to inform the 2022 Joint Response Plan; (2) providing an analysis of how refugee population and host community needs have changed in 2021; and (3) providing the basis for a joint multi-stakeholder analysis process. A total of 3,683 households were surveyed across the 34 refugee camps in Ukhiya and Teknaf Upazilas. Households were sampled from the Office of the United Nations High Commissioner for Refugees' (UNHCR) refugee registration database using a stratified random sampling approach, with camps as the strata. Household survey data collection took place between 12 July and 26 August 2021. Each interview was conducted with an adult household representative responding on behalf of the household and its members.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 12 July 2020
    Dataset Added on HDX [?]: 26 October 2017
    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 office building:levels name addr:full source addr:street building building:materials This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Buildings
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 2 July 2020
    Dataset Added on HDX [?]: 6 December 2019
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','station') Features may have these attributes: operator:type railway addr:city layer name addr:full source ele This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Railways
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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: operator:type aeroway emergency:helipad addr:city capacity:persons name addr:full source building emergency This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    30+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Airports
  • Time Period of the Dataset [?]: June 03, 2018-June 03, 2018 ... More
    Modified [?]: 4 June 2018
    Dataset Added on HDX [?]: 15 February 2018
    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.
    1500+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: November 01, 2017-November 01, 2017 ... More
    Modified [?]: 2 November 2017
    Dataset Added on HDX [?]: 2 November 2017
    These data set contain the Health and Nutrition center for Rohingya refugees and host communities in Cox's Bazar
    200+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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 population place name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    90+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Populated Places
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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: addr:city name addr:full source network operator amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    30+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Financial Services
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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 addr:city capacity:persons healthcare name addr:full source building healthcare:speciality amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    90+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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: operator:type addr:city port name addr:full source building amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    50+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Sea Ports
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 6 December 2019
    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: operator:type addr:city capacity:persons name addr:full source building amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    50+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
  • Time Period of the Dataset [?]: April 28, 2021-March 29, 2024 ... More
    Modified [?]: 29 November 2021
    Dataset Added on HDX [?]: 8 May 2019
    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)
    900+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: June 26, 2023-June 26, 2023 ... More
    Modified [?]: 12 July 2020
    Dataset Added on HDX [?]: 26 October 2017
    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: addr:city man_made addr:housenumber shop tourism opening_hours source name addr:full beds addr:street rooms amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    90+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: HOTOSM - Points of Interest
  • Time Period of the Dataset [?]: September 15, 2018-September 15, 2018 ... More
    Modified [?]: 31 January 2019
    Confirmed [?]: 7 March 2024
    Dataset Added on HDX [?]: 14 February 2018
    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.
    3600+ Downloads
    This dataset updates: Never