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  • OCHA FTS
    Updated August 21, 2018 | Dataset date: Aug 21, 2018
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 2100+ Downloads
    • This dataset updates: Every day
  • 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: 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: 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 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 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.
  • 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: 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.
  • 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: 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.
  • This shapefile contains the roads of Kutupalong-Balukhali Rohingya refugee sites including vehicle road, main path, footpath, military constructed Road and Planned roads.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated August 17, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2017
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's data portal.
    • JSON
    • 50+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated August 16, 2018 | Dataset date: Jan 1, 2001
    An excel table with basic census data at the upazila level from the 2001 census. Provided by the Bangladesh Bureau of Statistics (BBS).
    • XLS
    • 300+ Downloads
    • This dataset updates: Every year
  • Armed Conflict Location & Event Data Project (ACLED)
    Updated August 16, 2018 | Dataset date: Jan 1, 2013-Dec 31, 2018
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
    • CSV
    • 10+ Downloads
    • This dataset updates: Live
  • Insecurity Insight
    Updated August 16, 2018 | Dataset date: Jan 1, 2017-Jun 30, 2018
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    • XLSX
    • 400+ Downloads
    • This dataset updates: Every month
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Dec 5, 2016
    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.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Sep 28, 2014
    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.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Sep 28, 2014
    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.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Oct 25, 2005
    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.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Jan 1, 2000
    River data for Bangladesh.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Mar 8, 2017
    This spatial dataset provides location data for Health facilities data of Bangladesh. The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Jan 1, 2000
    The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
  • OCHA ROAP
    Updated August 15, 2018 | Dataset date: Jan 1, 2013
    Bangladesh Settlements and Major Towns.
  • This is "Flood vectors - MODIS-Aqua (20 August 2007)" of the Flood analysis for Bangladesh which began on 02 August 2007. It includes 30,233 satellite detected water bodies with a spatial extent of 72,972.76 square kilometers derived from the MODIS-Aqua i...
    • KMZ
    • ZIP
    • 70+ Downloads
    • This dataset updates: Never
  • 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.
    • PDF
    • ZIP
    • 500+ Downloads
    • This dataset updates: Every month