Data Completeness
3/26 Core Data 20 Datasets 10 Organisations Show legend
What is Data Completeness?
Data Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Affected People
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  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 23, 2017
    This dataset updates: Live
    This map illustrates satellite-detected surface water extent in the central and southern parts of Bangladesh using a Sentinel-1 satellite image acquired on the 22 August 2017. In the analysed area; 608,747 ha of lands are likely affected. These lands are mainly cropland irrigated and rainfed areas and estimated to 475,000 ha. The population exposure analysis using WorldPop data shows that ~6,400,000 people are potentially affected by floods in the analysed zone: ~2,300,000 are located in Chittagong Division and ~2,170,000 in Dhaka Division. Please note that for visualization purposesanalyzed area is wider than the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 23, 2017
    This dataset updates: Live
    This map illustrates satellite-detected surface water extent in the central and northern parts of Bangladesh using a Sentinel-1 satellite image acquired on the 22 August 2017. The total analysed area is about 4,284,431 ha. In this analysed area; 1,099,369 ha (39%) of lands are likely affected. These lands are mainly cropland irrigated and rainfed areas and estimated to 1,039,350 ha. The population exposure analysis using WorldPop data shows that ~10,000,000 people are potentially affected by floods in the analysed zone: ~5,400,000 are located in Dhaka Division and ~2,750,000 in Rajshahi Division. Please note that for visualization purposes the analyzed area is wider than the extent of this map.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 15, 2017
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in the central part of Bangladesh using a Sentinel-1 satellite image acquired on the 12 August 2017 with a total surface of 4,280,650 ha. In this analyzed area; 1,644,983 ha (38%) of lands are likely affected. These lands are are mainly cropland irrigated and rainfed areas and estimated to 1,576,351 ha. The population exposure analysis using WorldPop data shows that ~17,000,000 people are potentially affected by floods in the analysed zone: ~8,400,000 are located in Dhaka Division and ~5,750,000 in Rajshahi Division. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: May 31, 2017
    This dataset updates: Never
    This map illustrates the satellite-detected water extent in the District of Chittagong, Chittagong Division, in the southeastern part of Bangladesh after the tropical cyclone Mora-17. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 30 May 2017 and detected several areas with standing waters. In the district of Chittagong ~4,790 ha are likely flooded and almost 12 km of the local roads seem to be affected. The population exposure analysis using WorldPop data shows that ~70,000 people are potentially affected by floods within map extent. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: May 31, 2017
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in the District of Cox's Bazar, Chittagong Division, located in the southeastern part of Bangladesh after the tropical cyclone Mora-17 using a Sentinel-1 satellite image acquired on the 30 May 2017. A total of 23,058 ha surface waters were observed. In many zones, the affected lands are mainly agricultural. The analysis of this image reveals also that about 234 km of roads mainly tertiary roads seem to be potentially affected. The population exposure analysis using WorldPop data shows that ~267,000 people are potentially affected by floods within map extent. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 2, 2017
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent around Maheshkhali, Chakaria and Cox'S Bazar Sadar Upazilas in the District of Cox's Bazar, Chittagong Division in the south eastern part of Bangladesh as detected by a TerraSAR-X image acquired on the 1st June 2017. A total of ~20,000 ha of lands seem to be affected with flood waters. Some of the affected lands are mainly agricultural fields. The analysis of this satellite image reveals also that about 100 km of roads with mainly tertiary roads seem to be also potentially affected. We can also estimate, within this map extent and using the WorldPop data, about 265,000 people living in flood affected zones. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 14, 2018
    This dataset updates: Live
    This map illustrates satellite-detected surface water extent in Teknaf Upazila, District of Cox's Bazar, Chittagong Division, located in the southeastern part of Bangladesh as detected using a Sentinel-1 satellite image acquired on the 13 June 2018 compared to a Sentinel-1 satelllite image acquired on 22 May 2018. The total analysed area is about 5,000 ha, and about 1,600 ha of surface waters could be observed on 13th of June 2018 whereas 1,050 ha were observed on 22 May 2018. The increase of observed surface waters in this area is about 50 %. Within the camps' extents, 52 ha of water were detected and the most affected seems to be camp 25. Please note that in many zones, the affected lands are mainly agricultural and open areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 19, 2018
    This dataset updates: Live
    This map illustrates satellite-detected surface water extent in the northeastern part of Bangladesh using a Sentinel-1 satellite image acquired on the 15 June 2018. In the analysed area; about 500,000 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 3,500,000 people are potentially affected by floods in this analysed zone: ~1,500,000 are located in Sylhet Division and ~1,000,000 in Sumanganj Division and about 35% of the population is leaving within or close to inundated areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 20, 2018
    This dataset updates: Live
    This map illustrates the evolution of satellite detected waters and the related wet conditions in the Cox's Bazar Myanmar nationals refugee camps located in Ukhia Upazilla, as deduced from the analysis of two Radarsat-2 Spotlight images with 0.5m resolution acquired on 16 June 2018 & 23 May 2018. The evolution of surface waters was classified into three classes of change: low, moderate and high. This analysis shows that some camps experienced a lower increase of wet conditions/surface waters, as camp 1W and camp 2E. Whereas some have moderately changed, as camp 2W, camp 6 and camp 14, others have greatly changed, as camp 17, camp 8W and camp 20 and its extension. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • Updated May 15, 2019 | Dataset date: Jun 25, 2018
    This dataset updates: Live
    This map illustrates satellite-detected surface water extent in the northeastern parts of Bangladesh (Sylhet distric) & India (Assam, Tipura and Mizoram states) using a Sentinel-1 satellite image acquired on the 15 June 2018. The analysis shows an increase of surface waters in Sylhet district (Bangladesh) and Assam state (India). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 5700+ Downloads
    Updated May 9, 2019 | Dataset date: Feb 5, 2019
    This dataset updates: Every month
    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.
  • 50+ Downloads
    Updated May 8, 2019 | Dataset date: May 7, 2019
    This dataset updates: As needed
    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
  • 30+ Downloads
    Updated May 2, 2019 | Dataset date: Mar 26, 2019-Apr 18, 2019
    This dataset updates: Never
    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)
  • 400+ Downloads
    Updated April 30, 2019 | Dataset date: Feb 15, 2019
    This dataset updates: Every year
    Bangladesh administrative level 0 (nation), 1 (division), 2 (district), and 3 (upazila) population statistics 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.)
  • 400+ Downloads
    Updated April 29, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2017
    This dataset updates: Every year
    This dataset contains agency- and publicly-reported data on sexual violence and abuse against aid workers between January 2015 and December 2017.
  • 100+ Downloads
    Updated April 29, 2019 | Dataset date: Jan 1, 2017-Feb 28, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker, educator or health worker was killed, kidnapped, or arrested. Categorized by country.
  • 2600+ Downloads
    Updated April 25, 2019 | Dataset date: Jan 23, 2019
    This dataset updates: Every three months
    NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of January 2019 is based on NPM Baseline Assessment 14 (as of 19 December 2018) 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.
  • 1300+ Downloads
    Updated April 25, 2019 | Dataset date: May 1, 2018-Dec 19, 2018
    This dataset updates: Every three months
    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.
  • 2400+ Downloads
    Updated April 25, 2019 | Dataset date: Apr 17, 2018
    This dataset updates: Every three months
    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.
  • 700+ Downloads
    Updated April 25, 2019 | Dataset date: Dec 9, 2018-Feb 13, 2019
    This dataset updates: Every three months
    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 14 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of December 2018 and January-February 2019. The data collection for NPM baseline survey was conducted between 9 to 19 December 2018: it provides an update about the population distribution and movements. The data collection for NPM Site Assessment survey was conducted between 14 January to 13 February 2019: in addition to an update about the population figures, this includes a multi-sectoral needs assessment. Rohingya refugee population distribution by para in Teknaf upazila. Please click here.
  • 40+ Downloads
    Updated April 21, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2019
    This dataset updates: Live
    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.
  • 4600+ Downloads
    Updated April 17, 2019 | Dataset date: Mar 10, 2019
    This dataset updates: As needed
    This spatial database contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • 60+ Downloads
    Updated April 11, 2019 | Dataset date: Nov 6, 2018-Nov 18, 2018
    This dataset updates: As needed
    Barriers and Facilitators Assessment Report in Jadimura Camp, Teknaf (Bangladesh), January 2019
  • 20+ Downloads
    Updated April 10, 2019 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Bangladesh. Source: http://ngoaidmap.org/location/gn_1210997
  • 200+ Downloads
    Updated April 9, 2019 | Dataset date: Sep 1, 2016-Apr 1, 2018
    This dataset updates: Every six months
    The Future of Business survey is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises (SMEs). The Future of Business survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. To date, more than 90 million SMEs have created a Facebook Page, and more than 700,000 of these Facebook Page owners have taken the survey. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest. The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download. This dataset contains survey response data aggregated by country and wave. Future of Business Survey website: futureofbusinesssurvey.org