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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  • No dataset found matching the criteria
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Affected People
3 Datasets
Coordination & Context
4 Datasets
Food Security & Nutrition
1 Datasets
Geography & Infrastructure
7 Datasets
Health & Education
4 Datasets
Population & Socio-economic Indicators
1 Datasets
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  • 400+ Downloads
    Updated May 21, 2019 | Dataset date: Mar 31, 2019
    This dataset updates: Every two weeks
    Topline figures for the Rohingya Displacement event page
  • 40+ Downloads
    Updated May 21, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2017
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 4000+ Downloads
    Updated May 20, 2019 | Dataset date: May 20, 2019
    This dataset updates: Every day
    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.
  • 400+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 400+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 200+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 300+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 3600+ Downloads
    Updated May 19, 2019 | Dataset date: Jan 1, 1992-Apr 15, 2019
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 400+ Downloads
    Updated May 19, 2019 | Dataset date: Jan 15, 2004-Mar 15, 2019
    This dataset updates: Every week
    This dataset contains Food Prices data for Bangladesh. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 200+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 300+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 300+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 200+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    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.
  • 500+ Downloads
    Updated May 17, 2019 | Dataset date: Jan 1, 2018-Mar 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018. For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 7200+ Downloads
    Updated May 16, 2019 | Dataset date: Jan 8, 2019
    This dataset updates: Every month
    The dataset provides the estimated Rohingya refugee population statistics by location (lat/lon), settlement type in Cox's Bazar district, Bangladesh. The dataset is updated regularly. The source is the RRRC-UNHCR Family Counting Exercise and IOM Needs and Population Monitoring (NPM) in Cox's Bazar
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 28, 2016
    This dataset updates: Never
    This map illustrates satellite-detected water extent and evolution in the eastern part of Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of 75% between the two dates within the entire analyzed zone. Heavy rains at the onset of the Monsoon season have caused flooding. 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: Jul 29, 2016
    This dataset updates: Never
    Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 27, 2016
    This dataset updates: Never
    This map illustrates satellite-detected water extent and evolution in Dhaka and Rajshahi divisions of the Central Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of ~75% between the two dates. Heavy rains at the onset of the Monsoon season have caused flooding. 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 6, 2017
    This dataset updates: Never
    This map illustrates satellite-detected potentially affected shelters in Leda refugee camp in Nhilla Union, Cox s Bazar District, and Chittagong Division of Bangladesh. About 18,350 people are registered in this camp. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired 05 June 2017 and could identify 215 possible damaged shelter structures within the extent of the camp. Kindly note that the number of damaged shelters could have been underestimated as some groups of shelter structures might be identified as one structure. 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 6, 2017
    This dataset updates: Never
    This map illustrates satellite-detected potentially affected shelters in Nayapara refugee camp in Teknaf Union, Cox s Bazar District, and Chittagong Division of Bangladesh. About 12,500 people are registred in this camp. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired the 05th of June 2017 and could identify 560 possible damaged shelter structures within the extent of the camp. Kindly note that the number of damaged shelters could have been underestimated as some groups of shelter structures might be identified as one structure.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 50+ Downloads
    Updated May 15, 2019 | Dataset date: Jun 7, 2017
    This dataset updates: Never
    This map illustrates satellite-detected possible damaged shelter structures in Kutupalong Refugee Camp, Palong Khali Union and Cox Bazar District, Chittagong Division, Bangladesh. The UNITAR-UNOSAT analysis used Pleiades satellite imagery acquired the 6th and the 7th June 2017 as post-images. The UNITAR-UNOSAT analysis identified 1,105 possible damaged shelter structures within the extent of the camp. Kindly note that the number of possible shelter damaged structures could have been under or overestimated in some areas due to the cloud cover and the delimitation of the camp extent. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR – UNOSAT.
  • This map illustrates satellite-detected surface water extent in the northern part of Bangladesh using a TerraSAR-X satellite image acquired on the 16 August 2017. In the analysed area; 221,915 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 2,143,586 people are potentially affected by floods in this analysed zone: ~1,800,000 are located in Rangpur Division and ~280,000 in Dhaka 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: 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.