Key Figures
Data Completeness
6/27 Core Data 31 Datasets 11 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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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
6 Datasets
Internally-Displaced Persons
Returnees
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
5 Datasets
3w - Who is doing what where
Inter Sector Coordination Group
Cox's Bazar Education Sector
Cox's Bazar Education Sector
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
2 Datasets
Food security
WFP - World Food Programme
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Health & Education
7 Datasets
Population & Socio-economy
3 Datasets
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  • 5400+ Downloads
    Updated January 24, 2020 | Dataset date: Jan 24, 2020
    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.
  • 600+ Downloads
    Updated January 20, 2020 | Dataset date: Jun 19, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh : (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 200+ Downloads
    Updated January 19, 2020 | Dataset date: Jan 1, 1999-Dec 31, 2018
    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.
  • 5600+ Downloads
    Updated January 19, 2020 | Dataset date: Jan 1, 1990-Jan 15, 2020
    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.
  • 800+ Downloads
    Updated January 19, 2020 | Dataset date: Jul 15, 1998-Oct 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.
  • 30+ Downloads
    Updated January 17, 2020 | 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
  • 8900+ Downloads
    Updated January 15, 2020 | 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.
  • 90+ Downloads
    Updated January 14, 2020 | Dataset date: Jan 1, 1994-Dec 31, 2014
    This dataset updates: Live
    The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • 1300+ Downloads
    Updated January 14, 2020 | Dataset date: Jan 1, 2017-Nov 30, 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.
  • 4000+ Downloads
    Updated January 14, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 1100+ Downloads
    Updated January 13, 2020 | Dataset date: Sep 1, 2018-Dec 31, 2019
    This dataset updates: Every month
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
  • 1400+ Downloads
    Updated January 8, 2020 | Dataset date: Sep 1, 2018-Dec 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset The first dataset '2019 Attacks on Health Care KKADD' covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members so far in 2019. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 10+ Downloads
    Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: population is_in source place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: capacity:persons building addr:full name operator:type source emergency:helipad addr:city emergency aeroway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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:full network operator source name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: building amenity addr:full operator:type source name port addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: capacity:persons building amenity healthcare addr:full operator:type source name healthcare:speciality addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: capacity:persons building amenity addr:full operator:type source name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated January 4, 2020 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: layer addr:full operator:type ele source name addr:city railway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 50+ Downloads
    Updated December 26, 2019 | Dataset date: Aug 5, 2019-Sep 15, 2019
    This dataset updates: As needed
    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.
  • 10+ Downloads
    Updated December 21, 2019 | Dataset date: Nov 9, 2017
    This dataset updates: As needed
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • Updated December 21, 2019 | Dataset date: Nov 9, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 200+ Downloads
    Updated December 4, 2019 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: shop beds opening_hours rooms amenity man_made addr:full addr:street addr:housenumber source tourism name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 400+ Downloads
    Updated December 4, 2019 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: covered layer tunnel waterway blockage water name source width depth natural This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 300+ Downloads
    Updated December 4, 2019 | Dataset date: Jan 4, 2020
    This dataset updates: Every month
    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: office building building:levels addr:full building:materials addr:street addr:housenumber source name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.