Data Completeness
7/27 Core Data 33 Datasets 13 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
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Health & Education
8 Datasets
Population & Socio-economy
3 Datasets
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  • 90+ Downloads
    Updated March 28, 2020 | Dataset date: Jan 1, 1989-Dec 31, 2018
    This dataset updates: As needed
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 200+ Downloads
    Updated March 28, 2020 | Dataset date: Jan 1, 2008-Dec 31, 2018
    This dataset updates: As needed
    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 Global Internal Displacement Database.
  • 5800+ Downloads
    Updated March 28, 2020 | Dataset date: Mar 28, 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.
  • 69000+ Downloads
    Updated Live | Dataset date: Jan 22, 2020-Mar 27, 2020
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn. Pneumonia. 2020, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH). JSU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv for the latest time series data ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 10+ Downloads
    Updated March 26, 2020 | Dataset date: Mar 24, 2020
    This dataset updates: Every week
    The Data is the number of district wise returnee migrants who are under quarantined now.
  • 10+ Downloads
    Updated March 23, 2020 | Dataset date: Dec 1, 2015-Dec 31, 2020
    This dataset updates: Every year
    This report presents the main conclusions of the 2nd round of the IPC Chronic Food Insecurity analysis, which covered 10 districts. The 1st round of IPC Chronic Food Insecurity analysis was conducted in November 2014 and covered 18 districts located in the Northern and Southern parts of Bangladesh. The results of both rounds of IPC Chronic Food Insecurity analysis covering a total of 28 districts will remain valid for next 3 to 5 years, in the absence of any structural changes. Out of the 10 districts analyzed, Sunamgonj and Bandarban have been classified in Level 4 or Severe Chronic Food Insecurity (CFI). The other 8 districts have been classified in moderate CFI (Level 3). Of the total population in the 10 districts analyzed, 12 percent is in Level 4 and 18 percent in Level 3. The proportion of population in Level 3 is higher in south eastern Chittagong Hill Tracts (CHT) districts than in north eastern Haor districts. Food access, utilization, sanitation, caring practices and more especially poverty are the major drivers of chronic food insecurity in the most affected districts. In Level 4 districts, Sunamganj and Bandarban, the severe chronic food insecurity is the result of the poor food consumption quantity, quality and high levels of chronic undernutrition. In Level 3 districts, food consumption quality is worse than quantity and chronic undernutrition is a major concern. Nearly 70 percent of children and over 60 percent of women do not consume minimum diversified diets. Severe stunting rates vary between 11-20 percent with exception of Rangamati. For more visit: http://www.ipcinfo.org/ipc-country-analysis/details-map/en/c/459653/?iso3=BGD
  • 100+ Downloads
    Updated March 23, 2020 | 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.
  • 200+ Downloads
    Updated March 22, 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.
  • 6100+ Downloads
    Updated March 22, 2020 | Dataset date: Jan 1, 1990-Mar 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.
  • 900+ Downloads
    Updated March 22, 2020 | Dataset date: Jul 15, 1998-Dec 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.
  • 9100+ Downloads
    Updated March 22, 2020 | Dataset date: May 31, 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 in Cox's Bazar
  • 100+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 1994-Dec 31, 2014
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Bangladesh - National Demographic and Health Data on HDX. 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.
  • 300+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 1994-Dec 31, 2014
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Bangladesh - Subnational Demographic and Health Data on HDX. 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.
  • 1500+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 2017-Feb 29, 2020
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 90+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2020
    This dataset updates: As needed
    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.
  • 9700+ Downloads
    Updated March 19, 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.
  • 1700+ Downloads
    Updated March 17, 2020 | Dataset date: Jan 1, 2019-Feb 29, 2020
    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 These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • 1400+ Downloads
    Updated March 17, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2018
    This dataset updates: As needed
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS Coordination, AMR GLASS Surveillance, AMR GLASS Quality assurance, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD For links to individual indicator metadata, see resource descriptions.
  • 1400+ Downloads
    Updated March 14, 2020 | Dataset date: Jan 1, 2019-Feb 29, 2020
    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 and with links to relevant Monthly News Brief.
  • 4500+ Downloads
    Updated March 12, 2020 | Dataset date: Jan 1, 2015-Feb 29, 2020
    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.
  • 80+ Downloads
    Updated March 11, 2020 | Dataset date: Jan 27, 2020
    This dataset updates: Every three months
    The dataset provides the information about existing common facility infrastructure points (except WASH) by Sector/Sub-sector, facility type, location (lat/lon) with an unique ID at Rohingya refugee camps in Cox's Bazar district, Bangladesh. The dataset is sourced and verified by sector/WG, IOM-NPM, UNHCR, ISCG in Cox's Bazar
  • 1100+ Downloads
    Updated March 5, 2020 | Dataset date: Mar 5, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated March 2, 2020 | Dataset date: Mar 2, 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 emergency:helipad addr:city operator:type emergency source addr:full name aeroway building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated March 2, 2020 | Dataset date: Mar 2, 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: addr:city source building operator:type port addr:full name amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated March 2, 2020 | Dataset date: Mar 2, 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: addr:full rooms addr:housenumber beds addr:city addr:street opening_hours source man_made name tourism amenity shop This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.