Key Figures
Data Completeness
11/25 Core Data 20 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
5 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
6 Datasets
3w - Who is doing what where
Affected Areas
International Federation of Red Cross and Red Crescent Societies (IFRC)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Food Security & Nutrition
2 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
Health & Education
2 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Population & Socio-economic Indicators
2 Datasets
Baseline Population
Baseline Population by Age & Sex
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  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: emergency operator:type addr:full name aeroway capacity:persons emergency:helipad addr:city building source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: operator:type addr:full port name amenity addr:city building source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: operator:type addr:full name capacity:persons amenity addr:city building source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: railway operator:type ele addr:full name layer addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: addr:full operator name amenity network addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: operator:type healthcare:speciality addr:full name capacity:persons amenity addr:city building healthcare source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 8, 2019
    This dataset updates: Every week
    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: place name population is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 4200+ Downloads
    Updated December 6, 2019 | Dataset date: Dec 6, 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.
  • 100+ Downloads
    Updated December 3, 2019 | Dataset date: Dec 8, 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: addr:full opening_hours rooms name tourism man_made amenity shop addr:city beds addr:street addr:housenumber source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated December 3, 2019 | Dataset date: Dec 8, 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: blockage tunnel width name layer depth water covered waterway natural source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 300+ Downloads
    Updated December 3, 2019 | Dataset date: Dec 8, 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: width name surface highway layer smoothness lanes oneway source bridge This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated December 3, 2019 | Dataset date: Dec 8, 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: addr:full building:levels office name addr:city building addr:street addr:housenumber source building:materials This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated December 2, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every month
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
  • 100+ Downloads
    Updated December 1, 2019 | 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.
  • 5300+ Downloads
    Updated December 1, 2019 | Dataset date: Jan 1, 1990-Nov 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 December 1, 2019 | Dataset date: Nov 15, 1992-Oct 15, 2019
    This dataset updates: Every week
    This dataset contains Food Prices data for Mozambique. 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.
  • 10+ Downloads
    Updated November 29, 2019 | Dataset date: Nov 8, 2019
    This dataset updates: Every three months
    The dataset contains IDPs at sub national level displaced by Cyclone Kenneth
  • 1000+ Downloads
    Updated November 28, 2019 | Dataset date: Jan 1, 2018-Oct 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.
  • 10+ Downloads
    Updated November 26, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2019
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Mozambique Humanitarian Response Plans (HRPs). The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
  • 200+ Downloads
    Updated November 26, 2019 | Dataset date: Oct 2, 2019-Nov 9, 2019
    This dataset updates: Every three months
    Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.
  • 3600+ Downloads
    Updated November 25, 2019 | Dataset date: Jan 1, 2017-Oct 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.
  • 200+ Downloads
    Updated November 22, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2026
    This dataset updates: Every year
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.
  • 2600+ Downloads
    Updated November 20, 2019 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every year
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • Updated November 19, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2015
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Indicators: Debt relief committed under HIPC and MDRI initiatives, Debt relief committed under HIPC initiative, Debt relief delivered in full under MDRI initiative, Mosquito net use by children, Status under enhanced HIPC initiative
  • Updated November 19, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles, high-technology exports, royalty and license fees, and patents and trademarks. Sources include the UNESCO Institute for Statistics, the U.S. National Science Board, the UN Statistics Division, the International Monetary Fund, and the World Intellectual Property Organization. Indicators: Charges for the use of intellectual property, High-technology exports, Patent applications, Research and development expenditure, Researchers in R&D, Scientific and technical journal articles, Technicians in R&D, Trademark applications