Key Figures
Data Completeness
5/26 Core Data 14 Datasets 9 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
2 Datasets
Coordination & Context
4 Datasets
Food Security & Nutrition
2 Datasets
Geography & Infrastructure
3 Datasets
Health & Education
2 Datasets
Population & Socio-economic Indicators
1 Datasets
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  • 100+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 2019
    This dataset updates: Every day
    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.
  • 100+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 2019
    This dataset updates: Every day
    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.
  • 100+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 2019
    This dataset updates: Every day
    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.
  • 60+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 2019
    This dataset updates: Every day
    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.
  • 3100+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 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.
  • 600+ Downloads
    Updated May 24, 2019 | Dataset date: May 20, 2019
    This dataset updates: Every week
    Mozambique 3W/4W (Response Tracking) for the the Cyclone Idai response.
  • 1800+ Downloads
    Updated May 23, 2019 | Dataset date: Jan 1, 2017-Apr 30, 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.
  • 60+ Downloads
    Updated May 23, 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.
  • 200+ Downloads
    Updated May 22, 2019 | Dataset date: May 21, 2019
    This dataset updates: Every week
    DTM is tracking in/out movement of displaced people in 4 Provinces hit by IDAI cyclone.
  • 60+ Downloads
    Updated May 21, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every two weeks
    Mozambique 3W/4W (Response Tracking) for the the Cyclone Kenneth response.
  • 60+ Downloads
    Updated May 20, 2019 | Dataset date: Oct 1, 2018
    This dataset updates: Every three months
    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information. There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 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.
  • 200+ Downloads
    Updated May 19, 2019 | Dataset date: Jan 15, 2003-Mar 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.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Feb 15, 2017
    This dataset updates: Never
    The Tropical Cyclone Dineo-17, is approaching Mozambique coasts and is expected to make landfall The 16 February 2017 in the central province of Inhambane. Potential heavy rainfall are also expected according microwave satellite sensors and might induce flooding in the affected areas. This report provides an analysis on the potentially exposed population per wind speed zones in Mozambique. According to our analysis approximately 250,000 people in Mozambique may be exposed to over 120km/h sustainable wind speeds and 59,000 people might be exposed to 90km/h wind speed. About 1,160,000 people might be exposed to moderate winds of 60km/h.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Feb 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over Save River in Mozambique as observed from the Radarsat-2 images acquired on 17 February 2017 and 05 February 2017. A decrease of surface waters was observed in the 17 February 2017 image compared to the 05 February 2017 image along the Save river. 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: Apr 4, 2019
    This dataset updates: Never
    This map illustrates the cumulative satellite-detected surface waters in central provinces of Mozambique and particularly the Sofala province and its surroundings, as observed from the Sentinel-1 imagery acquired between 13 & 26 March 2019. Within the analysis extent. over Sofala and Manica provinces, a total of 170,000 km2 of surface imagery were analyzed and about 10,000 km2 of lands experienced floods within this period. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite data : Sentinel-1 Imagery date: 13-14-19-20-26 March 2019 Resolution: 10 m Copyright: Copernicus 2019/ESA Source:ESA Boundary data: OCHA ROSEA Water body & waterway: COD Analysis : UNITAR-UNOSAT Production:UNITAR - UNOSAT
  • This map illustrates satellite-detected surface waters in Tete and Zambezia province, Mozambique as observed from Sentinel-1 imagery acquired on 7 April 2019. Within the analysed extent of about 7,800 sq km, a total about 100 sq km of lands appear to be flooded as of 7 April 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite Data (Post): Sentinel-1 Imagery Date (1): 7 April 2019 Imagery Date (2): 20 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA
  • 10+ Downloads
    Updated May 10, 2019 | Dataset date: May 7, 2019
    This dataset updates: Every week
    Child protection operational presence, activities and beneficiaries for Sofala and Manica Provinces at Postos level.
  • 1400+ Downloads
    Updated May 7, 2019 | Dataset date: Apr 2, 2019
    This dataset updates: Every year
    Mozambique administrative level 0 (country), 1 (province), 2 (district) and 3 (posto) boundary polygons, lines, and gazetteer. PLEASE NOTE that the Mozambique population statistics are not currently available.
  • 50+ Downloads
    Updated May 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).
  • 20+ Downloads
    Updated April 30, 2019 | Dataset date: Apr 1, 2019-Apr 17, 2019
    This dataset updates: Never
    Data from the Cyclone Idai UNDAC A&A Cell Mozambique Rapid Assessment covering Sofala and Manica provinces in April 2019.
  • 100+ Downloads
    Updated April 30, 2019 | Dataset date: Apr 1, 2019
    This dataset updates: Every day
    This dataset is based on an extract from OpenStreetMap. In addition, it contains access constraints status in the column "status" and is edited regularly with information received by partners of the Logistics cluster in Mozambique. This dataset is the same as used on the Logistics Cluster Access Constraints map published here: https://logcluster.org/sector/cyclone-idai19
  • 30+ Downloads
    Updated April 29, 2019 | Dataset date: Apr 23, 2019
    This dataset updates: Never
    Just over a month after the tropical cyclone IDAI-19 a new tropical storm is heading toward Comoros, Tanzania and the north of Mozambique called 'twentyfour-19'. The category 2 tropical storm is expected to make landfall between the 27th and the 28th of April 2018 south of Mocimboa da Praia town located in the province of Cabo Delgado in the extreme northern part of Mozambique. Based on data of the expected tropical cyclone path Twentyfour-19, wind speeds zones from Joint Research Centre (Issued on 23 April 2019 06:00 UTC), and population data from WorldPop 2015, UNITAR-UNOSAT conducted a population exposure analysis for Mozambique. About 750,000 people in Mozambique, mainly in Cabo Delgado province are living inside the wind speed zones of 120 km/h, 90 km/h and 60 km/h accordingly. Cyclone track: Joint Research Centre (JRC) as of 23/04/2019 Wind speed zones: Joint Research Centre (JRC) as of 23/04/2019, 06:00 UTC Administrative Levels: OCHA ROSEA Spatial Demographic Data: WorldPop (2015), 100m spatial resolution Analysis: UNITAR-UNOSAT (23/04/2019)
  • 100+ Downloads
    Updated April 29, 2019 | Dataset date: Apr 18, 2019
    This dataset updates: Every month
    Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in the Sofala province of Mozambique one of the provinces affected by the storm.
  • 30+ Downloads
    Updated April 26, 2019 | Dataset date: Jan 1, 2015
    This dataset updates: As needed
    These data summarize the latest available WorldPop gridded population datasets into the administrative units of the common operational dataset (COD). Note that these data should not be considered the COD datasets for population unless endorsed by the humanitarian community in country, but rather as a starting point if no COD dataset is available, or as a point of comparison with other population datasets. These data are provided as a prototype and feedback is welcome at hdx.feedback@gmail.com