Key Figures
Data Completeness
4/26 Core Data 18 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
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  • 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
Coordination & Context
4 Datasets
Food Security & Nutrition
2 Datasets
Geography & Infrastructure
3 Datasets
Health & Education
2 Datasets
Population & Socio-economic Indicators
3 Datasets
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  • 30+ Downloads
    Updated June 21, 2019 | Dataset date: Jan 1, 1997-Dec 31, 2019
    This dataset updates: Live
    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.
  • 200+ Downloads
    Updated June 21, 2019 | Dataset date: Jun 10, 2019
    This dataset updates: Every two weeks
    Mozambique 3W/4W (Response Tracking) for the the Cyclone Kenneth response.
  • 100+ Downloads
    Updated June 21, 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
  • Updated June 20, 2019 | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern originating from Mozambique. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • 10+ Downloads
    Updated June 20, 2019 | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern residing in Mozambique. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • Updated June 15, 2019 | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Mozambique. Source: http://ngoaidmap.org/location/gn_1036973
  • Updated June 13, 2019 | Dataset date: Jan 1, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2013 southernafrica201304_ML2 Most likely food security outcome for April-June 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated June 13, 2019 | Dataset date: Jun 1, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2013 southernafrica201304_ML2 Most likely food security outcome for July-September 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 100+ Downloads
    Updated June 12, 2019 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • 1700+ Downloads
    Updated June 10, 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.
  • 700+ Downloads
    Updated June 7, 2019 | Dataset date: Jun 7, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 1100+ Downloads
    Updated June 6, 2019 | Dataset date: May 20, 2019
    This dataset updates: Every week
    Mozambique 3W/4W (Response Tracking) for the the Cyclone Idai response.
  • Updated May 28, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
  • Updated May 28, 2019 | Dataset date: Jan 1, 2013-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mozambique 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00432
  • Updated May 28, 2019 | Dataset date: Jan 1, 2013-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mozambique 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00324
  • 100+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 40+ Downloads
    Updated May 27, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: As needed
    Safety, security and access analysis for emergency response efforts.
  • 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.
  • 20+ 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
  • 20+ 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.
  • 70+ 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).
  • 40+ 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.
  • 40+ 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)