Updated
23 June 2022
| Dataset date: March 26, 2019-October 01, 2021
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.
Updated
9 February 2022
| Dataset date: April 12, 2019-April 12, 2019
This dataset contains key figures and other data pertaining to the evolving humanitarian situation in during the Tropical Cyclone Idai response in Mozambique.
Updated
3 December 2021
| Dataset date: October 02, 2019-November 09, 2019
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.
Updated
4 July 2021
| Dataset date: April 01, 2019-April 01, 2019
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
6 September 2019
| Dataset date: April 07, 2019-April 07, 2019
Malawi has experienced floods and sustained heavy rains caused by the tropical cyclone Idai weather system. IOM, in close coordination with the Government of Malawi through the Department of Disaster Management Affairs (DoDMA), conducted multi-sectoral location assessments in Chikwawa, Nsanje, Phalombe, Zomba districts. The dataset contains number of IDPs, households and their needs at sub-national level.
Updated
22 April 2019
| Dataset date: March 13, 2019-March 20, 2019
This data illustrates the satellite detected surface waters in Manica, Sofala, and Tete Provinces in Mozambique, as observed from Sentinel-1 imagery acquired on 13, 14, 19 and 20 March 2019.
Updated
16 April 2019
| Dataset date: March 21, 2019-March 21, 2019
This dataset includes 700 completed interviews from Mozambique following Cyclone Idai, including respondents from Sofala province and Beira. All respondents were affected by the cyclone, and data includes information on home and community damages, food security, and access to resources including clean water and electricity. Data was collected via remote SMS survey March 21st, 2019 - March 22nd 2019 and is not nationally or regionally representative but is intended to show a snapshot of the cyclone's impact on the ground. Statistical disclosure control methods have been applied to the data in order to protect individual respondents information.
Updated
Live
| Dataset date: April 12, 2019-April 12, 2019
Layer provides distribution of landslide hazard, describing by an index of very low to very high hazard.
Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.
Updated
Live
| Dataset date: April 12, 2019-April 12, 2019
Data produced under Thematic National Mapping and Cartographic updating Project at 1/250 000 scale implemented by National Cartography and Tele-detection Centre, Mozambique (CENACARTA).
Updated
Live
| Dataset date: April 12, 2019-April 12, 2019
Data produced under hydrological forecasting strategy where National Directorate of Water Resource Management (DNGRH) is one of the main actors of the Disaster Risk Reduction system, whose fundamental and prime task is the monitoring, forecasting and issuing early warnings about the risks ahead, resulting in the safeguarding of lives and property
Updated
12 April 2019
| Dataset date: December 31, 2014-December 31, 2014
Livelihood zone maps define geographic areas of a country where people generally share similar options for obtaining food and income and similar access to markets. An understanding of geographic livelihood systems is a key component of FEWS NET’s food security analysis. The maps are produced through multi-day workshops during which food security stakeholders and country experts identify zones. Factors considered include agro-climatology, elevation, land-cover, market accessibility, sources of food, and major economic activities. A livelihood zone map is typically accompanied by a livelihood description which outlines the key characteristics of each zone. In some cases, maps may also be accompanied by livelihood profiles, which are in-depth descriptions of the characteristics of wealth groups within each zone. The zone maps are available for download as PDFs, PNGs, and GIS shapefiles. The shapefiles and maps are all produced and maintained by FEWS NET. Please consult the logos in maps for the full list of organizations who participated in and/or funded the zoning workshop. For more information on FEWS NET’s livelihood approach and to view our other livelihood products, please click here.
Updated
Live
| Dataset date: April 12, 2019-April 12, 2019
Data were produced under Thematic National Mapping and Cartographic updating Project at 1/250 000 scale implemented by National Cartography and Tele-detection Centre, Mozambique (CENACARTA)
Updated
12 April 2019
| Dataset date: April 12, 2019-April 12, 2019
Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.
Updated
Live
| Dataset date: April 12, 2019-April 12, 2019
Data produced under Thematic National Mapping and Cartographic updating Project at 1/250 000 scale implemented by National Cartography and Tele-detection Centre, Mozambique (CENACARTA).
