The main topic of the survey is the assessment of the impact of 2012 flood on income and expenditure and poverty status of farmers. Twelve farmers in 19 villages in two municipalities (Malanville and Karimama) have been interviewed.

Flood hazard maps showing information on extent, severity and probability integrated in a flood hazard index in Burkina Faso, Benin and Ghana.

Household survey conducted in the Vea watershed of Burkina Faso between the periods May 2013 to February 2014. It describes several household characteristics such as age, gender, income sources, agricultural production levels, Occurrence of droughts and floods as well as the impact of these hazards. The data also include several derived parameters such as household income, household size in adult equivalent scale, Tropical livestock units and poverty prevalence.

This dataset describe household survey conducted in the Vea watershed of Ghana between the periods May 2013 to February 2014. It describes several household characteristics such as age, gender, income sources, agricultural production levels, Occurrence of droughts and floods as well as the impact of these hazards. The data also include several derived parameters such as household income, household size in adult equivalent scale, Tropical livestock units and poverty prevalence.

Collection of national and local level records on past flood and drought events. Most Information is on flood events, because drought data was not provided. There are gaps in the records. For several years there are only very few entries depending on the countries. The database exists in two parts. This part deals with the information collected directly within the countries from the national disaster management authorities and agricultural ministries (CONASUR, NADMO, ANPC and MDGLAAT). All available information that was recorded was included. For some entries, event-specific information could be included while for others aggregated information per year or per quarter of a year was used (not event-specific). A working paper documents the content and results of both event databases, the open source data event database and the local data event database. The three maps on (i) flood affected people, (ii) flood affected houses, and (iii) flood affected crops are drawn to illustrate the content of the database in an aggregated manner.

Robust risk assessment requires accurate flood intensity area mapping to allow for the identification of populations and elements at risk. However, available flood maps in West Africa lack spatial variability while global datasets have resolutions too coarse to be relevant for local scale risk assessment. Consequently, local disaster managers are forced to use traditional methods such as watermarks on buildings and media reports to identify flood hazard areas. In this study, remote sensing and Geographic Information System (GIS) techniques were combined with hydrological and statistical models to delineate the spatial limits of flood hazard zones in selected communities in Ghana, Burkina Faso and Benin. The approach involves estimating peak runoff concentrations at different elevations and then applying statistical methods to develop a Flood Hazard Index (FHI). Results show that about half of the study areas fall into high intensity flood zones. Empirical validation using statistical confusion matrix and the principles of Participatory GIS show that flood hazard areas could be mapped at an accuracy ranging from 77% to 81%. This was supported with local expert knowledge which accurately classified 79% of communities deemed to be highly susceptible to flood hazard. The results will assist disaster managers to reduce the risk to flood disasters at the community level where risk outcomes are first materialized.