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En zone rurale, sur 5 767 villages enquêtés, 43,3% des villages reçoivent au moins un réseau de téléphonie mobile. La télévision nationale émet dans 46,6% des villages ruraux enquêtés alors que la radio nationale dans 93,7% des villages ruraux enquêtés. Les radios communautaires émettent dans un peu plus de la moitié (56,8%) des villages ruraux enquêtés. (source : REEA 2015/2016). **Table content** -Year -means of communication -Number of Villages -Flag -Unit **Value assigned to No-data**:m

Complementary to Agricultural Stress Index (ASI) which detects the severe and extreme drought, Drought Intensity is another quick-look indicator in ASIS that facilitates the early understanding of the intensity of the drought. It is a new indicator introduced in ASIS 2 (2018). Agricultural droughts are classified by their intensity and are categorized into four classes: Extreme, Severe, Moderate or Mild. The intensity of drought in ASIS is calculated through the weighted Mean Vegetation Health Index, indicating that the poorer the vegetation health the more severe the drought. Drought Intensity dekadal product is processed based on the conditions from the start of the season up to the current dekad. If differs from Drought Intensity Annual product which describes the drought conditions over the entire crop season. Important note: Map legend value= Pixel physical value * multiplier (100), except 251: off season, 252: no data, 253: no season and 254: no crop land, 255: water More information, please visit FAO GIEWS Earth Observation website: https://www.fao.org/giews/earthobservation/index.jsp?lang=en Data license policy: Creative Commons Attribution- NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO) Recommended citation: © FAO - Agricultural Stress Index System (ASIS), http://www.fao.org/giews/earthobservation/, [Date accessed]

Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. Precipitation anomalies expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha). The term "anomaly" means a departure from a reference value or long-term average. For the precipitation anomaly animation, the reference value is the average precipitation over the period 1970-1999. A positive anomaly value indicates that the observed precipitation was greater than the long-term average , while a negative anomaly indicates that the observed precipitation was less than the long-term average. Approximately 5km (0.05°) unit: "mm" dataType: "Float32" noDataValue: -9999

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