Syrian Arab Republic: Integrated Context Analysis (ICA), 2018

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic between 2018 and 2019, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).

This layer contains information about the flood hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.

This layer contains information about the drought hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2016. The main indicator used for the analysis was the number of poor growing seasons observed between 2012 and 2016 (using as benchmark the 35-years average) and the percentage of interannual rainfall variability observed between 1982-2016.

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: FSA, FSLA-FSA and CFSAM-FSA, 2015-2018. The main indicator used for the analysis was the CARI (Consolidated Approach to Reporting Indicators of Food Security) indicator, with a threshold - referring to moderately and severely food insecure households - set to 30%.

This layer contains information about the two most dominant land cover classes - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: NASA MODIS, 2016.

This layer contains information about the natural shock hazard (floods and droughts) - by second-level administrative unit - estimated during the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic between 2018 and 2019. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2016.

This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: FSA, FSLA-FSA and CFSAM-FSA, 2015-2018. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the population at risk of food insecurity.

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.

This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicators used for the analysis were the prevalence of Global Acute Malnutrition (GAM) and stunting, with thresholds set according to the guidelines suggested by the World Health Organization (WHO).