Syrian Arab Republic: Integrated Context Analysis (ICA), 2020

Data and Resources [10]
  • SHP
    ICA Syrian Arab Republic, 2020 - Recurrence of food insecurity, 2015-2019
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: FSA-FSLA, 2015-2019. 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 33%.

  • SHP
    ICA Syrian Arab Republic, 2020 - Flood hazard, 2013
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the flood hazard - by second-level administrative unit - estimated during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood hazard and the maximum expected frequency of flood events with a 100-year return period.

  • SHP
    ICA Syrian Arab Republic, 2020 - Severity of natural hazards
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the severity of natural hazards (floods and droughts) - by second-level administrative unit - estimated during the update of the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic in 2020. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2016, SYR CO Analysis of MODIS NDVI, 2000-2019.

  • SHP
    ICA Syrian Arab Republic, 2020 - Drought Hazard, 1982-2019
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the drought hazard - by second-level administrative unit - estimated during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2017, SYR CO Analysis of MODIS NDVI, 2000-2019. The main indicator used for the analysis was the number of poor growing seasons, both according to rainfall estimates and NDVI, observed in the last 5 years (using as benchmark a long-term average) and the percentage of interannual rainfall variability observed between 1982-2016.

  • SHP
    ICA Syrian Arab Republic, 2020 - ICA Categories & Areas
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the final categorization resulting from the update of the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic in 2020, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).

  • SHP
    ICA Syrian Arab Republic, 2020 - Estimates of Food Insecure People, 2015-2019
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: FSA-FSLA, 2015-2019. 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 (people with a CARI score between 2.25 and 2.49, marginally food insecure).

  • SHP
    ICA Syrian Arab Republic, 2020 - Land Degradation, 2001-2016
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data sources: HQ EMEG 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. The analysis differs from the one produced for the first version of the ICA because the second-level administrative units changed.

  • SHP
    ICA Syrian Arab Republic, 2020 - Prevalence of Global Acute Malnutrition, 2018
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: World Health Organization (WHO), 2018. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with thresholds set according to the guidelines suggested by the World Health Organization (WHO).

  • SHP
    ICA Syrian Arab Republic, 2020 - Most Dominant Land Cover Classes, 2018
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the two most dominant land cover classes - by second-level administrative unit - observed during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: NASA MODIS, 2018.

  • SHP
    ICA Syrian Arab Republic, 2020 - Conflict Intensity, Nov 2019-Feb 2020
    Modified: 24 October 2023
    P-coded: Yes

    This layer contains information about the conflict intensity observed during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: ACLED, 2019-2020. The key indicators used for the analysis were the number of security incidents - with related fatalities - recorded by Acled in the period between November 2019 and February 2020, and the number of security incidents - with related fatalities - involving IEDs.

Additional information
Time Period of the Dataset [?]
January 01, 2020-December 31, 2020 ... More
Modified [?]
24 October 2023
Dataset Added on HDX [?]
24 October 2023 Less
Expected Update Frequency
Never
Source
World Food Programme
Methodology

Volunteered geographic information

Caveats / Comments
File Format
Visibility
Public
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