Saudi Arabia - Risk Assessment Indicators
Published by HeiGIT (Heidelberg Institute for Geoinformation Technology)
About this dataset
This dataset provides comprehensive Risk Assessment Indicators for Saudi Arabia, aggregated at admin level 1 and can in particular be used to perform a structured risk assessment for flood and drought hazards and cyclone hazards. It includes demographic, environmental, infrastructure, accessibility, and hazard-related data to support disaster risk and resilience analysis. All layers are derived from HeiGIT’s GAIA Pipeline, integrating open data sources such as WorldPop, OpenStreetMap, and Google Earth Engine based on HDX COD-AB boundaries. --- ### Data Overview - Access to Services (`SAU_ADM1_access`) - Facilities (`SAU_ADM1_facilities`) - Coping Capacity (`SAU_ADM1_coping`) - Demographics (`SAU_ADM1_demographics`) - Rural Population (`SAU_ADM1_rural_population`) - Rural Accessibility Index (RAI) (`SAU_ADM1_rai`) - Vulnerability (`SAU_ADM1_vulnerability`) - Evacuability (`SAU_ADM1_evacuability`) - Flood Exposure (`SAU_ADM1_flood_exposure`) - Cyclone Exposure (`SAU_ADM1_cyclone_exposure`) --- ### Indicator Descriptions #### Access to Services (`SAU_ADM1_access`) Represents the share of the population with access to key facilities within defined distances or travel times. - ADM1_PCODE – Administrative division code (ADM1) - access_pop_education_5km / 10km / 20km – Population within 5, 10, and 20 km of educational facilities - access_pop_hospitals_30min / 1h / 2h – Population within 30 minutes, 1 hour, and 2 hours of a hospital - access_pop_primary_healthcare_30min / 1h / 2h – Population within 30 minutes, 1 hour, and 2 hours of a primary health care facility Data Source: openrouteservice (ORS) --- #### Facilities (`SAU_ADM1_facilities`) Counts of essential service facilities within each district. - ADM1_PCODE – Administrative division code (ADM1) - education_count – Number of educational facilities - hospitals_count – Number of hospitals - primary_healthcare_count – Number of primary health care facilities Data Source: OpenStreetMap (OSM) --- #### Coping Capacity (`SAU_ADM1_coping`) Combines Access to Services, Facilities, Evacuability, and Rural Accessibility Index (RAI) data to represent a district’s coping capacity. --- #### Demographics (`SAU_ADM1_demographics`) Shows the population composition by age and gender. - ADM1_PCODE – Administrative division code (ADM1) - total_pop – Total population - female_pop – Total female population - children_u5 – Population under 5 years old - female_u5 – Female population under 5 years old - elderly – Population aged 65 and older - pop_u15 – Population under 15 years old - female_u15 – Female population under 15 years old Data Source: Worldpop --- #### Rural Population (`SAU_ADM1_rural_population`) Same demographic breakdown as above, but limited to rural populations. Rural areas are those outside urban extents, typically characterized by lower population density, agricultural or natural land use, and limited infrastructure compared to urban centers. - ADM1_PCODE – Administrative division code (ADM1) - total_pop_rural, female_pop_rural, children_u5_rural, female_u5_rural, elderly_rural, pop_u15_rural, female_u15_rural – Rural demographic counts - rural_pop_perc – Percentage of total population living in rural areas Data Source: Global Human Settlement Layer (GHSL) --- #### Rural Accessibility Index (RAI) (`SAU_ADM1_rai`) Percentage of rural population living within 2 km of a paved