# Earthquake loss database **Example**: A tabular database documenting economic losses from a historical earthquake event, with values in USD and breakdowns by loss type and geographic area. ## Step-by-step guidance ### 1. Dataset-level metadata Select the following values when describing your dataset: - **Risk data type**: `loss` - **Title**: "Economic losses from \[earthquake event name/date\]" - **Description**: Brief description of the earthquake event, affected regions, and data collection methodology - **Publisher**: Organization that compiled the loss data (e.g., government agency, World Bank, insurance association) - **License**: Appropriate license ### 2. Resources Add resources for your loss database files: - **Format**: `csv`, `xlsx`, or `geopackage` - **Spatial resolution**: Administrative level, building-level, or grid-based - **Coordinate reference system**: `EPSG:4326` (if spatial) or not applicable for tabular data ### 3. Loss metadata Under the Loss section: #### Loss category - **Category**: `economic` #### Hazard event reference Link to the specific hazard event: - **Hazard type**: `earthquake` - **Event name**: Official name or designation of the earthquake - **Event date**: Date of occurrence (ISO 8601 format: YYYY-MM-DD) - **Event magnitude**: Moment magnitude (Mw) or other scale - **Event location**: Epicenter coordinates or affected region #### Loss metrics Define what loss types are measured: **Metric 1 - Direct structural damage:** - **Loss type**: `direct` - **Dimension**: `structure` - **Unit**: Currency code (e.g., `USD`) - **Reference year**: Year for currency valuation **Metric 2 - Direct contents damage** (optional): - **Loss type**: `direct` - **Dimension**: `content` - **Unit**: Currency code **Metric 3 - Business interruption** (optional): - **Loss type**: `indirect` - **Dimension**: `business_interruption` - **Unit**: Currency code **Metric 4 - Casualties** (optional): - **Loss type**: `human` - **Dimension**: `fatalities` or `injuries` - **Unit**: `people` or `count` #### Temporal information - **Assessment date**: When losses were assessed or reported - **Time period**: If losses accumulated over time (e.g., business interruption duration) ### 4. Spatial coverage Define the geographic extent of losses: - **Scale**: `sub-national` or `national` - **Countries**: Select applicable ISO 3166-1 alpha-3 country codes - **Administrative regions**: Provinces/districts affected - **Bounding box**: Coordinates of affected area ## Example data structure Your loss database should include: **For spatially-aggregated losses:** - Geographic unit ID (e.g., admin code, district ID) - Geographic unit name - Geometry or coordinates (if spatial) - Direct structural losses - Direct contents losses - Indirect/business interruption losses - Number of buildings damaged by damage state - Population affected - Fatalities and injuries **Example CSV structure:** ``` District_Code,District_Name,Direct_Loss_Structure_USD,Direct_Loss_Content_USD,Buildings_Damaged,Population_Affected,Fatalities YEM001,Sana'a,125000000,45000000,2500,150000,45 YEM002,Taiz,78000000,28000000,1800,95000,28 YEM003,Aden,52000000,18000000,1200,60000,15 ``` **For building-level losses:** - Building ID - Location (coordinates) - Building type/taxonomy - Damage state - Structural loss value - Contents loss value - Occupants affected ## Key considerations - Specify the currency and reference year for all monetary values - Include exchange rates if values were originally in local currency - Note if values are adjusted for inflation - Document the source of loss estimates - Government assessments - Insurance claims data - Field surveys (PDNA, DALA) - Remote sensing damage assessment - Engineering estimates - Distinguish between different loss types: - **Direct losses**: Physical damage to assets (structure, contents, inventory) - **Indirect losses**: Business interruption, production losses, economic disruption - **Intangible losses**: Loss of life, cultural heritage, environmental damage - Include information about: - Assessment methodology and assumptions - Coverage (insured vs. uninsured losses) - Disaggregation (by sector, building type, damage state) - Uncertainty and confidence levels - Reference the specific earthquake event clearly: - Official designation or name - Date and time - Magnitude and depth - Link to earthquake catalog or USGS event ID - Note any exclusions or limitations: - Partial coverage areas - Excluded sectors or loss types - Time cutoffs for loss accumulation ## Linking to hazard and exposure data When possible, provide linkages to: - **Hazard**: Reference the earthquake event in a hazard catalog - **Exposure**: Link to building inventory or exposure dataset for affected area - **Vulnerability**: Reference damage functions used if losses are modeled rather than observed