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Himalayan Earthquake Building Data
Data Science and Analytics
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About
This dataset provides vital information relating to the impact and damage sustained by buildings in Nepal following the 7.8 magnitude Gorkha earthquake in April 2015. This catastrophic event, which occurred near the Gorkha district of Gandaki Pradesh, led to the tragic loss of approximately 9,000 lives, displaced millions, and incurred an estimated $10 billion in damages, equating to about half of Nepal's nominal GDP. Following intense rebuilding efforts by the Nepalese government, this dataset was generated by the National Planning Commission, Kathmandu Living Labs, and the Central Bureau of Statistics. It stands as one of the largest post-disaster datasets ever collected, offering insights into earthquake impacts, household conditions, and socio-economic-demographic statistics. The dataset primarily details building structures and their legal ownership, with each row representing a distinct building affected by the Gorkha earthquake. It aims to support predictive modelling for damage grades and facilitate extensive data analysis on the impacts on buildings and households.
Columns
The dataset contains 79 columns, with
building_id serving as a unique and random identifier for each building. Other key columns describe district, municipality, and ward identification, various types and severities of structural damage, proposed technical solutions, repair status, and different geotechnical risks. Categorical variables have been obfuscated using random lowercase ASCII characters.- building_id: A unique identifier for each building.
- district_id: Identifier for the district.
- vdcmun_id: Identifier for the Village Development Committee/Municipality.
- ward_id: Identifier for the ward.
- damage_overall_collapse: Measure of overall building collapse damage.
- damage_overall_leaning: Measure of overall building leaning damage.
- damage_overall_adjacent_building_risk: Risk from adjacent building damage.
- damage_foundation_severe: Severity of damage to the foundation.
- damage_foundation_moderate: Moderation of damage to the foundation.
- damage_foundation_insignificant: Insignificant damage to the foundation.
- damage_roof_severe: Severity of damage to the roof.
- damage_roof_moderate: Moderation of damage to the roof.
- damage_roof_insignificant: Insignificant damage to the roof.
- damage_corner_separation_severe: Severity of corner separation damage.
- damage_corner_separation_moderate: Moderation of corner separation damage.
- damage_corner_separation_insignificant: Insignificant corner separation damage.
- damage_diagonal_cracking_severe: Severity of diagonal cracking damage.
- damage_diagonal_cracking_moderate: Moderation of diagonal cracking damage.
- damage_diagonal_cracking_insignificant: Insignificant diagonal cracking damage.
- damage_in_plane_failure_severe: Severity of in-plane failure damage.
- damage_in_plane_failure_moderate: Moderation of in-plane failure damage.
- damage_in_plane_failure_insignificant: Insignificant in-plane failure damage.
- damage_out_of_plane_failure_severe: Severity of out-of-plane failure damage.
- damage_out_of_plane_failure_moderate: Moderation of out-of-plane failure damage.
- damage_out_of_plane_failure_insignificant: Insignificant out-of-plane failure damage.
- damage_out_of_plane_failure_walls_ncfr_severe: Severity of out-of-plane failure in non-conforming reinforced concrete walls.
- damage_out_of_plane_failure_walls_ncfr_moderate: Moderation of out-of-plane failure in non-conforming reinforced concrete walls.
- damage_out_of_plane_failure_walls_ncfr_insignificant: Insignificant out-of-plane failure in non-conforming reinforced concrete walls.
- damage_gable_failure_severe: Severity of gable failure damage.
- damage_gable_failure_moderate: Moderation of gable failure damage.
- damage_gable_failure_insignificant: Insignificant gable failure damage.
- damage_delamination_failure_severe: Severity of delamination failure damage.
- damage_delamination_failure_moderate: Moderation of delamination failure damage.
- damage_delamination_failure_insignificant: Insignificant delamination failure damage.
- damage_column_failure_severe: Severity of column failure damage.
- damage_column_failure_moderate: Moderation of column failure damage.
- damage_column_failure_insignificant: Insignificant column failure damage.
- damage_beam_failure_severe: Severity of beam failure damage.
- damage_beam_failure_moderate: Moderation of beam failure damage.
- damage_beam_failure_insignificant: Insignificant beam failure damage.
- damage_infill_partition_failure_severe: Severity of infill partition failure damage.
- damage_infill_partition_failure_moderate: Moderation of infill partition failure damage.
- damage_infill_partition_failure_insignificant: Insignificant infill partition failure damage.
- damage_staircase_severe: Severity of staircase damage.
- damage_staircase_moderate: Moderation of staircase damage.
- damage_staircase_insignificant: Insignificant staircase damage.
- damage_parapet_severe: Severity of parapet damage.
- damage_parapet_moderate: Moderation of parapet damage.
- damage_parapet_insignificant: Insignificant parapet damage.
- damage_cladding_glazing_severe: Severity of cladding and glazing damage.
- damage_cladding_glazing_moderate: Moderation of cladding and glazing damage.
- damage_cladding_glazing_insignificant: Insignificant cladding and glazing damage.
- area_assesed: Indicates the assessment area (e.g., 'Both', 'Building removed').
- damage_grade: The assigned damage grade (e.g., 'Grade 5', 'Grade 4').
- technical_solution_proposed: Proposed solution for the building (e.g., 'Reconstruction', 'Major repair').
- has_repair_started: Binary indicator if repair has started (0 or 1).
- has_damage_foundation: Binary indicator if foundation damage is present.
- has_damage_roof: Binary indicator if roof damage is present.
- has_damage_corner_separation: Binary indicator if corner separation damage is present.
- has_damage_diagonal_cracking: Binary indicator if diagonal cracking damage is present.
- has_damage_in_plane_failure: Binary indicator if in-plane failure damage is present.
- has_damage_out_of_plane_failure: Binary indicator if out-of-plane failure damage is present.
- has_damage_out_of_plane_walls_ncfr_failure: Binary indicator if out-of-plane walls (NCFR) failure damage is present.
- has_damage_gable_failure: Binary indicator if gable failure damage is present.
- has_damage_delamination_failure: Binary indicator if delamination failure damage is present.
- has_damage_column_failure: Binary indicator if column failure damage is present.
- has_damage_beam_failure: Binary indicator if beam failure damage is present.
- has_damage_infill_partition_failure: Binary indicator if infill partition failure damage is present.
- has_damage_staircase: Binary indicator if staircase damage is present.
- has_damage_parapet: Binary indicator if parapet damage is present.
- has_damage_cladding_glazing: Binary indicator if cladding and glazing damage is present.
- has_geotechnical_risk: Binary indicator if any geotechnical risk is present.
- has_geotechnical_risk_land_settlement: Binary indicator if land settlement risk is present.
- has_geotechnical_risk_fault_crack: Binary indicator if fault/crack risk is present.
- has_geotechnical_risk_liquefaction: Binary indicator if liquefaction risk is present.
- has_geotechnical_risk_landslide: Binary indicator if landslide risk is present.
- has_geotechnical_risk_rock_fall: Binary indicator if rock fall risk is present.
- has_geotechnical_risk_flood: Binary indicator if flood risk is present.
- has_geotechnical_risk_other: Binary indicator if other geotechnical risks are present.
Distribution
The dataset is provided as a CSV file, named
csv_building_damage_assessment.csv, and has a size of 229.47 MB. It comprises 762,000 records, with each row representing a specific building affected by the Gorkha earthquake.Usage
This dataset is ideal for:
- Developing and testing predictive models, such as forecasting damage grades of buildings.
- Conducting data analysis and exploratory data analysis (EDA) to understand the impacts of earthquakes on buildings and households.
- Assessing and modelling earthquake Richter scale impacts.
- Informing strategies for post-disaster recovery and infrastructure rebuilding.
Coverage
The dataset focuses on the geographic area around the Gorkha district of Gandaki Pradesh, Nepal, specifically covering buildings impacted by the April 2015 Gorkha earthquake. The data collection began in the years following the 2015 earthquake, and updates are expected annually. It includes information on household conditions and socio-economic-demographic statistics related to the affected populations and their properties.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for a wide range of users, including:
- Researchers and Data Scientists: For advanced statistical analysis, machine learning model development, and earthquake impact studies.
- Government Agencies: Such as those involved in urban planning, disaster response, and infrastructure development (e.g., the National Planning Commission and Central Bureau of Statistics in Nepal) to inform policy and resource allocation.
- Civic-Tech Organisations and NGOs: Particularly those focused on open mapping and disaster relief efforts (e.g., Kathmandu Living Labs), to aid in effective on-the-ground response and recovery coordination.
- Academics and Students: For educational purposes, research projects, and gaining practical experience in disaster-related data analysis and predictive modelling.
Dataset Name Suggestions
- Nepal Earthquake Building Damage Data
- Gorkha Earthquake Building Impact Assessment
- Nepalese Post-Disaster Building Conditions
- Nepal Earthquake Structural Damage
- Himalayan Earthquake Building Data
Attributes
Original Data Source: Himalayan Earthquake Building Data
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