Thailand Accident and Death Registry

Columns

• accident_date: The timestamp recording when the accident was reported.
• official_death_date: The official date of death issued by the government.
• age: The age of the deceased in years (Note: Data collected over a long period may contain human errors or outliers).
• gender: Gender of the deceased (Male, Female, or Other).
• nationality: Nationality of the deceased (e.g., Thai, Lao, etc.).
• accident_cause_code: The ICD10 code classifying the cause of the accident (e.g., V892).
• accident_cause: The ICD10 text description corresponding to the cause code.
• vehicle_type: The type of vehicle involved (e.g., motorbike, unidentified).
• province_th: Province name in Thai.
• district_th: District name in Thai.
• sub_district_th: Subdistrict name in Thai.
• province_en: Province name in English.
• district_en: District name in English.
• sub_district_en: Subdistrict name in English.
• latitude: Geospatial latitude coordinate of the incident.
• longitude: Geospatial longitude coordinate of the incident.

Distribution

• Format: Tabular data in CSV format (thailand_fatal_raod_accident_2011_2022.csv).
• Size: Approximately 58.91 MB.
• Structure: The dataset contains 16 columns and roughly 241,000 records.
• Data Quality: The data was aggregated from multiple responders over a decade; users should be aware of potential inconsistencies or human errors (e.g., age values) due to varying collection formats over time.

Usage

• Public Safety Analysis: identifying high-risk locations and timeframes for accidents.
• Policy Making: Informing government initiatives to reduce road fatalities.
• Urban Planning: Improving road infrastructure based on accident hotspots.
• Academic Research: Studying demographic trends in traffic-related mortality.
• Insurance Risk Modelling: Assessing regional risk factors for vehicle insurance.

Coverage

• Geographic: Covers the entirety of Thailand, including 77 provinces and approximately 5,000 subdistricts.
• Time Range: 2011 to 2022 (with some records appearing from late 2010).
• Demographic: Includes data on age, gender (predominantly Male at 76%), and nationality (majority Thai at 55%).
• Note: The dataset represents fatal accidents specifically.

License

Who Can Use It

• Data Scientists analysing traffic patterns and public health trends.
• Government Officials at the Ministry of Public Health or Department of Transport.
• Academic Researchers in sociology, urban planning, or epidemiology.
• NGOs focused on road safety and accident prevention.
• Journalists reporting on national safety statistics.

Dataset Name Suggestions

• Thailand Fatal Traffic Incidents (2011–2022)
• Thai Road Mortality Database
• National Injury Data: Thailand Road Fatalities
• Thailand Accident and Death Registry

Attributes