Rape Case in Bangladesh (2020–2024)
Description
Rape Case in Bangladesh (2020–2024) This dataset provides a comprehensive record of reported rape incidents across Bangladesh from 2020 to 2024. Data were compiled from verified Bangladeshi news portals and include details about victims, offenders, locations, and incident context. Potential Applications The dataset can be used for: -Statistical trend and time-series analysis -Geographic crime pattern and hotspot mapping -NLP-based headline classification and topic modeling -Machine learning prediction and clustering tasks -Criminology and social science research -Dashboard development and visual reporting Dataset Overview Time Period: 2020–2024 Total Records: 883 incidents Total Columns: 18 attributes Each record represents a reported rape-related incident, covering cases with one or multiple victims or offenders. Column Descriptions 1. Year: Incident year 2. News Headline: Original Bangla headline 3. News Headline (English): Translated for accessibility and NLP 4. Number of Victims: Total victims in the incident 5. Victim Age: Age or age range 6. Rapist Age: Estimated age of offender(s) 7. Type of Rape: Category (e.g., gang rape, marital rape, minor victim) 8. Total Rapist: Number of offenders 9. Victims Death: Indicates if the victim survived or died 10. Victim Relationship with Offender: Stranger, neighbor, teacher, relative, employer 11. Time of Incident: Day, night, evening, or specific time 12. Incident Location Type: Home, road, field, school, forest, workplace 13. Victim Residence Type: Village home, rented house, hostel, slum 14. District: Location of incident 15. Division: Administrative division (Dhaka, Chattogram, Rajshahi, etc.) 16. Incident Date: Full constructed date 17. Source: News portal or newspaper 18. Link: Direct URL for verification and further extraction Purpose This dataset supports researchers, analysts, and policymakers in: -Examining year-wise crime trends -Identifying regional and socio-geographic patterns -Analyzing age-based vulnerability -Studying offender behavior and relationships -Building machine learning models for prediction or classification -Generating visual analytics dashboards -Raising awareness and guiding prevention strategies Ethical Considerations -Contains sensitive information; must be used responsibly -No personal or confidential data included -All information is sourced from publicly available news reports This dataset provides a critical foundation for data-driven analysis, research, and preventive strategy development in the context of sexual violence in Bangladesh.
Files
Institutions
- Daffodil International University