Occupational Accident Risk Factors for 191 Palm Oil Workers in Indonesia

Indonesia-based quantitative data from 191 palm oil workers, collected to investigate occupational risk factors and support predictive model development. The dataset includes individual, occupational, environmental, organizational, and workload variables, with a primary outcome of occupational accidents. Annes Waren published the supporting materials on figshare in April 2026.

Use Cases

• Predicting work-related accident likelihood based on individual factors like age, BMI, and chronic disease status.
• Analyzing the relationship between organizational factors such as PPE use and supervision with accident frequency.
• Modeling the impact of environmental exposures like workplace temperature and noise on occupational safety outcomes.
• Investigating workload indicators, including NASA-TLX scores and heavy lifting, as predictors of accident severity.

Strengths

• Contains individual-level data from 191 workers, providing a specific sample size for analysis.
• Variables cover five distinct domains of occupational health, suggesting a multi-faceted approach to risk assessment.
• Includes both the quantitative dataset and original research instruments (questionnaire, interview guide) for transparency.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to 191 workers from a specific industry and region, which may affect generalizability.

Provenance

Source

Annes Waren via figshare.

Collection Method

Data collected via research questionnaire from palm oil workers.

Freshness

Last updated 2026-04-28 12:07:32; freshness should be verified.

Geography

Indonesia