The Injury Tracking Application (ITA) data is collected by the Occupational Safety and Health Administration (OSHA) to track work-related injuries and illnesses. The data originates from OSHA Form 300A: Summary of Work-Related Injuries and Illnesses, encompassing industry-specific records from 2016 to 2023. By aggregating establishment-level summary data, ITA provides critical insights into workplace safety and health for industries, research institutions, and policymakers.
Data Uniqueness
- Authority and Standardization: Data is sourced directly from OSHA, a U.S. federal regulatory agency, with collection protocols strictly adhering to the Occupational Safety and Health Act, ensuring statistical consistency.
- Granular Establishment-Level Information: Includes detailed fields such as establishment name, address, and employee size, enabling precise geographic or industry analysis.
- Longitudinal Dynamic Panel Data: Covers consecutive years (2016-2023), facilitating tracking of safety performance evolution at the same establishment and supporting longitudinal studies. For example, analyzing trends in injury rates before and after regulatory revisions.
Data Application Value
- Academic Research Support: Suitable for empirical studies in labor economics, public health, safety management, and related fields.
- Industry Risk Assessment: Enterprises or insurers can benchmark industry safety levels using fields like "total_injuries" (伤害总数) and "industry_description" to formulate risk prevention and control strategies.
- Policy Impact Evaluation: Government agencies or non-profits can leverage fields such as "year_filing_for" (申报年份) and "sector" (部门分类) to evaluate the practical effects of specific safety regulations (e.g., enhanced oversight in high-risk industries), providing evidence for policy optimization.
With its authoritative, granular, and continuously updated characteristics, this database serves as a critical resource for workplace safety research and practice. Whether for trend analysis in academia, risk-informed decision-making in industry, or efficacy evaluation in policymaking, it offers a robust empirical foundation. By integrating multidimensional fields and multi-year information, it significantly advances scientific and refined governance in occupational safety.
Field Demonstration
Sample Data
Related Literature
- Judson Caskey, N. Bugra Ozel, 2017: Earnings expectations and employee safety, Journal of Accounting and Economics, Volume 63, Issue 1.
Data Update Frequency
Irregular updates