The Injury Tracking Application (ITA) data is collected by the Occupational Safety and Health Administration (OSHA) of the United States, aimed at tracking work-related injuries and illnesses. The data comes from OSHA Form 300A: Summary of Work-Related Injuries and Illnesses, covering data from 2016 to 2023 across various industries. By gathering institution-level summary data, ITA provides valuable insights into workplace safety and health for industries, research institutions, and policymakers.
Data Uniqueness
Authority and Standardization: The data is directly sourced from the U.S. federal regulatory agency, OSHA. The collection process strictly follows the Occupational Safety and Health Act regulations, ensuring consistent statistical standards. Granular Institution-Level Information: The dataset includes detailed fields such as company name, address, and employee size, enabling precise geographic or industry analysis. Longitudinal Panel Data: Covering the years 2016-2023, the data allows for the tracking of the evolution of safety performance in the same institution, providing support for longitudinal studies. For instance, it can be used to analyze changes in injury rates before and after regulatory revisions at a specific company.
Data Application Value
Academic Research Support: It is suitable for empirical research in labor economics, public health, safety management, and other fields. Industry Risk Assessment: Businesses or insurance companies can compare industry safety levels by using fields such as "total_injuries" and "industry_description," helping to develop risk prevention strategies. Policy Effectiveness Evaluation: Government agencies or non-profit organizations can assess the impact of specific safety regulations (e.g., enhanced oversight of high-risk industries) using fields like "year_filing_for" and "sector," providing evidence for policy optimization.
This database, with its authoritative, granular, and continuously updated features, has become a critical resource for workplace safety research and practice. Whether for trend analysis in academia, risk decision-making in industry, or evaluating the effectiveness of policies, the data provides a solid empirical foundation. By integrating multidimensional fields and cross-year information, it plays a vital role in promoting the scientific and refined governance of occupational safety.
Field Demonstration
Sample Data
相关文献
- Judson Caskey、N. Bugra Ozel,2017:Earnings expectations and employee safety,Journal of Accounting and Economics,Volume 63, Issue 1.
Data Update Frequency
Updated irregularly