CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2015. The complete report is... Read More
The CGA publishes an annual report based on data entered into the Damage Information Reporting Tool for a given year. The most recent version, DIRT Report for 2015, was published in September 2016 and provides analysis on data submitted into DIRT for 2015. The CGA also publishes additional reports that provide analysis on subsets of the entire data set. This allows for identification of unique characteristics and more targeted damage prevention improvement opportunities.
For additional information on the DIRT program, visit the DIRT program page. Submit your feedback on the report through the DIRT Report feedback form.
CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2015. The complete report is... Read More
The CGA has conducted a separate analysis of the damage and near miss reports submitted into DIRT affecting liquid pipeline facilities in 2014, and prepared a presentation with... Read More
The CGA has conducted a separate analysis of the damage reports submitted into DIRT affecting natural gas distribution facililties in 2014. The Natural Gas Distribution Report... Read More
CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2014. Submit your... Read More
CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2013.
CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2012.
CGA’s annual DIRT report provides a summary and analysis of the events submitted into CGA’s Damage Information Reporting Tool (DIRT) for the year 2011.
Access the interactive Tableau dashboard that allows users to filter the data more granularly.
