The Damage Information Reporting Tool (DIRT) is an initiative of the Common Ground Alliance (CGA). DIRT is a system for gathering data regarding damage and near-miss events related to buried facilities from excavation activities. It allows industry stakeholders in the United States (US) and Canada to submit data anonymously to a comprehensive database. This interactive website presents the DIRT data for 2018. It provides industry stakeholders with the opportunity to explore the data and inform focused strategies to reduce underground excavation damages.
In 2018, the number of events reported via DIRT was 440,749. Consolidating multiple reports of the same event and filtering out near-misses results in 341,609 Unique Damages, a increase of 7.95% compared to the equivalent figure for 2017. The 341,609 damages include 330,445 in the US and 11,164 in Canada.
The 2018 reported damages are the basis for the visualizations shown in the following tabs:
- The State/Provinces tab demonstrates the spatial distribution of the 2018 damage data.
- The Root Cause tab shows the connection between root cause and facility damaged, excavators and equipment.
- The DIRT Explorer tab allows the user to filter and query the damage data.
- The State Summaries tab allows users to examine damage data for a particular state.
- The Calendar Heatmap is a calendar view of the damage data with the ability to filter by geography and other variables.
IMPORTANT DIRT USE REQUIREMENTS
The Damage Information Reporting Tool (
DIRT), the DIRT Report (
Report), the DIRT Dashboard (
Dashboard), and information contained in DIRT, the Report, and/or the Dashboard (
DIRT Information) are subject to copyright and other intellectual property legal protections in favor of the Common Ground Alliance (
CGA) and/or its suppliers. Any access or use by you of DIRT, the Report, DIRT Information, and/or the Dashboard, electronically or otherwise, constitutes your agreement to the following: you agree that CGA and/or its suppliers, and not you, own all rights, titles, and interests in DIRT, the Report, the DIRT Information, and the Dashboard; you will use DIRT, the Report, DIRT Information, and/or the Dashboard only as designed and presented to you, and as permitted, by CGA; you will use DIRT, the Report, DIRT Information, and/or the Dashboard only in connection with promoting greater public awareness and education about underground infrastructure damage and prevention; you will not reverse engineer or otherwise attempt to discover the programming code for DIRT, the Report, DIRT Information, and/or the Dashboard; you will not sell, license, pledge, or otherwise encumber or dispose of DIRT, the Report, DIRT Information, and/or the Dashboard, or any part thereof; and you will not use DIRT, the Report, DIRT Information, and/or the Dashboard for any commercial or for-profit purpose. You agree that any other use of DIRT, the Report, DIRT Information, and/or the Dashboard is prohibited unless such use is agreed to in a written license agreement between you and CGA that is signed by authorized representatives of these parties.
This page presents the data by state and province. A range of outputs can be displayed by selecting the variable of interest. When users click on an individual state or province, a dialog box will display the jurisdiction's value for the chosen variable.
Note that participation in DIRT is voluntary and varies by state, which means that the DIRT data may not provide a complete picture of damages and damage prevention efforts. When viewing the data at a state or province level, higher damages may indicate a relatively higher level of voluntary reporting rather than higher damages. Thus, care must be taken when comparing state damage rates against each other or against a national figure.
U.S. Census Bureau (2018). Annual Estimates of the Resident Population July 1st, 2018. Retrieved from: https://www.census.gov/construction/c30/historical_data.html
U.S. Census Bureau (2017). Construction Spending. Retrieved from: https://www.census.gov/construction/c30/historical_data.html
Statistics Canada (2018). Population estimates on July 1st by age and sex. Retrieved from: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710000501
This page provides a quick glance of reported damages over the course of the year. By selecting a variable of interest and a sort variable, users can see the temporal pattern of the data. The focus of this page is on trends over time, rather than any particular day.
Users should note that some filtered variables may not provide interpretable outputs due to a limited number of reported damages for that variable.
This page provides detailed information for individual states. Clicking the Remove Unknowns box will filter out all unknown responses, enabling users to see the relative impact of unknown data and gain a better understanding of the known data.
Note that participation in DIRT is voluntary and varies by state, which means that DIRT data may not provide a complete picture of damages and damage prevention efforts at the state level. Total Unique Damages is based on damages actually reported to DIRT. Ticket Transmission Ratio is based on data provided by participating one call centers. Some states have more robust DIRT reporting than others, and not all one call centers provide ticket transmission data. Thus, care must be taken when comparing state damage metrics against each other or against national figures based on other data sources.
Note: Root Cause Group, Excavator Type, Equipment Type and Work Performed will filter based on their groupings.
The Weight column in the table below accounts for matching reports of the same event. For example, a weight of 0.5 indicates two matching reports, 0.33 indicates three, etc.
This page summarizes the root cause data displaying the root cause connection to facility damaged, excavator type, and equipment type. By hovering the cursor over each bar, a dialogue box will display the number of reported damages. Users can also hover your cursor over the grey pathways to see the number of reported damages between the two corresponding variables. The users can also move the bars to make the specific linkage of interest more visible. These diagrams are intended to quickly demonstrate how root cause variables are linked to what is damaged, who was involved in the damage, and what equipment was used.