Lost Time Injury Frequency Rate (LTIFR) serves as a critical performance indicator for workplace safety, directly influencing employee well-being and operational efficiency.
High LTIFR values indicate potential safety failures, leading to increased costs and decreased productivity.
Conversely, low LTIFR reflects a strong safety culture, which can enhance employee morale and retention.
Organizations that prioritize safety often see improved financial health and reduced insurance premiums.
By tracking this key figure, companies can make data-driven decisions that align with their strategic goals and improve overall business outcomes.
LTIFR is one of the most connected metrics in the library. It appears in fourteen of KPI Depot's KPI groups, and it leads several of them. In the Mining, ISO 45001, and ISO 18001 KPI groups it is the top-priority metric. In Natural Gas it is second, behind the broader Health, Safety, and Environment Incident Rate. In industry KPI groups like Industrials, Oil & Gas, and Shipping it sits lower down, one safety signal among operational and financial ones.
Its balanced scorecard placement is the internal process perspective, which fits how the KPI groups use it: a lagging confirmation that the safety system worked, sitting downstream of leading indicators. The companions that recur across these KPI groups are Total Recordable Injury Frequency Rate (TRIFR or TRIR), Near Miss Frequency Rate, and Safety Training Completion Rate. The relationship to TRIFR is the one to understand first. TRIFR counts all recordable injuries, while LTIFR counts only the subset serious enough to cost time away from work. A site can move one without moving the other.
That gap is also the tension. Because LTIFR keys on lost time specifically, it can be lowered with no real change in safety, by moving injured workers onto modified duty so the case never books as lost time. Return to Work Rate and TRIR are what expose this. If LTIFR falls while TRIR holds steady, the injuries did not stop, they were reclassified. The leading metrics in these KPI groups, Near Miss Frequency Rate and Safety Training Completion Rate, are the ones that move LTIFR for real reasons, by catching hazards before they become lost-time injuries.
The formula is the number of lost time injuries times one million, divided by total hours worked, and every term in it hides a decision.
Lost time injury is the first. You have to set the threshold for when an injury counts. An injury that keeps a worker out beyond the day of the incident is the common line, but whether the clock starts the next calendar day or the next scheduled shift, and whether restricted or modified duty counts as lost time, are choices that change the numerator. Write the definition down and hold it constant, because the easiest way to improve LTIFR on paper is to quietly move this line.
The multiplier is the second. One million hours is the basis these KPI groups assume, but North American reporting often states the rate on a per-hundred-worker basis instead, roughly the hours a hundred full-time employees log in a year, and a rate on one basis is off by a wide factor from the other. Confirm the basis before any comparison.
The denominator is the third. Total hours worked should be actual hours, not scheduled or paid hours, and the decision that trips people up is contractors. If contractor injuries can enter your numerator, contractor hours have to be in your denominator, or the rate is inflated. On a site that runs heavily on contract labor, this one choice moves the metric more than most real safety changes do.
Segment before you average. A single site-wide LTIFR blends crews with very different exposure. Break it out by site, by contractor versus direct employee, and by function before drawing any conclusion about where the risk actually sits.
Many organizations overlook the nuances of LTIFR, leading to misinterpretations that can mask underlying safety issues.
Enhancing LTIFR requires a multifaceted approach focused on prevention and employee engagement.
We have 8 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | average | 2024 | offshore wind | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per million man-hours | frequency rate | 2020 | offshore oil and gas | United Kingdom |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per 1,000,000 man-hours | frequency rate | 2023 | drilling contractors | drilling | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per one million hours worked | average | 2023 | IMCA contractor Members | marine contracting | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per one million hours worked | average | 2023 | IMCA contractor Members | marine contracting | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per million hours worked | average | 2023 | Member Companies and their contractor employees | upstream oil and gas | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per million hours worked | average | 2023 | Member Companies and their contractor employees | upstream oil and gas | global |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | per million hours worked | average | 2023 | Member Companies and their contractor employees | upstream oil and gas | global |
Browse the Top Benchmarked KPIs in Mining
LTIFR looks like a standardized metric and is not. The sources KPI Depot tracks for it, the Energy Institute, Offshore Energies UK, the International Association of Drilling Contractors, the International Marine Contractors Association, and the International Association of Oil and Gas Producers, each publish a frequency rate under the same name while defining it differently in ways that change what the number means.
Start with the numerator. Some of these bodies fold fatalities and lost-work-day cases explicitly into the count of lost time injuries, while others describe the lost time injuries on their own. A figure that builds fatalities into the count is not comparable to one that treats them separately, before any other difference is even considered.
Then the denominator. The metric is expressed per million hours worked, but how those hours are counted is not uniform. At least one of these sources bases its man-hours on a defined twelve-hour offshore working day, a convention that shifts the denominator, and therefore the rate, against a source that counts actual hours.
Finally scope. These figures describe very different populations: offshore wind, the UK continental shelf, global drilling contractors, marine contracting members, and onshore versus offshore upstream operations. Same metric name, different workforces, different risk profiles, different years. The practical consequence is that there is no single typical LTIFR to read off these sources, and any benchmark you do use has to be matched to your own industry, your own definition of lost time, and your own way of counting hours before it tells you anything. That matching is the actual work, and it is why a labeled figure lifted from a search result is usually worse than no figure at all.
LTIFR shows up as a key result in the safety objectives its groups actually define. In the Mining KPI group it anchors a zero-harm objective, where the direction is to bring LTIFR and TRIFR down together while Safety Training Completion Rate and Emergency Response Preparedness climb, the lagging and leading metrics moving in tandem so the reduction reflects prevention rather than luck. The Health and Safety Management KPI group uses it the same way, under a proactive risk-prevention objective that pairs it with Hazard Identification Rate and Near Miss Frequency Rate.
The structural point both share is that LTIFR is never the only key result. Because it is a lagging outcome, the groups ladder it to an objective that also commits to the leading behaviors that drive it, so a team cannot claim progress by reclassifying injuries. Any specific reduction target is an internal goal a team sets for a cycle, not a level any source calls normal.
This KPI is associated with the following categories and industries in our KPI database:
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LTIFR measures the number of lost time injuries per million hours worked, providing insight into workplace safety. It helps organizations assess their safety performance and identify areas for improvement.
LTIFR is calculated by multiplying the number of lost time injuries by one million, then dividing by the total hours worked. This formula standardizes the metric, allowing for comparisons across different organizations and industries.
A good LTIFR typically falls below 2.0, indicating effective safety measures. However, benchmarks can vary by industry, so it’s essential to compare against relevant standards.
LTIFR should be reviewed regularly, ideally on a monthly basis. Frequent monitoring allows organizations to identify trends and take timely action to address safety concerns.
Implementing comprehensive safety training and fostering open communication about safety concerns can significantly reduce LTIFR. Regular safety audits and data analysis also play crucial roles in identifying and mitigating risks.
Yes, higher LTIFR rates can lead to increased insurance premiums. Insurers often assess safety performance when determining coverage costs, making LTIFR a critical metric for financial health.
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