Maritime Safety Incidents serve as critical indicators of operational efficiency and risk management within the maritime industry.
Tracking these incidents influences business outcomes such as compliance with regulations, insurance costs, and overall safety culture.
A high frequency of incidents can lead to increased operational costs and reputational damage.
Conversely, a low incident rate reflects effective safety protocols and can enhance stakeholder confidence.
Organizations leveraging data-driven decision-making can better align their strategies with safety benchmarks, ultimately improving their financial health and ROI metrics.
Maritime Safety Incidents belongs to a single KPI group in KPI Depot's database, Maritime, which tracks seventy-four metrics in total. Within that KPI group it holds priority two, placing it among the small handful of metrics the group leans on hardest rather than treating as background context. The co-metrics that follow it in priority order are Lost Time Injury Frequency Rate (LTIFR) at priority three, Emergency Response Readiness at priority four, On-Time Arrival Rate at priority five, Vessel Utilization Rate at priority six, Cargo Damage Rate at priority seven, Fuel Consumption per Mile at priority eight, and Bunker Consumption Rate at priority nine.
Its balanced scorecard placement is internal, which fits the role it plays. Maritime Safety Incidents is a count of what already happened, so on its own it reads as a lagging record of how well safety protocols held up over a period. But sitting at priority two, just ahead of Lost Time Injury Frequency Rate and Emergency Response Readiness, it also functions as an early warning for the rest of the group: a rising count here tends to show up a step later as pressure on those two metrics, since both exist specifically to measure the human and operational fallout once an incident has occurred.
The clearest tension sits with On-Time Arrival Rate, priority five. Schedule pressure is one of the most common reasons a crew cuts a corner, whether that means pushing through weather a more conservative call would have avoided or skipping a step in a pre-departure check to make a berthing window. A KPI group that rewards on-time performance without a floor on safety incidents is quietly asking crews to choose between the two under pressure. Vessel Utilization Rate, priority six, compounds the same dynamic from a different angle, since keeping ships sailing more and idle less also compresses the maintenance and rest windows that safety protocols depend on.
The formula behind Maritime Safety Incidents is just a raw count, total recorded safety incidents, with no built-in denominator. That is the first fork to resolve, because a raw count only means something once you decide what counts as an incident. A near-miss with no injury or damage, a minor equipment failure logged during a routine check, a grounding, and a fatality are all technically incidents, but grouping them into one undifferentiated total treats a scraped hull the same as a loss of life. Most well-run safety programs grade incidents by severity for exactly this reason, and a single blended count hides that structure.
Where the underlying data lives is also fragmented by design. A vessel's own incident log, kept under the safety management system required by the ISM Code, is the first record, but it sits alongside reports made to a flag state or classification society, claims filed with the vessel's P&I club, and any voluntary near-miss reporting a company runs internally. These records rarely reconcile cleanly. An incident reported to a flag state because a regulation requires it may never appear in an internal near-miss log, and an internally logged minor incident may never rise to the level a regulator or insurer needs to see. Building an honest count means deciding which source is authoritative and checking for double counting when the same event appears in more than one.
Because the metric has no denominator, comparing a raw count across vessels, fleets, or years is close to meaningless without normalizing it yourself, whether that means incidents per vessel, per sailing day, or per nautical mile. A larger fleet will always log more incidents than a smaller one even if it is meaningfully safer, and a company that only tracks the raw total has no way to see that.
The segmentation that matters most is by voyage phase and vessel type. Incidents clustered in port during cargo operations point to a different fix than incidents clustered at sea during heavy weather, and a tanker's risk profile is not a bulk carrier's. Splitting the same total count by phase and vessel type turns an opaque tally into something a safety team can actually act on.
The pitfall most likely to distort this number in practice is under-reporting driven by fear of consequences, whether that is a premium increase, a black mark on a vessel's record, or pressure on a captain who wants a clean voyage log. A safety culture that punishes reporting will produce a falling incident count that looks like improving safety and is actually just declining visibility. The opposite failure shows up right after a new reporting system or a safety campaign launches, when the count can jump not because the ship got less safe but because crews are finally logging things they used to let slide. Read any change in this number alongside what changed in how it gets reported, not just what changed on deck.
Many organizations overlook the importance of thorough incident reporting, which can lead to underestimating safety risks.
Enhancing maritime safety requires a multifaceted approach focused on proactive measures and continuous improvement.
We have 4 relevant benchmarks in our benchmarks database.
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Source Excerpt: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | vessels (total losses) | annual industry total / decade total | mixed | 2023 (and prior decade) | global shipping fleet, vessels over 100 gross tons | maritime / shipping | global |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | incidents / casualties | annual industry total | mixed | 2023 | global shipping fleet, reported casualties/incidents | maritime / shipping | global |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | vessels (total losses) | annual time series / decade total | mixed | 2015-2024 | global shipping fleet, vessels over 100 gross tons | maritime / shipping | global |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | vessels (total losses) | annual industry total | mixed | 2024 | global shipping fleet, vessels over 100 gross tons | maritime / shipping | global | over 100,000 ships (100GT+) in global fleet |
Browse the Top Benchmarked KPIs in Maritime
All four benchmark entries tracked for Maritime Safety Incidents come from two sources, Allianz Commercial and the Insurance Information Institute, and comparing them shows how much a maritime safety figure depends on what gets counted and over what stretch of time.
The two Allianz entries are drawn from the same annual safety review but frame their population differently. One anchors to the fleet being measured, ships above a standard gross tonnage threshold used across the industry, which is essentially the denominator you would need to turn a raw count into a rate. The other anchors to the events themselves, described as reported casualties and incidents, a numerator-side framing rather than a fleet-side one. Pulling only one of these and assuming it tells the whole story is a mistake. A fleet-exposure figure and an event tally answer different questions, and a summary that cites the Allianz number without saying which one is quoting an incomplete reference.
The Insurance Information Institute entry spans a full decade rather than a single year, reported as a time series. That matters because a one-year industry total can be shaped heavily by a handful of major casualty events in that specific year, while a decade-long series smooths those spikes out and is the more honest basis for judging whether a given year was typical or an outlier. An insurance-industry source also tends to weight toward claimed or insured losses, which can undercount incidents that never generated a claim, so its figure is not automatically a cleaner count than an industry review's, just a differently biased one.
The most recent Allianz review is also the only one of the four that states an explicit fleet size behind its population, a detail the other three omit. That kind of precision matters, because without a stated fleet size a reader cannot convert any of these totals into a rate at all, and none of the four sources segment by vessel type, such as tanker, bulk carrier, or container ship, or by voyage phase, such as open sea versus maneuvering in port. KPI Depot's own definition of Maritime Safety Incidents is similarly unscoped, a general count of safety-related incidents or accidents. Before treating any external maritime safety figure as a reference point for your own fleet, check whether it counts total losses only or the broader category of casualties and near-miss reports, whether it is a single year or a multi-year average, and whether the underlying fleet size is stated at all, because a raw industry total means very little without knowing the population it was drawn from.
The Maritime KPI group's own worked OKR examples put Maritime Safety Incidents directly into a key result, under the objective to build a stronger maritime safety culture. That objective pairs a year-over-year reduction in recorded incidents with a companion key result on Lost Time Injury Frequency Rate and a third on Emergency Response Readiness, and its own rationale is explicit about why: cutting the incident count protects crew welfare and avoids costly disruption, while improving readiness makes sure the incidents that still happen get contained quickly rather than escalating. A team adapting this for its own fleet would frame the incident reduction as a year-over-year directional goal set at a level its safety leadership is willing to stand behind, paired with a parallel goal to raise Emergency Response Readiness toward full coverage across every vessel rather than a subset, since a safety culture that only reduces incidents without investing in response readiness is optimizing half the objective.
The group's own best-practice guidance reinforces pairing these two rather than tracking either alone, on the reasoning that a team can lower its incident count and still be unprepared for the incidents that do occur. Given the tension this KPI carries with On-Time Arrival Rate and Vessel Utilization Rate elsewhere in the group, a team pursuing this objective has good reason to add a guardrail alongside it: hold schedule and utilization targets steady, or accept a temporary dip in them, rather than letting pressure on those metrics erode the safety gains the objective is meant to protect.
This KPI is associated with the following categories and industries in our KPI database:
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