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where IDART - notal number of recordable injuries and illnesses that resulted in days
away from work, restricted work activity and/or job transfer.
Using the previous company examples, assume that the second recordable
incident resulted in limited or restricted work activity that necessitated a job transfer

to a different position in the company. The first was a broken leg that had only lost
time associated with it (no restriction or transfer). The calculations would look like
this:
2 200 000
DART Rate   10 , 81 .
37000

What is now known is that for every 100 employees, 10,81 incidents resulted
in lost or restricted days or job transfer due to work related injuries or illnesses.

5) Severity Rate (S Rate)
Severity Rate – a mathematical calculation that describes the number of lost
days experienced as compared to the number of incidents experienced.
The severity rate is a calculation that gives a company an average of the
number of lost days per recordable incident. Please note, that very few companies use
the severity rate as a calculation, as it only provides an average. The calculation is
made by dividing the total number of lost work days by the total number of
recordable incidents.

D
S Rate . ) 5 . 1 (
I RI
Again, using our previous company as an example, there were 5 lost work days
and two recordable incidents. So, the severity rate calculation would look like this:
5
S Rate   . 5 , 2
2

What is now known is that for every recordable incident at the company, an
average of 2,5 days will be lost due to those work related injuries and illnesses.

Summary:
Incident rates, of various types, are used throughout industry. Rates are
indications only of past performance (lagging indicators) and are not indications of
what will happen in the future performance of the company (leading indicators).
Incident rates have been standardized, so that regulatory agencies can compare
statistically significant data, and determine where industries may need additional
program assistance. Regulatory agencies use the recordable incident rates to
determine where different classifications of companies (manufacturing, food
processing, textiles, machine shops, etc.) compare to each other with regard to past
safety performance.

In addition, statistical analysis allows to establish the dependence of injury on
many factors:
1. Age. The significant value of Cf is observed for young workers, although
they have good health, good responses, but they are often at risk and are a lack of

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