Many days at sea for offshore supply vessels
Vessels in offshore supply were hired for 345 days on average in 2006. For tugs, car ferries and general cargo the number of operating days were 292, 321, and 276 respectively.
Tankers, which include gas, oil, and chemical tankers, spent 243 operating days at sea on average, while passenger ships had a lower number of operating days with 185. The low number of days for passenger ships is mainly due to the large number of small cruise and charter boats that operate in parts of the year.
Car ferries travel longest distance
Total sailed distance is by far highest for car ferries with 10.2 million nautical miles in 2006. Passenger ships sailed a total of 6.2 million nautical miles while ships carrying general cargo sailed a total of 3.8 million nautical miles.
Turnover highest in offshore supply
Offshore supply was the largest vessel group measured by turnover with a turnover of NOK 4.3 billion in 2006. Together with tugs these two groups had a turnover of NOK 5.4 billion, accounting for 40 per cent of the total turnover in short sea and domestic sea transport in 2006. Car ferries and passenger ships had a turnover of NOK 3.6 and NOK 3.4 billion respectively in 2006.
Crew costs represent largest operating costs
Crew costs made up the greatest share of total costs with 37 per cent in 2006. The crew costs vary between vessel groups and the share was lowest for vessel groups that had the highest levels of time charter costs. This is particularly the case for bulk vessels and general cargo ships. Other major cost items are bunker/fuel and depreciation, making up 14 and 13 per cent of total costs respectively.
Turnover and estimation
Public purchases of transport services are included in the turnover. This is a dominating factor in the turnover of passenger and car ferries and results in different levels of turnover than in Statistics Norway’s structural business statistics.
Financial and non-financial variables are generated using different estimation methods. The end result of this approach is that the data sets are not fully comparable.