Operating survey for vessels in water transport
Updated: 16 May 2023
Next update: 16 May 2024
|Income from freight with own and hired vessels||88 375.3|
|Commision and other income||1 869.3|
|Voyage dependent costs and bunker||32 358.9|
|Timecharter paid||37 256.0|
|Bareboat freights paid||1 428.4|
|Other costs||56 775.1|
|Operating profit||9 084.4|
About the statistics
The operating survey of vessels in water transport is a statistics that presents turnover and costs specified by type of service, and freight income by vessel type. The statistics is based on the statistical unit Enterprise and is restricted to enterprises operating in water transport.
Earned gross freight in the form of liner freights of goods or passengers. Liner transport is operated between scheduled, advertised ports of calling on a regular basis. It also includes income from pool agreements for liner services.
Income from renting out the ship in the form of a time charterparty. Under this type of contract, the shipowner places his ship, with crew and equipment at the disposal of the charterer for a period of time. Subject to any restrictions in the contract, the charterer decides the time and quantity of cargo to be carried and the ports of loading and discharging. He is responsible for supplying the ship with bunkers and for the payment of cargo handling operations, port charges, pilotage, towage and ship's agency. The technical operation and navigation of the ship remains the responsability of the shipowner. Any amount of time where the ship si "off hire" is deducted from the agreed period of hire contract. Includes eqivalent income from agency/pool.
Income from renting out the ship in the form of a bareboat charter party to Norwegian charterers. A bareboat charter or demise charter is when the charterers hire or charter the ship for a long period, appoint the master and crew, and pay all running expenses. In other words, the charterer takes over both, the management and commercial operation of the ship.
The industry classification is in line with the revised Norwegian Standard industrial classification (SN07), which is based on the EU’s industry standard NACE Rev. 2.
Prior to the reference year 2007, the industry classification was based on Norwegian Standard industrial classification (SN94), which is based on the EU’s industry standard NACE Rev 1.
Name: Operating survey for vessels in water transport
Topic: Transport and tourism
Division for Structural Business Statistics
Annual statistics published T+17 months after reference period
Collected and revised data are stored securely by Statistics Norway in compliance with applicable legislation on data processing.
Statistics Norway can grant access to the source data (de-identified or anonymised microdata) on which the statistics are based, for researchers and public authorities for the purposes of preparing statistical results and analyses. Access can be granted upon application and subject to conditions. Refer to the details about this at Access to data from Statistics Norway.
The purpose of this survey is to show Norwegian shipping companies activity in foreign going trade. All vessels operated from Norway are included in the survey.
Users include public and private sector agencies, private organisations, individuals and organisations such as the National Accounts and other divisions of Statistics Norway.
The statistics are developed, produced and disseminated pursuant to Act no. 32 of 21 June 2019 relating to official statistics and Statistics Norway (the Statistics Act).
The statistics is part of the national programme for official statistics 2021 - 2023, domain Transport and tourism, sub-domain Sea transport.
The target population for this survey are all active enterprises in the following industry divisions (SN2007):
- 50.1 Sea and coastal passenger water transport
- 50.2 Sea and coastal freight water transport
- 50.3 Inland passenger water transport
The population in this survey is identical to the population in the Structural Business Statistics for the same industry divisions. The survey cover all ship operating activities managed from Norwegian enterprises, regardless of flag status or ownership. It includes all ships chartered in or out from the enterprises in scope and management of shipping pools form Norway.
The survey is based on the same input sources as the Structural Business Statistics, mainly:
- The Central Register of Establishments and Enterprises
- Income statements from submitted tax returns
- The a-ordning (a coordinated service used by employers to report information about income and employees to NAV, Statistics Norway and the Norwegian Tax Administration)
The Central Register of Establishments and Enterprises is used to obtain necessary information about the population. The VAT Register, the Central Coordinating Register for Legal Entities, information from trade organizations and direct input from the enterprises are used to update the Central Register of Establishments and Enterprises.
The population consists of all enterprises in the relevant industry divisions with registered activity in the reference year. The population is divided into subpopulations, called strata, after criteria like industrial classification and number of employees. In some of the strata, all enterprises are always included in the sample. From the remaining strata, a representative selection of enterprises is drawn. All enterprises in this sample are asked to report a full set of Trading Statements and to complete a questionnaire.
Turnover, number of employees and general information related to costs are collected from the Norwegian Tax Administration and the a-ordning. This information is available for the entire population.
This detailed survey of accounting data is combined with the additional information from the various registers and the structural survey of Statistics Norway to form the basis for the estimation of the financial structures of the different industries and the transport and tourism sector as a whole.
Data is collected as part of the data collection for the Structural Business Statistics. The sample survey is conducted in the second quarter after the reference year.
Estimation of figures for the population is based on reported figures from the sample survey. The basis for estimation is the relationship between reported figures for gross freigths/operating expenses and turnover/sum operating expenses as reported in the tax income statements. These estimated ratios are used to calculate gross freights/operating expenses for all enterprises in the non-sample part of the population.
The estimation methodology was changed from 2005 onwards. An established rate-model was introduced in order to have more robust estimation of totals and variation. The new model did not generate significant differences in presented results compared to previous years.
Employees of Statistics Norway have a duty of confidentiality.
Statistics Norway does not publish figures if there is a risk of the respondent’s contribution being identified. This means that, as a general rule, figures are not published if fewer than three units form the basis of a cell in a table or if the contribution of one or two respondents constitutes a very large part of the cell total.
Statistics Norway can make exceptions to the general rule if deemed necessary to meet the requirements of the EEA agreement, if the respondent is a public authority, if the respondent has consented to this, or when the information disclosed is openly accessible to the public.
More information can be found on Statistics Norway’s website under Methods in official statistics, in the ‘Confidentiality’ section.
To ensure confidentiality, the suppression method is used in these statistics.
The survey was named ''Gross freight earnings and operating expenses for vessels in foreign-going trade'' up until and including the reference year 2000. The survey was mainly based on collection of questionnaire forms, where the observation unit was the vessels themselves. There was some uncertainty, related to the actual coverage of vessels registered in foreign ship registers.
Including the reference year 2001 and onwards, the applicable industry classifications has been used to define the population. These classifications has been revised since 2001 and not all industries are comparable backwards on 4- and 5-digit level, this is marked with explanatory notes and/or breakes in the tables affected. The change of classification has no influence on 2- and 3-digit level.
For some industrial subclasses there has been a significant increase in the number of enterprises and local KAUs between 2001 and 2002. This is, to a large extent, due to better register information as a result of the value added tax (VAT) reform and enterprises and local KAUs with low turnover - that were previously not included - are included from 2002.
Updating of industries in the Central Register of Establishments and Enterprises may also have caused revisions for some of the industries. These changes have not been dated back.
The results of a statistical survey may contain some collection and processing errors.
Collection errors occur when the provider of the data gives incorrect answers due to forgetfulness, misunderstanding of questions etc. Processing errors are errors from coding or errors that occur during the transferring of information from the questionnaire to a machine-readable medium or during editing.
Sampling errors are errors that may arise in areas subject to sampling.
Variance for other variables than turnover and employment the statistics are based on estimated figures from sample-based surveys and not on figures from full censuses. When basing the statistics on sample-based surveying instead of a full census, there may be a certain statistical deviation between the properties of the sample population and the population. This imbalance in the sample will normally be reduced by increasing the size of the sample, and will therefore be closely connected to sampling rates percentages and contribution ratios for various key variables.
There are no fixed rules on acceptable sampling rates or contribution ratios. In a homogeneous population, that is a population where the units are similar to one another, a relatively low sampling rate or contribution ratio may give satisfactory results. On the other hand, in heterogeneous populations the sampling rate and contribution ratios should be higher.
Groups that are based on relatively few observations will easily be affected by observations that deviate from the group average. To identify and to help deciding what to do with such extreme observations in the production of the statistics, there has been developed a special programme.
Bias: Sample bias may arise when the distribution on some variables in different parts of the sample is not the same as the corresponding distribution in the population. Stratification is used in the structural business statistics to reduce the possibility of imbalance in the sample. When stratifying the population, it is divided into several unique subpopulations after criteria like industrial classification, turnover and number of employees. This is done to ensure that each subpopulation consists of units that are as homogenous as possible. The sample is then drawn from all of the subpopulations.
Non-responses that are not randomly distributes can still make the sample biased. Post-stratification adjusts any imbalances arising in the distribution between the stratification variables due to non-response.
Non-response: Non-response, that is when the respondent does not return the form or returns the form with incomplete information, will always be an aspect of form-based surveys. In the structural business statistics, non-respondent enterprises are treated the same way as enterprises outside the sample population.
In the structural business statistics, the Central Register of Establishments and Enterprises, the Register of Annual Company Reports in Brønnøysund, the VAT Register and A-ordningen are used in order to define the population and help collect the necessary data.
Errors in these administrative registers - like time gaps in registration, incorrectly identified unit characteristics etc. may therefore be a potential source of uncertainty in the statistics and may for instance have an impact when dividing the population into adequate strata.
A revision is a planned change to figures that have already been published, for example when releasing final figures as a follow-up to published preliminary figures. See also Statistics Norway’s principles for revisions.