Index of orders in manufacturing (discontinued), Q1 2012

National level only.

Quarterly.

Not relevant

Non-revised and revised micro data are stored in accordance with Statistics Norway's guidelines for storing of computer files.

Statistics on new orders play an important role in the system for short-term statistics that monitor the economy. The Statistics on new orders are a leading indicator for the changes in production in the short and medium term.

The survey measures in current prices the value of new orders received during the period and the stock of orders at the end of the period.

The statistics were first published in 1975. In 1996, a major revision was conducted in which the number of units was increased from around 380 to around 750 units.

As from Q1 2009, all results will refer to SIC2007 (See explanation under Definitions). The historical series have been recalculated according to this version of SIC, and results dating back to 1995 are available in the Statbank database. Historical series based on SIC2002 are still available, but they will not be updated. The survey is wholly financed by government appropriations.

The results are used in internal controls in other economic trend surveys. Other users include financial and analytical institutions and, to some extent, public institutions (the Ministry of Finance and Norges Bank among others).

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 08 am. Prior to this, a minimum of three months' advance notice is given inthe Statistics Release Calendar.

The order statistics are a leading indicator of future production and turnover in the manufacturing industry and one of several indicators that monitor the performance of the economy. The correlation with the Index of production and Statistics on turnover is utilised for control purposes.

The Statistics Act of 16 June 1989, §§2-1, 2-2 and 2-3.

Not relevant

The population covers all establishments except sole proprietors in the industries textiles and wearing apparel (13-14), paper and paper products (17), chemical and pharmaceutical products (20-21), basic metals (24), fabricated metal products (25), computer and electrical equipment (26-27), machinery and equipment (28), ships boats and oil platforms (301), transport equipment n.e.c (29,30(-301), repair, installation of machinery (33), see Standard Industrial Classification 2007 (SIC2007). The population is defined by the Central Register of Establishments and Enterprises, and establishment is the observation unit in the survey. (See Definitions for a complete definition of establishment and enterprise.)

The survey uses investment data collected by questionnaires from the units included in the sample, in addition to information from the Central Register of Establishments and Enterprises.

The sample includes about 750 establishments. The sample includes all establishments with 100 employees or more, or establishments with a turnover of at least 10 per cent of the publishing level. The remaining units are drawn based on stratification and optimal allocation proportional to the size of the unit measured by the number of employees. The sample does not include establishments with ten employees or fewer.

The survey is based on data collected by questionnaire in Altinn. More than 99 per cent of the respondents prefer to use the Internet. Contact are informed that a new period of the survey is avaliable in Altinn through a text Message.

The establishment's local office normally fills in the questionnaire, but in some cases the head office reports data for several units. Establishments that fail to report in time receive a reminder approximately 5 days after the deadline. A new deadline of seven to nine days is given, depending of which quarter, and a compulsory fine if they do not return the questionnaire within fourteen days after the new deadline.

The data are automatically checked for duplicates and errors in totals. The figures are edited on the basis of a revision programme (for example errors regarding reporting in NOK million or large deviations from previous reported figures). Where there are considerable deviations, the establishment is contacted. In case of extreme deviations, further revisions are carried out.

The sample data are inflated to population level using a ratio estimator. The ratio estimator uses turnover figures from the Manufacturing statistics, structural data as auxiliary variables.

Time series sometimes contain significant seasonal variation that makes it difficult to interpret the results from one period to another. In the survey, seasonally adjusted figures and trend figures are calculated with X12-ARIMA for the manufacturing industry.

For seasonal adjustment, more details are available in About seasonal adjustment

Confidential micro data : According to § 2-4 of the Statistics Act , collected data are subject to secrecy and are to be kept or destroyed in a secure manner. Any use of the data must be in accordance with the rules set out by the Data Inspectorate.

Time series that are not to be published : The publication of data is subject to the provisions of § 2-6 of the Statistics Act . The main rule is that data should not be published if they can be traced back to the respondent, i.e. figures for which less than three respondents make up the foundation for a cell in the table, figures where one respondent represents more than 90 per cent of the total value or figures where two respondents represent at least 95 per cent of the total value.

Unpublished data : Revised data that are not published are subject to secrecy. This implies that they are unavailable to users without distinct approval. Such agreements only apply to internal users.

As from January 2009, SIC2002 is replaced by SIC 2007. Users must ensure that they use results based on the same version of SIC when making comparisons over time.Historical series based on SIC2002 remain available in the Statbank database for the period 1988 to 2008. To get an overview of possible changes in industrial groupings, see the Correspondence Table SN2007, SN2002 .