338087
/en/energi-og-industri/statistikker/sti/aar-endelige
338087
statistikk
2018-04-17T08:00:00.000Z
Energy and manufacturing
en
sti, Structural business statistics for manufacturing, mining and quarrying, turnover, gross operating profit, value added, employees, wage costs, production value, gross investments, enterprises, establishmentsEnergy and manufacturing, Manufacturing, mining and quarrying , Energy and manufacturing
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Structural business statistics for manufacturing, mining and quarrying

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Key figures

199

billion NOK in value added for local kind of activity units in 2016

Structural business statistics for mining, quarrying and manufacturing. Final figures
2016Change in per cent
2015 - 20162007 - 2016
1At factor prices
Enterprises
Enterprises (number)17 8530.03.9
Persons employed229 393-5.5-10.0
Turnover (NOK million)783 683-5.010.5
Production value (NOK million)706 092-7.18.0
Value added (NOK million)1200 595-4.88.1
Gross operating surplus (NOK million)62 999-4.3..
 
Local kind of activity units
Local kind of activity units (number)19 7470.34.6
Persons employed229 867-4.4-9.5
Compensation of employees (NOK million)137 327-4.512.1
Production value (NOK million)761 447-7.71.4
Value added (NOK million)1199 342-6.14.8

See more tables on this subject

Table 1 
Figures for local kind of activity units. Number of local kind of activity units, persons employed and number of employees by industry division

Figures for local kind of activity units. Number of local kind of activity units, persons employed and number of employees by industry division1
Local kind of activity unitPersons employedCompensation of employees
Number ofNOK million
1The levels of aggregation refers to the Standard Industrial Classification (SIC2007). See NOS D383 for further details.
05, 07, 08, 09.9, 10-33 Manufacturing, mining and quarrying
201519 681240 465143 866
201619 747229 867137 327
05, 07, 08, 09.9 Mining and quarrying
20158035 1793 102
20168134 8242 798
10-33 Manufacturing
201518 878235 286140 764
201618 934225 043134 529
10-12 Food, beverages and tobacco
20152 75251 39425 294
20162 87451 41625 544
13-15 Textiles, wearing apparel, leather
20151 5784 4151 711
20161 6244 6031 870
16 Wood and wood products
20151 86613 1676 038
20161 81213 2826 373
17 Paper and paper products
2015722 9891 887
2016762 8691 973
18 Printing and reproduction
20151 0595 7902 943
20161 0135 4092 726
19-12 Refined petro., chemicals, pharmac.
201534112 9059 578
201634712 8519 481
22-23 Rubber, plastic, mineral prod.
20151 29215 1088 763
20161 25714 9489 004
24 Basic metals
20151459 9126 407
201615610 0406 235
25 Fabricated metal prod.
20152 48624 46213 822
20162 45422 74212 950
26-27 Computer and electrical equipment
201569716 52512 198
201671315 62412 034
28 Machinery and equipment
20151 16323 33418 552
20161 12520 38013 536
29-30 except 30.1 Transport equipment n.e.c
20151813 4692 003
20161893 5322 217
30.1 Building of ships and boats
201548421 17913 509
201646818 01112 876
31-32 Furniture and manufacturing n.e.c
20151 9479 0273 980
20161 9458 8164 063
33 Repair, installation of machinery and equipment
20152 81521 61014 077
20162 88120 52013 647

Table 2 
Figures for local kind of activity units. Main economic figures by industry division

Figures for local kind of activity units. Main economic figures by industry division1
Production valueCost of goods and services consumedValue added at factor pricesGross investments
NOK Million
1The levels of aggregation refers to the Standard Industrial Classification (SIC2007). See NOS D383 for further details.
05, 07, 08, 09.9, 10-33 Mining, quarrying and manufacturing
2015825 187606 078212 20219 989
2016761 447554 691199 34224 788
05, 07, 08, 09.9 Mining and quarrying
201514 8049 4395 381983
201613 7058 7754 9441 019
10-33 Manufacturing
2015810 383596 640206 82119 006
2016747 742545 916194 39923 769
10-12 Food, beverages and tobacco
2015217 160168 94240 7655 811
2016235 509185 44342 1036 616
13-15 Textiles, wearing apparel, leather
20156 9204 3092 625112
20167 7194 8652 868232
16 Wood and wood products
201526 79718 7758 061612
201628 45220 0358 453871
17 Paper and paper products
201513 42511 0002 42792
201614 20011 2742 928374
18 Printing and reproduction
20159 1975 4063 811160
20168 5225 0053 542-10
19-21 Refined petro., chemicals, pharmac.
2015132 631107 21025 5753 292
2016104 49780 55124 0905 193
22-23 Rubber, plastic, mineral prod.
201541 53128 33813 2491 304
201644 73930 86213 9191 465
24 Basic metals
201563 56351 57712 0262 734
201655 30044 38910 9504 392
25 Fabricated metal prod.
201542 95126 51816 460632
201641 44026 27815 196859
26-27 Computer and electrical equipment
201545 48430 08315 465755
201642 06227 80614 317686
28 Machinery and equipment
201583 83158 87425 006964
201652 07936 22915 911839
29-30 except 30.1 Transport equipment n.e.c.
20158 6825 4493 246238
20169 8496 2053 657260
30.1 Building of ships and boats
201561 29945 23316 074766
201648 77634 57914 210487
31-32 Furniture and manufacturing n.e.c
201513 1718 1705 034323
201614 0488 1095 962214
33 Repair, installation of machinery and equipment
201543 74126 75616 9961 210
201640 55124 28816 2941 291

Table 3 
Enterprise figures. Number of enterprises, persons employed and compensation of employees by industry division

Enterprise figures. Number of enterprises, persons employed and compensation of employees by industry division1
EnterprisesPersons employedCompensation of employees
Number ofNOK Million
1The levels of aggregation refers to the Standard Industrial Classification (SIC2007). See NOS D383 for further details.
05, 07, 08, 09.9, 10-33 Manufacturing, mining and quarrying
201517 847242 663144 950
201617 853229 393137 595
05, 07, 08, 09.9 Mining and quarrying
20157064 7692 809
20167104 3982 505
10-33 Manufacturing
201517 141237 894142 142
201617 143224 995135 090
10-12 Food, beverages and tobacco
20152 30952 29525 590
20162 43152 41226 087
13-15 Textiles, wearing apparel, leather
20151 5394 5111 744
20161 5744 7171 909
16 Wood and wood products
20151 75713 2866 091
20161 70013 3046 388
17 Paper and paper products
2015612 8391 666
2016652 7221 714
18 Printing, reproduction
20151 0145 6012 849
20169665 2422 635
19-21 Refined petro., chemicals, pharmac.
201525713 4889 789
201626913 2579 974
22-23 Rubber, plastic, mineral prod.
20151 01316 0119 368
201697415 6469 527
24 Basic metals
201511510 0006 607
201611910 1086 453
25 Fabricated metal products
20152 35823 58113 247
20162 31921 98512 479
26-27 Computer and electrical equipment
201561315 04911 034
201662514 15210 734
28 Machinery and equipment
20151 06923 41818 550
20161 02720 24913 653
29-30 except 30.1 Transport equipment n.e.c.
20151493 4381 991
20161513 4752 182
30.1 Ships, boats and oil plattforms
201542225 70217 209
201640019 61114 264
31-32 Furniture and manufacturing n.e.c.
20151 9099 0183 972
20161 9078 9004 112
33 Repair, installation of machinery
20152 55619 65712 435
20162 61619 21512 980

Table 4 
Enterprise figures. Main economic figures by industry division

Enterprise figures. Main economic figures by industry division1
Production valueCost of goods and services consumedValue added at factor pricesGross investments
NOK Million
1The levels of aggregation refers to the Standard Industrial Classification (SIC2007). See NOS D383 for further details.
05, 07, 08, 09.9, 10-33 Mining, quarrying and manufacturing
2015760 041537 244210 74919 891
2016706 092492 997200 59523 420
05, 07, 08, 09.9 Mining and quarrying
201513 1808 1595 033941
201612 3577 5764 792910
10-33 Manufacturing
2015746 861529 084205 71618 950
2016693 735485 420195 80322 510
10-12 Food, beverages and tobacco
2015192 513145 30839 7655 765
2016202 969153 51141 5016 651
13-15 Textiles, wearing apparel, leather
20156 9264 3042 636118
20167 7594 8512 921234
16 Wood and wood products
201526 18018 1488 072612
201627 89319 3758 552870
17 Paper and paper products
201512 0059 9022 105-
201612 63810 3552 285118
18 Printing and reproduction
20158 9175 2353 701144
20168 2284 8103 443-15
19-21 Refined petro., chemicals, pharmac.
201594 97165 96324 0323 017
201682 22552 24225 0624 777
22-23 Rubber, plastic, mineral prod.
201542 04328 45413 6491 529
201643 51829 48614 0741 607
24 Basic metals
201564 90652 34512 5812 829
201662 68249 69413 0064 298
25 Fabricated metal prod.
201539 90423 78416 147678
201638 68923 98814 734881
26-27 Computer and electrical equipment
201541 20526 28114 989727
201638 40625 01613 451639
28 Machinery and equipment
201583 77458 95024 870913
201652 57536 69915 936730
29-30 except 30.1 Transport equipment n.e.c.
20158 4325 2393 205226
20169 5575 9953 575248
30.1 Building of ships and boats
201573 84353 80120 0501 011
201655 42039 18716 246658
31-32 Furniture and manufacturing n.e.c.
201512 9757 9165 092324
201613 9577 8656 116218
33 Repair, installation of machinery and equipment
201538 26723 45614 8221 057
201637 22022 34914 902595

Table 5 
Persons employed and value added for local kind of activity units. County

Persons employed and value added for local kind of activity units. County
Persons employedValue added at factor prices
2015201620152016
The whole country240 465229 867212 202199 342
 
Østfold14 35714 36811 21412 441
Akershus15 39314 04414 61314 883
Oslo14 57614 33916 46616 695
Hedmark8 3748 1595 8365 476
Oppland8 3278 4595 7366 067
Buskerud17 18316 16517 25314 673
Vestfold13 10512 39711 03311 601
Telemark8 3428 2389 5998 234
Aust-Agder5 0924 8063 4573 112
Vest-Agder13 25511 65815 41110 769
Rogaland27 83025 90323 91021 114
Hordaland26 19124 56123 99320 719
Sogn og Fjordane7 7097 7635 7265 470
Møre og Romsdal22 48921 78218 63217 495
Sør-Trøndelag (-2017)13 51713 17010 57510 440
Nord-Trøndelag (-2017)6 1556 1324 5775 377
Nordland10 53810 2849 2289 776
Troms - Romsa4 7314 7992 8652 934
Finnmark - Finnmárku3 0562 6622 0291 886
 
Svalbard24517846182

About the statistics

Structural business statistics for manufacturing, mining and quarrying give a detailed account of the structure, activity, value added and performance of the enterprises and local kind-of-activity units in these sectors. The statistic is part of the total structural business statistic.

Definitions

Definitions of the main concepts and variables

A local kind-of-activity unit (Local KAUs) is defined as a functional unit, which at a single physical location is engaged mainly in activities within a specific activity group. This definition conforms to the one framed by ISIC Rev. 4.

An establishment is defined the same way as local KAU.

An enterprise is defined as an organisational unit comprising all economic activities engaged in by one and the same owner. Hence an enterprise is a legal entity covering one or more productive units (local KAUs). As these productive units can have different industries enterprise figures and local KAU figures often differ.

The following guidelines are used in order to divide the activity of an enterprise into separate local KAUs:

  • Activities engaged in by an enterprise in different municipalities, are treated as separate local KAUs.
  • Activities in different industry classes (4-digit) can be classified as separate local KAUs when this is necessary for statistical purposes, even if the activity is located at the same site. To divide a local unit into several local KAUs, each of the activities has to be of a certain size, normally engaging at least 5 persons. Some exceptions have been made to this rule, dependent on the feasibility of this on the hands of the respondents.

Auxiliary units are locally distinct units, which mainly provide services for one or more local KAUs in the enterprise of which the unit is a part. Typical examples are central and local administrative offices, sales offices, stock departments etc. These units submit separate reports, but they are not regarded as separate local KAUs. Auxiliary units submit reports on persons employed, compensation of employees, working expenses, investments, etc.. An auxiliary unit is grouped under the same industry as the local KAUs within the enterprise or groups of companies to which the unit mainly render its services. If the unit serves various local KAUs of different industry groups, more auxiliary units may be organised within a locally limited area. The value of the services from such auxiliary units (the value of production) is set equal to compensation of employees and cost of goods and services consumed. These services are entered as cost of goods and services consumed by the receiver (internal delivery).

Local KAUs under construction. In order to make the survey of current investment expenditure in manufacturing, mining and quarrying as complete as possible, investment reports are collected from large local KAUs under construction, even if they do not start operating in the year surveyed. These units are not counted as separate local KAUs.

Characteristics or variables are collected from enterprises using forms or annual accounts. The forms are adjusted to the local KAUs’ connection with enterprises and sizes. One of the main goals of manufacturing statistics is to distribute structural data as value added, employment and investments by region and industry. A multi-unit enterprise will normally conduct activities in several industries and/or in several municipalities. For this reason we collect more characteristics on local KAU level on multi-unit enterprises than single unit enterprise for which there is identical information on enterprise and local KAU.

Employment is the sum of all owners and employees who work in the unit. In manufacturing statistics one person can be considered as employed in more than one unit. The number of persons employed will therefore not be directly comparable to employment numbers in other statistics. Employment figures show an annual mean.

Employees. The Structural Business Statistics are from 2015 based on a new data basis for wage earners. The main source in the period to 2014 was NAV Employee Register (State Register). In 2015 the reporting to this registry coordinated with the reporting of payroll and personnel data to the Tax Administration Authority and Statistics Norway. The common reporting system is called “A-ordning”. “A-ordning” generally provides data with higher quality and accuracy at the individual level, and it covers more wage earner conditions than the State Register. In the State Register, employees who work less than four hours per week on average were not included.

The number of employees in the structural statistics shows an average of the number that has been employed throughout the year.



One person can only have one employment in the same local KAU, but can be registered as employed in several local KAUs at the same time.

Turnover is defined as the enterprise's operating income, minus government subsidies/refunds and profit on disposals (sales etc.) of fixed assets. VAT is not included in turnover.

      Standard
industry form
  Sales of goods and services, liable for VAT   p3000
+ Sales of goods and services, free of VAT   p3100
+ Sales of goods and services, not subjet to VAT   p3200
+ Own-account investments, capitalized   p3500
+ Income from rent, own property   p3600
+ Other income from rent   p3695
+ Income from commissions   p3700
+ Other operating income   p3900
= Turnover    
 

Purchase of goods for resale is the value of all goods bought by the enterprise for resale without further processing.

Total purchase of goods and services is the value of all goods and services bought during the year for resale, for use in the enterprise's own production process or for stock. Purchase of tangible fixed assets is not included.

Compensation of employees includes wages and salaries, national insurance premium, pension payments and other staff expenses. Compensation of employees does not include payment to owners of sole proprietorships or general partnership, or payment to family members without fixed wages.

      Standard
industry form
  Wages and salaries   p5000
+ National insurance premium   p5400
+ Pension payments   p5420
+ Other staff expenses   p5900
= Compensation of employees    
 

Production value is defines as turnover corrected for changes in stock of finished goods, work in progress and goods and services bought for resale.

      Standard
industry
form
  Turnover    
- Changes in stocks, finished good and work in progress   p4295
- Change in stocks, own-account fixed assets   p4995
- Cost of sold goods for resale    
= Production value    
 

This variable is estimated for preliminary figures. For more information, see chapter 3.6.

Cost of goods and services consumed is the value of goods and services consumed as input in the production process, excluding fixed assets (consumption is recorded as consumption of fixed capital).

 

      Standard
industry form
  Commodity cost   p4005
+ Foreign output and subcontract   p4500
- Cost of sold goods for resale    
+ Other reportable renumeration   p5300
+ Work renumaration for owners in general partnership etc.   p5600
+ Freight and transportation costs regarding sales   p6100
+ Energy, fuel etc. regarding production   p6200
+ Rent premises   p6300
+ Lighting, heating   P6340
+ Sanitation, water, sewerage, cleaning etc.   P6395
+ Rent machinery, furniture and fixtures, transport equipment   P6400
+ Tools, furniture and fixtures etc. not for capitalization   p6500
+ Repairs and maintenance buildings   p6600
+ Repairs and other maintenance   p6695
+ Foreign service (accounts, auditing costs, advisory costs etc.)   p6700
+ Eletronic communication, postage etc.   p6995
+ Fuel transport equpiment   p7000
+ Maintenance etc. transport equipment   p7020
+ Insurance and taxes on transport equipment   p7040
+ Car costs, use of private car in business   p7080
+ Private use of business car   p7099
+ Travel , daily and car allowance (reportable remuneration)   p7155
+ Travel costs and daily allowance (not reportable remuneration)   p7165
+ Commissions payable   p7295
+ Sale and advertising costs   p7330
+ Entertaintment costs   p7370
+ Subscription   p7490
+ Insurance premium   p7500
+ Guarantee and service cost   p7565
+ Licence, paten cost, royalty etc.   p7600
+ Other costs   p7700
= Cost of goods and services consumed    

Value added at market prices is the sum of production value minus the cost of goods and services consumed.

Value added at factor prices is the sum of value added at market prices plus subsidies and minus taxes (except VAT).

Gross operating surplus is the sum of value added (at factor prices) minus compensation of employees.

Gross investment is defined as acquisition of fixed assets as buildings and constructions, machines, tools, furniture and fixtures, and cars and other means of transportation (except for private use) - both new and used. Improvements are added, whereas sales of used capital stock are deducted. Gross investments are stated with deductions for input VAT.

Standard classifications

Norwegian Standard Industrial Classification (SIC2007), which is based on the industrial classifications approved by the EU (NACE Rev.2 ) and the UN (ISIC Rev.4).

The survey is also classified according to EUROSTAT's special aggregates for technology levels found in the Eurostat manual on the production of structural business statistics. Four technology level categories are included in the StatBank:

High technology manufacturing covers the industries 21, 26 and 30.3.
Medium-high technology manufacturing covers the industries 20, 25.4, 27, 28, 29, 30.2, 30.4, 30.9 and 32.5.
Medium-low technology manufacturing covers the industries 18.2, 19, 22, 23, 24, 25.1, 25.2, 25.3, 25.5, 25.6, 25.7, 25.9, 30.1 and 33.
Low technology manufacturing covers the industries 10, 11, 12, 13, 14, 15, 16, 17, 18.1, 31, 32.1, 32.2, 32.3, 32.4 and 32.9

Administrative information

Name and topic

Name: Structural business statistics for manufacturing, mining and quarrying
Topic: Energy and manufacturing

Responsible division

Division for Structural Business Statistics

Regional level

Preliminary figures are published on national level.

Final figures are published both on a national level and on county level. Figures on municipality level can be found in StatBank.

Frequency and timeliness

Annually.

Preliminary figures are published 10 months after the end of the reference year. Only enterprise figures.
Final figures are published within 18 months after the end of the reference year. Both enterprise and Local KAU figures.

International reporting

Annual reports to EUROSTAT.

Microdata

 Micro data is stored short-term in SAS program and long-term in txt format.

Background

Background and purpose

The manufacturing statistics offer a detailed overview on activity in the sector, based on accounting figures.

It was published for the first time in 1876, and has been published in its current form since 1997.

The first reference year with published preliminary figures, is 2007.

Users and applications

Manufacturing statistics are produced with background in the need for data for the annual national accounts, and in accordance to EU regulations for structural statistics.

Public authorities, professional and industrial organisations, researchers and research institutions and private users are some of the most important users of the manufacturing statistics.

Equal treatment of users

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. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

As not all local KAUs within manufacturing are included in the survey population, there will be some differences towards other surveys which include employment figures. Files including all active local KAUs exist back to the reference year 1998.

Legal authority

Statistical Act §§2-2, 2-3 and 3-2.

EEA reference

Regulation (EC) no. 295/2008 of 11 March 2008 concerning structural business statistics (recast). In addition, Norway undertakes, through the EEA agreement, to adhere to EU Council regulation (EF) no. 1893/2006 of 20 December 2006 on NACE Rev. 2.

Production

Population

The annual manufacturing statistics cover Local KAUs (kind-of-activity units) in manufacturing, mining and quarrying, as defined by the Norwegian Standard Industrial Classification (SIC). Information on oil and gas extraction is not included.

Data sources and sampling

The manufacturing statistics are prepared based on information from questionnaires and data from administrative registers. A form and a copy of the standard financial report that the tax authorities collect from the enterprises (the Standard Industry Form) are therefore collected from all enterprises with manufacturing activity with at least ten employees. The Standard Industry Form covers income statement and balance sheet which enterprises are required to report to the tax authorities.

For the remaining local KAUs total figures are estimated based on annual accounts, employment and sales. All joint-stock companies are required to send their annual accounts to the Norwegian Register of Company Accounts in Brønnøysund. The annual accounts include the income statement as well as the balance sheet, but the specifications vary and are not as detailed as the Standard Industry Form.

The majority of entries to the Central Register of Establishments and Enterprises of Statistics Norway have been taken from the Central Coordinating Register for Legal Entities in Brønnøysund. The Central Coordinating Register for Legal Entities contains all enterprises in the Value Added Tax Register of the Directorate of Taxes and in the Register of Employers of the National Insurance Administration.

The statistical population consists of all active enterprises in the reference year. Enterprises without local KAU's are excluded from final figures, but may sometimes be included in the preliminary figures. The population is divided into strata (nonoverlapping, exhaustive groups) by industry divisions and employment. Some groups are sampled more frequently, some less.

Detailed accounting data from the sample and administrative data form the basis for calculating the economic structures in the industry.

Collection of data, editing and estimations

The questionnaires are sent out in May, at a time where most of the enterprises have finished their Standard Industry Form, to the sample. Those who do not respond within 6 months receive a compulsory fine.

For other enterprises, administrative data is used.

The data collected are sent through a thorough revision on micro level. Consistency controls are conducted between items on the form, against the previous year, against production statistics, against the Central Register of Establishments and Enterprises, against the Standard Industry Form and against the annual reports.

For preliminary figures particularly critical controls are industry division, employment and sales. The figures will not be revised as thoroughly as final figures.

For final figures particularly critical controls include, amongst others, industry division, employment, sales, compensation of employees and investments.

For enterprises in the sample, where we have a complete Standard Industry form and questionnaire, no variables are estimated. For enterprises where we only have a Standard Industry form the questionnaire variables are estimated. For other enterprises all variables, except turnover and employment, are estimated on the basis of sample figures.

Turnover and employment are considered as known variables for all enterprises and are therefore used as a basis for computing missing variables. Previously an industry mean based on sample units was used to estimate missing data for non-sample units (ratio estimates). As of the statistical year 2011 the method is based on finding a sample unit similar to the non-sample unit to be estimated, based on a set of criteria, and using the sample-unit to estimate the missing values (nearest neighbour estimation). The nearest neighbour criterion is industry combined with the turnover/employment ratio, in that order.

For preliminary figures, the production value will be estimated with background in the relationship between production value and sales in the industry division from last reference year. Total purchase of goods and services, compensation for employees and gross investments are collected from administrativ data sources when available. When not, total purchase of goods and services and compensation for employees will be estimated with the same method used for the production value. Gross investments are not estimated.

Seasonal adjustment

Not relevant

Confidentiality

If less than three units are represented in the content in a table cell, the figures are not published. The reason is the risk that the units can be identified. This is especially critical when publishing figures at a low geographic level. This is resolved by suppressing these figures in the table.

Comparability over time and space

Preliminary figures are published before the end of revision and may therefore deviate some from the final figures, which are published within 18 months of the end of the reference year.

For the final figures , data files exist electronically back to the reference year 1966.

Mainly, the data are comparable when it concerns coverage and variables, but there have been changes in the Standard Industrial Classification, sample size and minor adjustments in a few definitions.

A new version of Norwegian industry classification (SIC2007) was implemented in January 2009. Structural data for manufacturing, mining and quarrying will be affected as from the publishing of preliminary figures for 2008. This will affect the comparability with previous years.

Due to a reclassification of enterprises from industry to service activities the 2008-figures have been recalculated without these enterprises, so that 2008 and 2009 are comparable. The tables below show the change in per cent (2008-2009) when the enterprises are excluded and included.

 

Real change (with reclassification)

Gross change (without reclassification)

Effect of moving enterprises

    Per cent  
05, 07, 08, 09.9, 10-33 Mining, quarrying and manufacturing      
Number of persons employed -5,2% -7,4% 2,2%
Value added at factor cost -14,4% -16,8% 2,3%
10-33 Industri      
Number of persons employed -5,1% -7,4% 2,2%
Value added at factor cost -14,2% -16,6% 2,4%
30.1 Ships, boats and oil platforms      
Number of persons employed -7,4% -26,1% 18,7%
Value added at factor cost -11,5% -33,4% 21,9%
33 Repair, installation of machinery      
Number of persons employed -7,3% -12,9% 5,6%
Value added at factor cost 1,2% -3,2% 4,5%

While working with 2010-figures we have corrected and updated 2009-figures.

Accuracy and reliability

Sources of error and uncertainty

Measurement errors are errors that occur during data collection and are caused by the survey instrument: the form, questionnaire or measuring device used for data collection may lead to the recording of wrong values. The respondent may also consciously or unconsciously, give erroneous data or interviewers may influence the answers given by respondents. A typical error may be use of a wrong scale, such as sums given in crowns (kroner) instead of thousand crowns.

Processing errors are errors introduced during data processing in Statistics Norway, such as coding, data entry, data editing, imputation etc. Typical examples are wrong interpretation of digits and letters written on paper forms during optical scanning, for instance that 1 is interpreted as 7, or that wrong assessments cause correct figures to be interpreted as wrong and being corrected to a wrong number.

Non response errors are errors caused by unit non-response, i.e. that the unit (for instance an individual or a company) has failed to respond, or item non response, i.e. that the unit has failed to respond to some but not all the questions in the survey.

Since we receive a response from 95 per cent of the units in the sample, the problem with non-response errors are small.

Sampling errors arise from the fact that the estimates are based on a sample and not a census of the entire population.

Under this residual heading we find coverage errors and model assumption errors. Coverage errors (or frame errors) are due to divergences between the target population and the frame population. Coverage errors comprise over coverage, under coverage, delayed updating or classification errors in the survey frame. Model assumption errors are errors in seasonal adjustment of time series. These errors are due to deviation between the true model and the assumed model used in the seasonal adjustment. There is also a chance of errors linked to the use of administrative data.

Revision

Not relevant