375861
/en/energi-og-industri/statistikker/sti/aar-endelige
375861
statistikk
2019-04-15T08:00:00.000Z
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

As from 5 December 2019 the statistics ‘Structural business statistics for manufacturing, mining and quarrying’ will be published with ‘Business statistics’.

Updated

Next update

Not yet determined

Key figures

3.8 %

change in value added within mining, quarrying and manufacturing in 2017

Structural business statistics for mining, quarrying and manufacturing. Final figures
2017Change in per cent
2016 - 20172007 - 2017
1At factor prices
Enterprises
Enterprises (number)17 699-0.93.0
Persons employed226 323-1.3-11.2
Turnover (NOK million)812 6083.714.6
Production value (NOK million)733 1503.812.2
Value added (NOK million)1204 7982.110.3
Gross operating surplus (NOK million)65 5554.1..
 
Local kind of activity units
Local kind of activity units (number)19 614-0.73.9
Persons employed226 883-1.3-10.7
Compensation of employees (NOK million)139 0011.213.4
Production value (NOK million)805 4985.87.3
Value added (NOK million)1206 9103.88.7

See selected tables from this statistics

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
201619 747229 867137 327
201719 614226 883139 001
05, 07, 08, 09.9 Mining and quarrying
20168134 8242 798
20178104 8472 842
10-33 Manufacturing
201618 934225 043134 529
201718 804222 036136 159
10-12 Food, beverages and tobacco
20162 87451 41625 544
20172 95151 62526 821
13-15 Textiles, wearing apparel, leather
20161 6244 6031 870
20171 5934 7731 984
16 Wood and wood products
20161 81213 2826 373
20171 76913 9106 754
17 Paper and paper products
2016762 8691 973
2017742 8992 031
18 Printing and reproduction
20161 0135 4092 726
20179395 2002 739
19-12 Refined petro., chemicals, pharmac.
201634712 8519 481
201734612 9969 879
22-23 Rubber, plastic, mineral prod.
20161 25714 9489 004
20171 25715 3869 451
24 Basic metals
201615610 0406 235
201715210 0706 812
25 Fabricated metal prod.
20162 45422 74212 950
20172 38222 20113 053
26-27 Computer and electrical equipment
201671315 62412 034
201769515 31912 005
28 Machinery and equipment
20161 12520 38013 536
20171 07318 05712 900
29-30 except 30.1 Transport equipment n.e.c
20161893 5322 217
20171833 6002 294
30.1 Building of ships and boats
201646818 01112 876
201745516 81212 045
31-32 Furniture and manufacturing n.e.c
20161 9458 8164 063
20171 9479 0394 341
33 Repair, installation of machinery and equipment
20162 88120 52013 647
20172 98820 14913 050

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
2016761 447554 691199 34224 788
2017805 498591 079206 91024 258
05, 07, 08, 09.9 Mining and quarrying
201613 7058 7754 9441 019
201714 4609 3655 104917
10-33 Manufacturing
2016747 742545 916194 39923 769
2017791 038581 715201 80623 341
10-12 Food, beverages and tobacco
2016235 509185 44342 1036 616
2017243 036189 29245 5737 587
13-15 Textiles, wearing apparel, leather
20167 7194 8652 868232
20178 3875 3733 027233
16 Wood and wood products
201628 45220 0358 453871
201729 16620 3998 800838
17 Paper and paper products
201614 20011 2742 928374
201714 48211 5032 981461
18 Printing and reproduction
20168 5225 0053 542-10
20178 5174 9563 573165
19-21 Refined petro., chemicals, pharmac.
2016104 49780 55124 0905 193
2017127 086100 97726 2403 753
22-23 Rubber, plastic, mineral prod.
201644 73930 86213 9191 465
201746 83332 33614 5291 507
24 Basic metals
201655 30044 38910 9504 392
201771 01656 75914 2914 561
25 Fabricated metal prod.
201641 44026 27815 196859
201740 90725 71615 231896
26-27 Computer and electrical equipment
201642 06227 80614 317686
201743 68429 45814 420775
28 Machinery and equipment
201652 07936 22915 911839
201746 01831 15414 926615
29-30 except 30.1 Transport equipment n.e.c.
20169 8496 2053 657260
201710 7526 8673 897270
30.1 Building of ships and boats
201648 77634 57914 210487
201745 37033 47111 925282
31-32 Furniture and manufacturing n.e.c
201614 0488 1095 962214
201714 2008 5105 720234
33 Repair, installation of machinery and equipment
201640 55124 28816 2941 291
201741 58424 94416 6741 165

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
201617 853229 393137 595
201717 699226 323139 244
05, 07, 08, 09.9 Mining and quarrying
20167104 3982 505
20176984 3842 523
10-33 Manufacturing
201617 143224 995135 090
201717 001221 939136 721
10-12 Food, beverages and tobacco
20162 43152 41226 087
20172 48352 44627 074
13-15 Textiles, wearing apparel, leather
20161 5744 7171 909
20171 5414 8532 017
16 Wood and wood products
20161 70013 3046 388
20171 65813 9576 799
17 Paper and paper products
2016652 7221 714
2017662 7431 755
18 Printing, reproduction
20169665 2422 635
20178945 0392 652
19-21 Refined petro., chemicals, pharmac.
201626913 2579 974
201726513 34810 537
22-23 Rubber, plastic, mineral prod.
201697415 6469 527
201796615 8299 832
24 Basic metals
201611910 1086 453
201711710 2967 145
25 Fabricated metal products
20162 31921 98512 479
20172 25621 58712 773
26-27 Computer and electrical equipment
201662514 15210 734
201760813 96110 833
28 Machinery and equipment
20161 02720 24913 653
201797717 88312 929
29-30 except 30.1 Transport equipment n.e.c.
20161513 4752 182
20171473 6562 332
30.1 Ships, boats and oil plattforms
201640019 61114 264
201738218 22913 039
31-32 Furniture and manufacturing n.e.c.
20161 9078 9004 112
20171 9099 0904 366
33 Repair, installation of machinery
20162 61619 21512 980
20172 73219 02212 637

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
2016706 092492 997200 59523 420
2017733 150515 592204 79823 531
05, 07, 08, 09.9 Mining and quarrying
201612 3577 5764 792910
201712 8747 9594 921753
10-33 Manufacturing
2016693 735485 420195 80322 510
2017720 276507 633199 87722 778
10-12 Food, beverages and tobacco
2016202 969153 51141 5016 651
2017210 150159 23342 7587 148
13-15 Textiles, wearing apparel, leather
20167 7594 8512 921234
20178 4405 3853 067232
16 Wood and wood products
201627 89319 3758 552870
201728 90420 0868 851841
17 Paper and paper products
201612 63810 3552 285118
201712 56510 3432 224171
18 Printing and reproduction
20168 2284 8103 443-15
20178 2804 8043 488160
19-21 Refined petro., chemicals, pharmac.
201682 22552 24225 0624 777
201791 51760 89225 5084 083
22-23 Rubber, plastic, mineral prod.
201643 51829 48614 0741 607
201744 77230 56214 2481 627
24 Basic metals
201662 68249 69413 0064 298
201777 14959 00818 1574 497
25 Fabricated metal prod.
201638 68923 98814 734881
201738 23423 20615 068826
26-27 Computer and electrical equipment
201638 40625 01613 451639
201739 79026 29113 693760
28 Machinery and equipment
201652 57536 69915 936730
201745 83531 49214 405575
29-30 except 30.1 Transport equipment n.e.c.
20169 5575 9953 575248
201710 5176 6643 866259
30.1 Building of ships and boats
201655 42039 18716 246658
201750 34236 88913 479474
31-32 Furniture and manufacturing n.e.c.
201613 9577 8656 116218
201714 3608 4505 939231
33 Repair, installation of machinery and equipment
201637 22022 34914 902595
201739 42024 32815 125896

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
2016201720162017
The whole country229 867226 883199 342206 910
 
Østfold14 36814 27712 44113 320
Akershus14 04413 64714 88315 325
Oslo14 33914 29216 69515 959
Hedmark8 1598 2065 4765 782
Oppland8 4599 0146 0676 692
Buskerud16 16515 46814 67313 474
Vestfold12 39712 15611 60111 195
Telemark8 2388 0988 2349 196
Aust-Agder4 8064 7463 1122 979
Vest-Agder11 65811 08710 76910 357
Rogaland25 90325 30521 11423 415
Hordaland24 56123 39120 71922 187
Sogn og Fjordane7 7637 8495 4705 863
Møre og Romsdal21 78221 40417 49518 505
Sør-Trøndelag (-2017)13 17013 21310 44011 630
Nord-Trøndelag (-2017)6 1326 1105 3774 875
Nordland10 28410 9129 77610 301
Troms - Romsa4 7994 9792 9343 599
Finnmark - Finnmárku2 6622 5731 8862 271
 
Svalbard178156182-15

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