295451
/en/energi-og-industri/statistikker/sti/aar-endelige
295451
statistikk
2017-06-02T08:00:00.000Z
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, establishmentsManufacturing, mining and quarrying , Energy and manufacturing
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Structural business statistics for manufacturing, mining and quarrying

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Key figures

212

billion NOK in value added for local kind of activity units in 2015

Structural business statistics for mining, quarrying and manufacturing. Final figures
2015Change in per cent
2014 - 20152007 - 2015
1At factor prices
Enterprises
Enterprises (number)17 8470.83.9
Persons employed242 6630.2-4.8
Turnover (NOK million)825 0474.016.4
Production value (NOK million)760 0412.316.3
Value added (NOK million)1210 7490.313.5
Gross operating surplus (NOK million)65 7992.8..
 
Local kind of activity units
Local kind of activity units (number)19 6811.24.3
Persons employed240 465-0.1-5.4
Compensation of employees (NOK million)143 866-1.217.4
Production value (NOK million)825 187-0.99.9
Value added (NOK million)1212 2020.811.5

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
201419 454240 603145 574
201519 681240 465143 866
05, 07, 08, 09.9 Mining and quarrying
20147765 1423 146
20158035 1793 102
10-33 Manufacturing
201418 678235 461142 428
201518 878235 286140 764
10-12 Food, beverages and tobacco
20142 57749 67225 069
20152 75251 39425 294
13-15 Textiles, wearing apparel, leather
20141 5214 2291 672
20151 5784 4151 711
16 Wood and wood products
20141 87213 2495 913
20151 86613 1676 038
17 Paper and paper products
2014802 9051 736
2015722 9891 887
18 Printing and reproduction
20141 1315 5992 986
20151 0595 7902 943
19-12 Refined petro., chemicals, pharmac.
201432112 9599 474
201534112 9059 578
22-23 Rubber, plastic, mineral prod.
20141 28814 9938 619
20151 29215 1088 763
24 Basic metals
20141389 4785 978
20151459 9126 407
25 Fabricated metal prod.
20142 49325 29714 523
20152 48624 46213 822
26-27 Computer and electrical equipment
201472716 34312 629
201569716 52512 198
28 Machinery and equipment
20141 21123 30917 910
20151 16323 33418 552
29-30 except 30.1 Transport equipment n.e.c
20141813 7132 143
20151813 4692 003
30.1 Building of ships and boats
201449523 45815 770
201548421 17913 509
31-32 Furniture and manufacturing n.e.c
20141 9698 9533 954
20151 9479 0273 980
33 Repair, installation of machinery and equipment
20142 67421 30414 050
20152 81521 61014 077

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.
Corrected 19 June
05, 07, 08, 09.9, 10-33 Mining, quarrying and manufacturing
2014832 339615 172210 53422 667
2015825 187606 078212 20219 989
05, 07, 08, 09.9 Mining and quarrying
201415 31810 5714 7551 178
201514 8049 4395 381983
10-33 Manufacturing
2014817 021604 601205 77921 489
2015810 383596 640206 82119 006
10-12 Food, beverages and tobacco
2014196 245149 58139 5837 015
2015217 160168 94240 7655 811
13-15 Textiles, wearing apparel, leather
20146 6774 1002 586148
20156 9204 3092 625112
16 Wood and wood products
201425 04517 7157 364662
201526 79718 7758 061612
17 Paper and paper products
20149 4647 2322 233349
201513 42511 0002 42792
18 Printing and reproduction
20149 2415 4793 775334
20159 1975 4063 811160
19-21 Refined petro., chemicals, pharmac.
2014138 494119 04919 5263 551
2015132 631107 21025 5753 292
22-23 Rubber, plastic, mineral prod.
201440 39027 03613 3861 232
201541 53128 33813 2491 304
24 Basic metals
201460 05049 33610 7371 774
201563 56351 57712 0262 734
25 Fabricated metal prod.
201446 43928 61317 8561 344
201542 95126 51816 460632
26-27 Computer and electrical equipment
201445 71028 78217 002681
201545 48430 08315 465755
28 Machinery and equipment
201498 13871 47526 7051 172
201583 83158 87425 006964
29-30 except 30.1 Transport equipment n.e.c.
20148 5125 4303 088271
20158 6825 4493 246238
30.1 Building of ships and boats
201474 89055 69319 2451 060
201561 29945 23316 074766
31-32 Furniture and manufacturing n.e.c
201413 5728 3875 207269
201513 1718 1705 034323
33 Repair, installation of machinery and equipment
201444 15426 69417 4861 626
201543 74126 75616 9961 210

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
201417 701242 266146 053
201517 847242 663144 950
05, 07, 08, 09.9 Mining and quarrying
20146854 7942 883
20157064 7692 809
10-33 Manufacturing
201417 016237 472143 170
201517 141237 894142 142
10-12 Food, beverages and tobacco
20142 12550 60025 213
20152 30952 29525 590
13-15 Textiles, wearing apparel, leather
20141 4824 4001 752
20151 5394 5111 744
16 Wood and wood products
20141 77013 3155 950
20151 75713 2866 091
17 Paper and paper products
2014662 7651 521
2015612 8391 666
18 Printing, reproduction
20141 0855 5032 951
20151 0145 6012 849
19-21 Refined petro., chemicals, pharmac.
201424412 7308 901
201525713 4889 789
22-23 Rubber, plastic, mineral prod.
20141 02815 8599 249
20151 01316 0119 368
24 Basic metals
20141109 5476 072
201511510 0006 607
25 Fabricated metal products
20142 37524 46913 946
20152 35823 58113 247
26-27 Computer and electrical equipment
201464414 75411 252
201561315 04911 034
28 Machinery and equipment
20141 12323 31517 986
20151 06923 41818 550
29-30 except 30.1 Transport equipment n.e.c.
20141513 7142 146
20151493 4381 991
30.1 Ships, boats and oil plattforms
201443727 99119 673
201542225 70217 209
31-32 Furniture and manufacturing n.e.c.
20141 9348 9283 943
20151 9099 0183 972
33 Repair, installation of machinery
20142 44219 58212 614
20152 55619 65712 435

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.
Corrected 19 June
05, 07, 08, 09.9, 10-33 Mining, quarrying and manufacturing
2014742 638525 951210 03821 889
2015760 041537 244210 74919 891
05, 07, 08, 09.9 Mining and quarrying
201414 0249 5054 5261 149
201513 1808 1595 033941
10-33 Manufacturing
2014728 613516 445205 51220 739
2015746 861529 084205 71618 950
10-12 Food, beverages and tobacco
2014183 314137 80738 4156 843
2015192 513145 30839 7655 765
13-15 Textiles, wearing apparel, leather
20146 7764 1382 646150
20156 9264 3042 636118
16 Wood and wood products
201424 56117 0797 517675
201526 18018 1488 072612
17 Paper and paper products
20147 9305 9931 939186
201512 0059 9022 105-
18 Printing and reproduction
20149 0705 3353 746326
20158 9175 2353 701144
19-21 Refined petro., chemicals, pharmac.
201463 40145 17718 3133 058
201594 97165 96324 0323 017
22-23 Rubber, plastic, mineral prod.
201441 53928 07613 4951 320
201542 04328 45413 6491 529
24 Basic metals
201462 41750 13312 2991 774
201564 90652 34512 5812 829
25 Fabricated metal prod.
201443 21826 04917 1981 333
201539 90423 78416 147678
26-27 Computer and electrical equipment
201440 21524 92215 366606
201541 20526 28114 989727
28 Machinery and equipment
201498 25271 37826 9141 150
201583 77458 95024 870913
29-30 except 30.1 Transport equipment n.e.c.
20148 3395 2843 061264
20158 4325 2393 205226
30.1 Building of ships and boats
201486 66363 07023 6421 582
201573 84353 80120 0501 011
31-32 Furniture and manufacturing n.e.c.
201413 3008 0895 233271
201512 9757 9165 092324
33 Repair, installation of machinery and equipment
201439 61923 91615 7291 201
201538 26723 45614 8221 057

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
2014201520142015
The whole country240 603240 465210 534212 202
 
Østfold14 97214 35711 40211 214
Akershus15 15315 39315 09514 613
Oslo15 05314 57614 32416 466
Hedmark8 3768 3745 6225 836
Oppland8 0028 3275 5095 736
Buskerud17 08917 18316 95717 253
Vestfold13 06513 10511 81311 033
Telemark8 1978 3427 9299 599
Aust-Agder5 2485 0923 6293 457
Vest-Agder13 16313 25515 85115 411
Rogaland28 34027 83024 77823 910
Hordaland26 95426 19122 94823 993
Sogn og Fjordane7 9287 7096 0035 726
Møre og Romsdal22 53322 48919 62518 632
Sør-Trøndelag13 39013 51710 62610 575
Nord-Trøndelag5 9166 1554 4784 577
Nordland9 70610 5389 0169 228
Troms - Romsa4 3744 7312 9792 865
Finnmark - Finnmárku2 7763 0562 0642 029
 
Svalbard368245-11546

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 Manufacturing and R&D 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

Contact