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C 634 Norges offisielle statistikk Official Statistics of Norway

Classification of Economic Regions

Statistisk sentralbyrå • Statistics NorwayOslo–Kongsvinger, Norway

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tation purposes. Presentation is basically in the form of tables, figures and necessaryinformation about data, collection and processing methods, and concepts anddefinitions. In addition, a short overview of the main results is given.

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ISBN 82-537-4877-9

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Official Statistics of Norway Classification of Economic Regions

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Classification of Economic Regions Official Statistics of Norway

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Preface

This publication presents a new regional classification (standard) for the levelbetween county and municipality. The main purpose of the new classificationis to constitute an appropriate level for the publishing of statistics, but itshould also correspond to the NUTS 4 - level in EU’s regional classification. Asa consequence of the latter requirement, the regions should not overlap thecounty borders. NUTS (Nomenclature des Unités Territoriales Statistiques) isEU’s standard regional classification. The basis of our work has been thestandard classifications of Trade fields and Forecast regions. The regions ofthe new classification are called Economic regions because the criteria usedfor defining the regions (e.g. labour market and trade) are related to theeconomic conditions in the area. Norway has been divided into 90 economicregions. The new classification corresponds to level 4 in Statistic Norway'sregional classification (REGIN). REGIN 1 consists of the whole country, REGIN2 of the regions ("landsdel" in Norwegian), REGIN 3 of the counties andREGIN 5 of the municipalities.

The classification has been circulated for comments both inside StatisticsNorway and among relevant institutions outside Statistics Norway. StatisticsNorway is grateful for the comments received.

The classification was originally published in the series Rapporter (Rapporter99/6). The purpose was to test if use of the classification would reveal anyneeds for changes. The classification has now been used for more than a yearwithout the occurrence of such needs, and the final version is thereforepublished in the series NOS (Official Statistics of Norway).

The development of the new classification has been executed by a groupwith representatives from different subject matter areas. The members havebeen Henning Hartvedt (Division for Population and Education Statistics), ErikNymoen (Division for Social and Demographic Research), Margareta Stålnacke(Division for Statistical Methods and Standards), Harald Utne (Division forPopulation and Housing Census) and Anne Gro Hustoft (Division forStatistical Methods and Standards). Anne Gro Hustoft has been the projectmanager, and has also prepared the publication. The Responsible Head ofDivision is Elisabetta Vassenden (Division for Population and EducationStatistics).

Statistics Norway,Oslo/Kongsvinger, 20 September 2000

Svein Longva___________________Johan-Kristian Tønder


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Contents1. The background for and purpose of the classification ................................................................................. 6

2. The need for a reporting level between county and municipality.............................................................. 6

3. Level of ambition and classification criteria .................................................................................................. 6

4. Hearings............................................................................................................................................................ 7

5. Principles for the selection of centre municipalities and classification in regions ..................................... 8

6. Coding............................................................................................................................................................. 10

7. The economic regions .................................................................................................................................... 10

AppendicesA Maps................................................................................................................................................................. 30B Classification of Municipalities per 1 January 2000............................................................................................ 50C Classification of Regions.................................................................................................................................... 53

Published Standards for Norwegian Statistics. ................................................................................................... 54


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1. The background for andpurpose of theclassification

Through Statistics Norway’s work in documentingregional classifications (the work is published in NOS C513��a need was revealed for revising the classificationof Trade fields. Except for adjustments related tochanges in municipal borders and the number ofmunicipalities, this classification has not been revisedsince 1966. In the more than 30 years that have passedsince that revision, major changes have occurred in thedevelopment of communications and centres, and anew revision was necessary in order to study how theclassification reflected the current reality.

It is natural to look at the revision of Trade fields inconnection with the classification of Forecast regions.Those two classifications represent the same regionallevel (the level between municipality and county), andhave many common classification criteria. Thus, theForecast regions will also constitute a part of the basisfor the new classification.

A further argument for revision and/or co-ordinationof the classifications of Trade fields and Forecastregions is that the new intermediate level can consti-tute Statistics Norway's proposal for a NUTS 4-analogous 1 classification that can be used in thereporting of regional data to Eurostat. County andmunicipality constitute Statistics Norway's NUTS 3-and NUTS 5- analogous levels. NUTS (Nomenclaturedes Unités Territoriales Statistiques) is EU’s standardfor regional classification.

The new classification is called the classification ofEconomic regions because the criteria that have beenused to define the regions (e.g. labour market andtrade), are related to the economic conditions in thearea. The economic regions constitute the regionallevel between country and municipality. The classifi-cation was first published in Rapporter 99/6 in orderto test it in practice before the final version now ispublished in the series NOS.

1 We use the term NUTS-analogous because Statistics Norway is not

allowed to call its classification NUTS because Norway is not amember of the EU. The proposed classification will correspond tothe regional level that the EU has defined as its NUTS 4-classification.

2. The need for a reportinglevel between countyand municipality

The point of departure for the new classification is twoexisting classifications in Statistics Norway, namely ofTrade fields and Forecast regions. The aim has been tocome up with a new regional classification that willprovide a reporting level between county andmunicipality.

The classifications of Trade fields and Forecast regionsare not among the most used at Statistics Norway, butit is thought nonetheless that there is a general needfor the reporting level that they represent. That isbecause it will be appropriate in many statistics to haveareas that are larger (e.g. to ensure confidentiality)and more stable (e.g. as regards the labour market)than municipalities. Because there are several divisionsin Statistics Norway that need a classification level ofthis sort, it is important that a common standard isestablished for this purpose.

In establishing the new classification, its relation toEurostat’s NUTS classification is another importantconsideration for Statistics Norway. Norway is notrequired to report to Eurostat at the regional level, butStatistics Norway wants to take part in this reporting,and the NUTS 4 level is the only NUTS level for whichNorway does not have an analogous level. This then isanother reason why it will be useful to define areporting level between county and municipality. Inorder to meet the requirements for a NUTS 4-analogousclassification, the regions must consist of whole,undivided municipalities, and the regions must notoverlap any county borders.

3. Level of ambition andclassification criteria

At the outset the project group that worked on theclassification was given the task of evaluating differentalternatives for a regional classification. The mostambitious alternative was the establishment offunctional regions based on trade and service and/orlabour market conditions. However, this would havebecome an extremely resource intensive alternativebecause there is not really any existing informationabout where a given population buys its goods orpurchases its services. Data of that kind is necessary inorder to define functional regions related to trade, andin that case the project would have had to break newground in the area of data collection. The projectgroup concluded that the expected amount of use ofthe classification did not justify the large expenditureof resources that this alternative required, and the


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project’s steering committee agreed. It also seemedlikely that these functional regions would overlap thecounty borders, so that they would not meet therequirements for a NUTS 4-analogous classificationeither.

In accordance with the project group’s recommen-dation, the steering committee backed an alternativethat would not give a real and/or ideal representationof any phenomenon (trade, labour market, etc.), butthat would constitute an appropriate level of presen-tation. The survey of the existing information in thisarea, showed that the best existing data on theinteraction between municipalities are commutingtables. These tables show the municipalities wherepeople live and likewise the municipalities where theywork. This gives a picture of which municipalities areattracting manpower and which ones are relinquishingmanpower. Since this is the only relevant interactiondata available, the classification is based to a greatextent on which municipalities should be groupedtogether from a labour market perspective.

In addition, these figures can be supplemented withsales data.

The number of inhabitants in the municipality’s biggesturban settlement may also be used as an indicator of amunicipality’s importance as a centre, but this has beenthe least decisive of the criteria.

When it comes to determining which region eachindividual municipality belongs to, we have includednewspaper area2 and pattern of internal migrationwhen the above-mentioned criteria have not beensufficient to determine the region in which a munici-pality should be placed. Local knowledge has beenused in the cases where none of the formal criteriahave been sufficient to determine where a municipalitybelongs (e.g. because people by and large do notcommute and/or move out of the municipality, orbecause they commute and/or move about equally totwo different regions). The project group has thereforemade use of the team’s own geographical expertise andcontacted relevant municipalities and counties.

4. HearingsThe classification was first circulated for commentsinside Statistics Norway and then sent out (in the formof Notater 98/62) for comments from the counties andother relevant institutions outside Statistics Norway.Statistics Norway would like to thank all those whooffered useful comments.

2 Which newspapers are read in which municipalities.

In the hearings we have received considerable feed-back about desired changes, from simple reclassifica-tions of municipalities to the establishment of newcentres and hence new regions. Although StatisticsNorway would like to comply with wishes from thecounties and other interested parties and give theclassifications that they regard as appropriate based ontheir history, economic activity, political collaboration,etc., the project group has chosen to keep the proposedregions when the placement is clear on the basis of ourclassification criteria. In other cases, the commentshave been taken into account. If, for example, weshould let the counties’ classifications, based ondifferent criteria and calculated on the basis of meetingdifferent needs, be decisive, the new regionalclassification would be inconsistent. For example, somecounties have gone in for a classification byhomogenous regions (e.g. coastal municipalities versusinterior municipalities), whereas others haveemphasised political collaboration or historical factors.Statistics Norway is aware that our classification is notcompletely consistent either, simply because youcannot avoid some estimation in a situation where theformal criteria at our disposal are not sufficient todetermine which region each of the country’smunicipalities should be placed in. The classification,however, is based as far as possible on the formalcriteria that have been documented in the report.

In this context, it is also important to emphasise thatthe classification is not an administrative classification;it is only meant for the publication of statistics. Munici-palities and/or counties can still order statistics accor-ding to other classifications from Statistics Norway,and all relevant Statistics Norway data will be pub-lished as before at the municipal level. Thus, everyonecan aggregate data from individual municipalities towhatever areas they may desire.

There have also been comments that it is unfavourablethat the economic regions are not allowed to overlapthe county borders. The project group is aware that insome cases this will result in ”artificial” regions sincesome municipalities clearly have their centre munici-pality in another county. The requirement that thecounty border should not be overlapped is, however, anecessary constraint for the classification as long as itis to be a parallel classification to Eurostat’s NUTS 4-classification.

There have been some comments on the names givento the regions. In this case the project group haschosen to adhere to the main principle of naming theregions after the biggest urban settlement, i.e. thecentre (or perhaps two equally important urban areasand/or centres). In regions where there is not anydominant centre, however, we have based our choiceof name on a traditional area name (e.g. Hadeland).Some counties have wanted to replace an urban


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settlement name with a traditional area name, but inmany cases the project group has decided not to do so.There are cases where a change of name of this sortcan give rise to confusion since our regions do notinclude exactly the same municipalities as those thatare traditionally regarded as coming under this areaname.

5. Principles for theselection of centremunicipalities andclassification in regions

It was found that the most appropriate point of depar-ture for the regional classification was to identify thecentre municipalities, and to assign the other munici-palities to them. A general criterion for a centremunicipality was that it should have an independenturban settlement of a certain size. It is difficult to givean absolute magnitude to certain size because an urbansettlement of, say, 2 000 inhabitants will be relativelysmall in some parts of the country and large in others.We must therefore consider size in relation tosurrounding areas. In addition, a centre municipalitymust be surrounded by a commuting area (i.e. thatemployees in other municipalities go there in sizeablenumbers in order to work).

The project group has based its work on identifyingcentre municipalities on the centres in the currentForecast regions and Trade districts3, and thus on theForecast regions’ and/or Trade districts’ underlyingconditions pertaining to the labour market and trade.The group’s most important information about thecurrent interaction among municipalities is derivedfrom commuting tables, a type of table that is notpublished as official statistics. The data that arepublished on employees by workplace (final figures)contain a number of corrections at the company level,which Statistics Norway is unable to make at theindividual level. The commuting data must thereforebe based on uncorrected data. The extent of thecorrections at the workplace are relatively small, butthey may be significant for the municipalities wherethey apply. The commuting tables can be ordered bypersons who wish to use them and are then referred toas "provisional figures from Statistics Norway."

For certain groups of employees, it can be difficult todetermine actual commuting. This applies, forexample, to employees who do not have a fixedworkplace (especially persons in the constructionbusiness and the transport sector). These employeeswill be registered at the workplace where they are

3 The Trade fields are divided into Trade districts. Trade districts are

the category that corresponds to the level between county andmunicipality.

classified administratively. Thus, the figures forcommuting to major urban settlements will tend to betoo high. For employees in the Norwegian ArmedForces, there is no information about workplace. Forseamen in ocean transport the only specified informa-tion is the shipping company’s address. These twogroups are thus always classified as "non-commuters".

It is evident that there is some uncertainty in connec-tion with the commuting tables. However, in additionto the internal migration data, these are the onlyavailable data that tell us anything about the crossingof municipal borders (tables that specify in whichmunicipalities the employees residing in municipality Awork), and we have used tables from both 1996 and1997 to avoid the possibility that random errors and/orvariations in one year should be given too much impor-tance. The commuting tables indicate the attractionthat the individual municipalities have through avail-able workplaces. Most centre municipalities will have anet in-commuting, but some, in the vicinity of one ormore larger centres (e.g. "the magnet" of Oslo), canhave a net out-commuting.

Unfortunately we do not have any data that tell wherepeople make their purchases. Wholesale and RetailTrade Statistics give data for sales per municipality, butthey do not specify whether it is the municipality’s owninhabitants or people from other municipalities whoare making the purchases. Nevertheless, the turnoverper inhabitant gives useful information about whichmunicipalities are the most important trading centres.In order to identify the trading centres, we have usedfigures from Wholesale and Retail Trade Statistics in1997 (retail trade, including motor vehicles andpetrol).

As previously mentioned, it is difficult to use popula-tion data as a criterion for centres since the sizerequirement will vary from region to region. We havenonetheless looked at the population data in themunicipality’s largest urban settlement in order to seewhether that can be decisive in some cases. The urbandata that have been used are gathered from unpub-lished urban settlement tables as per 1 January 1997.

This leaves us with the following basis for selectingcentres, ranked by the importance that is assigned toeach factor:

1. Commuting data (labour market)2. Wholesale and Retail Trade Statistics3. Population data in the biggest urban settlements

In addition, discretion is also used in some cases on thebasis of other knowledge about the municipalities.

A survey of the centre municipalities in each countywas made in Rapporter 99/6. We refer the reader tothis report for more detailed information (e.g. varioustables) pertaining to the identification of the centremunicipalities.


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Our procedure in the regional classification has been toassign a municipality to the centre municipality and/orarea to which it has the greatest in-commuting, basedon the data from the counties’ commuting tables. Insome cases a municipality (A) has little or no commu-ting to a centre municipality, so that it is difficult toassign it directly to that centre municipality and/orarea. In such cases, we have identified the munici-palities to which the employees in municipality Acommute, and placed A in the same region as themunicipality or municipalities to which it has thegreatest in-commuting. In the cases where amunicipality has roughly equal in-commuting to twodifferent centre municipalities, we have looked at themunicipalities that have already been assigned to thecentre municipalities (the region), and evaluated towhich region the municipality has the greatest in-commuting. If this is still not sufficient to determinethe region in which the municipality belongs, we havelooked at migration matrices from 1997 (tables thatshow to which municipality the inhabitants ofmunicipality A have moved and from whichmunicipalities the inhabitants of municipality A havecome during the year). These tables are published inRS 7/98 (RS stands for the Regional Statistics series).The newspaper area, i.e. which newspapers are read inwhich municipalities (The Newspaper Catalogue for1998) has also been used in the evaluation of doubtfulcases.

A special case is the municipalities, which would beassigned on the basis of our criteria to a functionalregion in another county, e.g. the municipalities inAkershus that have the greatest in-commuting to Oslo.These cannot be placed where they "actually" belongbecause a NUTS 4-analogous classification does notallow any overlapping of county borders. In these caseswe have looked at the commuting to neighbouringmunicipalities. If the "county-overlapping" munici-palities have a certain amount of commuting or someother kind of connection to a centre in their owncounty, they have been placed in that region. Ifaccording to our criteria, the municipality does nothave any connection to municipalities in its owncounty, the project group has chosen to let thatmunicipality constitute a separate region, even thoughsome of these "remaining regions" do not have anyclear centre. Our method of resolving this problem, islargely in accordance with the way it has been done inthe classification of Forecast regions and Tradedistricts.

One criterion for a centre municipality is that it shouldbe a sentre for a surrounding area. However, there willbe exceptions to this rule (e.g. Tinn): municipalitiesthat are relatively self-sufficient with respect to bothworkplaces and trade.

Another requirement of a region is that it must consistof a geographically continuous area.

In many cases, especially in Finnmark, but also in someinterior municipalities in Southern Norway, there islittle commuting across municipal boundaries, andhence the commuting table (and the other formalcriteria) give us little basis for placing themunicipalities in regions. In many of these cases wehave contacted local authorities to try to ascertain theregion in which the municipality belongs.

The project group has discussed whether criteriashould be established for regional size, but they havechosen not to do so. Various regional sizes will benatural in different parts of the country (depending,for example, on geographical conditions andpopulation size).

A special type of problem related to regional size, turnsup around the major urban settlements. Within thecounties there are centres at different levels. Forcertain functions the biggest urban settlements coverthe whole county (and sometimes more than that), e.g.with regard to special services in the public healthservice. Smaller urban settlements in the vicinity ofthese centres can nevertheless be dominant withintheir surrounding area for other functions (e.g. thegrocery trade).

Our main criterion for the classification has beencommuting. Using this criterion the biggest urbanareas will "capture" a large surrounding area. Smallerurban settlements in the vicinity will tend not to becounted as separate centres in our classificationbecause they have a large amount of in-commuting tothe regional centre. In those cases where smaller urbanareas of this type have actually been counted ascentres, they will have problems competing with thebiggest urban settlements when it comes tocommuting. Hence, they are unable to "capture" anysurrounding area outside of their own municipality.

It is possible that the interaction patterns would havelooked different if we had had an opportunity to useother criteria, e.g. trade or use of various services. Inthe task of assigning the municipalities to regions, wehave tried to take this type of problem into consider-ation, e.g. by evaluating whether commuting should beassigned less importance in the settlement around thebiggest urban settlement4 (corresponding to level 3 inthe Standard Classification for Municipalities).

4 The biggest urban settlements correspond to centres at level 3 (thehighest level of available services, high population) in the StandardClassification for Municipalities: Oslo, Kristiansand, Stavanger,Bergen, Trondheim and Tromsø.


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A detailed survey of the regional classification for eachcounty is also found in Rapporter 99/6. The reader isreferred to this source for further information.

6. CodingThe new regions that are called economic regions,should be coded with a 4-digit, alphanumeric code.This entails that an “initial” zero, i.e. 0 in thebeginning of a code, should always be included. Thefirst two digits in the code are the county number,whereas the last two are a consecutive numberingwithin each county. This numbering should start at 91in order to avoid confusion with other regional codes.We let the centre municipality’s municipal numberdetermine the sequence of the numbering, i.e. that theregion whose centre has the lowest municipal numberis given the code XX91, etc. If we take Østfold as anexample, this means that the economic region Haldenis given code 0191, the economic region Moss is givencode 0192, etc.

7. The economic regionsIn this chapter the new classification of economicregions is presented. The classification consists of 90regions, and in addition to the region’s name, code andconstituent municipalities (or, in the case of Oslo,urban districts) the population in each region (on1 January 2000) is also included. When an economicregion is regarded as having a clear (or two equal)centre(s), the project group has named that regionafter the largest urban settlement in the centre munici-pality/municipalities. If there are two equal centres,the urban settlement with the highest population(within its own municipality) comes first. In regionswhere there is no clear centre, the project group hasnamed the economic region after an acceptedcollective term (e.g. Hallingdal) or after an individualmunicipality/municipalities when there is not anynatural collective term. When we have two equalmunicipalities with no clear centre (e.g. Sande andSvelvik), the municipality with the highest populationcomes first. The centre municipality/municipalitieshave been printed with boldface type in the municipalsurvey.


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County Economic Region/Code Municipality Population

Østfold Halden 0101 Halden 26 7330191 0118 Aremark 1 451

I alt 28 184

Moss 0104 Moss 26 6330192 0135 Råde 6 217

0136 Rygge 13 2880137 Våler 4 059I alt 50 197

Fredrikstad/Sarpsborg 0106 Fredrikstad 67 7610105 Sarpsborg 47 447

0193 0111 Hvaler 3 4940128 Rakkestad 7 076I alt 125 778

Askim/Mysen 0124 Askim 13 5210194 0125 Eidsberg 9 703

0119 Marker 3 3000121 Rømskog 6740122 Trøgstad 4 8680123 Spydeberg 4 4860127 Skiptvet 3 1400138 Hobøl 4 366I alt 44 058


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Akershus Follo 0213 Ski 25 3940291 0211 Vestby 11 815

0214 Ås 13 5680215 Frogn 12 9720216 Nesodden 15 4480217 Oppegård 22 953I alt 102 150

Bærum/Asker 0219 Bærum 101 4940292 0220 Asker 49 284

I alt 150 778

Lillestrøm 0231 Skedsmo 38 7010293 0221 Aurskog-Høland 12 561

0226 Sørum 12 1330227 Fet 9 2710228 Rælingen 14 4930229 Enebakk 8 6800230 Lørenskog 29 5050233 Nittedal 18 6390234 Gjerdrum 4 5540236 Nes 16 288I alt 164 825

Ullensaker/Eidsvoll 0235 Ullensaker 20 1600294 0237 Eidsvoll 17 524

0238 Nannestad 8 9670239 Hurdal 2 648I alt 49 299


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Oslo Oslo 01 Bygdøy-Frogner 20 3260391 02 Majorstua-Uranienborg 23 809

03 St.Hanshaugen-Ullevål 28 25904 Sagene-Torshov 27 88805 Grünerløkka-Sofienberg 26 68306 Gamle Oslo 25 43307 Ekeberg-Bekkelaget 16 58708 Nordstrand 17 34909 Søndre Nordstrand 31 38010 Lambertseter 10 23011 Bøler 13 17012 Manglerud 12 30913 Østensjø 15 43314 Helsfyr-Sinsen 21 10015 Hellerud 15 69116 Furuset 29 29017 Stovner 20 96818 Romsås 6 82219 Grorud 17 07520 Bjerke 22 82121 Grefsen-Kjelsås 17 76522 Sogn 15 82323 Vinderen 19 61224 Røa 21 31025 Ullern 26 60726 Sentrum 1 19427 Marka 1 647Uoppgitt 886I alt 507 467


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Hedmark Kongsvinger 0402 Kongsvinger 17 3490491 0418 Nord-Odal 5 089

0419 Sør-Odal 7 3490420 Eidskog 6 4090423 Grue 5 4420425 Åsnes 8 112I alt 49 750

Hamar 0403 Hamar 26 5450492 0412 Ringsaker 31 622

0415 Løten 7 1880417 Stange 17 928I alt 83 283

Elverum 0427 Elverum 18 0460493 0426 Våler 4 063

0428 Trysil 7 0690429 Åmot 4 3790430 Stor-Elvdal 3 0120434 Engerdal 1 580I alt 38 149

Tynset 0437 Tynset 5 4730494 0432 Rendalen 2 257

0436 Tolga 1 8120438 Alvdal 2 4170439 Folldal 1 8140441 Os 2 148I alt 15 921


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Oppland Lillehammer 0501 Lillehammer 24 7240591 0521 Øyer 4 859

0522 Gausdal 6 186I alt 35 769

Gjøvik 0502 Gjøvik 27 0130592 0528 Østre Toten 14 103

0529 Vestre Toten 13 0650536 Søndre Land 6 0730538 Nordre Land 6 950I alt 67 204

Midt-Gudbrandsdalen 0516 Nord-Fron 5 9530593 0519 Sør-Fron 3 322

0520 Ringebu 4 752I alt 14 027

Nord-Gudbrandsdalen 0517 Sel 6 2730594 0511 Dovre 2 851

0512 Lesja 2 3030513 Skjåk 2 3860514 Lom 2 5670515 Vågå 3 818I alt 20 198

Hadeland 0534 Gran 12 8770595 0532 Jevnaker 5 995

0533 Lunner 8 264I alt 27 136

Valdres 0542 Nord-Aurdal 6 5600596 0540 Sør-Aurdal 3 389

0541 Etnedal 1 4010543 Vestre Slidre 2 2820544 Øystre Slidre 3 0600545 Vang 1 675I alt 18 367


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Buskerud Drammen 0602 Drammen 54 8160691 0621 Sigdal 3 556

0623 Modum 12 3660624 Øvre Eiker 15 0580625 Nedre Eiker 20 5020626 Lier 21 3080627 Røyken 16 2450628 Hurum 8 363I alt 152 214

Kongsberg 0604 Kongsberg 22 2930692 0631 Flesberg 2 491

0632 Rollag 1 4920633 Nore og Uvdal 2 764I alt 29 040

Hønefoss 0605 Ringerike 27 9170693 0612 Hole 4 977

0622 Krødsherad 2 254I alt 35 148

Hallingdal 0617 Gol 4 3900694 0615 Flå 1 102

0616 Nes 3 5280618 Hemsedal 1 9580619 Ål 4 7890620 Hol 4 642I alt 20 409


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Vestfold Tønsberg/Horten 0704 Tønsberg 34 7160791 0701 Borre 23 764

0716 Våle 4 2190718 Ramnes 3 7170719 Andebu 4 6780720 Stokke 9 5570722 Nøtterøy 19 6010723 Tjøme 4 505I alt 104 757

Holmestrand 0702 Holmestrand 9 3840792 0714 Hof 2 891

I alt 12 275

Sandefjord/Larvik 0706 Sandefjord 39 3170793 0709 Larvik 40 386

0728 Lardal 2 379I alt 82 082

Sande/Svelvik 0713 Sande 7 3770794 0711 Svelvik 6 284

I alt 13 661


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Telemark Skien/Porsgrunn 0806 Skien 49 5920891 0805 Porsgrunn 32 892

0811 Siljan 2 2690814 Bamble 14 1420819 Nome 6 648I alt 105 543

Notodden/Bø 0807 Notodden 12 2720892 0821 Bø 4 964

0822 Sauherad 4 4110827 Hjartdal 1 687I alt 23 334

Kragerø 0815 Kragerø 10 6560893 0817 Drangedal 4 175

I alt 14 831

Rjukan 0826 Tinn 6 5600894

Vest-Telemark 0828 Seljord 2 9280895 0829 Kviteseid 2 667

0830 Nissedal 1 4470831 Fyresdal 1 3530833 Tokke 2 5060834 Vinje 3 869I alt 14 770


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Aust-Agder Risør 0901 Risør 7 0000991 0911 Gjerstad 2 509

I alt 9 509

Arendal 0906 Arendal 39 4460992 0904 Grimstad 17 821

0912 Vegårshei 1 8380914 Tvedestrand 5 9670919 Froland 4 4970929 Åmli 1 862I alt 71 431

Lillesand 0926 Lillesand 8 8160993 0928 Birkenes 4 290

I alt 13 106

Setesdal 0937 Evje og Hornnes 3 3460994 0935 Iveland 1 128

0938 Bygland 1 3510940 Valle 1 4390941 Bykle 868I alt 8 132


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Vest-Agder Kristiansand 1001 Kristiansand 72 3951091 1014 Vennesla 12 141

1017 Songdalen 5 4551018 Søgne 8 929I alt 98 920

Mandal 1002 Mandal 13 3161092 1021 Marnardal 2 198

1026 Åseral 8781027 Audnedal 1 5301029 Lindesnes 4 395I alt 22 317

Lyngdal/Farsund 1003 Farsund 9 6301093 1032 Lyngdal 7 064

1034 Hægebostad 1 621I alt 18 315

Flekkefjord 1004 Flekkefjord 8 8511094 1037 Kvinesdal 5 554

1046 Sirdal 1 734I alt 16 139


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Rogaland Egersund 1101 Eigersund 13 2881191 1111 Sokndal 3 358

1112 Lund 3 0961114 Bjerkreim 2 456I alt 22 198

Stavanger/Sandnes 1103 Stavanger 108 8181192 1102 Sandnes 52 998

1122 Gjesdal 8 9111124 Sola 18 9151127 Randaberg 8 7731129 Forsand 1 0181130 Strand 10 1221133 Hjelmeland 2 7561141 Finnøy 2 8651142 Rennesøy 3 1111144 Kvitsøy 523I alt 218 810

Haugesund 1106 Haugesund 30 3621193 1134 Suldal 4 043

1135 Sauda 5 0811145 Bokn 7861146 Tysvær 8 8281149 Karmøy 36 9711151 Utsira 2561154 Vindafjord 4 848I alt 91 175

Jæren 1121 Time 13 3171194 1119 Hå 13 921

1120 Klepp 13 789I alt 41 027


22


Hordaland Bergen 1201 Bergen 229 4961291 1238 Kvam 8 592

1241 Fusa 3 6841242 Samnanger 2 2821243 Os 13 8961244 Austevoll 4 4061245 Sund 5 1601246 Fjell 18 1781247 Askøy 19 7271251 Vaksdal 4 1921252 Modalen 3541253 Osterøy 7 0061256 Meland 5 3531259 Øygarden 3 6231260 Radøy 4 5851263 Lindås 12 4921264 Austrheim 2 5271265 Fedje 6821266 Masfjorden 1 774I alt 348 009

Søndre Sunnhordland 1214 Ølen 3 2871292 1211 Etne 3 917

1216 Sveio 4 623I alt 11 827

Nordre Sunnhordland 1221 Stord 16 1441293 1219 Bømlo 10 739

1222 Fitjar 2 9921223 Tysnes 2 8431224 Kvinnherad 13 196I alt 45 914

Odda 1228 Odda 7 7271294 1227 Jondal 1 151

1231 Ullensvang 3 5621232 Eidfjord 1 037I alt 13 477

Voss 1235 Voss 13 7261295 1233 Ulvik 1 222

1234 Granvin 1 044I alt 15 992


23


Sogn og Florø 1401 Flora 11 226Fjordane 1491 1438 Bremanger 4 170

I alt 15 396

Høyanger 1416 Høyanger 4 6771492 1411 Gulen 2 489

1412 Solund 9591418 Balestrand 1 513I alt 9 638

Sogndal/Årdal 1420 Sogndal 6 6661493 1424 Årdal 5 797

1417 Vik 2 9651419 Leikanger 2 1831421 Aurland 1 8331422 Lærdal 2 2021426 Luster 5 003I alt 26 649

Førde 1432 Førde 10 4731494 1413 Hyllestad 1 554

1428 Askvoll 3 3491429 Fjaler 2 9641430 Gaular 2 8861431 Jølster 2 9571433 Naustdal 2 736I alt 26 919

Nordfjord 1439 Vågsøy 6 4791495 1443 Eid 5 780

1445 Gloppen 5 7691449 Stryn 6 6661441 Selje 3 0661444 Hornindal 1 227I alt 28 987


24


Møre og Molde 1502 Molde 23 710Romsdal 1591 1535 Vestnes 6 530

1539 Rauma 7 4151543 Nesset 3 2891545 Midsund 1 9781547 Aukra 2 9781548 Fræna 9 0051551 Eide 3 1931557 Gjemnes 2 683I alt 60 781

Kristiansund 1503 Kristiansund 16 9251592 1554 Averøy 5 409

1556 Frei 5 1991569 Aure 2 7821572 Tustna 1 0411573 Smøla 2 432I alt 33 788

Ålesund 1504 Ålesund 38 8551593 1523 Ørskog 2 076

1524 Norddal 1 9601525 Stranda 4 6771526 Stordal 1 0521528 Sykkylven 7 2801529 Skodje 3 5131531 Sula 7 0701532 Giske 6 3441534 Haram 8 7741546 Sandøy 1 332I alt 82 933

Ulsteinvik 1516 Ulstein 6 5411594 1511 Vanylven 3 584

1514 Sande 3 0811515 Herøy 8 3901517 Hareid 4 748I alt 26 344

Ørsta/Volda 1520 Ørsta 10 2761595 1519 Volda 8 322

I alt 18 598

Sunndalsøra 1563 Sunndal 7 3681596 1560 Tingvoll 3 148

I alt 10 516

Surnadal 1566 Surnadal 6 2521597 1567 Rindal 2 138

1571 Halsa 1 808I alt 10 198


25


Sør- Trondheim 1601 Trondheim 148 859Trøndelag 1691 1624 Rissa 6 503

1648 Midtre Gauldal 5 7791653 Melhus 13 1691657 Skaun 5 8431662 Klæbu 4 8751663 Malvik 11 1321664 Selbu 3 9261665 Tydal 949I alt 201 035

Frøya/Hitra 1620 Frøya 4 1151692 1617 Hitra 4 038

I alt 8 153

Brekstad 1621 Ørland 5 0371693 1627 Bjugn 4 696

1630 Åfjord 3 4031632 Roan 1 1211633 Osen 1 194I alt 15 451

Oppdal 1634 Oppdal 6 2881694 1635 Rennebu 2 700

I alt 8 988

Orkanger 1638 Orkdal 10 2501695 1612 Hemne 4 324

1613 Snillfjord 1 0931622 Agdenes 1 7831636 Meldal 3 991I alt 21 441

Røros 1640 Røros 5 5451696 1644 Holtålen 2 239

I alt 7 784


26


Nord- Steinkjer 1702 Steinkjer 20 459Trøndelag 1791 1718 Leksvik 3 512

1723 Mosvik 9251724 Verran 2 7331725 Namdalseid 1 8311729 Inderøy 5 8021736 Snåsa 2 397I alt 37 659

Namsos 1703 Namsos 12 3251792 1743 Høylandet 1 335

1744 Overhalla 3 6591748 Fosnes 7941749 Flatanger 1 238I alt 19 351

Stjørdalshalsen 1714 Stjørdal 18 2381793 1711 Meråker 2 637

I alt 20 875

Levanger/Verdalsøra 1719 Levanger 17 5011794 1721 Verdal 13 644

1717 Frosta 2 430I alt 33 575

Grong 1742 Grong 2 5651795 1738 Lierne 1 565

1739 Røyrvik 5951740 Namsskogan 989I alt 5 714

Rørvik 1750 Vikna 3 8671796 1751 Nærøy 5 353

1755 Leka 714I alt 9 934


27


Nordland Bodø 1804 Bodø 41 3671891 1836 Rødøy 1 570

1837 Meløy 6 7961838 Gildeskål 2 3511839 Beiarn 1 3111840 Saltdal 4 8871841 Fauske 9 6321842 Skjerstad 1 0981845 Sørfold 2 3671848 Steigen 2 9771849 Hamarøy 2 008I alt 76 364

Narvik 1805 Narvik 18 6001892 1850 Tysfjord 2 302

1851 Lødingen 2 4711852 Tjeldsund 1 5271853 Evenes 1 5231854 Ballangen 2 775I alt 29 198

Brønnøysund 1813 Brønnøy 7 4331893 1811 Bindal 1 921

1812 Sømna 2 1161815 Vega 1 4141816 Vevelstad 592I alt 13 476

Sandnessjøen 1820 Alstahaug 7 4401894 1818 Herøy 1 881

1822 Leirfjord 2 2421827 Dønna 1 5821834 Lurøy 2 1071835 Træna 466I alt 15 718

Mosjøen 1824 Vefsn 13 5531895 1825 Grane 1 652

1826 Hattfjelldal 1 634I alt 16 839

Mo i Rana 1833 Rana 25 2551896 1828 Nesna 1 882

1832 Hemnes 4 689I alt 31 826

Lofoten 1865 Vågan 9 2291897 1856 Røst 666

1857 Værøy 7751859 Flakstad 1 5751860 Vestvågøy 10 7501874 Moskenes 1 352I alt 24 347

Vesterålen 1870 Sortland 9 2301898 1866 Hadsel 8 321

1867 Bø 3 2881868 Øksnes 4 7581871 Andøy 5 744I alt 31 341


28


Troms Harstad 1901 Harstad 23 0251991 1911 Kvæfjord 3 287

1913 Skånland 3 1091915 Bjarkøy 6021917 Ibestad 1 763I alt 31 786

Tromsø 1902 Tromsø 59 1451992 1933 Balsfjord 5 749

1936 Karlsøy 2 4961938 Lyngen 3 2251939 Storfjord 1 872I alt 72 487

Andselv 1924 Målselv 7 0541993 1919 Gratangen 1 345

1920 Lavangen 1 0521922 Bardu 3 8891923 Salangen 2 346I alt 15 686

Finnsnes 1931 Lenvik 11 0391994 1925 Sørreisa 3 294

1926 Dyrøy 1 3371927 Tranøy 1 6951928 Torsken 1 1661929 Berg 1 111I alt 19 642

Nord-Troms 1942 Nordreisa 4 8211995 1941 Skjervøy 2 934

1943 Kvænangen 1 4351940 Gáivuotna-Kåfjord 2 369I alt 11 559


29


Finnmark Vadsø 2003 Vadsø 6 1302091 2002 Vardø 2 705

2024 Berlevåg 1 2362025 Deatnu-Tana 3 0742027 Unjárga-Nesseby 9652028 Båtsfjord 2 470I alt 16 580

Hammerfest 2004 Hammerfest 9 2132092 2017 Kvalsund 1 106

2018 Måsøy 1 4772019 Nordkapp 3 5172020 Porsanger 4 4512021 Káráš johka-Karasjok 2 9012022 Lebesby 1 4632023 Gamvik 1 288I alt 25 416

Alta 2012 Alta 16 8372093 2011 Guovdageaidnu-Kautokeino 3 068

2014 Loppa 1 4262015 Hasvik 1 200I alt 22 531

Kirkenes 2030 Sør-Varanger 9 5322094


30

Economic Regions in Southern Norway

The complete names of the regions in Østfold, Akershus, Oslo and Vestfold are to be found at the county maps.

Appendix A

Maps

Source: Norwegian Mapping AuthorityRef. SSB/feb. 1999

Statistisk sentralbyråStatistics Norway


31

Economic Regions in Northern Norway

Finnmark

Nordland

Troms

Alta

Bodø

Vadsø

Hammerfest

Andselv

Mosjøen

Narvik

Tromsø

Mo i Rana

Nord-Troms

Kirkenes

Brønnøysund

Finnsnes

HarstadVesterålen

Lofoten

Sandnessjøen




32

Economic Regions in Østfold

Halden

Askim/Mysen

Moss

Fredrikstad/Sarpsborg

Halden

MarkerVåler

Rakkestad

Aremark

Sarpsborg

Eidsberg

Hobøl

Råde

Fredrikstad

Trøgstad

Rømskog

Skiptvet

Spydeberg

Askim

Rygge

Moss

Hvaler




33

Economic Regions in Akershus and Oslo

Lillestrøm

Follo

Oslo

Ullensaker/Eidsvoll

Bærum/Asker

Nes

Oslo

Aurskog-Høland

Eidsvoll

Fet

Ski

Hurdal

Ås

Nannestad

SørumBærum

Enebakk

Nittedal

Ullensaker

Vestby

Asker

Frogn

Gjerdrum

Skedsmo

Rælingen

Løren-skog

Nes-odden Oppe-gård




34

Economic Regions in Hedmark

Trysil

Os

Rendalen

Tynset

Åmot

Engerdal

Stor-Elvdal

Tolga

Folldal

Åsnes

Grue

Elverum

Alvdal

Våler

Ringsaker

Stange

Kongsvinger

Eidskog

Løten

Sør-Odal

Hamar

Nord-Odal

Tynset

Elverum

Hamar

Kongsvinger




35

Economic Regions in Oppland

Valdres

Gjøvik

Nord-Gudbrandsdalen

Lillehammer

Midt-Gudbrandsdalen

Hadeland

Lom

Lesja

Skjåk

Vang

Sel

Vågå

Dovre

Gran

Ringebu

Gausdal Øyer

Nord-Fron

Gjøvik

Sør-Aurdal

Sør-Fron

NordreLandNord-Aurdal

ØystreSlidre

Etnedal

SøndreLand ØstreToten

Lunner

LillehammerVestreSlidre

Jevn-aker

VestreToten




36

Economic Regions in Buskerud

Ål

Hol

Flå

Nes

Nore og UvdalRingerike

Gol

Sigdal

Lier

Hemsedal

Kongsberg

Modum

Rollag

FlesbergØvreEiker

Hole

Krødsherad

Hurum

RøykenDrammen

NedreEiker

Hallingdal

Kongsberg Drammen

Hønefoss




37

Economic Regions in Vestfold

Larvik

Hof

Lardal

Sande

Andebu

Våle

Stokke

Ramnes

Borre

Tønsberg

Sandefjord

Svelvik

Holmestrand

Nøtterøy

TjømeSandefjord/Larvik

Tønsberg/Horten

Holmestrand

Sande/Svelvik




38

Economic Regions in Telemark

Vest-Telemark

Rjukan

Notodden/Bø

Kragerø

Skien/Porsgrunn

Vinje

Tinn

Tokke

Fyresdal

Skien

Nissedal Drangedal

Hjartdal

Seljord

Notodden

Bø

Kviteseid

Nome

Bamble

Siljan

Kragerø

Sauherad

Porsgrunn




39

Economic Regions in Aust-Agder

Setesdal

Arendal

Lillesand

Risør

Bykle

Valle

Åmli

Bygland

Froland

Birkenes

Gjerstad

Iveland

Vegårshei

Evje ogHornnes

Risør

Grimstad

Arendal

Lillesand

Tvedestrand




40

Economic Regions in Vest-Agder

Mandal

Flekkefjord

KristiansandLyngdal/Farsund

Sirdal

Åseral

Kvinesdal

Flekkefjord

Lyngdal

Vennesla

Marnardal

Hægebostad

Lindesnes

Mandal

Farsund

Audnedal

Søgne

Kristiansand

Song-dalen




41

Economic Regions in Rogaland

Haugesund

Egersund

Stavanger/Sandnes

Jæren

Suldal

Hå

Forsand

Hjelmeland

Sauda

Gjesdal

Lund

Bjerkreim

Vindafjord

Eigersund

Time

Sokndal

Sandnes

Tysvær

Strand

Karmøy

Klepp

Sola

Hauge-sund

Bokn

Stavanger

Finnøy

Rennesøy

Randaberg

Utsira

Kvitsøy




42

Economic Regions in Hordaland

Odda

VossBergen

Nordre Sunn-hordland

SøndreSunnhordland

Voss

Odda

Eidfjord

Etne

Ulvik

Kvam

Ullensvang

Kvinnherad

Fusa

Bergen

Lindås

MasfjordenModalen

Os

Vaksdal

SveioØlen

Jondal

Osterøy

Tysnes

Granvin

Bømlo

Stord

SamnangerFjell

Fitjar

Askøy

Radøy

Sund

Meland

Austevoll

Austrheim

Øy-garden

Fedje




43

Economic Regions in Sogn og Fjordane

Sogndal/Årdal

Førde

Nordfjord

Florø

Høyanger

Luster

Stryn

Vik

Aurland

Lærdal

Årdal

Eid

GloppenFlora

Jølster

Førde

Gaular

Gulen

Fjaler

Bale-strand

Bremanger

Sogndal

Høyanger

Selje

Naustdal

Askvoll

Hylle- stad

Hornindal

Leikanger

Solund

Vågsøy




44

Economic Regions in Møre og Romsdal

Molde

Ålesund

Surnadal

Sunndalsøra

Ørsta/Volda

Ulstein-vik

Kristiansund

SunndalRauma

Surnadal

Ørsta

Nesset

Norddal

Stranda

Rindal

Volda

Aure

Molde

Fræna

Halsa

Vest- nes

Ting- voll

Gjemnes

Van-ylven

Stordal

Smøla

Sykk-ylven

Eide

Haram

Averøy

ØrskogSkodje

Frei

Sula

Tustna

Ulstein

Sande

Herøy

Midsund

Åle-sund

Aukra

Giske

Sandøy

Kristiansund

Hareid




45

Economic Regions in Sør-Trøndelag

Trondheim

RørosOppdal

Orkanger

Brekstad

Frøya/Hitra

RørosOppdal

Tydal

Selbu

Åfjord

Holtålen

Midtre Gauldal

Hitra

Rissa

Rennebu

MelhusMeldal

HemneOrkdal

Osen

Roan

Bjugn

Snillfjord

Agde-nes

Skaun

Trondheim

Klæbu

Mal-vik

Frøya Ørland




46

Economic Regions in Nord-Trøndelag

Grong

Steinkjer

Namsos

Stjørdalshalsen

Levanger/Verdalsøra

Rørvik

Lierne

Snåsa

Verdal

Røyrvik

Grong

Steinkjer

Meråker

Stjørdal

Namsskogan

Verran

Nærøy

Overhalla

Høy-landet

Namsos

Levanger

Fosnes

Namdalseid

Leksvik

Flat-anger

Mosvik

In-derøy

Vikna

Leka

Frosta




47

Economic Regions in Nordland

Rana

Narvik

Grane

Saltdal

Vefsn

Hattfjelldal

Sørfold

Beiarn

Hemnes

Tysfjord

Fauske

Bindal

Meløy

Bodø

Brønnøy

Hamarøy

Steigen

Ballangen

Rødøy

Bø

Andøy

Leirfjord

Gilde-skål

Lødingen

Vevelstad

Skjerstad

Vågan

Vestvågøy

Sortland

Øksnes

EvenesHadsel

Lurøy

Alsta- haug

Sømna

Vega

Dønna

Tjeldsund

Flakstad

Nesna

Moskenes

Værøy

Herøy

Træna

Røst

Bodø

Mosjøen

Narvik

Mo i Rana

Brønnøy-sund

Vesterålen

Lofoten

Sandnes-sjøen




48

Economic Regions in Troms

Andselv

Tromsø

Nord-Troms

Finnsnes

Harstad

Bardu

Målselv

Nordreisa

StorfjordBalsfjord

Kvænangen

Tromsø

Lyngen

Len-vik

Tranøy

Kvæ-fjord

Berg

Karls- øy

Gáivuotna-Kåfjord

Skånland

Salangen

SørreisaDyrøy

Har-stad

Skjervøy

Lavangen

Gratangen

Torsken

Ibe-stad

Bjarkøy




49

Economic Regions in Finnmark

š




50

Classification ofMunicipalities

01 Østfold0101 Halden0104 Moss0105 Sarpsborg0106 Fredrikstad0111 Hvaler0118 Aremark0119 Marker0121 Rømskog0122 Trøgstad0123 Spydeberg0124 Askim0125 Eidsberg0127 Skiptvet0128 Rakkestad0135 Råde0136 Rygge0137 Våler0138 Hobøl

02 Akershus0211 Vestby0213 Ski0214 Ås0215 Frogn0216 Nesodden0217 Oppegård0219 Bærum0220 Asker0221 Aurskog-Høland0226 Sørum0227 Fet0228 Rælingen0229 Enebakk0230 Lørenskog0231 Skedsmo0233 Nittedal0234 Gjerdrum0235 Ullensaker0236 Nes0237 Eidsvoll0238 Nannestad0239 Hurdal

03 Oslo0301 Oslo

04 Hedmark0402 Kongsvinger0403 Hamar0412 Ringsaker0415 Løten0417 Stange0418 Nord-Odal0419 Sør-Odal0420 Eidskog0423 Grue0425 Åsnes0426 Våler0427 Elverum0428 Trysil0429 Åmot0430 Stor-Elvdal0432 Rendalen0434 Engerdal0436 Tolga0437 Tynset0438 Alvdal0439 Folldal0441 Os

05 Oppland0501 Lillehammer0502 Gjøvik0511 Dovre0512 Lesja0513 Skjåk0514 Lom0515 Vågå0516 Nord-Fron0517 Sel0519 Sør-Fron0520 Ringebu0521 Øyer0522 Gausdal0528 Østre Toten0529 Vestre Toten0532 Jevnaker0533 Lunner0534 Gran0536 Søndre Land0538 Nordre Land0540 Sør-Aurdal0541 Etnedal0542 Nord-Aurdal0543 Vestre Slidre0544 Øystre Slidre0545 Vang

06 Buskerud0602 Drammen0604 Kongsberg0605 Ringerike0612 Hole0615 Flå0616 Nes0617 Gol0618 Hemsedal0619 Ål0620 Hol0621 Sigdal0622 Krødsherad0623 Modum0624 Øvre Eiker0625 Nedre Eiker0626 Lier0627 Røyken0628 Hurum0631 Flesberg0632 Rollag0633 Nore og Uvdal

07 Vestfold0701 Borre0702 Holmestrand0704 Tønsberg0706 Sandefjord0709 Larvik0711 Svelvik0713 Sande0714 Hof0716 Våle0718 Ramnes0719 Andebu0720 Stokke0722 Nøtterøy0723 Tjøme0728 Lardal

08 Telemark0805 Porsgrunn0806 Skien0807 Notodden0811 Siljan0814 Bamble0815 Kragerø0817 Drangedal0819 Nome0821 Bø0822 Sauherad0826 Tinn0827 Hjartdal

Appendix B

Classification of Municipalities per 1 January 2000


51

0828 Seljord0829 Kviteseid0830 Nissedal0831 Fyresdal0833 Tokke0834 Vinje

09 Aust-Agder0901 Risør0904 Grimstad0906 Arendal0911 Gjerstad0912 Vegårshei0914 Tvedestrand0919 Froland0926 Lillesand0928 Birkenes0929 Åmli0935 Iveland0937 Evje og Hornnes0938 Bygland0940 Valle0941 Bykle

10 Vest-Agder1001 Kristiansand1002 Mandal1003 Farsund1004 Flekkefjord1014 Vennesla1017 Songdalen1018 Søgne1021 Marnardal1026 Åseral1027 Audnedal1029 Lindesnes1032 Lyngdal1034 Hægebostad1037 Kvinesdal1046 Sirdal

11 Rogaland1101 Eigersund1102 Sandnes1103 Stavanger1106 Haugesund1111 Sokndal1112 Lund1114 Bjerkreim1119 Hå1120 Klepp1121 Time1122 Gjesdal1124 Sola1127 Randaberg1129 Forsand1130 Strand1133 Hjelmeland

1134 Suldal1135 Sauda1141 Finnøy1142 Rennesøy1144 Kvitsøy1145 Bokn1146 Tysvær1149 Karmøy1151 Utsira1154 Vindafjord

12 Hordaland1201 Bergen1211 Etne1214 Ølen1216 Sveio1219 Bømlo1221 Stord1222 Fitjar1223 Tysnes1224 Kvinnherad1227 Jondal1228 Odda1231 Ullensvang1232 Eidfjord1233 Ulvik1234 Granvin1235 Voss1238 Kvam1241 Fusa1242 Samnanger1243 Os1244 Austevoll1245 Sund1246 Fjell1247 Askøy1251 Vaksdal1252 Modalen1253 Osterøy1256 Meland1259 Øygarden1260 Radøy1263 Lindås1264 Austrheim1265 Fedje1266 Masfjorden

14 Sogn og Fjordane1401 Flora1411 Gulen1412 Solund1413 Hyllestad1416 Høyanger1417 Vik1418 Balestrand1419 Leikanger1420 Sogndal

1421 Aurland1422 Lærdal1424 Årdal1426 Luster1428 Askvoll1429 Fjaler1430 Gaular1431 Jølster1432 Førde1433 Naustdal1438 Bremanger1439 Vågsøy1441 Selje1443 Eid1444 Hornindal1445 Gloppen1449 Stryn

15 Møre og Romsdal1502 Molde1503 Kristiansund1504 Ålesund1511 Vanylven1514 Sande1515 Herøy1516 Ulstein1517 Hareid1519 Volda1520 Ørsta1523 Ørskog1524 Norddal1525 Stranda1526 Stordal1528 Sykkylven1529 Skodje1531 Sula1532 Giske1534 Haram1535 Vestnes1539 Rauma1543 Nesset1545 Midsund1546 Sandøy1547 Aukra1548 Fræna1551 Eide1554 Averøy1556 Frei1557 Gjemnes1560 Tingvoll1563 Sunndal1566 Surnadal1567 Rindal1569 Aure1571 Halsa1572 Tustna1573 Smøla


52

16 Sør-Trøndelag1601 Trondheim1612 Hemne1613 Snillfjord1617 Hitra1620 Frøya1621 Ørland1622 Agdenes1624 Rissa1627 Bjugn1630 Åfjord1632 Roan1633 Osen1634 Oppdal1635 Rennebu1636 Meldal1638 Orkdal1640 Røros1644 Holtålen1648 Midtre Gauldal1653 Melhus1657 Skaun1662 Klæbu1663 Malvik1664 Selbu1665 Tydal

17 Nord-Trøndelag1702 Steinkjer1703 Namsos1711 Meråker1714 Stjørdal1717 Frosta1718 Leksvik1719 Levanger1721 Verdal1723 Mosvik1724 Verran1725 Namdalseid1729 Inderøy1736 Snåsa1738 Lierne1739 Røyrvik1740 Namsskogan1742 Grong1743 Høylandet1744 Overhalla1748 Fosnes1749 Flatanger1750 Vikna1751 Nærøy1755 Leka

18 Nordland1804 Bodø1805 Narvik1811 Bindal1812 Sømna

1813 Brønnøy1815 Vega1816 Vevelstad1818 Herøy1820 Alstahaug1822 Leirfjord1824 Vefsn1825 Grane1826 Hattfjelldal1827 Dønna1828 Nesna1832 Hemnes1833 Rana1834 Lurøy1835 Træna1836 Rødøy1837 Meløy1838 Gildeskål1839 Beiarn1840 Saltdal1841 Fauske1842 Skjerstad1845 Sørfold1848 Steigen1849 Hamarøy1850 Tysfjord1851 Lødingen1852 Tjeldsund1853 Evenes1854 Ballangen1856 Røst1857 Værøy1859 Flakstad1860 Vestvågøy1865 Vågan1866 Hadsel1867 Bø1868 Øksnes1870 Sortland1871 Andøy1874 Moskenes

19 Troms1901 Harstad1902 Tromsø1911 Kvæfjord1913 Skånland1915 Bjarkøy1917 Ibestad1919 Gratangen1920 Lavangen1922 Bardu1923 Salangen1924 Målselv1925 Sørreisa1926 Dyrøy1927 Tranøy

1928 Torsken1929 Berg1931 Lenvik1933 Balsfjord1936 Karlsøy1938 Lyngen1939 Storfjord1940 Gáivuotna1 - Kåfjord1941 Skjervøy1942 Nordreisa1943 Kvænangen

20 Finnmark2002 Vardø2003 Vadsø2004 Hammerfest2011 Guovdageaidnu -

Kautokeino2012 Alta2014 Loppa2015 Hasvik2017 Kvalsund2018 Måsøy2019 Nordkapp2020 Porsanger2021 Kárá�johka -

Karasjok2022 Lebesby2023 Gamvik2024 Berlevåg2025 Deatnu - Tana2027 Unjárga - Nesseby2028 Båtsfjord2030 Sør-Varanger

Other Norwegian areas2

21 Svalbard2111 Spitsbergen2121 Bjørnøya2131 Hopen

22 Jan Mayen2211 Jan Mayen

23 The Continental shelf2311 The shelf south of 62° N

2321 The shelf north of 62° N

1 Lapp names used as from 2 February1994.2 The areas are not counties ormunicipalities, but have been given codesfor use in registration of workplace.


53

Code Name Counties

1 Oslo and Akershus Oslo and Akershus2 Hedmark and Oppland Hedmark and Oppland3 Sør-Østlandet Østfold, Buskerud, Vestfold and Telemark4 Agder and Rogaland Aust-Agder, Vest-Agder og Rogaland5 Vestlandet Hordaland, Sogn og Fjordane and Møre og Romsdal6 Trøndelag Sør-Trøndelag and Nord-Trøndelag7 Nord-Norge Nordland, Troms and Finnmark

If aggregated data for the three regions called Oslo and Akershus, Hedmark and Oppland and Sør-Østlandet areused, these are to be presented under the name Østlandet.

Appendix C

Classification of Regions


54

C 068 Statistisk varefortegnelse for utenrikshandelen1993. 1993. 180 s. ISBN 82-537-3823-4

C 069 Commodity List: Edition in English ofStatistisk varefortegnelse 1993. 1993. 136s.ISBN 82-537-3824-2

C 107 Klassifikasjon av sykdommer, skader ogdødsårsaker. Systematisk del: Norsk utgave avICD-9. Rev. 1990, opptrykk 1997. Standarderfor norsk statistikk. 1993. 310s.ISBN 82-537-2966-9

C 108 Klassifikasjon av sykdommer, skader ogdødsårsaker. Stikkordregister. Norsk utgave avICD-9. [ Rev. 1990], opptrykk 1993.Standarder for norsk statistikk. 1993. 153s.ISBN 82-537-2350-4

C 136 Statistisk varefortegnelse for utenrikshandelen1994. 1994. 175s. ISBN 82-537-3959-1

C 137 Commodity List: Edition in English ofStatistisk varefortegnelse for utenrikshandelen1994. 1994. 138s. ISBN 82-537-3960-5

C 182 Standard for næringsgruppering StandardIndustrial Classification. 1994. 144s.ISBN 82-537-4063-8

C 185 Standard for kommuneklassifisering 1993Standard Classification of Municipalities 1993.1994. 59s. ISBN 82-537-4072-7

C 192 Standard for kommuneklassifisering 1994Standard Classification of Municipalities 1994.1994. 60s. ISBN 82-537-4087-5









C 460 Standard for næringsgruppering (SN94).Forkorta nynorsk versjon. 1998. 72s.ISBN 82-537-4543-5

C 513 Regionale inndelinger. En oversikt overstandarder i norsk offisiell statistikk. 1999.117s. ISBN 82-537-4608-3

'C 521 Standard for yrkesklassifisering. 1999. 127s.

ISBN 82-537-4657-1


C 527 Commodity List: External Trade 1999. 1999.147s. ISBN 82-537-4668-7

C 539 Standard for yrkesklassifisering. Forkortanynorsk versjon. 1999. 113s. ISBN 82-537-705-5

C 616 Standard for økonomiske regioner Classificationof Economic Regions. 2000. 53s. 115 kr inkl.mva. ISBN 82-537-4847-7

C 626 Standard for økonomiske regionar. Nynorskverson Classification of Economic Regions. 2001.53s. 140 kr inkl. mva. ISBN 82-537-4864-7

De sist utgitte standardene i serien Norges offisielle statistikkRecent standards in the series Official Statistics of NorwayMerverdiavgift på 23 prosent kommer i tillegg til prisene i denne oversikten hvis ikke annet er oppgitt

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