367745
/en/transport-og-reiseliv/statistikker/overnatting/maaned
367745
statistikk
2019-11-01T08:00:00.000Z
Transport and tourism
en
overnatting, Accommodation, hotels, groups of cabins, camping sites, youth hostels, nationality of guests, occupancy rate, beds, hotel rooms, price per room, turnover, holiday stays, course/conference stays, business stays, occupation, SvalbardTourism , Transport and tourism
true

Accommodation

Updated

Next update

Key figures

4.2 %

change in guest nights from September 2018 to September 2019

Guest nights
Guest nightsChange in per cent
September 2019So far this yearSeptember 2018 - September 2019So far this year vs last year
Guest nights, total2 786 25429 336 6514.23.0
Hotels and similar establishments2 175 59319 940 4995.14.6
Camping sites404 3797 109 1510.81.2
Holiday dwellings176 8022 002 4600.2-4.3
Youth hostels29 480284 5418.7-1.6

See selected tables from this statistics

Table 1 
Hotels. Open establishments, beds and rooms, by county

Hotels. Open establishments, beds and rooms, by county
EstablishmentsBedsRooms
September 2018September 2019September 2018September 2019September 2018September 2019
The whole country952983183 630186 45682 84386 266
Østfold27273 3453 4711 5791 678
Akershus444515 72615 7277 7147 752
Oslo707225 65028 87812 92914 613
Hedmark36366 3536 1842 4762 463
Oppland808713 13412 4855 3365 076
Buskerud615911 91611 1024 5504 422
Vestfold282910 38210 3773 4533 571
Telemark32355 1695 5302 0782 259
Aust-Agder20202 3542 265925914
Vest-Agder26256 3275 9992 2912 260
Rogaland667013 18313 4066 4506 955
Hordaland1019920 33520 3959 5429 667
Sogn og Fjordane64676 6777 2093 2163 513
Møre og Romsdal59618 4738 1304 1634 139
Trøndelag859014 06714 8876 4257 025
Nordland77828 5128 6614 0814 228
Troms - Romsa36387 1626 9253 2153 285
Finnmark - Finnmárku32323 9153 8311 9791 944
Svalbard89950994441502

Table 2 
Guest nights at hotels, by country of residence.

Guest nights at hotels, by country of residence.
Guest nightsPer cent
September 2018September 2019September 2018 - September 2019
Total2 069 2222 175 5935.1
Foreign national, total533 611568 0766.5
Norway1 535 6111 607 5174.7
Denmark22 90024 7838.2
Finland10 76711 2994.9
Iceland1 7441 92910.6
Sweden51 15050 985-0.3
Albania129278115.5
Andorra84273225.0
Belgium5 6016 84322.2
Bosnia-Herzegovina54159194.4
Bulgaria301661119.6
Estonia1 3971 84832.3
France13 65716 92423.9
Greece1 3941 156-17.1
Belarus209674222.5
Ireland1 6932 02919.8
Italy10 30711 2008.7
Kosovo142471.4
Croatia1 2221 165-4.7
Latvia1 1491 2327.2
Liechtenstein12718444.9
Lithuania2 4683 29533.5
Luxembourg4874982.3
North Macedonia179134-25.1
Malta24036050.0
Moldova17144747.1
Monaco52116123.1
Montenegro10614133.0
Netherlands20 56320 8411.4
Poland11 61113 64317.5
Portugal1 7844 390146.1
Romania2 4632 017-18.1
Russia4 8736 72037.9
San Marino48100.0
Serbia243232-4.5
Slovakia1 061960-9.5
Slovenia39067172.1
United Kingdom42 70144 1043.3
Spain21 50523 4729.1
Switzerland10 87010 568-2.8
Czech Republic2 2132 2541.9
Turkey8161 882130.6
Germany46 37049 8577.5
Ukraine1 1281 42025.9
Hungary1 3091 77935.9
Austria3 7454 74626.7
Vatican City State607321.7
South Africa6581 458121.6
United Arab Emirates2 0592 2408.8
India6 3008 60836.6
Indonesia2 0982 1301.5
Malaysia2 0522 69331.2
Qatar56281545.0
Singapore2 4402 76813.4
Taiwan5 4854 587-16.4
Thailand3 2703 024-7.5
Japan12 43111 616-6.6
China56 61954 919-3.0
South Korea9 5157 849-17.5
Cyprus23627215.3
Canada4 0874 78517.1
Mexico8581 24645.2
United States82 06391 56911.6
Brazil5 8355 714-2.1
Australia11 73010 671-9.0
New Zealand...
The rest of Europe...
The rest of Europe 2018-00.
The rest of South America3 6423 7021.6
The rest of Oceania1 4651 5717.2
The rest of Asia...
The rest of Asia 2018-15 36914 669-4.6
The rest of Africa3 6803 199-13.1
Unknown...

Table 3 
Hotels. Utilisation of capacity by county

Hotels. Utilisation of capacity by county
September 2018September 2019
TotalForeign national, totalNorwayUtilisation of beds (per cent)Utilisation of rooms (per cent)TotalForeign national, totalNorwayUtilisation of beds (per cent)Utilisation of rooms (per cent)
The whole country2 069 222533 6111 535 61138.060.12 175 593568 0761 607 51738.960.5
Østfold35 7705 62330 14736.359.337 5036 14131 36235.856.5
Akershus214 35043 490170 86045.471.3217 10244 295172 80745.069.9
Oslo432 941159 392273 54956.379.0482 105169 248312 85754.776.8
Hedmark51 1158 17342 94231.051.646 9185 71941 19928.950.7
Oppland109 54220 92288 62029.142.9107 99719 71888 27930.847.0
Buskerud110 69822 30288 39631.255.6108 69225 22183 47133.255.0
Vestfold50 7476 02844 71916.335.948 9516 66942 28215.634.2
Telemark42 5254 99637 52927.544.544 4364 75839 67826.342.3
Aust-Agder15 9482 04813 90022.641.914 7982 12312 67521.340.1
Vest-Agder48 2593 85944 40025.449.649 2794 91044 36927.553.9
Rogaland132 70527 825104 88033.653.9162 52937 710124 81939.760.3
Hordaland264 219101 502162 71743.762.5279 258107 878171 38044.964.1
Sogn og Fjordane76 22838 58737 64139.552.880 41438 71541 69938.753.9
Møre og Romsdal95 92328 18667 73738.056.491 78425 90265 88237.556.7
Trøndelag164 95316 913148 04039.163.6170 56320 767149 79637.459.4
Nordland89 21213 99775 21535.257.394 14115 74478 39736.056.5
Troms - Romsa82 45517 35965 09638.562.987 38221 33866 04441.664.6
Finnmark - Finnmárku39 9088 24231 66634.051.640 3017 34932 95235.855.1
Svalbard11 7244 1677 55741.161.011 4403 8717 56937.951.8

Table 4 
Hotels. Revenue and price per room, by county

Hotels. Revenue and price per room, by county
September 2019
Revenue (nok)Price per room (NOK)
The whole country1 557 650 569994
Østfold26 728 482938
Akershus171 196 7911 032
Oslo381 780 1921 114
Hedmark27 757 161854
Oppland58 853 448888
Buskerud64 211 612905
Vestfold33 423 876902
Telemark27 045 694925
Aust-Agder10 866 299965
Vest-Agder31 839 227873
Rogaland116 618 917911
Hordaland193 856 3661 025
Sogn og Fjordane57 354 4351 055
Møre og Romsdal63 773 434903
Trøndelag124 030 697971
Nordland73 006 4871 010
Troms - Romsa56 968 362882
Finnmark - Finnmárku29 305 979926
Svalbard9 033 1101 143

Table 5 
Purpose of guest nights at hotels by county

Purpose of guest nights at hotels by county
September 2018September 2019
Guest nights, totalCourse, conferenceOccupationHoliday, recreationGuest nights, totalCourse, conferenceOccupationHoliday, recreation
Guest nights2 069 222295 190803 205970 8222 175 593283 658855 5851 036 350
Østfold35 7709 00813 45513 30637 5038 20517 48011 818
Akershus214 35066 97684 19763 176217 10265 41087 68364 009
Oslo432 94136 921195 678200 342482 10539 246199 040243 819
Hedmark51 1155 19516 72929 19146 9185 72518 51722 676
Oppland109 54211 93722 28275 323107 99716 74124 29566 961
Buskerud110 69821 95125 01163 736108 69219 13124 41365 148
Vestfold50 74719 05218 45313 24248 95113 74917 87117 331
Telemark42 5254 73414 83422 95544 4363 71617 09923 621
Aust-Agder15 9481 4036 8247 72114 7982 1856 6775 936
Vest-Agder48 2596 06019 95722 24249 2795 96322 46420 852
Rogaland132 70518 75369 21844 734162 52916 50284 95861 069
Hordaland264 21921 27683 311159 632279 25825 15289 110164 996
Sogn og Fjordane76 2286 34214 79955 08780 4147 92820 36952 117
Møre og Romsdal95 9239 58241 59044 75091 7846 59940 85944 326
Trøndelag164 95324 85278 34361 758170 56322 20581 39866 960
Nordland89 21210 78645 23933 18794 1419 57647 21237 353
Troms - Romsa82 45514 71232 23035 51387 38210 60836 20840 566
Finnmark - Finnmárku39 9083 64318 73417 53140 3013 98719 83716 477
Svalbard11 7242 0072 3217 39611 4401 0309510 315

Table 6 
Camping sites, campinghuts and rooms, by county

Camping sites, campinghuts and rooms, by county
September 2019
Camping sitesHuts/rooms
The whole country5417 887
Østfold16140
Akershus37
Oslo153
Hedmark40555
Oppland621 021
Buskerud42491
Vestfold10124
Telemark30478
Aust-Agder17361
Vest-Agder11362
Rogaland22244
Hordaland45564
Sogn og Fjordane50732
Møre og Romsdal44681
Trøndelag62694
Nordland48808
Troms - Romsa22265
Finnmark - Finnmárku16307

Table 7 
Country of residence of campingguests, by county

Country of residence of campingguests, by county
September 2019TotalForeign national, totalNorwayDenmarkFinlandIcelandSwedenAlbaniaAndorraBelgiumBosnia-HerzegovinaBulgariaEstoniaFranceGreeceBelarusIrelandItalyKosovoCroatiaLatviaLiechtensteinLithuaniaLuxembourgNorth MacedoniaMaltaMoldovaMonacoMontenegroNetherlandsPolandPortugalRomaniaRussiaSan MarinoSerbiaSlovakiaSloveniaUnited KingdomSpainSwitzerlandCzech RepublicTurkeyGermanyUkraineHungaryAustriaVatican City StateSouth AfricaUnited Arab EmiratesIndiaIndonesiaMalaysiaQatarSingaporeTaiwanThailandJapanChinaSouth KoreaCyprusCanadaMexicoUnited StatesBrazilAustraliaNew ZealandThe rest of EuropeThe rest of Europe 2018-The rest of South AmericaThe rest of OceaniaThe rest of AsiaThe rest of Asia 2018-The rest of AfricaUnknown
The whole country404 37999 558304 8213 1442 474628 960022 3002314062 5523497881 2390130794111 8428201281089 1205 262119571977014423952 1052 1683 7371 74514040 0545651171 332520888138827042149205391038001440431151 13487491..0231376.1 01338.
Østfold19 3631 74017 623261702600019002440001500802400000002352530000611019301939044150410000000000000040703..006.62.
Akershus::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::..:::.::.
Oslo::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::..:::.::.
Hedmark23 3933 21020 1831291401 19800430011150001800620900000036537001000002814143300921603100000100000800101701..012.50.
Oppland53 3207 98445 336375711378200183031720400673002901560100001 1671911519004911314241235333 296189137078203400101664031483045..0819.437.
Buskerud40 8813 32137 5601338141300620043133617008226401200839218432028000179609843491 38219254001200409400100301707..02160.280.
Vestfold7 8064307 376123036003000202000100203000000262001020042214112170480000000000000000000..001.00.
Telemark47 3942 14645 2482811202360038001350021300201600600032425001600502537583488467350000001000002600201609..001.02.
Aust-Agder16 3944 56511 8293926026900910053200010007018001000508523171706312628953202 748233100813010010071020504..022.1160.
Vest-Agder9 1282 4416 687372026002500025004501631020000001567730900310615158201 625321640020000000010030400..021.13.
Rogaland16 7126 51310 199473425308001802265260904680111526780000060920431320073841011592703 13220388002021200600788021017216..0342.1255.
Hordaland27 12912 33114 7981464372680228904543488357225022910517230560001 2845039458136001646224636845612405 2241025512700105150761623011091807301011931..04610.1026.
Sogn og Fjordane32 69414 59818 09629245271 09400463011442541426161067344237160150001 520621122919500937359557355204185 2218061183366740621261238102726345012634701962..036129.2517.
Møre og Romsdal28 64612 71715 929159583744001680016290742111200031011810050007561 72937101150090334373275254105 559155148028030047105277121319932098026027155..02710.1741.
Trøndelag31 7207 20824 51227313127580014101748001450320102650020003071 0606070005031494019250902 6341742440000080231115107010013..075.170.
Nordland14 7416 5678 174140477099400231017393060351690110066001004101347616100290105763755102 36539679243240360841191322023854446..02711.82.
Troms - Romsa12 0974 6707 42763551121900162006210700411902100460170004521022234001113731273386101 1787286904012092011291411437026038464..0915.1340.
Finnmark - Finnmárku8 8293 8794 9508996601860068037714230012903857070040002498030410600653595212829403992001206039100193160201004..0296.33.
Svalbard...........................................................................

Table 8 
Guest nights for camping sites by type of accommodation and county

Guest nights for camping sites by type of accommodation and county
September 2019
Seasonal contractsGuest nights, totalTent/caravanCamperHutSeasonal contract
The whole country18 198404 37969 62286 838131 590116 329
Østfold1 76419 3638359953 40714 126
Akershus::::::
Oslo::::::
Hedmark1 52523 3931 9913 5159 1248 763
Oppland2 83553 3205 71010 95816 07820 574
Buskerud2 35940 88114 9764 2407 50314 162
Vestfold7457 8061 8637281 9923 223
Telemark1 14247 39414 12617 2437 8698 156
Aust-Agder85116 3941 4143 7856 3834 812
Vest-Agder4239 1287781 7852 5973 968
Rogaland98816 7122 5784 8434 7264 565
Hordaland1 01727 1293 9036 07311 1635 990
Sogn og Fjordane51932 6944 1487 10817 0424 396
Møre og Romsdal76428 6462 2517 25313 7295 413
Trøndelag1 81731 7203 5745 95611 38710 803
Nordland58614 7412 6704 3565 5542 161
Troms - Romsa61212 0972 4752 9285 0501 644
Finnmark - Finnmárku518 8297131 8545 889373

Table 9 
Number of holiday dwelings by county

Number of holiday dwelings by county
September 2019
Holiday dwellingsCottages/rooms
The whole country4895 856
Østfold18
Akershus396
Oslo266
Hedmark20159
Oppland60961
Buskerud40803
Vestfold768
Telemark23267
Aust-Agder12141
Vest-Agder16314
Rogaland31250
Hordaland40434
Sogn og Fjordane58478
Møre og Romsdal38233
Trøndelag43483
Nordland55702
Troms - Romsa25215
Finnmark - Finnmárku15178

Table 10 
Country of residence for guests at holiday dwellings, by county

Country of residence for guests at holiday dwellings, by county
September 2019TotalForeign national, totalNorwayDenmarkFinlandIcelandSwedenAlbaniaAndorraBelgiumBosnia-HerzegovinaBulgariaEstoniaFranceGreeceBelarusIrelandItalyKosovoCroatiaLatviaLiechtensteinLithuaniaLuxembourgNorth MacedoniaMaltaMoldovaMonacoMontenegroNetherlandsPolandPortugalRomaniaRussiaSan MarinoSerbiaSlovakiaSloveniaUnited KingdomSpainSwitzerlandCzech RepublicTurkeyGermanyUkraineHungaryAustriaVatican City StateSouth AfricaUnited Arab EmiratesIndiaIndonesiaMalaysiaQatarSingaporeTaiwanThailandJapanChinaSouth KoreaCyprusCanadaMexicoUnited StatesBrazilAustraliaNew ZealandThe rest of EuropeThe rest of Europe 2018-The rest of South AmericaThe rest of OceaniaThe rest of AsiaThe rest of Asia 2018-The rest of AfricaUnknown
The whole country176 80287 08089 7223 0901 236415 520009730627861 705412922085505416641 739260380033 6994 0402301961 397033391082 2049691 0522 7971533 834448359377010648361925823114207432672 0331453421552 19275532..020394.8528 827.
Østfold::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::..:::.::.
Akershus12 47310 3922 081814051600000293100100240600010003435001600001733422141372486610000000000000000611..001.18 783.
Oslo::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::..:::.::.
Hedmark4 2231 2183 00528400643002002800000900600000062180200000272432010500000000000022000001401..002.00.
Oppland31 7134 50227 21134820401 39100112001710046021201810030005752178117005076297634084810270015300023211500130113232..0010.420.
Buskerud13 3833 07610 307249110046200300049150001100202250000002478320131001064756028442150000020000000414001501100..000.216.
Vestfold64421642814002800000400000000020000000580000009060000110000100000000000000200..000.00.
Telemark7 1962 6984 4981 316152247001300320002000420040002053000080002593230410153000000020000500303608..000.366.
Aust-Agder3 9846793 3058200100100010001000000000001271210010000110203350000000000000020000201..000.00.
Vest-Agder7 0943 3483 7462470010002906040000000064000000821200020000040004002 65400200000000000000002400..000.60.
Rogaland8 1654 4763 689300156009000192004030000000000139126205100122036165003 57307270202040000026001003406..000.200.
Hordaland14 0558 9465 10923110207009800926517195101100247001000323262172405100118159152623904 795494320015679103501953306813473078183192889..08114.7519.
Sogn og Fjordane11 1366 5364 6001101133380010700116503072701220630050036562971527003122171177543992 7221322110755631404977261829024345134732483..0318.1253.
Møre og Romsdal7 9065 5542 352168011500370341280031030000430000001141000288003041531359803 9103040000000820403811025755022..027.290.
Trøndelag18 29012 5105 780115503070077002114023730072049000000161192002220090020471 55109 41203500002000000000000400..000.00.
Nordland20 98814 9656 02321436024847003470221295801017560004401252608000465504221493020086660633466039523 208514163002883619302052806831251 1013401761599620253..06143.15810.
Troms - Romsa8 2974 2054 092762720175008400123770490700000309001600034634200350000028631292001 0641950000100000304030702101..007.2440.
Finnmark - Finnmárku3 7492 3081 44148204800100664001708000010000001116170053001060906270268890300030120000510031259012..002.130.
Svalbard...........................................................................

Table 11 
Type of establishments and country of residence for guest nights.

Type of establishments and country of residence for guest nights.
September 2019
Guest nights, totalHotels and similar establishmentsCamping sitesHoliday dwellingsYouth hostels
Total2 786 2542 175 593404 379176 80229 480
Foreign national, total767 914568 07699 55887 08013 200
Norway2 018 3401 607 517304 82189 72216 280
Denmark31 63124 7833 1443 090614
Finland15 07211 2992 4741 23663
Iceland2 0571 929624125
Sweden66 35050 9858 9605 520885
Albania279278001
Andorra279273204
Belgium10 3336 8432 300973217
Bosnia-Herzegovina161159200
Bulgaria75866131624
Estonia3 0871 84840678647
France21 88316 9242 5521 705702
Greece1 2071 15634413
Belarus904674971294
Ireland2 4152 0298822078
Italy13 49011 2001 239855196
Kosovo2424000
Croatia1 3601 1651305411
Latvia2 3571 232794166165
Liechtenstein1991841140
Lithuania7 3823 2951 8421 739506
Luxembourg60949882263
North Macedonia134134000
Malta5483601283822
Moldova1631441018
Monaco116116000
Montenegro1641418312
Netherlands34 06220 8419 1203 699402
Poland23 45413 6435 2624 040509
Portugal4 7994 39011923060
Romania2 9942 017571196210
Russia9 2356 7209771 397141
San Marino88000
Serbia26123214312
Slovakia1 81396042333991
Slovenia9246719510850
United Kingdom49 84244 1042 1052 2041 429
Spain27 12123 4722 168969512
Switzerland15 65710 5683 7371 052300
Czech Republic7 0022 2541 7452 797206
Turkey2 0551 8821401518
Germany125 63649 85740 05433 8341 891
Ukraine2 5571 420565448124
Hungary2 4221 779117359167
Austria6 5844 7461 332377129
Vatican City State7873500
South Africa1 5031 458201015
United Arab Emirates3 2092 2408886417
India9 8398 608138836257
Indonesia2 1922 13081935
Malaysia3 2762 69327025855
Qatar8598154220
Singapore3 2432 76814931115
Taiwan5 3664 587205420154
Thailand3 8613 0243974355
Japan12 09111 616103267105
China58 34254 9198002 033590
South Korea8 2937 849144145155
Cyprus275272030
Canada5 8354 785431421198
Mexico1 3601 246155544
United States95 57991 5691 1342 192684
Brazil5 9235 714877547
Australia12 12210 671491532428
New Zealand.....
The rest of Europe.....
The rest of Europe 2018-00000
The rest of South America4 3063 702231203170
The rest of Oceania2 1381 5713769497
The rest of Asia.....
The rest of Asia 2018-16 69514 6691 013852161
The rest of Africa12 1413 199388 82777
Unknown.....

About the statistics

The accommodation statistics measure the level and development of the guest nights at Norwegian accommodation establishments. Accommodation establishments in these statistics refer to hotels, short-term holiday dwellings, camping sites, and youth hostels. They do not refer to intermediaries of private homes such as Airbnb. 

Definitions

Definitions of the main concepts and variables

The number of businesses for all accommodation establishments corresponds to the number of establishments open to the public at least one day during the reference period.

Country of residence: International visitors are classified by the country where they reside, not necessarily their citizenship. From a tourism perspective, is everyone who relocates from one country to another, and stays for longer than a year, consider residing in that country. Citizenship is indicated in the person's passport (or other identification documents), while the country of residence must be determined by means of question or inferred e.g. from the person's address.

Guest night: One person accommodated one night.


Beds and rooms correspond to the number of beds and rooms in businesses open to the public.

The number of rooms and beds represent two different ways of measuring hotel capacity. In theory, hotels with only double rooms can obtain an occupancy rate of 100 per cent, while the bed capacity is 50 per cent only. The utilisation of the room and the utilisation of bed capacity may, therefore, develop differently from one period to another.


The utilisation of bed capacity corresponds to the number of guest nights in per cent of the number of available beds, where the number of available beds is the number of beds multiplied by the establishment's number of open days during the reference period.

The utilisation of room capacity corresponds to the number of occupied rooms in per cent of the number of available rooms, where the number of available rooms is the number of rooms multiplied by the establishment's number of open days during the reference period.

Accommodation sales at hotels are the sales figure for the accommodation activity, not including any breakfast or other extra services, even though they might be included in the price of the stay. Sales are published without any VAT. 

From January 1st, 2016 and 2018, the VAT for accommodation sales increased by 2 per cent from 8 to 10 in 2016, and from 10 to 12 per cent in 2018. This may affect some comparability over time. 

The three purposes of guest nights at hotels are divided as follows,

Course, conference are guests who are at a course or a conference, independent whether the conference is at the hotel or in the area. If the guest has a joining family member, the family member will be registered as a course, conference guest.

Occupation is guests who are traveling for business, contractors, public employees or equivalent, and are staying at a hotel while conducting their business. If they have joining family members, they too will be registered as occupation, even though the family members may be traveling for holiday purposes.

Holiday, recreation are guests who are traveling for holiday or recreation.


Holiday dwellings are self-catering huts/rooms with limited service. The service does not include the making of beds, cleaning of rooms and sanitary equipment. The establishments must be under the same management, be run on a commercial basis and have their own reception.

Unit: Family or party of tourists who share a hut/room irrespective of the number of people in the group.

Unit night: Unit used one night.

Seasonal contract: Caravan on seasonal contract means the rent of an area at a fixed price irrespective of use.

The total capacity for a camping site is the total number of huts and areas for tents/caravans or campers.

Standard classifications

Lodging turnover is exclusive of turnover for food, regardless of meals being included in the sales price.

There may be changes in capacity during the year. On the basis of information on bed and room capacity per month, the annual or seasonal capacity is calculated as a monthly average.

Administrative information

Name and topic

Name: Accommodation
Topic: Transport and tourism

Next release

Responsible division

Division for Business Cycle Statistics

Regional level

County. Municipality by request.

Frequency and timeliness

Monthly. Published 4-5 weeks after the end of the month. 

International reporting

Data are reported to Eurostat, the UN, and the OECD.

Microdata

Microdata is stored in Oracle databases and as files in SAS and ASCII format.

Background

Background and purpose

The purpose of the statistics is to measure the level and development in the guest nights at Norwegian collective accommodation establishments, which are an important part of the Norwegian tourism industry.

The accommodation statistics for hotels and similar establishments were established in 1950.
The accommodation statistics for camping sites were established in 1968.
The accommodation statistics for holiday dwellings were established in 1998.

Figures for Hostelling International Norway were published for the first time in Statistics Norway's annual publication in 1965 and included in Statistics Norway's monthly figures from July 2002.

The scope of the statistics has been revised several times. Further information is provided in chapter Production - comparability over time and space.

Users and applications

The Ministry of Trade, Industry and Fishery, Innovation Norway (formerly the Norwegian Tourist Board), and trade organisations, research institutes and international organisations such as Eurostat use the statistics.

Knowledge of the tourist traffic to Norway is important for research and for measuring the results of Norwegian marketing efforts abroad, and also form a basis for the Government's backing of tourism as a growth area.

The Division for National Accounts in Statistics Norway is also an important user.

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 8 am. Prior to this, a minimum of three months' advance notice is given in the Statistics Release Calendar.

Coherence with other statistics

The Division for National Accounts uses the hotel data in their quarterly publishing.

The accommodation statistics are used to check the quality of the Travel- and Holiday Survey and the Structural Business Statistics for Hotels and Restaurants.

The accommodation statistics are also used for estimates in the quarterly turnover index for transport and tourism.

Legal authority

The Statistics Act of 1989, §§2-2 and 2-3

EEA reference

REGULATION (EU) No 692/2011 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 6 July 2011 concerning European statistics on tourism and repealing Council Directive 95/57/EC

Production

Population

The statistics cover all hotels and similar establishments, camping sites with a capacity of at least 20 units in total capacity. This capacity includes places for campers, tents and bed places in camping huts.Holiday dwellings with a capacity of at least 10 beds, and all youth hostels.

Data sources and sampling

Data reported directly from the establishment's booking systems and Internet questionnaire.

Total count for establishments that are larger than the threshold set out in Chapter Production - population. Data for minor establishments - above cut off - are anyway calculated.

Collection of data, editing and estimations

The questionnaires are sent out at the end of the month M. The response deadline is the 10th of the month M+1.

 All questionnaires and all data reported electronically are subject to logic and mathematical checks.

For non-respondents, missing values are calculated based on data from similar establishments in the same stratum.

There is a high statistical correlation between the share of business guest nights and the price the hotel obtains in the market. This statistical correlation is used to calculate room revenue and other lodging revenue for establishments that have not submitted information on turnover.

About 2-3 per cent of the establishments do not respond. For these establishments, the number of guest nights and sales are calculated. These calculations are based on the assumption that non-respondents have the same utility of capacity for beds and rooms as the respondents within the same strata (hotel and region. With knowledge about capacity for all non-respondents, the number of guest night can be calculated.

Seasonal adjustment

 

Figures are published in original forms. Some figurs for hotells are seasonally adjusted by using X12ARIMA, http://www.ssb.no/maanedshefte/del1/kifig46n.shtml

Confidentiality

The accommodation statistics is released according to the directions given in the Statistics Act, section 2-6:

Information collected in accordance with any prescribed obligation to provide information, shall under no circumstances be published in such a way that it may be traced back to the supplier of any data or to any other identifiable individual to the detriment of the person concerned, or to the unreasonable detriment of the latter if the supplier of the data or the individual is an undertaking of the kind mentioned in § 5-1 third paragraph[1] or a public organisation.

Comparability over time and space

The hotel statistics were established in 1950. Due to several changes in the scope of the statistics, these are not comparable for the whole period. Except for two extensions (1990 and 1995), when more nationalities were included in the statistics, the hotel statistics are fully comparable from 1985. In connection with the revision of the Hotel Act in 1984, the approval system was removed and this resulted in an increase in the number of establishments. The statistical gap from 1984 to 1985 is documented in "Norsk Hotellnæring 1950 - 1990. Sosiale og økonomiske studier 77, Statistisk sentralbyrå" (Norwegian only).

The camping statistics were established in 1968 and were revised in 1988, 1996 and 1998.
In 1988, a register with information on opening hours and capacity was established, enabling estimates for non-respondents.

In 1996, more nationalities were included, in accordance with Council Directive 95/57/EC of 23 November 1995 on the collection of statistical information in the field of tourism.

In 1998, the cover was extended to include overnight stays in caravans on seasonal contracts. The camping statistics were also extended to include the winter and autumn season and to include consecutive monthly publication. The camping statistics are therefore comparable from 1998.

The holiday dwelling statistics were established in 1998 and can be compared from 1998 to 2002. In 2002, some establishments in the hotel statistics were reclassified as holiday dwellings. As a result the statistics are not comparable from 2002 to 2003.

The holiday dwellings and the camping sites reported their statistics in unit nights (see Chapter Production - poulation). Unit nights were however converted to number of guest nights based on empirical studies, indicating that an average family/travel company sharing a hut consists of three people.Since January 2013, the holiday dwellings and campsites have been asked to report guest nights. However, some camping sites have continued to report unit days. A major revision and correction of figures from such camping sites was carried out in June 2014. This affects comparability with previous periods to a degree, but in the long term will lead to improved guest night figures for camping sites.

From 2004, some larger holiday dwellings with larger huts report number of guest nights instead. These holiday dwellings accommodate families/travel companies of more than three people. This has affected the comparability from 2003 to 2004.

From January 2013 the prodction of the statistics are severly changed. New cut off based on international regulations (cf. Poulation above). It is guest nights that are collected (not unit nights) and establishments ard identified in Business Register and some other business surveys. These have lead to more establishments in the population. Some establishments have changed NACE. All together the changes makes data for camping and holiday dwellings NOT comparable with data from 2012 and before. Data for hotels are comparable, but use data on minor regional area, municipalities, with careness.

Figures for Svalbard have in 2013 been included in the ordinary tourism statistics twice. First Svalbard was include from March 2013.  In July 2013 figures for Svalbardt were included for January and February in the Statistics Bank. Thes might lead to inconsistency between data for Norway in the bank, and data for Norway in the articles for January - May 2013.

Accuracy and reliability

Sources of error and uncertainty

In general, errors can occur both when the questionnaire is being completed (respondents submit incorrect information).

Non-response: By the date, the questionnaires are due back the response rate is about 70 per cent. After reminders have been sent out the response increases to 97-98 per cent. Total and partial non-response are calculated automatically. Calculation or imputation of values for no-response establishments is based on other establishments' data in the same stratum. Stratum is given by county and accommodation capacity. By imputation of values, there may be significant uncertainty which again may have a major impact on data at smaller regional areas.

Accommodation statistics updated its population regularly against Business Register since January 2013. New establishments, establishments that had changed their major activities was either added to or removed from the population. There may be a delay as well as errors and omissions in this process, which can reduce the comparability of data over time.

Guest nights for camping sites and holiday dwellings are in most cases based on assessments. Errors and omissions in reporting in one period uncovered in editing in later periods can reduce data comparability, especially for smaller regional areas. Such errors may in some cases be enlarged through the calculation of non-responses.

Revision

Not relevant