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/en/transport-og-reiseliv/statistikker/hytteform/aar
431073
statistikk
2021-02-16T08:00:00.000Z
Transport and tourism
en
hytteform, Intermediaries of cabins, guest nights, cabins, nationality of guestsTourism , Transport and tourism
true

Intermediaries of cabins

Intermediaries of cabins will now be published as intermediaries for holiday homes with a new StatBank table 13100. As from March 1st 2021 the statistics will be published monthly with Accommodation.

Updated

Key figures

0.96

million guest nights trough intermediaries in private holiday homes in 2020

Intermediaries of holiday homes. Guest nights, by nationality of the guests1
20192020
1Added respondents to the survey in 2020 means that figures from 2020 onwards are not directly comparable to figures in 2019 and before.
Total924 301959 043
Norway156 589463 351
Foreign national, total767 712495 692

See selected tables from this statistics

Table 1 
Intermediaries of holiday homes: Guest nights by region

Intermediaries of holiday homes: Guest nights by region
January 2020February 2020March 2020April 2020May 2020June 2020July 2020August 2020September 2020October 2020November 2020December 2020
 
The whole country158 791211 33583 57511 09524 92549 100180 18984 85262 21237 01616 37539 578
Oslo and Viken24 89129 1309 8128252 6596 62919 6358 7037 7925 4131 8678 939
Innlandet114 847152 43061 3214 3554 25211 52449 22011 87819 11413 6878 29115 823
Agder and South Eastern Norway14 43723 8439 0083 2008 82016 32554 88026 77314 83010 4734 15910 635
Western Norway2 3292 6729195034 84311 52851 90935 02016 9295 9821 1923 331
Trøndelag1 5502 1531 4001 8341 6161 6222 1748541 466761624645
Northern Norway7371 1071 1153782 7351 4722 3711 6242 081700242205
Unknown region000000000000

Table 2 
Intermediaries of holiday homes: Guest nights by guests' country of residence, selected countries

Intermediaries of holiday homes: Guest nights by guests' country of residence, selected countries
January 2020February 2020March 2020April 2020May 2020June 2020July 2020August 2020September 2020October 2020November 2020December 2020
 
Total158 791211 33583 57511 09524 92549 100180 18984 85262 21237 01616 37539 578
Foreign national, total133 419158 73063 3153487663 90153 55352 72419 2476 3617882 540
Norway25 37252 60520 26010 74724 15945 199126 63632 12842 96530 65515 58737 038
Denmark69 37786 82232 9021801 40138 0995 7031 3351 199891 280
Finland213500225000927918000
Sweden41 26049 44817 726797214267299178350102220
France992181260003223830000
Netherlands2 2053 661808601198434 1036279273130
United Kingdom1 3592 5105070222884579172019259
Germany12 46712 5369 286356162 17713 49039 42115 4354 329194336

About the statistics

The statistics change the name from intermediaries of cabins to intermediaries of holiday homes.

This survey covers guest nights in private cabins, holiday houses, apartments and rooms arranged by Norwegian-registered intermediaries during the year. The figures contribute to more complete coverage of the Norwegian accommodation statistics.

Significantly more intermediaries were added in 2020, and therefore more guest are nights, compared to previous years.

Definitions

Definitions of the main concepts and variables

• A private cabin/holiday house/apartment/room is one built for private, not commercial, purposes.
• Guest night: One person spending one night in a cabin/holiday house/apartment/room equals one guest night. A single person can have multiple guest nights at the same place.
• Norwegians and foreigners etc used in the publication refers to residency and not citizenship.
• Region: level between the county and the entire country. Regions consist of a certain number of counties.

Standard classifications

Classification of standard industrial classification (SN2007) NACE 55.2 https://www.ssb.no/en/klass/klassifikasjoner/6
Classification of region https://www.ssb.no/en/klass/klassifikasjoner/106

Administrative information

Name and topic

Name: Intermediaries of cabins
Topic: Transport and tourism

Responsible division

Division for Business Cycle Statistics

Regional level

Some intermediaries of holiday homes convey cabins in two or more counties. These respondents report guest nights distributed by counties. When publishing the statistics, guest nights are aggregated into regions. 

Frequency and timeliness

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

International reporting

Not relevant.

Microdata

Microdata are stored in Oracle databases and as SAS files.

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 survey was established in 1999. This supplements the commercial establishments in the accommodation statistics. 

Users and applications

Primary users of the statistics are the Norwegian Tourist Board, trade organizations and research institutes.

Knowledge of tourist traffic to Norway is vital in assessing both the results of Norwegian marketing efforts abroad and the government's effort in making this industry a growth area.

 

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

In combination with our accommodation statistics, this statistic contributes to more complete coverage of the Norwegian market in accommodation.

Legal authority

The Statistics Act of 2020, § 10 and § 20.

EEA reference

Not relevant.

Production

Population

The population includes all commercial intermediaries of private cabins, holiday houses, apartments and rooms operating in Norway.

 

Data sources and sampling

The data is obtained from electronic questionnaires. The survey also uses information from the VAT register and Statistics Norway’s Register of Establishments and Enterprises.
All intermediaries of holiday homes for short term rental are included. 

 

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.

 

Seasonal adjustment

The results are presented in its original form. 

Confidentiality

To limit the dangers of individual identification, cells based on fewer than 3 units are not published. To ensure confidentiality is preserved, counties are aggregated into regions. 

Comparability over time and space

This survey was established in 1999. In the period 1999-2005 the statistics covered both Norwegian and foreign intermediaries, but only intermediaries with activity in Norway since 2006. This change compromises comparability over time.
From 2020, the statistics cover more Norwegian intermediaries. This means significantly more guest nights reported without necessarily reflecting increased activity. Figures from 2020 onwards are therefore not comparable with figures before 2020. Figures from 2020 and onwards, are comparable in the future. 

Accuracy and reliability

Sources of error and uncertainty

Incorrect responding can occur due to incorrect data entry, interpretational errors, and other reasons. As a result, figures will occasionally be edited.

Measurement errors are caused by the questionnaire design or the respondent’s internal systems for obtaining the data. One source of measurement errors may be ambiguous guidelines. The introduction of electronic data collection has reduced the scope of measurement errors.

Processing errors may occur when Statistics Norway processes the data. Typical examples are misinterpretations, or when correct answers are assumed to be false and corrected. Electronic data collection through Altinn reduces these kinds of errors.

Errors of non-response refer to errors that either occur due to missing questionnaires or blank boxes in the questionnaire. In this situation, respondents are re-contacted.

Sampling errors refer to the uncertainty that occurs in sample surveys as opposed to a full count. These errors are not relevant for intermediaries of holiday homes since all active units are included in the survey.

Coverage errors refer to errors in the registers that define the population. Units may be incorrectly included in or excluded from the population, usually because of delayed register updates. Calculations on the size and significance of such errors have not yet been carried out. However, such errors are not considered to be greater than for other quantitative short-term statistics.

Modeling errors are related primarily to problems with seasonal adjustment of time series. This survey does not publish seasonally adjusted statistics.

Revision

Not relevant

Contact