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Documentation of statistics: Nights spent at hotels, holiday resorts and youth hostels

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Nights spent at hotels, holiday resorts and youth hostels 2026 , Previous versions , Nights spent at hotels, holiday resorts and youth hostels 2025, Nights spent at hotels, holiday resorts and youth hostels 2024, Nights spent at hotels, holiday resorts and youth hostels 2023, Nights spent at hotels, holiday resorts and youth hostels 2022, Nights spent at hotels, holiday resorts and youth hostels 2021, Nights spent at hotels, holiday resorts and youth hostels 2020, Nights spent at hotels, holiday resorts and youth hostels 2019, Nights spent at hotels, holiday resorts and youth hostels 2018, Nights spent at hotels, holiday resorts and youth hostels 2017, The purpose of the statistics "Nights spent at hotels, holiday centers and hostels" is to describe the occupancy and capacity of Danish hotels, holiday centers and hostels. The survey is used by i.e. EU, business and tourism organizations and municipalities in order to analyze the development in tourism. The survey has been compiled since 1969, but is only comparable from 1992 and onwards. , Statistical presentation, The accommodation survey "Nights spent at hotels, holiday centers and hostels" is a monthly summary on occupancy and capacity in Danish hotels, holiday centers and hostels with a minimum capacity of 40 bed places. The accommodation survey is broken down by capacity and geography of the establishment as well as the purpose and country of residence of the guest. Furthermore there is an annual census on occupancy and capacity for hotels, holiday centers and hostels with 10-39 bed places., Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish hotels, holiday resorts, hostels etc. with a minimum of 40 bed places and yearly from Danish hotels, holiday resorts, hostels etc. with 10-39 bed places using an online questionnaire or by using a system-to-system solution where the accommodations booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The accommodation statistics are relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. The accommodation statistics are under constant review and the user needs are rapidly changing with the emergence of peer-to-peer platforms such as AirBnB. , Read more about relevance, Accuracy and reliability, The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for hotels, holiday centers and hostels etc. with a minimum of 40 bed places are published monthly approx. 40 days after the end of the reference month. The statistics is published without delay according to the planned publication tables. The final statistics are published annually together with the statistics for Hotels, holiday centers and hostels etc. with 10-39 bed places. The Annual statistics are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, The accommodation statistics is comparable with the other EU-statistics on tourism. The breakdown into nationalities has expanded from 13 to 51 since 1996 and this can weaken the comparability when using time series. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data are published in statbank at , Hotels, holiday centres and hostels, og , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at the , subject page, ., Statistics on a municipality level or for a province can be found at VisitDenmark. If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact DST Consulting., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-hotels--holiday-resorts-and-youth-hostels

Documentation of statistics

Documentation of statistics: International Trade in Services

Contact info, External Economy, Economic Statistics , Selma Mustafic Mulalic , +45 23 69 46 64 , smu@dst.dk , Get documentation of statistics as pdf, International Trade in Services 2025 , Previous versions , International Trade in Services 2024, International Trade in Services 2023, International Trade in Services 2022, International Trade in Services 2021, International Trade in Services 2020, International Trade in Services 2018, International Trade in Services 2017, International Trade in Services 2016, International Trade in Services 2015, International Trade in Services 2014, Documents associated with the documentation , Omlægning af tabeller om betalingsbalance og udenrigshandel i statistikbanken den 10. juni 2024 (pdf) (in Danish only), Foreign trade in services describes the trade in services (imports and exports) with other countries. The trade is described both in terms of type of services and in terms of partner country/area. The statistics were introduced in connection with the termination of the settlement statistics in Danmarks Nationalbank by new-year 2004/05, cf. Balance of payments. , Statistical presentation, The statistics show Denmark's imports and exports of services from/to other countries distributed on partner countries and approx. 70 service categories. , Read more about statistical presentation, Statistical processing, Data is collected every month. The data is screened for obvious and likely errors. The completeness of the reports is checked. The data is used for compiling the statistics through a process of grossing up for the trade not covered. The statistics is accordingly to be considered to completely cover the Danish foreign trade in services., Read more about statistical processing, Relevance, The International trade in services statistics constitute an essential part of the balance of payments statistics and of the rest-of-the-world account of national accounts. The statistics are occasionally commented upon in the public debate. , Read more about relevance, Accuracy and reliability, In the first release of the figures for foreign trade in services there will be a certain degree of uncertainty as a minor part of the data has either not been reported yet or has errors to a degree that it cannot be included in the release. In these cases data will be supplemented by estimations. The reliability of the figures for a given quarter increases in later releases. The final figures are to be considered as fairly reliable, to a decreasing degree though the more detailed level that is applied., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every quarter approx. 40 days after the end of the reference period and are normally published without delays as to the preannounced dates.., Read more about timeliness and punctuality, Comparability, The International trade in services statistics are compiled according to international standards. Accordingly they are comparable with the statistics of other developed countries., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , International trade in services, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services

Documentation of statistics

Documentation of statistics: Business Enterprise Research and Development (BERD)

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Business Enterprise Research and Development (BERD) 2024 , Previous versions , Business Enterprise Research and Development (BERD) 2023, Business Enterprise Research and Development (BERD) 2022, Business Enterprise Research and Development (BERD) 2021, Business Enterprise Research and Development (BERD) 2020, Business Enterprise Research and Development (BERD) 2019, Business Enterprise Research and Development (BERD) 2017, Business Enterprise Research and Development (BERD) 2016, Business Enterprise Research and Development (BERD) 2015, Business Enterprise Research and Development (BERD) 2014, Business Enterprise Research and Development (BERD) 2013, Business Enterprise Research and Development (BERD) 2012, Documents associated with the documentation , Spørgeskema og vejledninger fra alle år (zip) () (in Danish only), The purpose of the R&D statistics of the enterprise sector is to analyse the scope of research and experimental development undertaken within the sector. This is carried out by estimating the resources used in the area, measured in R&D-expenditure and R&D-personnel broken down on industry, size class and the regional level. The survey is conducted in accordance with OECDs guidelines for R&D statistics as described in the Frascati Manual. The Danish data are comparable with the data of other OECD- and EU-countries. , Statistical presentation, The purpose of the R&D statistics is to present the scope of research and experimental development undertaken within the Danish business sector. The aim is to secure detailed statistical information on the R&D activities., Read more about statistical presentation, Statistical processing, The statistics is based on a survey sample of approx. 3,500 units weighted to a frame of approximately 22,000 enterprises. The statistics is compiled in one joint questionnaire which covers both the R&D domain and the innovation statistics. An extensive validation process of the data is carried out. One part of the validations is integrated in the data collection in the dynamic web-questionnaire, another part is carried out after the data collection using micro- and macro validation techniques., Read more about statistical processing, Relevance, Statistics have users in ministry of science, business organizations, researchers, business and students. Statistics are used in publications on research and in international comparisons. R&D statistics is describing the knowledge society. Part of the EU's Innovations Union Scoreboard. Micro-data is available for research through Research Service at Statistics Denmark., Read more about relevance, Accuracy and reliability, To minimize errors the questionnaires are supported with guidelines and instructions. However some data reports are not error-free and may reflect misinterpretations from the respondents which can lead to certain errors., Coefficients of variance (CV) have been compiled for a range of central indicators., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally published no later than 12 months after the end of the reference year. Statistics with reference year 2023 was published 1. April 2025., Read more about timeliness and punctuality, Comparability, The statistics is compiled according to the guidelines of the Frascati Manual and the EU Regulation. There are no other comparable Danish R&D-statistics, but the Danish statistics is comparable to the R&D statistics from other EU-member states and OECD-countries. The statistics is from 2007-2016 comparable. There was a break in time series from 2016 to 2017. From 2017-2024 the statistics is comparable., Read more about comparability, Accessibility and clarity, The statistics are published in Focus On Statistics Denmark (Nyt fra Danmarks Statistik) and are available from Statistics Denmark's website at https://www.dst.dk/fui and from the database StatBank Denmark (https://www.dst.dk/statistikbanken). The statistics can also be found at the Eurostat databases (under the STI-domain). For the years 2012-2020 Statistics Denmark published a more extensive publication concerning R&D and innovation: "Innovation og Forskning 2020" (Innovation and research 2020).The publication is available (Danish only) on https://www.dst.dk, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-enterprise-research-and-development--berd-

Documentation of statistics

Documentation of statistics: Public Funding for Cultural Purposes

Contact info, Science, Technology and Culture, Business Statistics , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Public Funding for Cultural Purposes 2025 , Previous versions , Public Funding for Cultural Purposes 2024, Public Funding for Cultural Purposes 2023, Public Funding for Cultural Purposes 2022, Public Funding for Cultural Purposes 2021, Public Funding for Cultural Purposes 2020, Public Funding for Cultural Purposes 2019, Public Funding for Cultural Purposes 2018, Public Funding for Cultural Purposes 2017, Public Funding for Cultural Purposes 2016, Public Funding for Cultural Purposes 2015, Public Funding for Cultural Purposes 2014, The purpose of the statistics Public Funding for Cultural Purposes is to provide a comprehensive overview of public funding for cultural purposes by collecting all data on public cultural budgets. Previously, the statistics was compiled by the Ministry of Culture and results were disseminated through the publication , Kulturpengene, . The statistics describes the magnitude and categories of the public funds for cultural purposes and has been compiled in this form since 2007., Statistical presentation, These statistics present annual accounts of the public funding for cultural purposes in DKK million by cultural domains, purpose, financing arrangement and financing type. The statistics detail the funds allocated by the central government and local authorities for purposes within the domain of the Ministry of Culture. Funds are allocated to cultural institutions, projects and individuals and are used for operating institutions, subsidies for specific activities and projects, scholarships, etc., Read more about statistical presentation, Statistical processing, Data on State funding is delivered by the Ministry of Culture. Data on municipal funding is drawn from Statistics Denmark's account of budgets of municipalities. Electronic data editing as well as manual checks of the results are performed by Statistics Denmark before publication. Results are compared to last year's results and the occurrence of new purposes are verified by the Ministry of Culture., Read more about statistical processing, Relevance, The statistics are relevant for private individuals, companies and public authorities as the basis for e.g. forecasts, analyzes, contract regulation, public and private planning purposes in the cultural field., Read more about relevance, Accuracy and reliability, Data for these statistics are derived from authorized and central sources such as the National Budget, Supplementary Funds Records and the municipal budgets. No uncertainty calculations are available, but the overall accuracy for state funds is considered to be very high and is reported annually by the Ministry of Culture. The municipal budgets are supplied from the municipalities’ own financial systems and are also considered to have very high reliability. If cultural appropriations in the municipalities fall outside the statistical definition of cultural purposes, they are not included in the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay. Data collection awaits endorsement of the Supplementary Funds Record by the Parliamentary Committee on the National Budget, which usually occurs in May of the fiscal year. Given a processing period of approximately two months, the annual statistics are expected to be available in August., Read more about timeliness and punctuality, Comparability, Statistics on the state funding are comparable to the National Budget publication from the Ministry of Finance. Media License Fees are detailed in the annual budget record on determination of the Media License Fees. Lotto funds for cultural purposes are itemized in the annual Supplementary Funds record on the allocation of Lotto funds for cultural purposes. For municipal funds, statistics are partially comparable with statistics from Statistics Denmark's Budgets of municipalities and regions. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-funding-for-cultural-purposes

Documentation of statistics

Land cover, v3:2018

Name: , BASEMAP_V3_2018 , Description: , Land cover is the observed physical and biological cover of the Earth’s surface which include natural vegetation and abiotic (non-living) surfaces. Land cover is classified based on the UN [System of Environmental Economic Accounting](https://seea.un.org/content/land-accounts) (SEEA), adapted to Danish conditions. This classification has three levels, where [BASEMAP03](http://colectica:25233/File/51ea95a6-293a-4a1f-8d15-5a805f2576cd) constitutes the third level., Valid from: , January 1, 2018 , Valid to: , December 31, 2018 , Office: , Nationalregnskab, Klima og Miljø , Contact: , Ingeborg Vind, , inv@dst.dk, , ph. +45 24 83 51 49 , Codes and categories , Open hierarchy, Download , CSV, DDI, A: Roads, railroads and runways, A1: Road, paved, 141000: Road, paved, A2: Railroads, 150000: Railway, A3: Runways, 126000: Airport/runway, A15: Road, not paved, 142000: Road, not paved, B: Buildings and built-up areas, B1: Buildings, 110000: Building, 121110: Low built up. Building, 122110: High built up. Building, 123110: City centre. Building, 124110: Other built up. Building, 125110: Industry/business. Building, 126110: Airport/runway. Building, 130110: Recreation area/sports ground. Building, 150110: Railway. Building, B2: Built-up areas, 121000: Low built up, 122000: High built up, 123000: City centre, 124000: Other built up, 125000: Industry/business, C: Other artificial surfaces, C1: Pits and quarries, 160000: Resource extraction, C2: Parks, sport facilities and recreational areas, 130000: Recreation area/sports ground, D: Agricultural crops, D1: Herbaceous crops, 211000: Agriculture, intensive, temporary crops, D2: Woody crops, 212000: Agriculture, intensive, permanent crops, D3: Permanent grass and other extensive crops, 220000: Agriculture, extensive, D4: Crops, unspecified, 230000: Agriculture, not classified, E: Forest, E1: Forest, 311000: Forest, 312000: Forest, wet, F: Nature (dry and wet habitat types), F1: Nature, dry (heathers, dunes, etc.), 321000: Nature, dry, 321220: Nature, dry. Agriculture, extensive, F2: Nature, wet (meadows, bogs, etc.), 322000: Nature, wet, 322220: Nature, wet. Agriculture, extensive, G: Lakes and streams, G1: Lakes, 411000: Lake, G2: Streams, 412000: Stream, H: Unmapped, H: Unmapped, 800000: Unmapped, All versions, Name, Valid from, Valid to, Land cover, v3:2018, January 1, 2018, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/basemap

Documentation of statistics: Newspapers and Magazines

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Newspapers and Magazines 2023 , Previous versions , Newspapers and Magazines 2022, Newspapers and Magazines 2021, Newspapers and Magazines 2020, Newspapers and Magazines 2019, Newspapers and Magazines 2018, Newspapers and Magazines 2017, Newspapers and Magazines 2016, Newspapers and Magazines 2014, Newspapers and Magazines 2013, The purpose of the statistics for newspapers and magazines is to shed light on the development of the readership and the number of magazines, trade journals and daily newspapers in Denmark. Previously, the statistics were based on circulation figures from Dansk Oplagskontrol, but from 2017 it is based on readership numbers from Index Denmark / Gallup with time series beginning in 2007., Statistical presentation, Daily newspapers and magazines are annual statements of readership and the number of different categories of newspapers and magazines. Newspapers are divided according to whether their reach is nationwide or local / regional. Magazines are distributed on topics and publication frequencies. Trade journals are divided according to the Danish media industry classification, e.g. agriculture or communication. , Read more about statistical presentation, Statistical processing, The statistics are based on official, industry-recognized readership measurements for the printed media that Index Denmark/Gallup compiles and where quality assurance is performed by the Index Denmark Methodology Committee . Data is collected by a sample survey that annually includes 25,000 representative respondents aged 12 years and over. Statistics Denmark publish the data compiled by Index Denmark/Gallup in interactive tabular format. For newspapers, trade journals and magazines, Statistics Denmark aggregates the readerships to gross coverage., Read more about statistical processing, Relevance, The statistics are expected to meet the needs of several user groups for a comprehensive and easily accessible overview of readership for daily newspapers and the development of the printed media. , Read more about relevance, Accuracy and reliability, The statistics is based on a survey based on a sample of respondents and readership figures are therefore subject to uncertainty. Readership figures say nothing about the thoroughness of reading, and reflects the respondents' own perception of their media usage. The statistics are based on official, industry-recognized readership measurements from Index Denmark/Gallup. In addition to the statistical uncertainty in the measurement of readership figures in the original sources, typing, coding and calculation errors in the data processing can be sources of uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately four months after the end of the reference year. The statistics are published at the announced time., Read more about timeliness and punctuality, Comparability, The statistics are comparable in their current form since 2018. Furthermore, deactivated tables present comparable data of 6-months intervals in a time series from 2007-2018. Comparable statistics are available for Nordic daily newspapers based on statistics in the Nordic StatBank. At European level, there is a comparative study of the number of readers reading newspapers published by Eurostat., Read more about comparability, Accessibility and clarity, The figures are published in the StatBank under the subject , News media and magazines, . In addition, selected results are included in the publication , Culture, . See more on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/newspapers-and-magazines

Documentation of statistics

Documentation of statistics: Market Value for Households Real Estate

Contact info, Government Finances, Economic Statistics , Mathias Spindler Juhl Bundgaard , +45 29 36 68 25 , BUN@dst.dk , Get documentation of statistics as pdf, Market Value for Households Real Estate 2025 , Previous versions , Market Value for Households Real Estate 2024, Market Value for Households Real Estate 2023, Market Value for Households Real Estate 2022, Market Value for Households Real Estate 2021, Market Value for Households Real Estate 2020, Market Value for Households Real Estate 2019, Market Value for Households Real Estate 2018, Market Value for Households Real Estate 2017, Market Value for Households Real Estate 2016, Market Value for Households Real Estate 2015, This is the first publication of the households’ assets in real estate on individual level. The purpose is to follow the development of the households’ real estate. Sector delimitation of units in the sector of households is defined in European system of national accounts (ESA2010). From this it appears that sole proprietorships are a part of the households’ sector. Registers on individual level can be used for distribution analyses, e.g. in relation to income, financial liabilities or socioeconomic status., Statistical presentation, The statistics provides closing values for each year. The household’s real estate consisting of owner occupied dwellings and co-operative dwellings. All figures are reported in current prices. , Read more about statistical presentation, Statistical processing, Data from the various registers are merged through property identification and personal identification. There are made classifications, aggregations and calculation of the market value. For publication there is added relevant background information about the families., Read more about statistical processing, Relevance, The statistic has a lot of interested parties including ministries, politicians, organizations and the press.., Read more about relevance, Accuracy and reliability, The adjustment factor is the same within a geographic area, even though the actual sales value can vary a lot due to e.g. differences in the location of the owner-occupied dwellings (amenity), which are not reflected completely in the official real estate valuations. The preliminary year are dependent primarily on sales data for real estate. When the final year are calculated all of the sources are available. Experience from 2019 and 2020 shows that the preliminary year tends to underestimate the total market value of the final year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics i published with preliminary figures in march, 3 months after the reference date. Final figures is published a year later. One year and 3 months after the reference date., Read more about timeliness and punctuality, Comparability, The statistic is consistent over time. However, one must be aware that the figures are calculated at current prices. There is no knowledge of any individual based register of household wealth in real estate, which is comparable to the Danish. Figures for total household wealth in real estate are also published in the statistics concerning financial national accounts which is published in June and November., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home equity, , and the , subject page, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/market-value-for-households-real-estate

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions , Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions , The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2025 , Previous versions , Accounts Statistics for Agriculture 2024, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the Farm Account Statistics for Agriculture is to provide information on the accounting results of agricultural holdings and horticultural holdings in Denmark. The statistics are considered an important input for the calculation of the agricultural sector accounts, the national accounts, and the EU Farm Sustainability Data Network (FSDN). The statistics have been compiled since 1916, but in their current form they are comparable from 2008 onwards., Statistical presentation, The Farm Account Statistics for Agriculture is an annual statistic describing the economy of Danish agricultural and horticultural holdings through detailed accounting items such as turnover, purchases, costs, operating result of the year, assets, liabilities and investments,, as well as key financial indicators. In addition, the statistics include information on household finances, including income outside agriculture, taxes paid and private consumption. The statistics cover holdings with a standard output of at least EUR 25,000 and are broken down by full-time and part-time holdings, farm types, conventional and organic production, and geographical areas such as regions and parts of the country., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually from farm accounts submitted by accounting offices and private accountants and are supplemented with data from various administrative registers. The data are collected electronically and undergo extensive validation procedures. Holdings are classified according to economic size and type of farming based on their Standard Output (SO), which is calculated for all crop and livestock types as the average actual output per unit (hectare or animal) over a five-year reference period. After validation, the sample is weighted to represent the target population and the final statistics are compiled., Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The data collection fulfils Denmark's obligations under the EU Farm Sustainability Data Network (FSDN)., Read more about relevance, Accuracy and reliability, The sample covers all holdings in the target population with a Standard Output (SO) of at least EUR 25,000. Sampling uncertainty is reduced by selecting relatively more large holdings, where variability is greater, and relatively fewer small holdings. Potential sources of uncertainty include voluntary participation and differences in accounting periods, although both are considered to have only a limited impact on overall accuracy. Standard errors and coefficients of variation are calculated for four key variables across 22 groups of holdings. Expected non-response is taken into account by increasing the sampling rate in strata where higher non-response has been observed, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 7–10 months after the end of the reference year. Since the 2015 reference year, preliminary results for agriculture have been published in early July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural and horticultural economy, . More information is available on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-agriculture

Documentation of statistics