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Documentation of statistics: Sales of Alcohol and Tobacco

Contact info, Prices and Consumption , Christian Lindeskov , +45 21 22 28 57 , CHL@dst.dk , Get documentation of statistics as pdf, Sales of Alcohol and Tobacco 2022 , Previous versions, Sales of Alcohol and Tobacco 2021, Consumption and sales of Alcohol and Tobacco 2020, Consumption and sales of Alcohol and Tobacco 2019, Consumption and sales of Alcohol and Tobacco 2015, Consumption of Alcohol and Tobacco 2012, The purpose of the statistics is to describe the sale of tobacco and alcohol in Denmark. The sale statistics has been produced since 1939 and goes back to 1921., Statistical presentation, The , sale of alcohol and tobacco, is a yearly statistic based on the duty paid to SKAT. The statistics is split by type of goods in the first transaction stage, i.e. typically sale from producer or wholesale to retail., Read more about statistical presentation, Statistical processing, Data is retrieved from the Danish tax authorities, whom also conduct basic data validation. The data is corrected for the breweries moderation scheme prior to publication. The taxable sale is, therefore, the sale of alcohol and tobacco to the retail trade. The revenue from the taxes are recalculated to volumes on the basis of the Danish Ministry of Taxation's tax classes., Read more about statistical processing, Relevance, The statistic provides an overview for institutions, e.g. industry organisations and producers of the sector for production of alcohol and tobacco, and others with an interest for the subject., Read more about relevance, Accuracy and reliability, The data covers the taxable sale of alcohol and tobacco. Only the final numbers are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published yearly and usually published according to the announced time without delay., Read more about timeliness and punctuality, Comparability, Statistics Denmark have calculated different versions of this statistics since 1921. Data breaks occur whenever there are changes to the rules and taxes on alcohol and tobacco. No directly comparable statistics internationally are known., Read more about comparability, Accessibility and clarity, The statistic is published in ", Nyt fra Danmarks Statistik", . In the Statbank the numbers are published in the tables , ALKO2, , , ALKO3, and , ALKO4, . Furthermore, the numbers are included in yearly publications of Statistical Yearbook and Statistical Ten-Year Review. Se more on the statistics' website , Consumption of alcohol and tobacco, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-alcohol-and-tobacco

Documentation of statistics

Documentation of statistics: Census of Buildings

Contact info, Short Term Statistics , Paul Lubson , +45 23 45 47 32 , PAL@dst.dk , Get documentation of statistics as pdf, Census of Buildings 2022 , Previous versions, Census of Buildings 2019, Census of Buildings, 1 January 2018, Census of Buildings, 1 January 2017, Census of Buildings, 1 January 2016, Census of Buildings, 1 January 2015, Census of Buildings, 1 January 2014, The statistics yearly describe the stock of buildings in Denmark. The Census of buildings - together with the Census of Housing - is since 1981 and based on administrative registers a continuing of the questionnaire based Census on Population and Housing., Statistical presentation, The statistics are compiled from a full-scale census, 1st January. Before 2011 are small buildings (e.g. garages, carports, outhouses) excluded from the stock. The statistics describe the stock of buildings analyzed by type of use, size, ownership, heating installation, roof covering and external cladding materials, water and effluent installations, and year of construction. The statistic is used by municipals, ministries, the press, companies and private people., Read more about statistical presentation, Statistical processing, The statistic covers all buildings in the Registry of buildings and Dwellings. Data is validated at the building level. The aggregated numbers are checked against earlier years., Read more about statistical processing, Relevance, The statistic is used by municipalities, counties, government departments, private and semi- private organizations and firms, the news media and private persons. It is used for public and private planning, education and public debate., Read more about relevance, Accuracy and reliability, The quality of the statistic is believed to be high. A survey of the overall accuracy of the Central Register of Buildings and Dwellings has never been conducted. But the degree of unknown variables is small., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published medio July, normally on time., Read more about timeliness and punctuality, Comparability, With some exceptions the data are consistent back to January 1, 1986(see comparability over time). A complete comparability with the statistic of constructions is, for several reasons, not possible., Read more about comparability, Accessibility and clarity, The newest numbers are published at [STATBANK] https://www.dst.dk/en/Statistik/emner/byggeri-og-anlaeg/bygninger.aspx). The numbers are also used in The Statistical Yearbook and in the Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-buildings

Documentation of statistics

Ghana and Morocco advance in Open Data

Both countries have made significant strides in enhancing their ODIN scores., 27 May 2025 12:00 , By , Klaus Munch Haagensen, Between 2020 and 2024, both Ghana and Morocco have made significant strides in enhancing their Open Data Inventory (ODIN) scores, reflecting their commitment to data transparency and accessibility. We use ODIN as a supplementary measure to track progress in our Strategic Sector Cooperation projects and to identify new areas to work on. You can read more about our Strategic Sector Cooperation (SSC) projects in Ghana and Morocco here:, Ghana, Morocco, The SSCs are financed by the Danish Ministyry of Foreign Affairs.,  , Facts about ODIN, The Open Data Inventory (ODIN) is developed by Open Data Watch, an international non-profit organization dedicated to improving the availability and openness of official statistics worldwide. ODIN assesses the coverage and openness of official statistics to identify gaps, promote open data policies, and improve access to data. You can read more about ODIN here: , https://odin.opendatawatch.com/,  , Ghana, : ODIN score increased from 39 to 54, elevating its overall global rank from 143, rd, to 107, th, . Significant advancements were observed in data coverage, particularly in economic and environmental statistics. In Ghana the progress is very much related to the launch of the StatsBank -https://statsbank.statsghana.gov.gh/ which has greatly improved access to data from 2023 and onwards. Despite improvements, challenges persist in data coverage, particularly in environmental and health statistics., Morocco, : ODIN score rose from 65 to 77, moving up to the overall rank as 25, th, globally from numer 41, st, . Improvements were most profound in data openness, supported by digital transformation initiatives and enhanced dissemination platforms. While Morocco has advanced in data openness, there is a need to improve the availability of disaggregated data, especially in health, gender and food security and nutrition statistics. Although there has been efforts to improve documentation and metadata, strengthening metadata documentation even more would definitely also enhance data usability., These improvements highlight focused efforts in enhancing data coverage and openness, contributing to better-informed decision-making and governance.

https://www.dst.dk/en/consulting/news-from-international-consulting/2025/27-05-2025-Ghana-and-Morocco-Advance-In-Open-Data

Ghana 2019-2023

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana. Our partner is the Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana is to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supports Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process, , improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., The project is structured around seven outcomes and associated outputs:, A. Use of Administrative Data Sources for Statistical Production Increased, Output A1: Analysis of demographic data available in GSS, BDR and NIA, Output A2: Ghana Immigration Service data transferred in second pilot, Value and use of administrative data demonstrated to decision-makers and media, B. Improved IT with focus on data storage and dissemination (databases and databank)., Output B1: IT system setup for pilot data transfer and storage defined, Output B2: Statistical Databank developed and launched, C. Quality and methodology in statistical production are imptoved and harmonised throughout institution., Output C1: Structure and processes for quality principles are formalised and standardized, Output C2: Change towards increased unified methodology mapped and roadmap finalised, D. Accuracy and Coverage of Economic Statistics improved., Output D1: , Consumer Price Index transformed from 10 to 16 r, egions and updated, Output D2: Unit Value Index updated and improved , Output D3: National Accounts Database System introduced, Output D4: Input/Output tables methodology introduced, Output D5: Environmental Accounts/Green GDP methodology introduced, E. Staff trained in general statistical competences, Output E1: , Staff trained in R or Python software, Output E2: Staff trained in Generic Statistical Business Process Model (GSBPM), Output E3: Staff trained in Sampling Technique,  , Watch the video about the Strategic Sector Cooperation in Ghana between Statistics Denmark and Ghana Statistical Service

https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/ghana-2019-2023

Documentation of statistics: Protected buildings and ancient monuments

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, Protected buildings and ancient monuments 2024 , Previous versions, Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

Documentation of statistics

Statistics based on distances or neighbourhoods

Define your own statistical areas, In addition to statistics on administrative units such as regions and municipalities, smaller units such as postcode districts, parishes or school districts, you can also get data for analyses of geographical areas that you define yourself., Statistics on an area within a certain range from a point, A typical example of such an area is an area whithiin a certain range from a point on the map. The "point" can be a shop, a hotel, a railway station or a public institution and the periphery you define as a distance, for example, in kilometres from this point., You can define the distance in three ways: , as the crow flies, along established roads, as driving time by car along established roads., Specify the statistical data you want, Once you have defined the geographical area, you can add the statistical data you want. For example, it can be as simple as the number of people in the area in a certain age group, or the number of households with children under the age of six., Find inspiration to define your geographical area, You can also define a geographical area based on other criteria, such as areas bounded by physical barriers and lines. These can be areas of the cities or the open land you demarcate by using city limits, field boundaries, edges of forests, bridges, railroads, dams, highways, roads, streets, streams, lakes and coastlines - in short, everything you perceive as a transition from one area to another., You can also deifne an area on geometric shapes, such as circles, triangles, squares, and many-sided polygons where you define the centre or the corners by geographical coordinates, buildings, addresses or the like., There are many ways to delimit an area – the only limit is your imagination! The only requirement is that the size of an area must comply with the rules of discretion, ie. we cannot disclose statistics that make it possible to identify any individual or any individual company., Prices, The price depends on both the number of areas and the variables for which you want statistical data. Please contact DST Consulting for a specific quotation., Contact information, DST Consulting, tel. +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics for the Danish national grid, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/oplands-ogafstandsanalyser

Prices and products

Subscription, ADAM is offered on a yearly subscription basis in two types of agreements. , "Subscription for structural analysis" is yearly subscription including a smooth outline scenario of the danish economy covering a long range of years (at least 20 years). The subscriber receives the scenario and the data bank once a year. , "Subscription for business surveillance" is similar, but in addition the subscribtion includes reference scenarios covering 7-8 years ahead, by and large equivalent to the most recent forecast from the ministries of economic affairs and finance. The subscriber receives such scenarios twice a year, and updated versions of the data bank three times a year. For an additional fee, the subscriber can require the detailed scenario from the publication Finansredegorelsen from the ministry of finance. , In addition, the subscriptions include documentation, pre- and postmodels for more detailed purposes, working papers and to a certain extend help getting started with ADAM. In addition, new subscriptions include a free introductory course., It is also possible to subscribe only to the ADAM databank. This comes in a subscription with 3 data banks yearly. The banks can also be bought separately., Introductory course, ADAM is a large model, and optimal use of ADAM requires that the user has an economic background and is willing to set aside sufficient amount of time to get aquainted with the structure and function of the model. , The modelling unit offers introductory courses in the use of ADAM and, in general, support for the use of ADAM. Courses are offered 1-3 times per year. , Services , The modelling unit offers to carry out computations on the basis of any customers specifications, provided that the computations can be carried out on proper professional grounds., Price list (Danish only), In addition a fee covering time spent, copying, fax, disk etc. according to the general prices of Statistics Denmark. , Services: , According to , general prices per man-hour of Statistics Denmark (Danish only), . , If ADAM is used to carry out the services in question an extra fee can be added. , For more information contact, Economic models,  

https://www.dst.dk/en/TilSalg/ADAM/Priser

Contact: Food Industries

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Troels Pade , +45 29 12 04 77, tpd@dst.dk, Accounts Statistics, Agriculture, Chief Adviser, Chief Adviser, Henrik Bolding Pedersen , +45 20 57 88 87, hpe@dst.dk, Senior Adviser, Senior Adviser, Charlotte Filt Slothuus , +45 24 26 05 58, cfs@dst.dk, Senior Adviser, Senior Adviser, Martin Brandt Jepsen , +45 24 99 89 11, mjs@dst.dk, Head of Section, Head of Section, Dorte Hækkerup , +45 40 35 67 73, dmh@dst.dk, Head of Section, Head of Section, Charlotte Wind von Bennigsen , +45 24 21 42 30, cwb@dst.dk, Accounts Statistics, Fisheries and Aquaculture, Chief Adviser, Chief Adviser, Charlotte Spliid Hansen , +45 29 41 97 76, chh@dst.dk, Head of Section, Head of Section, Michael Brogaard , +45 51 62 70 89, mib@dst.dk, Head of Section, Head of Section, Lisbeth Elin Lakjer Christensen , +45 21 77 74 20, lcr@dst.dk, Structure, Production and Organic production and trade, Chief Adviser, Chief Adviser, Martin Lundø , +45 51 46 15 12, mlu@dst.dk, Senior Adviser, Senior Adviser, Mona Larsen , +45 24 81 68 47, mla@dst.dk, Head of Section, Head of Section, Mads Haaning Andersen , +45 51 85 76 27, mhg@dst.dk, Head of Section, Head of Section, Karsten Kjeld Larsen , +45 21 29 55 76, kkl@dst.dk, Head of Section, Head of Section, Simone Thun , +45 51 36 92 51, sit@dst.dk, Office Clerk, Office Clerk, Mikkel Ole Carstad , +45 23 82 03 56, mca@dst.dk, Senior Head Clerk, Senior Head Clerk, Ditte Puk Andersen , +45 40 43 41 97, dpa@dst.dk, Senior Head Clerk, Senior Head Clerk, Kurt-Kristian Bech , +45 51 16 91 99, kkb@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=03&tlfbogsort=sektion

Documentation of statistics: Public libraries (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Public Libraries 2018 , Previous versions, Public Libraries 2016, Public Libraries 2015, Public Libraries 2014, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. . The main information is stock, growth, lending, renewal of loans and interlibrary loans., Statistical presentation, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. Up to and including 2009 the statistics was produced by the Ministry of Culture., Read more about statistical presentation, Statistical processing, Statistics Denmark process the collected data, them validate and publish them in Statbank a half years after the reference year., Read more about statistical processing, Relevance, The statistics are available for all who are interested in the library business such as politicians, media, students and NGOs. There has been no study of user satisfaction in this statistic. There is regular contact with the Danish Culture authority on the quality and relevance of the statistics. , Read more about relevance, Accuracy and reliability, The statistic includes all public libraries in Denmark. Uncertainty caused by incorrectly reported figures are sought minimized thorough massive inspection of the reported figures., For the reference years 2016 and 2017 will numbers of loans, stock, growth, interlibrary loans and active loaners not be published. This is due to problems caused by the change in administrative IT-systems for the libraries in these years. , Read more about accuracy and reliability, Timeliness and punctuality, Data is collected by Statistics Denmark in the first half of the year immediately following the survey year. Publishing occurs in early July. The total production time is six months. The statistics are published according to the schedule without delay. Due to problems with datacollection is the statistic for reference years 2016 and 2017 delayed. , Read more about timeliness and punctuality, Comparability, Use of standards within the library in Denmark reflects both concrete Danish needs but also the organization of the international standard work. Statistics on public libraries are thus comparable with international statistics to the extent they are based on the same international standards., Read more about comparability, Accessibility and clarity, Publishing is in the following channels:, News from Statistics Denmark http://www.Statbank.dk, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-libraries--discontinued-

Documentation of statistics

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer