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Documentation of statistics: Teacher-student register for primary school

Contact info, Population and Education , Eva Lotti Hansen , +45 21 59 99 06 , EBR@dst.dk , Get documentation of statistics as pdf, Teacher-student register for primary school 2023 , Previous versions, Teacher-student register for primary school 2022, Teacher-student register for primary school 2021, The Matched Educational Data for primary and lower secondary education level (MED-Elementary) serves the purpose of enriching the elementary school statistics with information about the individual lessons. The data registry has been developed for research purposes and provides the possibility to study who receives teaching together and who executes the teaching. So far, the register covers the school year of 2020/2021, 2021/2022, and 2022/2023. , Statistical presentation, The database, MED-Elementary, contains information about students, groups, teachers and their activities in public elementary schools and other schools at the level of primary to lower secondary education in Denmark. The register covers 0th to 10th grade in the Danish school system. , In its current form, the registry covers from the school year of 2020/21 and are updated yearly with the addition of another year. , Read more about statistical presentation, Statistical processing, The data for this registry is collected weekly from the schools' digital login system, Unilogin, and the communication platform, AULA, as automatic system-to-system reporting. The weekly updates are compiled into chronological tracks, which undergo a broad validation process followed by and enrichment of the data, also on a weekly basis. Once a year data from the two sources are integrated and combined with data from the Student Registry. , Read more about statistical processing, Relevance, MED-Elementary has been developed for research purposes and creates opportunities for research in teaching at the level of the individual lessons in primary and lower secondary schools. This applies, for example, to the importance of the composition and length of the school day. In the development of MED-Elementary, external stakeholders and future users have been continuously involved., Read more about relevance, Accuracy and reliability, The information in the database comes from the institutions' administrative systems and good agreement has been found with existing registers based on other data sources., By translating the activity designations into a mandatory subject, the number of hours at each individual school is compared to the minimum requirement or the indicative number of hours according to the executive order on elementary schools. It is estimated that in 84 pct. of primary schools, students have on average between 85 pct. and 115 pct. of the recommended number of hours/minimum hours in the executive order in the school year 2021-2022., Read more about accuracy and reliability, Timeliness and punctuality, It is expected that the register will be published in April for the previous school year without significant delays., Read more about timeliness and punctuality, Comparability, The MED-Elementary is currently available for the school year 20/21, 21/22 and 22/23 ., Read more about comparability, Accessibility and clarity, Researchers and other analysts from authorized research institutions can gain access to the Micro-data through Statistics Denmark's Research Scheme, and the ministries will be able to gain access through the ministerial scheme., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/teacher-student-register-for-primary-school

Documentation of statistics

Documentation of statistics: Housing Benefits (monthly

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing Benefits (monthly 2024 Month 01 , Previous versions, Housing Benefits (monthly 2023 Month 03, Housing Benefits 2022 Month 02, Housing Benefits 2022 Month 01, Housing Benefits 2021 Month 12, Housing Benefits 2020 Month 12, Housing Benefits 2019 Month 12, Housing Benefits 2018, Housing Benefits 2017 Month 12, Housing Benefits 2016 Month 12, Housing Benefits 2015 Month 12, Housing Benefits 2014 Month 12, Housing Benefits 2013 Month 12, Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on housing benefits 2025 is published in March 2026., Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in , Nyt fra Danmarks Statistik, . Simultaneously, the statistics are published online at http://www.Statbank.dk under the subject , Adults receiving social benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits--monthly

Documentation of statistics

Documentation of statistics: Home to work commuting

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Commuting 2016 , Previous versions, The purpose of the RAS statistic is to provide a description of the Danish population's commuting and distance between place of residence and work place. The commuting statistic has been published since 1984. The distance between residence and work place was first published in 2006. The statistic is in the current form comparable from 2008 and forward. , Statistical presentation, The statistic is an annually and individual based count of the employed persons commuting between residence and work place in the last working day in November. Including a calculation of the distance between the commuters residence and work place i kilometers (km). The commuting statistic is published in the Statbank where the statistic besides from residence, work place and commuting distance also is divided on sex, industry (DB07) and socioeconomic status. Data is also available trough the Division of Research Services and DST Consulting., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is done by taking a status (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistic is compiled from RAS which is used to present the primary connection to the labour market for people resident in Denmark. RAS contains a series of data sources that are integrated, debugged and harmonized. RAS does therefore not contain the same uncertainties as statistics based on samplings. , The definition of the primary job for employed persons is source to uncertainty in the commuting statistic, since the workplace address for the primary job and the address of residence is the foundation for the calculation of the commuting distance. It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, The commuting statistic is published approximately 17 months after the reference point in time. The date of publication, which is normally complied without delay, is defined more than a year ahead. , Read more about timeliness and punctuality, Comparability, The statistic is published since 1984, and is in the current shape comparable from 2008 and forward. The statistic shows commuting within and across municipalities in Denmark, and the data foundation is based on administrative registers with national features. It is therefore difficult to compare the statistic internationally. , New and better data foundations and changes in the labour market have caused a number of data breaks over time, which have influence on the possibility of comparing data over time. , Read more about comparability, Accessibility and clarity, The statistic is published annually 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 , Commuting from home, and , Commuting to workplace, . For further information, go to the subject page for , Commuting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

Documentation of statistics

R-training in Georgia

In Georgia there is definitely something to celebrate! Despite difficulties coming from the new COVID19-normal, 22 participants have just completed their first training in the IT software ‘R’ at the Georgian National Statistical Office (GeoStat) as part of the EU Twinning project. A success assigned to coordination and cooperation across different sectors and domains with multiple partners and interest groups., 18 May 2021 8:00 ,  , An IT review and a discussion with Expertise France... , EU Twinning projects run with a specific set of objectives and clearly defined activities. But in GeoStat something more is bustling as an IT review combined with an ongoing coordination across projects has led to supplementary and essential goals to be pursued., Georgia - table with gear ready for Covid19 and online meeting. , Photo: Steen B. Pedersen,  , IT-resources are scarce in GeoStat why an IT-sector review led by the , UN Economic Commission on Europe (, UNECE), which the Twinning project was invited to take part in, encouraged them to develop an IT-training strategy for both IT and statistical staff. Training of IT staff will raise the skills and competence level of staff and in the long run hopefully attract new IT staff to GeoStat. Training of statistical staff will on the other hand, loosen the pressure on IT-resources. , The IT-sector review also suggested that GeoStat considers alternatives to Excel and MS-Access for statistical production processes. And meanwhile, Twinning experts on different subject areas were working with colleagues from GeoStat on implementing new statistical products and procedures – and choosing IT software was an essential part of that work. Selecting a well-known solution would of course be the easiest on the short run, but this did not happen!  , The Resident Twinning Advisor and the Project leader from Expertise France implementing the EU funded project “Statistics for the Eastern Partnership” (STEP) had long been discussing opportunities for possible areas of cooperation and synergies between the two projects with ‘R’ being a top priority for cooperation. Now to build from the bricks of the IT-sector review and the parallel discussions around cooperation efforts, ‘R’ was instead added to both work plans and course materials with efforts to take the first steps towards implementing an open source software more systematically as an integrated part of the statistical production process.  , Conducting training in times of COVID19, Like so much else, COVID19 also challenges statistical capacity building across borders why the first R-mission in the frame of the Twinning project was conducted online. On a positive note, this allowed for more employees to participate compared to the original plan. 6 sessions, of three hours each, in a combination of plenary introductions and practical training in “breakout rooms” - covered subjects such as data manipulation, data visualisation and more advanced loops and function procedures. , The next training mission will be conducted during the summer 2021. Meanwhile GeoStat employees have the opportunity to test/put their newly adapted skills into practice.,  , # Facts , about the EU Twinning project:, Name: , Strengthening the capacity of the Georgian Statistical system, Partner: ,  , National Statistics Office of Georgia  & Statistics Denmark, Duration: , April 2019 – July 2021,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/18-05-2021-R-training-in-Georgia

Documentation of statistics: Transport of goods by road

Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Transport of goods by road 2023 Quarter 4 , Previous versions, Transport of goods by road 2022 Quarter 3, Transport of goods by road 2019 Quarter 4, Transport by Road by Danish Vehicles 2018 Quarter 4, Transport by Road by Danish Vehicles 2017 Quarter 4, Transport by Road by Danish Vehicles 2017 Quarter 3, Transport by Road by Danish Vehicles 2017 Quarter 2, Transport by Road by Danish Vehicles 2016 Quarter 2, Transport by Road by Danish Vehicles 2015 Quarter 4, Transport by Road by Danish Vehicles 2015 Quarter 3, Transport by Road by Danish Vehicles 2014 Quarter 3, The purpose of the statistics on goods transport by road by Danish vehicles is to monitor the vehicle-kilometer, tones-kilometer and transported goods by national and international freight., Before 4th quarter of 2009 the statistics were compiled separately in national transport (within Denmark) and international transport (part or all of the journeys done outside Denmark). Since 4th quarter 2009 national and international transport has been joined in one common statistics with one data collecting., Statistical presentation, The statistics cover transport with goods by Danish registered goods road vehicles on a quarterly basis., The main variables are data on the vehicle, vehicle-kilometers, place of loading and unloading (by provinces), weight of goods, type of goods, kilometers driven, tonnes-kilometer and empty journeys., Read more about statistical presentation, Statistical processing, Data are collected from a sample of road goods vehicles using the Danish register of motor vehicles as sample frame. Annually, approximately 8,000 vehicles are sampled., The collected data are validated with respect to the correctness of reported data and data consistency., Read more about statistical processing, Relevance, The statistics are used widely by business associations, news media, consultancies and ministries., Read more about relevance, Accuracy and reliability, The uncertainty in the statistics are considerable, especially in subdivisions and international journeys. The results may be biased due to false reports of stand stills, i.e. the vehicle is falsely reported not to perform transport in the surveyed week., Statistics are not revised significantly after the first, preliminary figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 78 days after the reference quarter without delays compared to the announced time., Read more about timeliness and punctuality, Comparability, Eurostat publishes EU and EFTA member states compilation of road freight statistics. These statistics are compiled base don common EU-legislation and guidelines., The present time series has been compiled in its present form since 4th quarter 2009. Before this time national and international transport were compiled in separate statistics., Read more about comparability, Accessibility and clarity, The statistics are published quarterly in Nyt fra Danmarks Statistik and all data are available online in http://www.Statbank.dk., Selected tables are published in Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-of-goods-by-road

Documentation of statistics

Documentation of statistics: Child Subsidy and Family Allowance (Discontinued)

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Child Subsidy and Family Allowance 2023 Quarter 1 , Previous versions, Child Subsidy and Family Allowance 2022 Quarter 4, Child Subsidy and Family Allowance 2021 Quarter 4, Child Subsidy and Family Allowance 2020 Quarter 4, Child Subsidy and Family Allowance 2019 Quarter 4, Child Subsidy and Family Allowance 2018 Quarter 4, Child Subsidy and Family Allowance 2017 Quarter 4, Child Subsidy and Family Allowance 2016 Quarter 4, Child Subsidy and Family Allowance 2015 Quarter 4, Child Subsidy and Family Allowance 2014 Quarter 4, Child Subsidy and Family Allowance 2013 Quarter 4, The purpose of the statistics about child benefit and family allowance is to illustrate the number of recipients of child benefit and family allowance plus the payments and the number of children they receive payments for. The statistics of child benefit has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and family allowance and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family allowances at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of child benefits and grants, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank , Børnetilskud og børnefamilieydelse, . See more , here, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-subsidy-and-family-allowance--discontinued-

Documentation of statistics

Documentation of statistics: Book sales

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Book sales 2023 , Previous versions, Documents associated with the documentation, Genreopdeling ved hjælp af Themakoder (pdf) (in Danish only), The purpose of the statistics Book sales is to shed light on the development of book sales in Denmark. The statistics illustrate the trends in the number of copies sold through physical bookstores and online sales channels. The statistics are new as of 2024 and include data from the third quarter of 2022 onwards., Statistical presentation, Book sales is a quarterly compilation of the number of physical books, e-books and audiobooks sold through physical bookstores (including the largest supermarket chains) and online sales channels. Sales of used books (e.g. from second-hand bookstores, thrift stores, and flea markets) are not included. The statistics are categorized by genre, format/media, publication language, original language and binding type. The data is published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in Statbank Denmark. Data sources and coverage are still under development, and the figures are therefore preliminary. Future revisions may occur., Read more about statistical presentation, Statistical processing, Data for this statistics is collected through monthly transfers of transaction data on book sales units from SAXO.com A/S, Indeks Retail (Bog & Idé), Gucca and the major supermarket chains (COOP, Salling and Dagrofa)., The transaction data is enriched with information from DBK, which manages the Bogportalen and Publizon, allowing the books to be classified by genre, format/media, publication language, original language and binding type. If this information is missing for certain editions, efforts are made to manually complete it using various assumptions., Read more about statistical processing, Relevance, The key users are stakeholders in the book industry, the Ministry of Culture and other interested parties. The statistics are used for analyses in the literature sector., Read more about relevance, Accuracy and reliability, The statistics cover the majority of book sales in Denmark, purchased new. The metadata coverage is considered satisfactory for Danish publications, although coverage is lower for foreign publications. Coverage is also lower for books/book products where the primary purpose is not reading, such as coloring books, board books, activity books, calligraphy books, books with music notation, songbooks, and puzzle books like Sudoku. ISBN errors may occur, but they are not deemed to be a widespread issue., The figures are preliminary, and future revisions may occur as book sales data expands and metadata quality improves., Read more about accuracy and reliability, Timeliness and punctuality, The figures are provisional, and future revisions may occur. The publication of the statistics takes place at the end of November. Since the statistics are new, the punctuality of the statistics cannot yet be described., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable to other published book sales statistics. There are no international guidelines for the production of book sales statistics., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the newsletter Nyt fra Danmarks Statistik (in Danish only) at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Literature, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/book-sales

Documentation of statistics

Documentation of statistics: Libraries

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Libraries 2024 , Previous versions, Libraries 2023, Libraries 2022, Libraries 2021, Libraries 2020, Libraries 2019, Libraries 2018, 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. , Statistical presentation, The statistics are an annual statement of the public and research libraries' activities, including lending, holdings, departures and increases in materials, as well as individual key financial figures. The statistics are compiled for all public and research libraries in Denmark and are divided according to activity and physical and electronic material type, etc. In the statistics, research libraries are divided into research libraries with special obligations and other research libraries., Read more about statistical presentation, Statistical processing, Data for these statistics is collected annually from the public and research libraries via an electronic questionnaire. Data from the individual public and research libraries is checked in relation to their reporting for previous years. Collection of data takes place at the same level of detail as that at which the finished statistics are published., 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., Quarterly data for the individual-based library statistics, which includes public libraries, eReolen and Filmstriben, is provisional until the fourth quarter and annual data for the given reference year are published. Therefore and in connection with the publication of the fourth quarter and annual data for a given reference year, minor adjustments are made to the first, second and third quarters data. Delays in data delivery to Statistics Denmark are in the origin of such adjustments. In addition, these minor adjustments are considered marginal and will not have an impact on the aggregate levels of the quarterly data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published 6 months after the end of the reference year, without delay. The individual-based library statistics are published quarterly, three months after the reference period., 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. , For the research library statistics, data is comparable from 2009 onwards. For 2016, the questionnaire has been reduced. No comparison of these statistics has been made with corresponding international or foreign statistics., The public school library statistics were published for the first time in 2022., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Public libraries, and , Research libraries, . For more information go to the subject page for , Libraries, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Live music

Contact info, Science, Technology and Culture , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Live music 2023 , Previous versions, Live music 2022, Live music 2021, Live music 2020, Live music 2019, Live music 2018, The purpose of the statistics Live music is to shed light on the activity around live music. The statistics show statements of concert organizers, concerts and the audience and include concerts with public access, where the musicians are remunerated for the performance of the musical works, and where the concerts are the main purpose of the audience's presence. The statistics have been compiled since 2020 and describe the activity around live music from 2018 to 2021., Statistical presentation, The statistics on live music are an annual statement of the number of concert organizers, concerts and audiences divided by organizer type, sector, industry and region., Read more about statistical presentation, Statistical processing, Data for the statistic of live music are collected annually from KODA,The Agency for Culture and Palaces, the music festivals' websites and Statistics Denmark's own registers. The collected data is examined and cleaned for error observations. Data about the audience appears directly from data for some of the concerts, while it is estimated for the others. The total data about concerts is used to identify the concert organizers., Read more about statistical processing, Relevance, The statistics are expected to be used by professionals, researchers, authorities and other users such as journalists who are interested in live music. The statistics can create a basis for forecasts and analyzes as well as a better understanding of the industry and the actors involved. The statistics are continuously developed in collaboration with a follow-up group consisting of significant users., Read more about relevance, Accuracy and reliability, The number of audiences, concerts and concert organizers is estimated on the basis of several data sources, including billing data for holding live concerts. This does not give the exact number of audiences and concerts, but is considered to give a true picture of the actual scope. The statistics are still under development, which is why there will be minor revisions of the published information in the first years of publication. We work continuously to ensure a high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 1 years after the end of the reference year. These statistics are published without delay, with reference to the announced time of publication in the release calendar. The statistics have been updated in November 2020 for reference year 2019. The publication of reference year 2020 is published in December 2021. The publication of reference year 2021 is published in August 2022., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2020 and describe the activity around live music from 2018 to 2023. The time series is fully comparable in the period. The statistics are not compiled according to pan-European guidelines and are therefore to a lesser extent comparable with official statistics from other countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a statistical article release and in the StatBank under , Music, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/live-music

Documentation of statistics

Documentation of statistics: Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , hhu@dst.dk , Get documentation of statistics as pdf, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages 2023 , Previous versions, The purpose of the study is to assess the number of wood stoves, etc., and to calculate the consumption of firewood and other biomass for heating in Danish households' homes and holiday homes. The results of the study are used, among other things, for the Danish Energy Agency's annual energy statistics and the Ministry of the Environment's assessment of emissions from wood stoves in Denmark. The study is based on a survey sent to a sample of households in Denmark. The study is conducted every two years, and reports dating back to 2009 can be found on the Danish Energy Agency's website. Statistics Denmark carried out the current study in collaboration with the Danish Energy Agency., Statistical presentation, The statistics calculate the number of homes and holiday homes that are entirely or partially heated by wood stoves, etc., and the proportion these homes represent of the total housing stock. Additionally, the total consumption of firewood, etc., corresponding to the year 2023 is calculated. The results are presented as totals and broken down by geography, primary heat sources, wood stove types, and housing types., Read more about statistical presentation, Statistical processing, The firewood survey is a sample-based survey. The interviews were collected via a web-based questionnaire, with approximately 20,000 responses most recently collected. The selected respondents are scaled to a national level using background information from population and housing statistics registers. The results are adjusted for non-responses, and data is error-checked at both micro and macro levels. During data processing, a limited number of responses are corrected due to inconsistencies or obviously incorrect answers. Household use of firewood, wood briquettes, and wood pellets is converted from physical quantities to total energy consumption based on standard values for energy content., Read more about statistical processing, Relevance, The survey was developed with support from a working group with representatives from the Danish Energy Agency and the Danish Environmental Protection Agency, who use the results for calculating energy consumption and particle emissions from wood-burning stoves. Additionally, the statistics are of interest to others concerned with energy and the environment. As the survey is new under Statistics Denmark, there is no experience yet with user satisfaction., Read more about relevance, Accuracy and reliability, There will always be errors associated with sample-based and questionnaire-based statistics. The survey framework was reviewed and quality assured before distribution, but it is rare to avoid identifying sources of error afterward. The results of the statistics are compared with previous, relevant studies on wood consumption, etc., and deviations are to be expected due to normal sampling uncertainty, minor differences in data processing, and real changes in the prevalence and consumption patterns regarding heating in private homes and holiday homes., Read more about accuracy and reliability, Timeliness and punctuality, The survey is conducted every two years, and the publication time is two months from late May to late August. It is not possible to assess punctuality as the statistics are new under Statistics Denmark., Read more about timeliness and punctuality, Comparability, The statistics replace previous versions of the Wood Survey, which, at the initiative of the Danish Energy Agency, has generally been conducted every two years, most recently in 2021., Read more about comparability, Accessibility and clarity, The plan is for the statistics to be published every other year in the StatBank under the topic , Energy Consumption, with the title , Firewood and Other Biomass for Heating, and in News from Statistics Denmark on Energy Consumption. More detailed results can also be retrieved on the statistics’ , theme page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/use-of-firewood-and-other-types-of-biomass-for-heating-purposes-in-dwellings-and-holiday-cottages

Documentation of statistics