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Documentation of statistics: Sales of food and beverages to food service

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Sales of food and beverages to food service 2024 , Previous versions, Sales of food and beverages to food service 2023, Sales of food and beverages to food service 2022, Sales of food and beverages to food service 2021, Sales of Organic Products to Foodservice 2020, Sales of Organic Products to Foodservice 2019, Sales of Organic Products to Foodservice 2018, Sales of Organic Products to Foodservice 2017, Sales of Organic Products to Foodservice 2016, Sales of Organic Products to Foodservice 2015, Sales of Organic Products to Foodservice 2014, Sales of Organic Products to Foodservice 2013, The purpose of the statistics Sales of food and beverages to food service is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to Retail sales of organic foods. The statistics have been compiled annually since 2013 with grant funding from the Ministry of Food, Agriculture and Fisheries., Statistical presentation, The statistics are an annual web-based questionnaire survey on wholesalers' sales of food and beverages to the foodservice area - i.e. commercial kitchens, restaurants, institutions, etc. – i.e. companies and institutions where food is served. The questions relate partly to total turnover for foodservice, partly to turnover for organic foodservice, distributed over a limited number of product groups and customer groups. The turnover is calculated in terms of value (DKK million) and quantity (tons)., Read more about statistical presentation, Statistical processing, Data for the statistics is collected via a questionnaire-based total count of food wholesalers with over 40 million DKK in turnover. Data is validated in connection with the collection in an online form. Data is subsequently checked and corrected after re-contact with the food wholesalers. Data is then summed up for statistics and key figures are calculated., Read more about statistical processing, Relevance, The purpose of the statistics is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to the statistics Retail sales of organic foods. Foodservice has become more important in recent years and a group of industry organizations and companies have wanted comprehensive statistics on the area. The statistics are also included in the formulation and follow-up of objectives for organic food service., Read more about relevance, Accuracy and reliability, Since the statistics are a total count of companies with over 40 million in turnover, there is no sampling error. Smaller companies' sales are not known, but based on the total turnover, it is estimated that less than 5 percent of total sales to foodservice are from these companies. More than 95 percent of the companies have answered the survey. For some companies, it is difficult to obtain the figures for the survey. These have provided best estimates instead. The total sales are more certain than sales divided into product or customer groups., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 9 months after the end of the reference period. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no common guidelines for international statistics on foodservice., The statistics can be compared to a limited extent with the Retail turnover of organic food. However, this survey measures retail turnover including VAT, in contrast to Sales of food and beverages to foodservice, which measures wholesale turnover excluding VAT., Read more about comparability, Accessibility and clarity, The statistics are published in news release from Statistics , Nyt fra Danmarks Statistik, under the subject Miljø og Energi, Økologi (in Danish only). Statistics Bank publishes figures for Sales of organic goods for foodservice under the subject , Environment and Energy, Ecology, . See more on the statistics' , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-food-and-beverages-to-food-service

Documentation of statistics

Documentation of statistics: Input-Output Tables

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Input-Output Tables 2022 , Previous versions, Input-Output Tables 2020, Input-Output Tables 2019, Input-Output Tables 2018, Input-Output Tables 2017, Input-Output Tables 2016, Input-Output Tables 2015, Input-Output Tables 2011, The purpose of the input-output table is by means of an organized tabulation of detailed economical-statistics to inform about the interactions between production, imports and uses in the economy for a given period. An input The table facilitates a compilation of an input-output model showing direct and indirect interactions in the economy., Statistical presentation, On the basis of National Accounts product balances tables are compiled which in monetary terms describes how goods and services have been flowing in the economy between suppliers and users. The table contains detailed data for economic structures which enables the compilation of an input-output model that can be used to calculate direct as well as indirect consequences of changes in the level of final demand., Read more about statistical presentation, Statistical processing, The national accounts as well as the input-output tables are compiled according to the definitions in EU's "European System of National and Regional Accounts - ESA2010", which is a European version of the UN's "A System of National Accounts 2008". In terms of data the input-output tables is almost entirely based on supply and use tables., Read more about statistical processing, Relevance, Input-output tables are used by e.g. Central Government Administration, trade associations, consultancy companies and others as an important part of large macroeconomic and general equilibrium models and also as an independent tool for assessment of the consequences for e.g. employment and CO2-emissions of various changes in final demand., Read more about relevance, Accuracy and reliability, The inaccuracy of the national accounts figures relates to the inaccuracy of the various sources, which are used. However, the conceptual consistency and, the uniform adaptation of the sources over time contribute to reducing the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases gives rise to the detection of errors, which therefore are not reflected in the final national accounts or in the input-output tables., The uncertainty in the two most recent years (2023-2024) in the series of input-output tables with 69 industries is greater than in tables at the full 117 industry level. This is primarily due to the fact that the data base in the preliminary years is not as complete and comprehensive as in the final years. The two preliminary tables are compiled using a mathematical updating procedure on the latest final version together with new up-to-date information about the row and column totals. , Read more about accuracy and reliability, Timeliness and punctuality, The input-output tables are released once every year at the same time as the final national accounts. The time of release is approximately (almost) 3 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, With a few exceptions the input-output tables can be aggregated into the Danish Industry Classification (DB07) and, thus, input-output tables can therefore easily be combined with other statistics applying the DB07 classification. There is a high degree of international comparability of input-output tables. A lot of effort has been put into keeping the entire time series of input-output tables intact from 1966 through 2011 with no breaks., Read more about comparability, Accessibility and clarity, Input-output data is disseminated mostly on the internet through the http://www.Statbank.dk and the input-output subject page https://www.dst.dk/inputoutput in various file formats. The latter is easier to use because extraction of input-output data from the statbank requires some knowledge of what you are looking for., The strongly aggregated input-output tables published in Statistical Yearbook and Statistical 10-year review are great for a quick overview of the material., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/input-output-tables

Documentation of statistics

Documentation of statistics: Job Vacancies

Contact info, Labour Market, Social Statistics , Monica Wiese Christensen , +45 21 73 34 69 , MWC@dst.dk , Get documentation of statistics as pdf, Job Vacancies 2025 Quarter 2 , Previous versions, Job Vacancies 2025 Quarter 1, Job Vacancies 2024 Quarter 4, Job Vacancies 2024 Quarter 3, Job Vacancies 2024 Quarter 2, Job Vacancies 2024 Quarter 1, Job Vacancies 2023 Quarter 4, Job Vacancies 2023 Quarter 3, Job Vacancies 2023 Quarter 2, Job Vacancies 2023 Quarter 1, Job Vacancies 2022 Quarter 4, Job Vacancies 2022 Quarter 3, Job Vacancies 2022 Quarter 2, Job Vacancies 2022 Quarter 1, Job Vacancies 2021 Quarter 4, Job Vacancies 2021 Quarter 3, Job Vacancies 2021 Quarter 2, Job Vacancies 2021 Quarter 1, Job Vacancies 2020 Quarter 4, Job Vacancies 2020 Quarter 3, Job Vacancies 2020 Quarter 2, Job Vacancies 2020 Quarter 1, Job Vacancies 2019 Quarter 4, Job Vacancies 2019 Quarter 3, Job Vacancies 2019 Quarter 2, Job Vacancies 2019 Quarter 1, Job Vacancies 2018 Quarter 4, Job Vacancies 2018 Quarter 3, Job Vacancies 2018 Quarter 2, Job Vacancies 2018 Quarter 1, Job Vacancies 2017 Quarter 4, Job Vacancies 2017 Quarter 3, Job Vacancies 2017 Quarter 2, Job Vacancies 2017 Quarter 1, Job Vacancies 2016 Quarter 4, Job Vacancies 2016 Quarter 3, Job Vacancies 2016 Quarter 2, Job Vacancies 2016 Quarter 1, Job Vacancies 2015 Quarter 4, Job Vacancies 2015 Quarter 3, Job Vacancies 2015 Quarter 2, Job Vacancies 2015 Quarter 1, Job Vacancies 2014 Quarter 4, The purpose of the statistics is to analyze the development in the number of job vacancies held by employers in the Danish labour market. The job vacancy statistics is an important labour market indicator as businesses typically reduce the number of job vacancies before they begin the dismissal of employees. Data on job vacancies is collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Statistical presentation, The statistics shows the quarterly development in the real number of job vacancies and job vacancy rates in relation to the sum of job vacancies and occupied posts in the Danish labour market. The statistics are broken into economic activity and size, which makes it possible to monitor and analyse the scope and structure of the demand for labour by industry and size level of the workplaces. Furthermore, the number of job vacancies and job vacancy rates at regional level are estimated., Read more about statistical presentation, Statistical processing, The statistics are compiled with use off a digital questionnaire, with a quarterly survey population of approximately 7,000 local units . Data are corrected for errors and for not reported data an imputation is conducted. , Read more about statistical processing, Relevance, The users of the statistics are primary the press, private companies, private persons and Eurostat. The statistic is used in analysis about the demand for labour and in the public debate. Data on job vacancies are collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Read more about relevance, Accuracy and reliability, As with all other sample-based statistics, there are some sample errors associated with the estimates. As is the case in other EU Member States, the variation coefficient (CV), which is the standard deviation in relation to the estimate, is used in calculating the sample errors. For the total number of occupied posts the variation coefficient normally is under 1 per cent, while for the total number of job vacancies the variation coefficient is 3-5 per cent. For the NACE sections and size classes the CV are relatively high. This is due to the great variations between the number of job vacancies reported and the many data reported concerning zero vacancies.., Read more about accuracy and reliability, Timeliness and punctuality, Data are released around 75 days after the reference quarter. The punctuality is very high, as delays in planned releases happen very rarely., Read more about timeliness and punctuality, Comparability, From the third quarter of 2012 a new more updated population is used in the enumeration process. The population is drawn from the ESR-register and contains information on the number of occupied posts, which are only three quarters old compared to the former population which was based on a less updated register. The changed enumeration process is estimated to have impact on the number of job vacancies, but not on the JVR (Job Vacancy Rate), which means that the number of job vacancies are not comparable historically in contrast to the JVR., Read more about comparability, Accessibility and clarity, Data are published quarterly in News from Statistics Denmark. Figures are published in the tables , LSK01, , , LSK02, and , LSK03, . See more at the statistics subject page , Job vancancies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/job-vacancies

Documentation of statistics

Documentation of statistics: Benefits during sickness or in connection with childbirth (Discontinued)

Contact info, Labour Market , Torben Lundsvig , TLU , TLU@dst.dk , Get documentation of statistics as pdf, Benefits During Sickness or in Connection with Childbirth 2019 , Previous versions, Benefits During Sickness or in Connection with Childbirth 2018, Benefits During Sickness or in Connection with Childbirth 2017, Benefits During Sickness or in Connection with Childbirth 2016, Benefits During Sickness or in Connection with Childbirth, Benefits During Sickness or in Connection with Childbirth 2013, The purpose of Benefits in connection with sickness and childbirth is to illustrate the use of the law on sickness respectively maternity law. The statistics have been compiled since 1995, but in its present form comparable from 2003. From the year 2017, the statistics contain only information about sickness benefits because Udbetaling Danmark has taken a new administrative IT system for maternity allowance in use. Maternity benefits will be an independent statistics from 2020. , Statistical presentation, The sickness and maternity allowance is an annual statement of the number of persons, days and amounts paid in connection with illness or childbirth. From the year 2017 only information for unemployment benefit paid in connection with illness. The calculations are distributed according to the legal basis for the payment of unemployment benefits, age, sex and geography. In addition, figures from the daily allowance for sickness and birth are included in the statistics, Publicly Provided, where the extent of absence due to illness or maternity leave is included in a larger context. , Read more about statistical presentation, Statistical processing, Data comes from the two administrative registers The Administrative Joint-municipal Register for Sickness Benefits and the National Administrative Register for Childbirth Benefits (ended May 2017). When received there are some mechanical monitoring and doublets are removed. When estimating the duration of a case not having a finale date the final date is set to the last day of the year if the case is about sickness benefits. If the case is about childbirth benefits the final date is estimated as the starting date plus the average length measured in days of similar cases having a finale date., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining. The sickness benefit part of the statistic is together with the maternity and paternity leave part section mostly used as an important data element of Analyses of the Danish workforce productivity (economic modeling), Statistics Labour Market Accounts, Statistics Persons receiving public benefits and general absence statistics., Read more about relevance, Accuracy and reliability, The statistics summarize the reports of illness, birth or adoption that have triggered the payment of unemployment benefit. The expectation is that all sickness benefit issues with payment will be reported. Similarly, the expectation is that all cases of payment due to maternity leave, maternity leave or leave due to adoption are reported. Therefore, the statistics can be expected to be reliable. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in the month of March the year after the reference year. March is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old., Read more about timeliness and punctuality, Comparability, The statistics is influenced by local Danish law. The law of parental leave is unchanged since 2002 and it is possible to compare the figures back to 2003. Concerning sick leave there has been several adjustment making it more difficult to compare over time., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published s in the tables under the subject , Sickness benefits, and , Maternity benefits, In addition, the statistics include the Statistical Ten Year Overview., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefits-during-sickness-or-in-connection-with-childbirth--discontinued-

Documentation of statistics

Documentation of statistics: Cultural Habits Survey

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , AYB@dst.dk , Get documentation of statistics as pdf, Cultural Habits Survey 2024 , Previous versions, Cultural Habits Survey 2023, Cultural Habits Survey 2022, Cultural Habits Survey 2021, Cultural Habits Survey 2018-2021, Cultural Habits Survey 2018, Cultural Habits Survey 2012, Documents associated with the documentation, Spørgeskema for Kulturvaneundersøgelsen 2018-2023, faste spørgsmål (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2024 (pdf) (in Danish only), The purpose of the Cultural Habits Survey is to document the cultural habits of the residents of Denmark. Culture is broadly defined, as the survey covers habits within the topics of culture, media and recreational activities, e.g. concerts, performing arts, cinema, literature, exercise, digital games and hobbies. The survey has been carried out regularly since 1964. Statistics Denmark has carried out the survey from 2018-2023 and in 2024, while previous surveys have been carried out by the Ministry of Culture. The survey has been carried out with a new questionnaire since the first quarter of 2024, and is therefore not directly comparable with previous versions., Statistical presentation, The Cultural Habits Survey is an interview based quarterly survey among a random sample of Danish residents 16 years or older, which documents the consumption of cultural and recreational activities. The consumption of these activities may occur both in Denmark and abroad. The cultural consumption is grouped in various statistics by i.a. age, gender, education and degree of urbanisation. The current Cultural Habits Survey is ongoing and was first collected in the first quarter of 2024. The survey is communicated in Danish language press releases and in StatBank Denmark., Read more about statistical presentation, Statistical processing, The Cultural Habits Survey is an interview based quarterly survey among a random sample. The survey is carried out by both computer-assisted web interviews (CAWI) and computer-assisted telephone interviews (CATI). Approximately 4,800 responses are collected each quarter. The questionnaire is divided into a general part answered by all participants and four sub-parts, each answered by roughly a fourth of the respondents surveyed via CAWI. Using demographic information from Statistics Denmark's register of the Danish population, the respondents are weighted to compensate for non-response. Data is inspected for errors. A yearly dataset is compiled by the combination of the data for each quarter of the year., Read more about statistical processing, Relevance, The Cultural Habits Survey is carried out and developed in close cooperation with the Ministry of Culture and is the ninth in the series of the cultural habits of Danish residents carried out since 1964. The current survey accommodates a series of user needs, among which are more frequent statistics, the possibility for investigating geographic variation and the surveying of a broader definition of culture. The user needs have been identified through a thorough assessment of the Cultural Habits Survey 2018-2023. The assessment comprised the Ministry of Culture, researchers and users from public institutions., Read more about relevance, Accuracy and reliability, The Cultural Habits Survey is based on approximately 4,800 responses per quarter, which is a robust amount of data, contributing to lessening the sampling error. The error of the estimates are further reduced by the use of a mixed mode of data collection and multiple attempts at contacting each respondent. The error is however significantly greater for those questions which are part of the four sub-parts as these are each based on an amount of data roughly one fourth the size of the total amount., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference period. The statistics are published without delay compared to scheduled publishing times., The statistic on membership for youth and outdoor activities organisations is published yearly in June, with data for the preceding year., Read more about timeliness and punctuality, Comparability, The survey has been carried out since 1964, but is in its current form only comparable with earlier versions to a limited degree. This is partly due to societal and technological changes and partly due to changes in the needs of users which has resulted in major revisions of the questionnaire in 2018 and 2024. The questionnaire is developed according to UN guidelines and is therefore partly comparable to statistics from other countries, among these the Nordic countries and EU countries., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark (available only in Danish, . In the StatBank, the figures are published under , Adults' cultural habits, . For more information, see the topic page , Cultural and recreational activities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-habits-survey

Documentation of statistics

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in Denmark's Data Portal. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Research Services must create the population, If Research Services is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in Denmark's Data Portal, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Research Services have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Research Services prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Research Services uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Research Services creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or additional data to be used , Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Research Services uses the term `case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in Denmark's Data Portal, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Research Services, we prepare a detailed extraction description of the case control population. The final extraction description is attached as an appendix to the project proposal. Please note that Research Services only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Access to business data

Business data refers to data on Danish enterprises and Danish trade and industry. This page gives an overview of who can get access to business data from Statistics Denmark and the possibilities to apply for an exemption to get access. , Business data and business data with limited access, Business data from Statistics Denmark covers a wide range of data on industries and data on the size, location, accounts, employment, development over time, etc. of Danish enterprises. Some types of business data involve competition- and market-sensitive information, which is why access is limited. For example when data concerns the activities or financial affairs of enterprises., See the overview of business data with limited access in Statistics Denmark (Excel, in Danish) , Note, : To protect competition- or market-sensitive information, business data with limited access is not available until at least one year after the reference year., Business data – who has access?, A person can get access to all (pseudonymised) business data in Statistics Denmark, including business data with limited access, if that person has an approved association agreement with a Danish institution that is authorised under Statistics Denmark’s Research scheme and that is , a Danish public institution, or , a private Danish institution in the category “interest organisation, think tank, etc.”, ‘Danish institution’ means an institution within the national community of Denmark, Greenland and the Faroe Islands. You can find the special rules for Greenland and the Faroe Islands under , Authorisation of institutions, ., Business data with limited access – who does not have access?, Generally, people employed in Danish private consultancies may not get access to business data with limited access., People employed by other Danish or foreign private companies (such as banks, pension funds and insurance companies) or by foreign consultancy firms are not permitted to access business data with restricted access., Business data with limited access – who can apply for an exemption? , In connection with specific projects, Danish private consultancies that do not have access in general to business data with limited access can apply for an exemption. This is only an option if:   , the data controller institution for the project is a public, Danish and authorised institution (see “a” above) or , the data controller institution for the project is a private and Danish institution in the category “interest organisation, think tank, etc.” (see “b” above) or, the data controller institution for the project is a public, Danish institution and an institution authorised as a client, which engages a private consultancy to perform an analysis for the institution for which business data with limited access is needed and the consultancy’s authorisation does not grant access to this data. , Read more under Authorisation of institutions, Apply for an exemption , If you are eligible to apply for an exemption (and thus comply with item 1, 2 or 3 above) and want to apply, please inform the project owner in Statistics Denmark early in the project proposal process. This ensures that the project owner can take this into consideration during the approval of the project proposal.  , Furthermore, you need to complete the request template from Statistics Denmark and send it to your project owner, when the project for which you are applying for business data with limited access has been approved., Template for request for exemption for business data with limited access (docx, template only available in Danish), Note, : The request template must be adjusted with your own official business stationery design, signed and sent (in Word or PDF format). If you need help filling in the template, for example purpose and description, you can consult Statistics Denmark’s guide on , how to create a project proposal, . , Request for exemption – how does it work?, For every request for exemption, Statistics Denmark makes a thorough assessment in four steps: , When the project proposal has been approved, the data controller institution completes a request template, adapt it with their own official business stationery design, sign it and send it to the project owner in Research Services., The project owner in Research Services assesses if there are grounds for an exemption. Note: The criteria for approval are the same as for a project proposal. , Read more in How to create a project proposal, The project owner in Research Services sends the request for exemption for approval by the Director General of Statistics Denmark., When the request for exemption has been approved, the approval is returned to the data controller institution and the consultancy charged with the task., If you have questions about exemption, please contact , Forskningsservice@dst.dk, or your project owner in Research Services. In the subject field, you should write: , ’Project number xxx - Re. exemption with respect to business data with limited access’, .,  

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/adgang-til-erhvervsdata

Documentation of statistics: Construction cost index for residential buildings

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , pfj@dst.dk , Get documentation of statistics as pdf, Construction cost index for residential buildings 2025 , Previous versions, Construction cost index for residential buildings 2024, Construction cost index for residential buildings 2023, Construction cost index for residential buildings 2022, Construction cost index for residential buildings 2021, Construction cost index for residential buildings 2020, Construction cost index for residential buildings 2019, Construction cost index for residential buildings 2018, Construction cost index for residential buildings 2017, Construction cost index for residential buildings 2016, Construction cost index for residential buildings 2015, Construction cost index for residential buildings 2014, Documents associated with the documentation, Weight basis 2024- , Construction cost index for residential buildings (pdf), Weight bases 2015-2023, Construction cost index for residential buildings (pdf), Omregning mellem BYG42 og BYG43 (pdf) (in Danish only), The construction cost index for residential buildings reflects the evolution of housing construction costs in Denmark. The index is used, among other things, to regulate building contracts. The primary users of this index are construction organizations, entrepreneurs, housing developer, professional craftsmen, solicitors, public institutions and the EU. The construction cost index has been published since the first quarter of 2003 and replaces the former construction cost index., Statistical presentation, The construction cost index for residential buildings is produced each quarter to follow the change in construction costs for residential buildings in Denmark. The index is published for a one-family house and a multi-family house, in addition to all residential buildings which is based on a weighting of the two indices. All indices are further more broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total indices and the sub-indices are divided into material costs and labor costs., Read more about statistical presentation, Statistical processing, The Construction cost index for residential buildings is based on three actual housing constructions. The constructions are typical for the construction of residential building in Denmark and are selected on the basis of an analysis of the current construction. The costs of the three constructions forms the weights of the indices. These weights are used to weigh together the prices of the cost components., Read more about statistical processing, Relevance, Construction cost index for residential buildings is used for contract regulations and to follow the economic development of construction costs. The primary users of the index are construction organizations, entrepreneurs, housing developers, professional craftsmen, solicitors, public institutions and the EU., Read more about relevance, Accuracy and reliability, The construction cost index for residential buildings covers the development of typical residential house construction in Denmark. It is assumed that the nine buildings that form the weight basis of the index are actually representative of typical house constructions in Denmark. Measures on accuracy are not available, but continuous monitoring and improvement of the quality of pricing data and weights means that the index is evaluated as being of high quality and representative of the general development of house building costs in Denmark. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 65 days after the end of the quarter: primo March (Q4), primo June (Q1), primo September (Q2) and primo December (Q3). Yearly statistics are published once per year in connection with publication of the 4th quarter. The statistics are normally published without delay in relation to the announced time of publication., Read more about timeliness and punctuality, Comparability, The Construction cost index for residential buildings follows European regulations and is therefore comparable to construction cost indices produced by countries that report to Eurostat. The index can also be linked to former construction cost indices for residential buildings (2003 = 100 and 1987 = 100). Historically, construction cost statistics have been calculated since the 1920's, but those are not comparable to the contemporary statistics., Read more about comparability, Accessibility and clarity, The statistics are published in "Nyt fra Danmarks Statistik" (News from Statistics Denmark) and in "Byggeri og boligforhold" (Construction and housing) which appears in "Konjunkturstatistik" (Main indicators)., Yearly publications: , Statistical Yearbook, and , Statistical ten-year review, ., Statistics are available from Statbank Denmark at: (http://www.Statbank.dk): , Byg43, and , Byg53, . Find more information at , Index of production in construction, ., Furthermore, it is possible to subscribe to the construction index by so-called , postcards, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-cost-index-for-residential-buildings

Documentation of statistics

Documentation of statistics: Drug Abuse Treatment

Contact info, Personal Finances and Welfare, Social Statistics , Benedikte Beckman Nygaard , +45 21 19 10 53 , bbn@dst.dk , Get documentation of statistics as pdf, Drug Abuse Treatment 2024 , Previous versions, Drug Abuse Treatment 2023, Drug Abuse Treatment 2022, Drug Abuse Treatment 2021, Drug Abuse Treatment 2020, Drug Abuse Treatment 2019, Drug Abuse Treatment 2018, Drug Abuse Treatment 2017, Drug Abuse Treatment 2016, The purpose of the statistics is to shed light on drug abuse treatment in Denmark provided by municipalities to citizens under Section 101 of the Social Services Act, Section 142 of the Health Act, and Section 33 of the Child Act. The statistics are used, among other things, to account for the number of citizens in drug abuse treatment, the number and types of drug abuse treatments, and to monitor adherence to the 14-day treatment guarantee from request to initiation of treatment. The statistics have been published since 2015 and are comparable throughout the period, but significant improvements in data quality have been made continuously. In this release, all municipalities have approved their reports for 2021-2024., Statistical presentation, These statistics are a annual measurement of the municipalities' drug abuse treatments activities initiated by the municipalities calculated in terms of number of activities (request, initiation, ended treatment courses), courses and persons. These statistics are grouped by municipalities, sex and age groups., Read more about statistical presentation, Statistical processing, Data for these statistics are continuously collected municipalities directly to SMDB or automatically through system-to-system solutions via the municipality's administrative IT-system., Data are validated extensively by asking the responsible municipality to check their reported data online for validation and approval. Hereafter, we initiate validation processes that e.g. remove persons with invalid social security numbers or who have ended their treatment because they died., Read more about statistical processing, Relevance, The statistics are relevant to anyone with an interest in the field of drug abuse, including researchers, municipalities, drug abuse treatment providers, regions, ministries, as well as interest organizations. The statistics provide concrete knowledge about publicly referred and paid drug abuse treatment in Denmark and contribute more generally to an understanding of the drug abuse field. The data foundation is used for research purposes and internationally within the EU framework, but also in policy contexts by, for example, the Ministry of Social Affairs and the Ministry of Health and Interior to formulate new policies in the field of drug abuse., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is under continuous improvement. In 2021-2024 full coverage has been achieved for all municipalities (i.e. all 98 municipalities have approved their data). , There may generally be some uncertainty due to varying registration practices in municipalities., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are normally published six moths after the end of the reference period. , Read more about timeliness and punctuality, Comparability, The statistics are compiled in the current, comparable form for 2015-2024. There are no European guidelines for statistics on social drug abuse treatment. There are European comparable statistics where data for Denmark are provided by the Danish Health and Medicines Authority. , When comparing these statistiscs across boaders, it should be taken into account that differences in registration practices and structural differences between countries may affect comparability. In the international context, the Health Data Agency and the Health Authority are responsible for reporting to , EUDA, , so inquiries about international comparability can advantageously be directed to them., When comparing over time, it should be noted that there are differences in registration practices among municipalities, and certain questions may be interpreted differently depending on the case worker completing the forms. Furthermore, changes in reporting requirements over time and the transfer of substance abuse treatment to different authorities may affect comparability. As of January 1, 2024, the Enrollment, Services, and Discharge forms became voluntary to report, and as of January 1, 2025, they will no longer be possible to report. Therefore, the register SMDB_IBIB has been closed., 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 the subject , Drug abuse treatment, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/drug-abuse-treatment

Documentation of statistics

Documentation of statistics: Notifications of concern for children and young people

Contact info, Personal Finances and Welfare, Social Statistics , Marko Malic , +45 51 70 56 95 , MMC@dst.dk , Get documentation of statistics as pdf, Notifications of concern for children and young people 2024 , Previous versions, Notifications of concern for children and young people 2023, Notifications of concern for children and young people 2022, Notifications of concern for children and young people 2021, Notifications of concern for children and young people 2020, Notifications of concern for children and young people 2019, Notifications of concern for children and young people 2018, Notifications of concern for children and young people 2017, Notifications of concern for children and young people 2016, Notifications of concern for children and young people 2015, The purpose of the statistics is to shed light on notifications concerning children and young people received by municipalities in Denmark. The data are used for purposes such as policy development and legislation, public debate and research in the field., The statistics were first compiled by the Danish Social Appeals Board (Ankestyrelsen) in 2015 and have been part of Statistics Denmark’s publications since 2016., Statistical presentation, The statistics provide an annual overview of notifications concerning children and young people under the age of 18., The data include information on the number, age, and gender, date of the notification, the notifier’s relation to the child, reason for the notification, and the administrative municipality., The statistics are published in the StatBank and in the Nyt from Statistics Denmark series., Read more about statistical presentation, Statistical processing, Municipalities report information on child welfare notifications to Statistics Denmark. This is done either automatically through system-to-system solutions or manually via a web-based reporting tool., Once a reporting year has ended, each municipality receives a summary of the data submitted. In cooperation with Statistics Denmark, any errors or missing information are corrected. The municipality then confirms that the data accurately reflect the number of notifications for the year. This process is called data validation., Read more about statistical processing, Relevance, The statistics are relevant to researchers, journalists, public authorities – including ministries and municipalities – and others who seek knowledge about the conditions of vulnerable children and young people., Read more about relevance, Accuracy and reliability, Non-response and measurement errors introduce only minimal bias., The figures are approved by the municipalities, and the overall level of uncertainty is considered low., Data in the StatBank Denmark are republished with updates going back up to two years. These updates mainly consist of minor corrections due to non-response and measurement errors, and do not affect the overall picture., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published no later than nine months after the end of the reference period. The statistics are generally published on schedule, without delays. For the reporting years 2021–2024, publication followed the planned timeline. A delay occurred for the 2020 reporting year due to data delivery issues, but these were resolved before the subsequent release., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2015 and are comparable over time, taking into account the revision in 2017 and the addition of new categories in 2022 and 2024. The annual count makes the data directly comparable, unlike other statistics from Statistics Denmark on vulnerable children and young people (such as placements and support measures), which are status-based. There is some potential for international comparison, particularly with statistics from Sweden and Norway., The statistics are partially internationally comparable, for example with equivalent statistics from Sweden, Norway, and – to some extent – Finland., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data is available in the StatBank under the topic , Disadvantaged children and youth, . For more information, visit the , topic page of the statistics, . , Contact DST Consulting for access to micro-data., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/notifications-of-concern-for-children-and-young-people

Documentation of statistics