Search result

BOL202: Occupants

county, use, heating, toiletfacilities, bathfacilities, kitchenfacilities, age, sex and time
2010-2025 (Number)

https://www.statbank.dk/BOL202

Tables in StatBank

VNKSFK: Versionstabel NKSFK - Nationalregnskabets finansielle konti

version, sector, balance sheets, account entry, financial instrument, counterpart sector and time
1999Q1-2025Q2 (m DKK)

https://www.statbank.dk/VNKSFK

Tables in StatBank

Specifically about re-proposals

If you need to update a project that has already been approved and created, a re-proposal is required. This means that your project proposal must be updated in Denmark’s Data Portal and re-assessed by an employee from Research Services., You must make a re-proposal, if you want to update the existing data of your project, so that it is supplemented with additional years in the same registers. The same applies if you want to add entirely new data (registers/variables), whether it is new data from Statistics Denmark’s basic data, from external providers and/or from your own data. , Video guide for creation of re-proposal (in Danish), The procedure for re-proposals varies depending on which type you are making. Get help with the different types of re-proposals in the guides at the bottom of the page., General principles for re-proposals of projects, Data relevance and data minimisation, a. The statement of the purpose of data must be specific, precise and easy-to-understand., b. The combination of register units and types of populations must be justified., c. “Additional data” must also be covered in terms of relevance to society/purpose/description., The proposal must give a comprehensive view of the project, while the appendix has the details, a. It must be possible to read the proposal and the appendix both separately and as coherent documentation of a project.,  , Guide for re-proposal of an approved project created before Denmark’s Data Portal, Projects that were created and approved before we transitioned to Denmark’s Data Portal (projects created before 15 September 2022) already exist in Denmark’s Data Portal, but the project proposal is blank. When you are going to re-propose the project for the first time, you have to complete the project proposal.  ,  , Project details, Text from the original project proposal must be entered in the fields ‘Purpose’, ‘Description’ and ‘Relevance to society’., If relevant, add more text to ‘Purpose’, ‘Project description’ and ‘Relevance to society’. Note that the project proposal must meet Research Services’ requirements to project proposals., Check also that the end date matches how long you expect to need access to data, and choose who can approve the project proposal among the signatories of the institution., Project access, Check if the right authorised users have been granted access to the project. Add or remove project access, if you wish. If users, to whom you want to give access, do not have access, an administrator or contact person with powers can add them by clicking the icon ‘Project access’ at the top of the workflow. This can also be done after approval of the project proposal. , Data content, Under Data content, the majority of basic data from the original project proposal has already been uploaded, but populations have not been described. Your originally loaded data content is located under ‘POP A – migrated data’ and is locked against editing. You must check for yourself if all your basic data has been loaded to POP A and, if relevant, add what is missing., Pay special attention to the fact that longitudinal and incident registers also need to be added. It is only possible to select these for the latest year and they may have been re-named. The most recent longitudinal and incident register must therefore be selected as documentation for the project. This also applies, even though the project has older versions of the register and you do not want to buy access to the more recent version., To update the data content in the re-proposal, you must:, Duplicate POP A to a POP B, so that they are identical., a) Copy data from ’POP A – migrated’ data to ’POP B Basic data’. You can copy all data from POP A by clicking the three dots to the right of the heading and select ’Duplicate population’. Add any data located in raw data that has not been migrated., b) It must be possible to read POP B as the project’s original/first population (if there are several populations)., In the field for POP B, you must insert the original description of the population under ’Description’., a) If you need to extend the population and have the same register extraction as the original population, you can write this under the description of POP B., b) If the extended population is to have a new or changed register extraction, it can be created as a new POP C with a separate data description., ’Additional data’ must only appear in one location: If you have additional data, this must not be added to POP A., a) Additional data is described as a whole under POP B or, if relevant, under the population it concerns. Data may only be described in one location., b) Under the additional data of any other populations, you must refer to the additional data of the first population., If you only want to update the project with more register years: Add the new years/variables and send an attachment to your contact person indicating which new variables/years you want for each register., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything., Summary, Check the content of your re-proposal here. Once you have completed the documentation of all data sources, you must send the re-proposal to the administrator of your institution by clicking ‘Submit to administrator’. The administrator will review the re-proposal before sending it to Research Services., If you yourself are an administrator of your institution or a contact person with special powers, you can send the re-proposal directly to Research Services. Click ‘Submit’., After that, Research Services will go through the proposal and make comments, if relevant. You are welcome to submit the proposal, even though you are in doubt about a few things. Later, we can then look at it together., If you already have a contact person from Research Services attached to your project, we recommend that you also send an email to your contact with an overview of what needs to be updated., Guide for re-proposal of an approved project created in Denmark’s Data Portal, If you have a project that has been created and approved in Denmark’s Data Portal, it is already on the platform with a completed project proposal. When you are going to re-propose the project in order to update data, you can use the old project proposal as a basis. The old project proposal will continue to be visible in Denmark’s Data Portal, and the system automatically marks any changes., When you are going to create a re-proposal, you must go to ‘Data orders’ and then click ‘Re-proposal’. Here, you will see a list of the projects you can access. Select the project that you want to re-propose. You are now automatically guided to a project proposal flow where you can add information to the existing project proposal. It is not possible to edit previously approved content., Project details, Under the first tab ‘Project details’, you will see the already existing project proposal to which you can add text. If relevant, add more text to ‘Purpose’, ‘Project description’ and ‘Relevance to society’. Note that the project proposal must meet Research Services’ requirements to project proposals., Check also that the end date matches how long you expect to need access to data, and choose who can approve the project proposal among the signatories of the institution., Project access, Check that the right authorised users have been granted access to the project. Add or remove project access, if you wish. If requested users do not have access, contact persons with powers or an administrator can add them by clicking the icon ‘Project access’ at the top of the workflow. This can also be done after approval of the project proposal., Data content, Under ’Data content’, you will find your originally loaded data content., Basic data, You can add data to the populations that have already been created and approved on the project. Click ‘Add data’ under ‘Data content’ to add basic data. Then select if you want ‘Basic data’ or ‘Additional data’, and select the population to which data should be linked. Subsequently, you can search for specific registers by means of search words or the subject structure. When you select a register, you can see the register coverage period and the variables included in the register, If you click ‘Add’, the register is added to the basket, and you must click it to select register period and variables., If you click ‘Select variables’, you go directly to the page where you can select period and variables., Additional data, If you want to update the project with data that is not from Research Services’ basic data, you must also click ‘Add data’ under ‘Data content’. Then select if you want ‘Basic data’ or ‘Additional data’, and select the population to which data should be linked. You now get to a page where you can see to which populations you are about to add data. Click ‘Add source’ and give the source a meaningful title and description. For example ’Danish cancer register (Source: The Danish Health Data Authority)’, ’Survey (Source: Statistics Denmark)’ or ’Danish laboratory database (Source DKKP)’. Upload list of variables and appendix to the project proposal., Populations, You can also create an entirely new population: Click ‘Create population’ directly under the heading ‘Data content’. For the new POP, you must enter a title, description and the basic data that it is going to tap into. Edit the population title and description by clicking the blue square with an arrow to the right of your population title. Here you must describe the requested population in non-professional terms. If the population is created on basic data, you must upload an appendix with a description of which registers, years and variables it must tap into., General recommendations for the data content, If your project has several populations with the same data content, you can describe these under the same population. In this event, indicate it clearly using subheadings in the free text field if there are several sub-populations. You can also create these as separate populations, such as POP A and POP B. In that case, you only need to add basic data to the first of the created populations, such as POP A. For the remaining populations, add an ‘Additional data’ source including a reference to the data basis of the first population, for example ‘see POP A for Data basis and Additional data sources’., If your project has multiple populations with different or partly different data content, you must create these as separate populations. Different data content must be added and described under the specific population to which data is to be provided., Note that it is not possible to edit population descriptions, once they have been approved. However, you can add data sources and change the description of ‘Additional data’ sources in connection with subsequent re-proposals., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything. , Summary, Check the content of your re-proposal here. When you have completed the documentation of all data sources, you must send the re-proposal to the administrator of your institution by clicking ‘Send to administrator’. The administrator will review the re-proposal before sending it to Research Services., If you yourself are an administrator of your institution or a contact person with special powers, you can send the re-proposal directly to Research Services. Click ‘Submit’., If you already have a project owner from Research Services attached to your project, you must also send an email to the project owner with an overview of the registers and years that must be updated., Re-proposal of subproject created , before, Denmark’s Data Portal, If your project was created before the launch of Denmark’s Data Portal, all the data on the project must be registered. Since one of the conditions for approving the project proposal is that the population is described and well defined, and regrettably, it is not possible to edit the description of POP A, you must create a new population. If the project consists of several populations, you must create a corresponding number., Create a new population, : Click ‘Create population’ under ‘Data content’. Edit the population title and description by clicking the blue arrow next to the population. Describe the requested population in non-professional terms. If the population is created based on data from Denmark’s Data Portal, you must upload an appendix with a description of the registers, years and variables it must tap into, so that it is possible to programme it. If it is an external population, you must describe it and upload an appendix with a description of the population., Add data from Denmark’s Data Portal, : Click ‘Add data’ and select either ‘Data from Denmark’s Data Portal’ or ‘Project database’. Select relevant populations and search for specific registers. Add registers to your basket to select register period and variables., Data from Project database, : Register already transferred data from the project database under ‘Data from Project database’ by indicating register name and year. If data exists in the project database, you should choose to register it here., Additional data, : Add registers that are no longer available in Data from Denmark’s Data Portal under ‘Additional data’. This includes historical data. Select ‘Additional data’ under data sources, indicate the name of the register and period, and indicate that it is historical data., Other data, : Add already approved data from sources outside Denmark’s Data Portal under ‘Additional data’. Describe any additional data on the project here, and upload a list of variables and documentation as an appendix, if so required. Examples could be the Danish cancer register or survey data from Statistics Denmark., Check, : Now check that all data provided on the project is documented. If registers or appendixes are missing, you can still add these., You are now ready to add new data. This is done as already described. Bought-in data from Denmark’s Data Portal must be registered as ‘Data from Denmark’s Data Portal’ on the project, transfer from the project database must be registered under ‘Data from Project database’ and external data must be added under ‘Additional data sources’. Note that you cannot select a register from both Denmark’s Data Portal and the project database. If you do not have all variables on the project database, you can buy-in the register from Denmark’s Data Portal. Your contact person in Research Services needs you to send an appendix with the registers, years and variables that you want for the re-proposal., Re-proposal of subproject created in Denmark’s Data Portal, It is possible to edit directly in data on the populations that have already been created and approved in the subproject. You can add bought-in data from Denmark’s Data Portal, register data from Denmark’s Data Portal extracted from the project database as well as register external data. Moreover, you can create new populations., Add data from Denmark’s Data Portal, : Click ‘Add data’ under ‘Data content’. Select either ‘Data from Denmark’s Data Portal’ or ‘Data from Project database’, and select the populations to which data must be attached. You can search for specific registers by means of search words or the subject structure. When you select a register, you can see its coverage period and the variables it includes. If you click ‘Add’, the register is added to the basket, where you can select register period and variables. If you click ‘Select variables’, you go directly to the page where you can select period and variables., Data from Project database, : Data that is to be transferred from the project database must be registered under ‘Data from Project database’ with register name and year. Please note that you cannot select a register from both Denmark’s Data Portal and the project database. If you do not have all variables on the project database, you can buy-in the register from Denmark’s Data Portal., Additional data, : You can add data that are not from Denmark’s Data Portal under ‘Additional data’ sources. This could be member data or data from the Danish Health Data Authority. For each additional data source, you must indicate a title and a description of data. The description must be telling and brief and may include specification of period and list of variables. If you have a list of variables, you can also upload this to the project., Create a new population, : Click ‘Create population’ directly under the heading ‘Data content’. Edit the population title and description by clicking the blue arrow next to the population. Describe the requested population in non-professional terms. If the population is created based on data from Denmark’s Data Portal, you must upload an appendix with a description of the registers, years and variables it must tap into, so that it is possible to programme it. If it is an external population, you must describe it and upload an appendix with a description of the population., Note that it is not possible to edit population descriptions, once they have been approved. However, you can still add data sources and change the description of ‘Additional data’ sources in connection with subsequent re-proposals., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything., Summary, Check the content of your re-proposal., When you have completed the documentation of all data sources, you can submit the project proposal for approval., If you are not the administrator of your institution or a contact person with special powers, the institution administrator must review and submit the project proposal to Research Services. Click ‘Send to administrator’., If you are the administrator of your institution or a contact person with special powers, you can submit the proposal directly to Research Services. Click ‘Submit’., If you already have a contact person from Denmark’s Data Portal attached to your project, we recommend that you also notify that person. 

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

Prices and price agreements

The price of a Research Services assignment is based on the time it takes to solve the part elements of the assignment. We have two types of price agreements: , fixed-price agreements and framework agreements, . You can also commission a combined fixed-price and framework agreement. Furthermore, you will be paying rent for disk space for active projects on Statistics Denmark’s servers. If you have your own-hosted server set up at Statistics Denmark, you must pay for the set-up and for routine maintenance., Table 1: Hourly rate and renting of disk space, Hourly rate for private institutions, DKK 2,299 excl. VAT, Hourly rate for public institutions*, DKK 1,674 excl. VAT (after deduction of the special contribution from the Danish e-infrastructure Cooperation via the coordinating organ for register research, KOR)., Renting of disk space, DKK 16 excl. VAT per 5 Gigabyte (GB) disk space per quarter, *For public authorised institutions, a special contribution is given towards the hourly rate from the Danish e-infrastructure Cooperation via KOR., Research Services offers paid-for services to users of Statistics Denmark’s microdata schemes. Initially, we offer consultancy in connection with questions for clarification of an assignment. For this, we invoice the actual time used at the hourly rate in force at any time. This also applies should you decide to not proceed with the assignment. If we subsequently enter into a specific fixed-price agreement for the assignment, the service and consultancy will be included in this (within reason)., Fixed-price agreements and framework agreements, Both fixed-price agreements and framework agreements are based on the time it takes to process and deliver an assignment. The time is charged by the hourly rate in force at any time. Research Services uses standardised prices based on the average estimated time consumption for a given service assignment., Fixed-price contract, The price is determined based on an estimated time consumption for a given service. With a fixed-price agreement, you thus pay the same price for comparable services., Further on the structure of fixed-price agreements, The price of a fixed-price agreement is based on one or more of the following assignment elements. The below table shows the various elements of the assignment, which are charged on the basis of fixed-price agreements and associated time consumption., Assignment element, Time consumption, Project proposal (processing and approval hereof), 2, Extraction of one data set from register, 1.05, Extraction of two data sets from register*, 1.09, No additional time charge in case of data extraction from register <= 15 variables,  0, Additional time charge in case of data extraction from register > 15 variables,  0.5, *The price increases with 0,047 hours pr. dataset, Further, the assignment price consists of a fixed extra charge for additional services and consultancy of 20 per cent of the price of the assignment part elements, which are not necessarily in direct contact with you. Such part elements are, for example, participation in meetings etc., internal documentation, documentation requirements, invoicing etc., Data extraction from registers include time consumption for e.g. programming, pseudonymisation and control of data extractions from , Research Services databank of basic data, . The fixed price agreement may also include time consumption for processing and pseudonymisation of a population submitted to Research Services from other sources than the Research Services databank of basic data., Framework agreements, The price is variable and the service is charged according to the actual time consumption on the specific service. We invoice every hour of work commenced. If we have used less than one hour on an individual assignment, we invoice for the first hour of work commenced., Further on the structure of framework agreements, The following assignments, Research Services carries out based on a framework agreement:, Population creation as well as case control populations. The service covers counselling regarding the extraction description as well as the subsequent population creation. , Data from statistical division or Survey in Statistics Denmark. This is charged via a framework agreement based on the actual time consumption. The service includes, for example, data extraction from register in the statistical division, pseudonymisation and direct communication and consultancy, back office activities and internal communication., Data submitted from sources outside Statistics Denmark. This is charged via a framework agreement based on the actual time consumption. The service includes control and pseudonymisation of the submitted data. See estimated time consumption and prices for delivery of submitted data under , Linking other data, .,  , Part elements of an assignment, The total price of a given assignment depends on the time it takes to solve the assignment and the part elements involved. For that reason, the price may vary from one assignment to the next. For example, the price depends on how many registers that are required to create a population, or from how many registers the project requires extraction of data., See the part elements of the assignment, Project proposal, : Processing and approval. The project proposal is charged via a fixed-price agreement, which is based on a fixed time value corresponding to two hours., Population, : Population creation is charged via a framework agreement, which is based on the time it takes Research Services to create the population., Standardised data from Statistics Denmark’s databank of basic data, : This is charged via a fixed-price agreement, which is based on fixed time values per number of registers and variables., Additional services and consultancy, : Direct communication and consultancy, back office activities and internal communication. This is charged via a fixed-price agreement that is based on fixed time values depending on the scope of the assignment., Additional data from Statistics Denmark, : Data extraction from register, direct communication and consultancy, back office activities and internal communication. This is charged via a framework agreement that is based on actual time consumption., Data from other data providers, : Processing of data submitted from you or other data providers. The data processing is charged via a framework agreement that is based on actual time consumption., Special data from Statistics Denmark, : Data compiled especially for the users (not in connection with statistics). The compilation is charged via a fixed-price or framework agreement that is based on actual time consumption for compilation divided by expected sales.,  , Examples of price calculations, Example of price calculation for a new research project, The following price calculation includes processing of the project proposal as well as data extraction on demographics (BEF), educational attainment (UDDA), income (FAIK and IND) as well as employment information (DREAM). The price calculation is based on a project with full register extraction where the user creates the population. , Since Research Services rounds up to the nearest whole number due to the standardised price calculation method, the price is calculated according to the following table., Assignment element, Time consumption, Price, Project proposal, 2, Data extraction from register, 6, Data extraction from register > 15 variables, 0,  , Subtotal, 8 ,  , Additional services and consultancy (extra charge 20 per cent)*, 1 ,  , Total hours used, 9,  , Public user,  , 9 hours * 1,674.00 DKK = 15,066.00 DKK, Private user,  , 9 hours * 2,299.00 DKK = 20,691.00 DKK, *The additional service fee corresponds to 20% of the hours for processing of the project proposal, data extraction as well as other requirements (programing/data)., Please note that the price calculation does not include population creation. If Research Services should create the population, this will be carried out based on a framework agreement., Example of price calculation for a new research project enriched with data from the Danish Health Data Authority, This price calculation includes processing of the project proposal, population creation (based on a framework agreement) as well as data extraction on demographics (BEF, BEFADR, VNDS, DOD) and registrations in the National Patient Register (LPR_ADM, LPR_BES, LPR_DIAG, LPR_SKSUBE). The population consists in persons with a consumption of some specific types of medicinal products found via variables in the Danish National Prescription Registry (LMDB2005-2015). These persons must not be registered as emigrated in the register ‘Historiske vandringer’ (VNDS), meaning that they must be marked INDUD_KODE=U. Furthermore, they must not be registered in ‘Døde i Danmark’ (DOD). Moreover, the population from Statistics Denmark is transferred to the Danish Health Data Authority for enrichment with data from the Danish Pathology Register. The processing and pseudonymisation of data from the Danish Health Data Authority are not included in the price., Assignment element, Time consumption, Price, Project proposal, 2, Data extraction from register, 14, Data extraction from register > 15 variables, 0,  , Subtotal, 16 ,  , Additional services and consultancy (extra charge 20 per cent)*, 4 ,  , Total hours used, 20,  , Public user,  , 20 hours * 1,674.00 DKK = 33,480.00 DKK, Private user,  , 20 hours * 2,299.00 DKK = 45,980.00 DKK, Framework agreement for the population creation, Assignment element , Estimated time consumption**, Price, Population creation, 5, Public user,  , 5 hours * 1,674.00 kr. = 8,370.00 DKK, Private user,  , 5 hours * 2.299,00 kr. = 11,495.00 DKK, *The additional service fee corresponds to 20% of the hours for processing of the project proposal, data extraction as well as other requirements (programing/data)., **After the population is created, the time actually sepnt by Research Services is billed at the hourly rate applicable at any given time.,  , Determination of the hourly rate, The hourly rate is determined once a year based on four part elements. The final hourly rate consists in a number of part elements including a development contribution of 3 per cent., Surcharge, : Income forecast for the current year and accumulated surplus/deficit from previous years, Overhead Statistics Denmark and externally funded activities, : Joint expenses, for example for staff, rent, electricity etc. and common administration of externally funded activities, such as maintenance of data bank of basic data, development of externally funded activities etc., Overhead Research Services, : For example, authorisation of new institutions, control of transferred files, sanctioning and general development of the microdata schemes and Statistics Denmark’s Data Portal etc.,  , Other services, Renting of disk space, Projects take up space on Statistics Denmark’s servers. For that reason, we have introduced renting of disk space, so that you as a user are made aware of how much storage capacity your project takes up on Statistics Denmark’s servers. You will only pay for disk space for active projects using a storage capacity over 5 Gigabyte (GB) on the servers. An active project is defined by a minimum of one user logging on to the project within a quarter., Disk space renting is charged on a quarterly basis, and you are invoiced for all projects for which your institution is data controller. For an individual active project using a storage capacity of more than 5 GB, the institution will be charged quarterly in units of 5 GB. Disk space renting will be charged, regardless of the reason for logging onto the project and how often during a quarter., Hosted server, Statistics Denmark also offers to host your own servers, which will be located at Statistics Denmark. , Read more about requirements and prices for hosted servers ,  , FAQ on prices, We have gathered some of our frequently asked questions on prices below., FAQ on prices, Why does the price vary from one assignment to the next?, An assignment is composed of several part elements. The assignment is priced based on the part elements of the assignment. This is why the price may vary, for example depending on the number of registers used for population creation, populations from other data providers or the number of registers from which the project needs data extraction. The part elements of the assignment are described in the section “Part elements of an assignment”., The hourly rate has changed over the years – why?, You can see the changes in the hourly rates of Research Services below., All institutions, 2013, 1,248 DKK, 2012, 1,187 DKK, 2011, 1,167 DKK, 2010 2nd half, 1,197 DKK, 2010 1st half, 1,229 DKK, 2009, 1,229 DKK , 2008, 1,229 DKK, Prices after 2014, Private institutions, Other public institutions, 2024, 2,130 DKK, 1,538 DKK, 2023, 2,130 DKK , 1,568 DKK,  , 2022, 2,130 DKK, 1,568 DKK,  , 2021,  2,168 DKK, 1,735 DKK,  , 2020, 2,202 DKK, 1,745 DKK ,  , 2019,  2,202 DKK, 1,607 DKK,  , 2018, 2nd half,  1,749 DKK, 1,050 DKK,  , 2018, 1st half,  1,749 DKK, 1,050 DKK,  , 2017,  1,650 DKK, 1,050 DKK,  , 2016,  1,650 DKK, 1,050 DKK,  , 2015,  1,750 DKK, 1,050 DKK,  , 2014,  1,650 DKK, 1,050 DKK, There are various reasons for the price changes., Each year, we adjust the hourly rate for surcharge, which accumulates the surplus/deficit of previous years. Moreover, we include an income forecast for the current year, which can cause variations from one year to the next., Public institutions are not allowed to generate a profit. For that reason, Statistics Denmark regularly adjusts the hourly rates so that they reflect the actual costs and make the accounts balance., In 2014, a distinction was made between private and public institutions, when Research Services for the first time received a special contribution from the coordinating organ for register research, KOR, among others, supporting the hourly rate for public users. This accounts for the difference in price depending on whether a private or a public institution owns the project., Why must I pay for other variables to be added to my project?, Changes in an already existing project must be described in the project proposal and/or the variables documentation. Furthermore, they must be documented and the approval must be renewed in Research Services.  The only exception that does not require renewed approval is an update of an already approved population or variable., The approval requires a number of processes, which can be anything from dialogue between you and Research Services to a review of the project and its variables documentation for renewed approval of the project. The process can vary considerably depending on the project, and the time consumption up until the approval is in the range of 1-4 hours whether for new projects, updates or extensions. The price of processing a project proposal is therefore set at two hours. If the time consumption exceeds four hours, a supplementary agreement is made in the form of a framework agreement to cover the actual processing time., We encourage you to make a professional assessment of when and how often you apply for approval of project changes,, so that we can reduce the number of ongoing and minor changes., For how long is a quotation valid?, A quotation is valid for 30 days starting from the date of the quotation. After that, we recalculate the quotation at the current hourly rate., How we charge for a project database? , The charge is based on an annual contract with a fixed-price agreement that includes update of agreed register data in the project database as well as a possible framework agreement for additional services, such as deliveries from the project database to sub-projects and consultancy according to the needs of the project database., The establishment of a project database follows the same pricing guidelines as a new project. Since the project database has a longer time perspective than a project, an annual contract on updating is entered. Thus, the pricing is based on an expected average time consumption for the service., The settlement period appears from the below table. The fixed-price agreement for updating of the project database is settled together with the Q2 settlement of ‘Additional services’. ‘Additional services’ are settled quarterly., Invoiced in the calendar year yyyy, Invoiced in the calendar year, The annual contract covers, Mid-January, Mid-April, Mid-July, Mid-October, Mid-January, Data extraction, Fixed-price agreement for data, Additional services, Consumption Q4 from the previous year, Consumption Q1, Consumption Q2, Consumption Q3, Consumption Q4, Why do prices of comparable services vary?, The price of services is based on past experience and averages. Comparable services may imply small differences in the various part elements that affect the price, for example, the price of processing external data (submitted from other data providers) compared to processing of standardised data extractions from registers in Statistics Denmark’s databank of basic data. If project changes appear later in the process, the price may change based on the changes. Furthermore, the hourly rate is calculated annually, which can also affect the assignment price., What is the background for Statistics Denmark’s prices?, Statistics Denmark is the central producer of statistics in Denmark, and the costs of carrying this obligation as an authority are covered by the Danish Finance Act., The data that we collect and store can be used for scientific and statistical surveys under Statistics Denmark’s researcher scheme. Only authorised research and analysis environments are granted access to data, and we charge for making data available for the surveys., In principle, the price must cover the costs associated with performing the assignments from the initial dialogue to the final dialogue no later than 30 days after the assignment has been delivered., The price must further contribute towards the costs associated with:, Consultancy on the use of data in the individual project., Administration of the scheme, for example authorisation, Data access rights, Standardisation of register data, Development of our user services, Securing continued high data security and data confidentiality, Overhead costs, Statistics Denmark’s pricing is subject to the rules on externally funded activities in the public sector and is checked by the National Audit Office of Denmark. Income and expenditure must balance, and the income from services must not be used to fund the obligations of the authority. The financial balance is continuously monitored across a ten-year average.

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/priser-og-prisaftaler

Rules on transfer of analysis results

Users of Statistics Denmark’s Researcher machines must comply with Statistics Denmark’s rules and guidelines on transfer and data security. Non-compliance may involve sanctions. Read here what you can transfer and how to do it., Never transfer data that includes microdata, Data that includes microdata may never be transferred, not via the transfer tool nor in any other way, for example by transcribing information from Statistics Denmark’s researcher machines, taking a screendump or a photo of the screen with you mobile phone. , Read more under Rules for working with microdata, Transfer of analysis results – what is allowed? , As a user of Statistics Denmark’s researcher machines, you can transfer analysis results and other material, when all three conditions have been met:, All data with information on individual/enterprise level and pseudonymised key variables has been removed, so that neither direct nor indirect identification or recognition of, for example, individual persons, households, families or enterprises in the material is possible. Read further below under ‘What is microdata’, and , Your material has been subjected to sufficient statistical disclosure control, so that you cannot neither directly nor indirectly identify or recognise individual units, for example, individual persons or enterprises.  Read further below under ’Statistics Denmark’s rules on statistical disclosure control – in brief’, and, The file type of your material is approved for transfer and the transfer happens via the transfer tool in Denmark’s Data Portal (DDV). Read further below under ’Transfer via transfer tool in DDV - guide’ and ’Transfer via transfer tool - allowed file types’, When you have transferred your analysis results or other material in compliance with all three conditions, you are allowed to continue processing them on your own server, for example by making charts or performing analyses in statistical programmes., Note, : Statistics Denmark’s rules on transfer and data security apply for all data on Statistics Denmark’s researcher machines. This includes data you have been granted access to via Statistics Denmark as well as external data that has been transferred from other providers or own sources. Non-compliance may involve sanctions. , Read more under Sanction rules,  , What is microdata?, Statistics Denmark defines microdata as data related to single observations, except for sex, age, industry and municipality/sector. Examples of microdata include:, Pseudonymised key variables, that refer directly to an individual person, household, family or enterprise, for example, PNR (civil registration numbers), CVR numbers, establishment numbers, address codes such as BOPIKOM and FAMILIE-ID, etc., Data sets or parts of data sets, that hold background information such as income, education and socio-economic status, or calculated variables on an individual level, where the pseudonymised civil registration number has been removed. The same applies to data on enterprises., The main objective of Statistics Denmark’s Data Confidentiality Policy is to ensure that microdata made available through the microdata schemes cannot be used to identify individual persons or enterprises. This is why all analysis results and other materials must be completely stripped of microdata, before these can be transferred. , Are you in doubt about the rules? This is how you get answers , If you have questions about the rules, or if you are in doubt whether your material for transfer contains microdata, you may not transfer until you have found guidance. You can find further guidance in Statistics Denmark’s guide materials: , Rules for data safety under the microdata schemes (pdf), If you do not find the answer here, you should seek guidance from a more experienced user in your institution. Make sure that the person you are asking for guidance has access to the same project as you, before you show your screen to that person and receive specific guidance. , In case of questions of a more general nature, you can also contact Research Services at , FSEHjemtag@dst.dk, . In your request, you must indicate your ident and, if relevant, your project number. , Note, : If you want to describe a data set or what you suspect could be microdata, you must never include actual data or information. Always use fictitious figures and examples., Statistics Denmark’s rules on statistical disclosure control for personal data – in brief, As a main rule, analysis results, aggregate tables or figures may only be transferred, if it is not possible neither directly nor indirectly to identify or recognise individual units, such as individual persons or households. This is why Statistics Denmark requires that analysis results and other material for transfer be subjected to statistical disclosure control. Below, you will find a description of the rules on statistical disclosure control for personal data. , Personal data – Statistics Denmark’s statistical disclosure control requirements , The requirements for statistical disclosure control in relation to personal data determine that analysis results or other material that is requested transferred from Statistics Denmark’s researcher machines may not contain information on individual units. In practice, this means that it must not be possible to identify, recognise or obtain information on individual persons or enterprises, neither directly nor indirectly, in the transferred material., Statistics Denmark’s requirements for statistical disclosure control applicable for personal data are:, There must be , minimum 3 observations per table cell, for transfer of analysis results or other material from Statistics Denmark’s researcher machines to be allowed. The requirements may be stricter for some registers, for example minimum 5 observations per table cell. If this is the case, it will be indicated in Denmark’s Data Portal when you order data., For formats that do not include table cells, such as figures or graphs, a good rule of thumb is that they should have at least 3 observations per table cell if converted to tables. If this is not the case, further aggregation is required. Aggregation means merging of cells/figures until they comply with the statistical disclosure control requirement and ensure anonymity., It must not be possible by backward calculation or cross reading to deduce observations that have been aggregated or otherwise obscured or removed in a table, graph or figure. If this is possible, further aggregation is required., Note, : The above description is intended only as a guide. The final responsibility that your material has been subjected to sufficient statistical disclosure control lies with you as user. The level of aggregation depends on a specific assessment of your material, and if you are in doubt whether 3 or in some cases 5 observations are enough to ensure anonymity, you should aggregate further. , You can find further guidance and examples in Statistics Denmark’s guide materials: , Rules for data safety under the microdata schemes (pdf), Are you in doubt? This is how you get help, If you are in doubt whether your file complies with Statistics Denmark’s requirements for statistical disclosure control, you must refrain from transfer until you have aggregated your material further or received guidance from a more experienced user in your institution. Make sure that the person you are asking for guidance has access to the same project as you, in order for you to be allowed to show your screen to that person and receive specific guidance. , In case of questions of a more general nature, you can also contact Research Services at , FSEHjemtag@dst.dk, . In your request, you must indicate your ident and, if relevant, your project number. , Note, : If you want to describe a data set or what you suspect could be microdata, you must never include actual data or information. Always use fictitious figures and examples., Statistics Denmark’s rules on statistical disclosure control for business data – in brief, As a main rule, analysis results, aggregate tables or figures may only be transferred, when it is not possible neither directly nor indirectly to identify or recognise individual units, such as enterprises. This is why Statistics Denmark requires that analysis results and other material for transfer be subjected to statistical disclosure control. Below, we go through the main rules for business data., Business data – Statistics Denmark’s statistical disclosure control requirements, The requirements for statistical disclosure control in relation to business data establishes that analysis results or other material that is requested transferred from Statistics Denmark’s researcher machines, may not contain information on individual units. In practice, this means that it must not be possible to identify, recognise or obtain information on enterprises or workplaces, neither directly nor indirectly, in the transferred material. , Statistics Denmark’s requirements for statistical disclosure control applicable for business data are:, There must be minimum 3 observations per table cell to allow transfer of the analysis results or other material from Statistics Denmark’s researcher machine. For formats that do not include table cells, such as figures or graphs, a good rule of thumb is that they should have at least 3 observations per table cell if converted to tables. If this is not the case, further aggregation is required. Aggregation means merging of cells/figures until they comply with the statistical disclosure control requirement and ensure anonymity., It must not be possible by backward calculation or cross reading to deduce observations that have been aggregated or otherwise obscured or removed in a table, graph or figure. If this is possible, further aggregation is required., In case of analysis results on operating economy variables, it must be taken into account that individual enterprises must not dominate the data set so that publication of the total exposes too much. In practice, this means that the one or two biggest statistical units (enterprises) combined must not account for more than 85 per cent of the total. You can read about the statistical disclosure control methods by the dominance rule in , Statistics Denmark’s Data Confidentiality Policy, , pp. 15-17. , Note, : The above description is intended only as a guide. A sufficient level of aggregation depends on a concrete assessment of your material, and you, as a user, has the final responsibility that your material ensures anonymity. , You can find further guidance and examples in Statistics Denmark’s guide materials: , Rules for data safety under the microdata schemes (pdf), Are you in doubt? This is how you get help, If you are in doubt whether your file complies with Statistics Denmark’s requirements for statistical disclosure control, you must refrain from transfer until you have aggregated your material further or received guidance from a more experienced user in your institution. Make sure that the person you are asking for guidance has access to the same project as you, before you show your screen to that person and receive specific guidance. , In case of questions of a more general nature, you can also contact Research Services at , FSEHjemtag@dst.dk, . In your request, you must indicate your ident and, if relevant, your project number. Note: If you want to describe a data set or what you suspect could be microdata, you must never include actual data or information. Always use fictitious figures and examples., Transfer via the transfer tool via Denmark’s Data Portal - guide, Unless a special agreement has been entered, any transfer from Statistics Denmark’s researcher machines must happen via the transfer tool in Denmark’s Data Portal (DDV). The process takes place in three steps: First, you must upload the files that you want to transfer. Then you must check the files, and eventually, you can download them to your own computer., When the files are uploaded, they will be scanned for possible microdata, so that you can get a warning before you transfer the material, in case is contains data that resembles microdata. In this way, you can correct any errors and avoid breaches. , Note, : The scanning tool is a supplement and cannot replace manual checking. You as a user has the final responsibility that your material has been subjected to sufficient statistical disclosure control and does not contain microdata., Step-by-step guide for transfer and downloading of files, Upload the files, To upload files for transfer, you must use the Researcher machine. First log into remote.dst.dk, and then log into the server to which your project is linked. When you log into the Researcher machine, you will see a number of tools on the remote desktop, including the shortcut “Transfer”. If you click this, an application will open in your web browser, and you will be taken to a page where you can upload files from your project’s work folders for transfer. , Here you can read about Statistics Denmark’s guidelines for transfer of analysis results., Please note that through Denmark’s Data Portal (DDV), you can find information on which server your project is located on, your project-specific username, as well as the option to reset your password for logging into the server., Select which files you want to transfer either by clicking ‘Add files’ or by dragging the files to the page. You can both add individual files and whole folders of files. Note that you can only select files of the allowed file type and size. Read further below under ’Transfer via transfer tool in DDV - allowed file types’ If you select a file that cannot be transferred, you will get an error message., When you have selected the files that you want to transfer, click the button ‘Check’., Check the files, You will now be taken to the page that scans and checks for possible microdata. On the page, you can once more read the guidelines for transfer of files., If you get a risk warning that a file may contain microdata, it is mandatory to add a comment with information on what the file contains. The comment is needed for Research Services’ checking of transferred files. You will be guided on the page. If you find out that you have forgotten to add a file, you can easily navigate back and forth between the upload page and the check page., Before you can transfer the files, you must approve that the selected files comply with Statistics Denmark’s Data Confidentiality Policy and the guidelines for transfer. You approve this by clicking the field next to ‘Approve transfer’. When you have done so, you can transfer the files by clicking ‘Transfer’. You will then get a message saying that your files have been sent from the researcher server., Download the files to your own computer via Denmark’s Data Portal, You are now ready to download the files you have just transferred. To do so, you must log into Denmark’s Data Portal (DDV) in the same way as usual. , Once you have logged in, click ’My overview’. Find the relevant project under the ‘Projects’ tab, and then click the tab ‘Transfers’. Here you will find all the files that have been transferred for the project in question. The files are sorted by the date of transfer., When you click the separate date, you can see all the files that you have transferred on that day. You can also see which comments you have made earlier for the file by clicking the speech bubble, and you can delete the file by clicking the wastebasket., You download the files to your own computer by clicking the downward arrow., Problems transferring?, If you have problems transferring via the transfer tool in Denmark’s Data Portal (DDV), please write to , forskningsservice@dst.dk, ., Transfer via the transfer tool – allowed file types, Only file types approved by Statistics Denmark can be transferred. If you try to upload a file of a non-approved file type, you will get the message: “File type not allowed" in the system. , Note, : Changing the file extension in relation to the file content is not allowed., Allowed file types for transfer from Statistics Denmark’s researcher machines, File type, File extension, Spreadsheet, xls, xlsx, xlsm, xlm, xml, csv, ods, Text, tab, txt, HTML, htm, html, mht, Logs, Log, Latex, Tex, PDF, Pdf, Word, doc, docx, rtf, Programme code, sas, r, do, doh, ado, SAS, lst, sas7bdat, SPSS, sps, sav, spv, Stata, dta, smcl, Graphics, eps, png, wmf, tif, jpg, gif, emf, jpeg, svg, bmp, tiff, Other, ppt, pptx, pptm, odp, Problems, questions or requests? Contact Research Services, If you have problems transferring via the transfer tool in Denmark’s Data Portal (DDV), please write to , forskningsservice@dst.dk, ., Statistics Denmark’s control efforts – control screening and samples, Research Services check the transfer of analysis results under Statistics Denmark’s Microdata schemes by means of a system-supported control tool in Denmark’s Data Portal (DDV) as well as by sampling. The purpose is to ensure that microdata are not transferred and that Statistics Denmark’s statistical disclosure control requirements are observed. , In Research Services’ control screening of transferred materials from Statistics Denmark’s researcher machines, three file types are sampled for control, including: , Files that are risk marked (i.e. files with content that resembles microdata), Files exceeding 1 MB, Files that cannot be scanned  , In addition, 10 per cent of the transferred files from the researcher machines are randomly sampled for checking. , If Research Services’ identifies a breach when checking, it can lead to sanctions. , Read more under Sanction rules,  , Data security and transfer – your responsibility, As a user of Statistics Denmark’s researcher machines, it is your responsibility to familiarise yourself with Statistics Denmark’s rules and to observe them. This means that:, You are responsible for your work on the researcher machines being compliant with Statistics Denmark’s data security rules. Read more under Rules for working with microdata  , You are responsible for transferring analysis results and other materials in compliance with Statistics Denmark’s transfer rules, and, You are responsible for notifying Research Services immediately, if you suspect that you or someone else has breached Statistics Denmark’s data security and transfer rules  , Non-compliance may involve sanctions. , Read more under Sanction rules ,  , Breach of the rules? This is how you handle it, If you fail to comply with Statistics Denmark’s rules or you suspect that you have failed to do so, you have a duty of notification. If you comply with your duty of notification, this will be regarded as a mitigating circumstance., Please notify both the person responsible for authorisation in your institution and Research Services. You notify Research Services by sending an email to , FSEHjemtag@dst.dk, with the following: , Your ident , Project number, if any, A description of the breach or where you suspect a breach, Date and time of the breach , If the breach involves files, for example files you have transferred, image files on your computer, in your mailbox or similar, you must delete them immediately from your PC, Denmark’s Data Portal, mail folders etc. and inform about this in your email to Research Services. , Guides, agreements and documents in relation to data security and responsibility, Statistics Denmark’s data security rules under the Microdata schemes, Rules for data safety under the microdata schemes (pdf), Statistics Denmark’s information security and data confidentiality policy , Information security and data confidentiality policy – Statistics Denmark, Agreements (in Danish), Autorisationsaftale (pdf), Databehandleraftale (pdf), Tilknytningsaftale (pdf), Brugeraftale (pdf)

https://www.dst.dk/en/TilSalg/data-til-forskning/regler-og-datasikkerhed/regler-for-hjemtagelse-af-analyseresultater

Labour Force Survey (LFS)

The Labour Force Survey is the most comprehensive continuous survey in Denmark. The survey is conducted quarterly and is based on a sample of the population. Each year 85,000 Danes aged 15-74 years participate. The Labour Force Survey in Denmark, called Arbejdskraftundersøgelsen (AKU), is the Danish contribution to the European Labour Force Survey and the survey is included in the unemployment statistics of Eurostat and the OECD. Data is collected and processed according to the same principles in all EU member states. The survey has been conducted continuously since 1994., The main purpose of the Labour Force Survey is to cast light upon the attachment of the population to the labour market. The population aged 15-74 years is generally divided into employed persons, LFS unemployed persons and persons outside the labour force., Furthermore the survey covers a range of other matters, and it is especially suited for:, Drawing international comparisons , Providing knowledge about unemployed persons who are not entitled to claim social benefits , Knowledge about youth unemployment (15-24-year-olds) , Specifications on working time. , In addition to the fixed questions, the questionnaire is regularly supplemented with additional questions with regard to a variety of subjects, e.g. disabled persons in the labour marker, work and family life or the transition to retirement.    , The results from the Labour Force Survey are published quarterly in the publication Nyt fra Danmarks Statistik (News from Statistics Denmark)., Quality Declaration, The quality declaration provides information about the Labour Force Survey. You can find information about the purpose of the survey, the possible applications and who the typical users of the survey are. Furthermore there is information about the basic definitions and the methodological prerequisites that the LFS is built upon. In addition the quality declaration contains contact information on the administration of the Danish LFS., Read , Quality Declaration: Labour Force Survey, Documentation, The documentation contains information on the methodological basis for LFS. Here you can find papers on the most central statistical and methodological changes influencing the development of the LFS. Also more in-depth explanation to external users of the LFS that wish to publish figures from the LFS can be found. Furthermore it is possible to get the survey questionnaire and the codifications applied in the LFS. At the same time you can get information on the special modules that are often linked to the LFS (the so-called Ad hoc modules)., Here is a range of information about the Labour Force Survey central to the documentation of the survey. For example how the questionnaire is constructed, which codifications are used and furthermore papers describing the conceptual and methodological conditions and developments in the Labour Force Survey. These papers are supplementary to the declaration of content of the LFS. In addition, guidelines for the use of data from the LFS are described., Read:, The LFS-questionnarie, Codification,  , Publishing LFS-data, Statistics Denmark has described some guidelines for the use of data from the LFS. The purpose is to assure quality in the analysis based on the LFS and furthermore inform external users of the LFS on e.g. sampling errors. It is possible to achieve knowledge about publishing limits on yearly and quarterly basis. For further information:, Paper on guidelines to inform external users,  , Paper on additional guidelines to inform external users,  ,  , Method, The incoming results from the Labour Force Survey are weighted before publishing the results for the entire population. The method of weighting has been revised several times over the years, which can influence the development in the figures of employment and unemployment at the aggregate level, as well as the developments of figures for subgroups., One should be aware of four revisions in the method of weighting: 2003, 2007, 2011 and 2015. In connection with the method of weighting in 2011, data going back to 2007 were revised. The present method of weighting was implemented in Q3 2015 and the method now includes a weighting method based on the panels. The new weighting method led to marginal changes in the data, and therefore the data was not revised back in time., The actual effect of the revision in the method of weighting in 2011 is described in the paper below. Here you can read about in which way the revision in the method of weighting has influenced the level of employment in general and additional the size of subgroups (i.e. age groups, part-time and fulltime employees, educational groups and employed/self-employed persons)., Paper on the 2011 weighting-method (practically), (Danish version) , The theoretical considerations behind the changes in the method of weighting as well as the gains the revisions have led to on the LFS, are described in the following document. Here one can read about the background and the motivation for the revisions. Among other things, the revisions has led to a more precise age distinction and improved use of help information from several registers., Paper on the 2011 weighting-method (theoretically), (Danish version), Prior to 2007 a method implemented in 2003 was used. This revision implemented a correction where sex is corrected according to secondary age groups. At the same time it is described how the register of unemployment (CRAM) was used to divide the LFS-unemployed in the survey., Paper on the 2003 weighting-method, (Danish version) , EU modules, The Labour Force Survey can be supplemented with additional questions, so-called “EU modules”. The main focus of the EU modules changes yearly, but at the same time the construction “rotates” meaning that the same subjects are repeated regularly. In Denmark, ¼ of the respondents participate in the survey during a year., How can one use the EU modules?, If your organization or firm is interested in the subjects from the EU modules, it is possible to:, • Gain access to data from already completed EU modules, • Link additional questions to forthcoming EU modules, • Get involved in the development of EU modules,  For an overview of the EU modules: , Information om EU moduler 1999 - 2025, (Danish version),  , Concepts, Here you can find definitions of the central concepts in the LFS e.g. who is counted as employed, LFS unemployed and outside the labour force. In addition there are a range of papers that deepens the LFS concepts on unemployment, employment and working time, and compare them with the concepts of the register-based labour force statistics., Concepts applied in the LFS, The definitions in the LFS comply with the guidelines as laid down by the ILO, the international labour market organization of the UN. The operationalization of the concepts is made by Eurostat, who coordinates the common European Labour Force Survey. The operationalization is hereby recommended by ILO and Eurostat., Read: , International definitions,  , The general definition of the attachment to the labour market is built up hierarchically implying that:,  , Employed , are: Persons, who in a given reference week have worked for payment for at least one hour, and persons temporarily absent from their job., For further information about the concept of employment in the LFS and other relevant statistics read , Paper on Employment concepts in the Labour Force Survey, National Accounts and Working Time Accounts, and for a brief overview read , Employment concepts, (Danish version).  , LFS unemployed, are: Persons, who are not defined as being employed, and who have actively been looking for work in the past four weeks, and furthermore are able to start a new job within two weeks. Unemployed persons in the LFS are not defined equally to unemployed persons in the registered unemployment. Despite this fact, there will be overlaps between the two statistics if the unemployed persons in the registers also meet the criteria defined in the LFS. Groups that will be present in both statistics are the following: , - , Net unemployed, : Persons who are actively seeking for and are ready to start a job (so-called match group 1), who receive unemployment benefits or social assistance and furthermore fulfill the criteria of LFS unemployment., - , Activated persons, : Persons in activation who receive unemployment benefits or social assistance and who are ready to start a job (match group 1) and furthermore fulfill the criteria of LFS unemployment. The net unemployed together with the activated persons ready to start a job form the group of , gross unemployment, .,  Other groups that will not be included in the registered unemployment but will be included in the LFS are:, - , Students, : This group will typically not be included in the registered unemployment, while this group receives educational support (SU) which is not an unemployment benefit. If students, as well as other persons, fulfill the definition of unemployment in the LFS, they are included in the LFS unemployment.   , - , Other LFS-unemployed, : Other LFS-unemployed is a group that can contain all the persons who fulfill the definition of unemployment in the LFS, but are not gross unemployed or students. This group is very inhomogeneous. Some of the typical groups will be unemployed who are not able to receive unemployment benefits or social assistance (i.e. because of their spouse’s income or because of a missing membership of an unemployment insurance or unemployed who are not ready to start a job (match group 2 and 3), but have still not surpassed to early retirement etc. and hereby left the workforce)). , Read more about the concept of unemployment in LFS and other statistics , Paper on Unemployment in LFS and other Danish statistics, (Danish version) and for an overview , Unemployment concepts, (Danish version)  , • , Outside the labour force are:, er: Persons, who neither comply with the employment definition, nor the unemployment definition. This could be minors, pensioners and students, who either do not have a job or have actively been seeking for a job.  , Other central concepts for the LFS are:, • , Reference week, : The specific week that the respondent is asked about. Whether you are employed or LFS unemployed, how many hours you have worked during the week etc., is related to the specific reference week. The date of the interview can be up to four weeks after the reference week, typically 1-2 weeks after. There are 13 reference weeks per quarter.,  • , Weighting method, : The way in which the sample is weighted to the entire population, in order to make the results as representative as possible. It is always weighted figures that are being published. The method of weighting practically means that each person participating in the LFS gets his or her own weight and hereby represents a specific sample of the population with regards to sex and age. The method of weighting has been revised several times over the years (read under “Documentation/Method” for more information).,  • , Sample bias (uncertainty), : This covers the general uncertainty connected to sample based surveys as the Labour Force Survey. The uncertainty is approximately +/- 10,000 persons on the general quarterly unemployment figure and approximately +/- 20,000 persons on the general quarterly employment figure.,  • , Seasonal adjustment, : A method that removes yearly recurrent patterns in the three time series: employment, unemployment and people outside the labour force. There is not introduced seasonal adjustment on more disaggregated levels. The purpose of seasonal adjustment is to take into account i.e. unemployment or employment caused by seasons that can affect the development.,  • , Working time, : The Labour Force Survey asks about three different types of working time in a specific reference week; usual, contractual and actual working hours. For more information about working time read , Paper on Working time in LFS and other Danish statistics, (Danish version), Other relevant statistics, Statistics Denmark is also publishing register based statistics compiling the population’s labour market status. For further details see the subject pages and the papers present on this site., For more information on the Register-based labour force, employment (RAS) , Labour force participation, For more information on the registered unemployment , Unemployment, For more information on the statement of employment in RAS, the Working Time Accounts (ATR) and Public Sector Employment (BFL) , Employment, Time Series, Here it is possible to get a description of the developments and breaks in the time series that have been analyzed more in-depth. There will be general information about the time series and short presentations of i.e. the employment series, unemployment series and the working time series., The LFS has been conducted since 1994 and in general it is possible to compile consistent time series based on LFS data going back to 2000. Continuous LFS tables from 1996 and onwards are available from Statistics Denmark’s database StatBank Denmark. However, following adjustments in the method of weighting, changes have been made in some data series. As a consequence, these cannot be used in monitoring developments in specific quarters or years. Developments in long durations of time can however be applied., It is furthermore possible to find yearly data for some selected estimates back to 1983 at Eurostat’s Stat bank. However the yearly data between 1983-1993 are based on results from the 2nd quarter and should therefore be treated with caution. , The employment series, In Statbank Denmark, you can find more data on Labour force status (AKU110A),  , The employment series measure how many persons are employed having minimum 1 hour of paid work or are temporary absence in the reference week. As figure 1 shows the total employment in 2000 initially was 2,700,000. The following two years until 2003/2004, employment is relatively stable. In 2004 the employment raises with 23,000 persons compared to 2003, which indicates a raise on 0.9 percentages. It is important to notice that the employment series was affected in 2003 when a new method of weighting was implemented, and the stratification of the sample was changed. Both these conditions made the number of employed persons rise and are the reason for the development from 2003-2004., In 2007 the sample was expanded and the panel structure changed, and furthermore data from 2007 and forthcoming have been revised on the basis of the method of weighting from 2011. This has led to a decrease in the estimated number of persons employed. The decline in the employment in the period of 2006/2007 is untypical, since the employment rises from 2005-2006 and again from 2007-2008. Consequently, caution should be made with respect to drawing conclusions on the basis of the development between the years 2006 and 2007, especially with regards to subgroups, while longer time series can be concluded upon., More details about the development in employment , Paper on Employment concepts in the Labour Force Survey, National Accounts and Working Time Accounts, The unemployment series, In Statbank Denmark, you can find more data on Labour force status (AKU110A), The unemployment series in the LFS is built upon the ILO definition of unemployment, where a person is unemployed if he or she is not employed in the specific reference week. Besides fulfilling this criterion, furthermore it is demanded that the person is actively seeking a job and is able to start working within 14 days. If the person does not fulfill these criteria, one is categorized as being outside the labour force and not LFS unemployed., At the same time one should take notice of the revisions in the method of weighting in 2003, 2007 and 2011. The latest revisions from 2011 revise the figures back to 2007., Consequently, caution should be made with respect to conducting analyses directly on the basis of the developments over the years 2003/2004 and 2006/2007, especially with regards to sub groups. In longer time series the before mentioned periods are not so problematic., More details about the development in unemployment , Paper on Unemployment in LFS and other Danish statistics, (Danish version), The educational series, The education series is also affected by the discontinuity in data series from 2006 to 2007. The percentage of the population aged 30-34 years with a higher education fell from 2006 to 2007 from 43 to 38 percentages. The percentage has risen since then and in 2009, 2010 and 2011 the percentage was once again above the 2020-goal (40 percentage). This development is a consequence of the 2011-weigthing method that has a better correction with regards to the bias on education caused by age. , This remarkable shift is first of all caused by the change in method of weighting in 2007. Before 2007 the LFS tends to have an overrepresentation of persons with higher education. With the implementation of the latest method of weighting from 2011 (that is revised back to 2007), the educational level falls. From here on the level of education in the LFS is more in compliance with the level of education in the register of education. The fall from 2006-2007 is thereby not a real decline in the educational level., For the educational series, the changes caused by the method of weighting are so significant, that one cannot make long-term analysis over the years 2006-2007. Therefore it is recommended to initiate time series in 2007., More details about the development in the educational series , Paper on the development in the educational level in the LFS , (Danish version), The working time series, The development in the average working time in the LFS (in hours), In Statbank Denmark, you can find more data on Average weekly hours of work in main job (AKU410A), In the Danish LFS there are three types of working time; the contractual, usual and actual working hours. The working time series do not contain any substantial changes in connection with the adjustment in 2006/2007 in general. However, this is not the case for the working time for persons aged 15-24 years. The average estimated working time has increased by one hour for persons aged 15-24 years from 2006 to 2007, which probably is due to the method of weighting. This must be taken into account in the case of long time series for the working time of young people. In line with this change, there has also been a shift from the group of persons working “1-15 hours” to the group of persons working “38-48 hours” among young people. However, this is primarily the case between the 4th quarter of 2006 and the 1st quarter of 2007. Subsequently, there is again a fall that is instrumental in reducing the general change in the level, which implies that the shift is problematic only to a minor degree., More details about the development in the working time series , Paper on Working time in LFS and other Danish statistics, (Danish version), Tailor-made analyses, Here it is possible to gain information on tailor-made analyses coupled to the LFS. One can include questions in the Danish LFS and furthermore it is possible to ask for special analysis on existing data., What are your needs?, If your organization or firm is in need of new or updated knowledge about the labour market e.g. social engagement, working time or undeclared work, the LFS is a straightforward alternative to initialize a survey from point zero., How can you use the LFS?, The Labour Force Survey makes it possible to carry out special analyses that are based on the regular analyses of the LFS i.e. by introducing questions or tailor-made analyses., In this regard, tailor-made analyses, are specific operations of data from the LFS that are not published elsewhere (i.e. in Statbank). An example of this could be the number of part-time employees that works nighttime in the capital area or how many people with the highest educational level that are currently working on temporary basis etc., Special analyses, cover variables defined by the user that are included in the questionnaire. These variables can be measured against all other variables from the LFS as well as variables from registers. An example of this could be the number of working accidents or the satisfaction one has with the membership of a union etc. This can be linked to the additional results from the LFS. Special analyses will be developed in close connection with the staff of the Danish LFS., Advantages, By using the LFS to get your specific subjects examined, you will have access to the staff of the LFS’ expertise, infrastructure, our respondents and other data., We can promise a flexible solution that suits you well. We are able to deliver data three months after the quarter terminates., The costs, The prize of tailor-analyses is depended on the numbers of interviews, the audience, the panel structure, which quarter is chosen, as well as the preparations and the complexity of the questions (simple or complex).,  , More information, For further information about the LFS feel free to contact us: +45 39 17 34 00 or write an email to one of the employees from the Labor Force Survey.

https://www.dst.dk/en/Statistik/dokumentation/metode/aku-arbejdskraftundersoegelsen

JORD3: Profit and loss accounts for part-time farms (average)

type of farm, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD3

Tables in StatBank

NAHFK: National accounts

balance sheets, account entry, financial instrument and time
1995-2024 (m DKK)

https://www.statbank.dk/NAHFK

Tables in StatBank

OFF17: General government, subsidies (to corporations)

grant type and time
1971-2024 (m DKK)

https://www.statbank.dk/OFF17

Tables in StatBank

RAAV1: Manufacturing industry

commodity group (2digits), industry (DB07), unit and time
2002-2023 (-)

https://www.statbank.dk/RAAV1

Tables in StatBank