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Documentation of statistics: Real property taxes

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Real property taxes 2025 , Previous versions, Real property taxes 2024, Real property taxes 2023, Real property taxes 2022, Real property taxes 2021, Real property taxes 2020, Taxation of Real Property 2014, Taxation of Real Property 2013, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Statistical presentation, The statistics are a yearly overview of the Danish property taxation. The statistics show the distribution of property taxes to municipalities as well as type of tax (land tax and reimbursement duties). A weighted average is calculated for each region and the entire country. The statistics are published in the StatBank. , Read more about statistical presentation, Statistical processing, The statistics is based on data from the Danish Customs and Tax Administration. The system contains both valuation and tax data. The data is validated against last year's data and against budget figures for the given year, as well as information on which municipalities that has changed their land tax rate. Data are used without further treatment for the publication., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have a few sources of uncertainty. The Danish Customs and Tax Administration’s property tax system is continuously updated with corrections. The public property valuations, which form the basis for calculating assessed property and land values, were frozen during the period 2013–2023, which is therefore a source of uncertainty. In 2024, a new property tax system was introduced, where taxes have primarily been collected based on provisional valuations. , Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November in the income year, where final data is published. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The census has been conducted since 1937, but changes in municipal and county compositions makes comparisons over time difficult. However, in its current form the statistics is comparable from 2007 and onwards. The taxation systems differ widely across countries, which makes the international comparison difficult based on national sources because of concept and calculation differences. The statistics is the basis for determining the property taxes in government finance statistics. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Real property taxes, . Information about the statistics can be found on the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/real-property-taxes

Documentation of statistics

Documentation of statistics: Market Value for Households Real Estate

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

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

Documentation of statistics

Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, These statistics are published 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 , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Advancing Environmental Statistics in Ghana

Ghana Statistical Service (GSS) together with the Environmental Protection Agency (EPA) is working hard on establishing green national accounts., 19 August 2024 15:00 ,  , The development of robust statistics on environmental goods and services is crucial for understanding the economic contribution of initiatives focused on environmental protection and resource management. These statistics, which form part of the broader system of environmental-economic accounting- often referred to as "green national accounts" - offer valuable insights into the economic activities related to green goods and services. As countries worldwide prioritize sustainability, the ability to measure and report on these areas becomes increasingly important., In July, Ghana made significant progress in this area. Two experts from Statistics Denmark visited Accra to collaborate with representatives from the Environmental Protection Agency (EPA) and Ghana Statistical Services (GSS). Their mission was to develop a strategy for data collection and design effective questionnaires. This visit followed a previous mission that introduced key concepts related to environmental statistics, fostered understanding within the local context, and discussed potential implementation strategies., During the same week, the Executive Director of Ghana's EPA met with the experts from Statistics Denmark to discuss the implementation of the System of Environmental Economic Accounting (SEEA) in Ghana. The meeting underscored the critical role of collaboration between the EPA and Ghana Statistical Services (GSS) in advancing sustainable development. Over the coming years, GSS and EPA, with the support of Statistics Denmark, will focus on Water and Waste accounts to drive informed decision-making and promote a more sustainable future for Ghana., The second mission from Statistics Denmark yielded notable progress. Among the key outcomes was an enhanced understanding of the revised Classification of Environmental Purposes (CEP) among the Ghanaian partners. This classification is essential for accurately categorizing and measuring environmental expenditures. The partners also agreed to combine data collection efforts with the existing Business Survey (IBES 2). This approach is expected to streamline the process and ensure more comprehensive data collection., A critical aspect of the mission involved discussions on how to structure the questionnaire, which will be a primary tool in gathering the necessary data. These discussions culminated in an agreement on an ambitious action plan, with a target date set for publishing the statistics on green goods and services by the end of January 2026., This collaboration between Ghana and international experts from Statistics Denmark is part of the  Strategic Sector Cooperation scheme financed by the Danish Ministry of Foreign Affairs. The collaboration represents a significant stride toward developing a reliable and comprehensive framework for environmental-economic accounting in the country. As Ghana continues to integrate these practices, the resulting data will be invaluable for shaping policies and strategies that support sustainable development and environmental stewardship.,  , You can read more about our different projects under the Strategic Sector Cooperation scheme here: ,  , Ghana, Morocco, Vietnam

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/19-08-2024-Advancing-Environmental-Statistics-in-Ghana

Bosnia-Herzegovina 2024-2026

Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., This Twinning project addresses multiple institutions as they all constitute the national statistical system of Bosnia-Herzegovina. , The beneficiary institutions are:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of the Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska,, The Central Bank of Bosnia and Herzegovina, The overall objective of the project is to strengthen the national statistical system (NSS) in Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. The importance of this objective was highlighted on 15 December 2022, when , Bosnia and Herzegovina received candidate status for EU membership. The candidate status adds further urgency to the approximation process. , The project addresses five independent components:, Component 1: Business Statistics , Component 2: Tourism Satellite Accounts (TSA), Component 3: Information and Communication Technology Statistics (ICT), Component 4: Labour Markets Statistics , Component 5: Monthly Balance of Payments Statistics, Business Statistics, From previous Twinning Projects in Bosnia-Herzegovina, Danish and Finish experts have an in depth understanding of the local conditions. As EBS has come into effect both structural business statistics and short term statistics has to be adjusted in terms of methodology and data collection thereby requiring changes to the Statistical Business Register. At the same time, the burden put on respondents must not grow and should preferably be reduced through better data collecting and use of administrative data. ,  , Administrative data sources, The consortium has significant experience in the use of administrative data for production of statistics. With some accuracy, it can be claimed that the use of administrative data was invented in Scandinavia.,  , Denmark and Finland has a long history of using administrative data sources. Statistics Finland is required by law to use administrative sources if available in order to minimize respondent burden and in Denmark, nearly all social statistics are based on administrative records. Data on wages and employment are also usually extracted from business and tax authorities. ,  , TSA and ICT, TSA and ICT are new areas to this Twinning but are all produced by the MS partners. Implementation of ICT in Bosnian-Herzegovina is already well advanced and the component may be directed more at methodologies used for collecting and producing the statistics than actually compiling them. TSA or more formally Tourism Satellite accounts are often produced in a venture between NSIs and relevant public institutions such as the national board of tourism and academia. ,  , Labour markets statistics, Labour market statistics are produced according to Eurostat and ILO requirement. Data is compiled using a combination of surveys and administrative records. The coming project will focus on using administrative records.  ,  , Monthly Balance of Payment, Balance of Payment is usually produced in close collaboration between the national statistical institutes and the Central / National Bank. As in two previous project, we hope to continue the work relation established between Statistics Finland, the Central Bank of Finland and the Central Bank of Bosnia-Herzegovina. If relevant expertise from Italy may also be mobilized.

https://www.dst.dk/en/consulting/projects/bosnia-herzegovina-2024-2026

Prices and Pricing Policy

GENERAL PRINCIPLES, Statistics Denmark is the central producer of statistics in Denmark. The costs of carrying this obligation as an authority are covered by the Danish Finance Act. The data stored and collected by Statistics Denmark can also be used to compile other sets of statistics than those, which we are obliged to publish. Basically, we charge for finding figures and for compiling new sets of statistics beyond our obligations as an authority., The general principle is for the price to cover the costs of performing an individual service. In addition, the price must contribute to cover any costs associated with preparing data for special runs of any kind. When calculating the price of a service, we distinguish between standard products and customised solutions., Statistics Denmark’s pricing is subject to the rules on externally funded activities in the public sector (i.e. pricing must be on a cost recovery basis) and is checked by the National Audit Office of Denmark. Income and costs 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 four-year average. , PRICES OF STANDARD PRODUCTS, Standard products are a number of statistical records that are used to accommodate a high demand for a specific set of statistics. Standard products enable us to quickly provide data at low cost and with high efficiency. , The price for providing standard products is determined in price lists for the individual product. The price covers the direct costs for development and operation., Product overview (standard products), PRICES OF CUSTOMISED SOLUTIONS, Customised solutions involve data that we adapt to the customer’s individual requirements, e.g. special geographical breakdowns, very detailed statistics, or combinations of variables that have not been made public., Learn more about customised solutions, The price of a customised solution is calculated on the basis of the time spent solving the task, and the number of hours is then multiplied by an hourly rate for services., The hourly rate for services is calculated each year according to the rules on externally funded activities and according to the rules about balance in the financial year and requirements that all costs associated with providing the service must be covered., The hourly rates are based on the development of earnings, overheads (e.g. costs of IT, invoicing systems, etc.), hours that are not directly invoiceable (e.g. answering mails and meetings with potential customers) and costs for development and enhancement of the externally funded activities. , Hourly rate for services: DKK 1,476.00 exclusive of VAT (1,845.00 including VAT)., The hourly rates are based on expectations to the development of earnings, overheads, volume of externally funded activities, number of hours spent on products, and development costs for improvement of externally funded activities., With the current hourly rate, we anticipate income and costs to break even for the externally funded activities, also taking the profits and losses of previous years into account. , CONTRACTS, Statistics Denmark has the established practice of using standard contracts providing the customer with an overview of the agreement or agreements we enter. The contract includes e.g. a description of the content in the delivery, a clarification of delivery times, clarification of data rights, price and any special conditions regarding copyright etc. Together with the contract, you will also receive Statistics Denmark’s , general terms and conditions of agreement, , covering the responsibilities of Statistics Denmark, rules about disclosure of the provided material, terms of payment etc., Statistics Denmark’s business conditions, DATA PROCESSOR AGREEMENTS, In cases where Statistics Denmark performs services that involve processing of our customers’ data, e.g. personal data, we must draw up a so-called data processor agreement by which the customer is the data controller and Statistics Denmark is the data processor. Learn more about our , data processor agreement, .

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/priser-og-aftalevilkaar/prispolitik

Morocco 2019-2023

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner is the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco., The overall objective, The overall objective of the Strategic Sector Program is to contribute to the public debate in Morocco by providing the society with relevant and easily accessible statistics and support informed decision making by supporting a:, digital data transformation with the aim to improve the quality of statistics and increase the efficiency of the statistics production,, strengthened user orientation to better understand user needs and improveuser-friendliness and accessibility so more data is used by all levels of society,, improved monitoring and reporting of the Sustainable Development Goals., The project is structured around seven outcomes and associated outputs:, A. Commitment to an IT system where data is treated secure and confidential., Output A1: It strategy and guidelines are developed, Output A2: A data management center is designed and developed, B. Digital data reception replaces manual processes., Output B1: Web based surveys are used for business statistics, Output B2: A digital data collection system is designed and in place (cancelled and merged with output A2), C. Commitment to quality principles is formalized and integrated into all levels of the statistics production., Output C1: Structure and processes for quality principles are formalized and standardized, D. Administrative data is used to a larger extend in the production of statistics - and as input to reporting in the SDGs., Output D1: Agreements on regular data delivery with other public data providers have been established, E. An updated statistical business register lay the basis for all business statistics and provide opportunities for new and higher quality business statistics in general., Output E1: Volume of information in the statistical business register is increased, Output E2: System for automatic update of the statistical business register is developed, Watch the video below about establishing a statistical business register in Morocco under the Strategic Sector Cooperation between Statistics Denmark and Haut-Commissariat au Plan. , F. User orientation including the private sector is strengthened by putting users and their needs at the center of the work of HCP., Output F1: Communication and dissemination strategy developed, Output F2: User dialogue is improved, Output F3: Website of HCP is more user-friendly incl. the HCP StatBank, G. Environmental statistics is improved., Output G1: Quality of environmental statistics arc improved and more indicators are available for SDG monitoring,  , Below you can find a video about the project in Morocco. , A shorter version is also available below the long version., Video on the Strategic Sector Programme - long version - approx. 9 minutes,  , Video on the Strategic Sector Programme - short version - approx 3 minutes,  , Video on the establishment of a Statistical Business Register - approx 3,5 minutes,  ,  ,  

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

Statistics on the Danish national grid

Analyse geographical areas with the Danish national grid, The Danish national grid, which was established by Statistics Denmark and the Danish Geodata Agency, divides the country into thousands of cells, which can be filled with statistics. You can then analyse and aggregate the information in the grid e.g. for use in market analyses, for local planning or for research., Detailed content that is stable over time, The grid is stable over time, unlike administrative divisions such as municipalities, postcodes and parishes. We provide data on grid cells as small as 100 x 100 meter. Provided our requirements for non-identification of individuals or companies can be met (Privacy Requirements). Contact us if you need a different cell size., Below you can see an example of statistics on the grid. The map shows how many people live within each square kilometer (text in Danish only)., Number of inhabitants by 1 square kilometer cells, Attach population statistics to the cells, Statistics Denmark offers several types of statistics on the Danish national grid e.g. by municipalities, regions or the entire country., Statistics on the nighttime population, Here you will find information on the number of households and persons residing within the cells., Documentation - nighttime population, Table example - nighttime population., Statistics on the daytime population, Here you will find information about the number of people staying in the cells during the daytime. You can order two different datasets - one with the number of people in employment and one with the number of students., Documentation - daytime population - employed, Table example - daytime population - employed, Documentation - daytime population - studentst, Table example - daytime population - students, Statistics by other variables, Here you get statistics on the people who reside in the cells of the grid distributed by a number of variables for you to choose. See the overview and read more about standard variables in the documentation document below., List of variables - the Danish national grid, Prices, The Danish National Grid does not cost anything in itself. However, you can find the detailed price list for deliveries of statistics on the grid here:, Pricelist_National_Grid_2025 - English, Privacy Requirements, If you buy statistics from us, we are very careful to comply with the so-called discretionary - or privacy requirements. In practice, this means that we require a certain minimum number of households in each grid cell. The requirements are either 50, 100 or 150 households, depending on the statistical variable you have selected. Cells with a smaller number of households than the minimum requirement must be aggregated with other cells before statistics can be delivered. The merged cells are called clusters. You can read more about how we produce clusters here:, Fact Sheet about clusters, Fact sheet about clusters, You can find the requirements for number of households in the list of variables below:, List of variables - the Danish national grid, Ordering, To order statistics on the Danish National Grid, please click on the button below and fill out the form. We will then prepare an offer that you must approve., ORDER, Contact information, DST Consulting, tel +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics based on distances or neighbourhoods, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/kvadratnet

Profile on employees

Do you want a statistical overview of your employees or members in your organisation? Then we can produce a statistical profile of your employees which contains statistics on, for example, the employees' gender, descent and educational background, Submit your own subgroups, You can break up your employees in subgroups e.g. into job categories, departments or management level. Then we will deliver statistics on these groups. There must be no duplicates – i.e. the same person may not be part of two or more groups at the same time., The tables, There are a total of 6 tables, which contain the following cross tabulations:, Table 1: Staff group x origin, Table 2: Staff group x age, Table 3: Staff group x gender x origin, Table 4: Staff group x region, Table 5: Origin x education, Table 6: Origin x country of origin, Only Tables 1-4 can be delivered on selfdefined subgroups of staff. If you do not want to divide your employees or members into groups, then the tables only contain statistics for the total number of employees. You can see examples of the specific tables by clicking on the link below. Here you can also find a description of the content of the delivery., Price, The price is , DKK 14.232 excl. VAT (DKK 17.790 incl. VAT),, however, the price can increase slightly if you want to get data on your own sub groups of staff. , Therefore you might have to pay for a few hours on top of the above mentioned price., Delivery, In order to prepare the tables, we need the civil registration numbers, (CPR numbers) of the employees or members sent to us. There must be at least 20 people in the company or association in order for us to provide statistics. If you divide staff into smaller groups, the risk of statistical disclosure increases. If, for example, you want to divide into two staff groups, there must be a minimum of 20 people in each group otherwise they will be disclosed. Fewer groups will normally result in more information about staff or members. You can find a template for how to report the CPR numbers below., We usually deliver within two weeks after we have received your order and we have received the CPR numbers. You will receive the tables in Excel sheets by e-mail., Indberetningsskabelon, Important!, Do not send any CPR numbers to Statistics Denmark before you have been told how to do it. Once we have received a division of the employees or members with their CPR numbers, we check them up against the register and send a control table back to you, where the number of valid CPR numbers appears and possibly also the number of duplicates., Order, Click on "Order" below and fill in the order form., ORDER, When you order, you also accept , Statistics Denmark's general terms and conditions., Contact, DST Consulting, tel: +45 3917 3600, Bodil Birkebæk Olesen, tel: +45 3917 3746, Tailor-made statistics, If you need to combine the tables with other variables or have them combined in a different way than in our standard tables, please send an e-mail to our consultants in Customer Centre. , Read more about  , tailor-made solutions, Other relevant products, Key figures on Postcodes, Key figures on Parishes

https://www.dst.dk/en/TilSalg/produkter/noegletal/medarbejderprofil

Documentation of statistics: Emission Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Emission Accounts 2024 , Previous versions, Emission Accounts 2023, Emission Accounts 2022, Emission Accounts 2021, Emission Accounts (including the climate footprint) 2020, Emission Accounts 2019, Emission Accounts 2018, Emission Accounts 2017, Emission Accounts 2016, Emission Accounts 2015, Air Emission Accounts 2013, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY34 (pdf) (in Danish only), The purpose of the Air Emission Account is to illustrate the emission of greenhouse gases and other air pollutants related to industry and households energy consumption and other activities. The accounts can be used for climate and environmental-economic analysis. The emission accounts are developed for 1990 and onwards according to EEA, System of Environmental Economic Accounting, which is a statistical standard published by the UN and several other international organizations provides the "State of the art" for Green National Accounts. The statistics is part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, The air emission accounts are annually accounts on the emission of greenhouse gases and other air pollutants. The air emission accounts follow the same definitions and classification as National Accounts, which allows for analyses of the connection between the economy and air pollution. The accounts are published in a Danish press release and in StatBank under the subject , Energy and air emissions, ., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, There is an uncertainty connected to the compilation of Air Emission Accounts as a combination of scientific assumptions and calculations have to be made. Uncertainty inherited in the source data is transferred to the Air Emission Accounts. However, conceptually consistent and over time uniform treatment of source data contribute to increasing the certainty of data., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published nine month after the reference year without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level, the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, These statistics are published annually in a , Danish press release, , at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Energy and air emissions, . For further information, go to the subject page for , Energy and Emission Accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/emission-accounts

Documentation of statistics